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Blokland G, Maleki N, Jovicich J, Mesholam-Gately R, DeLisi L, Turner J, Shenton M, Voineskos A, Kahn R, Roffman J, Holt D, Ehrlich S, Kikinis Z, Dazzan P, Murray R, Lee J, Sim K, Lam M, de Zwarte S, Walton E, Kelly S, Picchioni M, Bramon E, Makris N, David A, Mondelli V, Reinders A, Oykhman E, Morris D, Gill M, Corvin A, Cahn W, Ho N, Liu J, Gollub R, Manoach D, Calhoun V, Sponheim S, Buka S, Cherkerzian S, Thermenos H, Dickie E, Ciufolini S, Reis Marques T, Crossley N, Purcell S, Smoller J, van Haren N, Toulopoulou T, Donohoe G, Goldstein J, Keshavan M, Petryshen T, del Re E. MIR137 polygenic risk for schizophrenia and ephrin-regulated pathway: Role in lateral ventricles and corpus callosum volume. Int J Clin Health Psychol 2024; 24:100458. [PMID: 38623146 PMCID: PMC11017057 DOI: 10.1016/j.ijchp.2024.100458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/02/2024] [Indexed: 04/17/2024] Open
Abstract
Background/Objective. Enlarged lateral ventricle (LV) volume and decreased volume in the corpus callosum (CC) are hallmarks of schizophrenia (SZ). We previously showed an inverse correlation between LV and CC volumes in SZ, with global functioning decreasing with increased LV volume. This study investigates the relationship between LV volume, CC abnormalities, and the microRNA MIR137 and its regulated genes in SZ, because of MIR137's essential role in neurodevelopment. Methods. Participants were 1224 SZ probands and 1466 unaffected controls from the GENUS Consortium. Brain MRI scans, genotype, and clinical data were harmonized across cohorts and employed in the analyses. Results. Increased LV volumes and decreased CC central, mid-anterior, and mid-posterior volumes were observed in SZ probands. The MIR137-regulated ephrin pathway was significantly associated with CC:LV ratio, explaining a significant proportion (3.42 %) of CC:LV variance, and more than for LV and CC separately. Other pathways explained variance in either CC or LV, but not both. CC:LV ratio was also positively correlated with Global Assessment of Functioning, supporting previous subsample findings. SNP-based heritability estimates were higher for CC central:LV ratio (0.79) compared to CC or LV separately. Discussion. Our results indicate that the CC:LV ratio is highly heritable, influenced in part by variation in the MIR137-regulated ephrin pathway. Findings suggest that the CC:LV ratio may be a risk indicator in SZ that correlates with global functioning.
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Affiliation(s)
- G.A.M. Blokland
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health, Medicine, and Life Sciences, Maastricht University, Netherlands
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - N. Maleki
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - J. Jovicich
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy
| | - R.I. Mesholam-Gately
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, MA, United States
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - L.E. DeLisi
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Cambridge Health Alliance, Cambridge, MA, United States
| | - J.A. Turner
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, United States
| | - M.E. Shenton
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Veterans Affairs Boston Healthcare System, Brockton, MA, United States
| | - A.N. Voineskos
- Kimel Family Translational Imaging Genetics Laboratory, Department of Psychiatry, Research Imaging Centre, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry and Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - R.S. Kahn
- Brain Centre Rudolf Magnus, Department of Psychiatry, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - J.L. Roffman
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - D.J. Holt
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - S. Ehrlich
- Division of Psychological & Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Z. Kikinis
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States
| | - P. Dazzan
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - R.M. Murray
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - J. Lee
- Institute of Mental Health, Woodbridge Hospital, Singapore
| | - K. Sim
- Institute of Mental Health, Woodbridge Hospital, Singapore
| | - M. Lam
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Institute of Mental Health, Woodbridge Hospital, Singapore
- Analytical & Translational Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
| | - S.M.C. de Zwarte
- Brain Centre Rudolf Magnus, Department of Psychiatry, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - E. Walton
- Department of Psychology, University of Bath, Bath, United Kingdom
| | - S. Kelly
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
- Laboratory of NeuroImaging, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - M.M. Picchioni
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - E. Bramon
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
- Mental Health Neuroscience Research Department, UCL Division of Psychiatry, University College London, United Kingdom
| | - N. Makris
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
- Department of Neurology, Harvard Medical School, Boston, MA, United States
| | - A.S. David
- Division of Psychiatry, University College London, London, United Kingdom
| | - V. Mondelli
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - A.A.T.S. Reinders
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - E. Oykhman
- Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - D.W. Morris
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and Cognitive Genomics (NICOG) Centre and NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - M. Gill
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - A.P. Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - W. Cahn
- Brain Centre Rudolf Magnus, Department of Psychiatry, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - N. Ho
- Institute of Mental Health, Woodbridge Hospital, Singapore
| | - J. Liu
- Genome Institute, Singapore
| | - R.L. Gollub
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - D.S. Manoach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - V.D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA, United States
| | - S.R. Sponheim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
| | - S.L. Buka
- Department of Epidemiology, Brown University, Providence, RI, United States
| | - S. Cherkerzian
- Department of Medicine, Division of Women's Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - H.W. Thermenos
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - E.W. Dickie
- Kimel Family Translational Imaging Genetics Laboratory, Department of Psychiatry, Research Imaging Centre, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - S. Ciufolini
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - T. Reis Marques
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - N.A. Crossley
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - S.M. Purcell
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States
- Division of Psychiatric Genomics, Departments of Psychiatry and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - J.W. Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - N.E.M. van Haren
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Department of Psychiatry, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - T. Toulopoulou
- Department of Psychology & National Magnetic Resonance Research Center (UMRAM), Aysel Sabuncu Brain Research Centre (ASBAM), Bilkent University, Ankara, Turkey
- Department of Psychiatry, Faculty of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - G. Donohoe
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and Cognitive Genomics (NICOG) Centre and NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - J.M. Goldstein
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Department of Medicine, Division of Women's Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States
| | - M.S. Keshavan
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, MA, United States
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
- University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - T.L. Petryshen
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - E.C. del Re
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, MA, United States
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Veterans Affairs Boston Healthcare System, Brockton, MA, United States
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Walshe M, McDonald C, Taylor M, Zhao J, Sham P, Grech A, Schulze K, Bramon E, Murray RM. Obstetric complications in patients with schizophrenia and their unaffected siblings. Eur Psychiatry 2020; 20:28-34. [PMID: 15642440 DOI: 10.1016/j.eurpsy.2004.07.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2003] [Accepted: 07/21/2004] [Indexed: 10/26/2022] Open
Abstract
AbstractObjectiveWe sought to explore whether obstetric complications (OCs) are more likely to occur in the presence of familial/genetic susceptibility for schizophrenia or whether they themselves represent an independent environmental risk factor for schizophrenia.MethodsThe presence of OCs was assessed through maternal interview on 216 subjects, comprising 36 patients with schizophrenia from multiply affected families, 38 of their unaffected siblings, 31 schizophrenic patients with no family history of psychosis, 51 of their unaffected siblings and 60 normal comparison subjects. We examined the familiality of OCs and whether OCs were commoner in the patient and sibling groups than in the control group.ResultsOCs tended to cluster within families, especially in multiply affected families. Patients with schizophrenia, especially those from multiply affected families, had a significantly higher rate of OCs compared to normal comparison subjects, but there was no evidence for an elevated rate of OCs in unaffected siblings.ConclusionOur data provides little evidence for a link between OCs and genetic susceptibility to schizophrenia. If high rates of OCs are related to schizophrenia genes, this relationship is weak and will only be detected by very large sample sizes.
