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Sağdıç M, Izgi B, Yapici Eser H, Ercis M, Üçok A, Kuşçu K. Face and emotion recognition in individuals diagnosed with schizophrenia, ultra-high risk for psychosis, unaffected siblings, and healthy controls in a sample from Turkey. Schizophr Res Cogn 2024; 36:100301. [PMID: 38328022 PMCID: PMC10848035 DOI: 10.1016/j.scog.2024.100301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 02/09/2024]
Abstract
Face and emotion recognition are crucial components of social cognition. We aimed to compare them in patients diagnosed with schizophrenia (SCZ), ultra-high risk for psychosis (UHR), unaffected siblings of schizophrenia patients (SIB), and healthy controls (HC). METHODS One hundred sixty-six participants (45 SCZ, 14 UHR, 45 SIB, and 62 HC) were interviewed with the Structured Clinical Interview for DSM-5 (SCID-5). Positive and Negative syndrome scale (PANSS), PennCNB Facial Memory (CPF), and Emotion Recognition Task (ER40) were applied. RESULTS In CPF, SCZ performed significantly lower than SIB and HC. SIB was also significantly lower than HC for total correct responses. The sample size of the UHR group was small, and the statistical comparisons did not reach a significance, however, a trend towards decreased performance between the SCZ and SIB was found. In ER40, SCZ performed significantly lower than HC and SIB in all domains, except for the insignificant findings for angry ER between SIB and SCZ. SIB also performed significantly lower than HC for angry, negative, and total ER. UHR was similar to SCZ for happy and sad ER and performed significantly lower than HC for happy ER. The effect of SCZ diagnosis on the efficiency of CPF and ER40 was significant when corrected for age and education. For SCZ, PANSS also significantly affected the CPF and ER40. CONCLUSION Our findings suggest varying levels of face and emotion recognition deficits in individuals with SCZ, UHR, and SIB. Face and emotion recognition deficits are promising schizophrenia endophenotypes related to social cognition.
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Affiliation(s)
- Meylin Sağdıç
- Marmara University, School of Medicine, Department of Psychiatry, İstanbul, Turkey
| | - Busra Izgi
- Koç University, Graduate School of Health Sciences, Istanbul, Turkey
- Koç University Research Center for Translational Medicine, İstanbul, Turkey
| | - Hale Yapici Eser
- Koç University, Graduate School of Health Sciences, Istanbul, Turkey
- Koç University, School of Medicine, Department of Psychiatry, İstanbul, Turkey
| | - Mete Ercis
- İstanbul University, Faculty of Medicine, Department of Psychiatry, İstanbul, Turkey
| | - Alp Üçok
- İstanbul University, Faculty of Medicine, Department of Psychiatry, İstanbul, Turkey
| | - Kemal Kuşçu
- Koç University, School of Medicine, Department of Psychiatry, İstanbul, Turkey
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Shivakumar AB, Kumari S, Mehak SF, Gangadharan G. Compulsive-like Behaviors in Amyloid-β 1-42-Induced Alzheimer's Disease in Mice Are Associated With Hippocampo-cortical Neural Circuit Dysfunction. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:773-784. [PMID: 37881551 PMCID: PMC10593884 DOI: 10.1016/j.bpsgos.2023.02.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/21/2023] [Accepted: 02/21/2023] [Indexed: 03/08/2023] Open
Abstract
Background In addition to memory deficits, patients with Alzheimer's disease (AD) experience neuropsychiatric disturbances. Recent studies have suggested the association of obsessive-compulsive disorder with the early stages of AD. However, there is a lack of understanding of the neurobiological underpinnings of compulsive-like behaviors at the neuronal circuit level and their relationship with AD. Methods We have addressed this issue in an amyloid-β 1-42-induced mouse model of AD by studying compulsive-like behaviors. Next, we compared the hippocampal and medial prefrontal cortex (mPFC) local field potential pattern and coherence between these regions of control and AD mice. We also assessed the expression pattern of acetylcholine and glutamatergic signaling in these regions, using quantitative polymerase chain reaction. Results Our findings show that AD mice exhibit compulsive-like behaviors, as evidenced by enhanced marble burying, nest building, and burrowing. Furthermore, AD mice exhibited hippocampo-cortical circuit dysfunction demonstrated by decreased power of rhythmic oscillations at the theta (4-12 Hz) and gamma (25-50 Hz) frequencies in the hippocampus and mPFC, two functionally interconnected brain regions involved both in AD and compulsive behaviors. Importantly, coherence between the hippocampus and mPFC in the theta band of AD animals was significantly reduced. Furthermore, we found reduced cholinergic and glutamatergic neurotransmission in the hippocampus and mPFC of AD mice. Conclusions We conclude that the hippocampo-cortical functional alterations may play a significant role in mediating the compulsive-like behaviors observed in AD mice. These findings may help in understanding the underlying circuit mechanisms of obsessive-compulsive disorder-like phenotypes associated with AD.
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Affiliation(s)
- Apoorva Bettagere Shivakumar
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Sparsha Kumari
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Sonam Fathima Mehak
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Gireesh Gangadharan
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Korda AI, Andreou C, Avram M, Handels H, Martinetz T, Borgwardt S. Chaos analysis of the brain topology in first-episode psychosis and clinical high risk patients. Front Psychiatry 2022; 13:965128. [PMID: 36311536 PMCID: PMC9606602 DOI: 10.3389/fpsyt.2022.965128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 09/16/2022] [Indexed: 11/17/2022] Open
Abstract
Structural MRI studies in first-episode psychosis (FEP) and in clinical high risk (CHR) patients have consistently shown volumetric abnormalities in frontal, temporal, and cingulate cortex areas. The aim of the present study was to employ chaos analysis for the identification of brain topology differences in people with psychosis. Structural MRI were acquired from 77 FEP, 73 CHR and 44 healthy controls (HC). Chaos analysis of the gray matter distribution was performed: First, the distances of each voxel from the center of mass in the gray matter image was calculated. Next, the distances multiplied by the voxel intensity were represented as a spatial-series, which then was analyzed by extracting the Largest-Lyapunov-Exponent (lambda). The lambda brain map depicts thus how the gray matter topology changes. Between-group differences were identified by (a) comparing the lambda brain maps, which resulted in statistically significant differences in FEP and CHR compared to HC; and (b) matching the lambda series with the Morlet wavelet, which resulted in statistically significant differences in the scalograms of FEP against CHR and HC. The proposed framework using spatial-series extraction enhances the between-group differences of FEP, CHR and HC subjects, verifies diagnosis-relevant features and may potentially contribute to the identification of structural biomarkers for psychosis.
