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Allott K, Yassin W, Alameda L, Billah T, Borders O, Buccilli K, Carrión RE, Castillo-Passi RI, Cho KIK, Chin K, Coleman MJ, Colton BL, Corral S, Dwyer D, Gundersen KB, Gur RC, Hoftman GD, Jacobs GR, Kelly S, Lewandowski KE, Marcy PJ, Matneja P, McLaughlin D, Nunez AR, Parsa S, Penzel N, Ray S, Reinen JM, Ruparel K, Sand MS, Santorelli G, Seitz-Holland J, Spark J, Tamayo Z, Thompson A, Tod S, Wannan CMJ, Wickham A, Wood SJ, Zoupou E, Addington J, Anticevic A, Arango C, Breitborde NJK, Broome MR, Cadenhead KS, Calkins ME, Chen EYH, Choi J, Conus P, Corcoran CM, Cornblatt BA, Ellman LM, Fusar-Poli P, Gaspar PA, Gerber C, Glenthøj LB, Horton LE, Hui CLM, Kambeitz J, Kambeitz-Ilankovic L, Keshavan M, Kim SW, Koutsouleris N, Kwon JS, Langbein K, Mamah D, Diaz-Caneja CM, Mathalon DH, Mittal VA, Nordentoft M, Pearlson GD, Perkins DO, Perez J, Powers AR, Rogers J, Sabb FW, Schiffman J, Shah JL, Silverstein SM, Smesny S, Strauss GP, Thompson JL, Upthegrove R, Verma SK, Wang J, Wolf DH, Pasternak O, Bouix S, McGorry PD, Kane JM, Kahn RS, Bearden CE, Shenton ME, Woods SW, Nelson B, Stone WS. Cognitive assessment in the Accelerating Medicines Partnership® Schizophrenia Program: harmonization priorities and strategies in a diverse international sample. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2025; 11:49. [PMID: 40128256 PMCID: PMC11933323 DOI: 10.1038/s41537-025-00578-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Accepted: 12/24/2024] [Indexed: 03/26/2025]
Abstract
Cognitive impairment occurs at higher rates in individuals at clinical high risk (CHR) for psychosis relative to healthy peers, and it contributes unique variance to multivariate prediction models of transition to psychosis. Such impairment is considered a core biomarker of schizophrenia. Thus, cognition is a key domain measured in the Accelerating Medicines Partnership® program for Schizophrenia (AMP SCZ initiative). The aim of this paper is to describe the rationale, processes, considerations, and final harmonization of the cognitive battery used in AMP SCZ across the two data collection networks. This battery comprises tests of general intellect and specific cognitive domains. We estimate premorbid intelligence at baseline and measure current intelligence at baseline and 2 years. Eight tests from the Penn Computerized Neurocognitive Battery (PennCNB), which measure verbal learning and memory, sensorimotor ability, attention, emotion recognition, working memory, processing speed, verbal memory, visual memory, and motor speed are administered repeatedly at baseline, and four follow-up timepoints over 2 years.
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Affiliation(s)
- Kelly Allott
- Orygen, Parkville, VIC, Australia.
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.
| | - Walid Yassin
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Luis Alameda
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
| | - Tashrif Billah
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Owen Borders
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kate Buccilli
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Ricardo E Carrión
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, 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, RM, Chile
| | - Kang Ik K Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kota Chin
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Michael J Coleman
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Beau-Luke Colton
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Sebastián Corral
- Department of Psychiatry, University of Chile, Santiago, Chile
- Departamento de Psicologia, Universidad de La Serena, La Serena, Chile
| | - Dominic Dwyer
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Kristina Ballestad Gundersen
- VIRTU Research Group, Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Grace R Jacobs
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sinead Kelly
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kathryn E Lewandowski
- Psychotic Disorders Division, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | | | | | | | - Angela R Nunez
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Setari Parsa
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Nora Penzel
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Susan Ray
- Northwell Health, Glen Oaks, NY, USA
| | - Jenna M Reinen
- IBM Research, Armonk, NY, USA
- T.J. Watson Research Laboratory, Yorktown Heights, NY, USA
| | - Kosha Ruparel
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Gennarina Santorelli
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jessica Spark
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Zailyn Tamayo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew Thompson
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, USA
| | - Sophie Tod
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Cassandra M J Wannan
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Alana Wickham
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephen J Wood
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- School of Psychology, University of Birmingham, Edgbaston, UK
| | - Eirini Zoupou
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Yale University Department of Psychiatry, New Haven, CT, USA
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, ISCIII, School of Medicine, Universidad Complutense, Madrid, Spain
| | | | - Matthew R Broome
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Early Intervention for Psychosis Services, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | | | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Eric Yu Hai Chen
- Department of Psychiatry, School of Clinical Medicine, LKF Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Jimmy Choi
- Olin Neuropsychiatry Research Center, Hartford Health Care Behavioral Health Network, Hartford, CT, 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, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Lauren M Ellman
- Department of Psychology & 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
| | - Pablo A Gaspar
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Carla Gerber
- Prevention Science Institute, University of Oregon, Eugene, OR, USA
- Oregon Research Institute, Springfield, OR, USA
| | - Louise Birkedal Glenthøj
- VIRTU Research Group, Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Leslie E Horton
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Christy Lai Ming Hui
- Department of Psychiatry, School of Clinical Medicine, LKF Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Joseph Kambeitz
- University of Cologne, Faculty of Medicine and University HospitalCologne, Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- University of Cologne, Faculty of Medicine and University HospitalCologne, Cologne, Germany
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
- Mindlink, Gwangju Bukgu Mental Health Center, Gwangju, Republic of Korea
| | - Nikolaos Koutsouleris
- Department of Psychosis Studies, King's College London, London, UK
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kerstin Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Daniel Mamah
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Covadonga M Diaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, ISCIII, School of Medicine, Universidad Complutense, Madrid, Spain
| | - 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
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Chicago, IL, USA
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Jesus Perez
- CAMEO, Early Intervention in Psychosis Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Institute of Biomedical Research (IBSAL), Department of Medicine, Universidad de Salamanca, Salamanca, Spain
| | - Albert R Powers
- Connecticut Mental Health Center, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Jack Rogers
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Fred W Sabb
- Prevention Science Institute, University of Oregon, Eugene, OR, USA
| | - Jason Schiffman
- Department of Psychological Science, University of California, Irvine, CA, USA
| | - Jai L Shah
- PEPP-Montreal, Douglas Research Centre, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Steven M Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | | | - Judy L Thompson
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Rachel Upthegrove
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Swapna K Verma
- Institute of Mental Health, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Sylvain Bouix
- Department of Software Engineering and Information Technology, Ecole de technologie superieure, Montreal, QC, Canada
| | - Patrick D McGorry
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Rene S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences & Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Martha E Shenton
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - Scott W Woods
- Connecticut Mental Health Center, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Barnaby Nelson
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
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2
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Pedruzo B, Aymerich C, Pacho M, Herrero J, Laborda M, Bordenave M, Giuliano AJ, McCutcheon RA, Gutiérrez-Rojas L, McGuire P, Stone WS, Fusar-Poli P, González-Torres MÁ, Catalan A. Longitudinal change in neurocognitive functioning in children and adolescents at clinical high risk for psychosis: a systematic review. Eur Child Adolesc Psychiatry 2024; 33:3377-3387. [PMID: 37199754 PMCID: PMC11564316 DOI: 10.1007/s00787-023-02221-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 04/29/2023] [Indexed: 05/19/2023]
Abstract
Clinical high risk of psychosis (CHR-P) population has become an attractive area of interest in preventing transitions to psychosis. The consequences of developing a psychotic disorder may be worse in cases of early onset. Thus, childhood and adolescence represent a critical developmental window, where opportunities to gain social and adaptive abilities depend on the individuals' neurocognitive performance. There have been previous syntheses of the evidence regarding neurocognitive functioning in CHR-P individuals and its longitudinal changes. However, there has been less focus on children and adolescents at CHR-P. A multistep literature search was performed from database inception until July 15th, 2022. PRIMSA/MOOSE compliant systematic review and PROSPERO protocol were used to identify studies reporting on longitudinal changes in neurocognitive functioning in children and adolescents (mean age of sample ≤ 18 years) at CHR-P and matched healthy control (HC) group. A systematic review of identified studies was then undertaken. Three articles were included, resulting in a total sample size of 151 CHR-P patients [mean (SD) age, 16.48 (2.41) years; 32.45% female] and 64 HC individuals [mean (SD) age, 16.79 (2.38) years; 42.18% female]. CHR-P individuals had worse outcomes in verbal learning, sustained attention and executive functioning domains compared to HC. Individuals taking antidepressants had better outcomes in verbal learning in contrast with those taking antipsychotics. In children and adolescents, neurocognition may be already impaired before the psychosis onset, and remains stable during the transition to psychosis. Further study should be performed to obtain more robust evidence.
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Affiliation(s)
- Borja Pedruzo
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain.
