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Garcia-Marti G, Escarti MJ, Nacher J, Perez-Rando M, Mane A, Usall J, Berrocoso E, Pomarol-Clotet E, Lopez-Ilundain JM, Cuesta MJ, Rodriguez-Jimenez R, Gonzalez-Pinto A, Mar L, Ibañez A, Roldan A, Janssen J, Parellada M, Amoretti S, Bernardo M, Sanjuan J, Aguilar EJ. Progressive loss of cortical gray matter in first episode psychosis patients with auditory hallucinations. Schizophr Res 2024; 267:534-545. [PMID: 38044223 DOI: 10.1016/j.schres.2023.11.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 09/18/2023] [Accepted: 11/26/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND Previous longitudinal magnetic resonance imaging studies have shown progressive gray matter (GM) reduction during the earliest phases of schizophrenia. It is unknown whether these progressive processes are homogeneous in all groups of patients. One way to obtain more valid findings is to focus on the symptoms. Auditory hallucinations (AHs) are frequent and reliable symptoms of psychosis. The present study aims to analyze whether longitudinal changes in structural abnormalities in cortical regions are related to the presence of AHs and the intensity of psychotic symptoms in a large sample. METHODS A Magnetic Resonance (MR) voxel-based morphometry analysis was applied to a group of 128 first episodes psychosis (FEP) patients (63 patients with AHs and 65 patients without AHs) and 78 matched healthy controls at baseline and at a 2-year follow-up. RESULTS At baseline, FEP patients exhibited significant GM volume reductions in the temporal, frontal and precentral regions. At follow-up, FEP patients exhibited GM volume changes in the temporal, Rolandic, frontal, precentral and insula regions. At baseline, no significant differences were found between FEP patients with and without AHs. At follow-up, while FEP patients with AHs showed less GM volume in temporal and frontal lobes, non-AH FEP patients showed reductions in the frontal, precentral and fusiform areas. PANSS scores showed statistically significant correlations with GM volume reductions at baseline and follow-up. CONCLUSIONS Brain cortical loss in the early phases of psychosis is not associated with potentially transitory AHs; however, brain structural changes may emerge as AHs appear in chronic patients.
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Affiliation(s)
- Gracian Garcia-Marti
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Biomedical Engineering Unit / Radiology Department, Quirónsalud Hospital, Valencia, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain.
| | - Maria J Escarti
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain; Unit of Psychiatry, Clinic Hospital Valencia, University of Valencia, Valencia, Spain
| | - Juan Nacher
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain; Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain
| | - Marta Perez-Rando
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain; Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain
| | - Anna Mane
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Department of Medicine and Life Sciences (MELIS). Universitat Pompeu Fabra, Barcelona, Spain
| | - Judith Usall
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain; Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain
| | - Esther Berrocoso
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Neuropsychopharmacology and Psychobiology Research Group, Department of Neuroscience, Faculty of Medicine, University of Cádiz, Cádiz, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz, INiBICA, Hospital Universitario Puerta del Mar, Cádiz, Spain
| | - Edith Pomarol-Clotet
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Jose M Lopez-Ilundain
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNa), Pamplona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNa), Pamplona, Spain
| | - Roberto Rodriguez-Jimenez
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria Hospital 12 de Octubre, Madrid, Spain; Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Ana Gonzalez-Pinto
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba, Department of Psychiatry, Hospital Universitario de Alava, UPV/EHU, Vitoria, Spain
| | - Lorea Mar
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba, Department of Psychiatry, Hospital Universitario de Alava, UPV/EHU, Vitoria, Spain
| | - Angela Ibañez
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Hospital Universitario Ramón y Cajal, IRYCIS, Universidad de Alcalá, Madrid, Spain
| | - Alexandra Roldan
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Psychiatry Department, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Joost Janssen
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; School of Medicine, Universidad Complutense, Madrid, Spain
| | - Mara Parellada
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; School of Medicine, Universidad Complutense, Madrid, Spain
| | - Silvia Amoretti
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona; University of Barcelona, Spain; Bipolar and Depressive Disorder Unit, Neuroscience Institute, Hospital Clínic, Barcelona, Spain; Group of Psychiatry, Mental Health and Addictions, Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Miquel Bernardo
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Julio Sanjuan
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain; Unit of Psychiatry, Clinic Hospital Valencia, University of Valencia, Valencia, Spain
| | - Eduardo J Aguilar
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain; Unit of Psychiatry, Clinic Hospital Valencia, University of Valencia, Valencia, Spain
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2
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Si S, Bi A, Yu Z, See C, Kelly S, Ambrogi S, Arango C, Baeza I, Banaj N, Berk M, Castro-Fornieles J, Crespo-Facorro B, Crouse JJ, Díaz-Caneja CM, Fett AK, Fortea A, Frangou S, Goldstein BI, Hickie IB, Janssen J, Kennedy KG, Krabbendam L, Kyriakopoulos M, MacIntosh BJ, Morgado P, Nerland S, Pascual-Diaz S, Picó-Pérez M, Piras F, Rund BR, de la Serna E, Spalletta G, Sugranyes G, Suo C, Tordesillas-Gutiérrez D, Vecchio D, Radua J, McGuire P, Thomopoulos SI, Jahanshad N, Thompson PM, Barth C, Agartz I, James A, Kempton MJ. Mapping gray and white matter volume abnormalities in early-onset psychosis: an ENIGMA multicenter voxel-based morphometry study. Mol Psychiatry 2024; 29:496-504. [PMID: 38195979 PMCID: PMC11116097 DOI: 10.1038/s41380-023-02343-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 11/07/2023] [Accepted: 11/27/2023] [Indexed: 01/11/2024]
Abstract
INTRODUCTION Regional gray matter (GM) alterations have been reported in early-onset psychosis (EOP, onset before age 18), but previous studies have yielded conflicting results, likely due to small sample sizes and the different brain regions examined. In this study, we conducted a whole brain voxel-based morphometry (VBM) analysis in a large sample of individuals with EOP, using the newly developed ENIGMA-VBM tool. METHODS 15 independent cohorts from the ENIGMA-EOP working group participated in the study. The overall sample comprised T1-weighted MRI data from 482 individuals with EOP and 469 healthy controls. Each site performed the VBM analysis locally using the standardized ENIGMA-VBM tool. Statistical parametric T-maps were generated from each cohort and meta-analyzed to reveal voxel-wise differences between EOP and healthy controls as well as the individual-based association between GM volume and age of onset, chlorpromazine (CPZ) equivalent dose, and other clinical variables. RESULTS Compared with healthy controls, individuals with EOP showed widespread lower GM volume encompassing most of the cortex, with the most marked effect in the left median cingulate (Hedges' g = 0.55, p = 0.001 corrected), as well as small clusters of lower white matter (WM), whereas no regional GM or WM volumes were higher in EOP. Lower GM volume in the cerebellum, thalamus and left inferior parietal gyrus was associated with older age of onset. Deficits in GM in the left inferior frontal gyrus, right insula, right precentral gyrus and right superior frontal gyrus were also associated with higher CPZ equivalent doses. CONCLUSION EOP is associated with widespread reductions in cortical GM volume, while WM is affected to a smaller extent. GM volume alterations are associated with age of onset and CPZ equivalent dose but these effects are small compared to case-control differences. Mapping anatomical abnormalities in EOP may lead to a better understanding of the role of psychosis in brain development during childhood and adolescence.
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Grants
- P41 EB015922 NIBIB NIH HHS
- R01 MH116147 NIMH NIH HHS
- R01 MH121246 NIMH NIH HHS
- R01 MH134004 NIMH NIH HHS
- P50 MH115846 NIMH NIH HHS
- U01 MH124639 NIMH NIH HHS
- R01 AG059874 NIA NIH HHS
- Spanish Ministry of Science and Innovation, Instituto de Salud Carlos III (ISCIII), co-financed by the European Union, ERDF Funds from the European Commission, “A way of making Europe”, financed by the European Union - NextGenerationEU (PMP21/00051), PI19/01024, PI20/00721, JR19/00024. CIBERSAM, Madrid Regional Government (S2022/BMD-7216 (AGES 3-CM)), European Union Structural Funds, European Union Seventh Framework Program, European Union H2020 Program under the Innovative Medicines Initiative 2 Joint Undertaking: Project PRISM-2 (Grant agreement No.101034377), Project AIMS-2-TRIALS (Grant agreement No 777394), Horizon Europe, the National Institute of Mental Health of the National Institutes of Health under Award Number 1U01MH124639-01 (Project ProNET) and Award Number 5P50MH115846-03 (project FEP-CAUSAL), Fundación Familia Alonso, and Fundación Alicia Koplowitz. YTOP cohort is suppoprted by The Research Council of Norway (223273, 213700, 250358, 288083); South-Eastern Norway Regional Health Authority (2017112); KG Jebsen Stiftelsen (SKGJ-MED-008).
- the Spanish Ministry of Science and Innovation, Instituto de Salud Carlos III (ISCIII), co-financed by the European Union, (PI18/00976, PI20/00654, PI02100330), Ajut a la Recerca Pons Bartran, the Alicia Koplowitz Foundation, Brain and Behaviour Research Foundation (NARSAD Young Investigator Award 2017) and Strategic Research and Innovation Plan in Health (PERIS), Department of Health, Government of Catalonia.
- NHMRC Senior Principal Research Fellowship and Leadership 3 Investigator grant (1156072 and 2017131)
- Spanish Ministry of Science and Innovation, Instituto de Salud Carlos III (ISCIII), co-financed by the European Union, ERDF Funds from the European Commission, “A way of making Europe”, financed by the European Union - NextGenerationEU (PMP21/00051), PI19/01024, PI20/00721, JR19/00024,. CIBERSAM, Madrid Regional Government (S2022/BMD-7216 (AGES 3-CM)), European Union Structural Funds, European Union Seventh Framework Program, European Union H2020 Program under the Innovative Medicines Initiative 2 Joint Undertaking: Project PRISM-2 (Grant agreement No.101034377), Project AIMS-2-TRIALS (Grant agreement No 777394), Horizon Europe, the National Institute of Mental Health of the National Institutes of Health under Award Number 1U01MH124639-01 (Project ProNET) and Award Number 5P50MH115846-03 (project FEP-CAUSAL), Fundación Familia Alonso, and Fundación Alicia Koplowitz.
- the Spanish Ministry of Science and Innovation, Instituto de Salud Carlos III (ISCIII), co-financed by the European Union, ERDF Funds from the European Commission, “A way of making Europe”, financed by the European Union - NextGenerationEU (PMP21/00051), PI19/01024, PI20/00721, JR19/00024,. CIBERSAM, Madrid Regional Government (S2022/BMD-7216 (AGES 3-CM)), European Union Structural Funds, European Union Seventh Framework Program, European Union H2020 Program under the Innovative Medicines Initiative 2 Joint Undertaking: Project PRISM-2 (Grant agreement No.101034377), Project AIMS-2-TRIALS (Grant agreement No 777394), Horizon Europe, the National Institute of Mental Health of the National Institutes of Health under Award Number 1U01MH124639-01 (Project ProNET) and Award Number 5P50MH115846-03 (project FEP-CAUSAL), Fundación Familia Alonso, and Fundación Alicia Koplowitz.
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Affiliation(s)
- Shuqing Si
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
| | - Anbreen Bi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Zhaoying Yu
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Cheryl See
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Sinead Kelly
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Sonia Ambrogi
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Inmaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, 2021SGR01319, Hospital Clinic Barcelona. CIBERSAM-ISCIII. Fundació de Recerca Clínic Barcelona - August Pi i Sunyer Biomedical Research Institute (FCRB-IDIBAPS). Institute of Neuroscience, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Michael Berk
- Deakin University, Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, 2021SGR01319, Hospital Clinic Barcelona. CIBERSAM-ISCIII. Fundació de Recerca Clínic Barcelona - August Pi i Sunyer Biomedical Research Institute (FCRB-IDIBAPS). Institute of Neuroscience, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Benedicto Crespo-Facorro
- Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Department of Psychiatry, CIBERSAM, IBiS-CSIC, Sevilla, Spain
| | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Covadonga M Díaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Anne-Kathrin Fett
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
- Department of Psychology, City, University of London, London, UK
| | - Adriana Fortea
- Department of Child and Adolescent Psychiatry and Psychology, 2021SGR01319, Hospital Clinic Barcelona. CIBERSAM-ISCIII. Fundació de Recerca Clínic Barcelona - August Pi i Sunyer Biomedical Research Institute (FCRB-IDIBAPS). Institute of Neuroscience, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Sophia Frangou
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Madrid, Spain
| | - Kody G Kennedy
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
| | - Lydia Krabbendam
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioural and Movement Sciences, Institute for Brain and Behaviour (IBBA) Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Marinos Kyriakopoulos
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Pedro Morgado
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
- 2CA-Braga Cinical Academic Center, Hospital de Braga, 4710-243, Braga, Portugal
| | - Stener Nerland
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Saül Pascual-Diaz
- Laboratory of Surgical Neuroanatomy, Universitat de Barcelona, Barcelona, Spain
| | - Maria Picó-Pérez
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Departamento de Psicología Básica, Clínica y Psicobiología, Universitat Jaume I, Castelló de la Plana, Spain
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Bjørn Rishovd Rund
- Research Department, Vestre Viken Hospital Trust, 3004, Drammen, Norway
- Department of Psychology, University of Oslo, P. O. box 1094, Blindern, 0317, Oslo, Norway
| | - Elena de la Serna
- Department of Child and Adolescent Psychiatry and Psychology, 2021SGR01319, Hospital Clinic Barcelona. CIBERSAM-ISCIII. Fundació de Recerca Clínic Barcelona - August Pi i Sunyer Biomedical Research Institute (FCRB-IDIBAPS). Institute of Neuroscience, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Gisela Sugranyes
- Department of Child and Adolescent Psychiatry and Psychology, 2021SGR01319, Hospital Clinic Barcelona. CIBERSAM-ISCIII. Fundació de Recerca Clínic Barcelona - August Pi i Sunyer Biomedical Research Institute (FCRB-IDIBAPS). Institute of Neuroscience, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Chao Suo
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Diana Tordesillas-Gutiérrez
- Department of Radiology, Marqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute IDIVAL, Santander (Cantabria), Spain
- Advanced Computing and e-Science, Instituto de Física de Cantabria (UC-CSIC), Santander (Cantabria), Spain
| | - Daniela Vecchio
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Claudia Barth
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institute & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
| | - Anthony James
- Department of Psychiatry, University of Oxford, Oxford, UK
- Highfield Unit, Warneford Hospital, Oxford, UK
| | - Matthew J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
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3
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Chen Y, Cao H, Liu S, Zhang B, Zhao G, Zhang Z, Li S, Li H, Yu X, Deng H. Brain Structure Measurements Predict Individualized Treatment Outcome of 12-Week Antipsychotic Monotherapies in First-episode Schizophrenia. Schizophr Bull 2023; 49:697-705. [PMID: 37010371 PMCID: PMC10154710 DOI: 10.1093/schbul/sbad043] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
Abstract
BACKGROUND AND HYPOTHESIS Early prediction of treatment response to antipsychotics in schizophrenia remains a challenge in clinical practice. This study aimed to investigate if brain morphometries including gray matter volume and cortical thickness could serve as potential predictive biomarkers in first-episode schizophrenia. STUDY DESIGN Sixty-eight drug-naïve first-episode patients underwent baseline structural MRI scans and were subsequently randomized to receive a single antipsychotic throughout the first 12 weeks. Assessments for symptoms and social functioning were conducted by eight "core symptoms" selected from the Positive and Negative Syndrome Scale (PANSS-8) and the Personal and Social performance scale (PSP) multiple times during follow-ups. Treatment outcome was evaluated as subject-specific slope coefficients for PANSS-8 and PSP scores using linear mixed model. LASSO regression model were conducted to examine the performance of baseline gray matter volume and cortical thickness in prediction of individualized treatment outcome. STUDY RESULTS The study showed that individual brain morphometries at baseline, especially the orbitofrontal, temporal and parietal cortex, pallidum and amygdala, significantly predicted 12-week treatment outcome of PANSS-8 (r[predicted vs observed] = 0.49, P = .001) and PSP (r[predicted vs observed] = 0.40, P = .003) in first-episode schizophrenia. Moreover, the gray matter volume performed better than cortical thickness in the prediction the symptom changes (P = .034), while cortical thickness outperformed gray matter volume in the prediction of outcome of social functioning (P = .029). CONCLUSIONS These findings provide initial evidence that brain morphometry have potential to be used as prognostic predictors for antipsychotic response in patients, encouraging the future investigation of the translational value of these measures in precision psychiatry.
