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Bogie BJ, Noël C, Gu F, Nadeau S, Shvetz C, Khan H, Rivard MC, Bouchard S, Lepage M, Guimond S. Using virtual reality to improve verbal episodic memory in schizophrenia: A proof-of-concept trial. Schizophr Res Cogn 2024; 36:100305. [PMID: 38486790 PMCID: PMC10937232 DOI: 10.1016/j.scog.2024.100305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/13/2024] [Accepted: 02/26/2024] [Indexed: 03/17/2024]
Abstract
Background Schizophrenia is associated with impairments in verbal episodic memory. Strategy for Semantic Association Memory (SESAME) training represents a promising cognitive remediation program to improve verbal episodic memory. Virtual reality (VR) may be a novel tool to increase the ecological validity and transfer of learned skills of traditional cognitive remediation programs. The present proof-of-concept study aimed to assess the feasibility, acceptability, and preliminary efficacy of a VR-based cognitive remediation module inspired by SESAME principles to improve the use of verbal episodic memory strategies in schizophrenia. Methods Thirty individuals with schizophrenia/schizoaffective disorder completed this study. Participants were randomized to either a VR-based verbal episodic memory training condition inspired by SESAME principles (intervention group) or an active control condition (control group). In the training condition, a coach taught semantic encoding strategies (active rehearsal and semantic clustering) to help participants remember restaurant orders in VR. In the active control condition, participants completed visuospatial puzzles in VR. Attrition rate, participant experience ratings, and cybersickness questionnaires were used to assess feasibility and acceptability. Trial 1 of the Hopkins Verbal Learning Test - Revised was administered pre- and post-intervention to assess preliminary efficacy. Results Feasibility was demonstrated by a low attrition rate (5.88 %), and acceptability was demonstrated by limited cybersickness and high levels of enjoyment. Although the increase in the number of semantic clusters used following the module did not reach conventional levels of statistical significance in the intervention group, it demonstrated a notable trend with a medium effect size (t = 1.48, p = 0.15, d = 0.54), in contrast to the control group where it remained stable (t = 0.36, p = 0.72, d = 0.13). These findings were similar for the semantic clustering ratio in the intervention (t = 1.61, p = 0.12, d = 0.59) and control (t = 0.36, p = 0.72, d = 0.13) groups. There was no significant change in the number of recalled words in either group following VR immersion. Discussion This VR intervention was feasible, acceptable, and may be useful for improving the use of semantic encoding strategies. These findings support the use of more ecological approaches for the treatment of cognitive impairments in schizophrenia, such as VR-based cognitive remediation.
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Affiliation(s)
- Bryce J.M. Bogie
- MD/PhD Program, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- The Royal's Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
| | - Chelsea Noël
- Department of Psychology, Lakehead University, Thunder Bay, ON, Canada
| | - Feng Gu
- The Royal's Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
| | - Sébastien Nadeau
- Department of Psychoeducation and Psychology, Université du Québec en Outaouais, Gatineau, QC, Canada
| | - Cecelia Shvetz
- The Royal's Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
- Department of Neuroscience, Carleton University, Ottawa, ON, Canada
| | - Hassan Khan
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Marie-Christine Rivard
- Department of Psychoeducation and Psychology, Université du Québec en Outaouais, Gatineau, QC, Canada
| | - Stéphane Bouchard
- Department of Psychoeducation and Psychology, Université du Québec en Outaouais, Gatineau, QC, Canada
- Centre de recherche, Centre Intégré de Santé et de Services Sociaux de l'Outaouais, Gatineau, QC, Canada
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Martin Lepage
- Douglas Research Centre, Montréal, QC, Canada
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Synthia Guimond
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- The Royal's Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
- Department of Neuroscience, Carleton University, Ottawa, ON, Canada
- Department of Psychoeducation and Psychology, Université du Québec en Outaouais, Gatineau, QC, Canada
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
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2
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Totzek JF, Chakravarty MM, Joober R, Malla A, Shah JL, Raucher-Chéné D, Young AL, Hernaus D, Lepage M, Lavigne KM. Longitudinal inference of multiscale markers in psychosis: from hippocampal centrality to functional outcome. Mol Psychiatry 2024:10.1038/s41380-024-02549-x. [PMID: 38605172 DOI: 10.1038/s41380-024-02549-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 03/28/2024] [Accepted: 04/02/2024] [Indexed: 04/13/2024]
Abstract
Multiscale neuroscience conceptualizes mental illness as arising from aberrant interactions across and within multiple biopsychosocial scales. We leverage this framework to propose a multiscale disease progression model of psychosis, in which hippocampal-cortical dysconnectivity precedes impairments in episodic memory and social cognition, which lead to more severe negative symptoms and lower functional outcome. As psychosis represents a heterogeneous collection of biological and behavioral alterations that evolve over time, we further predict this disease progression for a subtype of the patient sample, with other patients showing normal-range performance on all variables. We sampled data from two cross-sectional datasets of first- and multi-episode psychosis, resulting in a sample of 163 patients and 119 non-clinical controls. To address our proposed disease progression model and evaluate potential heterogeneity, we applied a machine-learning algorithm, SuStaIn, to the patient data. SuStaIn uniquely integrates clustering and disease progression modeling and identified three patient subtypes. Subtype 0 showed normal-range performance on all variables. In comparison, Subtype 1 showed lower episodic memory, social cognition, functional outcome, and higher negative symptoms, while Subtype 2 showed lower hippocampal-cortical connectivity and episodic memory. Subtype 1 deteriorated from episodic memory to social cognition, negative symptoms, functional outcome to bilateral hippocampal-cortical dysconnectivity, while Subtype 2 deteriorated from bilateral hippocampal-cortical dysconnectivity to episodic memory and social cognition, functional outcome to negative symptoms. This first application of SuStaIn in a multiscale psychiatric model provides distinct disease trajectories of hippocampal-cortical connectivity, which might underlie the heterogeneous behavioral manifestations of psychosis.
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Affiliation(s)
- Jana F Totzek
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - M Mallar Chakravarty
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
- Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Ridha Joober
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
| | - Ashok Malla
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
| | - Jai L Shah
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
| | - Delphine Raucher-Chéné
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
| | - Alexandra L Young
- Department of Computer Science, University College London, London, United Kingdom
| | - Dennis Hernaus
- Department of Psychiatry & Neuropsychology, School for Mental Health and NeuroScience MHeNS, Maastricht University, Maastricht, The Netherlands
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
| | - Katie M Lavigne
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Douglas Research Centre, Montreal, QC, Canada.
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3
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Hotte-Meunier A, Penney D, Mendelson D, Thibaudeau É, Moritz S, Lepage M, Sauvé G. Effects of metacognitive training (MCT) on social cognition for schizophrenia spectrum and related psychotic disorders: a systematic review and meta-analysis. Psychol Med 2024; 54:914-920. [PMID: 37772399 DOI: 10.1017/s0033291723002611] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/30/2023]
Abstract
BACKGROUND Individuals with schizophrenia spectrum and related psychotic disorders (SSD) experience significant impairments in social cognition that impede functioning. Social cognition is a multidimensional construct consisting of four domains: 1. theory of mind, 2. emotion processing, 3. attributional style and 4. social perception. Metacognitive training (MCT) is an intervention designed to target cognitive biases in psychosis containing two modules addressing social cognition. METHODS A systematic review and meta-analysis was conducted to investigate the effects of MCT on social cognition and two of its domains: theory of mind and emotion processing. Ten electronic databases were scoured from 2007 to 1 February 2022 for MCT studies reporting social cognition outcomes for people with SSD (1050 identified, 282 assessed). Effect sizes were calculated using Cohen's d in R. RESULTS Nine studies were included in the meta-analysis (nMCT = 212, ncontrol = 194). MCT had a small but positive effect on global social cognition (d = 0.28 [95% CI 0.07-0.49]) and theory of mind (d = 0.27 [95% CI 0.01-0.52]). MCT showed no evidence of an effect on emotion processing (d = 0.03 [95% CI -0.26 to 0.32]). CONCLUSION MCT has a small but significant effect on social cognition for people with SSD. Our results add to other recent meta-analyses showing significant effects of MCT on clinically relevant outcomes such as positive symptoms, cognitive biases and cognitive insight. We recommend that future studies on MCT report outcomes on all four domains of social cognition. TRIAL REGISTRATION PROSPERO (in the process of registration) available at https://www.crd.york.ac.uk/prospero/#recordDetails.
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Affiliation(s)
- Adèle Hotte-Meunier
- Douglas Mental Health University Institute, Montreal, Canada
- Department of Psychology, McGill University, Montreal, Canada
| | - Danielle Penney
- Douglas Mental Health University Institute, Montreal, Canada
- Department of Psychology, Université du Québec à Montréal, Montreal, Canada
| | - Daniel Mendelson
- Douglas Mental Health University Institute, Montreal, Canada
- Department of Psychology, McGill University, Montreal, Canada
| | - Élisabeth Thibaudeau
- Douglas Mental Health University Institute, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
| | - Steffen Moritz
- Department of Psychiatry and Psychotherapy, University Medical Centre Hamburg, Hamburg, Germany
| | - Martin Lepage
- Douglas Mental Health University Institute, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
| | - Geneviève Sauvé
- Douglas Mental Health University Institute, Montreal, Canada
- Department of Education and Pedagogy, Université du Québec à Montréal, Montreal, Canada
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4
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Zaher F, Diallo M, Achim AM, Joober R, Roy MA, Demers MF, Subramanian P, Lavigne KM, Lepage M, Gonzalez D, Zeljkovic I, Davis K, Mackinley M, Sabesan P, Lal S, Voppel A, Palaniyappan L. Speech markers to predict and prevent recurrent episodes of psychosis: A narrative overview and emerging opportunities. Schizophr Res 2024; 266:205-215. [PMID: 38428118 DOI: 10.1016/j.schres.2024.02.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 02/18/2024] [Accepted: 02/25/2024] [Indexed: 03/03/2024]
Abstract
Preventing relapse in schizophrenia improves long-term health outcomes. Repeated episodes of psychotic symptoms shape the trajectory of this illness and can be a detriment to functional recovery. Despite early intervention programs, high relapse rates persist, calling for alternative approaches in relapse prevention. Predicting imminent relapse at an individual level is critical for effective intervention. While clinical profiles are often used to foresee relapse, they lack the specificity and sensitivity needed for timely prediction. Here, we review the use of speech through Natural Language Processing (NLP) to predict a recurrent psychotic episode. Recent advancements in NLP of speech have shown the ability to detect linguistic markers related to thought disorder and other language disruptions within 2-4 weeks preceding a relapse. This approach has shown to be able to capture individual speech patterns, showing promise in its use as a prediction tool. We outline current developments in remote monitoring for psychotic relapses, discuss the challenges and limitations and present the speech-NLP based approach as an alternative to detect relapses with sufficient accuracy, construct validity and lead time to generate clinical actions towards prevention.
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Affiliation(s)
- Farida Zaher
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Mariama Diallo
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Amélie M Achim
- Département de Psychiatrie et Neurosciences, Université Laval, Québec City, QC, Canada; Vitam - Centre de Recherche en Santé Durable, Québec City, QC, Canada; Centre de Recherche CERVO, Québec City, QC, Canada
| | - Ridha Joober
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Marc-André Roy
- Département de Psychiatrie et Neurosciences, Université Laval, Québec City, QC, Canada; Centre de Recherche CERVO, Québec City, QC, Canada
| | - Marie-France Demers
- Centre de Recherche CERVO, Québec City, QC, Canada; Faculté de Pharmacie, Université Laval, Québec City, QC, Canada
| | - Priya Subramanian
- Department of Psychiatry, Schulich School of Medicine, Western University, London, ON, Canada
| | - Katie M Lavigne
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Daniela Gonzalez
- Prevention and Early Intervention Program for Psychosis, London Health Sciences Center, Lawson Health Research Institute, London, ON, Canada
| | - Irnes Zeljkovic
- Department of Psychiatry, Schulich School of Medicine, Western University, London, ON, Canada
| | - Kristin Davis
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Michael Mackinley
- Department of Psychiatry, Schulich School of Medicine, Western University, London, ON, Canada; Prevention and Early Intervention Program for Psychosis, London Health Sciences Center, Lawson Health Research Institute, London, ON, Canada
| | - Priyadharshini Sabesan
- Lakeshore General Hospital and Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Shalini Lal
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada; School of Rehabilitation, Faculty of Medicine, University of Montréal, Montréal, QC, Canada
| | - Alban Voppel
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Lena Palaniyappan
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada; Department of Psychiatry, Schulich School of Medicine, Western University, London, ON, Canada; Robarts Research Institute, Western University, London, ON, Canada.
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5
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Thibaudeau E, Peyroux E, Franck N, Carling H, Lepage M. Navigating Social Cognitive Impairments in Schizophrenia Spectrum Disorders: Protocol for a Pilot Pre-Post Quasi-Experimental Study for Remote Avatar-Assisted Cognitive Remediation Therapy. JMIR Res Protoc 2024; 13:e54251. [PMID: 38477975 DOI: 10.2196/54251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/06/2024] [Accepted: 01/09/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Social cognitive impairments are prevalent in schizophrenia spectrum disorder (SSD) and have detrimental effects on functioning. Cognitive remediation (CR) has shown its efficacy in improving social cognitive impairments, although the transfer of these skills to daily life and the personalization of these interventions remain challenging. RC2S (Remédiation Cognitive de la Cognition Sociale dans la Schizophrénie; Cognitive remediation of social cognition in Schizophrenia) is a French CR that combines the learning of strategies and practice using paper-and-pencil exercises and digital relational simulations. This French program was designed as an in-person intervention. OBJECTIVE This project aims to culturally adapt the RC2S program, in French-Canadian and North American English and to assess the feasibility, acceptability, safety, and implementation of a remote version in people with SSD. An exploratory objective is to assess the preliminary effect of remote RC2S on goal attainment, social cognition, and psychosocial outcomes. METHODS We will use a pre-post quasi-experimental design. First, the translation and cultural adaptation in North American English and French-Canadian of RC2S is presented. Then, 20 participants aged ≥18 years with a diagnosis of SSD, presenting with a subjective or an objective impairment in social cognition, will be included to receive RC2S. In addition, 5 therapists will be included as research participants to assess their perspective on RC2S. Participants with SSD will undergo a baseline remote assessment of their social cognition, clinical symptoms, and functioning. They will then start remote RC2S for 24 biweekly individual 1-hour sessions with a therapist. Following the case formulation and goal setting, participants will complete personalized paper-and-pencil exercises to develop strategies and integrative digital relational simulations, during which they will help an avatar navigate through a variety of social contexts and relationships. The last 2 sessions are dedicated to the transfer to daily life. All participants will complete in-session questionnaires assessing therapeutic alliance, motivation, acceptability, feasibility, and implementation. Following RC2S, the participants with SSD will repeat the same assessment as the baseline. Descriptive statistics will be used to summarize the data about acceptability, feasibility, safety, and implementation. To assess the preliminary effect of RC2S, an intention-to-treat approach will be used with linear mixed models for repeated measures with fixed effects of time. RESULTS So far, 45% (9/20) of participants with SSD (mean age 37.9, SD 9.3 years) have completed the project. They received a mean of 20.5 out of 24 (SD 3.5) sessions of RC2S. A total of 5 therapists also completed the project. CONCLUSIONS Improving social cognitive impairments is an important target in SSD to promote functional recovery. Using digital technologies to address these impairments and deliver the intervention is a promising approach to increase the ecological validity of CR and access to the intervention. TRIAL REGISTRATION ClinicalTrials.gov NCT05017532; https://classic.clinicaltrials.gov/ct2/show/NCT05017532. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/54251.
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Affiliation(s)
- Elisabeth Thibaudeau
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Center, Montreal, QC, Canada
| | | | - Nicolas Franck
- Centre Hospitalier Le Vinatier, Lyon, France
- Université Claude-Bernard-Lyon-I, Lyon, France
| | - Hannah Carling
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Center, Montreal, QC, Canada
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Center, Montreal, QC, Canada
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6
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Wannan CMJ, Nelson B, Addington J, Allott K, Anticevic A, Arango C, Baker JT, Bearden CE, Billah T, Bouix S, Broome MR, Buccilli K, Cadenhead KS, Calkins ME, Cannon TD, Cecci G, Chen EYH, Cho KIK, Choi J, Clark SR, Coleman MJ, Conus P, Corcoran CM, Cornblatt BA, Diaz-Caneja CM, Dwyer D, Ebdrup BH, Ellman LM, Fusar-Poli P, Galindo L, Gaspar PA, Gerber C, Glenthøj LB, Glynn R, Harms MP, Horton LE, Kahn RS, Kambeitz J, Kambeitz-Ilankovic L, Kane JM, Kapur T, Keshavan MS, Kim SW, Koutsouleris N, Kubicki M, Kwon JS, Langbein K, Lewandowski KE, Light GA, Mamah D, Marcy PJ, Mathalon DH, McGorry PD, Mittal VA, Nordentoft M, Nunez A, Pasternak O, Pearlson GD, Perez J, Perkins DO, Powers AR, Roalf DR, Sabb FW, Schiffman J, Shah JL, Smesny S, Spark J, Stone WS, Strauss GP, Tamayo Z, Torous J, Upthegrove R, Vangel M, Verma S, Wang J, Rossum IWV, Wolf DH, Wolff P, Wood SJ, Yung AR, Agurto C, Alvarez-Jimenez M, Amminger P, Armando M, Asgari-Targhi A, Cahill J, Carrión RE, Castro E, Cetin-Karayumak S, Mallar Chakravarty M, Cho YT, Cotter D, D'Alfonso S, Ennis M, Fadnavis S, Fonteneau C, Gao C, Gupta T, Gur RE, Gur RC, Hamilton HK, Hoftman GD, Jacobs GR, Jarcho J, Ji JL, Kohler CG, Lalousis PA, Lavoie S, Lepage M, Liebenthal E, Mervis J, Murty V, Nicholas SC, Ning L, Penzel N, Poldrack R, Polosecki P, Pratt DN, Rabin R, Rahimi Eichi H, Rathi Y, Reichenberg A, Reinen J, Rogers J, Ruiz-Yu B, Scott I, Seitz-Holland J, Srihari VH, Srivastava A, Thompson A, Turetsky BI, Walsh BC, Whitford T, Wigman JTW, Yao B, Yuen HP, Ahmed U, Byun AJS, Chung Y, Do K, Hendricks L, Huynh K, Jeffries C, Lane E, Langholm C, Lin E, Mantua V, Santorelli G, Ruparel K, Zoupou E, Adasme T, Addamo L, Adery L, Ali M, Auther A, Aversa S, Baek SH, Bates K, Bathery A, Bayer JMM, Beedham R, Bilgrami Z, Birch S, Bonoldi I, Borders O, Borgatti R, Brown L, Bruna A, Carrington H, Castillo-Passi RI, Chen J, Cheng N, Ching AE, Clifford C, Colton BL, Contreras P, Corral S, Damiani S, Done M, Estradé A, Etuka BA, Formica M, Furlan R, Geljic M, Germano C, Getachew R, Goncalves M, Haidar A, Hartmann J, Jo A, John O, Kerins S, Kerr M, Kesselring I, Kim H, Kim N, Kinney K, Krcmar M, Kotler E, Lafanechere M, Lee C, Llerena J, Markiewicz C, Matnejl P, Maturana A, Mavambu A, Mayol-Troncoso R, McDonnell A, McGowan A, McLaughlin D, McIlhenny R, McQueen B, Mebrahtu Y, Mensi M, Hui CLM, Suen YN, Wong SMY, Morrell N, Omar M, Partridge A, Phassouliotis C, Pichiecchio A, Politi P, Porter C, Provenzani U, Prunier N, Raj J, Ray S, Rayner V, Reyes M, Reynolds K, Rush S, Salinas C, Shetty J, Snowball C, Tod S, Turra-Fariña G, Valle D, Veale S, Whitson S, Wickham A, Youn S, Zamorano F, Zavaglia E, Zinberg J, Woods SW, Shenton ME. Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis. Schizophr Bull 2024:sbae011. [PMID: 38451304 DOI: 10.1093/schbul/sbae011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.