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Affiliation(s)
- M Walshe
- Division of Psychological Medicine, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, London, United Kingdom
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3
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Bramon E, Dempster E, Frangou S, McDonald C, Schoenberg P, MacCabe JH, Walshe M, Sham P, Collier D, Murray RM. Is there an association between the COMT gene and P300 endophenotypes? Eur Psychiatry 2020; 21:70-3. [PMID: 16414251 DOI: 10.1016/j.eurpsy.2005.11.001] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
AbstractP300 wave anomalies correlate with genetic risk for schizophrenia and constitute a plausible endophenotype for the disease. The COMT gene is thought to influence cognitive performance and to be a susceptibility gene for schizophrenia. Unlike two previous studies, we found no significant influence of the COMT gene on P300 amplitude or latency in 189 individuals examined. The well-supported role of the COMT gene both in dopamine catabolism as well as in prefrontal cognition makes a strong theoretical case for the influence of COMT Val158Met polymorphism on P300 endophenotypes. However, the available neurophysiologic evidence suggests that any such association, if present, must be very subtle.
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Affiliation(s)
- E Bramon
- Institute of Psychiatry, King's College London, De Crespigny Park, London SE5 8AF, UK.
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4
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Blakey R, Ranlund S, Zartaloudi E, Cahn W, Calafato S, Colizzi M, Crespo-Facorro B, Daniel C, Díez-Revuelta Á, Di Forti M, Iyegbe C, Jablensky A, Jones R, Hall MH, Kahn R, Kalaydjieva L, Kravariti E, Lin K, McDonald C, McIntosh AM, Picchioni M, Powell J, Presman A, Rujescu D, Schulze K, Shaikh M, Thygesen JH, Toulopoulou T, Van Haren N, Van Os J, Walshe M, Murray RM, Bramon E. Associations between psychosis endophenotypes across brain functional, structural, and cognitive domains. Psychol Med 2018; 48:1325-1340. [PMID: 29094675 PMCID: PMC6516747 DOI: 10.1017/s0033291717002860] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND A range of endophenotypes characterise psychosis, however there has been limited work understanding if and how they are inter-related. METHODS This multi-centre study includes 8754 participants: 2212 people with a psychotic disorder, 1487 unaffected relatives of probands, and 5055 healthy controls. We investigated cognition [digit span (N = 3127), block design (N = 5491), and the Rey Auditory Verbal Learning Test (N = 3543)], electrophysiology [P300 amplitude and latency (N = 1102)], and neuroanatomy [lateral ventricular volume (N = 1721)]. We used linear regression to assess the interrelationships between endophenotypes. RESULTS The P300 amplitude and latency were not associated (regression coef. -0.06, 95% CI -0.12 to 0.01, p = 0.060), and P300 amplitude was positively associated with block design (coef. 0.19, 95% CI 0.10-0.28, p 0.38). All the cognitive endophenotypes were associated with each other in the expected directions (all p < 0.001). Lastly, the relationships between pairs of endophenotypes were consistent in all three participant groups, differing for some of the cognitive pairings only in the strengths of the relationships. CONCLUSIONS The P300 amplitude and latency are independent endophenotypes; the former indexing spatial visualisation and working memory, and the latter is hypothesised to index basic processing speed. Individuals with psychotic illnesses, their unaffected relatives, and healthy controls all show similar patterns of associations between endophenotypes, endorsing the theory of a continuum of psychosis liability across the population.
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Affiliation(s)
- R. Blakey
- Division of Psychiatry, University College London, London, UK
| | - S. Ranlund
- Division of Psychiatry, University College London, London, UK
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - E. Zartaloudi
- Division of Psychiatry, University College London, London, UK
| | - W. Cahn
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - S. Calafato
- Division of Psychiatry, University College London, London, UK
| | - M. Colizzi
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - B. Crespo-Facorro
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
| | - C. Daniel
- Division of Psychiatry, University College London, London, UK
| | - Á. Díez-Revuelta
- Division of Psychiatry, University College London, London, UK
- Laboratory of Cognitive and Computational Neuroscience – Centre for Biomedical Technology (CTB), Complutense University and Technical University of Madrid, Madrid, Spain
| | - M. Di Forti
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | | | - C. Iyegbe
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - A. Jablensky
- Centre for Clinical Research in Neuropsychiatry, The University of Western Australia, Perth, Western Australia, Australia
| | - R. Jones
- Division of Psychiatry, University College London, London, UK
| | - M.-H. Hall
- Psychology Research Laboratory, Harvard Medical School, McLean Hospital, Belmont, MA, USA
| | - R. Kahn
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - L. Kalaydjieva
- Harry Perkins Institute of Medical Research and Centre for Medical Research, The University of Western Australia, Perth, Australia
| | - E. Kravariti
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - K. Lin
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - C. McDonald
- Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, Ireland
| | - A. M. McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK
| | | | - M. Picchioni
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - J. Powell
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - A. Presman
- Division of Psychiatry, University College London, London, UK
| | - D. Rujescu
- Department of Psychiatry, Ludwig-Maximilians University of Munich, Munich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Halle Wittenberg, Halle, Germany
| | - K. Schulze
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - M. Shaikh
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- North East London Foundation Trust, London, UK
| | - J. H. Thygesen
- Division of Psychiatry, University College London, London, UK
| | - T. Toulopoulou
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychology, Bilkent University, Main Campus, Bilkent, Ankara, Turkey
- Department of Psychology, the University of Hong Kong, Pokfulam Rd, Hong Kong SAR, China
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, The Hong Kong Jockey Club Building for Interdisciplinary Research, Hong Kong SAR, China
| | - N. Van Haren
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J. Van Os
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychiatry and Psychology, Maastricht University Medical Centre, EURON, Maastricht, The Netherlands
| | - M. Walshe
- Division of Psychiatry, University College London, London, UK
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | | | - R. M. Murray
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - E. Bramon
- Division of Psychiatry, University College London, London, UK
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
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5
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Mallas E, Carletti F, Chaddock CA, Shergill S, Woolley J, Picchioni MM, McDonald C, Toulopoulou T, Kravariti E, Kalidindi S, Bramon E, Murray R, Barker GJ, Prata DP. The impact of CACNA1C gene, and its epistasis with ZNF804A, on white matter microstructure in health, schizophrenia and bipolar disorder1. Genes, Brain and Behavior 2016; 16:479-488. [DOI: 10.1111/gbb.12355] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 10/24/2016] [Accepted: 10/25/2016] [Indexed: 12/16/2022]
Affiliation(s)
- E. Mallas
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience; King's College London
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine; Imperial College London; London
| | - F. Carletti
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience; King's College London
- Department of Neuroradiology, John Radcliffe Hospital; Oxford University Hospitals NHS Trust; Oxford
| | - C. A. Chaddock
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience; King's College London
| | - S. Shergill
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience; King's College London
| | - J. Woolley
- Psychological Medicine; Royal Brompton & Harefield NHS Trust; London
| | - M. M. Picchioni
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience; King's College London
- St. Andrew's Academic Department; St Andrew's Healthcare; Northampton UK
| | - C. McDonald
- Neuroimaging, Cognition & Genomics Centre (NICOG) & NCBES Galway Neuroscience Centre, College of Medicine, Nursing and Health Sciences; National University of Ireland Galway; Galway Ireland
| | - T. Toulopoulou
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience; King's College London
- Department of Psychology; The University of Hong Kong; Hong Kong Special Administrative Region
| | - E. Kravariti
- Department of Psychology, Institute of Psychiatry; Psychology & Neuroscience King's College London
| | - S. Kalidindi
- Department of Psychology, Institute of Psychiatry; Psychology & Neuroscience King's College London
| | - E. Bramon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience; King's College London
- Mental Health Neurosciences Research Department, Division of Psychiatry; University College London
| | - R. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience; King's College London
| | - G. J. Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience; King's College London; London UK
| | - D. P. Prata
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience; King's College London; London UK
- Instituto de Medicina Molecular; Faculdade de Medicina da Universidade de Lisboa; Lisbon Portugal
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6
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Madre M, Canales-Rodríguez EJ, Ortiz-Gil J, Murru A, Torrent C, Bramon E, Perez V, Orth M, Brambilla P, Vieta E, Amann BL. Neuropsychological and neuroimaging underpinnings of schizoaffective disorder: a systematic review. Acta Psychiatr Scand 2016; 134:16-30. [PMID: 27028168 DOI: 10.1111/acps.12564] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/08/2016] [Indexed: 12/11/2022]
Abstract
OBJECTIVES The neurobiological basis and nosological status of schizoaffective disorder remains elusive and controversial. This study provides a systematic review of neurocognitive and neuroimaging findings in the disorder. METHODS A comprehensive literature search was conducted via PubMed, ScienceDirect, Scopus and Web of Knowledge (from 1949 to 31st March 2015) using the keyword 'schizoaffective disorder' and any of the following terms: 'neuropsychology', 'cognition', 'structural neuroimaging', 'functional neuroimaging', 'multimodal', 'DTI' and 'VBM'. Only studies that explicitly examined a well defined sample, or subsample, of patients with schizoaffective disorder were included. RESULTS Twenty-two of 43 neuropsychological and 19 of 51 neuroimaging articles fulfilled inclusion criteria. We found a general trend towards schizophrenia and schizoaffective disorder being related to worse cognitive performance than bipolar disorder. Grey matter volume loss in schizoaffective disorder is also more comparable to schizophrenia than to bipolar disorder which seems consistent across further neuroimaging techniques. CONCLUSIONS Neurocognitive and neuroimaging abnormalities in schizoaffective disorder resemble more schizophrenia than bipolar disorder. This is suggestive for schizoaffective disorder being a subtype of schizophrenia or being part of the continuum spectrum model of psychosis, with schizoaffective disorder being more skewed towards schizophrenia than bipolar disorder.
