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Hernandez LM, Kim M, Zhang P, Bethlehem RAI, Hoftman G, Loughnan R, Smith D, Bookheimer SY, Fan CC, Bearden CE, Thompson WK, Gandal MJ. Multi-ancestry phenome-wide association of complement component 4 variation with psychiatric and brain phenotypes in youth. Genome Biol 2023; 24:42. [PMID: 36882872 PMCID: PMC9990244 DOI: 10.1186/s13059-023-02878-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 02/15/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND Increased expression of the complement component 4A (C4A) gene is associated with a greater lifetime risk of schizophrenia. In the brain, C4A is involved in synaptic pruning; yet, it remains unclear the extent to which upregulation of C4A alters brain development or is associated with the risk for psychotic symptoms in childhood. Here, we perform a multi-ancestry phenome-wide association study in 7789 children aged 9-12 years to examine the relationship between genetically regulated expression (GREx) of C4A, childhood brain structure, cognition, and psychiatric symptoms. RESULTS While C4A GREx is not related to childhood psychotic experiences, cognition, or global measures of brain structure, it is associated with a localized reduction in regional surface area (SA) of the entorhinal cortex. Furthermore, we show that reduced entorhinal cortex SA at 9-10 years predicts a greater number and severity of psychosis-like events at 1-year and 2-year follow-up time points. We also demonstrate that the effects of C4A on the entorhinal cortex are independent of genome-wide polygenic risk for schizophrenia. CONCLUSIONS Our results suggest neurodevelopmental effects of C4A on childhood medial temporal lobe structure, which may serve as a biomarker for schizophrenia risk prior to symptom onset.
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Affiliation(s)
- Leanna M. Hernandez
- Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Minsoo Kim
- Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Program in Neurobehavioral Genetics, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Pan Zhang
- Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Richard A. I. Bethlehem
- University of Cambridge, Department of Psychiatry, Cambridge Biomedical Campus, Cambridge, CB2 0SZ UK
| | - Gil Hoftman
- Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Robert Loughnan
- Population Neuroscience and Genetics Lab, University of California, San Diego, San Diego, CA 92093 USA
| | - Diana Smith
- Population Neuroscience and Genetics Lab, University of California, San Diego, San Diego, CA 92093 USA
| | - Susan Y. Bookheimer
- Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Chun Chieh Fan
- Population Neuroscience and Genetics Lab, University of California, San Diego, San Diego, CA 92093 USA
| | - Carrie E. Bearden
- Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - Wesley K. Thompson
- Population Neuroscience and Genetics Lab, University of California, San Diego, San Diego, CA 92093 USA
| | - Michael J. Gandal
- Department of Psychiatry, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA USA
- Lifespan Brain Institute at Penn Med and the Children’s Hospital of Philadelphia, Philadelphia, PA USA
- Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA USA
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2
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Iseli GC, Ulrich S, Schmidt A. Elucidating gut microbiota-hippocampus interactions in emerging psychosis: A new perspective for the development of early interventions for memory impairments. Front Psychiatry 2023; 14:1098019. [PMID: 37032923 PMCID: PMC10076719 DOI: 10.3389/fpsyt.2023.1098019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 02/28/2023] [Indexed: 04/11/2023] Open
Abstract
Hippocampal dysregulation might be a key pathophysiological factor for memory impairments in psychosis. Contemporary models particularly postulate that an imbalance of hippocampal glutamate and GABA leads to impaired memory and may thus serve as a therapeutic target to improve memory deficits. However, currently available interventions in early stages of psychosis do not explicitly target hippocampal pathology. A novel approach for manipulating hippocampus-dependent memory processes is provided via the gut microbiota. In this perspective article, we first recapitulate compelling evidence for emerging hippocampus pathology during the development of psychosis. The following sections emphasize the critical role of the gut microbiota in hippocampus plasticity and memory, and summarize existing evidence of gut microbiota alterations in different stages of psychosis. Finally, we propose a novel conceptual roadmap for future studies deciphering gut microbiota-hippocampus synergisms in emerging psychosis and argue that specific microbial supplementation might be promising for improving hippocampus-dependent memory deficits in early stages of psychosis.
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3
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Kia SM, Huijsdens H, Rutherford S, de Boer A, Dinga R, Wolfers T, Berthet P, Mennes M, Andreassen OA, Westlye LT, Beckmann CF, Marquand AF. Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression. PLoS One 2022; 17:e0278776. [PMID: 36480551 PMCID: PMC9731431 DOI: 10.1371/journal.pone.0278776] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 11/22/2022] [Indexed: 12/13/2022] Open
Abstract
Clinical neuroimaging data availability has grown substantially in the last decade, providing the potential for studying heterogeneity in clinical cohorts on a previously unprecedented scale. Normative modeling is an emerging statistical tool for dissecting heterogeneity in complex brain disorders. However, its application remains technically challenging due to medical data privacy issues and difficulties in dealing with nuisance variation, such as the variability in the image acquisition process. Here, we approach the problem of estimating a reference normative model across a massive population using a massive multi-center neuroimaging dataset. To this end, we introduce a federated probabilistic framework using hierarchical Bayesian regression (HBR) to complete the life-cycle of normative modeling. The proposed model provides the possibilities to learn, update, and adapt the model parameters on decentralized neuroimaging data. Our experimental results confirm the superiority of HBR in deriving more accurate normative ranges on large multi-site neuroimaging datasets compared to the current standard methods. In addition, our approach provides the possibility to recalibrate and reuse the learned model on local datasets and even on datasets with very small sample sizes. The proposed method will facilitate applications of normative modeling as a medical tool for screening the biological deviations in individuals affected by complex illnesses such as mental disorders.