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Affiliation(s)
- Ying Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
- Hope Recovery and Rehabilitation Center, West China Hospital of Sichuan University, Chengdu, China
| | - Hengyi Cao
- Center for Psychiatric Neuroscience, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Shanming Liu
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Bo Zhang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | | | - Zhuoqiu Zhang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Shuiying Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Haiming Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Hong Deng
- Hope Recovery and Rehabilitation Center, West China Hospital of Sichuan University, Chengdu, China
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
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4
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Lang X, Wang D, Zhou H, Wang L, Kosten TR, Zhang XY. P50 inhibition defects, psychopathology and gray matter volume in patients with first-episode drug-naive schizophrenia. Asian J Psychiatr 2023; 80:103421. [PMID: 36563611 DOI: 10.1016/j.ajp.2022.103421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 12/08/2022] [Accepted: 12/16/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Sensory gating deficits and gray matter volume (GMV) abnormalities have been found to be associated with the pathogenesis and psychopathology of patients with schizophrenia (SCZ). However, no studies have investigated their interrelationship in first-episode treatment-naive (FETN) SCZ patients. METHODS We recruited 52 FETN SCZ patients and 57 healthy controls. The Positive and Negative Syndrome Scale (PANSS) was used to measure the psychopathology of the patients. We collected magnetic resonance imaging and P50 inhibition data from all participants. RESULTS Compared to healthy controls, patients had shorter S1 and S2 latencies but larger S2 amplitudes and P50 ratio (Bonferroni adjusted all p < 0.01). In patients, S2 latency was independently associated with PANSS total score, negative symptoms and general psychopathology (t = 2.26-2.58, both P < 0.05), whereas S1 (t = 2.44, P < 0.05) and S2 latencies (t = 2.13, P < 0.05) were associated with PANSS cognitive factor. Moreover, GMV in the left inferior temporal gyrus, left lingual gyrus and right superior occipital gyrus, and bilateral dorsolateral superior frontal gyrus were each associated with the P50 components (all p < 0.05). In addition, GMV associated with S2 latency was negatively correlated with PANSS general psychopathology (t = -2.46, p < 0.05) and total score (t = -2.34, p < 0.05). CONCLUSIONS Our findings indicate that FETN SCZ patients exhibit deficits in P50 inhibition and GMV of brain regions associated with these deficits may be associated with their psychopathological symptoms, suggesting that brain structures associated with P50 components may be important biomarkers of SCZ psychopathology. Future studies could use a prospective longitudinal design to investigate the potential causal relationship of brain structures associated with P50 components in the psychopathological symptoms of SCZ patients.
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Affiliation(s)
- XiaoE Lang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.
| | - Dongmei Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Huixia Zhou
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Li Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Thomas R Kosten
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Xiang-Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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5
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Ioakeimidis V, Haenschel C, Fett AK, Kyriakopoulos M, Dima D. Functional neurodevelopment of working memory in early-onset schizophrenia: A longitudinal FMRI study. Schizophr Res Cogn 2022; 30:100268. [PMID: 35967473 PMCID: PMC9372770 DOI: 10.1016/j.scog.2022.100268] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/05/2022] [Accepted: 08/05/2022] [Indexed: 11/01/2022] Open
Abstract
Schizophrenia, a debilitating disorder with typical manifestation of clinical symptoms in early adulthood, is characterized by cognitive impairments in executive processes such as in working memory (WM). However, there is a rare case of individuals with early-onset schizophrenia (EOS) starting before their 18th birthday, while WM and its neural substrates are still undergoing maturation. Using the WM n-back task with functional magnetic resonance imaging, we assessed the functional neurodevelopment of WM in adolescents with EOS and age- and gender-matched typically developing controls. Participants underwent neuroimaging in the same scanner twice, once at age 17 and at 21 (mean interscan interval = 4.3 years). General linear model analysis was performed to explore WM neurodevelopmental changes within and between groups. Psychopathological scores were entered in multiple regressions to detect brain regions whose longitudinal functional change was predicted by baseline symptoms in EOS. WM neurodevelopment was characterized by widespread functional reductions in frontotemporal and cingulate brain areas in patients and controls. No between-group differences were found in the trajectory of WM change. Baseline symptom scores predicted functional neurodevelopmental changes in frontal, cingulate, parietal, occipital, and cerebellar areas. The adolescent brain undergoes developmental processes such as synaptic pruning, which may underlie the refinement WM of network. Prefrontal and parietooccipital activity reduction is affected by clinical presentation of symptoms. Using longitudinal neuroimaging methods in a rare diagnostic sample of patients with EOS may help the advancement of neurodevelopmental biomarkers intended as pharmacological targets to tackle WM impairment.
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6
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Altered Dynamic Functional Connectivity of Cuneus in Schizophrenia Patients: A Resting-State fMRI Study. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app112311392] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Objective: Schizophrenia (SZ) is a functional mental condition that has a significant impact on patients’ social lives. As a result, accurate diagnosis of SZ has attracted researchers’ interest. Based on previous research, resting-state functional magnetic resonance imaging (rsfMRI) reported neural alterations in SZ. In this study, we attempted to investigate if dynamic functional connectivity (dFC) could reveal changes in temporal interactions between SZ patients and healthy controls (HC) beyond static functional connectivity (sFC) in the cuneus, using the publicly available COBRE dataset. Methods: Sliding windows were applied to 72 SZ patients’ and 74 healthy controls’ (HC) rsfMRI data to generate temporal correlation maps and, finally, evaluate mean strength (dFC-Str), variability (dFC-SD and ALFF) in each window, and the dwelling time. The difference in functional connectivity (FC) of the cuneus between two groups was compared using a two-sample t-test. Results: Our findings demonstrated decreased mean strength connectivity between the cuneus and calcarine, the cuneus and lingual gyrus, and between the cuneus and middle temporal gyrus (TPOmid) in subjects with SZ. Moreover, no difference was detected in variability (standard deviation and the amplitude of low-frequency fluctuation), the dwelling times of all states, or static functional connectivity (sFC) between the groups. Conclusions: Our verdict suggest that dynamic functional connectivity analyses may play crucial roles in unveiling abnormal patterns that would be obscured in static functional connectivity, providing promising impetus for understanding schizophrenia disease.
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7
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Zhang YJ, Cai XL, Hu HX, Zhang RT, Wang Y, Lui SSY, Cheung EFC, Chan RCK. Social brain network predicts real-world social network in individuals with social anhedonia. Psychiatry Res Neuroimaging 2021; 317:111390. [PMID: 34537603 DOI: 10.1016/j.pscychresns.2021.111390] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 08/11/2021] [Accepted: 09/08/2021] [Indexed: 01/10/2023]
Abstract
Social anhedonia (SA) impairs social functioning in schizophrenia. Previous evidence suggested that certain brain regions predict longitudinal change of real-world social outcomes, yet previous study designs have failed to capture the corresponding functional connectivity among the brain regions involved. This study measured the real-world social network in 22 pairs of individuals with high and low levels of SA, and followed up them for 21 months. We further explored whether resting-state social brain network characteristics could predict the longitudinal variations of real-world social network. Our results showed that social brain network characteristics could predict the change of real-world social networks in both the high SA and low SA groups. However, the results differed between the two groups, i.e., the topological characteristics of the social brain network predicted real-world social network change in the high SA group; whereas the functional connectivity within the social brain network predicted real-world social network change in the low SA group. Principal component analysis and linear regression analysis on the entire sample showed that the functional connectivity component centered at the right orbital inferior frontal gyrus could best predict social network change. Our findings support the notion that social brain network characteristics could predict social network development.
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Affiliation(s)
- Yi-Jing Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xin-Lu Cai
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
| | - Hui-Xin Hu
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Rui-Ting Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Simon S Y Lui
- Castle Peak Hospital, Hong Kong Special Administrative Region, China; Department of Psychiatry, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Eric F C Cheung
- Department of Psychiatry, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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8
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Metzak PD, Addington J, Hassel S, Goldstein BI, MacIntosh BJ, Lebel C, Wang JL, Kennedy SH, MacQueen GM, Bray S. Functional imaging in youth at risk for transdiagnostic serious mental illness: Initial results from the PROCAN study. Early Interv Psychiatry 2021; 15:1276-1291. [PMID: 33295151 DOI: 10.1111/eip.13078] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 09/29/2020] [Accepted: 11/13/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND In their early stages, serious mental illnesses (SMIs) are often indistinguishable from one another, suggesting that studying alterations in brain activity in a transdiagnostic fashion could help to understand the neurophysiological origins of different SMI. The purpose of this study was to examine brain activity in youth at varying stages of risk for SMI using functional magnetic resonance imaging tasks (fMRI) that engage brain systems believed to be affected. METHODS Two hundred and forty three participants at different stages of risk for SMI were recruited to the Canadian Psychiatric Risk and Outcome (PROCAN) study, however only 179 were scanned. Stages included asymptomatic participants at no elevated risk, asymptomatic participants at elevated risk due to family history, participants with undifferentiated general symptoms of mental illness, and those experiencing attenuated versions of diagnosable psychiatric illnesses. The fMRI tasks included: (1) a monetary incentive delay task; (2) an emotional Go-NoGo and (3) an n-back working memory task. RESULTS Strong main effects with each of the tasks were found in brain regions previously described in the literature. However, there were no significant differences in brain activity between any of the stages of risk for SMI for any of the task contrasts, after accounting for site, sex and age. Furthermore, results indicated no significant differences even when participants were dichotomized as asymptomatic or symptomatic. CONCLUSIONS These results suggest that univariate BOLD responses during typical fMRI tasks are not sensitive markers of SMI risk and that further study, particularly longitudinal designs, will be necessary to understand brain changes underlying the early stages of SMI.
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Affiliation(s)
- Paul D Metzak
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Jean Addington
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Stefanie Hassel
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Benjamin I Goldstein
- Center for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Department of Pharmacology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Catherine Lebel
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.,Child & Adolescent Imaging Research (CAIR) Program, Calgary, Alberta, Canada
| | - Jian Li Wang
- Work & Mental Health Research Unit, Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada.,School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, University Health Network, Toronto, Ontario, Canada.,Department of Psychiatry, St. Michael's Hospital, Toronto, Ontario, Canada.,Arthur Somner Rotenberg Chair in Suicide and Depression Studies, St. Michael's Hospital, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Glenda M MacQueen
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Signe Bray
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.,Child & Adolescent Imaging Research (CAIR) Program, Calgary, Alberta, Canada
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9
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Wen D, Wang J, Yao G, Liu S, Li X, Li J, Li H, Xu Y. Abnormality of subcortical volume and resting functional connectivity in adolescents with early-onset and prodromal schizophrenia. J Psychiatr Res 2021; 140:282-288. [PMID: 34126421 DOI: 10.1016/j.jpsychires.2021.05.052] [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: 08/04/2020] [Revised: 05/05/2021] [Accepted: 05/21/2021] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Studies have found that there may be qualitative changes in brain structure and function in adolescents with early-onset schizophrenia (EOS) and prodromal schizophrenia (PDS). However, the abnormal brain structure and function of adolescents with EOS and PDS have received little attention, and their underlying neural mechanisms are still unknown. METHODS In this study, structural and resting-state functional magnetic resonance imaging (fMRI) were used to compare the subcortical volume and functional connectivity (FC) among EOS, PDS, and a control group. The Positive and Negative Symptom Scale (PNASS) questionnaire was used for clinical evaluation. Structural MRI was used to calculate cortical-based morphological volume and subcortical volume, and resting-state fMRI was used to analyze seed-based FC. RESULTS Structural MRI analyses showed that the gray matter volume of the hippocampus in EOS was significantly smaller than that in the control group, and the gray matter volume of the hippocampus, amygdala, and caudate nucleus in PDS was significantly smaller than that in the control group. Additionally, correlation analysis showed that the gray matter volume of the hippocampus was significantly negatively correlated with the negative symptom score of PANSS in EOS. When the hippocampus was used as the seed, fMRI analysis found that the FC between the hippocampus and the posterior cingulate gyrus and precuneus in EOS was significantly weaker than that in the control group. CONCLUSION Our results indicate that the brain structure and function are abnormal in EOS and PDS, with abnormalities mainly concentrated in the limbic system, including the hippocampus, amygdala, caudate nucleus, cingulate gyrus, and precuneus. These findings provide a new direction for early intervention and improvement of the prognosis of schizophrenic patients.