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Affiliation(s)
- Alexandra I. Korda
- Translational Psychiatry, Department of Psychiatry and Psycotherapy, University of Lübeck, Lübeck, Germany
| | - Christina Andreou
- Translational Psychiatry, Department of Psychiatry and Psycotherapy, University of Lübeck, Lübeck, Germany
| | - Mihai Avram
- Translational Psychiatry, Department of Psychiatry and Psycotherapy, University of Lübeck, Lübeck, Germany
| | - Heinz Handels
- Institute of Medical Informatics, University of Lübeck, Lübeck, Germany
| | - Thomas Martinetz
- Institute for Neuro- and Bioinformatics, University of Lübeck, Lübeck, Germany
| | - Stefan Borgwardt
- Translational Psychiatry, Department of Psychiatry and Psycotherapy, University of Lübeck, Lübeck, Germany
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Abstract
Despite strong evidence of the neurodevelopmental origins of psychosis, current pharmacological treatment is not usually initiated until after a clinical diagnosis is made, and is focussed on antagonising striatal dopamine receptors. These drugs are only partially effective, have serious side effects, fail to alleviate the negative and cognitive symptoms of the disorder, and are not useful as a preventive treatment. In recent years, attention has turned to upstream brain regions that regulate striatal dopamine function, such as the hippocampus. This review draws together these recent data to discuss why the hippocampus may be especially vulnerable in the pathophysiology of psychosis. First, we describe the neurodevelopmental trajectory of the hippocampus and its susceptibility to dysfunction, exploring this region's proneness to structural and functional imbalances, metabolic pressures, and oxidative stress. We then examine mechanisms of hippocampal dysfunction in psychosis and in individuals at high-risk for psychosis and discuss how and when hippocampal abnormalities may be targeted in these groups. We conclude with future directions for prospective studies to unlock the discovery of novel therapeutic strategies targeting hippocampal circuit imbalances to prevent or delay the onset of psychosis.
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Haining K, Gajwani R, Gross J, Gumley AI, Ince RAA, Lawrie SM, Schultze-Lutter F, Schwannauer M, Uhlhaas PJ. Characterising cognitive heterogeneity in individuals at clinical high-risk for psychosis: a cluster analysis with clinical and functional outcome prediction. Eur Arch Psychiatry Clin Neurosci 2022; 272:437-448. [PMID: 34401957 PMCID: PMC8938352 DOI: 10.1007/s00406-021-01315-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 07/26/2021] [Indexed: 12/24/2022]
Abstract
Schizophrenia is characterised by cognitive impairments that are already present during early stages, including in the clinical high-risk for psychosis (CHR-P) state and first-episode psychosis (FEP). Moreover, data suggest the presence of distinct cognitive subtypes during early-stage psychosis, with evidence for spared vs. impaired cognitive profiles that may be differentially associated with symptomatic and functional outcomes. Using cluster analysis, we sought to determine whether cognitive subgroups were associated with clinical and functional outcomes in CHR-P individuals. Data were available for 146 CHR-P participants of whom 122 completed a 6- and/or 12-month follow-up; 15 FEP participants; 47 participants not fulfilling CHR-P criteria (CHR-Ns); and 53 healthy controls (HCs). We performed hierarchical cluster analysis on principal components derived from neurocognitive and social cognitive measures. Within the CHR-P group, clusters were compared on clinical and functional variables and examined for associations with global functioning, persistent attenuated psychotic symptoms and transition to psychosis. Two discrete cognitive subgroups emerged across all participants: 45.9% of CHR-P individuals were cognitively impaired compared to 93.3% of FEP, 29.8% of CHR-N and 30.2% of HC participants. Cognitively impaired CHR-P participants also had significantly poorer functioning at baseline and follow-up than their cognitively spared counterparts. Specifically, cluster membership predicted functional but not clinical outcome. Our findings support the existence of distinct cognitive subgroups in CHR-P individuals that are associated with functional outcomes, with implications for early intervention and the understanding of underlying developmental processes.
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Affiliation(s)
- Kate Haining
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
| | - Ruchika Gajwani
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Joachim Gross
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
- Institute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany
| | - Andrew I Gumley
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Robin A A Ince
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
| | - Stephen M Lawrie
- Department of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
- Department of Psychology and Mental Health, Faculty of Psychology, Airlangga University, Surabaya, Indonesia
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | | | - Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.
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Fusar-Poli L, Pries LK, van Os J, Erzin G, Delespaul P, Kenis G, Luykx JJ, Lin BD, Richards AL, Akdede B, Binbay T, Altınyazar V, Yalınçetin B, Gümüş-Akay G, Cihan B, Soygür H, Ulaş H, Cankurtaran EŞ, Kaymak SU, Mihaljevic MM, Andric-Petrovic S, Mirjanic T, Bernardo M, Mezquida G, Amoretti S, Bobes J, Saiz PA, García-Portilla MP, Sanjuan J, Aguilar EJ, Santos JL, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric NP, Atbaşoğlu C, Üçok A, Alptekin K, Saka MC, Aguglia E, Arango C, O'Donovan M, Rutten BPF, Guloksuz S. Examining facial emotion recognition as an intermediate phenotype for psychosis: Findings from the EUGEI study. Prog Neuropsychopharmacol Biol Psychiatry 2022; 113:110440. [PMID: 34536513 DOI: 10.1016/j.pnpbp.2021.110440] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/12/2021] [Accepted: 09/12/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Social cognition impairments, such as facial emotion recognition (FER), have been acknowledged since the earliest description of schizophrenia. Here, we tested FER as an intermediate phenotype for psychosis using two approaches that are indicators of genetic risk for schizophrenia: the proxy-genetic risk approach (family design) and the polygenic risk score for schizophrenia (PRS-SCZ). METHODS The sample comprised 2039 individuals with schizophrenia, 2141 siblings, and 2049 healthy controls (HC). The Degraded Facial Affect Recognition Task (DFAR) was applied to measure the FER accuracy. Schizotypal traits in siblings and HC were assessed using the Structured Interview for Schizotypy-Revised (SIS-R). The PRS-SCZ was trained using the Psychiatric Genomics Consortium results. Regression models were applied to test the association of DFAR with psychosis risk, SIS-R, and PRS-SCZ. RESULTS The DFAR-total scores were lower in individuals with schizophrenia than in siblings (RR = 0.97 [95% CI 0.97, 0.97]), who scored lower than HC (RR = 0.99 [95% CI 0.99-1.00]). The DFAR-total scores were negatively associated with SIS-R total scores in siblings (B = -2.04 [95% CI -3.72, -0.36]) and HC (B = -2.93 [95% CI -5.50, -0.36]). Different patterns of association were observed for individual emotions. No significant associations were found between DFAR scores and PRS-SCZ. CONCLUSIONS Our findings based on a proxy genetic risk approach suggest that FER deficits may represent an intermediate phenotype for schizophrenia. However, a significant association between FER and PRS-SCZ was not found. In the future, genetic mechanisms underlying FER phenotypes should be investigated trans-diagnostically.