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Affiliation(s)
- Seyed Mostafa Kia
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department for Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Hester Huijsdens
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Saige Rutherford
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department for Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Augustijn de Boer
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Richard Dinga
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department for Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Thomas Wolfers
- Department of Psychology, University of Oslo, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Pierre Berthet
- Department of Psychology, University of Oslo, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Maarten Mennes
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Lars T. Westlye
- Department of Psychology, University of Oslo, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Christian F. Beckmann
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department for Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
- Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom
| | - Andre F. Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department for Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Neuroimaging, Institute of Psychiatry, King’s College London, London, United Kingdom
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4
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McWhinney SR, Brosch K, Calhoun VD, Crespo-Facorro B, Crossley NA, Dannlowski U, Dickie E, Dietze LMF, Donohoe G, Du Plessis S, Ehrlich S, Emsley R, Furstova P, Glahn DC, Gonzalez- Valderrama A, Grotegerd D, Holleran L, Kircher TTJ, Knytl P, Kolenic M, Lencer R, Nenadić I, Opel N, Pfarr JK, Rodrigue AL, Rootes-Murdy K, Ross AJ, Sim K, Škoch A, Spaniel F, Stein F, Švancer P, Tordesillas-Gutiérrez D, Undurraga J, Váquez-Bourgon J, Voineskos A, Walton E, Weickert TW, Weickert CS, Thompson PM, van Erp TGM, Turner JA, Hajek T. Obesity and brain structure in schizophrenia - ENIGMA study in 3021 individuals. Mol Psychiatry 2022; 27:3731-3737. [PMID: 35739320 PMCID: PMC9902274 DOI: 10.1038/s41380-022-01616-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 04/27/2022] [Accepted: 05/06/2022] [Indexed: 02/08/2023]
Abstract
Schizophrenia is frequently associated with obesity, which is linked with neurostructural alterations. Yet, we do not understand how the brain correlates of obesity map onto the brain changes in schizophrenia. We obtained MRI-derived brain cortical and subcortical measures and body mass index (BMI) from 1260 individuals with schizophrenia and 1761 controls from 12 independent research sites within the ENIGMA-Schizophrenia Working Group. We jointly modeled the statistical effects of schizophrenia and BMI using mixed effects. BMI was additively associated with structure of many of the same brain regions as schizophrenia, but the cortical and subcortical alterations in schizophrenia were more widespread and pronounced. Both BMI and schizophrenia were primarily associated with changes in cortical thickness, with fewer correlates in surface area. While, BMI was negatively associated with cortical thickness, the significant associations between BMI and surface area or subcortical volumes were positive. Lastly, the brain correlates of obesity were replicated among large studies and closely resembled neurostructural changes in major depressive disorders. We confirmed widespread associations between BMI and brain structure in individuals with schizophrenia. People with both obesity and schizophrenia showed more pronounced brain alterations than people with only one of these conditions. Obesity appears to be a relevant factor which could account for heterogeneity of brain imaging findings and for differences in brain imaging outcomes among people with schizophrenia.
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Affiliation(s)
- Sean R. McWhinney
- grid.55602.340000 0004 1936 8200Department of Psychiatry, Dalhousie University, Halifax, NS Canada
| | - Katharina Brosch
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Vince D. Calhoun
- grid.189967.80000 0001 0941 6502Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory University, Atlanta, GA USA
| | - Benedicto Crespo-Facorro
- grid.469673.90000 0004 5901 7501Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain ,grid.411109.c0000 0000 9542 1158IBiS, University Hospital Virgen del Rocio, Sevilla, Spain ,grid.9224.d0000 0001 2168 1229Department of Psychiatry, School of Medicine, University of Sevilla, Sevilla, Spain
| | - Nicolas A. Crossley
- grid.7870.80000 0001 2157 0406Department of Psychiatry, School of Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile ,grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK
| | - Udo Dannlowski
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Erin Dickie
- grid.17063.330000 0001 2157 2938Centre for Addiction & Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Lorielle M. F. Dietze
- grid.55602.340000 0004 1936 8200Department of Psychiatry, Dalhousie University, Halifax, NS Canada
| | - Gary Donohoe
- grid.6142.10000 0004 0488 0789Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Stefan Du Plessis
- grid.11956.3a0000 0001 2214 904XDepartment of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa ,grid.415021.30000 0000 9155 0024SAMRC Genomics of Brain Disorders Unit, Cape Town, South Africa
| | - Stefan Ehrlich
- grid.4488.00000 0001 2111 7257Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Robin Emsley
- grid.11956.3a0000 0001 2214 904XDepartment of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Petra Furstova
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic
| | - David C. Glahn
- grid.2515.30000 0004 0378 8438Department of Psychiatry & Behavioral Sciences, Boston Children’s Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Psychiatry, Harvard Medical School, Boston, MA USA ,grid.277313.30000 0001 0626 2712Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT USA
| | - Alfonso Gonzalez- Valderrama
- grid.440629.d0000 0004 5934 6911School of Medicine, Universidad Finis Terrae, Santiago, Chile ,Early Intervention in Psychosis Program, Instituto Psiquiátrico ‘Dr. José Horwitz B.’, Santiago, Chile
| | - Dominik Grotegerd
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Laurena Holleran
- grid.6142.10000 0004 0488 0789Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Tilo T. J. Kircher
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Pavel Knytl
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic ,grid.4491.80000 0004 1937 116XCharles University, Third Faculty of Medicine, Prague, Czech Republic
| | - Marian Kolenic