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Affiliation(s)
- M Madre
- FIDMAG Research Foundation Germanes Hospitalàries, CIBERSAM, Barcelona, Spain
| | | | - J Ortiz-Gil
- FIDMAG Research Foundation Germanes Hospitalàries, CIBERSAM, Barcelona, Spain.,Hospital General de Granollers, Granollers, Catalonia, Spain
| | - A Murru
- Bipolar Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - C Torrent
- Bipolar Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - E Bramon
- Division of Psychiatry, University College London, London, UK
| | - V Perez
- Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Barcelona, Spain.,CIBERSAM, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Psiquiatria, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - M Orth
- Department of Neurology, Ulm University, Ulm, Germany
| | - P Brambilla
- Department of Neurosciences and Mental Health, Psychiatric Clinic, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.,Department of Psychiatry and Behavioural Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - E Vieta
- Bipolar Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - B L Amann
- FIDMAG Research Foundation Germanes Hospitalàries, CIBERSAM, Barcelona, Spain
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7
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Falkenberg I, Chaddock C, Murray RM, McDonald C, Modinos G, Bramon E, Walshe M, Broome M, McGuire P, Allen P. Failure to deactivate medial prefrontal cortex in people at high risk for psychosis. Eur Psychiatry 2015; 30:633-40. [PMID: 25841662 DOI: 10.1016/j.eurpsy.2015.03.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Revised: 03/04/2015] [Accepted: 03/05/2015] [Indexed: 10/23/2022] Open
Abstract
Impaired working memory is a core feature of schizophrenia and is linked with altered engagement the lateral prefrontal cortex. Although altered PFC activation has been reported in people with increased risk of psychosis, at present it is not clear if this neurofunctional alteration differs between familial and clinical risk states and/or increases in line with the level of psychosis risk. We addressed this issue by using functional MRI and a working memory paradigm to study familial and clinical high-risk groups. We recruited 17 subjects at ultra-high-risk (UHR) for psychosis, 10 non-affected siblings of patients with schizophrenia (familial high risk [FHR]) and 15 healthy controls. Subjects were scanned while performing the N-back working memory task. There was a relationship between the level of task-related deactivation in the medial PFC and precuneus and the level of psychosis risk, with deactivation weakest in the UHR group, greatest in healthy controls, and at an intermediate level in the FHR group. In the high-risk groups, activation in the precuneus was associated with the level of negative symptoms. These data suggest that increased vulnerability to psychosis is associated with a failure to deactivate in the medial PFC and precuneus during a working memory task, and appears to be most evident in subjects at clinical, as opposed to familial high risk.
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Affiliation(s)
- I Falkenberg
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, United Kingdom; Department of Psychiatry and Psychotherapy, Philipps-University of Marburg, Marburg, Germany.
| | - C Chaddock
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, United Kingdom
| | - R M Murray
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, United Kingdom
| | - C McDonald
- Department of Psychiatry, Clinical Science Institute, National University of Ireland, Galway, Galway, Ireland
| | - G Modinos
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, United Kingdom
| | - E Bramon
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, United Kingdom; Department of Clinical Neuroscience, Institute of Psychiatry, King's College London, London, United Kingdom
| | - M Walshe
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, United Kingdom
| | - M Broome
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, United Kingdom; Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Gibbet Hill, Coventry, CV4 7AL, United Kingdom
| | - P McGuire
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, United Kingdom
| | - P Allen
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, United Kingdom
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8
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Chen KC, Lee IH, Yang YK, Landau S, Chang WH, Chen PS, Lu RB, David AS, Bramon E. P300 waveform and dopamine transporter availability: a controlled EEG and SPECT study in medication-naive patients with schizophrenia and a meta-analysis. Psychol Med 2014; 44:2151-2162. [PMID: 24238542 DOI: 10.1017/s0033291713002808] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Reduced P300 event-related potential (ERP) amplitude and latency prolongation have been reported in patients with schizophrenia compared to healthy controls. However, the influence of antipsychotics (and dopamine) on ERP measures are poorly understood and medication confounding remains a possibility. METHOD We explored ERP differences between 36 drug-naive patients with schizophrenia and 138 healthy controls and examined whether P300 performance was related to dopamine transporter (DAT) availability, both without the confounding effects of medication. We also conducted a random effects meta-analysis of the available literature, synthesizing the results of three comparable published articles and our local study. RESULTS No overall significant difference was found in mean P300 ERP between patients and controls in latency or in amplitude. There was a significant gender effect, with females showing greater P300 amplitude than males. A difference between patients and controls in P300 latency was evident with ageing, with latency increasing faster in patients. No effect of DAT availability on P300 latency or amplitude was detected. The meta-analysis computed the latency pooled standardized effect size (PSES; Cohen's d) of -0.13 and the amplitude PSES (Cohen's d) of 0.48, with patients showing a significant reduction in amplitude. CONCLUSIONS Our findings suggest the P300 ERP is not altered in the early stages of schizophrenia before medication is introduced, and the DAT availability does not influence the P300 ERP amplitude or latency. P300 ERP amplitude reduction could be an indicator of the progression of illness and chronicity.
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Affiliation(s)
- K C Chen
- Department of Psychiatry,National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University,Tainan,Taiwan
| | - I H Lee
- Department of Psychiatry,National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University,Tainan,Taiwan
| | - Y K Yang
- Department of Psychiatry,National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University,Tainan,Taiwan
| | - S Landau
- Department of Biostatistics, Institute of Psychiatry,King's College London,UK
| | - W H Chang
- Department of Psychiatry,National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University,Tainan,Taiwan
| | - P S Chen
- Department of Psychiatry,National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University,Tainan,Taiwan
| | - R B Lu
- Department of Psychiatry,National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University,Tainan,Taiwan
| | - A S David
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,UK
| | - E Bramon
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,UK
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9
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Emsell L, Chaddock C, Forde N, Van Hecke W, Barker GJ, Leemans A, Sunaert S, Walshe M, Bramon E, Cannon D, Murray R, McDonald C. White matter microstructural abnormalities in families multiply affected with bipolar I disorder: a diffusion tensor tractography study. Psychol Med 2014; 44:2139-2150. [PMID: 24280191 DOI: 10.1017/s0033291713002845] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND White matter (WM) abnormalities are proposed as potential endophenotypic markers of bipolar disorder (BD). In a diffusion tensor imaging (DTI) voxel-based analysis (VBA) study of families multiply affected with BD, we previously reported that widespread abnormalities of fractional anisotropy (FA) are associated with both BD and genetic liability for illness. In the present study, we further investigated the endophenotypic potential of WM abnormalities by applying DTI tractography to specifically investigate tracts implicated in the pathophysiology of BD. METHOD Diffusion magnetic resonance imaging (MRI) data were acquired from 19 patients with BD type I from multiply affected families, 21 of their unaffected first-degree relatives and 18 healthy volunteers. DTI tractography was used to identify the cingulum, uncinate fasciculus (UF), arcuate portion of the superior longitudinal fasciculus (SLF), inferior longitudinal fasciculus (ILF), corpus callosum, and the anterior limb of the internal capsule (ALIC). Regression analyses were conducted to investigate the effect of participant group and genetic liability on FA and radial diffusivity (RD) in each tract. RESULTS We detected a significant effect of group on both FA and RD in the cingulum, SLF, callosal splenium and ILF driven by reduced FA and increased RD in patients compared to controls and relatives. Increasing genetic liability was associated with decreased FA and increased RD in the UF, and decreased FA in the SLF, among patients. CONCLUSIONS WM microstructural abnormalities in limbic, temporal and callosal pathways represent microstructural abnormalities associated with BD whereas alterations in the SLF and UF may represent potential markers of endophenotypic risk.