- Neuroscience Department, University of Basque Country (UPV/EHU), Leioa, Spain.
| | - Claudia Aymerich
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
| | - Malein Pacho
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
| | - Jon Herrero
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
| | - María Laborda
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
| | - Marta Bordenave
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
| | - Anthony J Giuliano
- Worcester Recovery Center and Hospital, Massachusetts Department of Mental Health, Boston, USA
| | - Robert A McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | | | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health Research Biomedical Research Centre, London, UK
- Outreach and Support in South London Service, South London and Maudsley National Health Service Foundation Trust, London, UK
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Paolo Fusar-Poli
- National Institute for Health Research Biomedical Research Centre, London, UK
- Outreach and Support in South London Service, South London and Maudsley National Health Service Foundation Trust, London, UK
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Miguel Ángel González-Torres
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
- Neuroscience Department, University of Basque Country (UPV/EHU), Leioa, Spain
- Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
- CIBERSAM. Centro Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Ana Catalan
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Neuroscience Department, University of Basque Country (UPV/EHU), Leioa, Spain
- Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
- CIBERSAM. Centro Investigación Biomédica en Red de Salud Mental, Madrid, Spain
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Yassin W, Green J, Keshavan M, Del Re EC, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Mathalon DH, Perkins DO, Walker EF, Woods SW, Stone WS. Cognitive subtypes in youth at clinical high risk for psychosis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.07.24311240. [PMID: 39211862 PMCID: PMC11361220 DOI: 10.1101/2024.08.07.24311240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Introduction Schizophrenia is a mental health condition that severely impacts well-being. Cognitive impairment is among its core features, often presenting well before the onset of overt psychosis, underscoring a critical need to study it in the psychosis proneness (clinical high risk; CHR) stage, to maximize the benefits of interventions and to improve clinical outcomes. However, given the heterogeneity of cognitive impairment in this population, a one-size-fits-all approach to therapeutic interventions would likely be insufficient. Thus, identifying cognitive subtypes in this population is crucial for tailored and successful therapeutic interventions. Here we identify, validate, and characterize cognitive subtypes in large CHR samples and delineate their baseline and longitudinal cognitive and functional trajectories. Methods Using machine learning, we performed cluster analysis on cognitive measures in a large sample of CHR youth (n = 764), and demographically comparable controls (HC; n = 280) from the North American Prodrome Longitudinal Study (NAPLS) 2, and independently validated our findings with an equally large sample (NAPLS 3; n = 628 CHR, 84 HC). By utilizing several statistical approaches, we compared the clusters on cognition and functioning at baseline, and over 24 months of followup. We further delineate the conversion status within those clusters. Results Two main cognitive clusters were identified, "impaired" and "intact" across all cognitive domains in CHR compared to HC. Baseline differences between the cognitively intact cluster and HC were found in the verbal abilities and attention and working memory domains. Longitudinally, those in the cognitively impaired cluster group demonstrated an overall floor effect and did not deteriorate further over time. However, a "catch up" trajectory was observed in the attention and working memory domain. This group had higher instances of conversion overall, with these converters having significantly more non-affective psychotic disorder diagnosis versus bipolar disorder, than those with intact cognition. In the cognitively intact group, we observed differences in trajectory based on conversion status, where those who start with intact cognition and later convert demonstrate a sharp decline in attention and functioning. Functioning was significantly better in the cognitively intact than in the impaired group at baseline. Most of the cognitive trajectories demonstrate a positive relationship with functional ones. Conclusion Our findings provide evidence for intact and impaired cognitive subtypes in youth at CHR, independent of conversion status. They further indicate that attention and working memory are important to distinguish between the CHR with intact cognition and controls. The cognitively intact CHR group becomes less attentive after conversion, while the cognitively impaired one demonstrates a catch up trajectory on both attention and working memory. Overall, early evaluation, covering several cognitive domains, is crucial for identifying trajectories of improvement and deterioration for the purpose of tailoring intervention for improving outcomes in individuals at CHR for psychosis.
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4
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Hartmann S, Cearns M, Pantelis C, Dwyer D, Cavve B, Byrne E, Scott I, Yuen HP, Gao C, Allott K, Lin A, Wood SJ, Wigman JTW, Amminger GP, McGorry PD, Yung AR, Nelson B, Clark SR. Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients: Data From the PACE 400 Cohort. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:417-428. [PMID: 38052267 DOI: 10.1016/j.bpsc.2023.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/19/2023] [Accepted: 11/26/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Multimodal modeling that combines biological and clinical data shows promise in predicting transition to psychosis in individuals who are at ultra-high risk. Individuals who transition to psychosis are known to have deficits at baseline in cognitive function and reductions in gray matter volume in multiple brain regions identified by magnetic resonance imaging. METHODS In this study, we used Cox proportional hazards regression models to assess the additive predictive value of each modality-cognition, cortical structure information, and the neuroanatomical measure of brain age gap-to a previously developed clinical model using functioning and duration of symptoms prior to service entry as predictors in the Personal Assessment and Crisis Evaluation (PACE) 400 cohort. The PACE 400 study is a well-characterized cohort of Australian youths who were identified as ultra-high risk of transitioning to psychosis using the Comprehensive Assessment of At Risk Mental States (CAARMS) and followed for up to 18 years; it contains clinical data (from N = 416 participants), cognitive data (n = 213), and magnetic resonance imaging cortical parameters extracted using FreeSurfer (n = 231). RESULTS The results showed that neuroimaging, brain age gap, and cognition added marginal predictive information to the previously developed clinical model (fraction of new information: neuroimaging 0%-12%, brain age gap 7%, cognition 0%-16%). CONCLUSIONS In summary, adding a second modality to a clinical risk model predicting the onset of a psychotic disorder in the PACE 400 cohort showed little improvement in the fit of the model for long-term prediction of transition to psychosis.
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Affiliation(s)
- Simon Hartmann
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia; Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia.
| | - Micah Cearns
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Carlton South, Melbourne, Victoria, Australia; Western Centre for Health Research & Education, Western Hospital Sunshine, The University of Melbourne, St. Albans, Victoria, Australia
| | - Dominic Dwyer
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Blake Cavve
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Enda Byrne
- Child Health Research Center, The University of Queensland, Brisbane, Queensland, Australia
| | - Isabelle Scott
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Hok Pan Yuen
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Caroline Gao
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Kelly Allott
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Ashleigh Lin
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Stephen J Wood
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; School of Psychology, The University of Birmingham, Birmingham, England, United Kingdom
| | - Johanna T W Wigman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - G Paul Amminger
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Patrick D McGorry
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Alison R Yung
- Institute for Mental and Physical Health and Clinical Translation, Deakin University, Melbourne, Victoria, Australia
| | - Barnaby Nelson
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Scott R Clark
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
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5
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Catalan A, McCutcheon RA, Aymerich C, Pedruzo B, Radua J, Rodríguez V, Salazar de Pablo G, Pacho M, Pérez JL, Solmi M, McGuire P, Giuliano AJ, Stone WS, Murray RM, Gonzalez-Torres MA, Fusar-Poli P. The magnitude and variability of neurocognitive performance in first-episode psychosis: a systematic review and meta-analysis of longitudinal studies. Transl Psychiatry 2024; 14:15. [PMID: 38191534 PMCID: PMC10774360 DOI: 10.1038/s41398-023-02718-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 12/05/2023] [Accepted: 12/14/2023] [Indexed: 01/10/2024] Open
Abstract
Neurocognitive deficits are a core feature of psychotic disorders, but it is unclear whether they affect all individuals uniformly. The aim of this systematic review and meta-analysis was to synthesize the evidence on the magnitude, progression, and variability of neurocognitive functioning in individuals with first-episode psychosis (FEP). A multistep literature search was conducted in several databases up to November 1, 2022. Original studies reporting on neurocognitive functioning in FEP were included. The researchers extracted the data and clustered the neurocognitive tasks according to the seven Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) domains and six additional domains. Random-effect model meta-analyses, assessment of publication biases and study quality, and meta-regressions were conducted. The primary effect size reported was Hedges g of (1) neurocognitive functioning in individuals at FEP measuring differences with healthy control (HC) individuals or (2) evolution of neurocognitive impairment across study follow-up intervals. Of 30,384 studies screened, 54 were included, comprising 3,925 FEP individuals and 1,285 HC individuals. Variability analyses indicated greater variability in FEP compared to HC at baseline and follow-up. We found better neurocognitive performance in the HC group at baseline and follow-up but no differences in longitudinal neurocognitive changes between groups. Across the 13 domains, individuals with FEP showed improvement from baseline in all studied domains, except for visual memory. Metaregressions showed some differences in several of the studied domains. The findings suggest that individuals with FEP have marked cognitive impairment, but there is greater variability in cognitive functioning in patients than in HC. This suggests that subgroups of individuals suffer severe disease-related cognitive impairments, whereas others may be much less affected. While these impairments seem stable in the medium term, certain indicators may suggest potential further decline in the long term for a specific subgroup of individuals, although more research is needed to clarify this. Overall, this study highlights the need for tailored neurocognitive interventions for individuals with FEP based on their specific deficits and progression.
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Affiliation(s)
- Ana Catalan
- Department of Neuroscience, University of the Basque Country UPV/EHU; Psychiatry Department. Basurto University Hospital; Biobizkaia Health Research Institute; Centro de Investigación en Red de Salud Mental. (CIBERSAM) Instituto de Salud Carlos III , OSI Bilbao-Basurto, Av. Montevideo 18, 48013, Bilbao, Spain.