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic ,grid.4491.80000 0004 1937 116XCharles University, Third Faculty of Medicine, Prague, Czech Republic
| | - Rebekka Lencer
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany ,grid.4562.50000 0001 0057 2672Department of Pscyhiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Igor Nenadić
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Nils Opel
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany ,grid.9613.d0000 0001 1939 2794Department of Psychiatry, Jena University Hospital/Friedrich-Schiller-University Jena, Jena, Germany
| | - Julia-Katharina Pfarr
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Amanda L. Rodrigue
- grid.2515.30000 0004 0378 8438Department of Psychiatry & Behavioral Sciences, Boston Children’s Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Psychiatry, Harvard Medical School, Boston, MA USA
| | - Kelly Rootes-Murdy
- grid.256304.60000 0004 1936 7400Department of Psychology, Georgia State University, Atlanta, GA USA
| | - Alex J. Ross
- grid.55602.340000 0004 1936 8200Department of Psychiatry, Dalhousie University, Halifax, NS Canada
| | - Kang Sim
- grid.414752.10000 0004 0469 9592West Region, Institute of Mental Health, Singapore, Singapore ,grid.4280.e0000 0001 2180 6431Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore ,grid.59025.3b0000 0001 2224 0361Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Antonín Škoch
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic ,grid.418930.70000 0001 2299 1368Department of Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Filip Spaniel
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic ,grid.4491.80000 0004 1937 116XCharles University, Third Faculty of Medicine, Prague, Czech Republic
| | - Frederike Stein
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Patrik Švancer
- grid.447902.cNational Institute of Mental Health, Klecany, Czech Republic ,grid.4491.80000 0004 1937 116XCharles University, Third Faculty of Medicine, Prague, Czech Republic
| | - Diana Tordesillas-Gutiérrez
- grid.484299.a0000 0004 9288 8771Department of Radiology, Marqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain ,grid.469953.40000 0004 1757 2371Computación Avanzada y Ciencia, Instituto de Física de Cantabria, CSIC, Santander, Spain
| | - Juan Undurraga
- Early Intervention in Psychosis Program, Instituto Psiquiátrico ‘Dr. José Horwitz B.’, Santiago, Chile ,grid.412187.90000 0000 9631 4901Department of Neurology and Psychiatry. Faculty of Medicine, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Javier Váquez-Bourgon
- grid.469673.90000 0004 5901 7501Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain ,grid.7821.c0000 0004 1770 272XDepartment of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain ,grid.411325.00000 0001 0627 4262Department of Psychiatry, Marqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
| | - Aristotle Voineskos
- grid.17063.330000 0001 2157 2938Centre for Addiction & Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Esther Walton
- grid.7340.00000 0001 2162 1699Department of Psychology, University of Bath, Bath, UK
| | - Thomas W. Weickert
- grid.411023.50000 0000 9159 4457Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY USA ,grid.250407.40000 0000 8900 8842Neuroscience Research Australia, Randwick, NSW Australia
| | - Cynthia Shannon Weickert
- grid.411023.50000 0000 9159 4457Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY USA ,grid.250407.40000 0000 8900 8842Neuroscience Research Australia, Randwick, NSW Australia ,grid.1005.40000 0004 4902 0432School of Psychiatry, University of New South Wales, Sydney, NSW Australia
| | - Paul M. Thompson
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA USA
| | - Theo G. M. van Erp
- grid.266093.80000 0001 0668 7243Psychiatry and Human Behavior, University of California Irvine, Irvine, CA USA ,grid.266093.80000 0001 0668 7243Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA USA
| | - Jessica A. Turner
- grid.256304.60000 0004 1936 7400Department of Psychology, Georgia State University, Atlanta, GA USA
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada. .,National Institute of Mental Health, Klecany, Czech Republic.
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5
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Zhao X, Yao J, Lv Y, Zhang X, Han C, Chen L, Ren F, Zhou Q, Jin Z, Li Y, Du Y, Sui Y. Facial emotion perception abilities are related to grey matter volume in the culmen of cerebellum anterior lobe in drug-naïve patients with first-episode schizophrenia. Brain Imaging Behav 2022; 16:2072-2085. [PMID: 35751735 DOI: 10.1007/s11682-022-00677-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/13/2022] [Indexed: 11/02/2022]
Abstract
Impaired capability for understanding and interpreting the expressions on other people's faces manifests itself as a core feature of schizophrenia, contributing to social dysfunction. With the purpose of better understanding of the neurobiological basis of facial emotion perception deficits in schizophrenia, we investigated facial emotion perception abilities and regional structural brain abnormalities in drug-naïve patients with first-episode schizophrenia, and then examined the correlation between them. Fifty-two drug-naive patients with first-episode schizophrenia and 29 group-matched healthy controls were examined for facial emotion perception abilities assessed with the Facial Emotion Categorization and performed magnetic resonance imaging. The Facial Emotion Categorization data were inserted into a logistic function model so as to calculate shift point and slope as outcome measurements. Voxel-based morphometry was applied to investigate regional grey matter volume (GMV) alterations. The relationship between facial emotion perception and GMV was explored in patients using voxel-wise correlation analysis within brain regions that showed a significant GMV alterations in patients compared with controls. The schizophrenic patients performed differently on Facial Emotion Categorization tasks from the controls and presented a higher shift point and a steeper slope. Relative to the controls, patients showed GMV reductions in the superior temporal gyrus, middle occipital gyrus, parahippocampa gyrus, posterior cingulate, the culmen of cerebellum anterior lobe, cerebellar tonsil, and the declive of cerebellum posterior lobe. Importantly, abnormal performance on Facial Emotion Categorization was found correlated with GMV alterations in the culmen of cerebellum anterior lobe in schizophrenia. This study suggests that reduced GMV in the culmen of cerebellum anterior lobe occurs in first-episode schizophrenia, constituting a potential neuropathological basis for the impaired facial emotion perception in schizophrenia.