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Affiliation(s)
- Cassandra M J Wannan
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Barnaby Nelson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Kelly Allott
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Instituto de Salud Carlos III, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Justin T Baker
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Carrie E Bearden
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Tashrif Billah
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sylvain Bouix
- Department of Software Engineering and Information Technology, École de technologie supérieure, Montréal, Canada
| | - Matthew R Broome
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
- Early Intervention for Psychosis Services, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Kate Buccilli
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
| | | | - Eric Yu Hai Chen
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Kang Ik K Cho
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jimmy Choi
- Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford, CT, USA
| | - Scott R Clark
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Basil Hetzel Institute, Woodville, SA, Australia
| | - Michael J Coleman
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Philippe Conus
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Cheryl M Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barbara A Cornblatt
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Covadonga M Diaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Instituto de Salud Carlos III, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Dominic Dwyer
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Bjørn H Ebdrup
- Centre for Neuropsychiatric Schizophrenia Research, CNSR Mental Health Centre, Glostrup, Copenhagen, Denmark
| | - Lauren M Ellman
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Liliana Galindo
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Pablo A Gaspar
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Carla Gerber
- Behavioral Health Services, PeaceHealth Medical Group, Eugene, OR, USA
| | - Louise Birkedal Glenthøj
- Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Robert Glynn
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health and Harvard Medical School, Boston, MA, USA
| | - Michael P Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Leslie E Horton
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph Kambeitz
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Tina Kapur
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
- Mindlink, Gwangju Bukgu Mental Health Center, Gwangju, Korea
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich, Munich, Germany
| | - Marek Kubicki
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea
| | - Kerstin Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Kathryn E Lewandowski
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Gregory A Light
- Department of Psychiatry, University of California, San Diego, CA, USA
- Veterans Affairs San Diego Health Care System, San Diego, CA, USA
| | - Daniel Mamah
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | | | - Daniel H Mathalon
- Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Mental Health Service 116D, Veterans Affairs San Francisco Health Care System, San Francisco, CA, USA
| | - Patrick D McGorry
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Angela Nunez
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Ofer Pasternak
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Godfrey D Pearlson
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford, CT, USA
| | - Jesus Perez
- CAMEO, Early Intervention in Psychosis Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Department of Medicine, Institute of Biomedical Research (IBSAL), Universidad de Salamanca, Salamanca, Spain
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Albert R Powers
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - David R Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Fred W Sabb
- Prevention Science Institute, University of Oregon, Eugene, OR, USA
| | - Jason Schiffman
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - Jai L Shah
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Jessica Spark
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | | | - Zailyn Tamayo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - John Torous
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Rachel Upthegrove
- Department of Software Engineering and Information Technology, École de technologie supérieure, Montréal, Canada
- Birmingham Womens and Childrens, NHS Foundation Trust, Birmingham, UK
| | - Mark Vangel
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Swapna Verma
- Department of Psychosis, Institute of Mental Health, Singapore
| | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Inge Winter-van Rossum
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Phillip Wolff
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Stephen J Wood
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
- School of Psychology, University of Birmingham, Edgbaston, UK
| | - Alison R Yung
- Institute of Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC, Australia
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Carla Agurto
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Mario Alvarez-Jimenez
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Paul Amminger
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Marco Armando
- Youth Early Detection/Intervention in Psychosis Platform (Plateforme ERA), Service of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital and The University of Lausanne, Lausanne, Switzerland
| | | | - John Cahill
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Ricardo E Carrión
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Eduardo Castro
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Suheyla Cetin-Karayumak
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - Youngsun T Cho
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - David Cotter
- Department Psychiatry, Beaumont Hospital, Dublin 9, Ireland
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin 2, Ireland
| | - Simon D'Alfonso
- School of Computing and Information Systems, The University of Melbourne, Parkville, VIC, Australia
| | - Michaela Ennis
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Shreyas Fadnavis
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Clara Fonteneau
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Caroline Gao
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Tina Gupta
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Holly K Hamilton
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Gil D Hoftman
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Grace R Jacobs
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Johanna Jarcho
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Christian G Kohler
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Paris Alexandros Lalousis
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Suzie Lavoie
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Einat Liebenthal
- Program for Specialized Treatment Early in Psychosis (STEP), CMHC, New Haven, CT, USA
| | - Josh Mervis
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Vishnu Murty
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Spero C Nicholas
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Lipeng Ning
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Nora Penzel
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Russell Poldrack
- Department of Psychology, Stanford University, Stanford, CA, USA
| | | | - Danielle N Pratt
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Rachel Rabin
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
| | | | - Yogesh Rathi
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Avraham Reichenberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jenna Reinen
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Jack Rogers
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Bernalyn Ruiz-Yu
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Isabelle Scott
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Vinod H Srihari
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Program for Specialized Treatment Early in Psychosis (STEP), CMHC, New Haven, CT, USA
| | - Agrima Srivastava
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew Thompson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Bruce I Turetsky
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Barbara C Walsh
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Thomas Whitford
- Orygen, Parkville, VIC, Australia
- School of Psychology, University of New South Wales (UNSW), Kensington, NSW, Australia
| | - Johanna T W Wigman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center,Groningen, Netherlands
| | - Beier Yao
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Hok Pan Yuen
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Andrew Jin Soo Byun
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Yoonho Chung
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Kim Do
- Department of Psychiatry, Center for Psychiatric Neuroscience, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience King's College London, London, UK
| | - Larry Hendricks
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Kevin Huynh
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Clark Jeffries
- Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA
| | - Erlend Lane
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Carsten Langholm
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Eric Lin
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
- Medical Informatics Fellowship, Veteran Affairs Boston Healthcare System, Boston, MA, USA
- Food and Drug Administration, Silver Spring, MD, USA
| | - Valentina Mantua
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Gennarina Santorelli
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Kosha Ruparel
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Eirini Zoupou
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Tatiana Adasme
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Lauren Addamo
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Laura Adery
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Munaza Ali
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Andrea Auther
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Samantha Aversa
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
| | - Seon-Hwa Baek
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
- Mindlink, Gwangju Bukgu Mental Health Center, Gwangju, Korea
| | - Kelly Bates
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Alyssa Bathery
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Johanna M M Bayer
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Rebecca Beedham
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Zarina Bilgrami
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Sonia Birch
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Ilaria Bonoldi
- Department of Psychosis Studies, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Owen Borders
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Renato Borgatti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- IRCCS Mondino Foundation, Pavia, Italy
| | - Lisa Brown
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Alejandro Bruna
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Holly Carrington
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rolando I Castillo-Passi
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
- Department of Neurology and Psychiatry, Clínica Alemana-Universidad del Desarrollo, Santiago, Chile
| | - Justine Chen
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Nicholas Cheng
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Ann Ee Ching
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Chloe Clifford
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
| | - Beau-Luke Colton
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Pamela Contreras
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Sebastián Corral
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Stefano Damiani
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Monica Done
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Andrés Estradé
- Early Psychosis Detection and Clinical Intervention (EPIC) Lab, Department of Psychosis Studies, King's College London, London, UK
| | - Brandon Asika Etuka
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Melanie Formica
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Rachel Furlan
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Mia Geljic
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Carmela Germano
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Ruth Getachew
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Anastasia Haidar
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jessica Hartmann
- Department of Public Mental Health, Central Institute of Mental Health, Heidelberg Univeristy, Mannheim, Germany
| | - Anna Jo
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Omar John
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Kerins
- Early Psychosis Detection and Clinical Intervention (EPIC) Lab, Department of Psychosis Studies, King's College London, London, UK
| | - Melissa Kerr
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Irena Kesselring
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Honey Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Nicholas Kim
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kyle Kinney
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Marija Krcmar
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Elana Kotler
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Melanie Lafanechere
- School of Psychology, University of Birmingham, Edgbaston, UK
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Clarice Lee
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Joshua Llerena
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | | | | | - Aissata Mavambu
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
| | | | - Amelia McDonnell
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Alessia McGowan
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Rebecca McIlhenny
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Brittany McQueen
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Yohannes Mebrahtu
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Martina Mensi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- IRCCS Mondino Foundation, Pavia, Italy
| | | | - Yi Nam Suen
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | | | - Neal Morrell
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Mariam Omar
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Alice Partridge
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Christina Phassouliotis
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Anna Pichiecchio
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy
| | - Pierluigi Politi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Christian Porter
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Umberto Provenzani
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Nicholas Prunier
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jasmine Raj
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Susan Ray
- Northwell Health, Glen Oaks, NY, USA
| | - Victoria Rayner
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Manuel Reyes
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
- Department of Neurology and Psychiatry, Clínica Alemana-Universidad del Desarrollo, Santiago, Chile
| | - Kate Reynolds
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Sage Rush
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Cesar Salinas
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Jashmina Shetty
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Callum Snowball
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Sophie Tod
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Daniela Valle
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Simone Veale
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Whitson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Alana Wickham
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Youn
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Francisco Zamorano
- Unidad de imágenes cuantitativas avanzadas, departamento de imágenes, clínica alemana, universidad del Desarrollo, Santiago, Chile
- Facultad de ciencias para el cuidado de la salud, Universidad San Sebastián, Campus Los Leones, Santiago, Chile
| | - Elissa Zavaglia
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
| | - Jamie Zinberg
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Martha E Shenton
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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7
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Gifuni AJ, Pereira F, Chakravarty MM, Lepage M, Chase HW, Geoffroy MC, Lacourse E, Phillips ML, Turecki G, Renaud J, Jollant F. Perception of social inclusion/exclusion and response inhibition in adolescents with past suicide attempt: a multidomain task-based fMRI study. Mol Psychiatry 2024:10.1038/s41380-024-02485-w. [PMID: 38424142 DOI: 10.1038/s41380-024-02485-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 02/07/2024] [Accepted: 02/12/2024] [Indexed: 03/02/2024]
Abstract
The occurrence of suicidal behaviors increases during adolescence. Hypersensitivity to negative social signals and deficits in cognitive control are putative mechanisms of suicidal behaviors, which necessitate confirmation in youths. Multidomain functional neuroimaging could enhance the identification of patients at suicidal risk beyond standard clinical measures. Three groups of adolescents (N = 96; 78% females, age = 11.6-18.1) were included: patients with depressive disorders and previous suicide attempts (SA, n = 29); patient controls with depressive disorders but without any suicide attempt history (PC, n = 35); and healthy controls (HC, n = 32). We scanned participants with 3T-MRI during social inclusion/exclusion (Cyberball Game) and response inhibition (Go-NoGo) tasks. Neural activation was indexed by the blood-oxygenation-level dependent (BOLD) of the hemodynamic response during three conditions in the Cyberball Game ("Control condition", "Social Inclusion", and "Social Exclusion"), and two conditions in Go-NoGo task ("Go" and "NoGo" blocks). ANCOVA-style analysis identified group effects across three whole-brain contrasts: 1) NoGo vs. Go, 2) Social inclusion vs. control condition, 3) Social exclusion vs. control condition. We found that SA had lower activation in the left insula during social inclusion vs. control condition compared to PC and HC. Moreover, SA compared to PC had higher activity in the right middle prefrontal gyrus during social exclusion vs. control condition, and in bilateral precentral gyri during NoGo vs. Go conditions. Task-related behavioral and self-report measures (Self-reported emotional reactivity in the Cyberball Game, response times and number of errors in the Go-NoGo Task) did not discriminate groups. In conclusion, adolescent suicidal behaviors are likely associated with neural alterations related to the processing of social perception and response inhibition. Further research, involving prospective designs and diverse cohorts of patients, is necessary to explore the potential of neuroimaging as a tool in understanding the emergence and progression of suicidal behaviors.
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Affiliation(s)
- Anthony J Gifuni
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychiatry, McGill University, Montréal, Canada
- Manulife Centre for Breakthroughs in Teen Depression and Suicide Prevention, Montréal, Canada
| | - Fabricio Pereira
- MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre, France
- Service de psychiatrie, CHU Nîmes, Nîmes, France
- MIPA, University of Nîmes, Nîmes, France
| | | | - Martin Lepage
- Department of Psychiatry, McGill University, Montréal, Canada
| | - Henri W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Marie-Claude Geoffroy
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychiatry, McGill University, Montréal, Canada
- Department of Educational and Counselling Psychology, McGill University, Montréal, Canada
| | - Eric Lacourse
- Department of Sociology, Université de Montréal, Montréal, Canada
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Gustavo Turecki
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychiatry, McGill University, Montréal, Canada
| | - Johanne Renaud
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychiatry, McGill University, Montréal, Canada
- Manulife Centre for Breakthroughs in Teen Depression and Suicide Prevention, Montréal, Canada
| | - Fabrice Jollant
- McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montréal, Canada.
- Department of Psychiatry, McGill University, Montréal, Canada.
- MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre, France.
- Service de psychiatrie, CHU Nîmes, Nîmes, France.
- Université Paris-Saclay, Faculté de médecine, Le Kremlin-Bicêtre, France.
- Service de psychiatrie, Hôpital Bicêtre, APHP, Le Kremlin-Bicêtre, France.
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8
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Lavigne KM, Deng J, Raucher-Chéné D, Hotte-Meunier A, Voyer C, Sarraf L, Lepage M, Sauvé G. Transdiagnostic cognitive biases in psychiatric disorders: A systematic review and network meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2024; 129:110894. [PMID: 37956787 DOI: 10.1016/j.pnpbp.2023.110894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 10/13/2023] [Accepted: 11/06/2023] [Indexed: 11/15/2023]
Abstract
Psychiatric disorders are characterized by cognitive deficits, which have been proposed as a transdiagnostic feature of psychopathology ("C" factor). Similarly, cognitive biases (e.g., in attention, memory, and interpretation) represent common tendencies in information processing that are often associated with psychiatric symptoms. However, the question remains whether cognitive biases are also transdiagnostic or are specific to certain psychiatric disorders/symptoms. The current systematic review sought to address whether the proposed "C" factor of transdiagnostic cognitive dysfunction in psychopathology can be extended to cognitive biases. Overall, 31 studies comprising 4401 participants (2536 patients, 1865 non-clinical controls) met inclusion criteria, assessing 19 cognitive biases across 20 diagnostic categories, with most studies focusing on interpretation (k = 22) and attention (k = 11) biases and only 2 assessing memory biases. Traditional meta-analyses found a moderate effect size (g = 0.32) for more severe cognitive biases in all patients relative to non-clinical controls, as well as small but significant associations between interpretation biases and transdiagnostic symptom categories (general psychopathology: r = 0.20, emotion dysfunction: r = 0.17, psychotic symptoms: r = 0.25). Network meta-analyses revealed significant patient versus non-clinical control differences on attention and interpretation biases across diagnoses, as well as significant differences between diagnoses, with highest severity in panic disorder for attention biases and obsessive-compulsive disorder for interpretation biases. The current findings extend the big "C" interpretation of transdiagnostic cognitive dysfunction in psychiatric disorders to cognitive biases and transdiagnostic symptom dimensions. Results also suggest that while the presence of cognitive biases is transdiagnostic, bias severity differs across diagnoses, as in traditional neurocognitive deficits.
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Affiliation(s)
- Katie M Lavigne
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada.
| | | | - Delphine Raucher-Chéné
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada
| | | | - Chloe Voyer
- Douglas Research Centre, Montreal, QC, Canada
| | - Lisa Sarraf
- Douglas Research Centre, Montreal, QC, Canada; Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada
| | - Geneviève Sauvé
- Douglas Research Centre, Montreal, QC, Canada; Département d'éducation et pédagogie, Université de Québec à Montréal, Montréal, QC, Canada
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9
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McIlwaine SV, Mughal S, Ferrari M, Rosengard R, Malla A, Iyer S, Lepage M, Joober R, Shah JL. Pre-onset subthreshold psychotic symptoms are associated with differential treatment delays before a first episode of psychosis: Initial evidence and implications. Schizophr Res 2024; 264:549-556. [PMID: 38335764 DOI: 10.1016/j.schres.2024.01.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/08/2023] [Accepted: 01/30/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Help-seeking and treatment delays are increasingly critical areas of study in mental health services. The duration of untreated psychosis (DUP), or the time between illness onset and initiation of treatment, is a predictor of symptom remission and functioning for a first episode of psychosis (FEP). The World Health Organization recommends that specialized treatment for psychosis be initiated within the first three months of FEP onset. As a result, research has focused on factors that are associated with threshold-level DUP, while the experience of subthreshold psychotic symptoms (STPS) prior to a FEP may also complicate and present barriers to accessing care for young people. We therefore examine the possibility that STPS can impact DUP and its components. METHOD Using a follow-back cross-sectional design, we sought to describe duration of untreated illness, length of prodrome, DUP, help-seeking delay, referral delay, and number of help-seeking contacts among FEP patients who did and did not have STPS prior to psychosis onset. RESULTS We found that patients who experienced STPS had a longer median duration of untreated illness, prodrome length, DUP, and help-seeking delay compared to patients who did not have such symptoms. Referral delay did not differ substantially between the two groups. Importantly, treatment delays were extremely lengthy for many participants. CONCLUSIONS Pre-onset STPS are associated with help-seeking delays along the pathway to care even during a FEP. Examining early signs and symptoms may help to improve and tailor interventions aimed at reducing treatment delays and ultimately providing timely care when the need arises.