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Affiliation(s)
- Laura Fusar-Poli
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Catania, Italy
| | - Lotta-Katrin Pries
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands; Department of Psychiatry, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Gamze Erzin
- Department of Psychiatry, University of Health Sciences Ankara Diskapi Training and Research Hospital, Ankara, Turkey
| | - Philippe Delespaul
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands; FACT, Mondriaan Mental Health, Maastricht, Netherlands
| | - Gunter Kenis
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Juryen J Luykx
- Department of Psychiatry, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; GGNet Mental Health, Apeldoorn, the Netherlands
| | - Bochao D Lin
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Alexander L Richards
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Berna Akdede
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Tolga Binbay
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Vesile Altınyazar
- Department of Psychiatry, Faculty of Medicine, Adnan Menderes University, Aydin, Turkey
| | - Berna Yalınçetin
- Department of Neuroscience, Graduate School of Health Sciences, Dokuz Eylul University, Izmir, Turkey
| | - Güvem Gümüş-Akay
- Department of Physiology, School of Medicine, Ankara University, Ankara, Turkey; Brain Research Center, Ankara University, Ankara, Turkey; Neuroscience and Neurotechnology Center of Excellence (NÖROM), Ankara, Turkey
| | - Burçin Cihan
- Department of Psychology, Middle East Technical University, Ankara, Turkey
| | - Haldun Soygür
- Turkish Federation of Schizophrenia Associations, Ankara, Turkey
| | - Halis Ulaş
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | | | | | - Marina M Mihaljevic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia; Clinic for Psychiatry Clinical Centre of Serbia, Belgrade, Serbia
| | - Sanja Andric-Petrovic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia; Clinic for Psychiatry Clinical Centre of Serbia, Belgrade, Serbia
| | - Tijana Mirjanic
- Special Hospital for Psychiatric Disorders Kovin, Kovin, Serbia
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain
| | - Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain
| | - Julio Bobes
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain; Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - Pilar A Saiz
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain; Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - Maria Paz García-Portilla
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain; Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - Julio Sanjuan
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, Hospital Clínico Universitario de Valencia, INCLIVA, School of Medicine, Universidad de Valencia, Valencia, Spain
| | - Eduardo J Aguilar
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, Hospital Clínico Universitario de Valencia, INCLIVA, School of Medicine, Universidad de Valencia, Valencia, Spain
| | - José Luis Santos
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, Hospital Virgen de la Luz, Cuenca, Spain
| | - Estela Jiménez-López
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Universidad de Castilla-La Mancha, Health and Social Research Center, Cuenca, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Instituto de Investigación Sanitaria, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Angel Carracedo
- Grupo de Medicina Genómica, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Universidad de Santiago de Compostela, Santiago de Compostela, Spain; Fundación Pública Galega de Medicina Xenómica (SERGAS), IDIS, Santiago de Compostela, Spain
| | - Gonzalo López
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 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
| | - Javier González-Peñas
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 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
| | - Mara Parellada
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 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
| | - Nadja P Maric
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia; Institute of Mental Health, Belgrade, Serbia
| | - Cem Atbaşoğlu
- Department of Psychiatry, School of Medicine, Ankara University, Ankara, Turkey
| | - Alp Üçok
- Department of Psychiatry, Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Köksal Alptekin
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey; Department of Neuroscience, Graduate School of Health Sciences, Dokuz Eylul University, Izmir, Turkey
| | - Meram Can Saka
- Department of Psychiatry, School of Medicine, Ankara University, Ankara, Turkey
| | | | - Eugenio Aguglia
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Catania, Italy
| | - Celso Arango
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), 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
| | - Michael O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States of America.
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Hedges EP, Dimitrov M, Zahid U, Brito Vega B, Si S, Dickson H, McGuire P, Williams S, Barker GJ, Kempton MJ. Reliability of structural MRI measurements: The effects of scan session, head tilt, inter-scan interval, acquisition sequence, FreeSurfer version and processing stream. Neuroimage 2022; 246:118751. [PMID: 34848299 PMCID: PMC8784825 DOI: 10.1016/j.neuroimage.2021.118751] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 11/18/2021] [Accepted: 11/20/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Large-scale longitudinal and multi-centre studies are used to explore neuroimaging markers of normal ageing, and neurodegenerative and mental health disorders. Longitudinal changes in brain structure are typically small, therefore the reliability of automated techniques is crucial. Determining the effects of different factors on reliability allows investigators to control those adversely affecting reliability, calculate statistical power, or even avoid particular brain measures with low reliability. This study examined the impact of several image acquisition and processing factors and documented the test-retest reliability of structural MRI measurements. METHODS In Phase I, 20 healthy adults (11 females; aged 20-30 years) were scanned on two occasions three weeks apart on the same scanner using the ADNI-3 protocol. On each occasion, individuals were scanned twice (repetition), after re-entering the scanner (reposition) and after tilting their head forward. At one year follow-up, nine returning individuals and 11 new volunteers were recruited for Phase II (11 females; aged 22-31 years). Scans were acquired on two different scanners using the ADNI-2 and ADNI-3 protocols. Structural images were processed using FreeSurfer (v5.3.0, 6.0.0 and 7.1.0) to provide subcortical and cortical volume, cortical surface area and thickness measurements. Intra-class correlation coefficients (ICC) were calculated to estimate test-retest reliability. We examined the effect of repetition, reposition, head tilt, time between scans, MRI sequence and scanner on reliability of structural brain measurements. Mean percentage differences were also calculated in supplementary analyses. RESULTS Using the FreeSurfer v7.1.0 longitudinal pipeline, we observed high reliability for subcortical and cortical volumes, and cortical surface areas at repetition, reposition, three weeks and one year (mean ICCs>0.97). Cortical thickness reliability was lower (mean ICCs>0.82). Head tilt had the greatest adverse impact on ICC estimates, for example reducing mean right cortical thickness to ICC=0.74. In contrast, changes in ADNI sequence or MRI scanner had a minimal effect. We observed an increase in reliability for updated FreeSurfer versions, with the longitudinal pipeline consistently having a higher reliability than the cross-sectional pipeline. DISCUSSION Longitudinal studies should monitor or control head tilt to maximise reliability. We provided the ICC estimates and mean percentage differences for all FreeSurfer brain regions, which may inform power analyses for clinical studies and have implications for the design of future longitudinal studies.
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Affiliation(s)
- Emily P Hedges
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, United Kingdom.
| | - Mihail Dimitrov
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Uzma Zahid
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, United Kingdom
| | - Barbara Brito Vega
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, United Kingdom
| | - Shuqing Si
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, United Kingdom
| | - Hannah Dickson
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, United Kingdom
| | - Steven Williams
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Gareth J Barker
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Matthew J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, United Kingdom
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Brunner G, Gajwani R, Gross J, Gumley AI, Krishnadas R, Lawrie SM, Schwannauer M, Schultze-Lutter F, Fracasso A, Uhlhaas PJ. Hippocampal structural alterations in early-stage psychosis: Specificity and relationship to clinical outcomes. NEUROIMAGE: CLINICAL 2022; 35:103087. [PMID: 35780662 PMCID: PMC9421451 DOI: 10.1016/j.nicl.2022.103087] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/09/2022] [Accepted: 06/13/2022] [Indexed: 11/30/2022] Open
Abstract
Individuals with early-stage psychosis show reduced hippocampal volumes. FEP show bilateral and widespread changes, while left hemisphere is affected in CHR-P. However, hippocampal changes do not show a relationship with clinical outcomes.
Hippocampal dysfunctions are a core feature of schizophrenia, but conflicting evidence exists whether volumetric and morphological changes are present in early-stage psychosis and to what extent these deficits are related to clinical trajectories. In this study, we recruited individuals at clinical high risk for psychosis (CHR-P) (n = 108), patients with a first episode of psychosis (FEP) (n = 37), healthy controls (HC) (n = 70) as well as a psychiatric control group with substance abuse and affective disorders (CHR-N: n = 38). MRI-data at baseline were obtained and volumetric as well as vertex analyses of the hippocampus were carried out. Moreover, volumetric changes were examined in the amygdala, caudate, nucleus accumbens, pallidum, putamen and thalamus. In addition, we obtained follow-up functional and symptomatic assessments in CHR-P individuals to examine the question whether anatomical deficits at baseline predicted clinical trajectories. Our results show that the hippocampus is the only structure showing significant volumetric decrease in early-stage psychosis, with FEPs showing significantly smaller hippocampal volumes bilaterally alongside widespread shape changes in the vertex analysis. For the CHR-P group, volumetric decreases were confined to the left hippocampus. However, hippocampal alterations in the CHR-P group were not robustly associated with clinical outcomes, including the persistence of attenuated psychotic symptoms and functional trajectories. Accordingly, our findings highlight that dysfunctions in hippocampal anatomy are an important feature of early-stage psychosis which may, however, not be related to clinical outcomes in CHR-P participants.