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Affiliation(s)
- Xiaoxin Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | | | - Yiding Lv
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | | | - Chongyang Han
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Lijun Chen
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Fangfang Ren
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Qun Zhou
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Zhuma Jin
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Yuan Li
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Yasong Du
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
| | - Yuxiu Sui
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China.
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6
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Schoorl J, Barbu MC, Shen X, Harris MR, Adams MJ, Whalley HC, Lawrie SM. Grey and white matter associations of psychotic-like experiences in a general population sample (UK Biobank). Transl Psychiatry 2021; 11:21. [PMID: 33414383 PMCID: PMC7791107 DOI: 10.1038/s41398-020-01131-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 11/10/2020] [Accepted: 11/23/2020] [Indexed: 01/29/2023] Open
Abstract
There has been a substantial amount of research reporting the neuroanatomical associations of psychotic symptoms in people with schizophrenia. Comparatively little attention has been paid to the neuroimaging correlates of subclinical psychotic symptoms, so-called "psychotic-like experiences" (PLEs), within large healthy populations. PLEs are relatively common in the general population (7-13%), can be distressing and negatively affect health. This study therefore examined gray and white matter associations of four different PLEs (auditory or visual PLEs, and delusional ideas about conspiracies or communications) in subjects of the UK Biobank study with neuroimaging data (N = 21,390, mean age = 63 years). We tested for associations between any PLE (N = 768) and individual PLEs with gray and white matter brain structures, controlling for sex, age, intracranial volume, scanning site, and position in the scanner. Individuals that reported having experienced auditory hallucinations (N = 272) were found to have smaller volumes of the caudate, putamen, and accumbens (β = -0.115-0.134, pcorrected = 0.048-0.036), and reduced temporal lobe volume (β = -0.017, pcorrected = 0.047) compared to those that did not. People who indicated that they had ever believed in unreal conspiracies (N = 111) had a larger volume of the left amygdala (β = 0.023, pcorrected = 0.038). Individuals that reported a history of visual PLEs (N = 435) were found to have reduced white matter microstructure of the forceps major (β = -0.029, pcorrected = 0.009), an effect that was more marked in participants who reported PLEs as distressing. These associations were not accounted for by diagnoses of psychotic or depressive illness, nor the known risk factors for psychotic symptoms of childhood adversity or cannabis use. These findings suggest altered regional gray matter volumes and white matter microstructure in association with PLEs in the general population. They further suggest that these alterations may appear more frequently with the presentation of different psychotic symptoms in the absence of clinically diagnosed psychotic disorders.
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Affiliation(s)
- Julie Schoorl
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Miruna C Barbu
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Xueyi Shen
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Mat R Harris
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Mark J Adams
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Heather C Whalley
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK.
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7
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Huang AS, Rogers BP, Sheffield JM, Jalbrzikowski ME, Anticevic A, Blackford JU, Heckers S, Woodward ND. Thalamic Nuclei Volumes in Psychotic Disorders and in Youths With Psychosis Spectrum Symptoms. Am J Psychiatry 2020; 177:1159-1167. [PMID: 32911995 PMCID: PMC7708443 DOI: 10.1176/appi.ajp.2020.19101099] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Thalamus models of psychosis implicate association nuclei in the pathogenesis of psychosis and mechanisms of cognitive impairment. Studies to date have provided conflicting findings for structural deficits specific to these nuclei. The authors sought to characterize thalamic structural abnormalities in psychosis and a neurodevelopmental cohort, and to determine whether nuclear volumes were associated with cognitive function. METHODS Thalamic nuclei volumes were tested in a cross-sectional sample of 472 adults (293 with psychosis) and the Philadelphia Neurodevelopmental Cohort (PNC), consisting of 1,393 youths (398 with psychosis spectrum symptoms and 609 with other psychopathologies), using a recently developed, validated method for segmenting thalamic nuclei and complementary voxel-based morphometry. Cognitive function was measured with the Screen for Cognitive Impairment in Psychiatry in the psychosis cohort and the Penn Computerized Neurocognitive Battery in the PNC. RESULTS The psychosis group had smaller pulvinar, mediodorsal, and, to a lesser extent, ventrolateral nuclei volumes compared with the healthy control group. Youths with psychosis spectrum symptoms also had smaller pulvinar volumes, compared with both typically developing youths and youths with other psychopathologies. Pulvinar volumes were positively correlated with general cognitive function. CONCLUSIONS The study findings demonstrate that smaller thalamic association nuclei represent a neurodevelopmental abnormality associated with psychosis, risk for psychosis in youths, and cognitive impairment. Identifying specific thalamic nuclei abnormalities in psychosis has implications for early detection of psychosis risk and treatment of cognitive impairment in psychosis.