- Early Psychosis Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Robert A McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry. University of Oxford, Warneford Hospital, Headington, OX3 7JX, UK
- Oxford Health NHS foundation trust, Oxford, UK
| | - Claudia Aymerich
- Department of Neuroscience, University of the Basque CountryUPV/EHU. Psychiatry Department. Basurto University Hospital. BiBiobizkaia Health Research Institute. Centro de Investigaciónen Red de Salud Mental. (CIBERSAM), Instituto de Salud Carlos III, Avenida de Montevideo 18, 48013, Bilbao, Spain
| | - Borja Pedruzo
- Psychiatry Department. Basurto University Hospital, OSI Bilbao-Basurto, Bizkaia, Spain
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Mental Health Research Networking Center (CIBERSAM), Instituto de Salud Carlos III, University of Barcelona, Barcelona, Spain
| | - Victoria Rodríguez
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Gonzalo Salazar de Pablo
- Early Psychosis Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health. Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Malein Pacho
- Psychiatry Department. Basurto University Hospital, OSI Bilbao-Basurto, Bizkaia, Spain
| | - Jose Luis Pérez
- Psychiatry Department. Basurto University Hospital, OSI Bilbao-Basurto, Bizkaia, Spain
| | - Marco Solmi
- Charité Universitätsmedizin Berlin, Department of Child and Adolescent Psychiatry, Berlin, Germany
- SCIENCES lab, Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
- On Track: The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ottawa, ON, Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa, Ottawa, ON, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry. University of Oxford, Warneford Hospital, Headington, OX3 7JX, UK
| | - Anthony J Giuliano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Miguel Angel Gonzalez-Torres
- Department of Neuroscience, University of the Basque Country UPV/EHU; Psychiatry Department. Basurto University Hospital; Biobizkaia Health Research Institute; Centro de Investigación en Red de Salud Mental. (CIBERSAM) Instituto de Salud Carlos III , OSI Bilbao-Basurto, Av. Montevideo 18, 48013, Bilbao, Spain
| | - Paolo Fusar-Poli
- Early Psychosis Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, , Pavia, Italy
- Outreach and Support in South London (OASIS) service, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
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6
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Hidalgo-Figueroa M, Salazar A, Romero-López-Alberca C, MacDowell KS, García-Bueno B, Bioque M, Bernardo M, Parellada M, González-Pinto A, García-Portilla MP, Lobo A, Rodriguez-Jimenez R, Berrocoso E, Leza JC. Association of Prolactin, Oxytocin, and Homocysteine With the Clinical and Cognitive Features of a First Episode of Psychosis Over a 1-Year Follow-Up. Int J Neuropsychopharmacol 2023; 26:796-807. [PMID: 37603404 PMCID: PMC10674080 DOI: 10.1093/ijnp/pyad051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 08/20/2023] [Indexed: 08/22/2023] Open
Abstract
BACKGROUND The clinical debut of schizophrenia is frequently a first episode of psychosis (FEP). As such, there is considerable interest in identifying associations between biological markers and clinical or cognitive characteristics that help predict the progression and outcome of FEP patients. Previous studies showed that high prolactin, low oxytocin, and high homocysteine are factors associated with FEP 6 months after diagnosis, at which point plasma levels were correlated with some clinical and cognitive characteristics. METHODS We reexamined 75 patients at 12 months after diagnosis to measure the evolution of these molecules and assess their association with clinical features. RESULTS At follow-up, FEP patients had lower prolactin levels than at baseline, and patients treated with risperidone or paliperidone had higher prolactin levels than patients who received other antipsychotic agents. By contrast, no changes in oxytocin and homocysteine plasma levels were observed between the baseline and follow-up. In terms of clinical features, we found that plasma prolactin and homocysteine levels were correlated with the severity of the psychotic symptoms in male FEP patients, suggesting that they might be factors associated with psychotic symptomatology but only in men. Together with oxytocin, these molecules may also be related to sustained attention, verbal ability, and working memory cognitive domains in FEP patients. CONCLUSION This study suggests that focusing on prolactin, oxytocin, and homocysteine at a FEP may help select adequate pharmacological treatments and develop new tools to improve the outcome of these patients, where sex should also be borne in mind.
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Affiliation(s)
- Maria Hidalgo-Figueroa
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cádiz, Spain
- Neuropsychopharmacology and Psychobiology Research Group, Psychobiology Area, Department of Psychology, Universidad de Cádiz, Puerto Real (Cádiz), Spain
| | - Alejandro Salazar
- Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cádiz, Spain
- Department of Statistics and Operational Research, University of Cádiz, Puerto Real (Cádiz), Spain
- The Observatory of Pain, University of Cádiz, Cádiz, Spain
| | - Cristina Romero-López-Alberca
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cádiz, Spain
- Personality, Evaluation and Psychological Treatment Area, Department of Psychology, Universidad de Cádiz, Puerto Real (Cádiz), Spain
| | - Karina S MacDowell
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Departamento de Farmacología y Toxicología, Facultad de Medicina, Univ. Complutense de Madrid, Instituto de Investigación Sanitaria Hospital 12 de Octubre (i+12), IUINQ, Madrid, Spain
| | - Borja García-Bueno
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Departamento de Farmacología y Toxicología, Facultad de Medicina, Univ. Complutense de Madrid, Instituto de Investigación Sanitaria Hospital 12 de Octubre (i+12), IUINQ, Madrid, Spain
| | - Miquel Bioque
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Institut d’investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Miquel Bernardo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Institut d’investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Mara Parellada
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Ana González-Pinto
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Department of Psychiatry, Hospital Universitario de Alava, BIOARABA, EHU, Vitoria-Gasteiz, Spain
| | - M Paz García-Portilla
- Department of Psychiatry, Universidad de Oviedo, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto de Neurociencias del Principado de Asturias (INEUROPA), Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
| | - Antonio Lobo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - Roberto Rodriguez-Jimenez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Department of Psychiatry, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12)/Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Esther Berrocoso
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cádiz, Spain
- Neuropsychopharmacology and Psychobiology Research Group, Psychobiology Area, Department of Psychology, Universidad de Cádiz, Puerto Real (Cádiz), Spain
| | - Juan C Leza
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
- Departamento de Farmacología y Toxicología, Facultad de Medicina, Univ. Complutense de Madrid, Instituto de Investigación Sanitaria Hospital 12 de Octubre (i+12), IUINQ, Madrid, Spain
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7
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Tao TJ, Hui CLM, Hui PWM, Ho ECN, Lam BST, Wong AKH, See SHW, Chan EWT, Suen YN, Lee EHM, Chan SKW, Chang WC, Lo WTL, Chong CSY, Siu CMW, Choi YY, Pomarol-Clotet E, McKenna PJ, Honer WG, Chen EYH. Working memory deterioration as an early warning sign for relapse in remitted psychosis: A one-year naturalistic follow-up study. Psychiatry Res 2023; 319:114976. [PMID: 36462293 DOI: 10.1016/j.psychres.2022.114976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/10/2022] [Accepted: 11/20/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Relapse prevention is an important goal in the clinical management of psychosis. Cognitive deficits/deterioration can provide useful insights for monitoring relapse in psychosis patients. METHODS This was a prospective, naturalistic 1-year follow-up study involving 110 psychosis patients with full clinical remission. Relapse, defined as the recurrence of psychotic symptoms, was monitored monthly along with digital tracking of verbal and visual working memory using a mobile app developed for this study. Cognitive deterioration was defined as worsening performance over 2 months prior to relapse or study termination, whichever was earlier. Other clinical, cognitive, functioning, and psychosocial variables were also collected. RESULTS At 1 year, 18 (16.36%) patients relapsed, of which 6 (33.33%) required hospitalization. Relapse was predicted by verbal working memory deterioration 2 months prior to relapse (p = 0.029), worse medication adherence (p = 0.018), and less resilience (p = 0.014). CONCLUSIONS Verbal working memory deterioration is a novel early sign of relapse. It is a clearly defined, objectively measurable, and reproducible marker that can help clinicians and healthcare workers identify patients at risk of relapse and make decisions about maintenance therapy. Moreover, digital monitoring is a viable tool in the management of relapse.
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Affiliation(s)
- Tiffany Junchen Tao
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Christy Lai Ming Hui
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong.
| | - Priscilla Wing Man Hui
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Elise Chun Ning Ho
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Bertha Sze Ting Lam
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Andreas Kar Hin Wong
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Sally Hiu Wah See
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Evie Wai Ting Chan
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Yi Nam Suen
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Edwin Ho Ming Lee
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Sherry Kit Wa Chan
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong; State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong
| | - Wing Chung Chang
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong; State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong
| | | | | | | | - Yan Yin Choi
- Department of Psychiatry, Kwai Chung Hospital, Hong Kong
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalaries Research Foundation - CIBERSAM, ISCIII, Barcelona, Spain
| | - Peter J McKenna
- FIDMAG Germanes Hospitalaries Research Foundation - CIBERSAM, ISCIII, Barcelona, Spain
| | - William G Honer
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Eric Yu Hai Chen
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong; State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong
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8
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Cheng N, Lin A, Bowden S, Gao C, Yung AR, Nelson B, Thompson A, Yuen HP, Brewer WJ, Cagliarini D, Bruxner A, Simmons M, Broussard C, Pantelis C, McGorry PD, Allott K, Wood SJ. Intelligence trajectories in individuals at ultra-high risk for psychosis: An 8-year longitudinal analysis. Schizophr Res 2022; 248:140-148. [PMID: 36055017 DOI: 10.1016/j.schres.2022.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 06/29/2022] [Accepted: 08/20/2022] [Indexed: 10/14/2022]
Abstract
Cognitive impairment is a well-documented predictor of transition to a full-threshold psychotic disorder amongst individuals at ultra-high risk (UHR) for psychosis. However, less is known about whether change in cognitive functioning differs between those who do and do not transition. Studies to date have not examined trajectories in intelligence constructs (e.g., acquired knowledge and fluid intelligence), which have demonstrated marked impairments in individuals with schizophrenia. This study aimed to examine intelligence trajectories using longitudinal data spanning an average of eight years, where some participants completed assessments over three time-points. Participants (N = 139) at UHR for psychosis completed the Wechsler Abbreviated Scale of Intelligence (WASI) at each follow-up. Linear mixed-effects models mapped changes in WASI Full-Scale IQ (FSIQ) and T-scores on Vocabulary, Similarities, Block Design, and Matrix Reasoning subtests. The sample showed stable and improving trajectories for FSIQ and all subtests. There were no significant differences in trajectories between those who did and did not transition to psychosis and between individuals with good and poor functional outcomes. However, although not significant, the trajectories of the acquired knowledge subtests diverged between transitioned and non-transitioned individuals (β = -0.12, 95 % CI [-0.29, 0.05] for Vocabulary and β = -0.14, 95 % CI [-0.33, 0.05] for Similarities). Overall, there was no evidence for long-term deterioration in intelligence trajectories in this UHR sample. Future studies with a larger sample of transitioned participants may be needed to explore potential differences in intelligence trajectories between UHR transition groups and other non-psychosis outcomes.
