1
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Jameei H, Rakesh D, Zalesky A, Cairns MJ, Reay WR, Wray NR, Di Biase MA. Linking Polygenic Risk of Schizophrenia to Variation in Magnetic Resonance Imaging Brain Measures: A Comprehensive Systematic Review. Schizophr Bull 2024; 50:32-46. [PMID: 37354489 PMCID: PMC10754175 DOI: 10.1093/schbul/sbad087] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/26/2023]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia is highly heritable, with a polygenic effect of many genes conferring risk. Evidence on whether cumulative risk also predicts alterations in brain morphology and function is inconsistent. This systematic review examined evidence for schizophrenia polygenic risk score (sczPRS) associations with commonly used magnetic resonance imaging (MRI) measures. We expected consistent evidence to emerge for significant sczPRS associations with variation in structure and function, specifically in frontal, temporal, and insula cortices that are commonly implicated in schizophrenia pathophysiology. STUDY DESIGN In accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched MEDLINE, Embase, and PsycINFO for peer-reviewed studies published between January 2013 and March 2022. Studies were screened against predetermined criteria and National Institutes of Health (NIH) quality assessment tools. STUDY RESULTS In total, 57 studies of T1-weighted structural, diffusion, and functional MRI were included (age range = 9-80 years, Nrange = 64-76 644). We observed moderate, albeit preliminary, evidence for higher sczPRS predicting global reductions in cortical thickness and widespread variation in functional connectivity, and to a lesser extent, region-specific reductions in frontal and temporal volume and thickness. Conversely, sczPRS does not predict whole-brain surface area or gray/white matter volume. Limited evidence emerged for sczPRS associations with diffusion tensor measures of white matter microstructure in a large community sample and smaller cohorts of children and young adults. These findings were broadly consistent across community and clinical populations. CONCLUSIONS Our review supports the hypothesis that schizophrenia is a disorder of disrupted within and between-region brain connectivity, and points to specific whole-brain and regional MRI metrics that may provide useful intermediate phenotypes.
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Affiliation(s)
- Hadis Jameei
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Divyangana Rakesh
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
- Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, VIC, Australia
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Newcastle, NSW, Australia
- Precision Medicine Research Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - William R Reay
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Newcastle, NSW, Australia
- Precision Medicine Research Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Maria A Di Biase
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
- Department of Anatomy and Physiology, School of Biomedical Sciences, The University of Melbourne, VIC, Australia
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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2
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Dong D, Wang Y, Zhou F, Chang X, Qiu J, Feng T, He Q, Lei X, Chen H. Functional Connectome Hierarchy in Schizotypy and Its Associations With Expression of Schizophrenia-Related Genes. Schizophr Bull 2023:sbad179. [PMID: 38156676 DOI: 10.1093/schbul/sbad179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
BACKGROUND AND HYPOTHESIS Schizotypy has been conceptualized as a continuum of symptoms with marked genetic, neurobiological, and sensory-cognitive overlaps to schizophrenia. Hierarchical organization represents a general organizing principle for both the cortical connectome supporting sensation-to-cognition continuum and gene expression variability across the cortex. However, a mapping of connectome hierarchy to schizotypy remains to be established. Importantly, the underlying changes of the cortical connectome hierarchy that mechanistically link gene expressions to schizotypy are unclear. STUDY DESIGN The present study applied novel connectome gradient on resting-state fMRI data from 1013 healthy young adults to investigate schizotypy-associated sensorimotor-to-transmodal connectome hierarchy and assessed its similarity with the connectome hierarchy of schizophrenia. Furthermore, normative and differential postmortem gene expression data were utilized to examine transcriptional profiles linked to schizotypy-associated connectome hierarchy. STUDY RESULTS We found that schizotypy was associated with a compressed functional connectome hierarchy. Moreover, the pattern of schizotypy-related hierarchy exhibited a positive correlation with the connectome hierarchy observed in schizophrenia. This pattern was closely colocated with the expression of schizophrenia-related genes, with the correlated genes being enriched in transsynaptic, receptor signaling and calcium ion binding. CONCLUSIONS The compressed connectome hierarchy suggests diminished functional system differentiation, providing a novel and holistic system-level basis for various sensory-cognition deficits in schizotypy. Importantly, its linkage with schizophrenia-altered hierarchy and schizophrenia-related gene expression yields new insights into the neurobiological continuum of psychosis. It also provides mechanistic insight into how gene variation may drive alterations in functional hierarchy, mediating biological vulnerability of schizotypy to schizophrenia.