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Affiliation(s)
- Gina Brunner
- Institute for Neuroscience and Psychology, Univ. of Glasgow, UK
| | | | - Joachim Gross
- Institute for Neuroscience and Psychology, Univ. of Glasgow, UK; Institute of Biomagnetism and Biosignalanalysis, University of Muenster, Muenster, Germany
| | | | | | | | | | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Department of Psychology, Faculty of Psychology, Airlangga University, Airlangga, Indonesia; University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland
| | | | - Peter J Uhlhaas
- Institute for Neuroscience and Psychology, Univ. of Glasgow, UK; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.
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9
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Tognin S, Richter A, Kempton MJ, Modinos G, Antoniades M, Azis M, Allen P, Bossong MG, Perez J, Pantelis C, Nelson B, Amminger P, Riecher-Rössler A, Barrantes-Vidal N, Krebs MO, Glenthøj B, Ruhrmann S, Sachs G, Rutten BPF, de Haan L, van der Gaag M, Valmaggia LR, McGuire P, Antoniades M, Pisani S, Modinos G, de Haan L, van der Gaag M, Velthorst E, Kraan TC, van Dam DS, Burger N, Nelson B, McGorry P, Amminger GP, Pantelis C, Politis A, Goodall J, Riecher-Rössler A, Borgwardt S, Studerus E, Bressan R, Gadelha A, Brietzke E, Asevedo G, Asevedo E, Zugman A, Barrantes-Vidal N, Domínguez-Martínez T, Racciopi A, Kwapil TR, Monsonet M, Hinojosa L, Kazes M, Daban C, Bourgin J, Gay O, Mam-Lam-Fook C, Krebs MO, Nordholm D, Randers L, Krakauer K, Glenthøj L, Glenthøj B, Nordentoft M, Ruhrmann S, Gebhard D, Arnhold J, Klosterkötter J, Sachs G, Lasser I, Winklbaur B, Aschauer H, Delespaul PA, Rutten BP, van Os J, Valmaggia LR, McGuire P. The Relationship Between Grey Matter Volume and Clinical and Functional Outcomes in People at Clinical High Risk for Psychosis. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgac040. [PMID: 35903803 PMCID: PMC9309497 DOI: 10.1093/schizbullopen/sgac040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Objective To examine the association between baseline alterations in grey matter volume (GMV) and clinical and functional outcomes in people at clinical high risk (CHR) for psychosis. Methods 265 CHR individuals and 92 healthy controls were recruited as part of a prospective multi-center study. After a baseline assessment using magnetic resonance imaging (MRI), participants were followed for at least two years to determine clinical and functional outcomes, including transition to psychosis (according to the Comprehensive Assessment of an At Risk Mental State, CAARMS), level of functioning (according to the Global Assessment of Functioning), and symptomatic remission (according to the CAARMS). GMV was measured in selected cortical and subcortical regions of interest (ROI) based on previous studies (ie orbitofrontal gyrus, cingulate gyrus, gyrus rectus, inferior temporal gyrus, parahippocampal gyrus, striatum, and hippocampus). Using voxel-based morphometry, we analysed the relationship between GMV and clinical and functional outcomes. Results Within the CHR sample, a poor functional outcome (GAF < 65) was associated with relatively lower GMV in the right striatum at baseline (P < .047 after Family Wise Error correction). There were no significant associations between baseline GMV and either subsequent remission or transition to psychosis. Conclusions In CHR individuals, lower striatal GMV was associated with a poor level of overall functioning at follow-up. This finding was not related to effects of antipsychotic or antidepressant medication. The failure to replicate previous associations between GMV and later psychosis onset, despite studying a relatively large sample, is consistent with the findings of recent large-scale multi-center studies.
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Affiliation(s)
- Stefania Tognin
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Anja Richter
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Matthew J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Gemma Modinos
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Mathilde Antoniades
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Matilda Azis
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Matthijs G Bossong
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Jesus Perez
- CAMEO Early Intervention in Psychosis Services, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Christos Pantelis
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne & Melbourne Health, Carlton South, Victoria, Australia
| | | | | | | | - Neus Barrantes-Vidal
- Departament de Psicologia Clínica i de la Salut (Universitat Autònoma de Barcelona), Fundació Sanitària Sant Pere Claver (Spain), Center for Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain
| | - Marie-Odile Krebs
- University of Paris, GHU-Paris, Sainte-Anne, C'JAAD, Hospitalo-Universitaire department SHU, Inserm U1266, Institut de Psychiatrie (CNRS 3557), Paris, France
| | - Birte Glenthøj
- Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Services Capital Region of Denmark, Mental Health Center Glostrup, Glostrup, Denmark
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital University of Cologne, Cologne, Germany
| | - Gabriele Sachs
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands
| | - Lieuwe de Haan
- Early Psychosis Department, Amsterdam UMC, Amsterdam, The Netherlands
| | - Mark van der Gaag
- Department of Clinical Psychology and Amsterdam Public Mental Health Research Institute, Faculty of Behavioural and Movement Sciences, VU University, Amsterdam, The Netherlands
| | | | - Lucia R Valmaggia
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Lucia R Valmaggia
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King’s College London , UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London , UK
- National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) , UK
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10
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Vita A, Gaebel W, Mucci A, Sachs G, Erfurth A, Barlati S, Zanca F, Giordano GM, Birkedal Glenthøj L, Nordentoft M, Galderisi S. European Psychiatric Association guidance on assessment of cognitive impairment in schizophrenia. Eur Psychiatry 2022; 65:e58. [PMID: 36059109 PMCID: PMC9532219 DOI: 10.1192/j.eurpsy.2022.2316] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Background Impairment in a wide range of cognitive abilities has been consistently reported in individuals with schizophrenia. Both neurocognitive and social cognitive deficits are thought to underlie severe functional disabilities associated with schizophrenia. Despite the key role in schizophrenia outcome, cognition is still poorly assessed in both research and clinical settings. Methods In this guidance paper, we provide a systematic review of the scientific literature and elaborate several recommendations for the assessment of cognitive functions in schizophrenia both in research settings and in real-world clinical practice. Results Expert consensus and systematic reviews provided guidance for the optimal assessment of cognitive functions in schizophrenia. Based on the reviewed evidence, we recommend a comprehensive and systematic assessment of neurocognitive and social cognitive domains in schizophrenia, in all phases of the disorder, as well as in subjects at risk to develop psychosis. This European Psychiatric Association guidance recommends not only the use of observer reports but also self-reports and interview-based cognitive assessment tools. The guidance also provides a systematic review of the state of the art of assessment in the first episode of psychosis patients and in individuals at risk for psychosis. Conclusion The comprehensive review of the evidence and the recommendations might contribute to advance the field, allowing a better cognitive assessment, and avoiding overlaps with other psychopathological dimensions. The dissemination of this guidance paper may promote the development of shared guidelines concerning the assessment of cognitive functions in schizophrenia, with the purpose to improve the quality of care and to obtain recovery.