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Affiliation(s)
- Anna S. Huang
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center
| | | | - Julia M. Sheffield
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center
| | | | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine
| | - Jennifer Urbano Blackford
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center
- Research Health Scientist, Research and Development, Department of Veterans Affairs Medical Center, Nashville, TN
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center
| | - Neil D. Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center
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8
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Mennigen E, Bearden CE. Psychosis Risk and Development: What Do We Know From Population-Based Studies? Biol Psychiatry 2020; 88:315-325. [PMID: 32061373 PMCID: PMC7305046 DOI: 10.1016/j.biopsych.2019.12.014] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 11/22/2019] [Accepted: 12/11/2019] [Indexed: 12/23/2022]
Abstract
Recent years have seen an advent in population-based studies in children, adolescents, and adults that examine the prevalence, etiology, and developmental trajectories of diverse subclinical psychopathological symptoms that pose a risk for the later development of severe mental illnesses. It is increasingly recognized that most categorically defined psychiatric disorders occur on a spectrum or continuum, show high heterogeneity and symptom overlap, and share genetic and environmental risk factors. We discuss neurodevelopmental underpinnings of psychosis spectrum symptoms and review brain morphometric and functional alterations as well as genetic liability for psychosis in individuals experiencing psychotic symptoms (PSs) in the general population. With regard to brain structure and function, findings of qualitatively similar alterations in individuals experiencing subthreshold PSs and individuals with overt psychotic disorders support the notion of a psychosis continuum. However, genetic and epidemiological studies have emphasized the overlap of PSs and other psychiatric illnesses. In particular, PSs during adolescence appear to be a nonspecific precursor of different psychopathological outcomes. Given the evidence presented in this review, we argue that findings from population-based studies are appropriate to guide policy-making to further emphasize public health efforts. Broadly accessible mental health programs are promising to make a difference in the field of adolescent mental health. However, the specific efficacy of these programs warrants further study, and caution is advised to not overpathologize potentially transient occurrence of mental health problems.
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Affiliation(s)
- Eva Mennigen
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California; Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California; Department of Psychology, University of California, Los Angeles, Los Angeles, California.
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9
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Régio Brambilla C, Veselinović T, Rajkumar R, Mauler J, Orth L, Ruch A, Ramkiran S, Heekeren K, Kawohl W, Wyss C, Kops ER, Scheins J, Tellmann L, Boers F, Neumaier B, Ermert J, Herzog H, Langen K, Jon Shah N, Lerche C, Neuner I. mGluR5 receptor availability is associated with lower levels of negative symptoms and better cognition in male patients with chronic schizophrenia. Hum Brain Mapp 2020; 41:2762-2781. [PMID: 32150317 PMCID: PMC7294054 DOI: 10.1002/hbm.24976] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 02/25/2020] [Accepted: 02/25/2020] [Indexed: 12/29/2022] Open
Abstract
Consistent findings postulate disturbed glutamatergic function (more specifically a hypofunction of the ionotropic NMDA receptors) as an important pathophysiologic mechanism in schizophrenia. However, the role of the metabotropic glutamatergic receptors type 5 (mGluR5) in this disease remains unclear. In this study, we investigated their significance (using [11C]ABP688) for psychopathology and cognition in male patients with chronic schizophrenia and healthy controls. In the patient group, lower mGluR5 binding potential (BPND) values in the left temporal cortex and caudate were associated with higher general symptom levels (negative and depressive symptoms), lower levels of global functioning and worse cognitive performance. At the same time, in both groups, mGluR5 BPND were significantly lower in smokers (F[27,1] = 15.500; p = .001), but without significant differences between the groups. Our findings provide support for the concept that the impaired function of mGluR5 underlies the symptoms of schizophrenia. They further supply a new perspective on the complex relationship between tobacco addiction and schizophrenia by identifying glutamatergic neurotransmission—in particularly mGluR5—as a possible connection to a shared vulnerability.
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Affiliation(s)
- Cláudia Régio Brambilla
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
- Department of Psychiatry, Psychotherapy and PsychosomaticsRWTH Aachen UniversityAachenGermany
| | - Tanja Veselinović
- Department of Psychiatry, Psychotherapy and PsychosomaticsRWTH Aachen UniversityAachenGermany
| | - Ravichandran Rajkumar
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
- Department of Psychiatry, Psychotherapy and PsychosomaticsRWTH Aachen UniversityAachenGermany
- JARA – BRAIN – Translational MedicineAachenGermany
| | - Jörg Mauler
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
| | - Linda Orth
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
- Department of Psychiatry, Psychotherapy and PsychosomaticsRWTH Aachen UniversityAachenGermany
| | - Andrej Ruch
- Department of Psychiatry, Psychotherapy and PsychosomaticsRWTH Aachen UniversityAachenGermany
| | - Shukti Ramkiran
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
- Department of Psychiatry, Psychotherapy and PsychosomaticsRWTH Aachen UniversityAachenGermany
| | - Karsten Heekeren
- Department of Psychiatry, Psychotherapy and PsychosomaticsUniversity Hospital of PsychiatryZürichSwitzerland
| | - Wolfram Kawohl
- Department of Psychiatry, Psychotherapy and PsychosomaticsUniversity Hospital of PsychiatryZürichSwitzerland
| | - Christine Wyss
- Department of Psychiatry, Psychotherapy and PsychosomaticsUniversity Hospital of PsychiatryZürichSwitzerland
| | - Elena Rota Kops