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Affiliation(s)
- Dan Wen
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Junjie Wang
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Guanqun Yao
- School of Clinical Medicine, Tsinghua University, Beijing, China; Department of Psychiatry, Yuquan Hospital, Tsinghua University, Beijing, China
| | - Sha Liu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Xinrong Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Jing Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Hong Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.
| | - Yong Xu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; Department of Mental Health, Shanxi Medical University, Taiyuan, China.
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10
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Nath M, Wong TP, Srivastava LK. Neurodevelopmental insights into circuit dysconnectivity in schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2021; 104:110047. [PMID: 32721441 DOI: 10.1016/j.pnpbp.2020.110047] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 07/01/2020] [Accepted: 07/21/2020] [Indexed: 11/30/2022]
Abstract
Schizophrenia is increasingly being recognized as a disorder of brain circuits of developmental origin. Animal models, however, have been technically limited in exploring the effects of early developmental circuit abnormalities on the maturation of the brain and associated behavioural outputs. This review discusses evidence of the developmental emergence of circuit abnormalities in schizophrenia, followed by a critical assessment on how animal models need to be adapted through optimized tools in order to spatially and temporally manipulate early developmental events, thereby providing insight into the causal contribution of developmental perturbations to schizophrenia.
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Affiliation(s)
- Moushumi Nath
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Canada.
| | - Tak Pan Wong
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Canada
| | - Lalit K Srivastava
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Canada
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11
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Yang C, Tang J, Liu N, Yao L, Xu M, Sun H, Tao B, Gong Q, Cao H, Zhang W, Lui S. The Effects of Antipsychotic Treatment on the Brain of Patients With First-Episode Schizophrenia: A Selective Review of Longitudinal MRI Studies. Front Psychiatry 2021; 12:593703. [PMID: 34248691 PMCID: PMC8264251 DOI: 10.3389/fpsyt.2021.593703] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 05/28/2021] [Indexed: 02/05/2023] Open
Abstract
A large number of neuroimaging studies have detected brain abnormalities in first-episode schizophrenia both before and after treatment, but it remains unclear how these abnormalities reflect the effects of antipsychotic treatment on the brain. To summarize the findings in this regard and provide potential directions for future work, we reviewed longitudinal structural and functional imaging studies in patients with first-episode schizophrenia before and after antipsychotic treatment. A total of 36 neuroimaging studies was included, involving 21 structural imaging studies and 15 functional imaging studies. Both anatomical and functional brain changes in patients after treatment were consistently observed in the frontal and temporal lobes, basal ganglia, limbic system and several key components within the default mode network (DMN). Alterations in these regions were affected by factors such as antipsychotic type, course of treatment, and duration of untreated psychosis (DUP). Over all we showed that: (a) The striatum and DMN were core target regions of treatment in schizophrenia, and their changes were related to different antipsychotics; (b) The gray matter of frontal and temporal lobes tended to reduce after long-term treatment; and (c) Longer DUP was accompanied with faster hippocampal atrophy after initial treatment, which was also associated with poorer outcome. These findings are in accordance with previous notions but should be interpreted with caution. Future studies are needed to clarify the effects of different antipsychotics in multiple conditions and to identify imaging or other biomarkers that may predict antipsychotic treatment response. With such progress, it may help choose effective pharmacological interventional strategies for individuals experiencing recent-onset schizophrenia.
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Affiliation(s)
- Chengmin Yang
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Tang
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Naici Liu
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Li Yao
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Mengyuan Xu
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Hui Sun
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Bo Tao
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Hengyi Cao
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, United States.,Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, United States
| | - Wenjing Zhang
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Su Lui
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
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12
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Zhou C, Xue C, Chen J, Amdanee N, Tang X, Zhang H, Zhang F, Zhang X, Zhang C. Altered Functional Connectivity of the Nucleus Accumbens Network Between Deficit and Non-deficit Schizophrenia. Front Psychiatry 2021; 12:704631. [PMID: 34658949 PMCID: PMC8514672 DOI: 10.3389/fpsyt.2021.704631] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 09/03/2021] [Indexed: 11/20/2022] Open
Abstract
Deficit schizophrenia (DS), which is marked by stable negative symptoms, is regarded as a homogeneous subgroup of schizophrenia. While DS patients have structurally altered nucleus accumbens (NAcc) compared to non-deficit schizophrenia (NDS) patients and healthy individuals, the investigation of NAcc functional connectivity (FC) with negative symptoms and neurocognition could provide insights into the pathophysiology of schizophrenia. 58 DS, 93 NDS, and 113 healthy controls (HCs) underwent resting-state functional magnetic resonance (rsfMRI). The right and left NAcc were respectively used as seed points to construct the functional NAcc network in whole-brain FC analysis. ANCOVA compared the differences in NAcc network FC and partial correlation analysis explored the relationships between altered FC of NAcc, negative symptoms and neurocognition. Compared to HCs, both DS and NDS patients showed decreased FC between the left NAcc (LNAcc) and bilateral middle cingulate gyrus, and between the right NAcc (RNAcc) and right middle frontal gyrus (RMFG), as well as increased FC between bilateral NAcc and bilateral lingual gyrus. Moreover, the FC between the LNAcc and bilateral calcarine gyrus (CAL) was lower in the DS group compared to NDS patients. Correlation analysis indicated that FC value of LNAcc-CAL was negatively correlated to negative symptoms. Furthermore, aberrant FC values within the NAcc network were correlated with severity of clinical symptoms and neurocognitive impairments in DS and NDS patients. This study demonstrated abnormal patterns of FC in the NAcc network between DS and NDS. The presence of altered LNAcc-CAL FC might be involved in the pathogenesis of negative symptoms in schizophrenia.
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Affiliation(s)
- Chao Zhou
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Chen Xue
- Department of Radiology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China
| | - Nousayhah Amdanee
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Xiaowei Tang
- Department of Psychiatry, Affiliated WuTaiShan Hospital of Medical College of Yangzhou University, Yangzhou, China
| | - Hongying Zhang
- Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou University, Yangzhou, China
| | - Fuquan Zhang
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Caiyi Zhang
- Department of Psychiatry, Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, China
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13
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Brain structural correlates of functional capacity in first-episode psychosis. Sci Rep 2020; 10:17229. [PMID: 33056996 PMCID: PMC7560620 DOI: 10.1038/s41598-020-73553-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 09/08/2020] [Indexed: 02/06/2023] Open
Abstract
Impaired functional capacity is a core feature of schizophrenia and presents even in first-episode psychosis (FEP) patients. Impairments in daily functioning tend to persist despite antipsychotic therapy but their neural basis is less clear. Previous studies suggest that volume loss in frontal cortex might be an important contributor, but findings are inconsistent. We aimed to comprehensively investigate the brain structural correlates of functional capacity in FEP using MRI and a reliable objective measure of functioning [University of California, San Diego Performance-Based Skills Assessment (UPSA)]. In a sample of FEP (n = 39) and a well-matched control group (n = 21), we measured cortical thickness, gray matter volume, and white matter tract integrity (fractional anisotropy, FA) within brain regions implicated by previous work. The FEP group had thinner cortex in various frontal regions and fusiform, and reduced FA in inferior longitudinal fasciculus (ILF). In FEP, poorer functional capacity correlated with reduced superior frontal volume and lower FA in left ILF. Importantly, frontal brain volumes and integrity of the ILF were identified as the structural correlates of functional capacity in FEP, controlling for other relevant factors. These findings enhance mechanistic understanding of functional capacity deficits in schizophrenia by specifying the underlying neural correlates. In future, this could help inform intervention strategies.
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Characteristics of gray matter alterations in never-treated and treated chronic schizophrenia patients. Transl Psychiatry 2020; 10:136. [PMID: 32398765 PMCID: PMC7217843 DOI: 10.1038/s41398-020-0828-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 04/15/2020] [Accepted: 04/22/2020] [Indexed: 02/05/2023] Open
Abstract
Though gray matter deficits have been consistently revealed in chronic treated schizophrenia, it is still not clear whether there are different brain alterations between chronic never treated and treated patients. To explore the different patterns of gray matter alterations among chronic never treated patients and those treated with monotherapy, we recruited 35 never-treated chronic schizophrenia patients with illness durations ranging from 5 to 48 years, 20 illness duration-matched risperidone monotherapy and 20 clozapine monotherapy patients, and 55 healthy controls. GM (surface area, cortical thickness, and cortical volume) measures were extracted and compared using ANCOVA across the four groups followed by post hoc tests. Relative to controls, both treated and never-treated chronic schizophrenia patients showed reduced GM mainly involving the bilateral medial and rostral middle frontal, left banks superior temporal sulcus, left fusiform, and left pericalcarine cortex and increased in the left cuneus. Compared with the untreated patient group, the two treated groups showed reductions mainly in the bilateral prefrontal, temporal, and left inferior parietal lobules. The clozapine monotherapy patients demonstrated more severe decreases in the bilateral prefrontal cortex and left cuneus and less severe decreases in the left ventral temporal lobe than risperidone monotherapy patients. These findings provide new insights into the long-term effects of antipsychotic treatment on gray matter alterations in schizophrenia patients. Furthermore, the characteristic findings of reductions in the inferior parietal lobule might be specific for long-term antipsychotic treatment, which could be a possible target for medication development in the future.
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15
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Duan X, Hu M, Huang X, Dong X, Zong X, He C, Xiao J, Tang J, Chen X, Chen H. Effects of risperidone monotherapy on the default-mode network in antipsychotic-naïve first-episode schizophrenia: Posteromedial cortex heterogeneity and relationship with the symptom improvements. Schizophr Res 2020; 218:201-208. [PMID: 31954611 DOI: 10.1016/j.schres.2020.01.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 10/23/2019] [Accepted: 01/06/2020] [Indexed: 12/12/2022]
Abstract
The default mode network (DMN) has been consistently detected abnormally in schizophrenia. However, the effects of antipsychotics on this network are still under debate, and inconsistent findings may be due to the functional heterogeneity within the DMN, especially in the component regions of the posteromedial cortex (PMC). Here, we conducted a longitudinal research on the resting-state functional connectivity of the PMC subdivisions on 33 treatment-naive first-episode patients with schizophrenia at baseline and after 8 weeks of risperidone treatment through resting-state functional magnetic resonance imaging. At baseline, the patients demonstrated decreased connectivity of the three PMC seeds with several brain regions (target regions) compared with healthy controls. We then tested the effect of antipsychotic treatment on the functional connectivity between the three seeds and the target regions. We found that, one of the three seeds encompassed in PMC, namely, posterior cingulate cortex (PCC), was observed to have increased functional connectivity with the bilateral thalamus and the left lingual gyrus (LG). On the contrary, the functional connectivity between the target regions and the two remaining seeds, namely, the retrosplenial cortex and precuneus, was unaffected by risperidone treatment. Correlation analysis revealed a positive correlation between longitudinal change of PCC-LG connectivity and symptom improvement. These findings indicated the heterogeneity of the PMC in response to antipsychotic treatment and suggested the role of PCC as a treatment biomarker for schizophrenia.
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Affiliation(s)
- Xujun Duan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Maolin Hu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, PR China; Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Division of Molecular Imaging and Neuropathology, Columbia University and New York State Psychiatric Institute, New York, NY, USA
| | - Xinyue Huang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Xia Dong
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Xiaofen Zong
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, PR China; Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Division of Molecular Imaging and Neuropathology, Columbia University and New York State Psychiatric Institute, New York, NY, USA
| | - Changchun He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Jinming Xiao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China
| | - Jinsong Tang
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Mental Health Institute of Central South University, Changsha, Hunan, PR China; China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Changsha, Hunan, PR China
| | - Xiaogang Chen
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Mental Health Institute of Central South University, Changsha, Hunan, PR China; China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Changsha, Hunan, PR China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, PR China.
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16
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Influence of cognitive reserve in schizophrenia: A systematic review. Neurosci Biobehav Rev 2020; 108:149-159. [DOI: 10.1016/j.neubiorev.2019.10.019] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 10/10/2019] [Accepted: 10/26/2019] [Indexed: 01/08/2023]
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Palaniyappan L. Inefficient neural system stabilization: a theory of spontaneous resolutions and recurrent relapses in psychosis. J Psychiatry Neurosci 2019; 44:367-383. [PMID: 31245961 PMCID: PMC6821513 DOI: 10.1503/jpn.180038] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 02/07/2019] [Accepted: 03/05/2019] [Indexed: 12/21/2022] Open
Abstract
A striking feature of psychosis is its heterogeneity. Presentations of psychosis vary from transient symptoms with no functional consequence in the general population to a tenacious illness at the other extreme, with a wide range of variable trajectories in between. Even among patients with schizophrenia, who are diagnosed on the basis of persistent deterioration, marked variation is seen in response to treatment, frequency of relapses and degree of eventual recovery. Existing theoretical accounts of psychosis focus almost exclusively on how symptoms are initially formed, with much less emphasis on explaining their variable course. In this review, I present an account that links several existing notions of the biology of psychosis with the variant clinical trajectories. My aim is to incorporate perspectives of systems neuroscience in a staging framework to explain the individual variations in illness course that follow the onset of psychosis.