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Affiliation(s)
- S V McIlwaine
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Canada; Prevention and Early Intervention for Psychosis Programme (PEPP-Montreal), Douglas Mental Health University Institute, Canada.
| | - S Mughal
- Prevention and Early Intervention for Psychosis Programme (PEPP-Montreal), Douglas Mental Health University Institute, Canada; Department of Psychiatry, McGill University, Canada
| | - M Ferrari
- Prevention and Early Intervention for Psychosis Programme (PEPP-Montreal), Douglas Mental Health University Institute, Canada; Department of Psychiatry, McGill University, Canada
| | - R Rosengard
- Prevention and Early Intervention for Psychosis Programme (PEPP-Montreal), Douglas Mental Health University Institute, Canada; Department of Psychiatry, McGill University, Canada
| | - A Malla
- Prevention and Early Intervention for Psychosis Programme (PEPP-Montreal), Douglas Mental Health University Institute, Canada; Department of Psychiatry, McGill University, Canada
| | - S Iyer
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Canada; Prevention and Early Intervention for Psychosis Programme (PEPP-Montreal), Douglas Mental Health University Institute, Canada; Department of Psychiatry, McGill University, Canada
| | - M Lepage
- Prevention and Early Intervention for Psychosis Programme (PEPP-Montreal), Douglas Mental Health University Institute, Canada; Department of Psychiatry, McGill University, Canada; Department of Psychology, McGill University, Canada
| | - R Joober
- Prevention and Early Intervention for Psychosis Programme (PEPP-Montreal), Douglas Mental Health University Institute, Canada; Department of Psychiatry, McGill University, Canada
| | - J L Shah
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Canada; Prevention and Early Intervention for Psychosis Programme (PEPP-Montreal), Douglas Mental Health University Institute, Canada; Department of Psychiatry, McGill University, Canada
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10
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Au-Yeung C, Penney D, Rae J, Carling H, Lassman L, Lepage M. The relationship between negative symptoms and MATRICS neurocognitive domains: A meta-analysis and systematic review. Prog Neuropsychopharmacol Biol Psychiatry 2023; 127:110833. [PMID: 37482283 DOI: 10.1016/j.pnpbp.2023.110833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/11/2023] [Accepted: 07/16/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND Negative symptoms (NS) are a core symptom domain in schizophrenia spectrum disorders and are associated with poorer social and vocational functioning, and with increased likelihood and durations of hospital admission. NS are not well understood, limiting available interventions. However, numerous studies have reported associations between neurocognitive domains and NS severity. Thus, one promising area in understanding NS is in relation to neurocognition. Currently, the specificity of the relationship between NS and neurocognition is unknown, meaning that there is no consensus regarding which neurocognitive domain is most strongly associated with NS. There is a need to systematically examine the relationship between NS and various neurocognitive domains within study samples. METHODS A systematic search of Ovid PsycINFO, Ovid MEDLINE and Web of Science was performed for articles published since 2004 (year of MATRICS Consensus publication). Inclusion criteria were: 1) individuals with schizophrenia spectrum disorders, first episode psychosis or clinical high risk 2) assessed all six MATRICS neurocognitive domains (processing speed, attention, working memory, verbal learning & memory, visual learning & memory, reasoning & problem solving), 3) reported correlations between all six MATRICS neurocognitive domains and global NS. A three-level random effects hierarchical meta-analysis was performed to assess the relationship between NS (global, expressive, and experiential dimensions) and the six MATRICS neurocognitive domains. RESULTS 21 studies were included in the review (n = 3619). All MATRICS neurocognitive domains had small significant correlations with global NS (r = -0.16 to -0.20, p < 0.0001). This relationship was significantly moderated by diagnosis and the moderating effect of sex/ gender trended on significance. Analysis of a subset of the studies revealed that MATRICS neurocognitive domains also had small significant correlations with the two NS dimensions, expressive and experiential. Correlations were stronger with the expressive NS dimension. CONCLUSIONS This review is novel in assessing the relationship between multiple neurocognitive domains and NS within the same sample, by synthesizing close to two decades of research. Our results suggest that there is a non-specific relationship between neurocognition and NS, and that expressive NS may have a stronger relationship with neurocognitive functioning-based on the MATRICS classification of neurocognition and the neurocognitive assessments used in the included studies. This has implications on our understanding of NS and neurocognition, as well as their treatments. As we gain better understanding of the directionality of the NS-cognition relationship, it could suggest that NS, particularly in the expressive domain, could be improved by targeting cognition globally or that neurocognitive treatments could be more effective if NS are addressed first. Further implications of these results are discussed.
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Affiliation(s)
- Christy Au-Yeung
- Department of Psychology, McGill University, Montreal, Quebec, Canada; Douglas Research Centre, Montréal, Québec, Canada
| | - Danielle Penney
- Douglas Research Centre, Montréal, Québec, Canada; Department of Psychology, Université du Québec à Montréal, Montréal, Québec, Canada
| | - Jesse Rae
- Douglas Research Centre, Montréal, Québec, Canada
| | - Hannah Carling
- Department of Psychology, McGill University, Montreal, Quebec, Canada; Douglas Research Centre, Montréal, Québec, Canada
| | - Libby Lassman
- Douglas Research Centre, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Martin Lepage
- Douglas Research Centre, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
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11
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Belkacem A, Lavigne KM, Makowski C, Chakravarty M, Joober R, Malla A, Shah J, Lepage M. Effects of Anticholinergic Burden on Verbal Memory Performance in First-Episode Psychosis. Can J Psychiatry 2023; 68:894-903. [PMID: 37254533 PMCID: PMC10657580 DOI: 10.1177/07067437231179161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
OBJECTIVES Antipsychotics are widely used to treat first-episode psychosis but may have an anticholinergic burden, that is, a cumulative effect of medications that block the cholinergic system. Studies suggest that a high anticholinergic burden negatively affects memory in psychosis, where cognitive deficits, particularly those in verbal memory, are a core feature of the disease. The present study sought to replicate this in a large cohort of well-characterized first-episode psychosis patients. We expected that patients in the highest anticholinergic burden group would exhibit the poorest verbal memory compared to those with low anticholinergic burden and healthy controls at baseline (3 months following admission). We further hypothesized that over time, at month 12, patients' verbal memory performance would improve but would remain inferior to controls. METHODS Patients (n = 311; low anticholinergic burden [n = 241] and high anticholinergic burden [n = 70], defined by a Drug Burden Index cut-off of 1) and healthy controls (n = 128) completed a clinical and neurocognitive battery including parts of the Wechsler Memory Scale at months 3 and 12. RESULTS Cross-sectionally, using an analysis of variance, patients in the highest anticholinergic burden group had the poorest performance in verbal memory when compared to the other groups at month 3, F(2,430) = 52.33, P < 0.001. Longitudinally, using a Generalized Estimating Equation model, the verbal memory performance of all groups improved over time. However, patients' performance overall remained poorer than the controls. CONCLUSION These findings highlight the importance of considering the anticholinergic burden when prescribing medications in the early stages of the disease.
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Affiliation(s)
- Agnès Belkacem
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Katie M. Lavigne
- Douglas Research Centre, McGill University, Montreal, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada
| | - Carolina Makowski
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | | | - Ridha Joober
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Ashok Malla
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Jai Shah
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Martin Lepage
- Douglas Research Centre, McGill University, Montreal, Canada
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12
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Paquin V, Malla AK, Iyer SN, Lepage M, Joober R, Shah JL. Combinations and Temporal Associations Among Precursor Symptoms Before a First Episode of Psychosis. Schizophr Bull 2023:sbad152. [PMID: 37861419 DOI: 10.1093/schbul/sbad152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
BACKGROUND AND HYPOTHESIS Symptoms that precede a first episode of psychosis (FEP) can ideally be targeted by early intervention services with the aim of preventing or delaying psychosis onset. However, these precursor symptoms emerge in combinations and sequences that do not rest fully within traditional diagnostic categories. To advance our understanding of illness trajectories preceding FEP, we aimed to investigate combinations and temporal associations among precursor symptoms. STUDY DESIGN Participants were from PEPP-Montréal, a catchment-based early intervention program for FEP. Through semistructured interviews, collateral from relatives, and a review of health and social records, we retrospectively measured the presence or absence of 29 precursor symptoms, including 9 subthreshold psychotic and 20 nonpsychotic symptoms. Sequences of symptoms were derived from the timing of the first precursor symptom relative to the onset of FEP. STUDY RESULTS The sample included 390 participants (68% men; age range: 14-35 years). Combinations of precursor symptoms most frequently featured depression, anxiety, and substance use. Of 256 possible pairs of initial and subsequent precursor symptoms, many had asymmetrical associations: eg, when the first symptom was suspiciousness, the incidence rate ratio (IRR) of subsequent anxiety was 3.40 (95% confidence interval [CI]: 1.79, 6.46), but when the first symptom was anxiety, the IRR of subsequent suspiciousness was 1.15 (95% CI: 0.77, 1.73). CONCLUSIONS A detailed examination of precursor symptoms reveals diverse clinical profiles that cut across diagnostic categories and evolve longitudinally prior to FEP. Their identification may contribute to risk assessments and provide insights into the mechanisms of illness progression.
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Affiliation(s)
- Vincent Paquin
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Ashok K Malla
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Srividya N Iyer
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Martin Lepage
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - Ridha Joober
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Jai L Shah
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
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13
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Ghanem J, Orri M, Moro L, Lavigne KM, Raucher-Chéné D, Malla A, Joober R, Lepage M. Exploring the Relationship Between Suicidality and Persistent Negative Symptoms Following a First Episode of Psychosis. Schizophr Bull 2023:sbad146. [PMID: 37847817 DOI: 10.1093/schbul/sbad146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
BACKGROUND AND HYPOTHESIS Suicide is a leading cause of death in first-episode psychosis (FEP), with an elevated risk during the first year following illness onset. The association between negative symptoms and suicidality remains contentious. Some studies suggest that negative symptoms may be associated with lower suicidality, while others fail to find an association between the two. No previous studies have specifically investigated suicidality in Persistent Negative Symptoms (PNS) and its associated subgroups. STUDY DESIGN In a large cohort of FEP patients (n = 515) from an early intervention service, we investigated suicidality in those with PNS, secondary PNS (ie, sPNS; PNS with clinical-level positive, depressive, or extrapyramidal symptoms), and non-PNS (all other patients) over 24 months. Patients were categorized into PNS groups based on symptoms from month 6 to month 12, and suicidality was evaluated using the Brief Psychiatric Rating Scale (BPRS). STUDY RESULTS Covarying for age and sex, we found that sPNS had higher suicidality relative to PNS and non-PNS throughout the 24-month period, but PNS and non-PNS did not differ. These differences were maintained after adjusting for depressive symptoms. CONCLUSION We observed that PNS did not significantly differ from non-PNS. However, we identified sPNS as a group with elevated suicidality above and beyond depression, suggesting that sPNS would benefit from targeted intervention and that PNS categorization identifies a subgroup for whom negative symptoms are not associated with lower suicidality.
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Affiliation(s)
- Joseph Ghanem
- DouglasMental Health University Institute, McGill University, Montreal, Canada
- Department of Psychology, McGill University, Montreal, Canada
| | - Massimiliano Orri
- DouglasMental Health University Institute, McGill University, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
| | - Laura Moro
- DouglasMental Health University Institute, McGill University, Montreal, Canada
- Department of Psychology, Université de Montreal, Montreal, Canada
| | - Katie M Lavigne
- DouglasMental Health University Institute, McGill University, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Delphine Raucher-Chéné
- DouglasMental Health University Institute, McGill University, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
| | - Ashok Malla
- DouglasMental Health University Institute, McGill University, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montreal, Canada
| | - Ridha Joober
- DouglasMental Health University Institute, McGill University, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montreal, Canada
| | - Martin Lepage
- DouglasMental Health University Institute, McGill University, Montreal, Canada
- Department of Psychology, McGill University, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montreal, Canada
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14
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González LM, Bourissai A, Lessard-Beaudoin M, Lebel R, Tremblay L, Lepage M, Graham RK. Amelioration of Cognitive and Olfactory System Deficits in APOE4 Transgenic Mice with DHA Treatment. Mol Neurobiol 2023; 60:5624-5641. [PMID: 37329383 DOI: 10.1007/s12035-023-03401-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 05/24/2023] [Indexed: 06/19/2023]
Abstract
Olfactory dysfunction and atrophy of olfactory brain regions are observed early in mild cognitive impairment and Alzheimer disease. Despite substantial evidence showing neuroprotective effects in MCI/AD with treatment of docosahexaenoic acid (DHA), an omega-3 fatty acid, few studies have assessed DHA and its effects on the olfactory system deficits. We therefore performed structural (MRI), functional (olfactory behavior, novel object recognition), and molecular (markers of apoptosis and inflammation) assessments of APOE4 and wild-type mice ± DHA treatment at 3, 6, and 12 months of age. Our results demonstrate that APOE4 mice treated with the control diet show recognition memory deficits, abnormal olfactory habituation, and discrimination abilities and an increase in IBA-1 immunoreactivity in the olfactory bulb. These phenotypes were not present in APOE4 mice treated with a DHA diet. Alterations in some brain regions' weights and/or volumes were observed in the APOPE4 mice and may be due to caspase activation and/or neuroinflammatory events. These results suggest that the consumption of a diet rich in DHA may provide some benefit to E4 carriers but may not alleviate all symptoms.
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Affiliation(s)
- Laura Martínez González
- Research Centre on Aging CIUSSS de l'Estrie-CHUS, Sherbrooke, Quebec, Canada
- Department of Pharmacology and Physiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, 3001 12e Avenue Nord, QC, J1H 5N4, Sherbrooke, Canada
| | - Adam Bourissai
- Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke, Faculty of Medicine and Health Sciences, Sherbrooke, Quebec, J1H 5N4, Canada
| | - Mélissa Lessard-Beaudoin
- Research Centre on Aging CIUSSS de l'Estrie-CHUS, Sherbrooke, Quebec, Canada
- Department of Pharmacology and Physiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, 3001 12e Avenue Nord, QC, J1H 5N4, Sherbrooke, Canada
| | - Réjean Lebel
- Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke, Faculty of Medicine and Health Sciences, Sherbrooke, Quebec, J1H 5N4, Canada
| | - Luc Tremblay
- Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke, Faculty of Medicine and Health Sciences, Sherbrooke, Quebec, J1H 5N4, Canada
| | - Martin Lepage
- Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke, Faculty of Medicine and Health Sciences, Sherbrooke, Quebec, J1H 5N4, Canada
| | - Rona K Graham
- Research Centre on Aging CIUSSS de l'Estrie-CHUS, Sherbrooke, Quebec, Canada.
- Department of Pharmacology and Physiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, 3001 12e Avenue Nord, QC, J1H 5N4, Sherbrooke, Canada.
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15
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Au-Yeung C, Bowie CR, Montreuil T, Baer LH, Lecomte T, Joober R, Abdel-Baki A, Jarvis GE, Margolese HC, De Benedictis L, Schmitz N, Thai H, Malla AK, Lepage M. Predictors of treatment attrition of cognitive health interventions in first episode psychosis. Early Interv Psychiatry 2023; 17:984-991. [PMID: 36653167 DOI: 10.1111/eip.13391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/16/2022] [Accepted: 01/01/2023] [Indexed: 01/20/2023]
Abstract
AIM Dropping out of psychological interventions is estimated to occur in up to a third of individuals with psychosis. Given the high degree of attrition in this population, identifying predictors of attrition is important to develop strategies to retain individuals in treatment. We observed a particularly high degree of attrition (48%) in a recent randomized controlled study assessing cognitive health interventions for first-episode psychosis participants with comorbid social anxiety. Due to the importance of developing interventions for social anxiety in first episode psychosis, the aim of the present study was to identify putative predictors of attrition through a secondary analysis of data. METHODS Participants (n = 96) with first episode psychosis and comorbid social anxiety were randomized to receive cognitive behavioural therapy for social anxiety or cognitive remediation. Differences between completers and non-completers (<50% intervention completed) were compared using t-tests or chi-square analyses; statistically significant variables were entered into a multivariate logistic regression model. RESULTS Non-completers tended to be younger, had fewer years of education and had lower levels of social anxiety compared to completers. Lower baseline social anxiety and younger age were statistically significant predictors of non-completion in the logistic regression model. CONCLUSIONS Age and social anxiety were predictors of attrition in cognitive health interventions in first episode psychosis populations with comorbid social anxiety. In the ongoing development of social anxiety interventions for this population, future studies should investigate specific engagement strategies, intervention formats and outcome monitoring to improve participant retention in treatment.
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Affiliation(s)
- Christy Au-Yeung
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychology, McGill University, Montreal, Quebec, Canada
| | - Christopher R Bowie
- Department of Psychology, Department of Psychiatry, Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Tina Montreuil
- Departments of Educational & Counselling Psychology and Psychiatry, McGill University, Montreal, Quebec, Canada
- Research Institute of the McGill University Health Centre, Child Health and Human Development, Montreal, Quebec, Canada
| | - Larry H Baer
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Tania Lecomte
- Department of Psychology, McGill University, Montreal, Quebec, Canada
| | - Ridha Joober
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Amal Abdel-Baki
- Clinique JAP-Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l'Université de Montréal CRCHUM, Montréal, Québec, Canada
- Département de psychiatrie et d'addictologie, Université de Montréal, Montréal, Québec, Canada
| | - G Eric Jarvis
- First Episode Psychosis Program, Jewish General Hospital, and Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Howard C Margolese
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Prevention and Early Intervention Program for Psychoses, McGill University Health Centre, Montreal, Quebec, Canada
| | - Luigi De Benedictis
- Département de psychiatrie et d'addictologie, Université de Montréal, Montréal, Québec, Canada
- Connec-T Clinic (First Psychotic Episode and Early Intervention Program), Institut universitaire en santé mentale de Montréal, Department of Psychiatry and Addictology, University of Montreal, Montreal, Quebec, Canada
| | - Norbert Schmitz
- Department of Population-Based Medicine, Institute of Health Sciences, University Hospital Tuebingen, Tuebingen, Germany
| | - Helen Thai
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychology, McGill University, Montreal, Quebec, Canada
| | - Ashok K Malla
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Martin Lepage
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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16
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Yang CC, Totzek JF, Lepage M, Lavigne KM. Sex differences in cognition and structural covariance-based morphometric connectivity: evidence from 28,000+ UK Biobank participants. Cereb Cortex 2023; 33:10341-10354. [PMID: 37557917 DOI: 10.1093/cercor/bhad286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 07/06/2023] [Accepted: 07/08/2023] [Indexed: 08/11/2023] Open
Abstract
There is robust evidence for sex differences in domain-specific cognition, where females typically show an advantage for verbal memory, whereas males tend to perform better in spatial memory. Sex differences in brain connectivity are well documented and may provide insight into these differences. In this study, we examined sex differences in cognition and structural covariance, as an index of morphometric connectivity, of a large healthy sample (n = 28,821) from the UK Biobank. Using T1-weighted magnetic resonance imaging scans and regional cortical thickness values, we applied jackknife bias estimation and graph theory to obtain subject-specific measures of structural covariance, hypothesizing that sex-related differences in brain network global efficiency, or overall covariance, would underlie cognitive differences. As predicted, females demonstrated better verbal memory and males showed a spatial memory advantage. Females also demonstrated faster processing speed, with no observed sex difference in executive functioning. Males showed higher global efficiency, as well as higher regional covariance (nodal strengths) in both hemispheres relative to females. Furthermore, higher global efficiency in males mediated sex differences in verbal memory and processing speed. Findings contribute to an improved understanding of how biological sex and differences in cognition are related to morphometric connectivity as derived from graph-theoretic methods.