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11
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Salokangas RKR, From T, Ilonen T, Luutonen S, Heinimaa M, Armio RL, Laurikainen H, Walta M, Paju J, Toivonen A, Jalo P, Tuominen L, Hietala J. Short-term functional outcome in psychotic patients: results of the Turku early psychosis study (TEPS). BMC Psychiatry 2021; 21:602. [PMID: 34856968 PMCID: PMC8641211 DOI: 10.1186/s12888-021-03516-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 09/28/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Functional recovery of patients with clinical and subclinical psychosis is associated with clinical, neuropsychological and developmental factors. Less is known about how these factors predict functional outcomes in the same models. We investigated functional outcomes and their predictors in patients with first-episode psychosis (FEP) or a confirmed or nonconfirmed clinical high risk of psychosis (CHR-P vs. CHR-N). METHODS Altogether, 130 patients with FEP, 60 patients with CHR-P and 47 patients with CHR-N were recruited and extensively examined at baseline (T0) and 9 (T1) and 18 (T2) months later. Global Assessment of Functioning (GAF) at T0, T1 and T2 and psychotic, depression, and anxiety symptoms at T1 and T2 were assessed. Functional outcomes were predicted using multivariate repeated ANOVA. RESULTS During follow-up, the GAF score improved significantly in patients with FEP and CHR-P but not in patients with CHR-N. A single marital status, low basic education level, poor work situation, disorganization symptoms, perceptual deficits, and poor premorbid adjustment in patients with FEP, disorganization symptoms and poor premorbid adjustment in patients with CHR-P, and a low basic education level, poor work situation and general symptoms in patients with CHR-N predicted poor functional outcomes. Psychotic symptoms at T1 in patients with FEP and psychotic and depression symptoms at T1 and anxiety symptoms at T2 in patients with CHR-P were associated with poor functioning. CONCLUSIONS In patients with FEP and CHR-P, poor premorbid adjustment and disorganization symptomatology are common predictors of the functional outcome, while a low education level and poor work situation predict worse functional outcomes in patients with FEP and CHR-N. Interventions aimed at improving the ability to work and study are most important in improving the functioning of patients with clinical or subclinical psychosis.
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Affiliation(s)
- Raimo K R Salokangas
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland.
| | - Tiina From
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Tuula Ilonen
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Sinikka Luutonen
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
- Department of Psychiatry, Turku University Hospital, Turku, Finland
| | - Markus Heinimaa
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Reetta-Liina Armio
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Heikki Laurikainen
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Maija Walta
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Janina Paju
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Anna Toivonen
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
| | - Päivi Jalo
- Department of Psychiatry, Turku University Hospital, Turku, Finland
| | - Lauri Tuominen
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
- Royal Ottawa Mental Health Centre, Ottawa, Canada
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, Kunnallissairaalantie 20, FIN-20700, Turku, Finland
- Department of Psychiatry, Turku University Hospital, Turku, Finland
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12
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Leathem LD, Currin DL, Montoya AK, Karlsgodt KH. Socioemotional mechanisms of loneliness in subclinical psychosis. Schizophr Res 2021; 238:145-151. [PMID: 34688116 PMCID: PMC8896506 DOI: 10.1016/j.schres.2021.10.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 09/24/2021] [Accepted: 10/03/2021] [Indexed: 01/31/2023]
Abstract
Loneliness is an important predictor of physical and mental health in the general population and in individuals across the psychosis spectrum, including those experiencing subclinical psychotic-like experiences (PLEs). However, the mechanisms underlying loneliness in the psychosis spectrum are not well understood. Emotion processing deficits are well described across the psychosis spectrum, and socioemotional processing biases are critical for the development and maintenance of loneliness through altered social appraisal, including judgements of rejection. Therefore, we propose that PLEs are associated with increased loneliness, and the relationship is mediated by alterations in socioemotional processing. We also explored how this pathway may be affected by mood and anxiety symptoms, which have been associated with loneliness across the psychosis spectrum. As part of the Human Connectome Project, generally healthy adults (n = 1180) reported symptomatology and social functioning and completed the Penn Emotion Recognition Task to assess efficiency in identifying emotions. We found that higher reported PLEs were associated with elevated levels of loneliness and perceived rejection and that these factors were linked by multiple independent pathways. First, anxiety/depression and emotion processing efficiency independently mediated the PLE-loneliness relationship. Second, we found that the association between PLEs and loneliness was serially mediated through inefficient emotion recognition then higher levels of perceived rejection. These separable mechanisms of increased loneliness in subclinical psychosis have implications for treatment and continued study of social functioning in the psychosis spectrum.
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Affiliation(s)
- Logan D. Leathem
- Department of Psychology, University of California, Los Angeles, United States of America,Corresponding author at: Department of Psychology, UCLA, 502 Portola Plaza, 1285 Psychology Building, Los Angeles, CA 90095, United States of America. (L.D. Leathem)
| | - Danielle L. Currin
- Department of Psychology, University of California, Los Angeles, United States of America
| | - Amanda K. Montoya
- Department of Psychology, University of California, Los Angeles, United States of America
| | - Katherine H. Karlsgodt
- Department of Psychology, University of California, Los Angeles, United States of America,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, United States of America
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13
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Modinos G, Richter A, Egerton A, Bonoldi I, Azis M, Antoniades M, Bossong M, Crossley N, Perez J, Stone JM, Veronese M, Zelaya F, Grace AA, Howes OD, Allen P, McGuire P. Interactions between hippocampal activity and striatal dopamine in people at clinical high risk for psychosis: relationship to adverse outcomes. Neuropsychopharmacology 2021; 46:1468-1474. [PMID: 33941857 PMCID: PMC8209204 DOI: 10.1038/s41386-021-01019-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 04/06/2021] [Accepted: 04/08/2021] [Indexed: 02/08/2023]
Abstract
Preclinical models propose that increased hippocampal activity drives subcortical dopaminergic dysfunction and leads to psychosis-like symptoms and behaviors. Here, we used multimodal neuroimaging to examine the relationship between hippocampal regional cerebral blood flow (rCBF) and striatal dopamine synthesis capacity in people at clinical high risk (CHR) for psychosis and investigated its association with subsequent clinical and functional outcomes. Ninety-five participants (67 CHR and 28 healthy controls) underwent arterial spin labeling MRI and 18F-DOPA PET imaging at baseline. CHR participants were followed up for a median of 15 months to determine functional outcomes with the global assessment of function (GAF) scale and clinical outcomes using the comprehensive assessment of at-risk mental states (CAARMS). CHR participants with poor functional outcomes (follow-up GAF < 65, n = 25) showed higher rCBF in the right hippocampus compared to CHRs with good functional outcomes (GAF ≥ 65, n = 25) (pfwe = 0.026). The relationship between rCBF in this right hippocampal region and striatal dopamine synthesis capacity was also significantly different between groups (pfwe = 0.035); the association was negative in CHR with poor outcomes (pfwe = 0.012), but non-significant in CHR with good outcomes. Furthermore, the correlation between right hippocampal rCBF and striatal dopamine function predicted a longitudinal increase in the severity of positive psychotic symptoms within the total CHR group (p = 0.041). There were no differences in rCBF, dopamine, or their associations in the total CHR group relative to controls. These findings indicate that altered interactions between the hippocampus and the subcortical dopamine system are implicated in the pathophysiology of adverse outcomes in the CHR state.