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Affiliation(s)
- Lena Palaniyappan
- From the Department of Psychiatry and Robarts Research Institute, University of Western Ontario and Lawson Health Research Institute, London, Ont., Canada
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18
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Gallardo-Ruiz R, Crespo-Facorro B, Setién-Suero E, Tordesillas-Gutierrez D. Long-Term Grey Matter Changes in First Episode Psychosis: A Systematic Review. Psychiatry Investig 2019; 16:336-345. [PMID: 31132837 PMCID: PMC6539265 DOI: 10.30773/pi.2019.02.10.1] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 02/10/2019] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE To determine possible progressive changes of the grey matter at the first stages of the schizophrenia spectrum disorders, and to determine what regions are involved in these changes. METHODS We searched the literature concerning studies on longitudinal changes in grey matter in first-episode psychosis using magnetic resonance imaging, especially studies with an interval between scans of more than a year. Only articles published before 2018 were searched. We selected 19 magnetic resonance imaging longitudinal studies that used different neuroimaging analysis techniques to study changes in cerebral grey matter in a group of patients with a first episode of psychosis. RESULTS Patients with first episode of psychosis showed a decrease over time in cortical grey matter compared with a group of control subjects in frontal, temporal (specifically in superior regions), parietal, and subcortical regions. In addition to the above, studies indicate that patients showed a grey matter decrease in cerebellum and lateral ventricles volume. CONCLUSION The results suggest a decrease in grey matter in the years after the first episode of psychosis. Furthermore, the results of the studies showed consistency, regardless of the methods used in their analyses, as well as the time intervals between image collections.
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Affiliation(s)
- Ruth Gallardo-Ruiz
- Neuroimaging Unit, Technological Facilities,Valdecilla Biomedical Research Institute IDIVAL, Santander, Cantabria, Spain
| | - Benedicto Crespo-Facorro
- Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain.,CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Esther Setién-Suero
- Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain.,CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Diana Tordesillas-Gutierrez
- Neuroimaging Unit, Technological Facilities,Valdecilla Biomedical Research Institute IDIVAL, Santander, Cantabria, Spain.,CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
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19
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Yu T, Li Y, Fan F, Cao H, Luo X, Tan S, Yang F, Zhang X, Shugart YY, Hong LE, Li CSR, Tan Y. Decreased Gray Matter Volume of Cuneus and Lingual Gyrus in Schizophrenia Patients with Tardive Dyskinesia is Associated with Abnormal Involuntary Movement. Sci Rep 2018; 8:12884. [PMID: 30150749 PMCID: PMC6110787 DOI: 10.1038/s41598-018-31186-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 08/06/2018] [Indexed: 12/29/2022] Open
Abstract
Tardive dyskinesia (TD) is a devastating motor disorder associated with the etiological process of schizophrenia or antipsychotic medication treatments. To examine whether cerebral morphological changes may manifest in TD, we used voxel-based morphometry to analyze high-resolution T1-weighted brain structural magnetic resonance images from 32 schizophrenics with TD (TD group), 31 schizophrenics without TD (non-TD group), and 32 healthy controls (HC group). We also assessed psychopathological symptoms with the Positive and Negative Syndrome Scale (PANSS), and TD severity with the Abnormal Involuntary Movement Scale (AIMS). We compared gray matter volumes (GMVs) among groups, and tested for correlations between GMV changes and psychopathological symptoms or TD severity. The results showed significant differences in GMV in the frontal and temporal cortices, insula and cerebellum among the three groups. Brainstem and inferior frontal and precentral gyri GMVs were significantly larger, whereas cuneus and lingual gyrus GMVs were significantly smaller in the TD group as compared to non-TD group. Further, the cuneus and lingual gyrus GMVs were positively correlated with AIMS scores in the TD group. The current results suggest that TD may be associated with the alterations in GMV that are different from that of schizophrenics without TD. Further studies are needed to confirm and to examine the functional significance of these structural findings.
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Affiliation(s)
- Ting Yu
- Peking University HuiLongGuan Clinical Medical School, Beijing, P. R. China
| | - Yanli Li
- Peking University HuiLongGuan Clinical Medical School, Beijing, P. R. China
| | - Fengmei Fan
- Peking University HuiLongGuan Clinical Medical School, Beijing, P. R. China
| | - Hongbao Cao
- Uniton Statistical Genomics, National Institute of Mental Health, NIH, Bethesda, 20892, USA
| | - Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Shuping Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing, P. R. China
| | - Fude Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing, P. R. China
| | - Xiangyang Zhang
- Peking University HuiLongGuan Clinical Medical School, Beijing, P. R. China.,Department of Psychiatry and Behavioral Sciences, Harris County Psychiatric Center, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yin Yao Shugart
- Uniton Statistical Genomics, National Institute of Mental Health, NIH, Bethesda, 20892, USA
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Yunlong Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing, P. R. China.
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20
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Li G, Zhang X, Zhang J, Wang E, Zhang H, Li Y. Magnetic resonance study on the brain structure and resting-state brain functional connectivity in primary insomnia patients. Medicine (Baltimore) 2018; 97:e11944. [PMID: 30142814 PMCID: PMC6113012 DOI: 10.1097/md.0000000000011944] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
The aim of the study was to study the changes in brain structure and functional connectivity in primary insomnia (PI) patients, as well as to explore the biological characteristics of PI abnormality and the pathophysiological mechanism underlying the brain structure and the abnormal functional connectivity under depression.Voxel-based morphometry (VBM) technique and resting-state functional connectivity magnetic resonance imaging (rs-fcMRI) techniques were used to investigate the brain structure and rs-fc in PI and light-moderate primary insomnia with depression (PID) patients; healthy individuals were used as the normal control (NC) group. The differences between the 3 groups, the correlation between the brain network connection of the anterior cingulate cortex (ACC), and clinical information were compared.Compared with the NC group, patients in PI and PID groups showed changes in brain structure and brain functional connectivity, which might be related to the pathophysiological mechanism of primary insomnia. PI patients had enhanced connections in the left anterior cingulate cortex/insula, left posterior cingulate, and the right limbic lobe/cingulate gyrus/paracingulate gyrus with ACC. Compared with PI patients, PID patients had weaker brain functional connectivity in the left corpus callosum/posterior cingulate with ACC and enhanced functional connectivity in the frontal and limbic lobes with ACC, suggesting that PI patients with depression had abnormal brain network connection.Primary insomnia has abnormalities in intracephalic multisystem structure and neural network connection. The interaction and influence between depression and insomnia aggravate the cognitive function damage. This study provided the theoretical basis for exploring the neuropathology underlying the PID disorder and cognitive function.
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Affiliation(s)
- Gang Li
- Department of Neurology, People's Hospital of Zhengzhou University and Henan Provincial People's Hospital
| | - Xiaoqi Zhang
- Department of Radiology, The Second Affiliated Hospital of Zhengzhou University
| | - Jiewen Zhang
- Department of Neurology, People's Hospital of Zhengzhou University and Henan Provincial People's Hospital
| | - Enfeng Wang
- Department of Radiology, People's Hospital of Zhengzhou University and Henan Provincial People's Hospital, Zhengzhou, Henan, China
| | - Hongju Zhang
- Department of Neurology, People's Hospital of Zhengzhou University and Henan Provincial People's Hospital
| | - Yongli Li
- Department of Radiology, People's Hospital of Zhengzhou University and Henan Provincial People's Hospital, Zhengzhou, Henan, China
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21
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22
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Castro-Fornieles J, Bargalló N, Calvo A, Arango C, Baeza I, Gonzalez-Pinto A, Parellada M, Graell M, Moreno C, Otero S, Janssen J, Rapado-Castro M, de la Serna E. Gray matter changes and cognitive predictors of 2-year follow-up abnormalities in early-onset first-episode psychosis. Eur Child Adolesc Psychiatry 2018; 27:113-126. [PMID: 28707138 DOI: 10.1007/s00787-017-1013-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 06/02/2017] [Indexed: 11/26/2022]
Abstract
This study aims to examine regional gray matter (GM) changes over a period of 2 years in patients diagnosed with early-onset first-episode psychosis (EO-FEP), and to identify baseline predictors of abnormalities at the follow-up. Fifty-nine patients with EO-FEP aged 11-17 years were assessed. Magnetic resonance imaging was carried out at admission and 2 years later. Changes over time were assessed with voxel-based morphometry. Fifty-nine patients (34 schizophrenia-SCZ, 15 bipolar disorder-BP, and 10 other psychotic disorders) and 70 healthy controls were assessed. At baseline no differences were found between the EO-FEP groups and control subjects. Over time, SCZ patients presented a larger GM decrease in the orbitofrontal cortex, anterior midline frontal cortex, cingulate, left caudate, and thalamus. BP patients also had a larger GM decrease in the right putamen, right orbitofrontal cortex, and anterior and midline region of the right superior frontal gyrus and left caudate, but with fewer areas showing significant differences than in the comparison between SCZ and controls. In the cross-sectional analysis, only SCZ patients showed differences with respect to controls in some GM areas. Significant baseline predictors of a 2-year reduction in GM were IQ and working memory. EO-FEP patients did not show differences in GM compared to controls at baseline. Both SCZ and BP patients showed a greater decrease in specific areas during the first 2 years. At follow-up, only SCZ patients differed significantly from controls in specific brain areas. The GM reduction was predicted by baseline cognitive variables.
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Affiliation(s)
- Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, SGR-489, Neurosciences Institute, Hospital Clínic of Barcelona, IDIBAPS, CIBERSAM, Villarroel, 170, 08036, Barcelona, Spain.
- Department of Psychiatry and Psychobiology, University of Barcelona, Barcelona, Spain.
| | - Nuria Bargalló
- Image Diagnostic Center, Hospital Clinic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Anna Calvo
- Image Diagnostic Center, Hospital Clinic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Instituto de Investigación Sanitaria Gregorio Marañón, IiSGM, Hospital General Universitario Gregorio Marañón, School of Medicine, CIBERSAM, Universidad Complutense, Madrid, Spain
| | - Immaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, SGR-489, Neurosciences Institute, Hospital Clínic of Barcelona, IDIBAPS, CIBERSAM, Villarroel, 170, 08036, Barcelona, Spain
| | - Ana Gonzalez-Pinto
- Department of Psychiatry, Hospital Santiago Apóstol, CIBERSAM, EHU/University of the Basque Country, Vitoria, Spain
| | - Mara Parellada
- Department of Child and Adolescent Psychiatry, Instituto de Investigación Sanitaria Gregorio Marañón, IiSGM, Hospital General Universitario Gregorio Marañón, School of Medicine, CIBERSAM, Universidad Complutense, Madrid, Spain
| | - Montserrat Graell
- Department of Child and Adolescent Psychiatry and Psychology, CIBERSAM, Hospital Infantil Universitario Niño Jesús, Madrid, Spain
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Instituto de Investigación Sanitaria Gregorio Marañón, IiSGM, Hospital General Universitario Gregorio Marañón, School of Medicine, CIBERSAM, Universidad Complutense, Madrid, Spain
| | - Soraya Otero
- Child and Adolescent Mental Health Unit, Department of Psychiatry and Psychology, CIBERSAM, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Instituto de Investigación Sanitaria Gregorio Marañón, IiSGM, Hospital General Universitario Gregorio Marañón, School of Medicine, CIBERSAM, Universidad Complutense, Madrid, Spain
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marta Rapado-Castro
- Department of Child and Adolescent Psychiatry, Instituto de Investigación Sanitaria Gregorio Marañón, IiSGM, Hospital General Universitario Gregorio Marañón, School of Medicine, CIBERSAM, Universidad Complutense, Madrid, Spain
| | - Elena de la Serna
- Department of Child and Adolescent Psychiatry and Psychology, SGR-489, Neurosciences Institute, Hospital Clínic of Barcelona, IDIBAPS, CIBERSAM, Villarroel, 170, 08036, Barcelona, Spain
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Schiavone S, Camerino GM, Mhillaj E, Zotti M, Colaianna M, De Giorgi A, Trotta A, Cantatore FP, Conte E, Bove M, Tucci P, Morgese MG, Trabace L. Visceral Fat Dysfunctions in the Rat Social Isolation Model of Psychosis. Front Pharmacol 2017; 8:787. [PMID: 29167640 PMCID: PMC5682313 DOI: 10.3389/fphar.2017.00787] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Accepted: 10/17/2017] [Indexed: 01/18/2023] Open
Abstract
Medication with neuroleptics has been associated with adipose tissue dysfunctions and, in particular, with increased visceral fat amount. However, several studies suggested that antipsychotic treatment might not be the main responsible of fat mass accumulation, as this has been also described in not treated psychotic patients. One of the most used “drug-free” rodent models of psychosis is the social isolation rearing of young adult rats, which provides a non-pharmacologic method of inducing long-term alterations reminiscent of symptoms seen in psychotic patients. Recent data highlighted a crucial role of redox imbalance in adipose tissue dysfunctions, in terms of decreased antioxidant defense and increased reactive oxygen species (ROS). Here, we investigated possible oxidative stress-related biomolecular alterations associated with visceral fat increase in 7 week isolated rats. To this purpose, we quantified total and visceral fat amount by using dual-energy X-ray (DEXA) absorptiometry. On visceral fat, we analyzed the expression of specific ROS-producer genes (Nox1, Nox4, Hmox-1), antioxidant enzymes (Prdx1 and Ucp-1) and oxidative stress-induced damage markers (Cidea, Slc2a4, and Acacb). The impact of oxidative stress on beta3-adrenergic receptors (Adrb3), at both mRNA and protein level, was also assessed. We found that 7 weeks of social isolation induced an increase in total and visceral fat, associated with a decrease in Prdx1 (mRNA and protein) as well as Ucp-1 mRNA levels and an enhanced expression of Nox1 (mRNA and protein) and Hmox-1 mRNA. No differences were detected in Nox4 mRNA levels between grouped and isolated animals. Elevations in Cidea, Slc2a4, and Acacb expression in visceral fat of isolated animals accounted for oxidative stress-related damage in this tissue, further associated with a significant increase in Adrb3 mRNA and protein. Our results provide a novel understanding of the pathological link existing among psychosocial stress-induced psychosis, adipose tissue dysfunctions and redox imbalance, opening new therapeutic perspectives for the treatment of alterations in peripheral tissues associated with this mental disorder.