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Affiliation(s)
- Nicholas Cheng
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Ashleigh Lin
- Telethon Kids Institute, The University of Western Australia, Perth, Australia
| | - Stephen Bowden
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Australia
| | - Caroline Gao
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Alison R Yung
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia; Division of Psychology and Mental Health, University of Manchester, Manchester, England, UK; Greater Manchester Mental Health NHS Foundation Trust, Manchester, England, UK; Institute for Mental and Physical Health and Clinical Translation, Deakin University, Australia
| | - Barnaby Nelson
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Andrew Thompson
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Hok Pan Yuen
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Warrick J Brewer
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Daniela Cagliarini
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Annie Bruxner
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Magenta Simmons
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Christina Broussard
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Parkville, Australia
| | - Patrick D McGorry
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Kelly Allott
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Stephen J Wood
- Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia; School of Psychology, University of Birmingham, Edgbaston, UK.
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9
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Buizza C, Strozza C, Sbravati G, de Girolamo G, Ferrari C, Iozzino L, Macis A, Kennedy HG, Candini V. Positive and negative syndrome scale in forensic patients with schizophrenia spectrum disorders: a systematic review and meta-analysis. Ann Gen Psychiatry 2022; 21:36. [PMID: 36088451 PMCID: PMC9463849 DOI: 10.1186/s12991-022-00413-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 06/19/2022] [Indexed: 01/10/2023] Open
Abstract
Among forensic patients with schizophrenia spectrum disorders, the association between symptomatology and violence is still not entirely clear in literature, especially because symptoms shift both during the acute phase of the illness and after. The aims were to investigate the level of symptomatology in forensic patients and to evaluate if there are differences in the level of symptoms between forensic and non-forensic patients. According to PRISMA guidelines, a systematic search was performed in PubMed, Web of Science, and ProQuest, using the following key words: "forensic" AND "Positive and Negative Syndrome Scale" OR "PANSS". A total of 27 studies were included in the systematic review, while only 23 studies in the meta-analysis. The overall sample included a total of 1702 participants, most commonly male and inpatients in forensic settings. We found that studies with an entirely male sample had significantly lower Positive PANSS ratings than studies with mixed samples. Although both forensic and non-forensic patients were affected by mild psychopathological symptoms, forensic patients presented higher ratings in all four PANSS scales. This meta-analysis shows that forensic patients reported a mild level of symptomatology, as assessed with the PANSS, and therefore might be considered as patients in partial remission. Among patients with schizophrenia, the association between symptoms and violence is very complex: many factors might be considered as key mediators and thus should be taken into account to explain this association. Further studies are needed.Trial registration all materials and data can be found on the OSF framework: https://osf.io/5ceja (date of registration: 8 September 2021).
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Affiliation(s)
- Chiara Buizza
- Psychiatric Epidemiology and Evaluation Unit, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Via Pilastroni 4, 25125, Brescia, Italy.,Department of Clinical and Experimental Sciences, University of Brescia, Viale Europa 11, 25123, Brescia, Italy
| | - Cosmo Strozza
- Interdisciplinary Centre On Population Dynamics, University of Southern Denmark, 5000, Odense, Denmark
| | - Giulio Sbravati
- Psychiatric Epidemiology and Evaluation Unit, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Via Pilastroni 4, 25125, Brescia, Italy
| | - Giovanni de Girolamo
- Psychiatric Epidemiology and Evaluation Unit, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Via Pilastroni 4, 25125, Brescia, Italy
| | - Clarissa Ferrari
- Service of Statistics, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Via Pilastroni 4, Brescia, Italy
| | - Laura Iozzino
- Psychiatric Epidemiology and Evaluation Unit, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Via Pilastroni 4, 25125, Brescia, Italy
| | - Ambra Macis
- Service of Statistics, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Via Pilastroni 4, Brescia, Italy
| | - Harry G Kennedy
- The National Forensic Mental Health Service, Central Mental Hospital, Dundrum, Dublin 14, Ireland.,Academic Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Valentina Candini
- Psychiatric Epidemiology and Evaluation Unit, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Via Pilastroni 4, 25125, Brescia, Italy.
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10
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Cheng N, McLaverty A, Nelson B, Markulev C, Schäfer MR, Berger M, Mossaheb N, Schlögelhofer M, Smesny S, Hickie IB, Berger GE, Chen EYH, de Haan L, Nieman DH, Nordentoft M, Riecher-Rössler A, Verma S, Street R, Thompson A, Yuen HP, Hester R, Yung AR, McGorry PD, Allott K, Amminger GP. Effects of omega-3 polyunsaturated fatty acid supplementation on cognitive functioning in youth at ultra-high risk for psychosis: secondary analysis of the NEURAPRO randomised controlled trial. BJPsych Open 2022; 8:e165. [PMID: 36073014 PMCID: PMC9534907 DOI: 10.1192/bjo.2022.572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Cognitive impairments are well-established features of psychotic disorders and are present when individuals are at ultra-high risk for psychosis. However, few interventions target cognitive functioning in this population. AIMS To investigate whether omega-3 polyunsaturated fatty acid (n-3 PUFA) supplementation improves cognitive functioning among individuals at ultra-high risk for psychosis. METHOD Data (N = 225) from an international, multi-site, randomised controlled trial (NEURAPRO) were analysed. Participants were given omega-3 supplementation (eicosapentaenoic acid and docosahexaenoic acid) or placebo over 6 months. Cognitive functioning was assessed with the Brief Assessment of Cognition in Schizophrenia (BACS). Mixed two-way analyses of variance were computed to compare the change in cognitive performance between omega-3 supplementation and placebo over 6 months. An additional biomarker analysis explored whether change in erythrocyte n-3 PUFA levels predicted change in cognitive performance. RESULTS The placebo group showed a modest greater improvement over time than the omega-3 supplementation group for motor speed (ηp2 = 0.09) and BACS composite score (ηp2 = 0.21). After repeating the analyses without individuals who transitioned, motor speed was no longer significant (ηp2 = 0.02), but the composite score remained significant (ηp2 = 0.02). Change in erythrocyte n-3 PUFA levels did not predict change in cognitive performance over 6 months. CONCLUSIONS We found no evidence to support the use of omega-3 supplementation to improve cognitive functioning in ultra-high risk individuals. The biomarker analysis suggests that this finding is unlikely to be attributed to poor adherence or consumption of non-trial n-3 PUFAs.
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Affiliation(s)
- Nicholas Cheng
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Australia
| | - Alison McLaverty
- Melbourne School of Psychological Sciences, The University of Melbourne, Australia
| | - Barnaby Nelson
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Australia
| | - Connie Markulev
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Australia
| | - Miriam R Schäfer
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Australia
| | - Maximus Berger
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Australia; and Department of Psychiatry and Psychotherapy, University of Bern, Switzerland
| | - Nilufar Mossaheb
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | | | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Australia
| | - Gregor E Berger
- Child and Adolescent Psychiatric Service, Canton of Zurich, Switzerland
| | - Eric Y H Chen
- Department of Psychiatry, University of Hong Kong, Hong Kong
| | - Lieuwe de Haan
- Department of Psychiatry, Academic Medical Center, The Netherlands
| | - Dorien H Nieman
- Department of Psychiatry, Academic Medical Center, The Netherlands
| | - Merete Nordentoft
- Mental Health Centre Copenhagen, Department of Clinical Medicine, Copenhagen University Hospital, Denmark
| | | | - Swapna Verma
- Early Psychosis Intervention, Institute of Mental Health, Singapore
| | - Rebekah Street
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Australia
| | - Andrew Thompson
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Australia
| | - Hok Pan Yuen
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Australia
| | - Robert Hester
- Melbourne School of Psychological Sciences, The University of Melbourne, Australia
| | - Alison Ruth Yung
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Australia; and School of Health Sciences, University of Manchester, UK
| | - Patrick D McGorry
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Australia
| | - Kelly Allott
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Australia; and Melbourne School of Psychological Sciences, The University of Melbourne, Australia
| | - G Paul Amminger
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Australia
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11
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Hedges EP, See C, Si S, McGuire P, Dickson H, Kempton MJ. Meta-analysis of longitudinal neurocognitive performance in people at clinical high-risk for psychosis. Psychol Med 2022; 52:2009-2016. [PMID: 35821623 PMCID: PMC9386433 DOI: 10.1017/s0033291722001830] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 05/24/2022] [Accepted: 05/31/2022] [Indexed: 12/24/2022]
Abstract
Persons at clinical high-risk for psychosis (CHR) are characterised by specific neurocognitive deficits. However, the course of neurocognitive performance during the prodromal period and over the onset of psychosis remains unclear. The aim of this meta-analysis was to synthesise results from follow-up studies of CHR individuals to examine longitudinal changes in neurocognitive performance. Three electronic databases were systematically searched to identify articles published up to 31 December 2021. Thirteen studies met inclusion criteria. Study effect sizes (Hedges' g) were calculated and pooled for each neurocognitive task using random-effects meta-analyses. We examined whether changes in performance between baseline and follow-up assessments differed between: (1) CHR and healthy control (HC) individuals, and (2) CHR who did (CHR-T) and did not transition to psychosis (CHR-NT). Meta-analyses found that HC individuals had greater improvements in performance over time compared to CHR for letter fluency (g = -0.32, p = 0.029) and digit span (g = -0.30, p = 0.011) tasks. Second, there were differences in longitudinal performance of CHR-T and CHR-NT in trail making test A (TMT-A) (g = 0.24, p = 0.014) and symbol coding (g = -0.51, p = 0.011). Whilst CHR-NT improved in performance on both tasks, CHR-T improved to a lesser extent in TMT-A and had worsened performance in symbol coding over time. Together, neurocognitive performance generally improved in all groups at follow-up. Yet, evidence suggested that improvements were less pronounced for an overall CHR group, and specifically for CHR-T, in processing speed tasks which may be a relevant domain for interventions aimed to enhance neurocognition in CHR populations.