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Affiliation(s)
- Crystal C Yang
- Department of Psychology, McGill University, Montréal, QC H4H 1R3, Canada
| | - Jana F Totzek
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, 6211 LK, Netherlands
- Department of Psychiatry, McGill University, Montréal, QC H4H 1R3, Canada
- Douglas Research Centre, Montréal, QC, H4H 1R3, Canada
| | - Martin Lepage
- Department of Psychology, McGill University, Montréal, QC H4H 1R3, Canada
- Department of Psychiatry, McGill University, Montréal, QC H4H 1R3, Canada
- Douglas Research Centre, Montréal, QC, H4H 1R3, Canada
| | - Katie M Lavigne
- Department of Psychiatry, McGill University, Montréal, QC H4H 1R3, Canada
- Douglas Research Centre, Montréal, QC, H4H 1R3, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, QC H4H 1R3, Canada
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17
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Cloutier B, Diotte F, Murphy C, Roy MA, Abdel-Baki A, Lepage M, Lecomte T. Evaluating romantic and sexual functioning among persons with psychosis: Reliability and validity of two measures. Psychiatr Rehabil J 2023; 46:265-271. [PMID: 36326644 DOI: 10.1037/prj0000544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Despite increasing recognition of the difficulties faced by persons with psychosis with respect to intimacy and sexuality, there is a lack of valid and reliable instruments to measure these areas of functioning in this population. This study aimed to evaluate the psychometric properties (i.e., construct and convergent validity, internal consistency, test-retest reliability) of two measures, the Multidimensional Sexuality Questionnaire (MSQ) and the Romantic Relationship Functioning Scale (RRFS), in a sample of individuals with schizophrenia-spectrum disorders. METHOD Participants (N = 196) were administered a series of questionnaires online, with a subset of 40 respondents agreeing to complete the MSQ and the RRFS a second time at a 2-week follow-up. Confirmatory factor analyses were employed to examine the construct validity of both measures, while internal consistency estimates and correlation coefficients were computed to assess each instrument's reliability and convergent validity. RESULTS The original factor structures of the MSQ and the RRFS were found to be acceptable, with αs ranging from 0.68 to 0.94 and 0.74 to 0.86, respectively. Test-retest reliability and convergent validity with other measures (First-Episode Social Functioning Scale [FESFS]-Intimacy subscale, Self-Esteem Rating Scale-Short Form [SERS-SF], Brief Symptom Inventory [BSI]-Anxiety and Depression subscales) were also demonstrated. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE Future research should replicate these findings in larger samples and other languages, as well as evaluate additional aspects of the instruments' quality. Clinicians may benefit from using these tools to better understand the intimacy needs of service users with psychosis and offer corresponding services. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
| | - Felix Diotte
- Department of Psychology, Universite de Montreal
| | - Colleen Murphy
- Department of Clinical Health Psychology, University of Manitoba
| | - Marc-André Roy
- Department of Psychiatry and Neurosciences, Universite Laval
| | - Amal Abdel-Baki
- Department of Psychiatry and Addictology, Universite de Montreal, Centre Hospitalier de l'Universite de Montreal
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18
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Mendelson D, Mizrahi R, Lepage M, Lavigne KM. C-Reactive protein and cognition: Mediation analyses with brain morphology in the UK Biobank. Brain Behav Immun Health 2023; 31:100664. [PMID: 37484195 PMCID: PMC10362544 DOI: 10.1016/j.bbih.2023.100664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 05/26/2023] [Accepted: 06/28/2023] [Indexed: 07/25/2023] Open
Abstract
Cognitive impairments and abnormal immune activity are both associated with various clinical disorders. The association between C-Reactive protein (CRP), a marker associated with inflammation, and cognitive performance remains unclear. Further, mechanisms potentially linking CRP to cognition are not yet established. Brain structure may well mediate this relationship: immune processes play crucial roles in shaping and maintaining brain structure, with brain structure and function driving cognition. The United Kingdom Biobank (UKBB) is a large cohort study with extensive assessments, including high-sensitivity serum CRP levels, brain imaging, and various cognitive tasks. With data from 39,200 UKBB participants, we aimed first to determine the relationship between CRP and cognitive performance, and second, to assess metrics of brain morphology as potential mediators in this relationship. Participants were aged 40 to 70 at initial assessment and were mostly Caucasian. After accounting for potential covariates (e.g., age, sex, medical diagnoses, use of selective-serotonin reuptake inhibitors), we found CRP levels to have small, negative associations with fluid intelligence (b = -0.03, 95%CI[-0.05,-0.02], t(14381) = -3.62, pcor = .004), and numeric memory (b = -0.03, 95%CI[-0.05,-0.01], t(14366) = -3.31, pcor = .007). We found no evidence of brain morphology mediating these relationships (all |ab| < 0.001, all pcor > .55). Our findings from this large sample suggest that serum-assessed CRP is of marginal importance for cognitive performance in mid-to-late aged Caucasians; the small effect sizes of statistically significant associations provide context to previous inconsistent results. The seeming lack of involvement of brain morphology suggests that other brain metrics (e.g., connectivity, functional activation) may be more pertinent to this relationship. Future work should also consider CRP levels measured in the central nervous system and/or other cytokines that may better predict cognitive performance in this population.
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Affiliation(s)
- Daniel Mendelson
- Douglas Research Centre, 6875 Blvd. LaSalle, Verdun, Québec, H4H 1R3, Canada
- Department of Psychology, McGill University, 2001 McGill College Ave., Montréal, Québec, H3A 1G1, Canada
| | - Romina Mizrahi
- Douglas Research Centre, 6875 Blvd. LaSalle, Verdun, Québec, H4H 1R3, Canada
- Department of Psychiatry, McGill University, 1033 Pine Ave. West, Montréal, Québec, H3A 1A1, Canada
| | - Martin Lepage
- Douglas Research Centre, 6875 Blvd. LaSalle, Verdun, Québec, H4H 1R3, Canada
- Department of Psychiatry, McGill University, 1033 Pine Ave. West, Montréal, Québec, H3A 1A1, Canada
| | - Katie M. Lavigne
- Douglas Research Centre, 6875 Blvd. LaSalle, Verdun, Québec, H4H 1R3, Canada
- Department of Psychiatry, McGill University, 1033 Pine Ave. West, Montréal, Québec, H3A 1A1, Canada
- Montreal Neurological Institute-Hospital, 3801 University St., Montréal, Québec, H3A 2B4, Canada
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19
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Moro L, Orri M, Sicotte R, Thibaudeau É, Joober R, Malla A, Lepage M. Sociodemographic and clinical risk factors associated with suicidal ideation and attempt during a 2-year early intervention program for first-episode psychosis. Schizophr Res 2023; 258:61-68. [PMID: 37506577 DOI: 10.1016/j.schres.2023.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 04/12/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023]
Abstract
BACKGROUND Identifying risk factors for suicidal ideation and attempt among first-episode psychosis patients is essential to prevent suicide in this high-risk population. We investigated risk factors at admission for suicidal ideation and attempt during a 2-year early intervention program. METHODS Our sample included patients aged 18-35 years who were consecutively admitted to an early intervention program (2003-2017). Sociodemographic and clinical variables were obtained from a longitudinal study, while data on suicidal ideation and attempt were collected via systematic file review. Univariable and multivariable logistic regressions assessed the association of these variables with suicide ideation and attempt. RESULTS Of 446 participants, 35 (7.8 %) attempted suicide during the 2-year follow up, including two resulting in death (0.45 %), and 168 (37.7 %) reported solely suicidal ideation. Multivariable analyses indicated living alone (OR = 4.01, CI = 2.11-7.63), affective psychosis (OR = 1.95, CI = 1.22-3.14) and depressive symptomatology (OR = 1.45, CI = 1.13-1.86) were associated with increased risk for suicidal ideation. Attempting suicide close to admission (OR = 10.29, CI = 3.63-29.22), living alone (OR = 4.17, CI = 1.40-12.35), and depressive (OR = 1.67, CI = 1.06-2.63) and positive symptomatology (OR = 1.60, CI = 1.02-2.50) were associated with increased risk for suicide attempt. Attempting suicide close to admission (OR = 11.65, CI = 4.08-33.30), being part of an ethnic minority (OR = 3.71, CI = 1.59-8.63), and presenting lower anxiety (OR = 0.58, CI = 0.36-0.94) were the only factors specifically associated with suicide attempt compared to ideation. CONCLUSION Close monitoring of patients who recently attempted suicide, live alone, are part of an ethnic minority, and present with affective and positive symptomatology may help reduce the risk of suicide-related outcomes during early intervention programs.
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Affiliation(s)
- Laura Moro
- Department of Psychology, University of Montreal, Montreal, Canada; Douglas Research Centre, Montreal, Canada
| | - Massimiliano Orri
- Douglas Research Centre, Montreal, Canada; McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada
| | - Roxanne Sicotte
- Douglas Research Centre, Montreal, Canada; Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal, Canada
| | - Élisabeth Thibaudeau
- Douglas Research Centre, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada
| | - Ridha Joober
- Department of Psychiatry, McGill University, Montreal, Canada; Prevention and Early Intervention Program for Psychosis (PEPP), Douglas Mental Health University Institute, Montreal, Canada
| | - Ashok Malla
- Department of Psychiatry, McGill University, Montreal, Canada; Prevention and Early Intervention Program for Psychosis (PEPP), Douglas Mental Health University Institute, Montreal, Canada
| | - Martin Lepage
- Douglas Research Centre, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada.
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20
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Lepage M, Bowie CR, Montreuil T, Baer L, Percie du Sert O, Lecomte T, Joober R, Abdel-Baki A, Jarvis GE, Margolese HC, De Benedictis L, Schmitz N, Malla AK. Manualized group cognitive behavioral therapy for social anxiety in first-episode psychosis: a randomized controlled trial. Psychol Med 2023; 53:3335-3344. [PMID: 35485835 PMCID: PMC10277720 DOI: 10.1017/s0033291721005328] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 11/28/2021] [Accepted: 12/08/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND Social anxiety (SA), a prevalent comorbid condition in psychotic disorders with a negative impact on functioning, requires adequate intervention relatively early. Using a randomized controlled trial, we tested the efficacy of a group cognitive-behavioral therapy intervention for SA (CBT-SA) that we developed for youth who experienced the first episode of psychosis (FEP). For our primary outcome, we hypothesized that compared to the active control of group cognitive remediation (CR), the CBT-SA group would show a reduction in SA that would be maintained at 3- and 6-month follow-ups. For secondary outcomes, it was hypothesized that the CBT-SA group would show a reduction of positive and negative symptoms and improvements in recovery and functioning. METHOD Ninety-six patients with an FEP and SA, recruited from five different FEP programs in the Montreal area, were randomized to 13 weekly group sessions of either CBT-SA or CR intervention. RESULTS Linear mixed models revealed that multiple measures of SA significantly reduced over time, but with no significant group differences. Positive and negative symptoms, as well as functioning improved over time, with negative symptoms and functioning exhibiting a greater reduction in the CBT-SA group. CONCLUSIONS While SA decreased over time with both interventions, a positive effect of the CBT-SA intervention on measures of negative symptoms, functioning, and self-reported recovery at follow-up suggests that our intervention had a positive effect that extended beyond symptoms specific to SA.ClinicalTrials.gov identifier: NCT02294409.
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Affiliation(s)
- Martin Lepage
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Christopher R. Bowie
- Department of Psychology, Department of Psychiatry, Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Tina Montreuil
- Departments of Educational & Counselling Psychology and Psychiatry, McGill University, Montreal, Quebec, Canada
- Child Health and Human Development, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Larry Baer
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Olivier Percie du Sert
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Tania Lecomte
- Department of Psychology, University of Montréal, Montréal, Quebec, Canada
| | - Ridha Joober
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Amal Abdel-Baki
- Clinique JAP-Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
- Centre de recherche du Centre hospitalier de l'Université de Montréal CRCHUM, Montréal, Québec, Canada
- Département de psychiatrie et d'addictologie, Université de Montréal, Montréal, Québec, Canada
| | - G. Eric Jarvis
- First Episode Psychosis Program, Jewish General Hospital, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Howard C. Margolese
- Prevention and Early Intervention Program for Psychoses, McGill University Health Centre, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Luigi De Benedictis
- Connec-T Clinic (First Psychotic Episode and Early Intervention Program), Institut universitaire en santé mentale de Montréal, Montreal, Quebec, Canada
- Department of Psychiatry and Addictology, University of Montreal, Montreal, Quebec, Canada
| | - Norbert Schmitz
- Department of Population-Based Medicine, Institute of Health Sciences, University Hospital Tuebingen, Tuebingen, Germany
| | - Ashok K. Malla
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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21
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Lal S, Tobin R, Tremblay S, Gleeson JFM, D'Alfonso S, Etienne G, Joober R, Lepage M, Alvarez-Jimenez M. Experiences of a Digital Mental Health Intervention from the Perspectives of Young People Recovering from First-Episode Psychosis: A Focus Group Study. Int J Environ Res Public Health 2023; 20:ijerph20095745. [PMID: 37174262 PMCID: PMC10177982 DOI: 10.3390/ijerph20095745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 04/20/2023] [Accepted: 04/24/2023] [Indexed: 05/15/2023]
Abstract
Horyzons is a digital health intervention designed to support recovery in young people receiving specialized early intervention services for first-episode psychosis (FEP). Horyzons was developed in Australia and adapted for implementation in Canada based on input from clinicians and patients (Horyzons-Canada Phase 1) and subsequently pilot-tested with 20 young people with FEP (Horyzons-Canada Phase 2). OBJECTIVE To understand the experiences of young adults with FEP who participated in the pilot study based on focus group data. METHODS Among the twenty individuals that accessed the intervention, nine participated across four focus groups. Three team members were involved in data management and analysis, informed by a thematic analysis approach. A coding framework was created by adapting the Phase 1 framework to current study objectives, then revised iteratively by applying it to the current data. Once the coding framework was finalized, it was systematically applied to the entire dataset. RESULTS Four themes were identified: (1) Perceiving Horyzons-Canada as helpful for recovery; (2) Appreciating core intervention components (i.e., peer networking; therapeutic content; moderation) and ease of use; (3) Being unaware of its features; and (4) Expressing concerns, suggestions, and future directions. CONCLUSIONS Horyzons-Canada was well received, with participants wanting it to grow in scale, accessibility, and functionality.
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Affiliation(s)
- Shalini Lal
- School of Rehabilitation, Faculty of Medicine, University of Montréal, Montréal, QC H3C 3J7, Canada
- Youth Mental Health and Technology Lab, Health Innovation and Evaluation Hub, CHUM Research Centre, Montréal, QC H2X 0A9, Canada
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC H4H 1R3, Canada
| | - Ryan Tobin
- Youth Mental Health and Technology Lab, Health Innovation and Evaluation Hub, CHUM Research Centre, Montréal, QC H2X 0A9, Canada
| | - Stephanie Tremblay
- Youth Mental Health and Technology Lab, Health Innovation and Evaluation Hub, CHUM Research Centre, Montréal, QC H2X 0A9, Canada
- School of Physical and Occupational Therapy, McGill University, Montréal, QC H3G 1Y5, Canada
| | - John F M Gleeson
- Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy 3065, Australia
| | - Simon D'Alfonso
- School of Computing and Information Systems, University of Melbourne, Parkville 3010, Australia
- Orygen, Parkville 3052, Australia
| | - Geraldine Etienne
- Youth Mental Health and Technology Lab, Health Innovation and Evaluation Hub, CHUM Research Centre, Montréal, QC H2X 0A9, Canada
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC H4H 1R3, Canada
| | - Ridha Joober
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC H4H 1R3, Canada
- Department of Psychiatry, McGill University, Montréal, QC H3A 1A1, Canada
| | - Martin Lepage
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC H4H 1R3, Canada
- Department of Psychiatry, McGill University, Montréal, QC H3A 1A1, Canada
| | - Mario Alvarez-Jimenez
- Orygen, Parkville 3052, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville 3052, Australia
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22
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Bacellar IOL, Morin G, Daniels S, Turecki G, Palaniyappan L, Lepage M. Opening up mental health research. J Psychiatry Neurosci 2023; 48:E209-E216. [PMID: 37253483 DOI: 10.1503/jpn.220199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/09/2023] [Accepted: 03/23/2023] [Indexed: 06/01/2023] Open
Abstract
Open science provides a compelling framework for accelerating global collaborations and enabling discoveries to understand and treat mental health disorders. Herein, we discuss the advantages and obstacles to adopting open science in mental health research, considering the particularities of sensitive and diverse data types, the potential of co-designing projects with research participants and the opportunity of amplifying open science by integration with mental health care. We present a practical example of how this landscape may be navigated to adopt open science across an entire research centre, in 5 steps, namely leadership committing to open science; finding models, resources and allies; identifying needs; defining open science principles; and putting principles into practice. We derive lessons learned that can be built upon by researchers and research organizations joining the open science movement in mental health.
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Affiliation(s)
- Isabel O L Bacellar
- From the Douglas Research Centre, Montréal, Que. (Bacellar, Morin, Daniels, Turecki, Palaniyappan, Lepage); the Montreal West Island Integrated University Health and Social Services Centre, Montréal, Que. (Morin); the Department of Psychiatry, McGill University, Montréal, Que. (Daniels, Turecki, Palaniyappan, Lepage)
| | - Geneviève Morin
- From the Douglas Research Centre, Montréal, Que. (Bacellar, Morin, Daniels, Turecki, Palaniyappan, Lepage); the Montreal West Island Integrated University Health and Social Services Centre, Montréal, Que. (Morin); the Department of Psychiatry, McGill University, Montréal, Que. (Daniels, Turecki, Palaniyappan, Lepage)
| | - Sylvanne Daniels
- From the Douglas Research Centre, Montréal, Que. (Bacellar, Morin, Daniels, Turecki, Palaniyappan, Lepage); the Montreal West Island Integrated University Health and Social Services Centre, Montréal, Que. (Morin); the Department of Psychiatry, McGill University, Montréal, Que. (Daniels, Turecki, Palaniyappan, Lepage)
| | - Gustavo Turecki
- From the Douglas Research Centre, Montréal, Que. (Bacellar, Morin, Daniels, Turecki, Palaniyappan, Lepage); the Montreal West Island Integrated University Health and Social Services Centre, Montréal, Que. (Morin); the Department of Psychiatry, McGill University, Montréal, Que. (Daniels, Turecki, Palaniyappan, Lepage)
| | - Lena Palaniyappan
- From the Douglas Research Centre, Montréal, Que. (Bacellar, Morin, Daniels, Turecki, Palaniyappan, Lepage); the Montreal West Island Integrated University Health and Social Services Centre, Montréal, Que. (Morin); the Department of Psychiatry, McGill University, Montréal, Que. (Daniels, Turecki, Palaniyappan, Lepage)
| | - Martin Lepage
- From the Douglas Research Centre, Montréal, Que. (Bacellar, Morin, Daniels, Turecki, Palaniyappan, Lepage); the Montreal West Island Integrated University Health and Social Services Centre, Montréal, Que. (Morin); the Department of Psychiatry, McGill University, Montréal, Que. (Daniels, Turecki, Palaniyappan, Lepage)
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23
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Lal S, Gleeson JF, D'Alfonso S, Lee H, Etienne G, Joober R, Lepage M, Alvarez-Jimenez M. Digital health innovation to prevent relapse and support recovery in young people with first-episode psychosis: A pilot study of Horyzons-Canada. Schizophrenia (Heidelb) 2023; 9:21. [PMID: 37029168 PMCID: PMC10082074 DOI: 10.1038/s41537-023-00352-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 03/22/2023] [Indexed: 04/09/2023]
Abstract
Digital health innovations may help to improve access to psychosocial therapy and peer support; however, the existence of evidence-based digital health interventions for individuals recovering from a first-episode psychosis (FEP) remains limited. This study aims to investigate the feasibility, acceptability, safety, and pre-post outcomes of Horyzons-Canada (HoryzonsCa), a Canadian adaptation of a digital mental health intervention consisting of psychosocial interventions, online social networking, and clinical and peer support moderation. Using a convergent mixed-methods research design, we recruited participants from a specialized early intervention clinic for FEP in Montreal, Canada. Twenty-three participants (mean age = 26.8) completed baseline assessments, and 20 completed follow-up assessments after 8 weeks of intervention access. Most participants provided positive feedback on general experience (85%, 17/20) and the utility of Horyzons for identifying their strengths (70%, 14/20). Almost all perceived the platform as easy to use (95%, 19/20) and felt safe using it (90%, 18/20). There were no adverse events related to the intervention. Participants used HoryzonsCa to learn about their illness and how to get better (65%, 13/20), receive support (60%, 12/20), and access social networking (35%, 7/20) and peer support (30%, 6/20). Regarding adoption, 65% (13/20) logged in at least 4 times over 8 weeks. There was a nonsignificant increase in social functioning and no deterioration on the Clinical Global Impression Scale. Overall, HoryzonsCa was feasible to implement and perceived as safe and acceptable. More research is needed with larger sample sizes and using in-depth qualitative methods to better understand the implementation and impact of HoryzonsCa.
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Affiliation(s)
- Shalini Lal
- School of Rehabilitation, Faculty of Medicine, University of Montréal, Montréal, QC, Canada.
- Youth Mental Health and Technology Lab, Health Innovation and Evaluation Hub, University of Montréal Hospital Research Centre, Montréal, QC, Canada.