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Affiliation(s)
- L Emsell
- Translational MRI, Department of Imaging and Pathology, KU Leuven and Radiology,University Hospitals Leuven,Belgium
| | - C Chaddock
- Department of Psychological Medicine, Institute of Psychiatry,King's College London,UK
| | - N Forde
- Clinical Science Institute,National University of Ireland,Galway,Ireland
| | | | - G J Barker
- Department of Neuroimaging, Institute of Psychiatry,King's College London,UK
| | - A Leemans
- Image Sciences Institute,University Medical Centre Utrecht,The Netherlands
| | - S Sunaert
- Translational MRI, Department of Imaging and Pathology, KU Leuven and Radiology,University Hospitals Leuven,Belgium
| | - M Walshe
- Department of Psychological Medicine, Institute of Psychiatry,King's College London,UK
| | - E Bramon
- Department of Psychological Medicine, Institute of Psychiatry,King's College London,UK
| | - D Cannon
- Clinical Science Institute,National University of Ireland,Galway,Ireland
| | - R Murray
- Department of Psychological Medicine, Institute of Psychiatry,King's College London,UK
| | - C McDonald
- Clinical Science Institute,National University of Ireland,Galway,Ireland
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10
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Radua J, Surguladze SA, Marshall N, Walshe M, Bramon E, Collier DA, Prata DP, Murray RM, McDonald C. The impact of CACNA1C allelic variation on effective connectivity during emotional processing in bipolar disorder. Mol Psychiatry 2013; 18:526-7. [PMID: 22614292 DOI: 10.1038/mp.2012.61] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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11
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Abstract
Subtle alterations in brain development caused by genes or early environmental hazards, such as obstetric complications, play a role in projecting some individuals on a trajectory toward schizophrenia. High-risk and cohort studies demonstrate that children destined to develop schizophrenia tend to have delayed milestones and subtle neuromotor and cognitive impairments (particularly in coordination and language). These neurocognitive problems lead to difficulties in interpersonal relations, and their progressive alienation makes these at-risk children more likely to harbor odd or paranoid ideas. This cascade of increasingly deviant development may then be compounded by brain maturational changes during adolescence with a resultant lability of the dopaminergic response to stress. As a result, the individual is more susceptible to the effects of the abuse of dopamine-releasing drugs, and to other risk factors such as migration or stressful life events; social isolation may be a common pathway underlying several of the social risk factors.
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Affiliation(s)
- E Bramon
- Division of Psychological Medicine, Institute of Psychiatry, London, UK
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12
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Fusar-Poli P, Broome MR, Woolley JB, Johns LC, Tabraham P, Bramon E, Valmaggia L, Williams SC, McGuire P. Altered brain function directly related to structural abnormalities in people at ultra high risk of psychosis: longitudinal VBM-fMRI study. J Psychiatr Res 2011; 45:190-8. [PMID: 20580022 DOI: 10.1016/j.jpsychires.2010.05.012] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2010] [Revised: 05/09/2010] [Accepted: 05/10/2010] [Indexed: 10/19/2022]
Abstract
BACKGROUND Several studies have indicated that people with prodromal signs of psychosis show alterations in the structure and function of the brain when they first present to clinical services. However, the longitudinal course of these abnormalities, and how they relate to subsequent clinical and functional outcome is relatively unclear. METHODS A cohort of subjects at ultra high risk of psychosis were studied using functional magnetic resonance imaging (fMRI) in conjunction with the N-Back task, and volumetric MRI at first clinical presentation and again after one year. Levels of psychopathology and global functioning were assessed at the same time points using the CAARMS, PANSS, and the GAF scale. RESULTS At baseline, the high risk group showed reduced activation during the task in the left middle frontal gyrus, supramarginal gyrus and inferior parietal lobule, and reduced gray matter volume in the left middle and medial frontal gyri, left insula and the right anterior cingulate gyrus. Within the high-risk group, there was a positive correlation between the magnitude of the functional and structural alterations in the left middle frontal gyrus. Between presentation and follow up, the severity of perceptual disorder and thought disorder (rated by the CAARMS), and of general psychopathology (rated by the PANSS general score) decreased, and the level of global functioning improved. This clinical and functional improvement was associated with a longitudinal increase in activation in the anterior cingulate and right parahippocampal gyrus. The change in anterior cingulate response was directly correlated with the improvement in the GAF score. CONCLUSIONS In subjects presenting with prodromal signs of psychosis, reduced prefrontal activation during a working memory task is associated with a reduction in gray matter volume in the same area. Changes in anterior cingulate activation were correlated with functional improvement in this group, consistent with the role of this region in multiple cognitive and social processes.
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Affiliation(s)
- P Fusar-Poli
- Department of Psychosis Studies, King's College London, King's Health Partners, Institute of Psychiatry, UK.
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13
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Shaikh M, Hall MH, Schulze K, Dutt A, Walshe M, Williams I, Constante M, Picchioni M, Toulopoulou T, Collier D, Rijsdijk F, Powell J, Arranz M, Murray RM, Bramon E. Do COMT, BDNF and NRG1 polymorphisms influence P50 sensory gating in psychosis? Psychol Med 2011; 41:263-276. [PMID: 20102668 DOI: 10.1017/s003329170999239x] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Auditory P50 sensory gating deficits correlate with genetic risk for schizophrenia and constitute a plausible endophenotype for the disease. The well-supported role of catechol-O-methyltransferase (COMT), brain-derived neurotrophic factor (BDNF) and neuregulin 1 (NRG1) genes in neurodevelopment and cognition make a strong theoretical case for their influence on the P50 endophenotype. METHOD The possible role of NRG1, COMT Val158Met and BDNF Val66Met gene polymorphisms on the P50 endophenotype was examined in a large sample consisting of psychotic patients, their unaffected relatives and unrelated healthy controls using linear regression analyses. RESULTS Although P50 deficits were present in patients and their unaffected relatives, there was no evidence for an association between NRG1, COMT Val158Met or BDNF Val66Met genotypes and the P50 endophenotype. CONCLUSIONS The evidence from our large study suggests that any such association between P50 indices and NRG1, COMT Val158Met or BDNF Val66Met genotypes, if present, must be very subtle.
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Affiliation(s)
- M Shaikh
- NIHR Biomedical Research Centre, Institute of Psychiatry, King's College London/South London and Maudsley NHS Foundation Trust, London, UK.