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
| | - Jürgen Scheins
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
| | - Lutz Tellmann
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
| | - Frank Boers
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
| | - Bernd Neumaier
- INM‐5, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
| | - Johannes Ermert
- INM‐5, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
| | - Hans Herzog
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
| | - Karl‐Josef Langen
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
- JARA – BRAIN – Translational MedicineAachenGermany
- Department of Nuclear MedicineRWTH Aachen UniversityAachenGermany
| | - N. Jon Shah
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
- JARA – BRAIN – Translational MedicineAachenGermany
- INM‐11, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
- Department of NeurologyRWTH Aachen UniversityAachenGermany
| | - Christoph Lerche
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
| | - Irene Neuner
- INM‐4, Forschungszentrum Jülich GmbH, Wilhelm‐Johnen‐StraßeInstitute of Neuroscience and MedicineJülichGermany
- Department of Psychiatry, Psychotherapy and PsychosomaticsRWTH Aachen UniversityAachenGermany
- JARA – BRAIN – Translational MedicineAachenGermany
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10
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Mennigen E, Jolles DD, Hegarty CE, Gupta M, Jalbrzikowski M, Olde Loohuis LM, Ophoff RA, Karlsgodt KH, Bearden CE. State-Dependent Functional Dysconnectivity in Youth With Psychosis Spectrum Symptoms. Schizophr Bull 2020; 46:408-421. [PMID: 31219595 PMCID: PMC7442416 DOI: 10.1093/schbul/sbz052] [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] [Indexed: 12/14/2022]
Abstract
Psychosis spectrum disorders are conceptualized as neurodevelopmental disorders accompanied by disruption of large-scale functional brain networks. Dynamic functional dysconnectivity has been described in patients with schizophrenia and in help-seeking individuals at clinical high risk for psychosis. Less is known, about developmental aspects of dynamic functional network connectivity (dFNC) associated with psychotic symptoms (PS) in the general population. Here, we investigate resting state functional magnetic resonance imaging data using established dFNC methods in the Philadelphia Neurodevelopmental Cohort (ages 8-22 years), including 129 participants experiencing PS and 452 participants without PS (non-PS). Functional networks were identified using group spatial independent component analysis. A sliding window approach and k-means clustering were applied to covariance matrices of all functional networks to identify recurring whole-brain connectivity states. PS-associated dysconnectivity of default mode, salience, and executive networks occurred only in a few states, whereas dysconnectivity in the sensorimotor and visual systems in PS youth was more pervasive, observed across multiple states. This study provides new evidence that disruptions of dFNC are present even at the less severe end of the psychosis continuum in youth, complementing previous work on help-seeking and clinically diagnosed cohorts that represent the more severe end of this spectrum.
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Affiliation(s)
- Eva Mennigen
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA
| | - Dietsje D Jolles
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA
| | - Catherine E Hegarty
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA
| | - Mohan Gupta
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA
| | | | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA
| | - Roel A Ophoff
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA,Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA
| | - Katherine H Karlsgodt
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA,Department of Psychology, University of California, Los Angeles, Los Angeles, CA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA,Department of Psychology, University of California, Los Angeles, Los Angeles, CA,To whom correspondence should be addressed; tel: +1 310 825 3458, fax: +1 310 825 6766, e-mail:
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11
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Salpekar JA. Reality Is in the Posterior Hippocampus: Who Knew? Epilepsy Curr 2019; 19:305-306. [PMID: 31409151 PMCID: PMC6864580 DOI: 10.1177/1535759719868459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Bilateral Volume Reduction in Posterior Hippocampus in Psychosis of Epilepsy Allebone J, Kanaan R, Maller J, et al. J Neurol Neurosurg Psychiatry. 2019. pii: jnnp-2018-319396. doi:10.1136/jnnp-2018-319396. [Epub ahead of print]. PMID: 30796132. Objective: Psychosis of epilepsy (POE) occurs more frequently in temporal lobe epilepsy, raising the question as to whether abnormalities of the hippocampus are etiologically important. Despite decades of investigation, it is unclear whether hippocampal volume is reduced in POE, perhaps due to small sample sizes and methodological limitations of past research. Methods: In this study, we examined the volume of the total hippocampus, and the hippocampal head, body, and tail, in a large cohort of patients with POE and patients with epilepsy without psychosis (EC). One hundred adults participated: 50 with POE and 50 EC. Total and subregional hippocampal volumes were manually traced and compared between (1) POE and EC; (2) POE with temporal lobe epilepsy, extratemporal lobe epilepsy, and generalized epilepsy; and (3) patients with POE with postictal psychosis (PIP) and interictal psychosis (IP). Results: Compared to EC, the POE group had smaller total left hippocampus volume (13.5% decrease, P < .001), and smaller left hippocampal body (13.3% decrease, P = .002), and left (41.5% decrease, P < .001) and right (36.4% decrease, P < .001) hippocampal tail volumes. Hippocampal head volumes did not differ between groups. Conclusion: Posterior hippocampal volumes are bilaterally reduced in POE. Volume loss was observed on a posteroanterior gradient, with severe decreases in the tail and moderate volume decreases in the body, with no difference in the hippocampal head. Posterior hippocampal atrophy is evident to a similar degree in PIP and IP. Our findings converge with those reported for the paradigmatic psychotic disorder and schizophrenia and suggest that posterior hippocampal atrophy may serve as a biomarker of the risk for psychosis, including in patients with epilepsy.