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada.
| | - John F Gleeson
- Healthy Brain and Mind Research Centre and School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC, Australia
| | - Simon D'Alfonso
- School of Computing and Information Systems, University of Melbourne, Parkville, VIC, Australia
| | - Hajin Lee
- School of Rehabilitation, Faculty of Medicine, University of Montréal, Montréal, QC, Canada
- Youth Mental Health and Technology Lab, Health Innovation and Evaluation Hub, University of Montréal Hospital Research Centre, Montréal, QC, Canada
| | - Geraldine Etienne
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
| | - Ridha Joober
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Martin Lepage
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Mario Alvarez-Jimenez
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
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24
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Frawley E, Cowman M, Lepage M, Donohoe G. Social and occupational recovery in early psychosis: a systematic review and meta-analysis of psychosocial interventions. Psychol Med 2023; 53:1787-1798. [PMID: 34474696 PMCID: PMC10106304 DOI: 10.1017/s003329172100341x] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 07/20/2021] [Accepted: 07/29/2021] [Indexed: 01/22/2023]
Abstract
BACKGROUND Psychosis, even in its early stages, ranks highly among the causes of disability worldwide, resulting in an increased focus on improved recovery of social and occupational functioning. This study aimed to provide an estimate of the effectiveness of psychosocial interventions for improving functioning in early psychosis. We also sought evidence of superiority between intervention approaches. METHODS An electronic search was conducted using PubMed and PsycINFO to identify original articles reporting on trials of psychosocial interventions in early-stage psychosis, published up to December 2020 and is reported following PRISMA guidelines. Data were extracted on validated measures of functioning from included studies and pooled standardised mean difference (SMD) was estimated. RESULTS In total, 31 studies involving 2811 participants were included, focusing on: cognitive behavioural therapy for psychosis (CBTp), family-based therapy, supported employment, cognitive remediation training (CRT) and multi-component psychosocial interventions. Across interventions, improved function was observed (SMD = 0.239; 95% confidence interval 0.115-0.364, p < 0.001). Effect sizes varied by intervention type, stage of illness, length and duration of treatment and outcome measure used. In particular, interventions based on CRT significantly outperformed symptom-focused CBT interventions, while multi-component interventions were associated with largest gains. CONCLUSIONS Psychosocial interventions, particularly when provided as part of a multi-component intervention model and delivered in community-based settings are associated with significant improvements in social and occupational function. This review underscores the value of sensitively tracking and targeting psychosocial function as part of the standard provided by early intervention services.
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Affiliation(s)
- E. Frawley
- Centre for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - M. Cowman
- Centre for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - M. Lepage
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
| | - G. Donohoe
- Centre for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, National University of Ireland Galway, Galway, Ireland
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25
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Fleming LM, Lemonde AC, Benrimoh D, Gold JM, Taylor JR, Malla A, Joober R, Iyer SN, Lepage M, Shah J, Corlett PR. Using dimensionality-reduction techniques to understand the organization of psychotic symptoms in persistent psychotic illness and first episode psychosis. Sci Rep 2023; 13:4841. [PMID: 36964175 PMCID: PMC10039017 DOI: 10.1038/s41598-023-31909-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 03/17/2023] [Indexed: 03/26/2023] Open
Abstract
Psychotic disorders are highly heterogeneous. Understanding relationships between symptoms will be relevant to their underlying pathophysiology. We apply dimensionality-reduction methods across two unique samples to characterize the patterns of symptom organization. We analyzed publicly-available data from 153 participants diagnosed with schizophrenia or schizoaffective disorder (fBIRN Data Repository and the Consortium for Neuropsychiatric Phenomics), as well as 636 first-episode psychosis (FEP) participants from the Prevention and Early Intervention Program for Psychosis (PEPP-Montreal). In all participants, the Scale for the Assessment of Positive Symptoms (SAPS) and Scale for the Assessment of Negative Symptoms (SANS) were collected. Multidimensional scaling (MDS) combined with cluster analysis was applied to SAPS and SANS scores across these two groups of participants. MDS revealed relationships between items of SAPS and SANS. Our application of cluster analysis to these results identified: 1 cluster of disorganization symptoms, 2 clusters of hallucinations/delusions, and 2 SANS clusters (asocial and apathy, speech and affect). Those reality distortion items which were furthest from auditory hallucinations had very weak to no relationship with hallucination severity. Despite being at an earlier stage of illness, symptoms in FEP presentations were similarly organized. While hallucinations and delusions commonly co-occur, we found that their specific themes and content sometimes travel together and sometimes do not. This has important implications, not only for treatment, but also for research-particularly efforts to understand the neurocomputational and pathophysiological mechanism underlying delusions and hallucinations.
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Affiliation(s)
- Leah M Fleming
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Interdepartmental Neuroscience Department, Yale University, New Haven, CT, USA
| | | | - David Benrimoh
- Department of Psychiatry, McGill University Montreal, Qubec, Canada
| | - James M Gold
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jane R Taylor
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Neuroscience, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Ashok Malla
- Department of Psychiatry, McGill University Montreal, Qubec, Canada
- The Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Qubec, Canada
| | - Ridha Joober
- Department of Psychiatry, McGill University Montreal, Qubec, Canada
- The Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Qubec, Canada
| | - Srividya N Iyer
- Department of Psychiatry, McGill University Montreal, Qubec, Canada
- The Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Qubec, Canada
| | - Martin Lepage
- Department of Psychiatry, McGill University Montreal, Qubec, Canada
- The Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Qubec, Canada
| | - Jai Shah
- Department of Psychiatry, McGill University Montreal, Qubec, Canada
- The Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Qubec, Canada
| | - Philip R Corlett
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
- Department of Psychology, Yale University, New Haven, CT, USA.
- Wu Tsai Institute, Yale University, New Haven, CT, USA.
- Connecticut Mental Health Center, 34 Park St, New Haven, CT, 06519, USA.
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26
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Thibaudeau E, Rae J, Raucher-Chéné D, Bougeard A, Lepage M. Disentangling the Relationships Between the Clinical Symptoms of Schizophrenia Spectrum Disorders and Theory of Mind: A Meta-analysis. Schizophr Bull 2023; 49:255-274. [PMID: 36244001 PMCID: PMC10016420 DOI: 10.1093/schbul/sbac150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND AND HYPOTHESIS Previous studies have suggested links between clinical symptoms and theory of mind (ToM) impairments in schizophrenia spectrum disorders (SSD), but it remains unclear whether some symptoms are more strongly linked to ToM than others. STUDY DESIGN A meta-analysis (Prospero; CRD42021259723) was conducted to quantify and compare the strength of the associations between ToM and the clinical symptoms of SSD (Positive, Negative, Cognitive/Disorganization, Depression/Anxiety, Excitability/Hostility). Studies (N = 130, 137 samples) including people with SSD and reporting a correlation between clinical symptoms and ToM were retrieved from Pubmed, PsycNet, Embase, Cochrane Library, Science Direct, Proquest, WorldCat, and Open Gray. Correlations for each dimension and each symptom were entered into a random-effect model using a Fisher's r-to-z transformation and were compared using focused-tests. Publication bias was assessed with the Rosenthal failsafe and by inspecting the funnel plot and the standardized residual histogram. STUDY RESULTS The Cognitive/Disorganization (Zr = 0.28) and Negative (Zr = 0.24) dimensions revealed a small to moderate association with ToM, which was significantly stronger than the other dimensions. Within the Cognitive/Disorganization dimension, Difficulty in abstract thinking (Zr = 0.36) and Conceptual disorganization (Zr = 0.39) showed the strongest associations with ToM. The association with the Positive dimension (Zr = 0.16) was small and significantly stronger than the relationship with Depression/Anxiety (Zr = 0.09). Stronger associations were observed between ToM and clinical symptoms in younger patients, those with an earlier age at onset of illness and for tasks assessing a combination of different mental states. CONCLUSIONS The relationships between Cognitive/Disorganization, Negative symptoms, and ToM should be considered in treating individuals with SSD.
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Affiliation(s)
- Elisabeth Thibaudeau
- McGill University, Department of Psychiatry, Montreal, Canada
- Douglas Research Centre, Montreal, Canada
| | - Jesse Rae
- Douglas Research Centre, Montreal, Canada
- McGill University, Department of Psychology, Montreal, Canada
| | - Delphine Raucher-Chéné
- McGill University, Department of Psychiatry, Montreal, Canada
- Douglas Research Centre, Montreal, Canada
- Cognition, Health, and Society Laboratory (EA 6291), University of Reims Champagne-Ardenne, Reims, France
- Academic Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France
| | | | - Martin Lepage
- McGill University, Department of Psychiatry, Montreal, Canada
- Douglas Research Centre, Montreal, Canada
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27
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Percie du Sert O, Unrau J, Gauthier CJ, Chakravarty M, Malla A, Lepage M, Raucher-Chéné D. Cerebral blood flow in schizophrenia: A systematic review and meta-analysis of MRI-based studies. Prog Neuropsychopharmacol Biol Psychiatry 2023; 121:110669. [PMID: 36341843 DOI: 10.1016/j.pnpbp.2022.110669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 10/19/2022] [Accepted: 10/23/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Schizophrenia-spectrum disorders (SSD) represent one of the leading causes of disability worldwide and are usually underpinned by neurodevelopmental brain abnormalities observed on a structural and functional level. Nuclear medicine imaging studies of cerebral blood flow (CBF) have already provided insights into the pathophysiology of these disorders. Recent developments in non-invasive MRI techniques such as arterial spin labeling (ASL) have allowed broader examination of CBF across SSD prompting us to conduct an updated literature review of MRI-based perfusion studies. In addition, we conducted a focused meta-analysis of whole brain studies to provide a complete picture of the literature on the topic. METHODS A systematic OVID search was performed in Embase, MEDLINEOvid, and PsycINFO. Studies eligible for inclusion in the review involved: 1) individuals with SSD, first-episode psychosis or clinical-high risk for psychosis, or; 2) had healthy controls for comparison; 3) involved MRI-based perfusion imaging methods; and 4) reported CBF findings. No time span was specified for the database queries (last search: 08/2022). Information related to participants, MRI techniques, CBF analyses, and results were systematically extracted. Whole-brain studies were then selected for the meta-analysis procedure. The methodological quality of each included studies was assessed. RESULTS For the systematic review, the initial Ovid search yielded 648 publications of which 42 articles were included, representing 3480 SSD patients and controls. The most consistent finding was that negative symptoms were linked to cortical fronto-limbic hypoperfusion while positive symptoms seemed to be associated with hyperperfusion, notably in subcortical structures. The meta-analysis integrated results from 13 whole-brain studies, across 426 patients and 401 controls, and confirmed the robustness of the hypoperfusion in the left superior and middle frontal gyri and right middle occipital gyrus while hyperperfusion was found in the left putamen. CONCLUSION This updated review of the literature supports the implication of hemodynamic correlates in the pathophysiology of psychosis symptoms and disorders. A more systematic exploration of brain perfusion could complete the search of a multimodal biomarker of SSD.
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Affiliation(s)
- Olivier Percie du Sert
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Joshua Unrau
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Claudine J Gauthier
- Concordia University, Montreal, QC, Canada; Montreal Heart Institute, Montreal, QC, Canada
| | - Mallar Chakravarty
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Ashok Malla
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Martin Lepage
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada.
| | - Delphine Raucher-Chéné
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada; University of Reims Champagne-Ardenne, Cognition, Health, and Society Laboratory (EA 6291), Reims, France; Academic Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France
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28
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Penney D, Pruessner M, Malla AK, Joober R, Lepage M. Severe childhood trauma and emotion recognition in males and females with first-episode psychosis. Early Interv Psychiatry 2023; 17:149-158. [PMID: 35384318 DOI: 10.1111/eip.13299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 02/25/2022] [Accepted: 03/13/2022] [Indexed: 11/27/2022]
Abstract
AIM Childhood trauma increases social functioning deficits in first-episode psychosis (FEP) and is negatively associated with higher-order social cognitive processes such as emotion recognition (ER). We investigated the relationship between childhood trauma severity and ER capacity, and explored sex as a potential factor given sex differences in childhood trauma exposure. METHODS Eighty-three FEP participants (52 males, 31 females) and 69 nonclinical controls (49 males, 20 females) completed the CogState Research Battery. FEP participants completed the Childhood Trauma Questionnaire. A sex × group (FEP, controls) ANOVA examined ER differences and was followed by two-way ANCOVAs investigating sex and childhood trauma severity (none, low, moderate, and severe) on ER and global cognition in FEP. RESULTS FEP participants had significantly lower ER scores than controls (p = .035). No significant sex × group interaction emerged for ER F(3, 147) = .496, p = .438 [95% CI = -1.20-0.57], partial η2 = .003. When controlling for age at psychosis onset, a significant interaction emerged in FEP between sex and childhood trauma severity F(3, 71) = 3.173, p = .029, partial η2 = .118. Males (n = 9) with severe trauma showed ER deficits compared to females (n = 8) (p = .011 [95% CI = -2.90 to -0.39]). No significant interaction was observed for global cognition F(3, 69) = 2.410, p = .074, partial η2 = .095. CONCLUSIONS These preliminary findings provide support for longitudinal investigations examining whether trauma severity differentially impacts ER in males and females with FEP.
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Affiliation(s)
- Danielle Penney
- Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychology, Université du Québec à Montréal, Montréal, Canada
| | - Marita Pruessner
- Douglas Mental Health University Institute, Montréal, Canada
- Department of Clinical Psychology, University of Konstanz, Konstanz, Germany
- Department of Psychiatry, McGill University, Montréal, Canada
| | - Ashok K Malla
- Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychiatry, McGill University, Montréal, Canada
| | - Ridha Joober
- Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychiatry, McGill University, Montréal, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, Montréal, Canada
- Department of Psychiatry, McGill University, Montréal, Canada
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29
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Paquin V, Malla AK, Iyer SN, Lepage M, Joober R, Shah JL. Transsyndromic trajectories from pre-onset self-harm and subthreshold psychosis to the first episode of psychosis: A longitudinal study. J Psychopathol Clin Sci 2023; 132:198-208. [PMID: 36808963 DOI: 10.1037/abn0000806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
Across subthreshold psychotic and nonpsychotic syndromes, symptoms experienced before the onset of a first episode of psychosis (FEP) may index distinct illness trajectories. We aimed to examine the associations between three types of pre-onset symptoms (self-harm, suicide attempts, and subthreshold psychotic) and outcome trajectories during FEP. Participants with FEP were recruited from PEPP-Montreal, a catchment-based early intervention service. Pre-onset symptoms were systematically assessed through interviews with participants (and their relatives) and reviews of health and social records. Over 2 years of follow-up at PEPP-Montreal, 3-8 repeated measures were collected for positive, negative, depressive, and anxiety symptoms, as well as functioning. We applied linear mixed models to examine associations between pre-onset symptoms and outcome trajectories. We found that on average over follow-up, participants with pre-onset self-harm had more severe positive, depressive, and anxiety symptoms compared with other participants (standardized mean differences: 0.32-0.76), while differences in negative symptoms and functioning were not significant. Associations did not differ by gender and remained similar after adjusting for the duration of untreated psychosis, substance use disorder, or baseline diagnosis of affective psychosis. Over time, depressive and anxiety symptoms improved among individuals with pre-onset self-harm, such that they converged with other individuals by the end of the follow-up. Similarly, pre-onset suicide attempts were associated with elevated depressive symptoms that improved over time. Pre-onset subthreshold psychotic symptoms were not associated with outcomes, except for a slightly different trajectory of functioning. Individuals with pre-onset self-harm or suicide attempts may benefit from early interventions that target their transsyndromic trajectories. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | | | - Jai L Shah
- Douglas Mental Health University Institute
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30
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Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Author Correction: Federated learning enables big data for rare cancer boundary detection. Nat Commun 2023; 14:436. [PMID: 36702828 PMCID: PMC9879935 DOI: 10.1038/s41467-023-36188-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Affiliation(s)
- Sarthak Pati
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
| | - Ujjwal Baid
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chiharu Sako
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Satyam Ghodasara
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michel Bilello
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Gianluca Brugnara
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Felix Sahm
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Klaus Maier-Hein
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Maximilian Zenk
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Wolfgang Wick
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany
| | - Evan Calabrese
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey Rudie
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Javier Villanueva-Meyer
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Soonmee Cha
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Madhura Ingalhalikar
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Manali Jadhav
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Umang Pandey
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - John Garrett
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Matthew Larson
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Robert Jeraj
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Stuart Currie
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Russell Frood
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Kavi Fatania
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ken Chang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | | | | | - Josep Puig
- Department of Radiology (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain
| | - Johannes Trenkler
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Josef Pichler
- Department of Neurooncology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Georg Necker
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Andreas Haunschmidt
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Stephan Meckel
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
- Institute of Diagnostic and Interventional Neuroradiology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Gaurav Shukla
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiation Oncology, Christiana Care Health System, Philadelphia, PA, USA
| | - Spencer Liem
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Gregory S Alexander
- Department of Radiation Oncology, University of Maryland, Baltimore, MD, USA
| | - Joseph Lombardo
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, The James Cancer Hospital and Solove Research Institute, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Adam E Flanders
- Department of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Adam P Dicker
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Haris I Sair
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Craig K Jones
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Archana Venkataraman
- Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Meirui Jiang
- The Chinese University of Hong Kong, Hong Kong, China
| | - Tiffany Y So
- The Chinese University of Hong Kong, Hong Kong, China
| | - Cheng Chen
- The Chinese University of Hong Kong, Hong Kong, China
| | | | - Qi Dou
- The Chinese University of Hong Kong, Hong Kong, China
| | - Michal Kozubek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Filip Lux
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Jan Michálek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Petr Matula
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Miloš Keřkovský
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Tereza Kopřivová
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Marek Dostál
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
- Department of Biophysics, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Václav Vybíhal
- Department of Neurosurgery, Faculty of Medicine, Masaryk University, Brno, and University Hospital and Czech Republic, Brno, Czech Republic
| | - Michael A Vogelbaum
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - J Ross Mitchell
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Joaquim Farinhas
- Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | | | | | - Marco C Pinho
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Divya Reddy
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - James Holcomb
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Talia Oughourlian
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Akifumi Hagiwara
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Chencai Wang
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Minh-Son To
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
- Division of Surgery and Perioperative Medicine, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Sargam Bhardwaj
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Chee Chong
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Marc Agzarian
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Bernardo C A Teixeira
- Instituto de Neurologia de Curitiba, Curitiba, Paraná, Brazil
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Flávia Sprenger
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - David Menotti
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Diego R Lucio
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Pamela LaMontagne
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Daniel Marcus
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
| | - Florian Kofler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Ivan Ezhov
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Marie Metz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Rajan Jain
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Neurosurgery, NYU Grossman School of Medicine, New York, NY, USA
| | - Matthew Lee
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Yvonne W Lui
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Richard McKinley
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Johannes Slotboom
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Piotr Radojewski
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Raphael Meier
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Derrick Murcia
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Eric Fu
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Rourke Haas
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - John Thompson
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - David Ryan Ormond
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Chaitra Badve
- Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA
| | - Andrew E Sloan
- Department of Neurological Surgery, University Hospitals-Seidman Cancer Center, Cleveland, OH, USA
- Case Comprehensive Cancer Center, Cleveland, OH, USA
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Vachan Vadmal
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Kristin Waite
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Rivka R Colen
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Linmin Pei
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Murat Ak
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashok Srinivasan
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - J Rajiv Bapuraj
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Arvind Rao
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas Wang
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Ota Yoshiaki
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Toshio Moritani
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Sevcan Turk
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Joonsang Lee
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Snehal Prabhudesai
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Fanny Morón
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Konstantinos Kamnitsas
- Department of Computing, Imperial College London, London, UK
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Ben Glocker
- Department of Computing, Imperial College London, London, UK
| | - Luke V M Dixon
- Department of Radiology, Imperial College NHS Healthcare Trust, London, UK
| | - Matthew Williams
- Computational Oncology Group, Institute for Global Health Innovation, Imperial College London, London, UK
| | - Peter Zampakis
- Department of NeuroRadiology, University of Patras, Patras, Greece
| | | | - Panagiotis Tsiganos
- Clinical Radiology Laboratory, Department of Medicine, University of Patras, Patras, Greece
| | - Sotiris Alexiou
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | - Ilias Haliassos
- Department of Neuro-Oncology, University of Patras, Patras, Greece
| | - Evangelia I Zacharaki
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | | | | | | | | | | | | | - Sung Soo Ahn
- Yonsei University College of Medicine, Seoul, Korea
| | - Bing Luo
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
| | - Laila Poisson
- Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Ning Wen
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
- SJTU-Ruijin-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China
| | | | - Ruchika Verma
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
- Case Western Reserve University, Cleveland, OH, USA
| | - Rohan Bareja
- Case Western Reserve University, Cleveland, OH, USA
| | - Ipsa Yadav
- Case Western Reserve University, Cleveland, OH, USA
| | | | - Neeraj Kumar
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Sebastian R van der Voort
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Ahmed Alafandi
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Fatih Incekara
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Maarten M J Wijnenga
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Georgios Kapsas
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Renske Gahrmann
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Joost W Schouten
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Hendrikus J Dubbink
- Department of Pathology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Arnaud J P E Vincent
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Martin J van den Bent
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Pim J French
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Stefan Klein
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Yading Yuan
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sonam Sharma
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tzu-Chi Tseng
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Saba Adabi
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Olivier Keunen
- Translation Radiomics, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Ann-Christin Hau
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Luxembourg Center of Neuropathology, Laboratoire National De Santé, Luxembourg, Luxembourg
| | - Martin Vallières
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - David Fortin
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Division of Neurosurgery and Neuro-Oncology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Martin Lepage
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Department of Nuclear Medicine and Radiobiology, Sherbrooke Molecular Imaging Centre, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Bennett Landman
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Karthik Ramadass
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kaiwen Xu
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Silky Chotai
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lola B Chambless
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Akshitkumar Mistry