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Affiliation(s)
- Stefania Schiavone
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Giulia M Camerino
- Department of Pharmacy and Drug Sciences, University of Bari Aldo Moro, Bari, Italy
| | - Emanuela Mhillaj
- Department of Physiology and Pharmacology, Sapienza Università di Roma, Rome, Italy
| | - Margherita Zotti
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Marilena Colaianna
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Angelo De Giorgi
- Dual Diagnosis Unit, Azienda Sanitaria Locale della Provincia di Foggia, Foggia, Italy
| | - Antonello Trotta
- Rheumatology Unit, Foggia City Hospital "Ospedali Riuniti", Foggia, Italy
| | | | - Elena Conte
- Department of Pharmacy and Drug Sciences, University of Bari Aldo Moro, Bari, Italy
| | - Maria Bove
- Department of Physiology and Pharmacology, Sapienza Università di Roma, Rome, Italy
| | - Paolo Tucci
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Maria G Morgese
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Luigia Trabace
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
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Wojtalik JA, Smith MJ, Keshavan MS, Eack SM. A Systematic and Meta-analytic Review of Neural Correlates of Functional Outcome in Schizophrenia. Schizophr Bull 2017; 43:1329-1347. [PMID: 28204755 PMCID: PMC5737663 DOI: 10.1093/schbul/sbx008] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Individuals with schizophrenia are burdened with impairments in functional outcome, despite existing interventions. The lack of understanding of the neurobiological correlates supporting adaptive function in the disorder is a significant barrier to developing more effective treatments. This research conducted a systematic and meta-analytic review of all peer-reviewed studies examining brain-functional outcome relationships in schizophrenia. A total of 53 (37 structural and 16 functional) brain imaging studies examining the neural correlates of functional outcome across 1631 individuals with schizophrenia were identified from literature searches in relevant databases occurring between January, 1968 and December, 2016. Study characteristics and results representing brain-functional outcome relationships were systematically extracted, reviewed, and meta-analyzed. Results indicated that better functional outcome was associated with greater fronto-limbic and whole brain volumes, smaller ventricles, and greater activation, especially during social cognitive processing. Thematic observations revealed that the dorsolateral prefrontal cortex, anterior cingulate, posterior cingulate, parahippocampal gyrus, superior temporal sulcus, and cerebellum may have role in functioning. The neural basis of functional outcome and disability is infrequently studied in schizophrenia. While existing evidence is limited and heterogeneous, these findings suggest that the structural and functional integrity of fronto-limbic brain regions is consistently related to functional outcome in individuals with schizophrenia. Further research is needed to understand the mechanisms and directionality of these relationships, and the potential for identifying neural targets to support functional improvement.
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Affiliation(s)
- Jessica A Wojtalik
- School of Social Work, University of Pittsburgh, Pittsburgh, PA,To whom correspondence should be addressed; School of Social Work, University of Pittsburgh, 2117 Cathedral of Learning, Pittsburgh, PA 15260, US; tel: 412-624-6304, e-mail:
| | - Matthew J Smith
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | - Shaun M Eack
- School of Social Work, University of Pittsburgh, Pittsburgh, PA,Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
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25
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Progressive cortical reorganisation: A framework for investigating structural changes in schizophrenia. Neurosci Biobehav Rev 2017; 79:1-13. [DOI: 10.1016/j.neubiorev.2017.04.028] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 04/26/2017] [Accepted: 04/26/2017] [Indexed: 12/27/2022]
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Bartholomeusz CF, Cropley VL, Wannan C, Di Biase M, McGorry PD, Pantelis C. Structural neuroimaging across early-stage psychosis: Aberrations in neurobiological trajectories and implications for the staging model. Aust N Z J Psychiatry 2017; 51:455-476. [PMID: 27733710 DOI: 10.1177/0004867416670522] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE This review critically examines the structural neuroimaging evidence in psychotic illness, with a focus on longitudinal imaging across the first-episode psychosis and ultra-high-risk of psychosis illness stages. METHODS A thorough search of the literature involving specifically longitudinal neuroimaging in early illness stages of psychosis was conducted. The evidence supporting abnormalities in brain morphology and altered neurodevelopmental trajectories is discussed in the context of a clinical staging model. RESULTS In general, grey matter (and, to a lesser extent, white matter) declines across multiple frontal, temporal (especially superior regions), insular and parietal regions during the first episode of psychosis, which has a steeper trajectory than that of age-matched healthy counterparts. Although the ultra-high-risk of psychosis literature is considerably mixed, evidence indicates that certain volumetric structural aberrations predate psychotic illness onset (e.g. prefrontal cortex thinning), while other abnormalities present in ultra-high-risk of psychosis populations are potentially non-psychosis-specific (e.g. hippocampal volume reductions). CONCLUSION We highlight the advantages of longitudinal designs, discuss the implications such studies have on clinical staging and provide directions for future research.
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Affiliation(s)
- Cali F Bartholomeusz
- 1 Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- 2 Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- 3 Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Vanessa L Cropley
- 3 Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Cassandra Wannan
- 1 Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- 2 Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- 3 Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Maria Di Biase
- 3 Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Patrick D McGorry
- 1 Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- 2 Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Christos Pantelis
- 3 Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
- 4 Centre for Neural Engineering, Department of Electrical and Electronic Engineering, The University of Melbourne, Carlton South, VIC, Australia
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Del Casale A, Kotzalidis GD, Rapinesi C, Sorice S, Girardi N, Ferracuti S, Girardi P. Functional Magnetic Resonance Imaging Correlates of First-Episode Psychoses during Attentional and Memory Task Performance. Neuropsychobiology 2017; 74:22-31. [PMID: 27698323 DOI: 10.1159/000448620] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Accepted: 07/21/2016] [Indexed: 11/19/2022]
Abstract
BACKGROUND The nature of the alteration of the response to cognitive tasks in first-episode psychosis (FEP) still awaits clarification. We used activation likelihood estimation, an increasingly used method in evaluating normal and pathological brain function, to identify activation changes in functional magnetic resonance imaging (fMRI) studies of FEP during attentional and memory tasks. METHODS We included 11 peer-reviewed fMRI studies assessing FEP patients versus healthy controls (HCs) during performance of attentional and memory tasks. RESULTS Our database comprised 290 patients with FEP, matched with 316 HCs. Between-group analyses showed that HCs, compared to FEP patients, exhibited hyperactivation of the right middle frontal gyrus (Brodmann area, BA, 9), right inferior parietal lobule (BA 40), and right insula (BA 13) during attentional task performances and hyperactivation of the left insula (BA 13) during memory task performances. CONCLUSIONS Right frontal, parietal, and insular dysfunction during attentional task performance and left insular dysfunction during memory task performance are significant neural functional FEP correlates.
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Affiliation(s)
- Antonio Del Casale
- Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), School of Medicine and Psychology, Sapienza University, Rome, Italy
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FDG-PET scans in patients with Kraepelinian and non-Kraepelinian schizophrenia. Eur Arch Psychiatry Clin Neurosci 2016; 266:481-94. [PMID: 26370275 DOI: 10.1007/s00406-015-0633-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2015] [Accepted: 08/11/2015] [Indexed: 01/01/2023]
Abstract
We recruited 14 unmedicated patients with Kraepelinian schizophrenia (12 men and 2 women; mean age = 47 years old), 27 non-Kraepelinian patients (21 men and 6 women; mean age = 36.4 years old) and a group of 56 age- and sex-matched healthy volunteers. FDG positron emission tomography and MRI scans were coregistered for both voxel-by-voxel statistical mapping and stereotaxic regions of interest analysis. While both Kraepelinian and non-Kraepelinian patients showed equally lower uptake than healthy volunteers in the frontal lobe, the temporal lobes (Brodmann areas 20 and 21) showed significantly greater decreases in Kraepelinian than in non-Kraepelinian patients. Kraepelinian patients had lower FDG uptake in parietal regions 39 and 40, especially in the right hemisphere, while non-Kraepelinian patients had similar reductions in the left. Only non-Kraepelinian patients had lower caudate FDG uptake than healthy volunteers. While both patient groups had lower uptake than healthy volunteers in the medial dorsal nucleus of the thalamus, Kraepelinian patients alone had higher uptake in the ventral nuclei of the thalamus. Kraepelinian patients also showed higher metabolic rates in white matter. Our results are consistent with other studies indicating that Kraepelinian schizophrenia is a subgroup of schizophrenia, characterized by temporal and right parietal deficits and normal rather than reduced caudate uptake. It suggests that Kraepelinian schizophrenia may be more primarily characterized by FDG uptake decreased in both the frontal and temporal lobes, while non-Kraepelinian schizophrenia may have deficits more limited to the frontal lobe. This is consistent with some neuropsychological and prognosis reports of disordered sensory information processing in Kraepelinian schizophrenia in addition to deficits in frontal lobe executive functions shared with the non-Kraepelinian subtype.
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Guo S, Palaniyappan L, Liddle PF, Feng J. Dynamic cerebral reorganization in the pathophysiology of schizophrenia: a MRI-derived cortical thickness study. Psychol Med 2016; 46:2201-2214. [PMID: 27228263 DOI: 10.1017/s0033291716000994] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND A structural neuroanatomical change indicating a reduction in brain tissue is a notable feature of schizophrenia. Several pathophysiological processes such as aberrant cortical maturation, progressive tissue loss and compensatory tissue increase could contribute to the structural changes seen in schizophrenia. METHOD We studied cortical thickness using surface-based morphometry in 98 clinically stable patients with schizophrenia and 83 controls. Using a pattern classification approach, we studied whether the features that discriminate patients from controls vary across the different stages of the illness. Using a covariance analysis, we also investigated if concurrent increases accompany decreases in cortical thickness. RESULTS Very high levels of accuracy (96.3%), specificity (98.8%) and sensitivity (88%) were noted when classifying patients with <2 years of illness from controls. Within the patient group, reduced thickness was consistently accompanied by increased thickness in distributed brain regions. A pattern of cortical amelioration or normalization (i.e. reduced deviation from controls) was noted with increasing illness duration. While temporo-limbic and fronto-parietal regions showed reduced thickness, the occipital cortex showed increased thickness, especially in those with a long-standing illness. CONCLUSION A compensatory remodelling process might contribute to the cortical thickness variations in different stages of schizophrenia. Subtle cerebral reorganization reflecting the inherent plasticity of brain may occur concomitantly with processes contributing to tissue reduction in adult patients with schizophrenia.
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Affiliation(s)
- S Guo
- Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China),College of Mathematics and Computer Science,Hunan Normal University,Changsha,People's Republic of China
| | - L Palaniyappan
- Division of Psychiatry & Applied Psychology,Centre for Translational Neuroimaging in Mental Health,Institute of Mental Health,University of Nottingham,Nottingham,UK
| | - P F Liddle
- Division of Psychiatry & Applied Psychology,Centre for Translational Neuroimaging in Mental Health,Institute of Mental Health,University of Nottingham,Nottingham,UK
| | - J Feng
- Department of Computer Science,University of Warwick,Coventry,UK
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Malchow B, Keeser D, Keller K, Hasan A, Rauchmann BS, Kimura H, Schneider-Axmann T, Dechent P, Gruber O, Ertl-Wagner B, Honer WG, Hillmer-Vogel U, Schmitt A, Wobrock T, Niklas A, Falkai P. Effects of endurance training on brain structures in chronic schizophrenia patients and healthy controls. Schizophr Res 2016; 173:182-191. [PMID: 25623601 DOI: 10.1016/j.schres.2015.01.005] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2014] [Revised: 12/19/2014] [Accepted: 01/02/2015] [Indexed: 11/19/2022]
Abstract
The objective of this longitudinal magnetic resonance (MR) imaging study was to examine the effects of endurance training on hippocampal and grey matter volumes in schizophrenia patients and healthy controls. 20 chronic schizophrenia patients and 21 age- and gender-matched healthy controls underwent 3months of endurance training (30min, 3 times per week). 19 additionally recruited schizophrenia patients played table soccer ("foosball" in the USA) over the same period. MR imaging with 3D-volumetric T1-weighted sequences was performed on a 3T MR scanner at baseline, after 6weeks and after the 3-month intervention and 3 additional training-free months. In addition to voxel-based morphometry (VBM), we performed manual and automatic delineation of the hippocampus and its substructures. Endurance capacity and psychopathological symptoms were measured as secondary endpoints. No significant increases in the volumes of the hippocampus or hippocampal substructures were observed in schizophrenia patients or healthy controls. However, VBM analyses displayed an increased volume of the left superior, middle and inferior anterior temporal gyri compared to baseline in schizophrenia patients after the endurance training, whereas patients playing table soccer showed increased volumes in the motor and anterior cingulate cortices. After the additional training-free period, the differences were no longer present. While endurance capacity improved in exercising patients and healthy controls, psychopathological symptoms did not significantly change. The subtle changes in the left temporal cortex indicate an impact of exercise on brain volumes in schizophrenia. Subsequent studies in larger cohorts are warranted to address the question of response variability of endurance training.
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Affiliation(s)
- Berend Malchow
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany; Institute of Clinical Radiology, Ludwig-Maximilian-University, Munich, Germany
| | - Katriona Keller
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany; Department of Sports Medicine, University Medical Center Goettingen, Goettingen, Germany
| | - Alkomiet Hasan
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | | | - Hiroshi Kimura
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany; Department of Psychiatry, Graduate School of Medicine, Chiba University, Chiba, Japan
| | | | - Peter Dechent
- MR Research in Neurology and Psychiatry, Department of Cognitive Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Oliver Gruber
- Centre for Translational Research in Systems Neuroscience and Clinical Psychiatry, Georg August University, Goettingen, Germany
| | - Birgit Ertl-Wagner
- Institute of Clinical Radiology, Ludwig-Maximilian-University, Munich, Germany
| | - William G Honer
- Institute of Mental Health, The University of British Columbia, Vancouver, Canada
| | - Ursula Hillmer-Vogel
- Department of Sports Medicine, University Medical Center Goettingen, Goettingen, Germany
| | - Andrea Schmitt
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany; Laboratory of Neuroscience (LIM27), Institute of Psychiatry, University of Sao Paulo, Sao Paulo, Brazil
| | - Thomas Wobrock
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany; Centre of Mental Health, County Hospitals Darmstadt-Dieburg, Groß-Umstadt, Germany
| | - Andree Niklas
- Department of Sports Medicine, University Medical Center Goettingen, Goettingen, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
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Rich AM, Cho YT, Tang Y, Savic A, Krystal JH, Wang F, Xu K, Anticevic A. Amygdala volume is reduced in early course schizophrenia. Psychiatry Res 2016; 250:50-60. [PMID: 27035063 PMCID: PMC4904038 DOI: 10.1016/j.pscychresns.2016.02.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2015] [Revised: 02/01/2016] [Accepted: 02/11/2016] [Indexed: 02/07/2023]
Abstract
Subcortical structural alterations have been implicated in the neuropathology of schizophrenia. Yet, the extent of anatomical alterations for subcortical structures across illness phases remains unknown. To assess this, magnetic resonance imaging (MRI) was used to examine volume differences of major subcortical structures: thalamus, nucleus accumbens, caudate, putamen, globus pallidus, amygdala and hippocampus. These differences were examined across four groups: (i) healthy comparison subjects (HCS, n=96); (ii) individuals at high risk (HR, n=21) for schizophrenia; (iii) early-course schizophrenia patients (EC-SCZ, n=28); and (iv) chronic schizophrenia patients (C-SCZ, n=20). Raw gray matter volumes and volumetric ratios (volume of specific structure/total gray matter volume) were extracted using automated segmentation tools. EC-SCZ group exhibited smaller bilateral amygdala volumetric ratios, compared to HCS and HR subjects. Findings did not change when corrected for age, level of education and medication use. Amygdala raw volumes did not differ among groups once adjusted for multiple comparisons, but the smaller amygdala volumetric ratio in EC-SCZ survived Bonferroni correction. Other structures were not different across the groups following Bonferroni correction. Smaller amygdala volumes during early illness course may reflect pathophysiologic changes specific to illness development, including disrupted salience processing and acute stress responses.