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12
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Fonville L, Drakesmith M, Zammit S, Lewis G, Jones DK, David AS. MRI Indices of Cortical Development in Young People With Psychotic Experiences: Influence of Genetic Risk and Persistence of Symptoms. Schizophr Bull 2019; 45:169-179. [PMID: 29385604 PMCID: PMC6293214 DOI: 10.1093/schbul/sbx195] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background Psychotic experiences (PEs) are considered part of an extended psychosis phenotype and are associated with an elevated risk of developing a psychotic disorder. Risk of transition increases with persistence of PEs, and this is thought to be modulated by genetic and environmental factors. However, it is unclear if persistence is associated with progressive schizophrenia-like changes in neuroanatomy. Methods We examined cortical morphometry using MRI in 247 young adults, from a population-based cohort, assessed for the presence of PEs at ages 18 and 20. We then incorporated a polygenic risk score for schizophrenia (PRS) to elucidate the effects of high genetic risk. Finally, we used atlas-based tractography data to examine the underlying white matter. Results Individuals with persisting PEs showed reductions in gyrification (local gyrification index: lGI) in the left temporal gyrus as well as atypical associations with brain volume (TBV) in the left occipital and right prefrontal gyri. No main effect was found for the PRS, but interaction effects with PEs were identified in the orbitofrontal, parietal, and temporal regions. Examination of underlying white matter did not provide strong evidence of further disturbances. Conclusions Disturbances in lGI were similar to schizophrenia but findings were mostly limited to those with persistent PEs. These could reflect subtle changes that worsen with impending psychosis or reflect an early vulnerability associated with the persistence of PEs. The lack of clear differences in underlying white matter suggests our findings reflect early disturbances in cortical expansion rather than progressive changes in brain structure.
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Affiliation(s)
- Leon Fonville
- Section of Cognitive Neuropsychiatry (Box 68), Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King ’s College London, UK
| | - Mark Drakesmith
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- Institute of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Stanley Zammit
- Institute of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
- Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Glyn Lewis
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- Institute of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Anthony S David
- Section of Cognitive Neuropsychiatry (Box 68), Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King ’s College London, UK
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13
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Turetsky BI, Moberg PJ, Quarmley M, Dress E, Calkins ME, Ruparel K, Prabhakaran K, Gur RE, Roalf DR. Structural anomalies of the peripheral olfactory system in psychosis high-risk subjects. Schizophr Res 2018; 195:197-205. [PMID: 28974405 PMCID: PMC5878118 DOI: 10.1016/j.schres.2017.09.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Revised: 09/05/2017] [Accepted: 09/13/2017] [Indexed: 12/19/2022]
Abstract
BACKGROUND Olfactory impairments are prominent in both schizophrenia and the preceding at-risk state. Their presence prior to illness predicts poor functional outcome. In schizophrenia, these impairments reflect peripheral olfactory structural abnormalities, which are hypothesized to arise during early embryonic development. If this is correct, then similar structural anomalies should be apparent among clinical high-risk subjects. METHODS Thirty-nine clinical high-risk (CR) subjects (24M/15F) were compared to 36 low-risk (LR) subjects (19M/17F). Olfactory measures derived from 3T MRI scans included olfactory bulb volume, primary olfactory cortical gray matter volume, and the depth of the olfactory sulcus overlying the bulb. Additionally, nasal cavity volumes were assessed with acoustic rhinometry. RESULTS Male CR subjects exhibited bilateral reductions in olfactory bulb volume and abnormal asymmetries of the posterior nasal cavities and olfactory sulci (left reduced relative to right). Post-hoc contrasts also indicated reduced left, but not right, olfactory cortical gray matter volume. Female CRs had no significant abnormalities, although they exhibited similar trend effects. Left olfactory bulb volume correlated, across all CR subjects, with negative, but not positive, symptoms. In a classification analysis, with 80% target specificity, olfactory measurements distinguished male CR from male LR subjects with 93% sensitivity. Among females, the comparable sensitivity was 69%. CONCLUSION Psychosis-risk youths exhibit an array of sexually dimorphic and laterally asymmetric anomalies of the peripheral olfactory system. These are consistent with a developmental disruption primarily affecting male fetuses. These structural biomarkers may enhance the identification of at-risk subjects with poor prognosis, before their clinical trajectory is apparent.
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Affiliation(s)
- Bruce I. Turetsky
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104,Smell and Taste Center, Department of Otorhinolaryngology: Head & Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Paul J. Moberg
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104,Smell and Taste Center, Department of Otorhinolaryngology: Head & Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Megan Quarmley
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Erich Dress
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Monica E. Calkins
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Kosha Ruparel
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Karthik Prabhakaran
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Raquel E. Gur
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - David R. Roalf
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
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Calkins ME, Moore TM, Satterthwaite TD, Wolf DH, Turetsky BI, Roalf DR, Merikangas KR, Ruparel K, Kohler CG, Gur RC, Gur RE. Persistence of psychosis spectrum symptoms in the Philadelphia Neurodevelopmental Cohort: a prospective two-year follow-up. World Psychiatry 2017; 16:62-76. [PMID: 28127907 PMCID: PMC5269480 DOI: 10.1002/wps.20386] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Prospective evaluation of youths with early psychotic-like experiences can enrich our knowledge of clinical, biobehavioral and environmental risk and protective factors associated with the development of psychotic disorders. We aimed to investigate the predictors of persistence or worsening of psychosis spectrum features among US youth through the first large systematic study to evaluate subclinical symptoms in the community. Based on Time 1 screen of 9,498 youth (age 8-21) from the Philadelphia Neurodevelopmental Cohort, a subsample of participants was enrolled based on the presence (N=249) or absence (N=254) of baseline psychosis spectrum symptoms, prior participation in neuroimaging, and current neuroimaging eligibility. They were invited to participate in a Time 2 assessment two years on average following Time 1. Participants were administered the Structured Interview for Prodromal Syndromes, conducted blind to initial screen status, along with the Schizotypal Personality Questionnaire and other clinical measures, computerized neurocognitive testing, and neuroimaging. Clinical and demographic predictors of symptom persistence were examined using logistic regression. At Time 2, psychosis spectrum features persisted or worsened in 51.4% of youths. Symptom persistence was predicted by higher severity of subclinical psychosis, lower global functioning, and prior psychiatric medication at baseline. Youths classified as having psychosis spectrum symptoms at baseline but not at follow-up nonetheless exhibited comparatively higher symptom levels and lower functioning at both baseline and follow-up than typically developing youths. In addition, psychosis spectrum features emerged in a small number of young people who previously had not reported significant symptoms but who had exhibited early clinical warning signs. Together, our findings indicate that varying courses of psychosis spectrum symptoms are evident early in US youth, supporting the importance of investigating psychosis risk as a dynamic developmental process. Neurocognition, brain structure and function, and genomics may be integrated with clinical data to provide early indices of symptom persistence and worsening in youths at risk for psychosis.