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Affiliation(s)
- Emily P. Hedges
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK
| | - Cheryl See
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK
| | - Shuqing Si
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK
| | - Hannah Dickson
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK
| | - Matthew J. Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK
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12
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Jonas K, Lian W, Callahan J, Ruggero CJ, Clouston S, Reichenberg A, Carlson GA, Bromet EJ, Kotov R. The Course of General Cognitive Ability in Individuals With Psychotic Disorders. JAMA Psychiatry 2022; 79:659-666. [PMID: 35583896 PMCID: PMC9118026 DOI: 10.1001/jamapsychiatry.2022.1142] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 03/16/2022] [Indexed: 11/14/2022]
Abstract
Importance Schizophrenia is associated with major cognitive deficits and has been conceptualized as both a neurodevelopmental and a neurodegenerative disorder. However, when deficits develop and how they change over the course of illness is uncertain. Objective To trace cognition from elementary school to old age to test neurodevelopmental and neurodegenerative theories of psychotic disorders. Design, Setting, and Participants Data were taken from the Suffolk County Mental Health Project, a first-admission longitudinal cohort study of individuals with psychotic disorders. Participants were recruited from all 12 inpatient psychiatric facilities in Suffolk County, New York. This analysis concerns the 428 participants with at least 2 estimates of general cognitive ability. Data were collected between September 1989 and October 2019, and data were analyzed from January 2020 to October 2021. Exposures Psychiatric hospitalization for psychosis. Main Outcomes and Measures Preadmission cognitive scores were extracted from school and medical records. Postonset cognitive scores were based on neuropsychological testing at 6-month, 24-month, 20-year, and 25-year follow-ups. Results Of the 428 included individuals (212 with schizophrenia and 216 with other psychotic disorders), 254 (59.6%) were male, and the mean (SD) age at psychosis onset was 27 (9) years. Three phases of cognitive change were observed: normative, declining, and deteriorating. In the first phase, cognition was stable. Fourteen years before psychosis onset, those with schizophrenia began to experience cognitive decline at a rate of 0.35 intelligence quotient (IQ) points per year (95% CI, 0.29-0.42; P < .001), a significantly faster decline than those with other psychotic disorders (0.15 IQ points per year; 95% CI, 0.08-0.22, P < .001). At 22 years after onset, both groups declined at a rate of 0.59 IQ points per year (95% CI, 0.25-0.94; P < .001). Conclusions and Relevance In this cohort study, cognitive trajectories in schizophrenia were consistent with both a neurodevelopmental and neurodegenerative pattern, resulting in a loss of 16 IQ points over the period of observation. Cognitive decline began long prior to psychosis onset, suggesting the window for primary prevention is earlier than previously thought. A window for secondary prevention emerges in the third decade of illness, when cognitive declines accelerate in individuals with schizophrenia and other psychotic disorders.
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Affiliation(s)
- Katherine Jonas
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, New York
| | - Wenxuan Lian
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York
| | | | | | - Sean Clouston
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, New York
| | - Avraham Reichenberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Evelyn J. Bromet
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, New York
| | - Roman Kotov
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, New York
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13
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Mohn-Haugen CR, Mohn C, Larøi F, Teigset CM, Øie MG, Rund BR. A systematic review of premorbid cognitive functioning and its timing of onset in schizophrenia spectrum disorders. Schizophr Res Cogn 2022; 28:100246. [PMID: 35251943 PMCID: PMC8892142 DOI: 10.1016/j.scog.2022.100246] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 02/18/2022] [Accepted: 02/20/2022] [Indexed: 11/24/2022]
Abstract
Cognitive impairments are core features of established schizophrenia spectrum disorders (SSD). However, it remains unclear whether specific cognitive functions are differentially impaired pre-onset and at what age these impairments can be detected. The purpose of this review was to elucidate these issues through a systematic summary of results from longitudinal studies investigating impairment in specific cognitive domains as antecedents of SSD. Relevant studies were identified by electronic and manual literature searches and included any original study of cognitive domains any time pre-onset of SSDs that included a control group. Effect sizes were calculated by domain for studies comparing high-risk participants who developed SSD with those who did not. The strongest evidence for impairment pre-onset was for mental processing speed, verbal learning and memory, executive function, and social cognition. Some verbal impairments, like language abilities at age 3 and verbal learning and memory at age 7, may develop as static deficits. Conversely, some non-verbal impairments, like mental processing speed, visuospatial abilities, and visual working memory manifest as developmental lag and become significant later in life. Most effect sizes were small to moderate, except for verbal fluency (d' = 0,85), implying this impairment as central in high-risk participants who develop SSD. The present review documents extensive cognitive impairments pre-onset of SSD, and that these impairments start early in life, in line with the neurodevelopmental hypothesis of schizophrenia. Increased knowledge about cognitive impairments preonset can provide a better basis for understanding the complex pathogenesis of SSD as well as informing cognitive remediation programs.
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Affiliation(s)
- Caroline Ranem Mohn-Haugen
- Research Department, Vestre Viken Hospital Trust, 3004 Drammen, Norway
- Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway
| | - Christine Mohn
- Norment Centre, Institute of Clinical Medicine, University of Oslo, P.O. box 4956, Nydalen, 0424 Oslo, Norway
| | - Frank Larøi
- Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway
- Psychology and Neuroscience of Cognition Research Unit, University of Liège, B-4000, Belgium
| | | | - Merete Glenne Øie
- Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway
| | - Bjørn Rishovd Rund
- Research Department, Vestre Viken Hospital Trust, 3004 Drammen, Norway
- Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway
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14
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Allott K, Schmidt SJ, Yuen HP, Wood SJ, Nelson B, Markulev C, Lavoie S, Brewer WJ, Schäfer MR, Mossaheb N, Schlögelhofer M, Smesny S, Hickie IB, Berger GE, Chen EYH, de Haan L, Nieman DH, Nordentoft M, Riecher-Rössler A, Verma S, Thompson A, Yung AR, Amminger P, McGorry PD, Hartmann J. Twelve-Month Cognitive Trajectories in Individuals at Ultra-High Risk for Psychosis: A Latent Class Analysis. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgac008. [PMID: 39144786 PMCID: PMC11205973 DOI: 10.1093/schizbullopen/sgac008] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
Understanding longitudinal cognitive performance in individuals at ultra-high risk for psychosis (UHR) is important for informing theoretical models and treatment. A vital step in this endeavor is to determine whether there are UHR subgroups that have similar patterns of cognitive change over time. The aims were to: i) identify latent class trajectories of cognitive performance over 12-months in UHR individuals, ii) identify baseline demographic and clinical predictors of the resulting classes, and iii) determine whether trajectory classes were associated with transition to psychosis or functional outcomes. Cognition was assessed using the Brief Assessment of Cognition in Schizophrenia (BACS) at baseline, 6- and 12-months (N = 288). Using Growth Mixture Modeling, a single unimpaired improving trajectory class was observed for motor function, speed of processing, verbal fluency, and BACS composite. A two-class solution was observed for executive function and working memory, showing one unimpaired and a second impaired class. A three-class solution was found for verbal learning and memory: unimpaired, mildly impaired, and initially extremely impaired, but improved ("caught up") to the level of the mildly impaired. IQ, omega-3 index, and premorbid adjustment were associated with class membership, whereas clinical variables (symptoms, substance use), including transition to psychosis, were not. Working memory and verbal learning and memory trajectory class membership was associated with functioning outcomes. These findings suggest there is no short-term progressive cognitive decline in help-seeking UHR individuals, including those who transition to psychosis. Screening of cognitive performance may be useful for identifying UHR individuals who may benefit from targeted cognitive interventions.
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Affiliation(s)
- Kelly Allott
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Stefanie J Schmidt
- Department of Clinical Child and Adolescent Psychology, University of Bern, Switzerland
| | - Hok Pan Yuen
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Stephen J Wood
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
- School of Psychology, University of Birmingham, Birmingham, UK
| | - Barnaby Nelson
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Connie Markulev
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Suzie Lavoie
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Warrick J Brewer
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Miriam R Schäfer
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Nilufar Mossaheb
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, Vienna, Austria
| | - Monika Schlögelhofer
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, Vienna, Austria
| | - Stefan Smesny
- Department of Psychiatry, University Hospital Jena, Jena, Germany
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Gregor Emanuel Berger
- Child and Adolescent Psychiatric Service of the Canton of Zurich, Zurich, Switzerland
| | - Eric Y H Chen
- Department of Psychiatry, University of Hong Kong, Hong Kong, Hong Kong
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Dorien H Nieman
- Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Merete Nordentoft
- Mental Health Centre Copenhagen, Department of Clinical Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Swapna Verma
- Institute of Mental Health, Singapore, Singapore
| | - Andrew Thompson
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
- Unit of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK
| | - Alison R Yung
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, Australia
- Division of Psychology and Mental Health, University of Manchester, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Paul Amminger
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Patrick D McGorry
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Jessica Hartmann
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
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15
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Mohn-Haugen CR, Mohn C, Larøi F, Teigset CM, Øie MG, Rund BR. Cognitive functioning in a group of adolescents at risk for psychosis. Front Psychiatry 2022; 13:1075222. [PMID: 36532169 PMCID: PMC9753978 DOI: 10.3389/fpsyt.2022.1075222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 11/18/2022] [Indexed: 12/03/2022] Open
Abstract
Cognitive deficits are a core feature of schizophrenia, and impairments are present in groups at-risk for psychosis. Most at-risk studies include young adults and not younger age-groups, such as adolescents. Participants are usually help-seeking individuals, even though risk factors may also be present in non-help seeking adolescents. We aim to explore cognitive functions in a group of non-help-seeking 15-year-old adolescents at risk for psychosis compared to age- and gender matched controls, including particular focus on specific cognitive domains. Hundred participants (mean age = 15.3) were invited after completing the 14-year-old survey distributed by the Norwegian Mother-, Father- and Child Study. At-risk adolescents were selected based on high scores on 19 items assessing both psychotic experiences and anomalous self-experiences. Matched controls were selected from the same sample. Cognitive functioning was assessed using the MATRICS Consensus Cognitive Battery and IQ using Wechsler's Abbreviated Test of Intelligence. We found that the adolescents at-risk for psychosis had significantly poorer scores than controls on the composite score of the MCCB. IQ scores were also significantly lower in the at-risk group. The results highlight general cognitive deficits as central in a group of non-help-seeking adolescents at-risk for psychosis. Results indicate that the development of cognitive impairments starts early in life in at-risk groups. It is still unclear whether specific cognitive domains, such as verbal learning, are related to psychotic symptoms or may be specifically vulnerable to symptoms of depression and anxiety.