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Affiliation(s)
- Alyson M Rich
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA; College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA
| | - Youngsun T Cho
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital, China Medical University, Shenyang 110001, Liaoning, PR China
| | - Aleksandar Savic
- University Psychiatric Hospital Vrapce, University of Zagreb, Zagreb 10000, Croatia
| | - John H Krystal
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT 06519, USA; NIAAA Center for the Translational Neuroscience of Alcoholism, New Haven, CT 06519, USA
| | - Fei Wang
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA; Department of Radiology, The First Affiliated Hospital, China Medical University, Shenyang 110001, Liaoning, PR China
| | - Ke Xu
- Department of Radiology, The First Affiliated Hospital, China Medical University, Shenyang 110001, Liaoning, PR China.
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, USA; Department of Psychiatry, The First Affiliated Hospital, China Medical University, Shenyang 110001, Liaoning, PR China; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT 06519, USA; NIAAA Center for the Translational Neuroscience of Alcoholism, New Haven, CT 06519, USA; Department of Psychology, Yale University, 2 Hillhouse Avenue, CT 06520, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA.
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Abstract
This article reviews the results of longitudinal studies on frontal brain volume reduction in patients with schizophrenia spectrum disorders and focuses on the relationship with antipsychotic treatment. Based on a systematic literature search all studies were included in which results on changes of brain volumes over a longer period of time were correlated with antipsychotic treatment dose and disease severity. The findings indicate that there is evidence for grey and white matter volume changes of the frontal brain, which cannot be explained by the severity of the disease alone but are also very likely a manifestation of long-term effects of antipsychotics. Whether second generation antipsychotics have an advantage compared to first generation antipsychotics is currently unclear. Considering the contribution of antipsychotics to the changes in brain structure, which seem to depend on cumulative dosage and can exert adverse effects on neurocognition, negative and positive symptoms and psychosocial functioning, the guidelines for antipsychotic long-term drug treatment should be reconsidered. This is the reason why we and others recommend prescribing the lowest dose necessary to control symptoms. In non-schizophrenic psychiatric disorders, antipsychotics should be used only with great caution after a careful risk-benefit assessment. Moreover, treatment approaches which can help to minimize antipsychotic medication or even administer them only selectively are of increasing importance.
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Lee JS, Park G, Song MJ, Choi KH, Lee SH. Early visual processing for low spatial frequency fearful face is correlated with cortical volume in patients with schizophrenia. Neuropsychiatr Dis Treat 2016; 12:1-14. [PMID: 26730192 PMCID: PMC4694689 DOI: 10.2147/ndt.s97089] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Patients with schizophrenia present with dysfunction of the magnocellular pathway, which might impair their early visual processing. We explored the relationship between functional abnormality of early visual processing and brain volumetric changes in schizophrenia. Eighteen patients and 16 healthy controls underwent electroencephalographic recordings and high-resolution magnetic resonance imaging. During electroencephalographic recordings, participants passively viewed neutral or fearful faces with broad, high, or low spatial frequency characteristics. Voxel-based morphometry was performed to investigate brain volume correlates of visual processing deficits. Event related potential analysis suggested that patients with schizophrenia had relatively impaired P100 processing of low spatial frequency fearful face stimuli compared with healthy controls; patients' gray-matter volumes in the dorsolateral and medial prefrontal cortices positively correlated with this amplitude. In addition, patients' gray-matter volume in the right cuneus positively correlated with the P100 amplitude in the left hemisphere for the high spatial frequency neutral face condition and that in the left dorsolateral prefrontal cortex negatively correlated with the negative score of the Positive and Negative Syndrome Scale. No significant correlations were observed in healthy controls. This study suggests that the cuneus and prefrontal cortex are significantly involved with the early visual processing of magnocellular input in patients with schizophrenia.
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Affiliation(s)
- Jung Suk Lee
- Department of Psychiatry, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea
| | - Gewnhi Park
- Department of Psychology, Azusa Pacific University, Azusa, CA, USA
| | - Myeong Ju Song
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kee-Hong Choi
- Department of Psychology, Korea University, Seoul, Republic of Korea
| | - Seung-Hwan Lee
- Clinical Emotion and Cognition Research Laboratory, Goyang, Republic of Korea; Department of Psychiatry, Inje University, Ilsan-Paik Hospital, Goyang, Republic of Korea
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Dazzan P. Neuroimaging biomarkers to predict treatment response in schizophrenia: the end of 30 years of solitude? DIALOGUES IN CLINICAL NEUROSCIENCE 2015. [PMID: 25733954 PMCID: PMC4336919 DOI: 10.31887/dcns.2014.16.4/pdazzan] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Studies that have used structural magnetic resonance imaging (MRI) suggest that individuals with psychoses have brain alterations, particularly in frontal and temporal cortices, and in the white matter tracts that connect them. Furthermore, these studies suggest that brain alterations may be particularly prominent, already at illness onset, in those individuals more likely to have poorer outcomes (eg, higher number of hospital admissions, and poorer symptom remission, level of functioning, and response to the first treatment with antipsychotic drugs). The fact that, even when present, these brain alterations are subtle and distributed in nature, has limited, until now, the utility of MRI in the clinical management of these disorders. More recently, MRI approaches, such as machine learning, have suggested that these neuroanatomical biomarkers can be used for direct clinical benefits. For example, using support vector machine, MRI data obtained at illness onset have been used to predict, with significant accuracy, whether a specific individual is likely to experience a remission of symptoms later on in the course of the illness. Taken together, this evidence suggests that validated, strong neuroanatomical markers could be used not only to inform tailored intervention strategies in a single individual, but also to allow patient stratification in clinical trials for new treatments.
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Affiliation(s)
- Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, UK; National Institute for Health Research, Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
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Gong Q, Dazzan P, Scarpazza C, Kasai K, Hu X, Marques TR, Iwashiro N, Huang X, Murray RM, Koike S, David AS, Yamasue H, Lui S, Mechelli A. A Neuroanatomical Signature for Schizophrenia Across Different Ethnic Groups. Schizophr Bull 2015; 41:1266-75. [PMID: 26264820 PMCID: PMC4601715 DOI: 10.1093/schbul/sbv109] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Schizophrenia is a disabling clinical syndrome found across the world. While the incidence and clinical expression of this illness are strongly influenced by ethnic factors, it is unclear whether patients from different ethnicities show distinct brain deficits. In this multicentre study, we used structural Magnetic Resonance Imaging to investigate neuroanatomy in 126 patients with first episode schizophrenia who came from 4 ethnically distinct cohorts (White Caucasians, African-Caribbeans, Japanese, and Chinese). Each patient was individually matched with a healthy control of the same ethnicity, gender, and age (±1 year). We report a reduction in the gray matter volume of the right anterior insula in patients relative to controls (P < .05 corrected); this reduction was detected in all 4 ethnic groups despite differences in psychopathology, exposure to antipsychotic medication and image acquisition sequence. This finding provides evidence for a neuroanatomical signature of schizophrenia expressed above and beyond ethnic variations in incidence and clinical expression. In light of the existing literature, implicating the right anterior insula in bipolar disorder, depression, addiction, obsessive-compulsive disorder, and anxiety, we speculate that the neuroanatomical deficit reported here may represent a transdiagnostic feature of Axis I disorders.
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Affiliation(s)
- Qiyong Gong
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China;,These authors contributed equally to the article
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK;,These authors contributed equally to the article
| | - Cristina Scarpazza
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Kyioto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Xinyu Hu
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Tiago R. Marques
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Norichika Iwashiro
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Xiaoqi Huang
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Shinsuke Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan;,MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Anthony S. David
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Hidenori Yamasue
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Su Lui
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Andrea Mechelli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK;
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Palaniyappan L, Maayan N, Bergman H, Davenport C, Adams CE, Soares‐Weiser K. Voxel-based morphometry for separation of schizophrenia from other types of psychosis in first episode psychosis. Cochrane Database Syst Rev 2015; 2015:CD011021. [PMID: 26252640 PMCID: PMC7104330 DOI: 10.1002/14651858.cd011021.pub2] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
BACKGROUND Schizophrenia is a psychiatric disorder which involves distortions in thought and perception, blunted affect, and behavioural disturbances. The longer psychosis goes unnoticed and untreated, the more severe the repercussions for relapse and recovery. There is some evidence that early intervention services can help, and diagnostic techniques that could contribute to early intervention may offer clinical utility in these situations. The index test being evaluated in this review is the structural magnetic resonance imaging (MRI) analysis technique known as voxel-based morphometry (VBM) that estimates the distribution of grey matter tissue volume across several brain regions. This review is an exploratory examination of the diagnostic 'potential' of VBM for use as an additional tool in the clinical examination of patients with first episode psychosis to establish whether an individual will progress on to developing schizophrenia as opposed to other types of psychosis. OBJECTIVES To determine whether VBM applied to the brain can be used to differentiate schizophrenia from other types of psychosis in participants who have received a clinical diagnosis of first episode psychosis. SEARCH METHODS In December 2013, we updated a previous search (May 2012) of MEDLINE, EMBASE, and PsycInfo using OvidSP. SELECTION CRITERIA We included retrospective and prospective studies that consecutively or randomly selected adolescent and adult participants (< 45 years) with a first episode of psychosis; and that evaluated the diagnostic accuracy of VBM for differentiating schizophrenia from other psychoses compared with a clinical diagnosis made by a qualified mental health professional, with or without the use of standard operational criteria or symptom checklists. We excluded studies in children, and in adult participants with organic brain disorders or who were at high risk for schizophrenia, such as people with a genetic predisposition. DATA COLLECTION AND ANALYSIS Two review authors screened all references for inclusion. We assessed the quality of studies using the QUADAS-2 instrument. Due to a lack of data, we were not able to extract 2 x 2 data tables for each study nor undertake any meta-analysis. MAIN RESULTS We included four studies with a total of 275 participants with first episode psychosis. VBM was not used to diagnose schizophrenia in any of the studies, instead VBM was used to quantify the magnitude of differences in grey matter volume. Therefore, none of the included studies reported data that could be used in the analysis, and we summarised the findings narratively for each study. AUTHORS' CONCLUSIONS There is no evidence to currently support diagnosing schizophrenia (as opposed to other psychotic disorders) using the pattern of brain changes seen in VBM studies in patients with first episode psychosis. VBM has the potential to discriminate between diagnostic categories but the methods to do this reliably are currently in evolution. In addition, the lack of applicability of the use of VBM to clinical practice in the studies to date limits the usefulness of VBM as a diagnostic aid to differentiate schizophrenia from other types of psychotic presentations in people with first episode of psychosis.
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Affiliation(s)
- Lena Palaniyappan
- The University of NottinghamDivison of Psychiatry, Institute of Mental HealthRoom 09, C FloorInnovation Park, Triumph RoadNottinghamUKNG7 2TU
| | - Nicola Maayan
- Enhance Reviews LtdCentral Office, Cobweb BuildingsThe Lane, LyfordWantageUKOX12 0EE
| | - Hanna Bergman
- Enhance Reviews LtdCentral Office, Cobweb BuildingsThe Lane, LyfordWantageUKOX12 0EE
| | - Clare Davenport
- University of BirminghamPublic Health, Epidemiology and BiostatisticsBirminghamUKB15 2TT
| | - Clive E Adams
- The University of NottinghamCochrane Schizophrenia GroupInstitute of Mental HealthInnovation Park, Triumph Road,NottinghamUKNG7 2TU
| | - Karla Soares‐Weiser
- Enhance Reviews LtdCentral Office, Cobweb BuildingsThe Lane, LyfordWantageUKOX12 0EE
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37
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Malchow B, Hasan A, Meyer K, Schneider-Axmann T, Radenbach KE, Gruber O, Reith W, McIntosh AM, Schmitt A, Falkai P, Wobrock T. Family load impacts orbitofrontal volume in first-episode schizophrenia. Psychiatry Res 2015; 232:130-3. [PMID: 25800218 DOI: 10.1016/j.pscychresns.2015.02.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2014] [Revised: 11/24/2014] [Accepted: 02/18/2015] [Indexed: 11/19/2022]
Abstract
In schizophrenia, reduced orbitofrontal cortex (OFC) volume is inconsistently reported. To investigate the impact of genetic load on OFC volume, manual MRI-tracing in 23 first-episode schizophrenia patients (FE-SZ) and 23 controls was performed. FE-SZ with genetic load showed a decrease in OFC volume compared to FE-SZ without load and controls.