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reid C Thompson
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuriy Gusev
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Krithika Bhuvaneshwar
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anousheh Sayah
- Division of Neuroradiology & Neurointerventional Radiology, Department of Radiology, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Camelia Bencheqroun
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anas Belouali
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Subha Madhavan
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Thomas C Booth
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Neuroradiology, Ruskin Wing, King's College Hospital NHS Foundation Trust, London, UK
| | - Alysha Chelliah
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Marc Modat
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Haris Shuaib
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Carmen Dragos
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
| | | | | | | | | | - Shady Gamal
- University of Cairo School of Medicine, Giza, Egypt
| | | | | | | | - Ji Eun Park
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Jihye Yun
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Ho Sung Kim
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Abhishek Mahajan
- The Clatterbridge Cancer Centre NHS Foundation Trust Pembroke Place, Liverpool, UK
| | - Mark Muzi
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Sean Benson
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands
- GROW School of Oncology and Developmental Biology, Maastricht, Netherlands
| | - Jonas Teuwen
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | | | - William Escobar
- Clínica Imbanaco Grupo Quirón Salud, Cali, Colombia
- Universidad del Valle, Cali, Colombia
| | | | - Jose Bernal
- Universidad del Valle, Cali, Colombia
- The University of Edinburgh, Edinburgh, UK
| | | | - Joseph Choi
- Department of Industrial and Systems Engineering, University of Iowa, Iowa, USA
| | - Stephen Baek
- Department of Industrial and Systems Engineering, Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Yusung Kim
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Heba Ismael
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Bryan Allen
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - John M Buatti
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | | | - Hongwei Li
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Andrea Bink
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Bertrand Pouymayou
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | | | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Prateek Prasanna
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Sampurna Shrestha
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Kartik M Mani
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Department of Radiation Oncology, Stony Brook University, Stony Brook, NY, USA
| | - David Payne
- Department of Radiology, Stony Brook University, Stony Brook, NY, USA
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Scientific Data Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Enrique Pelaez
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | - Francis Loayza
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | | | | | | | - Franco Vera
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Elvis Ríos
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Eduardo López
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Sergio A Velastin
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Godwin Ogbole
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mayowa Soneye
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Dotun Oyekunle
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | | | - Babatunde Osobu
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mustapha Shu'aibu
- Department of Radiology, Muhammad Abdullahi Wase Teaching Hospital, Kano, Nigeria
| | - Adeleye Dorcas
- Department of Radiology, Obafemi Awolowo University Ile-Ife, Ile-Ife, Osun, Nigeria
| | - Farouk Dako
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amber L Simpson
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Mohammad Hamghalam
- School of Computing, Queen's University, Kingston, ON, Canada
- Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
| | - Jacob J Peoples
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Ricky Hu
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Anh Tran
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Danielle Cutler
- The Faculty of Arts & Sciences, Queen's University, Kingston, ON, Canada
| | - Fabio Y Moraes
- Department of Oncology, Queen's University, Kingston, ON, Canada
| | - Michael A Boss
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - James Gimpel
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Deepak Kattil Veettil
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Kendall Schmidt
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Brian Bialecki
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Sailaja Marella
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Cynthia Price
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Lisa Cimino
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Charles Apgar
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | | | - Bjoern Menze
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Jill S Barnholtz-Sloan
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
- Center for Biomedical Informatics and Information Technology, National Cancer Institute (NCI), National Institute of Health, Bethesda, MD, USA
| | | | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Grunfeld G, Lemonde AC, Gold I, Iyer SN, Malla A, Lepage M, Joober R, Boksa P, Shah JL. "The more things change…"? Stability of delusional themes across 12 years of presentations to an early intervention service for psychosis. Soc Psychiatry Psychiatr Epidemiol 2023; 58:35-41. [PMID: 35907013 DOI: 10.1007/s00127-022-02324-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 06/20/2022] [Indexed: 01/20/2023]
Abstract
PURPOSE While the prevalence of delusional themes appears to be consistent across geographic contexts, little is known about the relative prevalence of such themes within a given setting over periods of time. We therefore investigated delusional themes across 12 years of presentation to a catchment-based early intervention service for first episode psychosis (FEP). METHODS Systematically collected data from 500 patients at an early intervention service for FEP were analyzed. Four cohorts of 3 years each, from 2006 to 2017, were used to compare the frequency of delusion themes across cohorts. We also integrated into the analysis baseline sociodemographic factors such as gender, age, and highest level of education and clinical factors such as anxiety, depression, suicidality, hallucinations, and primary diagnosis (affective or non-affective psychosis). RESULTS Sex and education level were stable across cohorts, while patient age varied (p = 0.047). Clinical anxiety, depression, and suicidality at entry were also stable. Across cohorts, the proportion of patients with affective versus non-affective diagnosis differed (p = 0.050), with no differences in global rating of delusion severity or theme prevalence except for delusions of guilt or sin (p = 0.001). This single theme difference was not correlated with age or diagnosis. CONCLUSION Our study suggests relatively stable prevalence of delusion themes across cohorts of individuals experiencing FEP. This demonstrates the potential utility of studying thematic content both for understanding delusions in clinical populations and in research. Future explorations of the relationships between delusion themes and across individual patient episodes should be conducted.
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Affiliation(s)
- Gil Grunfeld
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada.,Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
| | - Ann-Catherine Lemonde
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada.,Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
| | - Ian Gold
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada.,Department of Philosophy, Faculty of Arts, McGill University, Montréal, QC, Canada
| | - Srividya N Iyer
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada.,Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
| | - Ashok Malla
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada.,Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
| | - Martin Lepage
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada.,Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
| | - Ridha Joober
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada.,Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
| | - Patricia Boksa
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada
| | - Jai L Shah
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada. .,Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada.
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32
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Sousa AE, Ryan JD, Lepage M. Exploring the sociodemographic, clinical and neuropsychological factors associated with relational memory in schizophrenia. Cogn Neuropsychiatry 2023; 28:67-84. [PMID: 36464633 DOI: 10.1080/13546805.2022.2153657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION The Transverse Patterning (TP) task has been used to measure episodic relational memory (RM) deficits in clinical populations. Individuals with schizophrenia often fail to learn TP with standard, and sometimes extensive training. Identifying the differences between TP learners and non-learners can improve our understanding of successful TP performance and its underlying mechanisms, which may help improve interventions aimed at ameliorating RM performance. We investigated sociodemographic, clinical and neuropsychological factors associated with TP performance in schizophrenia. METHODS Sixty-six participants with schizophrenia completed a semantically rich and a relational-binding dependent version of the TP task and reported on their task awareness and strategy use. RESULTS Twenty-six participants failed to learn the task rules after extensive training. Learners had superior verbal, visual and working memory, executive functions and overall cognitive functioning compared to non-learners. Learners also had superior awareness of task rules and pairs relationships and used elaborated cognitive strategies more often. CONCLUSIONS Our results support previous findings that some individuals with schizophrenia show RM impairment even with extensive TP training. We shed light on neuropsychological and metacognitive factors associated with TP performance. This knowledge could enhance interventions targeted to improve relational memory in schizophrenia when extensive training fails.
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Affiliation(s)
- Ana Elisa Sousa
- Douglas Mental Health University Institute, Montreal, Canada.,Integrated Program in Neuroscience, McGill University, Montréal, Canada
| | - Jennifer D Ryan
- Rotman Research Institute, Baycrest, Department of Psychology, University of Toronto, Toronto, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, Montreal, Canada.,Department of Psychiatry, McGill University, Montreal, Canada
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33
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Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Federated learning enables big data for rare cancer boundary detection. Nat Commun 2022; 13:7346. [PMID: 36470898 PMCID: PMC9722782 DOI: 10.1038/s41467-022-33407-5] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 09/16/2022] [Indexed: 12/12/2022] Open
Abstract
Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing.
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Affiliation(s)
- Sarthak Pati
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
| | - Ujjwal Baid
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chiharu Sako
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Satyam Ghodasara
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michel Bilello
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Gianluca Brugnara
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Felix Sahm
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Klaus Maier-Hein
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Maximilian Zenk
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Wolfgang Wick
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany
| | - Evan Calabrese
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey Rudie
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Javier Villanueva-Meyer
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Soonmee Cha
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Madhura Ingalhalikar
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Manali Jadhav
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Umang Pandey
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - John Garrett
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Matthew Larson
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Robert Jeraj
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Stuart Currie
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Russell Frood
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Kavi Fatania
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ken Chang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | | | | | - Josep Puig
- Department of Radiology (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain
| | - Johannes Trenkler
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Josef Pichler
- Department of Neurooncology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Georg Necker
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Andreas Haunschmidt
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Stephan Meckel
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
- Institute of Diagnostic and Interventional Neuroradiology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Gaurav Shukla
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiation Oncology, Christiana Care Health System, Philadelphia, PA, USA
| | - Spencer Liem
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Gregory S Alexander
- Department of Radiation Oncology, University of Maryland, Baltimore, MD, USA
| | - Joseph Lombardo
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, The James Cancer Hospital and Solove Research Institute, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Adam E Flanders
- Department of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Adam P Dicker
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Haris I Sair
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Craig K Jones
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Archana Venkataraman
- Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Meirui Jiang
- The Chinese University of Hong Kong, Hong Kong, China
| | - Tiffany Y So
- The Chinese University of Hong Kong, Hong Kong, China
| | - Cheng Chen
- The Chinese University of Hong Kong, Hong Kong, China
| | | | - Qi Dou
- The Chinese University of Hong Kong, Hong Kong, China
| | - Michal Kozubek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Filip Lux
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Jan Michálek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Petr Matula
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Miloš Keřkovský
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Tereza Kopřivová
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Marek Dostál
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
- Department of Biophysics, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Václav Vybíhal
- Department of Neurosurgery, Faculty of Medicine, Masaryk University, Brno, and University Hospital and Czech Republic, Brno, Czech Republic
| | - Michael A Vogelbaum
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - J Ross Mitchell
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Joaquim Farinhas
- Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | | | | | - Marco C Pinho
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Divya Reddy
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - James Holcomb
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Talia Oughourlian
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Akifumi Hagiwara
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Chencai Wang
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Minh-Son To
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
- Division of Surgery and Perioperative Medicine, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Sargam Bhardwaj
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Chee Chong
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Marc Agzarian
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Bernardo C A Teixeira
- Instituto de Neurologia de Curitiba, Curitiba, Paraná, Brazil
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Flávia Sprenger
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - David Menotti
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Diego R Lucio
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Pamela LaMontagne
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Daniel Marcus
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
| | - Florian Kofler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Ivan Ezhov
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Marie Metz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Rajan Jain
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Neurosurgery, NYU Grossman School of Medicine, New York, NY, USA
| | - Matthew Lee
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Yvonne W Lui
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Richard McKinley
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Johannes Slotboom
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Piotr Radojewski
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Raphael Meier
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
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- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Eric Fu
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Rourke Haas
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
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- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - David Ryan Ormond
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Chaitra Badve
- Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA
| | - Andrew E Sloan
- Department of Neurological Surgery, University Hospitals-Seidman Cancer Center, Cleveland, OH, USA
- Case Comprehensive Cancer Center, Cleveland, OH, USA
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Vachan Vadmal
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Kristin Waite
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Rivka R Colen
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
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- University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Murat Ak
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashok Srinivasan
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - J Rajiv Bapuraj
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Arvind Rao
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas Wang
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Ota Yoshiaki
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Toshio Moritani
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Sevcan Turk
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Joonsang Lee
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
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- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
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- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Konstantinos Kamnitsas
- Department of Computing, Imperial College London, London, UK
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Ben Glocker
- Department of Computing, Imperial College London, London, UK
| | - Luke V M Dixon
- Department of Radiology, Imperial College NHS Healthcare Trust, London, UK
| | - Matthew Williams
- Computational Oncology Group, Institute for Global Health Innovation, Imperial College London, London, UK
| | - Peter Zampakis
- Department of NeuroRadiology, University of Patras, Patras, Greece
| | | | - Panagiotis Tsiganos
- Clinical Radiology Laboratory, Department of Medicine, University of Patras, Patras, Greece
| | - Sotiris Alexiou
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | - Ilias Haliassos
- Department of Neuro-Oncology, University of Patras, Patras, Greece
| | - Evangelia I Zacharaki
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
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- Yonsei University College of Medicine, Seoul, Korea
| | - Bing Luo
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
| | - Laila Poisson
- Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Ning Wen
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
- SJTU-Ruijin-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China
| | | | - Ruchika Verma
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
- Case Western Reserve University, Cleveland, OH, USA
| | - Rohan Bareja
- Case Western Reserve University, Cleveland, OH, USA
| | - Ipsa Yadav
- Case Western Reserve University, Cleveland, OH, USA
| | | | - Neeraj Kumar
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Sebastian R van der Voort
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Ahmed Alafandi
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Fatih Incekara
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Maarten M J Wijnenga
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Georgios Kapsas
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Renske Gahrmann
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Joost W Schouten
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Hendrikus J Dubbink
- Department of Pathology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Arnaud J P E Vincent
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Martin J van den Bent
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Pim J French
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Stefan Klein
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
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- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
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- Translation Radiomics, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
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- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Luxembourg Center of Neuropathology, Laboratoire National De Santé, Luxembourg, Luxembourg
| | - Martin Vallières
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - David Fortin
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Division of Neurosurgery and Neuro-Oncology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Martin Lepage
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Department of Nuclear Medicine and Radiobiology, Sherbrooke Molecular Imaging Centre, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Bennett Landman
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Karthik Ramadass
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kaiwen Xu
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Silky Chotai
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lola B Chambless
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Akshitkumar Mistry
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reid C Thompson
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuriy Gusev
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Krithika Bhuvaneshwar
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anousheh Sayah
- Division of Neuroradiology & Neurointerventional Radiology, Department of Radiology, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Camelia Bencheqroun
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anas Belouali
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Subha Madhavan
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Thomas C Booth
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Neuroradiology, Ruskin Wing, King's College Hospital NHS Foundation Trust, London, UK
| | - Alysha Chelliah
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Marc Modat
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Haris Shuaib
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Carmen Dragos
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
| | | | | | | | | | - Shady Gamal
- University of Cairo School of Medicine, Giza, Egypt
| | | | | | | | - Ji Eun Park
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Jihye Yun
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Ho Sung Kim
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Abhishek Mahajan
- The Clatterbridge Cancer Centre NHS Foundation Trust Pembroke Place, Liverpool, UK
| | - Mark Muzi
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Sean Benson
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands
- GROW School of Oncology and Developmental Biology, Maastricht, Netherlands
| | - Jonas Teuwen
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | | | - William Escobar
- Clínica Imbanaco Grupo Quirón Salud, Cali, Colombia
- Universidad del Valle, Cali, Colombia
| | | | - Jose Bernal
- Universidad del Valle, Cali, Colombia
- The University of Edinburgh, Edinburgh, UK
| | | | - Joseph Choi
- Department of Industrial and Systems Engineering, University of Iowa, Iowa, USA
| | - Stephen Baek
- Department of Industrial and Systems Engineering, Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Yusung Kim
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Heba Ismael
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Bryan Allen
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - John M Buatti
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | | | - Hongwei Li
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Andrea Bink
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Bertrand Pouymayou
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | | | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Prateek Prasanna
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Sampurna Shrestha
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Kartik M Mani
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Department of Radiation Oncology, Stony Brook University, Stony Brook, NY, USA
| | - David Payne
- Department of Radiology, Stony Brook University, Stony Brook, NY, USA
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Scientific Data Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Enrique Pelaez
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | - Francis Loayza
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | | | | | | | - Franco Vera
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Elvis Ríos
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Eduardo López
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Sergio A Velastin
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Godwin Ogbole
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mayowa Soneye
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Dotun Oyekunle
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | | | - Babatunde Osobu
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mustapha Shu'aibu
- Department of Radiology, Muhammad Abdullahi Wase Teaching Hospital, Kano, Nigeria
| | - Adeleye Dorcas
- Department of Radiology, Obafemi Awolowo University Ile-Ife, Ile-Ife, Osun, Nigeria
| | - Farouk Dako
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amber L Simpson
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Mohammad Hamghalam
- School of Computing, Queen's University, Kingston, ON, Canada
- Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
| | - Jacob J Peoples
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Ricky Hu
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Anh Tran
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Danielle Cutler
- The Faculty of Arts & Sciences, Queen's University, Kingston, ON, Canada
| | - Fabio Y Moraes
- Department of Oncology, Queen's University, Kingston, ON, Canada
| | - Michael A Boss
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - James Gimpel
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Deepak Kattil Veettil
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Kendall Schmidt
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Brian Bialecki
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Sailaja Marella
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Cynthia Price
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Lisa Cimino
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Charles Apgar
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | | | - Bjoern Menze
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Jill S Barnholtz-Sloan
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
- Center for Biomedical Informatics and Information Technology, National Cancer Institute (NCI), National Institute of Health, Bethesda, MD, USA
| | | | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Chaumette B, Sengupta SM, Lepage M, Malla A, Iyer SN, Kebir O, Dion PA, Rouleau GA, Krebs MO, Shah JL, Joober R. A polymorphism in the glutamate metabotropic receptor 7 is associated with cognitive deficits in the early phases of psychosis. Schizophr Res 2022; 249:56-62. [PMID: 32624350 DOI: 10.1016/j.schres.2020.06.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 06/17/2020] [Accepted: 06/19/2020] [Indexed: 02/08/2023]
Abstract
Schizophrenia is an illness characterized by positive symptoms, negative symptoms, and cognitive impairments. Cognitive impairments occur before the onset of psychosis and could reflect glutamatergic dysregulation. Thus, identifying associations between genetic variations in genes coding for glutamatergic receptors and cognitive impairment in schizophrenia may help in understanding the basis of these deficits and in identifying potential drug targets. In a discovery cohort of 144 first-episode of psychosis patients (FEP), we genotyped 58 candidate Single Nucleotide Polymorphisms (SNPs) located in NMDA and metabotropic glutamatergic receptors. These SNPs were selected according to the results from the Psychiatric Genomic Consortium and were tested for association with intellectual quotient (IQ) as assessed with the Wechsler Intelligence Scales. For replication, we used the ICAAR cohort including 121 ultra-high-risk patients (UHR) with the same cognitive assessment. A polymorphism located in GRM7, rs1396409, was significantly associated with performance IQ in the discovery cohort of FEP. This association was replicated in the UHR cohort. This polymorphism is also associated with total IQ and verbal IQ in the merged dataset, with a predominant effect on the arithmetic subtest. The rs1396409 polymorphism is significantly associated with cognitive impairment during the onset of psychosis. This genetic association highlights the possible impact of glutamatergic genes in cognitive deficits in the early phases of psychosis and enforces the interest for new therapeutic interventions targeting the glutamatergic pathway.