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Affiliation(s)
- Caroline Ranem Mohn-Haugen
- Research Department, Vestre Viken Hospital Trust, Drammen, Norway.,Department of Psychology, University of Oslo, Oslo, Norway
| | - Christine Mohn
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Frank Larøi
- Department of Psychology, University of Oslo, Oslo, Norway.,Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium
| | | | | | - Bjørn Rishovd Rund
- Research Department, Vestre Viken Hospital Trust, Drammen, Norway.,Department of Psychology, University of Oslo, Oslo, Norway
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16
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Zhuo C, Liu W, Jiang R, Li R, Yu H, Chen G, Shan J, Zhu J, Cai Z, Lin C, Cheng L, Xu Y, Liu S, Luo Q, Jin S, Liu C, Chen J, Wang L, Yang L, Zhang Q, Li Q, Tian H, Song X. Metabolic risk factors of cognitive impairment in young women with major psychiatric disorder. Front Psychiatry 2022; 13:880031. [PMID: 35966480 PMCID: PMC9373724 DOI: 10.3389/fpsyt.2022.880031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 06/29/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Cognitive performance improves clinical outcomes of patients with major psychiatric disorder (MPD), but is impaired by hyperglycemia. Psychotropic agents often induce metabolism syndrome (MetS). The identification of modifiable metabolic risk factors of cognitive impairment may enable targeted improvements of patient care. OBJECTIVE To investigate the relationship between MetS and cognitive impairment in young women with MPD, and to explore risk factors. METHODS We retrospectively studied women of 18-34 years of age receiving psychotropic medications for first-onset schizophrenia (SCH), bipolar disorder (BP), or major depressive disorder (MDD). Data were obtained at four time points: presentation but before psychotropic medication; 4-8 and 8-12 weeks of psychotropic therapy; and enrollment. MATRICS Consensus Cognitive Battery, (MCCB)-based Global Deficit Scores were used to assess cognitive impairment. Multiple logistic analysis was used to calculate risk factors. Multivariate models were used to investigate factors associated with cognitive impairment. RESULTS We evaluated 2,864 participants. Cognitive impairment was observed in 61.94% of study participants, and was most prevalent among patients with BP (69.38%). HbA1c within the 8-12 week-treatment interval was the most significant risk factor and highest in BP. Factors in SCH included pre-treatment waist circumference and elevated triglycerides during the 8-12 weeks treatment interval. Cumulative dosages of antipsychotics, antidepressants, and valproate were associated with cognitive impairment in all MPD subgroups, although lithium demonstrated a protect effect (all P < 0.001). CONCLUSIONS Cognitive impairment was associated with elevated HbA1c and cumulative medication dosages. Pre-treatment waist circumference and triglyceride level at 8-12 weeks were risk factors in SCH. Monitoring these indices may inform treatment revisions to improve clinical outcomes.
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Affiliation(s)
- Chuanjun Zhuo
- Department of Psychiatry, Tianjin Fourth Center Hospital, Tianjin, China.,Department of Psychiatry, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Psychiatric Transformational Research Key Laboratory, Zhengzhou University, Zhengzhou, China.,Multiple Organs Damage in the Mental Disorder (MODMD) Center of Wenzhou Seventh Hospital, Wenzhou, China.,Department of Psychiatry, Tianjin Anding Hospital, Tianjin, China
| | - Wei Liu
- Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ronghuan Jiang
- Department of Psychiatry, General Hospital of PLA, Beijing, China
| | - Ranli Li
- Key Laboratory of Psychiatric-Neuroimaging-Genetic and Cor-morbidity, Tianjin Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
| | - Haiping Yu
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Guangdong Chen
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jianmin Shan
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jingjing Zhu
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Ziyao Cai
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Chongguang Lin
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Langlang Cheng
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Qinghua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shili Jin
- Inpatient Department, Shandong Daizhuang Hospital, Jining, China
| | - Chuanxin Liu
- Inpatient Department, Shandong Daizhuang Hospital, Jining, China
| | - Jiayue Chen
- Department of Psychiatry, Tianjin Fourth Center Hospital, Tianjin, China
| | - Lina Wang
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin, China
| | - Lei Yang
- Department of Psychiatry, Yanan Fifth Hospital, Yan'An, China
| | - Qiuyu Zhang
- Department of Psychiatry, Tianjin Anning Hospital, Tianjin, China
| | - Qianchen Li
- Department of Psychiatry, Hebei Fifth Peoples Hospital, Shijiazhuang, China
| | - Hongjun Tian
- Key Laboratory of Multiple Organ Damage in Patients With Mental Disorder, Tianjin Fourth Center Hospital of Tianjin Medical University, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China
| | - Xueqin Song
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Psychiatric Transformational Research Key Laboratory, Zhengzhou University, Zhengzhou, China
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17
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van der Heijden HS, Schirmbeck F, Kempton MJ, van der Gaag M, Allot K, Nelson B, Ruhrmann S, de Haan L, Vermeulen JM. Impact of smoking Behavior on cognitive functioning in persons at risk for psychosis and healthy controls: A longitudinal study. Eur Psychiatry 2021; 64:e60. [PMID: 34544507 PMCID: PMC8516743 DOI: 10.1192/j.eurpsy.2021.2233] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Background The high prevalence of smoking in individuals who are at ultra-high risk (UHR) for psychosis is well known and moderate cognitive deficits have also been found in UHR. However, the association between smoking and cognition in UHR is unknown and longitudinal studies are lacking. Method A cohort study with 330 UHR individuals and 66 controls was conducted, as part of the European network of national schizophrenia networks studying gene–environment interactions (EU-GEI). At baseline and after 6, 12, and 24 months, smoking behavior was assessed with the Composite International Diagnostic Interview and cognitive functioning with a comprehensive test battery. Linear mixed-effects analyses were used to examine the multicross-sectional and prospective associations between (change in) smoking behavior and cognitive functioning, accounting for confounding variables. Results At baseline, 53% of UHR and 27% of controls smoked tobacco. Smoking UHR and controls did not significantly differ from nonsmoking counterparts on the tested cognitive domains (speed of processing, attention/vigilance, working memory, verbal learning, or reasoning/problem solving) across different assessment times. Neither smoking cessation nor initiation was associated with a significant change in cognitive functioning in UHR. Conclusions No associations were found between smoking and cognitive impairment in UHR nor in controls. However, the fact that one in every two UHR individuals report daily use of tobacco is alarming. Our data suggest that UHR have fewer cognitive impairments and higher smoking cessation rates compared to patients with first-episode psychosis found in literature. Implications to promote smoking cessation in the UHR stage need further investigation.
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Affiliation(s)
| | - Frederike Schirmbeck
- Department of Psychiatry, Amsterdam UMC (location AMC), Amsterdam, The Netherlands.,Arkin Institute for Mental Health, Amsterdam, The Netherlands
| | - Matthew J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - Mark van der Gaag
- Psychosis Research Institute, Parnassia Group, Hague, The Netherlands.,Department of Clinical Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - Kelly Allot
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia
| | - Barnaby Nelson
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam UMC (location AMC), Amsterdam, The Netherlands.,Arkin Institute for Mental Health, Amsterdam, The Netherlands
| | - Jentien M Vermeulen
- Department of Psychiatry, Amsterdam UMC (location AMC), Amsterdam, The Netherlands
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18
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Aase I, Langeveld JH, Johannessen JO, Joa I, Dalen I, Ten Velden Hegelstad W. Cognitive predictors of longitudinal positive symptom course in clinical high risk for psychosis. SCHIZOPHRENIA RESEARCH-COGNITION 2021; 26:100210. [PMID: 34381698 PMCID: PMC8340303 DOI: 10.1016/j.scog.2021.100210] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 01/10/2023]
Abstract
Background Clinical High Risk (CHS) for psychosis is a state in which positive symptoms are predominant but do not reach a level of severity that fulfils the criteria for a psychotic episode. The aim of this study has been to investigate whether cognition in subjects with newly detected CHR affects the longitudinal development of positive symptoms. Methods Fifty-three CHR individuals fulfilling the criteria for attenuated positive syndrome in the Structural Interview for Prodromal Syndromes (SIPS) were included. At inclusion, all participants completed a neurocognitive battery consisting of tests measuring attention, verbal memory, verbal fluency, executive functions and general intelligence. Cognitive domain z-scores were defined by contrasting with observed scores of a group of matched healthy controls (n = 40). Associations between cognitive performance at inclusion and longitudinal measures of positive symptoms were assessed by using generalised linear models including non-linear effects of time. All regression models were adjusted for age and gender. Results Overall, SIPS positive symptoms declined over the time period, with a steeper decline during the first six months. Deficits in executive functions were assossiated witn a higher load of positive symptoms at baseline (p=0.006), but also to a faster improvement (p=0.030), wheras those with poor verbal fluency improved more slowly (p=0.018). Conclusion To our knowledge, this is the first study that follows CHR subjects by means of frequent clinical interviews over a sustained period of time. The study provides evidence of an association between executive functions, including verbal fluency, with the evolvement of positive symptoms.