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Affiliation(s)
- Berend Malchow
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Nußbaumstraße 7, 80336 Munich, Germany.
| | - Alkomiet Hasan
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Nußbaumstraße 7, 80336 Munich, Germany
| | - Kristina Meyer
- Department of Psychiatry and Psychotherapy, Georg-August-University Goettingen, von-Siebold-Straße 5, 37075 Göttingen, Germany
| | - Thomas Schneider-Axmann
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Nußbaumstraße 7, 80336 Munich, Germany
| | - Katrin E Radenbach
- Department of Psychiatry and Psychotherapy, Georg-August-University Goettingen, von-Siebold-Straße 5, 37075 Göttingen, Germany
| | - Oliver Gruber
- Department of Psychiatry and Psychotherapy, Georg-August-University Goettingen, von-Siebold-Straße 5, 37075 Göttingen, Germany
| | - Wolfgang Reith
- Department of Neuroradiology, Saarland University Hospital, Kirrberger Straße, 66421 Homburg, Germany
| | - Andrew M McIntosh
- Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom
| | - Andrea Schmitt
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Nußbaumstraße 7, 80336 Munich, Germany; Laboratory of Neuroscience (LIM27), Institute of Psychiatry, University of Sao Paulo, Rua Dr. Ovidio Pires de Campos 785, 05453-010 São Paulo, SP, Brazil
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Nußbaumstraße 7, 80336 Munich, Germany
| | - Thomas Wobrock
- Department of Psychiatry and Psychotherapy, Georg-August-University Goettingen, von-Siebold-Straße 5, 37075 Göttingen, Germany; Centre of Mental Health, County Hospitals Darmstadt-Dieburg, Krankenhausstraße 7, 64823 Groß-Umstadt, Germany
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38
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Frascarelli M, Tognin S, Mirigliani A, Parente F, Buzzanca A, Torti MC, Tinelli E, Caramia F, Di Fabio F, Biondi M, Fusar-Poli P. Medial frontal gyrus alterations in schizophrenia: relationship with duration of illness and executive dysfunction. Psychiatry Res 2015; 231:103-10. [PMID: 25498920 DOI: 10.1016/j.pscychresns.2014.10.017] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2013] [Revised: 09/28/2014] [Accepted: 10/23/2014] [Indexed: 12/12/2022]
Abstract
Executive functioning is consistently impaired in schizophrenia, and it has been associated with reduced gray matter volume in prefrontal areas. Abnormalities in prefrontal brain regions have also been related to the illness duration. The aim of the study was to investigate the effect of executive functioning decline and chronicity in prefrontal regions of patients with schizophrenia. Participants comprised 33 schizophrenic patients, 18 with duration of illness (DoI) shorter than 10 years and 15 with duration of illness longer than 10 years. In addition, 24 healthy controls served as a comparison group. Participants performed the Wisconsin Card Sorting Test (WCST) and underwent structural magnetic resonance imaging. Patients with longer DoI showed significant reduction of gray matter volume in the left medial frontal gyrus compared with healthy controls. Moreover, there was a trend for greater gray matter volume decrease in patients with a longer illness duration compared with patients with shorter illness duration. There was no interaction between the volume of the left medial frontal gyrus performance on the WCST. The present study supports the hypothesis that medial frontal gyrus alterations in schizophrenia are sensitive to duration of illness. These alterations were not associated with executive functioning.
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Affiliation(s)
- Marianna Frascarelli
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy; Department of Psychosis Studies, Institute of Psychiatry, King׳s College London, UK
| | - Stefania Tognin
- Department of Psychosis Studies, Institute of Psychiatry, King׳s College London, UK
| | - Alessia Mirigliani
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy.
| | | | - Antonino Buzzanca
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy; Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Maria Chiara Torti
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Emanuele Tinelli
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Francesca Caramia
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Fabio Di Fabio
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Massimo Biondi
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, King׳s College London, UK
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39
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Fung G, Cheung C, Chen E, Lam C, Chiu C, Law CW, Leung MK, Deng M, Cheung V, Qi L, Nailin Y, Tai KS, Yip L, Suckling J, Sham P, McAlonan G, Chua SE. MRI predicts remission at 1 year in first-episode schizophrenia in females with larger striato-thalamic volumes. Neuropsychobiology 2015; 69:243-8. [PMID: 24993979 DOI: 10.1159/000358837] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2012] [Accepted: 01/20/2014] [Indexed: 11/19/2022]
Abstract
BACKGROUND/AIMS The Remission in Schizophrenia Working Group has defined remission as 'a low-mild symptom intensity level, maintained for a minimum of 6 months, where such symptoms do not affect an individual's behaviour' [Andreasen et al.: Am J Psychiatry 2005;162:441-449]. Since brain morphology relates to symptomatology, treatment and illness progression, MRI may assist in predicting remission. METHODS Thirty-nine patients newly diagnosed with DSM-IV schizophrenia underwent MRI brain scan prior to antipsychotic exposure. The Global Assessment of Functioning (GAF) score was entered into a voxel-based analysis to evaluate its relationship with cerebral grey matter volume from the baseline MRI. We entered age, total intracranial volume and intake GAF score as co-variates. Males and females were analysed separately because gender is a potent determinant of outcome. RESULTS Males had lower GAF scores than females, both at intake and at 1 year. Males comprised only 40% (12 out of 39) of the early remission group. For females only, early remission was strongly and positively correlated with bilateral lentiform and striatal volumes. For males, there was no such relationship. CONCLUSION Larger striato-thalamic volume correlated with early remission in females only. These baseline MRI findings were unlikely to be confounded by antipsychotic treatment and chronicity. These brain morphological markers show gender dimorphism and may assist in the prediction of early remission in newly diagnosed schizophrenia.
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Affiliation(s)
- Germaine Fung
- Department of Psychiatry, Queen Mary Hospital, University of Hong Kong, Hong Kong, SAR, China
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40
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Chaves C, Marque CR, Maia-de-Oliveira JP, Wichert-Ana L, Ferrari TB, Santos AC, Araújo D, Machado-de-Sousa JP, Bressan RA, Elkis H, Crippa JA, Guimarães FS, Zuardi AW, Baker GB, Dursun SM, Hallak JEC. Effects of minocycline add-on treatment on brain morphometry and cerebral perfusion in recent-onset schizophrenia. Schizophr Res 2015; 161:439-45. [PMID: 25497439 DOI: 10.1016/j.schres.2014.11.031] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Revised: 11/14/2014] [Accepted: 11/20/2014] [Indexed: 10/24/2022]
Abstract
Increasing evidence suggests that the tetracycline antibiotic minocycline has neuroprotective effects and is a potential treatment for schizophrenia. However, the mechanisms of action of minocycline in the CNS remain elusive. The aim of this study was to investigate the effects of minocycline on brain morphology and cerebral perfusion in patients with recent-onset schizophrenia after 12months of a randomized double-blind, placebo-controlled clinical trial of minocycline add-on treatment. This study included 24 outpatients with recent-onset schizophrenia randomized for 12months of adjuvant treatment with minocycline (200mg/d) or placebo. MRI (1.5T) and [(99m)Tc]-ECD SPECT brain scans were performed at the end of the 12-month of trial. Between-condition comparisons of SPECT and MRI brain images were performed using statistical parametric mapping and analyzed by voxel-based morphometry (VBM). Minocycline adjuvant treatment significantly reduced positive and negative symptoms when compared with placebo. The VBM analysis of MRI scans showed that the patients in the placebo group had significant lower gray matter volumes in the midposterior cingulate cortex and in the precentral gyrus in comparison with the patients in the minocycline group. In addition, a decreased ECD uptake in the minocycline condition was observed in fronto-temporal areas. These results suggest that minocycline may protect against gray matter loss and modulate fronto-temporal areas involved in the pathophysiology of schizophrenia. Furthermore, minocycline add-on treatment may be a potential treatment in the early stages of schizophrenia and may ameliorate clinical deterioration and brain alterations observed in this period.
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Affiliation(s)
- Cristiano Chaves
- Department of Neuroscience and Behavior, Division of Psychiatry, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Science and Technology Institute for Translational Medicine (INCT-TM), Brazil.
| | - Cristiane R Marque
- Department of Neuroscience and Behavior, Division of Psychiatry, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Science and Technology Institute for Translational Medicine (INCT-TM), Brazil
| | - João P Maia-de-Oliveira
- Department of Neuroscience and Behavior, Division of Psychiatry, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Science and Technology Institute for Translational Medicine (INCT-TM), Brazil; Department of Clinical Medicine, Federal University of Rio Grande do Norte, Brazil
| | - Lauro Wichert-Ana
- Department of Neuroscience and Behavior, Division of Psychiatry, Ribeirão Preto Medical School, University of São Paulo, Brazil; Department of Internal Medicine, Division of Nuclear Medicine, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - Thiago B Ferrari
- Department of Neuroscience and Behavior, Division of Psychiatry, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Science and Technology Institute for Translational Medicine (INCT-TM), Brazil
| | - Antonio C Santos
- Department of Neuroscience and Behavior, Division of Psychiatry, Ribeirão Preto Medical School, University of São Paulo, Brazil; Department of Internal Medicine, Division of Radiology, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - David Araújo
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Canada
| | - João P Machado-de-Sousa
- Department of Neuroscience and Behavior, Division of Psychiatry, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Science and Technology Institute for Translational Medicine (INCT-TM), Brazil
| | - Rodrigo A Bressan
- Interdisciplinary Laboratory of Clinical Neurosciences (LINC), Department of Psychiatry, Federal University of São Paulo, Brazil
| | - Helio Elkis
- Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Brazil
| | - José A Crippa
- Department of Neuroscience and Behavior, Division of Psychiatry, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Science and Technology Institute for Translational Medicine (INCT-TM), Brazil
| | - Francisco S Guimarães
- Department of Neuroscience and Behavior, Division of Psychiatry, Ribeirão Preto Medical School, University of São Paulo, Brazil; Department of Pharmacology, Ribeirão Preto Medical School, University of São Paulo, Brazil
| | - Antônio W Zuardi
- Department of Neuroscience and Behavior, Division of Psychiatry, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Science and Technology Institute for Translational Medicine (INCT-TM), Brazil
| | - Glen B Baker
- National Science and Technology Institute for Translational Medicine (INCT-TM), Brazil; Neurochemical Research Unit, Department of Psychiatry, University of Alberta, Canada
| | - Serdar M Dursun
- National Science and Technology Institute for Translational Medicine (INCT-TM), Brazil; Neurochemical Research Unit, Department of Psychiatry, University of Alberta, Canada
| | - Jaime E C Hallak
- Department of Neuroscience and Behavior, Division of Psychiatry, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Science and Technology Institute for Translational Medicine (INCT-TM), Brazil
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41
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Li ML, Xiang B, Li YF, Hu X, Wang Q, Guo WJ, Lei W, Huang CH, Zhao LS, Li N, Ren HY, Wang HY, Ma XH, Deng W, Li T. Morphological changes in gray matter volume correlate with catechol-O-methyl transferase gene Val158Met polymorphism in first-episode treatment-naïve patients with schizophrenia. Neurosci Bull 2015; 31:31-42. [PMID: 25564193 DOI: 10.1007/s12264-014-1491-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Accepted: 11/20/2014] [Indexed: 11/28/2022] Open
Abstract
The catechol-O-methyltransferase (COMT) gene is a schizophrenia susceptibility gene. A common functional polymorphism of this gene, Val158/158Met, has been proposed to influence gray matter volume (GMV). However, the effects of this polymorphism on cortical thickness/surface area in schizophrenic patients are less clear. In this study, we explored the relationship between the Val158Met polymorphism of the COMT gene and the GMV/cortical thickness/cortical surface area in 150 first-episode treatment-naïve patients with schizophrenia and 100 healthy controls. Main effects of diagnosis were found for GMV in the cerebellum and the visual, medial temporal, parietal, and middle frontal cortex. Patients with schizophrenia showed reduced GMVs in these regions. And main effects of genotype were detected for GMV in the left superior frontal gyrus. Moreover, a diagnosis × genotype interaction was found for the GMV of the left precuneus, and the effect of the COMT gene on GMV was due mainly to cortical thickness rather than cortical surface area. In addition, a pattern of increased GMV in the precuneus with increasing Met dose found in healthy controls was lost in patients with schizophrenia. These findings suggest that the COMTMet variant is associated with the disruption of dopaminergic influence on gray matter in schizophrenia, and the effect of the COMT gene on GMV in schizophrenia is mainly due to changes in cortical thickness rather than in cortical surface area.
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Affiliation(s)
- Ming-Li Li
- The Mental Health Center and the Psychiatric Laboratory, Sichuan University, Chengdu, 610041, China
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42
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Wang Z, Meda SA, Keshavan MS, Tamminga CA, Sweeney JA, Clementz BA, Schretlen DJ, Calhoun VD, Lui S, Pearlson GD. Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort. Front Psychiatry 2015; 6:174. [PMID: 26732139 PMCID: PMC4685049 DOI: 10.3389/fpsyt.2015.00174] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 11/27/2015] [Indexed: 02/05/2023] Open
Abstract
To investigate whether aberrant interactions between brain structure and function present similarly or differently across probands with psychotic illnesses [schizophrenia (SZ), schizoaffective disorder (SAD), and bipolar I disorder with psychosis (BP)] and whether these deficits are shared with their first-degree non-psychotic relatives. A total of 1199 subjects were assessed, including 220 SZ, 147 SAD, 180 psychotic BP, 150 first-degree relatives of SZ, 126 SAD relatives, 134 BP relatives, and 242 healthy controls (1). All subjects underwent structural MRI (sMRI) and resting-state functional MRI (rs-fMRI) scanning. Joint-independent component analysis (jICA) was used to fuse sMRI gray matter and rs-fMRI amplitude of low-frequency fluctuations data to identify the relationship between the two modalities. jICA revealed two significantly fused components. The association between functional brain alteration in a prefrontal-striatal-thalamic-cerebellar network and structural abnormalities in the default mode network was found to be common across psychotic diagnoses and correlated with cognitive function, social function, and schizo-bipolar scale scores. The fused alteration in the temporal lobe was unique to SZ and SAD. The above effects were not seen in any relative group (including those with cluster-A personality). Using a multivariate-fused approach involving two widely used imaging markers, we demonstrate both shared and distinct biological traits across the psychosis spectrum. Furthermore, our results suggest that the above traits are psychosis biomarkers rather than endophenotypes.