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Affiliation(s)
- Boris Chaumette
- Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada; Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, CNRS, GDR3557-Institut de Psychiatrie, Paris, France; GHU Paris Psychiatrie et Neurosciences, Paris, France; Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
| | - Sarojini M Sengupta
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Ashok Malla
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Srividya N Iyer
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Oussama Kebir
- Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, CNRS, GDR3557-Institut de Psychiatrie, Paris, France; GHU Paris Psychiatrie et Neurosciences, Paris, France
| | | | - Patrick A Dion
- Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Guy A Rouleau
- Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Marie-Odile Krebs
- Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, CNRS, GDR3557-Institut de Psychiatrie, Paris, France; GHU Paris Psychiatrie et Neurosciences, Paris, France
| | - Jai L Shah
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Ridha Joober
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
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Unrau J, Percie du Sert O, Joober R, Malla A, Lepage M, Raucher-Chéné D. Subtyping negative symptoms in first-episode psychosis: Contrasting persistent negative symptoms with a data-driven approach. Schizophr Res 2022; 248:219-227. [PMID: 36108466 DOI: 10.1016/j.schres.2022.09.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 08/04/2022] [Accepted: 09/04/2022] [Indexed: 10/14/2022]
Abstract
Persistent negative symptoms (PNS) are linked to poor functional outcomes and may be primary or caused by secondary factors. Although several studies have examined PNS in first-episode psychosis (FEP), a comparison with a data-driven approach is lacking. Here, we compared clinically defined PNS subgroups with class trajectories identified through latent growth modeling (LGM). Patients admitted to an early intervention service (N = 392) were classified as PNS (n = 105), secondary PNS (sPNS; n = 74), or non-PNS (n = 213) based on longitudinal data collected six to twelve months after admission. LGM was used to stratify patients based on similar negative symptom course over the same time period. Using multiple linear regression, we assessed the utility of both approaches in predicting Social and Occupational Functioning Assessment Scale (SOFAS) scores at two-year follow-up. Three negative symptom trajectories were identified: low and remitting (LR; n = 158), moderate and improving (MI; n = 163) and delayed partial response (DR; n = 71). Most non-PNS patients followed the LR trajectory, while patients with PNS or sPNS were generally divided between MI and DR. Both PNS classification and trajectory membership were significant predictors of two-year functional outcomes; the DR and MI trajectories predicted greater increases in SOFAS scores (DR: b = -19.14; MI: b = -11.54) than either sPNS (b = -9.19) or PNS (b = -6.46). These findings demonstrate that combining PNS and symptom-based stratification can predict functional outcomes more accurately than either taxonomy alone. Such a combined approach could yield significant advances in developing more targeted interventions for patients at risk for poor functional outcomes.
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Affiliation(s)
- Joshua Unrau
- Douglas Mental Health University Institute, Montreal, Canada; Department of Psychology, McGill University, Montreal, Canada
| | - Olivier Percie du Sert
- Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada
| | - Ridha Joober
- Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada
| | - Ashok Malla
- Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, Montreal, Canada; Department of Psychology, McGill University, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada.
| | - Delphine Raucher-Chéné
- Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada; University of Reims Champagne-Ardenne, Cognition, Health, and Society Laboratory (EA 6291), Reims, France; Academic Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France
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Sauvé G, Buck G, Lepage M, Corbière M. Minds@Work: A New Manualized Intervention to Improve Job Tenure in Psychosis Based on Scoping Review and Logic Model. J Occup Rehabil 2022; 32:515-528. [PMID: 34331191 DOI: 10.1007/s10926-021-09995-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/05/2021] [Indexed: 06/13/2023]
Abstract
Introduction A significant proportion of people experiencing psychosis are unemployed, despite a strong desire to work. Current supported employment programs appear effective in helping them obtain employment, yet job tenure remains an arduous challenge. The objective of this study was to review the literature and model the results to inform the development of a new manualized group psychosocial intervention-'Minds@Work'-aimed specifically at improving job tenure in psychosis. Methods The study was registered on the Open Science Framework platform ( https://osf.io/he68z ). The literature was searched in Medline, Embase, PsycInfo and Cochrane Library databases for studies examining predictors of job tenure in psychosis and existing occupational psychosocial interventions. Data were extracted using a pre-established form and synthesized using logic models. Results A total of 94 studies were included and their findings were modeled using different categories: intervention typologies, mechanisms of action, predictors of job tenure, outcomes and contextual factors. The 'Minds@Work' program was built based on these modeled findings and aimed to target specific predictors of job tenure while addressing some of the limitations of existing interventions. The program uses evidence-based techniques and is divided into 9 modules covering 4 themes: positive psychology (motivation, character strengths, self-compassion), neurocognitive remediation (attention, memory, problem-solving), cognitive biases training (jumping to conclusions, defeatists beliefs, theory of mind, attributional styles) and socioemotional coping skills (emotion regulation, communication). Conclusions Once validated, this new program is meant to be used either as a stand-alone intervention or integrated in supported employment initiatives, by employment specialists or healthcare workers.
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Affiliation(s)
- Geneviève Sauvé
- Department of Psychology, Université du Québec À Montréal, 100 Sherbrooke West, Montreal, QC, H2X 3P2, Canada
| | - Gabriella Buck
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Montreal, QC, H4H 1R3, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Montreal, QC, H4H 1R3, Canada
- Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, QC, H3A 1A1, Canada
| | - Marc Corbière
- Centre de Recherche de L'Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC, H1N 3V2, Canada.
- Department of Education - Career Counselling, Université du Québec À Montréal, Pavilion N, 1205 Saint-Denis, Montreal, QC, H2X 3R9, Canada.
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Raucher-Chéné D, Pochiet G, Lavigne KM, Heinrichs RW, Malla A, Joober R, Lepage M. Normal-range verbal memory in the first-episode of psychosis: Clinical and functional outcomes across 24 months and impact of estimated verbal memory decrement. Schizophr Res 2022; 246:75-84. [PMID: 35728419 DOI: 10.1016/j.schres.2022.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 05/18/2022] [Accepted: 06/11/2022] [Indexed: 11/16/2022]
Abstract
Verbal memory (VM) dysfunction is prevalent in first-episode psychosis (FEP) and has major impacts on long-term functional and clinical outcomes. Nevertheless, a substantial proportion of FEP patients have VM performance in the norm, called normal-range (NR) VM, and only a few studies have explored its relation to outcomes. Moreover, probable decrements between estimated premorbid and current cognitive performance could confuse the relationship between VM and clinical or functional outcomes in FEP patients. These potential interactions have not yet been considered in FEP, thus, we examined 1) the longitudinal relationship between VM performance (NR vs. below NR (BNR)) in FEP and clinical and functional outcomes over 24 months following admission to treatment, and 2) compared the clinical and functional status of NR patients with and without cognitive decrement at baseline and 12 months. A total of 271 patients (BNR = 114, NR = 157; 81 out of 105 NR with decrement) completed measures of psychosocial functioning and clinical symptoms at baseline, month 12, and month 24. Generalized Estimating Equations and unpaired t-tests were used to address the first and second aim, respectively. NR demonstrated better functioning and fewer negative symptoms when compared to BNR. Interestingly, NR patients with decrement reported significantly more negative symptoms at baseline compared to their counterparts without decrement. These findings document that a large proportion (57.9 %) of FEP patients have NR VM that appear to be functionally advantageous but that NR VM is nuanced by the presence or absence of a potential decrement early in the developmental course of the disorder.
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Affiliation(s)
- Delphine Raucher-Chéné
- Douglas Mental Health University Institute, McGill University, Montreal, Canada; Academic Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France; Cognition, Health, and Society Laboratory (EA 6291), University of Reims Champagne-Ardenne, Reims, France
| | - Gabrielle Pochiet
- Douglas Mental Health University Institute, McGill University, Montreal, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Canada
| | - Katie M Lavigne
- Douglas Mental Health University Institute, McGill University, Montreal, Canada; Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada
| | | | - Ashok Malla
- Douglas Mental Health University Institute, McGill University, Montreal, Canada; Prevention and Early Intervention Program for Psychoses (PEPP - Montreal), Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada
| | - Ridha Joober
- Douglas Mental Health University Institute, McGill University, Montreal, Canada; Prevention and Early Intervention Program for Psychoses (PEPP - Montreal), Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, McGill University, Montreal, Canada; Prevention and Early Intervention Program for Psychoses (PEPP - Montreal), Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada.
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Raucher-Chéné D, Lavigne KM, Lepage M. Episodic Memory and Schizophrenia: From Characterization of Relational Memory Impairments to Neuroimaging Biomarkers. Curr Top Behav Neurosci 2022; 63:115-136. [PMID: 35902545 DOI: 10.1007/7854_2022_379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Episodic memory research in schizophrenia has a long history already which has clearly established significant impairments and strong associations with brain measures and functional outcome. The purpose of this chapter is not to make an exhaustive review of the recent literature but to highlight some relatively recent developments in the cognitive neuroscience field of episodic memory and schizophrenia. Hence, we present a contemporary view focusing specifically of relational memory which represents a form of episodic memory that refers to associations or binding among items or elements presented together. We describe the major tasks used and illustrate how their combination with brain imaging has: (1) favored the use of experimental memory tasks to isolate specific processes with specific neural correlates, (2) led to a distributed view of the neural correlates of memory impairments in schizophrenia where multiple regions are contributing, and (3) made possible the identification of fMRI biomarkers specific to episodic memory. We then briefly propose what we see as the next steps for memory research in schizophrenia so that the impact of this work can be maximized.
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Affiliation(s)
- Delphine Raucher-Chéné
- Cognition, Health, and Society Laboratory (EA 6291), University of Reims Champagne-Ardenne, Reims, France.,Academic Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France
| | - Katie M Lavigne
- Douglas Research Centre, Verdun, QC, Canada.,Department of Psychiatry, McGill University, Montréal, QC, Canada.,McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Martin Lepage
- Douglas Research Centre, Verdun, QC, Canada. .,Department of Psychiatry, McGill University, Montréal, QC, Canada.
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Lavigne KM, Raucher-Chéné D, Bodnar MD, Makowski C, Joober R, Malla A, Evans AC, Lepage M. Medial temporal lobe and basal ganglia volume trajectories in persistent negative symptoms following a first episode of psychosis. Prog Neuropsychopharmacol Biol Psychiatry 2022; 117:110551. [PMID: 35304154 DOI: 10.1016/j.pnpbp.2022.110551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/04/2022] [Accepted: 03/11/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND Persistent negative symptoms (PNS, e.g., avolition, anhedonia, alogia) are present in up to 30% of individuals diagnosed with a first episode of psychosis and greatly impact functional outcomes. PNS and secondary PNS (sPNS: concomitant with positive, depressive, or extrapyramidal symptoms) may index distinct pathophysiologies reflected by structural brain changes, particularly in the medial temporal lobe (MTL) and basal ganglia. AIMS We sought to characterize dynamic brain changes related to PNS over the course of 2 years following a first episode of psychosis. METHOD Longitudinal volumetric trajectories within the MTL (hippocampus, parahippocampal gyrus, entorhinal cortex, perirhinal cortex) and basal ganglia (caudate, putamen, pallidum) were investigated in 98 patients with first-episode psychosis and 86 healthy controls using generalized estimating equations. RESULTS In left hippocampus, PNS (n = 25 at baseline) showed decreased volumes over time, sPNS (n = 26) volumes remained stable, and non-PNS (n = 47) volumes increased over time to control levels. PNS-specific changes were observed in left hippocampus and left perirhinal cortex, with the greatest decline from 12 to 24 months to levels significantly below those of non-PNS and controls. Affective/non-affective diagnosis, antipsychotic medication dosage and adherence at baseline did not significantly impact these findings. Basal ganglia volume trajectories did not distinguish between PNS and sPNS. CONCLUSIONS The current study highlights distinct structural brain trajectories in PNS that are prominent in the left MTL. Basal ganglia alterations may contribute to PNS irrespective of their etiology. Left MTL volume reductions were most evident after 1 year of treatment, highlighting the importance of targeted early interventions.
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Affiliation(s)
- Katie M Lavigne
- Douglas Mental Health University Institute, McGill University, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada; McGill Centre for Integrative Neuroscience, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Delphine Raucher-Chéné
- Douglas Mental Health University Institute, McGill University, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada; Cognition, Health, and Society Laboratory (EA 6291), University of Reims Champagne-Ardenne, Reims, France; Academic Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France
| | | | - Carolina Makowski
- Department of Radiology, University of California San Diego, La Jolla, CA, United States of America
| | - Ridha Joober
- Douglas Mental Health University Institute, McGill University, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada
| | - Ashok Malla
- Douglas Mental Health University Institute, McGill University, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada
| | - Alan C Evans
- Department of Psychiatry, McGill University, Montreal, Canada; McGill Centre for Integrative Neuroscience, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada; Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, McGill University, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada.
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Raucher-Chéné D, Lavigne KM, Makowski C, Lepage M. Altered Surface Area Covariance in the Mentalizing Network in Schizophrenia: Insight Into Theory of Mind Processing. Biol Psychiatry Cogn Neurosci Neuroimaging 2022; 7:706-715. [PMID: 32919946 DOI: 10.1016/j.bpsc.2020.06.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 06/29/2020] [Accepted: 06/30/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Theory of mind (ToM), the cognitive capacity to attribute mental states to self and others, is robustly affected in schizophrenia. The neural substrates of ToM impairment have been largely studied with functional imaging, but little is known about structural abnormalities. We compared structural covariance (between-subjects correlations of brain regional measures) of magnetic resonance imaging-based cortical surface area between patients with schizophrenia and healthy control subjects and between schizophrenia subgroups based on the patients' ToM ability to examine ToM-specific effects on structural covariance in schizophrenia. METHODS T1-weighted structural images were acquired on a 3T magnetic resonance imaging scanner, and ToM was assessed with the Hinting Task for 104 patients with schizophrenia and 69 healthy control subjects. The sum of surface area was computed for 12 regions of interest selected and compared between groups to examine structural covariance within the often reported mentalizing network: rostral and caudal middle frontal gyrus, inferior parietal lobule, precuneus, and middle and superior temporal gyrus. High and low ToM groups were defined using a median split on the Hinting Task. RESULTS Cortical surface contraction was observed in the schizophrenia group, predominantly in temporoparietal regions. Patients with schizophrenia also exhibited significantly stronger covariance between the right rostral middle frontal gyrus and the right superior temporal gyrus than control subjects (r = 4.015; p < .001). Direct comparisons between high and low ToM subgroups revealed stronger contralateral frontotemporal covariances in the low ToM group. CONCLUSIONS Our results provide evidence for structural changes underlying ToM impairments in schizophrenia that need to be confirmed to develop new therapeutic perspectives.
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Affiliation(s)
- Delphine Raucher-Chéné
- Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Cognition, Health, and Society Laboratory EA 6291, University of Reims Champagne-Ardenne, Reims, France; Academic Department of Psychiatry, University Hospital of Reims, Etablissement Public de Santé Mentale de la Marne, Reims, France
| | - Katie M Lavigne
- Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Carolina Makowski
- Center for Multimodal Imaging and Genetics, University of California, San Diego School of Medicine, La Jolla, California; Department of Radiology, University of California, San Diego School of Medicine, La Jolla, California
| | - Martin Lepage
- Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
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Buck G, Makowski C, Chakravarty MM, Misic B, Joober R, Malla A, Lepage M, Lavigne KM. Sex-specific associations in verbal memory brain circuitry in early psychosis. J Psychiatr Res 2022; 151:411-418. [PMID: 35594601 DOI: 10.1016/j.jpsychires.2022.05.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 04/08/2022] [Accepted: 05/09/2022] [Indexed: 01/18/2023]
Abstract
Hippocampal circuitry and related cortical connections are altered in first episode psychosis (FEP) and are associated with verbal memory deficits, as well as positive and negative symptoms. There are robust sex differences in the clinical presentation of psychosis, including poorer verbal memory in male patients. Consideration of sex differences in hippocampal-cortical circuitry and their associations with different behavioral dimensions may be useful for understanding the underlying pathophysiology of verbal memory deficits and related symptomatology in psychosis. Here, we use a data-driven approach to simultaneously capture the complex links between sex, verbal memory, symptoms, and cortical-hippocampal brain metrics in FEP. Structural magnetic resonance imaging and behavioral data were acquired from 100 FEP patients (75 males, 25 females) and 87 controls (55 males, 32 females). Multivariate brain-behavior associations were examined in FEP using partial least squares to map sociodemographic, verbal memory, and clinical data onto brain morphometry. The analysis identified two sex-dependent patterns of verbal memory, symptoms, and brain structure. In male patients, verbal memory deficits and core psychotic symptoms were associated with both increased and decreased frontal and temporal cortical thickness and reductions in CA2/3 hippocampal subfield and fornix volumes. In female patients, fewer negative/depressive symptoms were associated with a more attenuated cortical thickness pattern and more diffuse reductions in hippocampal white matter regions. Taken together, the results contribute towards better understanding the underlying pathophysiology of psychosis by highlighting the unique contribution of specific hippocampal subfields and surrounding white matter and their connections with broader cortical networks in a sex-dependent manner.
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Affiliation(s)
- Gabriella Buck
- Douglas Mental Health University Institute, Montréal, Québec, Canada
| | - Carolina Makowski
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - M Mallar Chakravarty
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montréal, Canada; Department of Biological and Biomedical Engineering, McGill University, Montréal, Canada
| | - Bratislav Misic
- Montreal Neurological Institute, McGill University, Montréal, Québec, Canada; Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montréal, Canada
| | - Ridha Joober
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Ashok Malla
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Katie M Lavigne
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Montreal Neurological Institute, McGill University, Montréal, Québec, Canada.