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Affiliation(s)
- Ingvild Aase
- TIPS Center for Clinical Research in Psychosis, Clinic for Adult Mental Health Care, Stavanger University Hospital, P.O. 8100, 4068 Stavanger, Norway.,Faculty of Health Sciences, University of Stavanger, 4036 Stavanger, Norway
| | - Johannes Hendrik Langeveld
- TIPS Center for Clinical Research in Psychosis, Clinic for Adult Mental Health Care, Stavanger University Hospital, P.O. 8100, 4068 Stavanger, Norway.,Faculty of Health Sciences, University of Stavanger, 4036 Stavanger, Norway
| | - Jan Olav Johannessen
- TIPS Center for Clinical Research in Psychosis, Clinic for Adult Mental Health Care, Stavanger University Hospital, P.O. 8100, 4068 Stavanger, Norway.,Faculty of Health Sciences, University of Stavanger, 4036 Stavanger, Norway
| | - Inge Joa
- TIPS Center for Clinical Research in Psychosis, Clinic for Adult Mental Health Care, Stavanger University Hospital, P.O. 8100, 4068 Stavanger, Norway.,Faculty of Health Sciences, University of Stavanger, 4036 Stavanger, Norway
| | - Ingvild Dalen
- Faculty of Health Sciences, University of Stavanger, 4036 Stavanger, Norway.,Research Department, Stavanger University Hospital, P. O. 8100, 4068 Stavanger, Norway
| | - Wenche Ten Velden Hegelstad
- TIPS Center for Clinical Research in Psychosis, Clinic for Adult Mental Health Care, Stavanger University Hospital, P.O. 8100, 4068 Stavanger, Norway.,Faculty of Social Sciences, University of Stavanger, 4036 Stavanger, Norway
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19
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Cognitive subtypes in recent onset psychosis: distinct neurobiological fingerprints? Neuropsychopharmacology 2021; 46:1475-1483. [PMID: 33723384 PMCID: PMC8209013 DOI: 10.1038/s41386-021-00963-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 12/16/2020] [Accepted: 01/05/2021] [Indexed: 01/31/2023]
Abstract
In schizophrenia, neurocognitive subtypes can be distinguished based on cognitive performance and they are associated with neuroanatomical alterations. We investigated the existence of cognitive subtypes in shortly medicated recent onset psychosis patients, their underlying gray matter volume patterns and clinical characteristics. We used a K-means algorithm to cluster 108 psychosis patients from the multi-site EU PRONIA (Prognostic tools for early psychosis management) study based on cognitive performance and validated the solution independently (N = 53). Cognitive subgroups and healthy controls (HC; n = 195) were classified based on gray matter volume (GMV) using Support Vector Machine classification. A cognitively spared (N = 67) and impaired (N = 41) subgroup were revealed and partially independently validated (Nspared = 40, Nimpaired = 13). Impaired patients showed significantly increased negative symptomatology (pfdr = 0.003), reduced cognitive performance (pfdr < 0.001) and general functioning (pfdr < 0.035) in comparison to spared patients. Neurocognitive deficits of the impaired subgroup persist in both discovery and validation sample across several domains, including verbal memory and processing speed. A GMV pattern (balanced accuracy = 60.1%, p = 0.01) separating impaired patients from HC revealed increases and decreases across several fronto-temporal-parietal brain areas, including basal ganglia and cerebellum. Cognitive and functional disturbances alongside brain morphological changes in the impaired subgroup are consistent with a neurodevelopmental origin of psychosis. Our findings emphasize the relevance of tailored intervention early in the course of psychosis for patients suffering from the likely stronger neurodevelopmental character of the disease.
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20
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Cognitive dysfunction in a psychotropic medication-naïve, clinical high-risk sample from the ShangHai-At-Risk-for-Psychosis (SHARP) study: Associations with clinical outcomes. Schizophr Res 2020; 226:138-146. [PMID: 32694037 DOI: 10.1016/j.schres.2020.06.018] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 06/16/2020] [Accepted: 06/19/2020] [Indexed: 01/10/2023]
Abstract
OBJECTIVES 1) to assess generalizability of neurocognitive deficits reported in previous Western clinical high-risk (CHR) for psychosis studies in a prodromal program in Shanghai, China; and 2) to investigate neurocognition in CHR subjects in relation to a broader range of clinical outcomes (e.g. remission) than presence or absence of psychosis. METHOD Baseline neurocognitive assessments of CHR (n = 217) and healthy control (HC; n = 133) subjects were compared based on 1-year follow-up clinical status using MANOVA. CHR subjects were first divided into 'converter' (CHR-C; n = 41) and 'non-converter' (CHR-NC; n = 155) to psychosis groups and compared to HC and to each other. CHR subjects were then divided into 'remission' (i.e. achieved remission; n = 102), 'symptomatic' (persistent positive symptoms in the absence of conversion; n = 37) and 'poor-outcome' (converted and symptomatic subjects who did not respond to treatment; n = 57) groups. RESULTS CHR neurocognitive performance was broadly impaired compared to HC; CHR-C subjects showed lower performance in processing speed and visual learning than CHR-NC. CHRs with poor clinical outcomes showed lower performance on most MCCB tasks compared to HC, particularly in learning and processing speed, as clinical outcome worsened from remission to symptomatic to poor outcome groups. CONCLUSIONS Level and pattern of baseline neurocognitive weaknesses in SHARP CHR subjects were similar to those in NAPLS-2. Outcome stratification into remission, symptomatic and poor groups was associated with increasing cognitive deficits in learning and processing speed. These findings support cross-cultural generalizability and advance understanding of CHR neurocognitive heterogeneity associated with 1-year clinical outcomes.
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21
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Fusar-Poli P, De Micheli A, Signorini L, Baldwin H, Salazar de Pablo G, McGuire P. Real-world long-term outcomes in individuals at clinical risk for psychosis: The case for extending duration of care. EClinicalMedicine 2020; 28:100578. [PMID: 33294806 PMCID: PMC7700893 DOI: 10.1016/j.eclinm.2020.100578] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 09/14/2020] [Accepted: 09/15/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Most services for individuals at Clinical High Risk for Psychosis (CHR-P) provide short-term clinical care. This study determines the real-world and long-term clinical outcomes beyond transition to psychosis in a large cohort of CHR-P individuals. METHOD Retrospective RECORD-compliant real-world Electronic Health Records (EHR) cohort study in secondary mental health care (the South London and the Maudsley -SLaM- NHS Foundation Trust). All CHR-P patients accessing the CHR-P service at SLaM in the period 2001-2018 were included. Main outcomes were long-term cumulative risk of first: (i) developing an ICD-10 psychotic disorder (primary outcome), receiving a treatment with (iia) antipsychotic medication, (iib) benzodiazepines, (iic) other psychotropic medications, (iid) psychotherapy, receiving an (iiia) informal or (iiib) compulsory admission into a mental health hospital, and the time to these events; (iiic) number of days spent in hospital and (iv) cumulative risk of death for any reason and age/gender Standardised Mortality Ratio (SMR). Data were extracted from the EHR and analysed with Kaplan Meier failure functions, Cox and zero-inflated negative binomial regressions. FINDINGS 600 CHR-P patients (80.43% Attenuated Psychotic Symptoms, APS; 18.06%, Brief and Limited Intermittent Psychotic Symptoms, BLIPS, 1.51% Genetic Risk and Deterioration Syndrome) were included (mean age 22.63 years, range 13-36; 55.33% males; 46.44% white, mean duration of untreated attenuated psychotic symptoms 676.32 days, 1105.40 SD). The cumulative risk to first psychosis was 0.365 (95%CI 0.302-0.437) at 11 years; first antipsychotic 0.777 (95%CI 0.702-0.844) at 9 years; first benzodiazepine 0.259 (95%CI 0.183-0.359) at 12 years; first other types of medications 0.630 (95%CI 0.538-0.772) at 9 years; first psychotherapy 0.814 (95%CI 0.764-0.859) at 9 years; first informal admission 0.378 (95%CI 0.249-0.546) at 12 years; first compulsory admission 0.251 (95%CI 0.175-0.352) at 12 years; those admitted spent on average 94.84 (SD=169.94) days in hospital; the cumulative risk of death for any reason was 0.036 (95%CI 0.012-0.103) at 9 years, with an SMR of 3.9 (95%CI 1.20-6.6). Compared to APS, BLIPS had a higher risk of developing psychosis, being admitted compulsorily into hospital, receiving antipsychotics and benzodiazepines and lower probability of receiving psychotherapy. Other prognostic factors of long-term outcomes included age, symptoms severity, duration of untreated attenuated psychotic symptoms, ethnicity and employment status. INTERPRETATION Duration of care provided by CHR-P services should be expanded to address long-term real-world outcomes. FUNDING This study was supported by the King's College London Confidence in Concept award from the Medical Research Council (MRC) (MC_PC_16048) to PF-P. GSP is supported by the Alicia Koplowitz Foundation. HB is supported by a National Institute for Health Research Maudsley Biomedical Research Centre studentship.