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Affiliation(s)
- Zheng Wang
- Mental Health Institute of the Second Xiangya Hospital, Central South University , Changsha , China
| | - Shashwath A Meda
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital , Hartford, CT , USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School , Boston, MA , USA
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center , Dallas, TX , USA
| | - John A Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center , Dallas, TX , USA
| | - Brett A Clementz
- Department of Psychology, University of Georgia , Athens, GA , USA
| | - David J Schretlen
- Department of Psychiatry, Johns Hopkins University , Baltimore, MD , USA
| | - Vince D Calhoun
- Department of Psychiatry, Johns Hopkins University, Baltimore, MD, USA; The Mind Research Network, Albuquerque, NM, USA; Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Su Lui
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University , Chengdu , China
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA
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43
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Tang LR, Liu CH, Jing B, Ma X, Li HY, Zhang Y, Li F, Wang YP, Yang Z, Wang CY. Voxel-based morphometry study of the insular cortex in bipolar depression. Psychiatry Res 2014; 224:89-95. [PMID: 25218414 DOI: 10.1016/j.pscychresns.2014.08.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Revised: 03/11/2014] [Accepted: 08/08/2014] [Indexed: 11/30/2022]
Abstract
Bipolar depression (BD) is a common psychiatric illness characterized by deficits in emotional and cognitive processing. Abnormalities in the subregions of the insula are common findings in neuroanatomical studies of patients with bipolar disorder. However, the specific relationships between morphometric changes in specific insular subregions and the pathogenesis of BD are not clear. In this study, structural magnetic resonance imaging (MRI) was used to investigate gray matter volume abnormalities in the insular subregion in 27 patients with BD and in 27 age and sex-matched controls. Using DARTEL (diffeomorphic anatomical registration through exponentiated lie algebra) for voxel-based morphometry (VBM), we examined changes in regional gray matter volumes of the insula in patients with BD. As compared with healthy controls, the BD patients showed decreased gray matter volumes in the right posterior insula and left ventral anterior insula and increased gray matter volumes in the left dorsal anterior insula. Consistent with the emerging theory of insular interference as a contributor to emotional-cognitive dysregulation, the current findings suggest that the insular cortex may be involved in the neural substrates of BD.
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Affiliation(s)
- Li-Rong Tang
- Center of the Treatment in Depressive Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Department of Radiology, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Chun-Hong Liu
- Department of Radiology, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Beijing Key Laboratory of Mental Disorders, Department of Psychiatry, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing 100088, China
| | - Bin Jing
- School of Biomedical Engineering, Capital Medical University, Beijing 100069, China
| | - Xin Ma
- Center of the Treatment in Depressive Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Beijing Key Laboratory of Mental Disorders, Department of Psychiatry, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing 100088, China.
| | - Hai-Yun Li
- School of Biomedical Engineering, Capital Medical University, Beijing 100069, China
| | - Yu Zhang
- Department of Radiology, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Feng Li
- Center of the Treatment in Depressive Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Center of Schizophrenia, Beijing Institute for Brain Disorders, Laboratory of Brain Disorders, Capital Medical University, Ministry of Science and Technology, Beijing 100088, China
| | - Yu-Ping Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Beijing Key Laboratory of Neuromodulation, Capital Medical University, Beijing 100053, China
| | - Zhi Yang
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Chuan-Yue Wang
- Beijing Key Laboratory of Mental Disorders, Department of Psychiatry, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing 100088, China; Center of Schizophrenia, Beijing Institute for Brain Disorders, Laboratory of Brain Disorders, Capital Medical University, Ministry of Science and Technology, Beijing 100088, China
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Abstract
The etiopathogenesis of schizophrenia is poorly understood. Within the proposed "neurodegeneration paradigm", observations have been put forth for "accelerated aging" in this disorder. This proposition is largely based on the neuroscience research that demonstrates progressive changes in brain as well as other systemic abnormalities supportive of faster aging process in patients with this disorder. In this review, we have summarized the literature related to the concept of early aging in schizophrenia. These studies include P300 abnormalities & visual motion discrimination, neuroimaging findings, telomere dynamics as well as neuropathology of related brain regions. We also propose a role of vitamin D, neuroimmunological changes and elevated oxidative stress as well as mitochondrial dysfunction in addition to the above factors with 'vitamin-D deficiency' as the central paradox. Put together, the evidence supporting early aging in schizophrenia is compelling and this requires further systematic studies.
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45
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Takahashi T, Nakamura Y, Nakamura Y, Aleksic B, Takayanagi Y, Furuichi A, Kido M, Nakamura M, Sasabayashi D, Ikeda M, Noguchi K, Kaibuchi K, Iwata N, Ozaki N, Suzuki M. The polymorphism of YWHAE, a gene encoding 14-3-3epsilon, and orbitofrontal sulcogyral pattern in patients with schizophrenia and healthy subjects. Prog Neuropsychopharmacol Biol Psychiatry 2014; 51:166-71. [PMID: 24561237 DOI: 10.1016/j.pnpbp.2014.02.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Revised: 02/05/2014] [Accepted: 02/14/2014] [Indexed: 11/30/2022]
Abstract
An altered sulcogyral pattern in the orbitofrontal cortex (OFC) has been implicated in schizophrenia as a possible marker of abnormal neurodevelopment, while its genetic mechanism remains unknown. This magnetic resonance imaging study investigated the relationship between the polymorphism of YWHAE (rs28365859), a gene encoding 14-3-3epsilon that is a Disrupted-in-Schizophrenia 1 (DISC1)-interacting molecule associated with neuronal development, and the OFC subtypes of the 'H-shaped' sulcus (Types I, II, and III) in a Japanese sample of 72 schizophrenia patients and 86 healthy controls. The schizophrenia patients had significantly increased Type III (p = 0.004) and decreased Type I (p = 0.013) expression on the right hemisphere compared to the controls. The subjects carrying the protective C allele showed a decrease in Type III (p = 0.005) and an increase in Type I (p = 0.017) compared to the G allele homozygotes, especially for the healthy subjects in the left hemisphere. These results suggest a possible role for the YWHAE genotype in the early development of the OFC sulcogyral pattern, but its effect alone is not likely to explain the altered sulcogyral pattern in schizophrenia.
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Affiliation(s)
- Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan; Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan.
| | - Yumiko Nakamura
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Yukako Nakamura
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Branko Aleksic
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Masashi Ikeda
- Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan; Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Kozo Kaibuchi
- Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan; Department of Cell Pharmacology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Nakao Iwata
- Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan; Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Norio Ozaki
- Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan; Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan; Department of Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan
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46
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Khan A, Lindenmayer JP, Opler M, Kelley ME, White L, Compton M, Gao Z, Harvey PD. The evolution of illness phases in schizophrenia: A non-parametric item response analysis of the Positive and Negative Syndrome Scale. Schizophr Res Cogn 2014. [DOI: 10.1016/j.scog.2014.01.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Fusar-Poli P, Smieskova R, Serafini G, Politi P, Borgwardt S. Neuroanatomical markers of genetic liability to psychosis and first episode psychosis: a voxelwise meta-analytical comparison. World J Biol Psychiatry 2014; 15:219-28. [PMID: 22283467 DOI: 10.3109/15622975.2011.630408] [Citation(s) in RCA: 72] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
OBJECTIVES To address at a meta-analytical level the neuroanatomical markers of genetic liability to psychosis and a of first episode of psychosis. METHODS Fifteen voxel-based morphometry (VBM) studies of antipsychotic-naive subjects at genetic high-risk (HR) for psychosis or with a first-episode psychosis (FEP) were included in a Signed Differential Mapping (SDM) meta-analysis. Publication bias was assessed with funnel plots and Egger's intercept. Heterogeneity was assessed with Q statistics and I (2) index. RESULTS The database comprised 458 HR and 206 antipsychotic-naïve FEP subjects, matched with controls. Gray matter (GM) reductions as compared to controls, were observed in the left parahippocampal gyrus and in the bilateral anterior cingulate gyrus in the HR group, and in the right superior temporal gyrus, in the left insula and in the left cerebellum in the FEP group. Further GM decreases were observed in the FEP group as compared to the HR group in the left anterior cingulate, in the right precuneus, in the left cerebellum and in the right superior temporal gyrus. Limitations. The cross-sectional nature of the included studies prevented the comparison of high risk subjects who later did or did not develop a psychotic episode. Other caveats are based on the methodological heterogeneity across individual imaging studies. CONCLUSIONS GM reductions in the anterior cingulate are markers of genetic liability to psychosis while reductions in the superior temporal gyrus and cerebellum can be interpreted as markers of a first onset of the illness.
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Affiliation(s)
- P Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
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Takahashi T, Wood SJ, Yung AR, Nelson B, Lin A, Yücel M, Phillips LJ, Nakamura Y, Suzuki M, Brewer WJ, Proffitt TM, McGorry PD, Velakoulis D, Pantelis C. Altered depth of the olfactory sulcus in ultra high-risk individuals and patients with psychotic disorders. Schizophr Res 2014; 153:18-24. [PMID: 24530137 DOI: 10.1016/j.schres.2014.01.041] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2013] [Revised: 01/10/2014] [Accepted: 01/27/2014] [Indexed: 11/17/2022]
Abstract
A shallow olfactory sulcus has been reported in schizophrenia, possibly reflecting abnormal forebrain development during early gestation. However, it remains unclear whether this anomaly exists prior to the onset of psychosis and/or differs according to illness stage. In the current study, magnetic resonance imaging was used to investigate the length and depth of the olfactory sulcus in 135 ultra high-risk (UHR) individuals [of whom 52 later developed psychosis (UHR-P) and 83 did not (UHR-NP)], 162 patients with first-episode psychosis (FEP), 89 patients with chronic schizophrenia, and 87 healthy controls. While there was no group difference in the length of the sulcus, UHR-P subjects had significantly shallower olfactory sulcus at baseline as compared with UHR-NP and control subjects. The depth of this sulcus became increasingly more superficial as one moved from UHR-P subjects to FEP patients to chronic schizophrenia patients. Finally, the depth of the olfactory sulcus in the UHR-P subjects was negatively correlated with the severity of negative symptoms. These findings suggest that the altered depth of the olfactory sulcus, which exists before psychosis onset, could be predictive of transition to psychosis, but also suggest ongoing changes of the sulcus morphology during the course of the illness.
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Affiliation(s)
| | - Stephen J Wood
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria, Australia; School of Psychology, University of Birmingham, Birmingham, UK
| | - Alison R Yung
- Orygen Youth Health Research Centre, Centre for Youth Mental Health, University of Melbourne, Victoria, Australia; Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - Barnaby Nelson
- Orygen Youth Health Research Centre, Centre for Youth Mental Health, University of Melbourne, Victoria, Australia
| | - Ashleigh Lin
- School of Psychology, University of Birmingham, Birmingham, UK
| | - Murat Yücel
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria, Australia; Monash Clinical and Imaging Neuroscience (MCIN) Laboratory, School of Psychological Sciences, Monash University, Victoria, Australia
| | - Lisa J Phillips
- Department of Psychology, University of Melbourne, Victoria, Australia
| | - Yumiko Nakamura
- Department of Neuropsychiatry, University of Toyama, Toyama, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama, Toyama, Japan
| | - Warrick J Brewer
- Orygen Youth Health Research Centre, Centre for Youth Mental Health, University of Melbourne, Victoria, Australia
| | - Tina M Proffitt
- Orygen Youth Health Research Centre, Centre for Youth Mental Health, University of Melbourne, Victoria, Australia
| | - Patrick D McGorry
- Orygen Youth Health Research Centre, Centre for Youth Mental Health, University of Melbourne, Victoria, Australia
| | - Dennis Velakoulis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria, Australia
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Ellegood J, Markx S, Lerch J, Steadman P, Genç C, Provenzano F, Kushner S, Henkelman R, Karayiorgou M, Gogos J. Neuroanatomical phenotypes in a mouse model of the 22q11.2 microdeletion. Mol Psychiatry 2014; 19:99-107. [PMID: 23999526 PMCID: PMC3872255 DOI: 10.1038/mp.2013.112] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2013] [Revised: 07/21/2013] [Accepted: 07/22/2013] [Indexed: 12/21/2022]
Abstract
Recurrent deletions at the 22q11.2 locus have been established as a strong genetic risk factor for the development of schizophrenia and cognitive dysfunction. Individuals with 22q11.2 deletions have a range of well-defined volumetric abnormalities in a number of critical brain structures. A mouse model of the 22q11.2 deletion (Df(16)A(+/-)) has previously been utilized to characterize disease-associated abnormalities on synaptic, cellular, neurocircuitry, and behavioral levels. We performed a high-resolution MRI analysis of mutant mice compared with wild-type littermates. Our analysis revealed a striking similarity in the specific volumetric changes of Df(16)A(+/-) mice compared with human 22q11.2 deletion carriers, including in cortico-cerebellar, cortico-striatal and cortico-limbic circuits. In addition, higher resolution magnetic resonance imaging compared with neuroimaging in human subjects allowed the detection of previously unknown subtle local differences. The cerebellar findings in Df(16)A(+/-) mice are particularly instructive as they are localized to specific areas within both the deep cerebellar nuclei and the cerebellar cortex. Our study indicates that the Df(16)A(+/-)mouse model recapitulates most of the hallmark neuroanatomical changes observed in 22q11.2 deletion carriers. Our findings will help guide the design and interpretation of additional complementary studies and thereby advance our understanding of the abnormal brain development underlying the emergence of 22q11.2 deletion-associated psychiatric and cognitive symptoms.
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Affiliation(s)
- J. Ellegood
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada
| | - S. Markx
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - J.P. Lerch
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada
,Department of Medical Biophysics, University of Toronto, Toronto, Ontario Canada
| | - P.E. Steadman
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada
,Department of Medical Biophysics, University of Toronto, Toronto, Ontario Canada
| | - C. Genç
- Department of Psychiatry, Erasmus Medical Center, The Netherlands
| | - F Provenzano
- Department of Department of Biomedical Engineering, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - S.A. Kushner
- Department of Psychiatry, Erasmus Medical Center, The Netherlands
| | - R.M. Henkelman
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada
,Department of Medical Biophysics, University of Toronto, Toronto, Ontario Canada
| | - M. Karayiorgou
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - J.A. Gogos
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, USA
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