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14
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Fusar-Poli P, Broome M, Matthiasson P, Woolley J, Mechelli A, Johns L, Tabraham P, Bramon E, Valmaggia L, Williams S, McGuire P. Prefrontal function at presentation directly related to clinical outcome in people at ultrahigh risk of psychosis. Schizophr Bull 2011; 37:189-98. [PMID: 19666832 PMCID: PMC3004199 DOI: 10.1093/schbul/sbp074] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND The prodromal phase of psychosis is characterized by impaired executive function and altered prefrontal activation. The extent to which the severity of these deficits at presentation predicts subsequent clinical outcomes is unclear. METHODS We employed functional magnetic resonance imaging in a cohort of subjects at clinical risk for psychosis and in healthy controls. Images were acquired at clinical presentation and again after 1 year, using a 1.5-T Signa MRI scanner while subjects were performing a verbal fluency task. SPM5 was used for the analysis of imaging data. Psychopathological assessment of the "at-risk" symptoms was performed by using the Comprehensive Assessment for the At-Risk Mental State (CAARMS) and the Positive and Negative Symptom Scale (PANSS). RESULTS In the at-risk mental state (ARMS) group, between presentation and follow-up, the CAARMS (perceptual disorder and thought disorder subscales) and the PANSS general scores decreased, while the Global Assessment of Functioning (GAF) score increased. Both the ARMS and control groups performed the verbal fluency task with a high degree of accuracy. The ARMS group showed greater activation in the left inferior frontal gyrus but less activation in the anterior cingulate gyrus than controls. Within the ARMS group, the longitudinal normalization of neurofunctional response in the left inferior frontal gyrus was positively correlated with the improvement in severity of hallucination-like experiences. CONCLUSIONS The normalization of the abnormal prefrontal response during executive functioning is associated with 12-month psychopathological improvement of prodromal symptoms.
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Affiliation(s)
- P. Fusar-Poli
- Section of Psychiatry, Department of Health Sciences, University of Pavia, Pavia, Italy,To whom correspondence should be addressed; Section of Neuroimaging, Division of Psychological Medicine, PO67, Institute of Psychiatry, King's College London, De Crespigny Park 16, London SE58AF, UK; tel: +44-0-77-8666-6570, fax: +44-0-20-7848-0976, e-mail:
| | - M.R. Broome
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK,Health Sciences Research Institute, Warwick Medical School, University of Warwick, Coventry, UK
| | - P. Matthiasson
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK
| | - J.B. Woolley
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK
| | - A. Mechelli
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK
| | - L.C. Johns
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK
| | - P. Tabraham
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK
| | - E. Bramon
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK
| | - L. Valmaggia
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK
| | - S.C. Williams
- Brain Image Analysis Unit, Department of Biostatistics and Computing, Institute of Psychiatry, King's College London, London, UK
| | - P. McGuire
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK
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15
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Ingason A, Rujescu D, Cichon S, Sigurdsson E, Sigmundsson T, Pietiläinen OPH, Buizer-Voskamp JE, Strengman E, Francks C, Muglia P, Gylfason A, Gustafsson O, Olason PI, Steinberg S, Hansen T, Jakobsen KD, Rasmussen HB, Giegling I, Möller HJ, Hartmann A, Crombie C, Fraser G, Walker N, Lonnqvist J, Suvisaari J, Tuulio-Henriksson A, Bramon E, Kiemeney LA, Franke B, Murray R, Vassos E, Toulopoulou T, Mühleisen TW, Tosato S, Ruggeri M, Djurovic S, Andreassen OA, Zhang Z, Werge T, Ophoff RA, Rietschel M, Nöthen MM, Petursson H, Stefansson H, Peltonen L, Collier D, Stefansson K, St Clair DM. Copy number variations of chromosome 16p13.1 region associated with schizophrenia. Mol Psychiatry 2011; 16:17-25. [PMID: 19786961 PMCID: PMC3330746 DOI: 10.1038/mp.2009.101] [Citation(s) in RCA: 204] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Deletions and reciprocal duplications of the chromosome 16p13.1 region have recently been reported in several cases of autism and mental retardation (MR). As genomic copy number variants found in these two disorders may also associate with schizophrenia, we examined 4345 schizophrenia patients and 35,079 controls from 8 European populations for duplications and deletions at the 16p13.1 locus, using microarray data. We found a threefold excess of duplications and deletions in schizophrenia cases compared with controls, with duplications present in 0.30% of cases versus 0.09% of controls (P=0.007) and deletions in 0.12 % of cases and 0.04% of controls (P>0.05). The region can be divided into three intervals defined by flanking low copy repeats. Duplications spanning intervals I and II showed the most significant (P = 0.00010) association with schizophrenia. The age of onset in duplication and deletion carriers among cases ranged from 12 to 35 years, and the majority were males with a family history of psychiatric disorders. In a single Icelandic family, a duplication spanning intervals I and II was present in two cases of schizophrenia, and individual cases of alcoholism, attention deficit hyperactivity disorder and dyslexia. Candidate genes in the region include NTAN1 and NDE1. We conclude that duplications and perhaps also deletions of chromosome 16p13.1, previously reported to be associated with autism and MR, also confer risk of schizophrenia.
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Affiliation(s)
- A Ingason
- deCODE genetics, Reykjavík, Iceland
,Research Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark
| | - D Rujescu
- Division of Molecular and Clinical Neurobiology, Department of Psychiatry, Ludwig-Maximilians-University and Genetics Research Centre GmbH, Munich, Germany
| | - S Cichon
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - E Sigurdsson
- Department of Psychiatry, National University Hospital, Reykjavík, Iceland
| | - T Sigmundsson
- Department of Psychiatry, National University Hospital, Reykjavík, Iceland
| | - OPH Pietiläinen
- Department for Molecular Medicine, National Public Health Institute, Helsinki, Finland
| | - JE Buizer-Voskamp
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
,Department of Medical Genetics and Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - E Strengman
- Department of Medical Genetics and Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C Francks
- Medical Genetics, GlaxoSmithKline R&D, Verona, Italy
| | - P Muglia
- Medical Genetics, GlaxoSmithKline R&D, Verona, Italy
| | | | | | | | | | - T Hansen
- Research Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark
| | - KD Jakobsen
- Research Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark
| | - HB Rasmussen
- Research Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark
| | - I Giegling
- Division of Molecular and Clinical Neurobiology, Department of Psychiatry, Ludwig-Maximilians-University and Genetics Research Centre GmbH, Munich, Germany
| | - H-J Möller
- Division of Molecular and Clinical Neurobiology, Department of Psychiatry, Ludwig-Maximilians-University and Genetics Research Centre GmbH, Munich, Germany
| | - A Hartmann
- Division of Molecular and Clinical Neurobiology, Department of Psychiatry, Ludwig-Maximilians-University and Genetics Research Centre GmbH, Munich, Germany
| | - C Crombie
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, Scotland
| | - G Fraser
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, Scotland
| | - N Walker
- Ravenscraig Hospital, Greenock, Scotland
| | - J Lonnqvist
- Department of Mental Health and Addiction, National Public Health Institute, Helsinki, Finland
| | - J Suvisaari
- Department of Mental Health and Addiction, National Public Health Institute, Helsinki, Finland
| | - A Tuulio-Henriksson
- Department of Mental Health and Addiction, National Public Health Institute, Helsinki, Finland
| | - E Bramon
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College, London, UK
| | - LA Kiemeney
- Department of Epidemiology & Biostatistics (133 EPIB)/Department of Urology (659 URO), Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - B Franke
- Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - R Murray
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College, London, UK
| | - E Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College, London, UK
| | - T Toulopoulou
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College, London, UK
| | - TW Mühleisen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - S Tosato
- Section of Psychiatry and Clinical Psychology, University of Verona, Verona, Italy
| | - M Ruggeri
- Section of Psychiatry and Clinical Psychology, University of Verona, Verona, Italy
| | - S Djurovic
- Institute of Psychiatry, University of Oslo, Oslo, Norway
,Departments of Medical Genetics and Psychiatry, Ulleval University Hospital, Oslo, Norway
| | - OA Andreassen
- Institute of Psychiatry, University of Oslo, Oslo, Norway
,Departments of Medical Genetics and Psychiatry, Ulleval University Hospital, Oslo, Norway
| | - Z Zhang
- Department of Statistics, UCLA, Los Angeles, CA, USA
| | - T Werge
- Research Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Copenhagen University Hospital, Roskilde, Denmark
| | - RA Ophoff