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Affiliation(s)
- Gemma Modinos
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. .,Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. .,MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK.
| | - Anja Richter
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ilaria Bonoldi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Matilda Azis
- Department of Psychology, Northwestern University, Chicago, IL, USA
| | - Mathilde Antoniades
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthijs Bossong
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Nicolas Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Jesus Perez
- CAMEO Early Intervention in Psychosis Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.,Department of Psychiatry, University of Cambridge, Cambridge, UK.,Department of Neuroscience, Instituto de Investigación Biomédica de Salamanca (IBSAL), University of Salamanca, Salamanca, Spain
| | - James M Stone
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,South London and Maudsley Foundation NHS Trust, Maudsley Hospital, London, UK
| | - Mattia Veronese
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Fernando Zelaya
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Anthony A Grace
- Departments of Neuroscience, Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK.,South London and Maudsley Foundation NHS Trust, Maudsley Hospital, London, UK.,MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital, London, UK
| | - Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Department of Psychology, University of Roehampton, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK.,South London and Maudsley Foundation NHS Trust, Maudsley Hospital, London, UK
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14
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Haining K, Brunner G, Gajwani R, Gross J, Gumley AI, Lawrie SM, Schwannauer M, Schultze-Lutter F, Uhlhaas PJ. The relationship between cognitive deficits and impaired short-term functional outcome in clinical high-risk for psychosis participants: A machine learning and modelling approach. Schizophr Res 2021; 231:24-31. [PMID: 33744682 DOI: 10.1016/j.schres.2021.02.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 09/08/2020] [Accepted: 02/27/2021] [Indexed: 11/29/2022]
Abstract
Poor functional outcomes are common in individuals at clinical high-risk for psychosis (CHR-P), but the contribution of cognitive deficits remains unclear. We examined the potential utility of cognitive variables in predictive models of functioning at baseline and follow-up with machine learning methods. Additional models fitted on baseline functioning variables were used as a benchmark to evaluate model performance. Data were available for 1) 146 CHR-P individuals of whom 118 completed a 6- and/or 12-month follow-up, 2) 47 participants not fulfilling CHR criteria (CHR-Ns) but displaying affective and substance use disorders and 3) 55 healthy controls (HCs). Predictors of baseline global assessment of functioning (GAF) scores were selected by L1-regularised least angle regression and then used to train classifiers to predict functional outcome in CHR-P individuals. In CHR-P participants, cognitive deficits together with clinical and functioning variables explained 41% of the variance in baseline GAF scores while cognitive variables alone explained 12%. These variables allowed classification of functional outcome with an average balanced accuracy (BAC) of 63% in both mixed- and cross-site models. However, higher accuracies (68%-70%) were achieved using classifiers fitted only on baseline functioning variables. Our findings suggest that cognitive deficits, alongside clinical and functioning variables, displayed robust relationships with impaired functioning in CHR-P participants at baseline and follow-up. Moreover, these variables allow for prediction of functional outcome. However, models based on baseline functioning variables showed a similar performance, highlighting the need to develop more accurate algorithms for predicting functional outcome in CHR-P participants.
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Affiliation(s)
- Kate Haining
- Institute for Neuroscience and Psychology, Univ. of Glasgow, United Kingdom of Great Britain and Northern Ireland
| | - Gina Brunner
- Institute for Neuroscience and Psychology, Univ. of Glasgow, United Kingdom of Great Britain and Northern Ireland
| | - Ruchika Gajwani
- Institute of Health and Wellbeing, Univ. of Glasgow, United Kingdom of Great Britain and Northern Ireland
| | - Joachim Gross
- Institute for Neuroscience and Psychology, Univ. of Glasgow, United Kingdom of Great Britain and Northern Ireland
| | - Andrew I Gumley
- Institute of Health and Wellbeing, Univ. of Glasgow, United Kingdom of Great Britain and Northern Ireland
| | - Stephen M Lawrie
- Department of Psychiatry, Univ. of Edinburgh, United Kingdom of Great Britain and Northern Ireland
| | - Matthias Schwannauer
- Department of Clinical Psychology, Univ. Edinburgh, United Kingdom of Great Britain and Northern Ireland
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Department of Psychology and Mental Health, Faculty of Psychology, Airlangga University, Airlangga 4-6, Surabaya 60286, Indonesia; University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bolligenstr. 111, 3000 Bern 60, Switzerland
| | - Peter J Uhlhaas
- Institute for Neuroscience and Psychology, Univ. of Glasgow, United Kingdom of Great Britain and Northern Ireland; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.
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15
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Volovik DD, Omelchenko MA, Ivanova AM. Emotional Response to Humour Perception and Gelotophobia Among Healthy Individuals and Patients with Schizophrenia and Depression, with Signs of a High Clinical Risk of Psychosis. CONSORTIUM PSYCHIATRICUM 2021; 2:8-17. [PMID: 38601097 PMCID: PMC11003346 DOI: 10.17816/cp65] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 03/15/2021] [Indexed: 11/08/2022] Open
Abstract
Introduction Investigating early changes in the emotional sphere within the schizophrenia course is a perspective direction in clinical psychology and psychiatry. Intactness of positive emotions, in particular, humour perception, may be a very important resource for patients. At the same time, humour perception is very sensitive to pathological conditions, such as the fear of being laughed at, known as gelotophobia. Those with gelotophobia perceive laughter as dangerous, rather than pleasant, and they can hardly distinguish between teasing and ridicule. Gelotophobia was confirmed to be expressed among people with mental disorders. Nonetheless, knowledge relating to the fear of being laughed at, was mostly generated among the non-clinical samples. Objectives Thus, the aim of the study was to provide more clinical data on gelotophobia manifestations associated with schizophrenia spectrum disorders; the emotional response and facial expression of patients with gelotophobia were studied, in particular, regarding their perception of humour, including during the early stages of disorders, by comparison with healthy individuals. Methods n=30 controls and n=32 patients with schizophrenia and with depression with signs of a high clinical risk of psychosis took part. Two short videos, comic and neutral, were shown to the participants, while videotaping their facial expression, followed each by a self-reported measure of emotional responses. Participants also completed the State-Trait Anxiety Inventory, the PhoPhiKat30 and the Toronto Alexithymia Scale. Results Gelotophobia was significantly higher within the clinical group. It correlated with a lower frequency of grins among the patients during the comic video, while this was not the case in the control group. Gelotophobia was related to state and trait anxiety in both groups, but only in the clinical group did state anxiety increase after watching the comic video. Gelotophobia correlated with alexithymia and was twice higher among the patients compared to the controls. Conclusion Thus, gelotophobia has not only quantitative, but also qualitative specifics in patients with schizophrenia, and those with depression with signs of a clinically high risk of psychosis, compared to healthy controls.
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Lukow PB, Kiemes A, Kempton MJ, Turkheimer FE, McGuire P, Modinos G. Neural correlates of emotional processing in psychosis risk and onset - A systematic review and meta-analysis of fMRI studies. Neurosci Biobehav Rev 2021; 128:780-788. [PMID: 33722617 PMCID: PMC8345001 DOI: 10.1016/j.neubiorev.2021.03.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/17/2020] [Accepted: 03/08/2021] [Indexed: 11/16/2022]
Abstract
The neural bases of altered emotion processing in psychosis are still unclear. Systematic review indicated widespread activation decreases to emotion in first-episode psychosis. Evidence in people at clinical high-risk for psychosis lacked convergence. These findings were corroborated by image-based meta-analyses.