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Mendelson D, Thibaudeau É, Sauvé G, Lavigne KM, Bowie CR, Menon M, Woodward TS, Lepage M, Raucher-Chéné D. Remote group therapies for cognitive health in schizophrenia-spectrum disorders: Feasible, acceptable, engaging. Schizophr Res Cogn 2022; 28:100230. [PMID: 35242604 PMCID: PMC8861418 DOI: 10.1016/j.scog.2021.100230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/29/2021] [Accepted: 11/29/2021] [Indexed: 10/27/2022]
Abstract
Severe cognitive impairments and cognitive distortions are core to schizophrenia-spectrum disorders (SSDs) and are associated with deteriorated social functioning. Despite well-established efficacy of group psychosocial therapies targeting cognitive health in SSDs, dissemination of these programs remains limited. Remote delivery offers a promising strategy for increasing the programs' accessibility. Yet, little research has evaluated group therapies for cognitive health delivered in this way. Thus, we aimed to assess, from participants' and therapists' perspectives, the feasibility, acceptability, as well as levels and process of engagement in a videoconference delivery of group psychosocial therapies for SSD patients' cognitive health. Participants, outpatients, attended Action Based Cognitive Remediation or Metacognitive Training, both adapted for videoconference. Then, participants and therapists completed post-therapy questionnaires. Of the 28 participants attending at least one session, 75% completed more than half of sessions and seven dropped out. Technology did not appear to significantly hinder participation in the programs. All completing participants reported a positive experience with therapy, 67% were not bothered by the distance from the therapist, and 77% trusted that the information shared was kept confidential. Therapist-rated levels of attention M = 7.5/9 (SD = 1.04), participation M = 6.91/9 (SD = 1.32), and social interactions M = 5.31/9 (SD = 1.96) were satisfactory. Nonetheless, participants indicated that they would have appreciated more social interactions with group members. These positive results validate the earliest stage in the implementation process for remote group therapies targeting cognitive health in SSDs. Remote delivery promises to improve access to therapies targeting cognitive health and, ultimately, facilitate functional recovery for SSD patients.
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Affiliation(s)
- Daniel Mendelson
- Douglas Mental Health University Institute, Montréal, QC, Canada.,Department of Psychology, McGill University, Montréal, QC, Canada
| | - Élisabeth Thibaudeau
- Douglas Mental Health University Institute, Montréal, QC, Canada.,Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Geneviève Sauvé
- Douglas Mental Health University Institute, Montréal, QC, Canada.,Department of Education and Pedagogy, Université du Québec à Montréal, Montréal, QC, Canada
| | - Katie M Lavigne
- Douglas Mental Health University Institute, Montréal, QC, Canada.,Montreal Neurological Institute, Montréal, QC, Canada
| | | | - Mahesh Menon
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,Vancouver Coastal Health, Vancouver, BC, Canada
| | - Todd S Woodward
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,BC Mental Health and Addiction Research Institute, Vancouver, BC, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, Montréal, QC, Canada.,Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Delphine Raucher-Chéné
- Douglas Mental Health University Institute, Montréal, QC, Canada.,Cognition, Health, and Society Laboratory (EA 6291), University of Reims Champagne-Ardenne, Reims, France.,Academic Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France
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Fouquet JP, Sikpa D, Lebel R, Sibgatulin R, Krämer M, Herrmann KH, Deistung A, Tremblay L, Reichenbach JR, Lepage M. Characterization of microparticles of iron oxide for magnetic resonance imaging. Magn Reson Imaging 2022; 92:67-81. [DOI: 10.1016/j.mri.2022.05.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 03/07/2022] [Accepted: 05/24/2022] [Indexed: 11/27/2022]
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Penney D, Sauvé G, Mendelson D, Thibaudeau É, Moritz S, Lepage M. Immediate and Sustained Outcomes and Moderators Associated With Metacognitive Training for Psychosis: A Systematic Review and Meta-analysis. JAMA Psychiatry 2022; 79:417-429. [PMID: 35320347 PMCID: PMC8943641 DOI: 10.1001/jamapsychiatry.2022.0277] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE A substantial increase in the number of trials examining metacognitive training (MCT) for psychosis necessitates an updated examination of the outcomes associated with MCT. OBJECTIVES To review the immediate and sustained associations of MCT with proximal (directly targeted) and distal (indirectly influenced) outcomes and assess treatment- and participant-related moderators to identify the potential factors associated with the expected heterogeneity of effect sizes. DATA SOURCES Eleven electronic databases were searched from 2007 to June 3, 2021 (alert until September 10, 2021). Reference lists of earlier meta-analyses and included reports were screened. STUDY SELECTION Reports examined MCT and included participants with schizophrenia spectrum and related psychotic disorders (1045 reports identified; 281 assessed). There were no age, sex, gender, race and ethnicity, language, or study design restrictions. Two reviewers performed the selection of studies to be analyzed. DATA EXTRACTION AND SYNTHESIS The Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guideline was followed. Data were extracted by 3 reviewers and pooled using random effects models. Hedges g effect sizes were computed. The Mixed-Methods Appraisal tool was used to assess study quality. MAIN OUTCOMES AND MEASURES Proximal outcomes were global positive symptoms, delusions, hallucinations, and cognitive biases. Distal outcomes were self-esteem, negative symptoms, quality of life, well-being, and functioning. Immediate and sustained outcomes were examined. Meta-regressions, subgroup, and sensitivity analyses assessed moderators. RESULTS This systematic review and meta-analysis included 43 studies (46 reports). Forty reports were synthesized in meta-analysis (N=1816 participants) and 6 reports were included in narrative review. In the studies examined, MCT was associated with positive symptoms (g = 0.50; 95% CI, 0.34-0.67), delusions (g = 0.69; 95% CI, 0.45-0.93), hallucinations (g = 0.26; 95% CI, 0.11-0.40), cognitive biases (g = 0.16; 95% CI, 0.03-0.29), self-esteem (g = 0.17; 95% CI, 0.03-0.31), negative symptoms (g = 0.23; 95% CI, 0.10-0.37), and functioning (g = 0.41; 95% CI, 0.12-0.69). These associations were maintained up to 1 year. The quality of life effect size was nonsignificant (g = 0.20; 95% CI, -0.07 to 0.47); only 1 study assessed well-being. Publication year was associated with moderated hallucinations (β = 0.04; 95% CI, 0.00-0.07). Overall, narrative review results corroborated meta-analytic findings. CONCLUSIONS AND RELEVANCE In this meta-analysis, MCT for psychosis was associated with benefits up to 1 year postintervention in several treatment contexts. These findings suggest that MCT may merit integration in treatment guidelines for schizophrenia.
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Affiliation(s)
- Danielle Penney
- Douglas Mental Health University Institute, Montréal, Québec, Canada,Department of Psychology, Université du Québec à Montréal, Montréal, Québec, Canada
| | - Geneviève Sauvé
- Douglas Mental Health University Institute, Montréal, Québec, Canada,Department of Education and Pedagogy, Université du Québec à Montréal, Montréal, Québec, Canada
| | - Daniel Mendelson
- Douglas Mental Health University Institute, Montréal, Québec, Canada,Department of Psychology, McGill University, Montréal, Québec, Canada
| | - Élisabeth Thibaudeau
- Douglas Mental Health University Institute, Montréal, Québec, Canada,Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Steffen Moritz
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg, Hamburg, Germany
| | - Martin Lepage
- Douglas Mental Health University Institute, Montréal, Québec, Canada,Department of Psychiatry, McGill University, Montréal, Québec, Canada
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Lecomte T, Addington J, Bowie C, Lepage M, Potvin S, Shah J, Summerville C, Tibbo P. The Canadian Network for Research in Schizophrenia and Psychoses: A Nationally Focused Approach to Psychosis and Schizophrenia Research. Can J Psychiatry 2022; 67:172-175. [PMID: 33871307 PMCID: PMC8935527 DOI: 10.1177/07067437211009122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Tania Lecomte
- Department of Psychology, University of Montreal, Quebec, Canada
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Alberta, Canada
| | - Chris Bowie
- Department of Psychology, Queen's University, Kingston, Ontario, Canada
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Stéphane Potvin
- Department of Psychiatry and Addictology, University of Montreal, Quebec, Canada
| | - Jai Shah
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | | | - Phil Tibbo
- Department of Psychiatry, University of Dalhousie, Halifax, Nova Scotia, Canada
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Ye RZ, Noll C, Richard G, Lepage M, Turcotte ÉE, Carpentier AC. DeepImageTranslator: A free, user-friendly graphical interface for image translation using deep-learning and its applications in 3D CT image analysis. SLAS Technol 2022; 27:76-84. [PMID: 35058205 DOI: 10.1016/j.slast.2021.10.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The advent of deep-learning has set new standards in an array of image translation applications. At present, the use of these methods often requires computer programming experience. Non-commercial programs with graphical interface usually do not allow users to fully customize their deep-learning pipeline. Therefore, our primary objective is to provide a simple graphical interface that allows researchers with no programming experience to easily create, train, and evaluate custom deep-learning models for image translation. We also aimed to test the applicability of our tool in CT image semantic segmentation and noise reduction. DeepImageTranslator was implemented using the Tkinter library, the standard Python interface to the Tk graphical user interface toolkit; backend computations were implemented using data augmentation packages such as Pillow, Numpy, OpenCV, Augmentor, Tensorflow, and Keras libraries. Convolutional neural networks (CNNs) were trained using DeepImageTranslator. The effects of data augmentation, deep-supervision, and sample size on model accuracy were also systematically assessed. The DeepImageTranslator a simple tool that allows users to customize all aspects of their deep-learning pipeline, including the CNN, training optimizer, loss function, and the types of training image augmentation scheme. We showed that DeepImageTranslator can be used to achieve state-of-the-art accuracy and generalizability in semantic segmentation and noise reduction. Highly accurate 3D segmentation models for body composition can be obtained using training sample sizes as small as 17 images. In conclusion, an open-source deep-learning tool for accurate image translation with a user-friendly graphical interface was presented and evaluated. This standalone software can be downloaded at: https://sourceforge.net/projects/deepimagetranslator/.
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Affiliation(s)
- Run Zhou Ye
- Division of Endocrinology, Department of Medicine, Centre de recherche du Centre hospitalier universitaire de Sherbrooke, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Christophe Noll
- Division of Endocrinology, Department of Medicine, Centre de recherche du Centre hospitalier universitaire de Sherbrooke, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Gabriel Richard
- Sherbrooke Molecular Imaging Center, Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Martin Lepage
- Sherbrooke Molecular Imaging Center, Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Éric E Turcotte
- Department of Nuclear Medicine and Radiobiology, Centre d'Imagerie Moléculaire de Sherbrooke, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - André C Carpentier
- Division of Endocrinology, Department of Medicine, Centre de recherche du Centre hospitalier universitaire de Sherbrooke, Université de Sherbrooke, Sherbrooke, Quebec, Canada.
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Lal S, Gleeson JF, D'Alfonso S, Etienne G, Joober R, Lepage M, Lee H, Alvarez-Jimenez M. A Digital Health Innovation to Prevent Relapse and Support Recovery in Youth Receiving Specialized Services for First-Episode Psychosis: Protocol for a Pilot Pre-Post, Mixed Methods Study of Horyzons-Canada (Phase 2). JMIR Res Protoc 2021; 10:e28141. [PMID: 34879000 PMCID: PMC8693205 DOI: 10.2196/28141] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 08/18/2021] [Accepted: 09/07/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Psychotic disorders are among the most disabling of all mental disorders. The first-episode psychosis (FEP) often occurs during adolescence or young adulthood. Young people experiencing FEP often face multiple barriers in accessing a comprehensive range of psychosocial services, which have predominantly been delivered in person. New models of service delivery that are accessible, sustainable, and engaging are needed to support recovery in youth diagnosed with FEP. OBJECTIVE In this paper, we describe a protocol to implement and evaluate the acceptability, safety, and potential efficacy of an online psychosocial therapeutic intervention designed to sustain recovery and prevent relapses in young adults diagnosed with FEP. This intervention was originally developed and tested in Australia and has been adapted for implementation and evaluation in Canada and is called Horyzons-Canada (HoryzonsCa). METHODS This cohort study is implemented in a single-center and applies a pre-post mixed methods (qualitative-quantitative convergent) design. The study involves recruiting 20 participants from a specialized early intervention program for psychosis located in Montreal, Canada and providing them with access to the HoryzonsCa intervention for 8 weeks. Data collection includes interview-based psychometric measures, self-reports, focus groups, and interviews. RESULTS This study received funding from the Brain and Behavior Research Foundation (United States), the Quebec Health Research Funding Agency (Canada), and the Canada Research Chairs Program. The study was approved by the Research Ethics Board of the Centre intégré universitaire de santé et de services sociaux de l'Ouest-de-l'Île-de-Montréal on April 11, 2018 (#IUSMD 17-54). Data were collected from August 16, 2018, to April 29, 2019, and a final sample of 20 individuals participated in the baseline and follow-up interviews, among which 9 participated in the focus groups. Data analysis and reporting are in process. The results of the study will be submitted for publication in 2021. CONCLUSIONS This study will provide preliminary evidence on the acceptability, safety, and potential efficacy of using a digital health innovation adapted for the Canadian context to deliver specialized mental health services to youth diagnosed with FEP. TRIAL REGISTRATION ISRCTN Registry ISRCTN43182105; https://www.isrctn.com/ISRCTN43182105. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR1-10.2196/28141.
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Affiliation(s)
- Shalini Lal
- School of Rehabilitation, Faculty of Medicine, University of Montréal, Montréal, QC, Canada
- Youth Mental Health and Technology Lab, Health Innovation and Evaluation Hub, University of Montréal Hospital Research Centre, Montréal, QC, Canada
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
- ACCESS Open Minds, Douglas Mental Health University Institute, Montréal, QC, Canada
| | - John F Gleeson
- Healthy Brain and Mind Research Centre and School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, Australia
| | - Simon D'Alfonso
- School of Computing and Information Systems, University of Melbourne, Parkville, Australia
| | - Geraldine Etienne
- ACCESS Open Minds, Douglas Mental Health University Institute, Montréal, QC, Canada
| | - Ridha Joober
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
- ACCESS Open Minds, Douglas Mental Health University Institute, Montréal, QC, Canada
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Martin Lepage
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Montréal, QC, Canada
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Hajin Lee
- School of Rehabilitation, Faculty of Medicine, University of Montréal, Montréal, QC, Canada
- Youth Mental Health and Technology Lab, Health Innovation and Evaluation Hub, University of Montréal Hospital Research Centre, Montréal, QC, Canada
| | - Mario Alvarez-Jimenez
- Centre for Youth Mental Health, University of Melbourne, Parkville, Australia
- Orygen, Parkville, Australia
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Khalil M, Hollander P, Raucher-Chéné D, Lepage M, Lavigne KM. Structural brain correlates of cognitive function in schizophrenia: A meta-analysis. Neurosci Biobehav Rev 2021; 132:37-49. [PMID: 34822878 DOI: 10.1016/j.neubiorev.2021.11.034] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 11/18/2021] [Accepted: 11/21/2021] [Indexed: 12/20/2022]
Abstract
Schizophrenia is characterized by cognitive impairments and widespread structural brain abnormalities. Brain structure-cognition associations have been extensively studied in schizophrenia, typically involving individual cognitive domains or brain regions of interest. Findings in overlapping and diffuse brain regions may point to structural alterations in large-scale brain networks. We performed a systematic review and meta-analysis examining whether brain structure-cognition associations can be explained in terms of biologically meaningful brain networks. Of 7,261 screened articles, 88 were included in a series of meta-analyses assessing publication bias, heterogeneity, and study quality. Significant associations were found between overall brain structure and eight MATRICS-inspired cognitive domains. Brain structure mapped onto the seven Yeo functionally defined networks and extraneous structures (amygdala, hippocampus, and cerebellum) typically showed associations with conceptually related cognitive domains, with higher-level domains (e.g., executive function, social cognition) associated with more networks. These findings synthesize the extensive literature on brain structure and cognition in schizophrenia from a contemporary network neuroscience perspective and suggest that brain structure-cognition associations in schizophrenia may follow functional network architecture.
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Affiliation(s)
- Marianne Khalil
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
| | - Philippine Hollander
- Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Delphine Raucher-Chéné
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France; Cognition, Health, and Society Laboratory (EA 6291), University of Reims, Champagne-Ardenne, Reims, France
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
| | - Katie M Lavigne
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
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Raucher-Chéné D, Thibaudeau E, Sauvé G, Lavigne KM, Lepage M. Understanding others as a mediator between verbal memory and negative symptoms in schizophrenia-spectrum disorder. J Psychiatr Res 2021; 143:429-435. [PMID: 34656875 DOI: 10.1016/j.jpsychires.2021.10.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 10/05/2021] [Accepted: 10/10/2021] [Indexed: 11/17/2022]
Abstract
From the onset of schizophrenia, verbal memory (VM) deficits and negative symptoms are strongly associated, and both additively predict functional outcomes. Emotion recognition (ER) and theory of mind (ToM; the ability to infer others' mental states), two components of social cognition, are also particularly affected in schizophrenia. Explanatory models of negative symptoms have integrated these cognitive impairments as potential precursors and previous studies revealed relationships between ER and/or ToM and VM, as well as with negative symptoms, but the organization of these associations remains unclear. We aimed to determine whether impairments in VM and social cognition sequentially pave the way for negative symptoms in schizophrenia. To this end, we used mediation analyses. One hundred and forty participants with a diagnosis of schizophrenia or schizoaffective disorder were recruited. First, correlational analyses were conducted between our variables of interest. The mediating effect of social cognition between VM and negative symptoms was then examined using the PROCESS macro. Variables of interest were significantly correlated (r = |0.166| to |0.391|), except for ER and negative symptoms. Only the serial multiple mediation model with 2 mediators (ER followed by ToM) revealed a significant indirect effect of VM on negative symptoms (β = - 0.160, 95% CI = -.370 to -.004). This relationship was selective for expressive negative symptoms (e.g., blunted affect and alogia). This study illustrates the richness of the relationship between cognitive deficits and negative symptoms and provides additional information for the involvement of social cognition in negative symptoms' etiology.
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Affiliation(s)
- Delphine Raucher-Chéné
- Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada; Cognition, Health, and Society Laboratory (EA 6291), University of Reims Champagne-Ardenne, Reims, France; Academic Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France
| | - Elisabeth Thibaudeau
- Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada; Department of Education and Pedagogy, Université du Québec À Montréal, Canada
| | - Geneviève Sauvé
- Douglas Mental Health University Institute, Montreal, Canada; Department of Education and Pedagogy, Université du Québec À Montréal, Canada
| | - Katie M Lavigne
- Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada; McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, Montreal, Canada; Department of Psychiatry, McGill University, Montreal, Canada.
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Abstract
INTRODUCTION Relational memory (RM) is severely impaired in schizophrenia. Unitisation can circumvent RM impairments in clinical populations as measured by the transverse-patterning (TP) task, a well-established measure of RM capacity. We compared memory performance on a new ecological RM measure, the Relational Trip Task (RTT), to that of TP at baseline and examined the effects of a unitisation intervention in RTT performance. RTT involves learning relational information of real-life stimuli, such as the relationship between people and places or objects. METHODS TP and RTT performances were examined in 45 individuals with schizophrenia. TP-impaired participants (n = 22) were randomised to either the intervention or an active control group. TP and RTT were administered again after unitisation training. Task validity and reliability were assessed. Intervention group's pre- and post-RTT accuracies were compared and contrasted to that in the control group. RESULTS RTT and TP were moderately correlated. TP non-learners had inferior performance in RTT at baseline. Improvement in RTT performance after unitisation training was observed in the intervention group; no pre-post improvement was observed in the control group. CONCLUSION RTT has an acceptable criterion validity and excellent alternate-form reliability. Unitisation seemed to be successfully generalized to support associations of real-life stimuli.
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Affiliation(s)
- Ana Elisa Sousa
- Douglas Mental Health University Institute, Montreal, QC, Canada.,Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada
| | - Gabrielle Pochiet
- Douglas Mental Health University Institute, Montreal, QC, Canada.,Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada
| | - Jennifer D Ryan
- Rotman Research Institute, Baycrest; Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada
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