- Department of Medical Genetics and Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
,UCLA Center for Neurobehavioral Genetics and Department of Human Genetics, Los Angeles, CA, USA
| | | | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health Mannheim, University of Heidelberg, Mannheim, Germany
| | - MM Nöthen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - H Petursson
- Department of Psychiatry, National University Hospital, Reykjavík, Iceland
| | | | - L Peltonen
- Department for Molecular Medicine, National Public Health Institute, Helsinki, Finland
,Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
,The Broad Institute, Cambridge, MA, USA
| | - D Collier
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College, London, UK
| | | | - DM St Clair
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, Scotland
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16
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Prata DP, Mechelli A, Picchioni M, Fu CHY, Kane F, Kalidindi S, McDonald C, Kravariti E, Toulopoulou T, Bramon E, Walshe M, Murray R, Collier DA, McGuire PK. No association of Disrupted-in-Schizophrenia-1 variation with prefrontal function in patients with schizophrenia and bipolar disorder. Genes Brain Behav 2010; 10:276-85. [PMID: 21091867 DOI: 10.1111/j.1601-183x.2010.00665.x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The Disrupted-in-Schizophrenia-1 (DISC1) gene has been implicated in both schizophrenia and bipolar disorder by linkage and genetic association studies. Altered prefrontal cortical function is a pathophysiological feature of both disorders, and we have recently shown that variation in DISC1 modulates prefrontal activation in healthy volunteers. Our goal was to examine the influence of the DISC1 polymorphism Cys704Ser on prefrontal function in schizophrenia and bipolar disorder. From 2004 to 2008, patients with schizophrenia (N = 44), patients with bipolar disorder (N = 35) and healthy volunteers (N = 53) were studied using functional magnetic resonance imaging while performing a verbal fluency task. The effect of Cys704Ser on cortical activation was compared between groups as Cys704 carriers vs. Ser704 homozygotes. In contrast to the significant effect on prefrontal activation we had previously found in healthy subjects, no significant effect of Cys704Ser was detected in this or any other region in either the schizophrenia or bipolar groups. When controls were compared with patients with schizophrenia, there was a diagnosis by genotype interaction in the left middle/superior frontal gyrus [family-wise error (FWE) P = 0.002]. In this region, Ser704/ser704 controls activated more than Cys704 carriers, and there was a trend in the opposite direction in schizophrenia patients. In contrast to its effect in healthy subjects, variation in DISC1 Cys704Ser704 genotype was not associated with altered prefrontal activation in patients with schizophrenia or bipolar disorder. The absence of an effect in patients may reflect interactions of the effects of DISC1 genotype with the effects of other genes associated with these disorders, and/or with the effects of the disorders on brain function.
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Affiliation(s)
- D P Prata
- Division of Psychosis Studies, Institute of Psychiatry, King's Health Partners, King's College London, London, UK.
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17
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Broome MR, Fusar-Poli P, Matthiasson P, Woolley JB, Valmaggia L, Johns LC, Tabraham P, Bramon E, Williams SCR, Brammer MJ, Chitnis X, Zelaya F, McGuire PK. Neural correlates of visuospatial working memory in the 'at-risk mental state'. Psychol Med 2010; 40:1987-1999. [PMID: 20214840 DOI: 10.1017/s0033291710000280] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Impaired spatial working memory (SWM) is a robust feature of schizophrenia and has been linked to the risk of developing psychosis in people with an at-risk mental state (ARMS). We used functional magnetic resonance imaging (fMRI) to examine the neural substrate of SWM in the ARMS and in patients who had just developed schizophrenia. METHOD fMRI was used to study 17 patients with an ARMS, 10 patients with a first episode of psychosis and 15 age-matched healthy comparison subjects. The blood oxygen level-dependent (BOLD) response was measured while subjects performed an object-location paired-associate memory task, with experimental manipulation of mnemonic load. RESULTS In all groups, increasing mnemonic load was associated with activation in the medial frontal and medial posterior parietal cortex. Significant between-group differences in activation were evident in a cluster spanning the medial frontal cortex and right precuneus, with the ARMS groups showing less activation than controls but greater activation than first-episode psychosis (FEP) patients. These group differences were more evident at the most demanding levels of the task than at the easy level. In all groups, task performance improved with repetition of the conditions. However, there was a significant group difference in the response of the right precuneus across repeated trials, with an attenuation of activation in controls but increased activation in FEP and little change in the ARMS. CONCLUSIONS Abnormal neural activity in the medial frontal cortex and posterior parietal cortex during an SWM task may be a neural correlate of increased vulnerability to psychosis.
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Affiliation(s)
- M R Broome
- Psychosis Clinical Academic Group, Institute of Psychiatry, King's College London, UK.
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18
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Broome MR, Matthiasson P, Fusar-Poli P, Woolley JB, Johns LC, Tabraham P, Bramon E, Valmaggia L, Williams SCR, Brammer MJ, Chitnis X, McGuire PK. Neural correlates of movement generation in the 'at-risk mental state'. Acta Psychiatr Scand 2010; 122:295-301. [PMID: 20064129 DOI: 10.1111/j.1600-0447.2009.01524.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE People with 'prodromal' symptoms have a very high risk of developing psychosis. We examined the neurocognitive basis of this vulnerability by using functional MRI to study subjects with an at-risk mental state (ARMS) while they performed a random movement generation task. METHOD Cross-sectional comparison of individuals with an ARMS (n = 17), patients with first episode schizophreniform psychosis (n = 10) and healthy volunteers (n = 15). Subjects were studied using functional MRI while they performed a random movement generation paradigm. RESULTS During random movement generation, the ARMS group showed less activation in the left inferior parietal cortex than controls, but greater activation than in the first episode group. CONCLUSION The ARMS is associated with abnormalities of regional brain function that are qualitatively similar to those in patients who have recently presented with psychosis but less severe.
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Affiliation(s)
- Matthew R Broome
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK.
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19
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Fusar-Poli P, Broome MR, Matthiasson P, Woolley JB, Johns LC, Tabraham P, Bramon E, Valmaggia L, Williams SC, McGuire P. Spatial working memory in individuals at high risk for psychosis: longitudinal fMRI study. Schizophr Res 2010; 123:45-52. [PMID: 20688479 DOI: 10.1016/j.schres.2010.06.008] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2009] [Revised: 05/25/2010] [Accepted: 06/12/2010] [Indexed: 10/19/2022]
Abstract
BACKGROUND Neurocognitive impairments in executive and mnemonic domains are already evident in the pre-psychotic phases. The longitudinal dynamic course of the neurofunctional abnormalities underlying liability to psychosis and their relation to clinical outcomes is unknown. METHODS In this study we used functional magnetic resonance imaging (fMRI) in a cohort of subjects at ultra high clinical risk for psychosis (with an "At Risk Mental State", ARMS) and in healthy controls. Images were acquired at baseline and again after one year on a 1.5 Tesla Signa, while patients were performing a visuospatial working memory task. Psychopathological assessment of the prodromal symptoms was conducted at the same time points by using the CAARMS and the PANSS instruments. RESULTS There were no significant differences between the ARMS and control groups with respect to age or IQ. Although both groups performed the PAL task with a high degree of accuracy, the ARMS showed an increased latency in answers during the most demanding level of the task. At baseline, such cognitive impairment was associated with reduced activation in the left precuneus, left superior parietal lobule, right middle temporal gyrus in the ARMS as compared to controls. In addition, the ARMS failed to activate parietal areas with increasing difficulty of the task. Between presentation and follow-up the overall clinical status of the ARMS sample improved, despite 2 out of the 15 subjects having developed a full-blown psychosis: the CAARMS (perceptual disorder and thought disorder subscales) and the PANNS general scores decreased, while the GAF score increased. Such clinical amelioration was associated with a longitudinal compensatory increase in occipitoparietal regions. CONCLUSIONS The prodromal phase of psychosis is associated with functional alterations in parietal and temporal networks subserving visuospatial working memory which are more evident under high cognitive loads. The clinical improvement at one year is associated with a compensatory increase in occipitoparietal regions.