Aberrant emotion processing is a well-established component of psychotic disorders and is already present at the first episode of psychosis (FEP). However, the role of emotion processing abnormalities in the emergence of psychosis and the underlying neurobiology remain unclear. Here, we systematically reviewed functional magnetic resonance studies that used emotion processing task paradigms in FEP patients, and in people at clinical high-risk for psychosis (CHRp). Image-based meta-analyses with Seed-based d Mapping on available studies (n = 6) were also performed. Compared to controls, FEP patients showed decreased neural responses to emotion, particularly in the amygdala and anterior cingulate cortex. There were no significant differences between CHRp subjects and controls, but a high degree of heterogeneity was identified across studies. The role of altered emotion processing in the early phase of psychosis may be clarified through more homogenous experimental designs, particularly in the CHRp population.
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Affiliation(s)
- P B Lukow
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, UK.
| | - A Kiemes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, UK.
| | - M J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, UK.
| | - F E Turkheimer
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, UK.
| | - P McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, UK.
| | - G Modinos
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, SE5 8AF, London, UK; MRC Centre for Neurodevelopmental Disorders, King's College London, new hunt's House, Guy's Campus, SE1 1UL, London, UK.
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17
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Dickens AM, Sen P, Kempton MJ, Barrantes-Vidal N, Iyegbe C, Nordentoft M, Pollak T, Riecher-Rössler A, Ruhrmann S, Sachs G, Bressan R, Krebs MO, Amminger GP, de Haan L, van der Gaag M, Valmaggia L, Hyötyläinen T, Orešič M, McGuire P. Dysregulated Lipid Metabolism Precedes Onset of Psychosis. Biol Psychiatry 2021; 89:288-297. [PMID: 32928501 DOI: 10.1016/j.biopsych.2020.07.012] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 06/16/2020] [Accepted: 07/19/2020] [Indexed: 01/21/2023]
Abstract
BACKGROUND A key clinical challenge in the management of individuals at clinical high risk for psychosis (CHR) is that it is difficult to predict their future clinical outcomes. Here, we investigated if the levels of circulating molecular lipids are related to adverse clinical outcomes in this group. METHODS Serum lipidomic analysis was performed in 263 CHR individuals and 51 healthy control subjects, who were then clinically monitored for up to 5 years. Machine learning was used to identify lipid profiles that discriminated between CHR and control subjects, and between subgroups of CHR subjects with distinct clinical outcomes. RESULTS At baseline, compared with control subjects, CHR subjects (independent of outcome) had higher levels of triacylglycerols with a low acyl carbon number and a double bond count, as well as higher levels of lipids in general. CHR subjects who subsequently developed psychosis (n = 50) were distinguished from those that did not (n = 213) on the basis of lipid profile at baseline using a model with an area under the receiver operating curve of 0.81 (95% confidence interval = 0.69-0.93). CHR subjects who became psychotic had lower levels of ether phospholipids than CHR individuals who did not (p < .01). CONCLUSIONS Collectively, these data suggest that lipidomic abnormalities predate the onset of psychosis and that blood lipidomic measures may be useful in predicting which CHR individuals are most likely to develop psychosis.
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Affiliation(s)
- Alex M Dickens
- Turku Bioscience Center, University of Turku and Åbo Akademi University, Turku, Finland
| | - Partho Sen
- Turku Bioscience Center, University of Turku and Åbo Akademi University, Turku, Finland
| | - Matthew J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Neus Barrantes-Vidal
- Departament de Psicologia Clínica i de la Salut, Universitat Autònoma de Barcelona, Fundació Sanitària Sant Pere Claver, Spanish Mental Health Research Network, Barcelona, Spain
| | - Conrad Iyegbe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Merete Nordentoft
- Mental Health Center Copenhagen and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Mental Health Services in the Capital Region of Copenhagen, University of Copenhagen, Glostrup, Denmark
| | - Thomas Pollak
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | | | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Gabriele Sachs
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Rodrigo Bressan
- Lab Interdisciplinar Neurociências Clínicas, Departimento Psiquiatria, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Marie-Odile Krebs
- University of Paris, Groupe Hospitalier Universitaire Paris Sainte-Anne, Centre d'Évaluation Pour Jeunes Adultes et Adolescents, Institut National de la Santé et de la Recherche Médicale U1266, Institut de Psychiatrie, Centre National de la Recherche Scientifique 3557, Paris, France
| | - G Paul Amminger
- Centre for Youth Mental Health, University of Melbourne, Parkville, Victoria, Australia
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam University Medical Center, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands
| | - Mark van der Gaag
- Department of Clinical Psychology and EMGO+ Institute for Health and Care Research, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands; Department of Psychosis Research, Parnassia Psychiatric Institute, The Hague, The Netherlands
| | - Lucia Valmaggia
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | | | | | - Matej Orešič
- Turku Bioscience Center, University of Turku and Åbo Akademi University, Turku, Finland; School of Medical Sciences, Örebro University, Örebro, Sweden.
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
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18
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Davies C, Wilson R, Appiah-Kusi E, Blest-Hopley G, Brammer M, Perez J, Murray RM, Allen P, Bossong MG, McGuire P, Bhattacharyya S. A single dose of cannabidiol modulates medial temporal and striatal function during fear processing in people at clinical high risk for psychosis. Transl Psychiatry 2020; 10:311. [PMID: 32921794 PMCID: PMC7487274 DOI: 10.1038/s41398-020-0862-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 04/21/2020] [Accepted: 04/28/2020] [Indexed: 12/23/2022] Open
Abstract
Emotional dysregulation and anxiety are common in people at clinical high risk for psychosis (CHR) and are associated with altered neural responses to emotional stimuli in the striatum and medial temporal lobe. Using a randomised, double-blind, parallel-group design, 33 CHR patients were randomised to a single oral dose of CBD (600 mg) or placebo. Healthy controls (n = 19) were studied under identical conditions but did not receive any drug. Participants were scanned with functional magnetic resonance imaging (fMRI) during a fearful face-processing paradigm. Activation related to the CHR state and to the effects of CBD was examined using a region-of-interest approach. During fear processing, CHR participants receiving placebo (n = 15) showed greater activation than controls (n = 19) in the parahippocampal gyrus but less activation in the striatum. Within these regions, activation in the CHR group that received CBD (n = 15) was intermediate between that of the CHR placebo and control groups. These findings suggest that in CHR patients, CBD modulates brain function in regions implicated in psychosis risk and emotion processing. These findings are similar to those previously evident using a memory paradigm, suggesting that the effects of CBD on medial temporal and striatal function may be task independent.