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Affiliation(s)
- Monica E. Calkins
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Tyler M. Moore
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Theodore D. Satterthwaite
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Daniel H. Wolf
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Bruce I. Turetsky
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - David R. Roalf
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Kathleen R. Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental HealthBethesdaMDUSA
| | - Kosha Ruparel
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Christian G. Kohler
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Ruben C. Gur
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Raquel E. Gur
- Department of Psychiatry, Neuropsychiatry Section, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
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15
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Del Bene VA, Foxe JJ, Ross LA, Krakowski MI, Czobor P, De Sanctis P. Neuroanatomical Abnormalities in Violent Individuals with and without a Diagnosis of Schizophrenia. PLoS One 2016; 11:e0168100. [PMID: 28030584 PMCID: PMC5193361 DOI: 10.1371/journal.pone.0168100] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Accepted: 11/18/2016] [Indexed: 01/17/2023] Open
Abstract
Several structural brain abnormalities have been associated with aggression in patients with schizophrenia. However, little is known about shared and distinct abnormalities underlying aggression in these subjects and non-psychotic violent individuals. We applied a region-of-interest volumetric analysis of the amygdala, hippocampus, and thalamus bilaterally, as well as whole brain and ventricular volumes to investigate violent (n = 37) and non-violent chronic patients (n = 26) with schizophrenia, non-psychotic violent (n = 24) as well as healthy control subjects (n = 24). Shared and distinct volumetric abnormalities were probed by analysis of variance with the factors violence (non-violent versus violent) and diagnosis (non-psychotic versus psychotic), adjusted for substance abuse, age, academic achievement and negative psychotic symptoms. Patients showed elevated vCSF volume, smaller left hippocampus and smaller left thalamus volumes. This was particularly the case for non-violent individuals diagnosed with schizophrenia. Furthermore, patients had reduction in right thalamus size. With regard to left amygdala, we found an interaction between violence and diagnosis. More specifically, we report a double dissociation with smaller amygdala size linked to violence in non-psychotic individuals, while for psychotic patients smaller size was linked to non-violence. Importantly, the double dissociation appeared to be mostly driven by substance abuse. Overall, we found widespread morphometric abnormalities in subcortical regions in schizophrenia. No evidence for shared volumetric abnormalities in individuals with a history of violence was found. Finally, left amygdala abnormalities in non-psychotic violent individuals were largely accounted for by substance abuse. This might be an indication that the association between amygdala reduction and violence is mediated by substance abuse. Our results indicate the importance of structural abnormalities in aggressive individuals.
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Affiliation(s)
- Victor A. Del Bene
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory Children’s Evaluation and Rehabilitation Center (CERC) Departments of Pediatrics and Neuroscience Albert Einstein College of Medicine Van Etten, New York, United States of America
- Ferkauf Graduate School of Psychology Albert Einstein College of Medicine Bronx, New York, United States of America
| | - John J. Foxe
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory Children’s Evaluation and Rehabilitation Center (CERC) Departments of Pediatrics and Neuroscience Albert Einstein College of Medicine Van Etten, New York, United States of America
- The Nathan S. Kline Institute for Psychiatric Research Orangeburg, NY, United States of America
- The Ernest J. Del Monte Institute for Neuromedicine Department of Neurobiology and Anatomy University of Rochester Medical Center Rochester, New York, United States of America
| | - Lars A. Ross
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory Children’s Evaluation and Rehabilitation Center (CERC) Departments of Pediatrics and Neuroscience Albert Einstein College of Medicine Van Etten, New York, United States of America
| | - Menahem I. Krakowski
- The Nathan S. Kline Institute for Psychiatric Research Orangeburg, NY, United States of America
- New York University Langone Medical Center Department of Psychiatry New York, New York, United States of America
| | - Pal Czobor
- Departments of Psychiatry and Psychotherapy Semmelweis University ÜllőiWay 26, Budapest, Hungary
| | - Pierfilippo De Sanctis
- The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory Children’s Evaluation and Rehabilitation Center (CERC) Departments of Pediatrics and Neuroscience Albert Einstein College of Medicine Van Etten, New York, United States of America
- The Nathan S. Kline Institute for Psychiatric Research Orangeburg, NY, United States of America
- Center for Psychiatric Neuroscience The Feinstein Institute for Medical Research Manhasset, NY, United States of America
- Department of Psychiatry Hofstra Northwell School of Medicine Zucker Hillside Hospital Glen Oaks, NY, United States of America
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