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Affiliation(s)
- P Fusar-Poli
- Institute of Psychiatry, King's Health Partners, King's College London, UK.
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20
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Picchioni MM, Walshe M, Toulopoulou T, McDonald C, Taylor M, Waters-Metenier S, Bramon E, Regojo A, Murray RM, Rijsdijk F. Genetic modelling of childhood social development and personality in twins and siblings with schizophrenia. Psychol Med 2010; 40:1305-1316. [PMID: 19863839 DOI: 10.1017/s0033291709991425] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Abnormalities in early social development and personality are present in patients with schizophrenia and their unaffected relatives. This study aimed to establish the degree to which these childhood and adolescent developmental abnormalities are genetically determined. METHOD We used a combined twin and family study design (n=531) to assess childhood and adolescent social adjustment and schizotypal personality traits in 98 twin pairs (n=196) varying in their zygosity and concordance for schizophrenia and 156 sibling clusters (n=335) varying in their concordance for schizophrenia. RESULTS Schizophrenia was significantly associated with childhood and adolescent deficits in social adjustment and personality, with additive genetic effects being the main source of these phenotypic correlations. CONCLUSIONS Abnormalities of social adjustment and personality are present in children and adolescents who later develop schizophrenia, reflecting the influence of common genetic risk.
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Affiliation(s)
- M M Picchioni
- Division of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK.
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21
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Surguladze SA, Marshall N, Schulze K, Hall MH, Walshe M, Bramon E, Phillips ML, Murray RM, McDonald C. Exaggerated neural response to emotional faces in patients with bipolar disorder and their first-degree relatives. Neuroimage 2010; 53:58-64. [PMID: 20595014 DOI: 10.1016/j.neuroimage.2010.05.069] [Citation(s) in RCA: 102] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2010] [Revised: 04/29/2010] [Accepted: 05/26/2010] [Indexed: 12/11/2022] Open
Abstract
Neuroimaging studies have demonstrated abnormalities in patients with bipolar disorder, including overactivity in anterior limbic structures in response to fearful or happy facial expressions. We investigated whether such anomalies might constitute heritable deviations underlying bipolar disorder, by virtue of being detectable in unaffected relatives carrying genetic liability for illness. Twenty patients with bipolar I disorder, twenty of their unaffected 1st degree relatives and twenty healthy volunteers participated in functional magnetic resonance imaging experiments of facial emotion processing. In one of these experiments, the participants watched faces expressing fear of varying intensities (moderate and high), intermixed with the non-emotional faces, and in another experiment - faces expressing moderate or high degrees of happiness intermixed with non-emotional faces. Repeated measures 2x3x3 ANOVA with emotion (fear and happy), intensity (neutral, moderate, and high) as within-subjects variables and group (patients, relatives, and controls) as between-subjects variable produced two clusters of differential activation, located in medial prefrontal cortex and left putamen. Activity in medial prefrontal cortex was greater in patients and in relatives compared with healthy volunteers in response to both fearful and happy faces. Activity in left putamen in response to moderate fear was greater in patients and in relatives compared with controls. Patients (but not relatives) showed also a greater activation in response to high intensity happy faces, compared with controls. Region of Interest analysis of amygdala activation showed increased activity in left amygdala in both patients and relatives groups in response to intensively happy faces. Exaggerated medial prefrontal cortical and subcortical (putamen and amygdala) responses to emotional signals may represent heritable neurobiological abnormalities underlying bipolar disorder.
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Affiliation(s)
- S A Surguladze
- King's College London Institute of Psychiatry, DeCrespigny Park, London SE5 8AF, UK.
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22
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Dutt A, McDonald C, Dempster E, Prata D, Shaikh M, Williams I, Schulze K, Marshall N, Walshe M, Allin M, Collier D, Murray R, Bramon E. The effect of COMT, BDNF, 5-HTT, NRG1 and DTNBP1 genes on hippocampal and lateral ventricular volume in psychosis. Psychol Med 2009; 39:1783-1797. [PMID: 19573260 DOI: 10.1017/s0033291709990316] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Morphometric endophenotypes which have been proposed for psychotic disorders include lateral ventricular enlargement and hippocampal volume reductions. Genetic epidemiological studies support an overlap between schizophrenia and bipolar disorder, and COMT, BDNF, 5-HTT, NRG1 and DTNBP1 genes have been implicated in the aetiology of both these disorders. This study examined associations between these candidate genes and morphometric endophenotypes for psychosis. METHOD A total of 383 subjects (128 patients with psychosis, 194 of their unaffected relatives and 61 healthy controls) from the Maudsley Family Psychosis Study underwent structural magnetic resonance imaging and genotyping. The effect of candidate genes on brain morphometry was examined using linear regression models adjusting for clinical group, age, sex and correlations between members of the same family. RESULTS The results showed no evidence of association between variation in COMT genotype and lateral ventricular, and left or right hippocampal volumes. Neither was there any effect of the BDNF, 5-HTTLPR, NRG1 and DTNBP1 genotypes on these regional brain volumes. CONCLUSIONS Abnormal hippocampal and lateral ventricular volumes are among the most replicated endophenotypes for psychosis; however, the influences of COMT, BDNF, 5-HTT, NRG1 and DTNBP1 genes on these key brain regions must be very subtle if at all present.
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Affiliation(s)
- A Dutt
- NIHR Biomedical Research Centre, Institute of Psychiatry (King's College London)/South London and Maudsley NHS Foundation Trust, London, UK.
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23
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Valmaggia LR, McCrone P, Knapp M, Woolley JB, Broome MR, Tabraham P, Johns LC, Prescott C, Bramon E, Lappin J, Power P, McGuire PK. Economic impact of early intervention in people at high risk of psychosis. Psychol Med 2009; 39:1617-1626. [PMID: 19356258 DOI: 10.1017/s0033291709005613] [Citation(s) in RCA: 89] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Despite the increasing development of early intervention services for psychosis, little is known about their cost-effectiveness. We assessed the cost-effectiveness of Outreach and Support in South London (OASIS), a service for people with an at-risk mental state (ARMS) for psychosis. METHOD The costs of OASIS compared to care as usual (CAU) were entered in a decision model and examined for 12- and 24-month periods, using the duration of untreated psychosis (DUP) and rate of transition to psychosis as key parameters. The costs were calculated on the basis of services used following referral and the impact on employment. Sensitivity analysis was used to test the robustness of all the assumptions made in the model. RESULTS Over the initial 12 months from presentation, the costs of the OASIS intervention were pound1872 higher than CAU. However, after 24 months they were pound961 less than CAU. CONCLUSIONS This model suggests that services that permit early detection of people at high risk of psychosis may be cost saving.
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Affiliation(s)
- L R Valmaggia
- OASIS and Department of Psychological Medicine, Institute of Psychiatry, King's College London, UK.
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24
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Hall MH, Schulze K, Rijsdijk F, Kalidindi S, McDonald C, Bramon E, Murray RM, Sham P. Are auditory P300 and duration MMN heritable and putative endophenotypes of psychotic bipolar disorder? A Maudsley Bipolar Twin and Family Study. Psychol Med 2009; 39:1277-1287. [PMID: 19250581 DOI: 10.1017/s0033291709005261] [Citation(s) in RCA: 78] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Impaired P300 auditory response has been reported in patients with psychotic bipolar disorder (BPD) and unaffected relatives of psychotic bipolar patients. Deficits in mismatch negativity (MMN), however, have not been observed in bipolar patients. To our knowledge, no family study of MMN in BPD has been reported. The current study combined the Maudsley twin and bipolar family samples using genetic model fitting analyses to: (1) assess the relationship between BPD and MMN, (2) substantiate the association between psychotic BPD and P300 variables, (3) verify the genetic overlap of BPD with P300 amplitude previously reported in the twin sample, and (4) examine the shared genetic influences between BPD and bilateral temporal scalp locations of P300 components. METHOD A total of 301 subjects were included in this study, including 94 twin pairs, 31 bipolar families, and 39 unrelated healthy controls. Statistical analyses were based on structural equation modelling. RESULTS Both P300 and MMN are heritable, with heritability estimates of 0.58 for MMN, 0.68-0.80 for P300 amplitude, and 0.21-0.56 for P300 latency. The bipolar patients and their relatives showed normal MMN. No significant association, either genetic or environmental, was found with BPD. BPD was significantly associated with reduced P300 amplitude and prolonged latency on midline and bilateral temporal-posterior scalp areas. Shared genetic factors were the main source of these associations. CONCLUSIONS The results confirm that MMN is not an endophenotype for psychotic BPD whereas P300 amplitude and latency components are valid endophenotypes for psychotic BPD.