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Affiliation(s)
- Cathy Davies
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Robin Wilson
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Elizabeth Appiah-Kusi
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Grace Blest-Hopley
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Michael Brammer
- grid.13097.3c0000 0001 2322 6764Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Jesus Perez
- grid.450563.10000 0004 0412 9303CAMEO Early Intervention Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Robin M. Murray
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Paul Allen
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK ,grid.35349.380000 0001 0468 7274Department of Psychology, University of Roehampton, London, UK ,grid.416167.3Icahn School of Medicine, Mount Sinai Hospital, New York, NY USA
| | - Matthijs G. Bossong
- grid.5477.10000000120346234Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Philip McGuire
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK ,grid.37640.360000 0000 9439 0839National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, London, UK ,grid.37640.360000 0000 9439 0839Outreach And Support in South London (OASIS) Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Sagnik Bhattacharyya
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
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DeRosse P, Barber AD. Overlapping Neurobiological Substrates for Early-Life Stress and Resilience to Psychosis. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 6:144-153. [PMID: 33097471 DOI: 10.1016/j.bpsc.2020.09.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 09/02/2020] [Accepted: 09/02/2020] [Indexed: 10/23/2022]
Abstract
Early-life stress, such as childhood maltreatment, is a well-known etiological factor in psychopathology, including psychosis. Exposure to early-life stress disrupts the neurodevelopment of widespread brain systems, including key components of the hypothalamic-pituitary-adrenal axis stress response, such as the amygdala, hippocampus, and medial prefrontal cortex, as well as key components of the brain's reward system, such as the nucleus accumbens and orbitofrontal cortex. These disruptions have a considerable impact on the function of emotion and reward circuitry, which play a central role in the emergence and severity of psychosis. While this overlap may provide insight into the pathophysiology of psychosis, it also provides unique opportunities to elucidate neurobiological substrates that may promote resilience to psychosis. In this review, we discuss the hypothalamic-pituitary-adrenal axis stress response, discuss the disruption in the neurodevelopment of emotion and reward processing associated with early stress exposures, and examine how this circuitry may contribute to resilience to psychotic disorders.
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Affiliation(s)
- Pamela DeRosse
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, New York; Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York.
| | - Anita D Barber
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, New York; Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York
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20
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Schmidt A, Davies C, Paloyelis Y, Meyer N, De Micheli A, Ramella-Cravaro V, Provenzani U, Aoki Y, Rutigliano G, Cappucciati M, Oliver D, Murguia S, Zelaya F, Allen P, Shergill S, Morrison P, Williams S, Taylor D, Borgwardt S, Yamasue H, McGuire P, Fusar-Poli P. Acute oxytocin effects in inferring others' beliefs and social emotions in people at clinical high risk for psychosis. Transl Psychiatry 2020; 10:203. [PMID: 32572020 PMCID: PMC7308367 DOI: 10.1038/s41398-020-00885-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 05/19/2020] [Accepted: 05/26/2020] [Indexed: 12/19/2022] Open
Abstract
Social deficits are key hallmarks of the Clinical High Risk for Psychosis (CHR-P) state and of established psychotic disorders, and contribute to impaired social functioning, indicating a potential target for interventions. However, current treatments do not significantly ameliorate social impairments in CHR-P individuals. Given its critical role in social behaviour and cognition, the oxytocinergic (OT) system is a promising target for novel interventions in CHR-P subjects. In a double-blind, placebo-controlled, crossover design, 30 CHR-P males were studied using functional magnetic resonance imaging (fMRI) on two occasions, once after 40IU self-administered intranasal OT and once after placebo. A modified version of the Sally-Anne task was used to assess brain activation during inferring others' beliefs and social emotions. The Reading the Mind in the Eyes Test was acquired prior to the first scan to test whether OT effects were moderated by baseline social-emotional abilities. OT did not modulate behavioural performances but reduced activation in the bilateral inferior frontal gyrus compared with placebo while inferring others' social emotions. Furthermore, the relationship between brain activation and task performance after OT administration was moderated by baseline social-emotional abilities. While task accuracy during inferring others' social emotion increased with decreasing activation in the left inferior frontal gyrus in CHR-P individuals with low social-emotional abilities, there was no such relationship in CHR-P individuals with high social-emotional abilities. Our findings may suggest that acute OT administration enhances neural efficiency in the inferior frontal gyrus during inferring others' social emotions in those CHR-P subjects with low baseline social-emotional abilities.
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Affiliation(s)
- André Schmidt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland.
| | - Cathy Davies
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Yannis Paloyelis
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Nicholas Meyer
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Andrea De Micheli
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, London, UK
| | - Valentina Ramella-Cravaro
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Umberto Provenzani
- 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 Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Yuta Aoki
- Department of Psychiatry, Hamamatsu University School of Medicine, Shizuoka, Japan
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
- Department of Psychosocial Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Grazia Rutigliano
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Marco Cappucciati
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Silvia Murguia
- Tower Hamlets Early Detection Service (THEDS), East London NHS Foundation Trust, London, UK
| | - Fernando Zelaya
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychology, University of Roehampton, London, UK
| | - Sukhi Shergill
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Paul Morrison
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Steve Williams
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - David Taylor
- Institute of Pharmaceutical Science, King's College London, London, UK
| | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, London, UK
- Outreach and Support in South London (OASIS) Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - 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 Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Outreach and Support in South London (OASIS) Service, South London and Maudsley NHS Foundation Trust, London, UK
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Maat A, Therman S, Swaab H, Ziermans T. The Attenuated Psychosis Syndrome and Facial Affect Processing in Adolescents With and Without Autism. Front Psychiatry 2020; 11:759. [PMID: 32848934 PMCID: PMC7416636 DOI: 10.3389/fpsyt.2020.00759] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 07/17/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Autism and schizophrenia spectrum disorders both represent severely disabling neurodevelopmental disorders with marked impairments in social functioning. Despite an increased incidence of psychosis in autism, and substantial overlap in symptoms and cognitive markers, it is unclear whether such phenotypes are specifically related to risk for psychosis or perhaps reflect more general, idiosyncratic autism traits. The attenuated psychosis syndrome (APS) is primarily defined by the presence of attenuated psychotic symptoms, which currently constitute the best and most-replicated clinical predictors of psychosis, and are common in clinical youth with and without autism. The aims of this study were to test the hypothesis that facial affect processing is impaired in adolescents with APS and to explore whether such deficits are more indicative of psychotic or autistic phenotypes on a categorical and dimensional level. MATERIALS AND METHOD Fifty-three adolescents with APS and 81 typically developing controls (aged 12-18) were included. The APS group consisted of adolescents with (n = 21) and without (n = 32) a diagnosis of autism spectrum disorder. Facial affect recognition was assessed with the Amsterdam Neuropsychological Tasks using a cascade model of cognitive processing, in which disturbances in "lower-level" cognitive abilities (pattern recognition), affect "higher-level" cognitive processes (face recognition and facial affect recognition). For associations with schizotypal and autistic-like traits the Schizotypal Personality Questionnaire and Social Communication Questionnaire were used in a confirmatory item factor analysis framework. RESULTS Contrary to expectation, APS in adolescents was not associated with impairments in pattern, face, or facial affect recognition. However, the APS group with autism spectrum disorder showed a general latency in response time to social and non-social stimuli. Dimensionally assessed schizotypal and autistic-like traits did not predict the accuracy or the speed of face or facial affect recognition. CONCLUSION Facial affect processing performance was not associated with APS in adolescence and represents an unlikely early vulnerability marker for psychosis. APS individuals with a more autistic-like profile were characterized by slower responses to social- and non-social stimuli, suggesting that the combined effect of APS and autism spectrum disorder on cognition is larger than for APS alone.
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Affiliation(s)
- Arija Maat
- Department of Psychiatry, UMC Utrecht, University of Utrecht, Utrecht, Netherlands
| | - Sebastian Therman
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Hanna Swaab
- Clinical Child & Adolescent Studies, Leiden University, Leiden, Netherlands
| | - Tim Ziermans
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
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