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Affiliation(s)
- Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection
(EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology
and Neuroscience, King's College London, 5th Floor, PO63, 16 De Crespigny Park,
SE5 8AF London, UK
- OASIS service, South London and Maudsley NHS Foundation
Trust, London, UK
- Department of Brain and Behavioral Sciences, University
of Pavia, Pavia, Italy
- Maudsley Biomedical Research Centre, National Institute
for Health Research, South London and Maudsley NHS Foundation Trust, London,
UK
| | - Andrea De Micheli
- Early Psychosis: Interventions and Clinical-detection
(EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology
and Neuroscience, King's College London, 5th Floor, PO63, 16 De Crespigny Park,
SE5 8AF London, UK
- OASIS service, South London and Maudsley NHS Foundation
Trust, London, UK
| | - Lorenzo Signorini
- Early Psychosis: Interventions and Clinical-detection
(EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology
and Neuroscience, King's College London, 5th Floor, PO63, 16 De Crespigny Park,
SE5 8AF London, UK
| | - Helen Baldwin
- Early Psychosis: Interventions and Clinical-detection
(EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology
and Neuroscience, King's College London, 5th Floor, PO63, 16 De Crespigny Park,
SE5 8AF London, UK
- Maudsley Biomedical Research Centre, National Institute
for Health Research, South London and Maudsley NHS Foundation Trust, London,
UK
| | - Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection
(EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology
and Neuroscience, King's College London, 5th Floor, PO63, 16 De Crespigny Park,
SE5 8AF London, UK
- Institute of Psychiatry and Mental Health. Department
of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio
Marañón School of Medicine, Universidad Complutense, Instituto de Investigación
Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain
| | - Philip McGuire
- OASIS service, South London and Maudsley NHS Foundation
Trust, London, UK
- Maudsley Biomedical Research Centre, National Institute
for Health Research, South London and Maudsley NHS Foundation Trust, London,
UK
- Department of Psychosis Studies, Institute of
Psychiatry, Psychology & Neuroscience, King's College London, London,
UK
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22
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Cognitive functioning in ultra-high risk for psychosis individuals with and without depression: Secondary analysis of findings from the NEURAPRO randomized clinical trial. Schizophr Res 2020; 218:48-54. [PMID: 32171637 DOI: 10.1016/j.schres.2020.03.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 02/23/2020] [Accepted: 03/05/2020] [Indexed: 12/15/2022]
Abstract
Neurocognitive impairments are well established in both ultra-high risk (UHR) for psychosis and major depressive disorder (MDD). Despite this understanding, investigation of neurocognitive deficits in UHR individuals with MDD and its association with MDD within this population, has been scarce. Hence, this study aimed to examine any differences in neurocognition at baseline between those with MDD at baseline and those with no history of MDD, as well as determine whether neurocognitive variables are significantly associated with meeting criteria for MDD at follow-up, while controlling for relevant clinical variables, within a UHR cohort. Data analysis was conducted on 207 participants whose baseline neurocognition was assessed using Brief Assessment of Cognition for Schizophrenia, as part of a trial of omega-3 fatty acids (NEURAPRO) for UHR individuals. While baseline MDD was the strongest predictor, poorer verbal memory and higher verbal fluency were significantly associated with MDD at 12 months (p = .04 and 0.026, respectively). Further, higher processing speed was significantly associated with MDD at medium-term follow-up (p = .047). These findings outline that neurocognitive skills were independently associated with meeting criteria for MDD at follow-up within UHR individuals, with novel findings of better verbal fluency and processing speed being linked to MDD outcomes. Hence, neurocognitive performance should be considered as a marker of risk for MDD outcomes and a target for management of MDD in UHR.
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23
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Kambeitz-Ilankovic L, Wenzel J, Haas SS, Ruef A, Antonucci LA, Sanfelici R, Paolini M, Koutsouleris N, Biagianti B. Modeling Social Sensory Processing During Social Computerized Cognitive Training for Psychosis Spectrum: The Resting-State Approach. Front Psychiatry 2020; 11:554475. [PMID: 33329091 PMCID: PMC7716799 DOI: 10.3389/fpsyt.2020.554475] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 09/15/2020] [Indexed: 11/13/2022] Open
Abstract
Background: Greater impairments in early sensory processing predict response to auditory computerized cognitive training (CCT) in patients with recent-onset psychosis (ROP). Little is known about neuroimaging predictors of response to social CCT, an experimental treatment that was recently shown to induce cognitive improvements in patients with psychosis. Here, we investigated whether ROP patients show interindividual differences in sensory processing change and whether different patterns of SPC are (1) related to the differential response to treatment, as indexed by gains in social cognitive neuropsychological tests and (2) associated with unique resting-state functional connectivity (rsFC). Methods: Twenty-six ROP patients completed 10 h of CCT over the period of 4-6 weeks. Subject-specific improvement in one CCT exercise targeting early sensory processing-a speeded facial Emotion Matching Task (EMT)-was studied as potential proxy for target engagement. Based on the median split of SPC from the EMT, two patient groups were created. Resting-state activity was collected at baseline, and bold time series were extracted from two major default mode network (DMN) hubs: left medial prefrontal cortex (mPFC) and left posterior cingulate cortex (PCC). Seed rsFC analysis was performed using standardized Pearson correlation matrices, generated between the average time course for each seed and each voxel in the brain. Results: Based on SPC, we distinguished improvers-i.e., participants who showed impaired performance at baseline and reached the EMT psychophysical threshold during CCT-from maintainers-i.e., those who showed intact EMT performance at baseline and sustained the EMT psychophysical threshold throughout CCT. Compared to maintainers, improvers showed an increase of rsFC at rest between PCC and left superior and medial frontal regions and the cerebellum. Compared to improvers, maintainers showed increased rsFC at baseline between PCC and superior temporal and insular regions bilaterally. Conclusions: In ROP patients with an increase of connectivity at rest in the default mode network, social CCT is still able to induce sensory processing changes that however do not translate into social cognitive gains. Future studies should investigate if impairments in short-term synaptic plasticity are responsible for this lack of response and can be remediated by pharmacological augmentation during CCT.
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Affiliation(s)
- Lana Kambeitz-Ilankovic
- Department of Psychiatry, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Julian Wenzel
- Department of Psychiatry, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Shalaila S Haas
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Linda A Antonucci
- Department of Psychiatry, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.,Department of Education, Psychology, Communication, University of Bari "Aldo Moro", Bari, Italy
| | - Rachele Sanfelici
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany.,Max Planck School of Cognition, Leipzig, Germany
| | - Marco Paolini
- Department of Radiology, University Hospital, Ludwig-Maximilian-University, Munich, Germany
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Bruno Biagianti
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Department of R&D, Posit Science Corporation, San Francisco, CA, United States
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24
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McCleery A, Nuechterlein KH. Cognitive impairment in psychotic illness: prevalence, profile of impairment, developmental course, and treatment considerations
. DIALOGUES IN CLINICAL NEUROSCIENCE 2019; 21:239-248. [PMID: 31749648 PMCID: PMC6829172 DOI: 10.31887/dcns.2019.21.3/amccleery] [Citation(s) in RCA: 129] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Despite effective pharmacological treatments for psychotic symptoms (eg, hallucinations, delusions), functional outcomes for people with psychotic disorders are often disappointing. Although it is not included in the diagnostic criteria for psychotic disorders, cognitive impairment is one of the strongest determinants of community functioning in this clinical population, and thus it is an important target for intervention. In this review, we discuss the major areas of research regarding impaired cognition in psychotic illness. The specific topics covered include: (i) the prevalence of cognitive impairment in psychotic disorders; (ii) the profile and magnitude of cognitive impairment in psychotic disorders; (iii) the developmental course of cognitive impairment; (iv) the longitudinal stability of cognitive impairment; and (v) treatment approaches to improve cognitive performance in people with psychotic disorders.
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Affiliation(s)
- Amanda McCleery
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, US; VA Greater Los Angeles, VISN 22 MIRECC, Los Angeles, California, US
| | - Keith H Nuechterlein
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, US; UCLA Department of Psychology, Los Angeles, California, US
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25
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Anda L, Brønnick KK, Johannessen JO, Joa I, Kroken RA, Johnsen E, Rettenbacher M, Fathian F, Løberg EM. Cognitive Profile in Ultra High Risk for Psychosis and Schizophrenia: A Comparison Using Coordinated Norms. Front Psychiatry 2019; 10:695. [PMID: 31632305 PMCID: PMC6779770 DOI: 10.3389/fpsyt.2019.00695] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 08/28/2019] [Indexed: 01/18/2023] Open
Abstract
Background: Cognitive impairment is not only a core aspect of schizophrenia but also commonly observed in help-seeking youth at ultra high risk for psychosis (UHR), with potential implications for prognosis and individualized treatment. However, there is no consensus on the cognitive profile in the UHR state, partly due to lack of valid comparisons of performance in established schizophrenia and UHR. Objectives: To compare the cognitive functioning and profile of UHR subjects to a sample with schizophrenia, they were split into two groups based on duration of illness. Comparisons were made using coordinated norms based on healthy controls reflecting the younger UHR age spectrum. Methods: Participants for UHR (n = 51) and schizophrenia groups (n = 19 and n = 22) were included from the Prevention of Psychosis and Bergen Psychosis 2 projects. All subjects completed a comprehensive neurocognitive test battery aiming to measure speed of processing, working memory, verbal learning, reasoning, and problem solving, as well as visual problem solving. Cognitive functioning was compared between groups based on coordinated norms using z-scores derived by regression modeling from an age-matched healthy control group (n = 61). Results: UHR subjects showed significantly impaired speed of processing (p < 0.001) working memory (p = 0.042) and verbal learning, reasoning, and problem solving (p = 0.007) as compared to the control group. Visual problem-solving skills appeared unimpaired. UHR subjects significantly outperformed the schizophrenia group with duration of illness >3 years for speed of processing and working memory (both p < 0.001). There were no significant differences in performance between the UHR group and the group with duration of schizophrenia <3 years. Conclusion: Cognitive performance is impaired in UHR subjects as compared to healthy controls and should thus be monitored when a person is deemed at high risk of psychotic illness. Spatial skills, as measured by tests using physical objects, appear less affected than other domains. The pattern of impairment is similar to that of a group with recent onset schizophrenia but is less severe than in a group with duration of illness <3 years.
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Affiliation(s)
- Liss Anda
- TIPS Network for Clinical Psychosis Research, Stavanger University Hospital, Stavanger, Norway.,Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway.,Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Kolbjørn K Brønnick
- SESAM Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway.,Department of Public Health, Faculty of Health Sciences, University of Stavanger, Stavanger, Norway
| | - Jan Olav Johannessen
- TIPS Network for Clinical Psychosis Research, Stavanger University Hospital, Stavanger, Norway.,Department of Public Health, Faculty of Health Sciences, University of Stavanger, Stavanger, Norway
| | - Inge Joa
- TIPS Network for Clinical Psychosis Research, Stavanger University Hospital, Stavanger, Norway.,Department of Public Health, Faculty of Health Sciences, University of Stavanger, Stavanger, Norway
| | - Rune A Kroken
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Norwegian Centre for Mental Disorders Research, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Erik Johnsen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Norwegian Centre for Mental Disorders Research, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | | | - Farivar Fathian
- Outpatient Department, NKS Olaviken Gerontopsychiatric Hospital, Bergen, Norway
| | - Else-Marie Løberg
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Norwegian Centre for Mental Disorders Research, Haukeland University Hospital, Bergen, Norway.,Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Psychology, University of Bergen, Bergen, Norway
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