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MESH Headings
- Acoustic Stimulation
- Adult
- Bipolar Disorder/diagnosis
- Bipolar Disorder/genetics
- Bipolar Disorder/physiopathology
- Bipolar Disorder/psychology
- Cerebral Cortex/physiopathology
- Cohort Studies
- Contingent Negative Variation/genetics
- Diseases in Twins/diagnosis
- Diseases in Twins/genetics
- Diseases in Twins/physiopathology
- Diseases in Twins/psychology
- Dominance, Cerebral/genetics
- Dominance, Cerebral/physiology
- Electrocardiography
- England
- Event-Related Potentials, P300/genetics
- Event-Related Potentials, P300/physiology
- Evoked Potentials, Auditory/genetics
- Evoked Potentials, Auditory/physiology
- Female
- Humans
- Male
- Middle Aged
- Models, Genetic
- Phenotype
- Psychiatric Status Rating Scales
- Reaction Time/genetics
- Reaction Time/physiology
- Signal Processing, Computer-Assisted
- Social Environment
- Statistics as Topic
- Twins, Dizygotic/genetics
- Twins, Dizygotic/psychology
- Twins, Monozygotic/genetics
- Twins, Monozygotic/psychology
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Affiliation(s)
- M-H Hall
- Psychology Research Laboratory, Harvard Medical School, McLean Hospital, 115 Mill Street, Belmont, MA 02478, USA.
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25
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Constante M, Shaikh M, Williams I, Murray R, Bramon E. Induced Gamma Band Deficits in Early Psychosis. Eur Psychiatry 2009. [DOI: 10.1016/s0924-9338(09)71360-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
Objective:Abnormalities in event related potentials (ERPs) have long been looked at as markers of disease in Schizophrenia. Over recent years there is a trend in the field to move from averaged trials ERPs analysis in the time-voltage domain, to time-frequency single trials analysis. Oscillations in the Gamma band (30-50Hz) have received particular attention in the context of the theories of core deficits in neuronal synchronization in Schizophrenia. in this study we aimed at replicating previously found Gamma band deficits in a sample of Early Psychosis patients.Methods:EEG was collected from 15 patients and 15 age matched controls using an auditory oddball paradigm. Time-frequency analysis in the Gamma band was performed using a Morlet wavelet transform. We tested differences between the groups using the Wilcoxon rank sum test, given the nonparametric nature of the data, to compare each group's average single trial Gamma power, maximizing the signal-to-noise ratio.Results:Patients with Early Psychosis showed, following target tones, a reduction in the total power of Gamma band activation (p< 0.01) as well as in induced Gamma band activation (p< 0.01). This was observed in a late latency interval at 400-500ms. the late burst of Gamma activity was not found in the frequent condition, for neither subjects group.Conclusion:The findings are compatible with previous studies suggesting deficits in the late intrinsically generated cognitive processing of auditory stimuli in Schizophrenia, already present in its early stage. They add further evidence of deficits in neuronal synchronisation in the early stages of psychotic disorders.
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Broome M, Matthiasson P, Fusar-Poli P, Woolley J, Johns L, Tabraham P, Bramon E, Valmaggia L, Williams S, Brammer M, Chitnis X, McGuire P. Neural correlates of executive function and working memory in the ‘at risk mental state’. Eur Psychiatry 2007. [DOI: 10.1016/j.eurpsy.2007.01.118] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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27
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Abstract
The debate as to whether schizophrenia is a neurodevelopmental or a neurodegenerative disorder has its roots in the latter part of the 19th century when authorities such as Clouston (1891) posited that at least some insanities were "developmental" in origin. These views were soon eclipsed by Kraepelin's (1896) concept of dementia praecox as a degenerative disease, and the latter view carried not only the day but also much of the 20th century. Then, in the 1980s several research groups again began to speculate that schizophrenia might have a significant developmental component (Feinberg, 1982-1983; Schulsinger et al., 1984; Murray et al., 1985; Murray and Lewis, 1987; Weinberger et al., 1987). What became known as the "neurodevelopmental hypothesis" received support from neuropathological studies implicating anomalies in early brain development such as aberrant migration of neurons. Unfortunately, these studies proved difficult, if not impossible, to replicate (Harrison, 1999). The pendulum, therefore, began to swing again, and in the latter part of the 1990s came renewed claims that the clinical progression of the illness was accompanied by continued cerebral ventricular enlargement and reduction in the volumes of certain brain structures. Nevertheless, since few doubt that there is a developmental component to schizophrenia, the question which we will address in this paper is whether schizophrenia is a) simply the final consequence of a cascade of increasing developmental deviance (Bramon et al., 2001), or b) whether there is an additional brain degeneration following onset of psychosis which is superimposed on the developmental impairment (Lieberman, 1999).
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Affiliation(s)
- S M Church
- Department of Psychological Medicine, Institute of Psychiatry, De Crespigny Park, London, United Kingdom.
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28
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Abstract
Current psychiatric nosology, strongly influenced by Kraepelin's dichotomy, classifies schizophrenia and bipolar disorder as separate diagnostic categories. However, growing evidence indicates that the two disorders may be more closely related than was thought in the past. Bipolar disorder and schizophrenia display considerable overlap in epidemiologic features; no risk factor is known to be specific to either. Furthermore, family studies reveal familial co-aggregation of the two disorders, and twin studies suggest a significant overlap in the genes contributing to schizophrenia, schizoaffective disorder, and mania. Finally, despite the difficulties in the identification of convincing genetic loci for psychiatric disorders, there are at least four genomic regions in which linkage has been shown for both schizophrenia and bipolar disorder. Thus, recent evidence increasingly supports a dimensional approach in the understanding of the functional psychoses, and this is expected to have implications for etiologic research and future clinical treatment.
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Affiliation(s)
- E Bramon
- Division of Psychological Medicine and Social Genetic Developmental Psychiatry Research Centre, Institute of Psychiatry, De Crespigny Park, London SE5 8AF, United Kingdom
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29
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Abstract
BACKGROUND Disgust is a basic emotion that has been relatively neglected in psychiatry in general and in eating disorders in particular. Nevertheless, there are features of disgust and its more complex derivatives (e.g., shame) which suggest that disgust may have a role to play in eating disorders. METHOD Seventy-four patients with a DSM-IV diagnosis of anorexia nervosa, bulimia nervosa, eating disorder not otherwise specified, and obese binge eater were compared with 15 control subjects on their levels of disgust sensitivity. RESULTS Overall, eating disorder patients did not appear to be more sensitive to disgust-eliciting stimuli than comparison subjects, although there was a tendency for patients to be more disgusted by body products. However, drive for thinness and bulimia scores were related to higher levels of disgust sensitivity to food, death, and magical contagion. General psychopathology did not appear to be related to levels of disgust sensitivity. DISCUSSION Although patients are not more sensitive than controls to the disgust-eliciting stimuli measured, disgust still has a positive relationship to eating disorder symptoms. Future studies will need to examine more precisely what this relationship might be.
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Affiliation(s)
- N A Troop
- Eating Disorders Unit, Institute of Psychiatry, London, United
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