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Affiliation(s)
- Debo Dong
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Yulin Wang
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
| | - Feng Zhou
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Xuebin Chang
- Department of Information Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality at Beijing Normal University, Chongqing, China
| | - Tingyong Feng
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing, China
| | - Qinghua He
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality at Beijing Normal University, Chongqing, China
| | - Xu Lei
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
| | - Hong Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
- Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing, China
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3
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Zouraraki C, Karamaouna P, Giakoumaki SG. Cognitive Processes and Resting-State Functional Neuroimaging Findings in High Schizotypal Individuals and Schizotypal Personality Disorder Patients: A Systematic Review. Brain Sci 2023; 13:brainsci13040615. [PMID: 37190580 DOI: 10.3390/brainsci13040615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/29/2023] [Accepted: 04/02/2023] [Indexed: 04/07/2023] Open
Abstract
Ample research findings indicate that there is altered brain functioning in the schizophrenia spectrum. Nevertheless, functional neuroimaging findings remain ambiguous for healthy individuals expressing high schizotypal traits and patients with schizotypal personality disorder (SPD). The purpose of this systematic review was to identify patterns of task-related and resting-state neural abnormalities across these conditions. MEDLINE-PubMed and PsycINFO were systematically searched and forty-eight studies were selected. Forty studies assessed healthy individuals with high schizotypal traits and eight studies examined SPD patients with functional neuroimaging techniques (fNIRS; fMRI; Resting-state fMRI). Functional alterations in striatal, frontal and temporal regions were found in healthy individuals with high schizotypal traits. Schizotypal personality disorder was associated with default mode network abnormalities but further research is required in order to better conceive its neural correlates. There was also evidence for functional compensatory mechanisms associated with both conditions. To conclude, the findings suggest that brain dysfunctions are evident in individuals who lie along the subclinical part of the spectrum, further supporting the continuum model for schizophrenia susceptibility. Additional research is required in order to delineate the counterbalancing processes implicated in the schizophrenia spectrum, as this approach will provide promising insights for both conversion and protection from conversion into schizophrenia.
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Affiliation(s)
- Chrysoula Zouraraki
- Laboratory of Neuropsychology, Department of Psychology, University of Crete, 74100 Rethymno, Greece
- University of Crete Research Center for the Humanities, The Social and Education Sciences (UCRC), University of Crete, Gallos University Campus, 74100 Rethymno, Greece
| | - Penny Karamaouna
- Laboratory of Neuropsychology, Department of Psychology, University of Crete, 74100 Rethymno, Greece
- University of Crete Research Center for the Humanities, The Social and Education Sciences (UCRC), University of Crete, Gallos University Campus, 74100 Rethymno, Greece
| | - Stella G. Giakoumaki
- Laboratory of Neuropsychology, Department of Psychology, University of Crete, 74100 Rethymno, Greece
- University of Crete Research Center for the Humanities, The Social and Education Sciences (UCRC), University of Crete, Gallos University Campus, 74100 Rethymno, Greece
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4
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Asimakidou E, Job X, Kilteni K. The positive dimension of schizotypy is associated with a reduced attenuation and precision of self-generated touch. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:57. [PMID: 35854009 PMCID: PMC9261081 DOI: 10.1038/s41537-022-00264-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/08/2022] [Indexed: 02/01/2023]
Abstract
The brain predicts the sensory consequences of our movements and uses these predictions to attenuate the perception of self-generated sensations. Accordingly, self-generated touch feels weaker than an externally generated touch of identical intensity. In schizophrenia, this somatosensory attenuation is substantially reduced, suggesting that patients with positive symptoms fail to accurately predict and process self-generated touch. If an impaired prediction underlies the positive symptoms of schizophrenia, then a similar impairment should exist in healthy nonclinical individuals with high positive schizotypal traits. One hundred healthy participants (53 female), assessed for schizotypal traits, underwent a well-established psychophysics force discrimination task to quantify how they perceived self-generated and externally generated touch. The perceived intensity of tactile stimuli delivered to their left index finger (magnitude) and the ability to discriminate the stimuli (precision) was measured. We observed that higher positive schizotypal traits were associated with reduced somatosensory attenuation and poorer somatosensory precision of self-generated touch, both when treating schizotypy as a continuous or categorical variable. These effects were specific to positive schizotypy and were not observed for the negative or disorganized dimensions of schizotypy. The results suggest that positive schizotypal traits are associated with a reduced ability to predict and process self-generated touch. Given that the positive dimension of schizotypy represents the analogue of positive psychotic symptoms of schizophrenia, deficits in processing self-generated tactile information could indicate increased liability to schizophrenia.
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Affiliation(s)
- Evridiki Asimakidou
- Department of Neuroscience, Karolinska Institutet, Solnavägen 9, 17165, Stockholm, Sweden
| | - Xavier Job
- Department of Neuroscience, Karolinska Institutet, Solnavägen 9, 17165, Stockholm, Sweden
| | - Konstantina Kilteni
- Department of Neuroscience, Karolinska Institutet, Solnavägen 9, 17165, Stockholm, Sweden.
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5
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Kirschner M, Hodzic-Santor B, Antoniades M, Nenadic I, Kircher T, Krug A, Meller T, Grotegerd D, Fornito A, Arnatkeviciute A, Bellgrove MA, Tiego J, Dannlowski U, Koch K, Hülsmann C, Kugel H, Enneking V, Klug M, Leehr EJ, Böhnlein J, Gruber M, Mehler D, DeRosse P, Moyett A, Baune BT, Green M, Quidé Y, Pantelis C, Chan R, Wang Y, Ettinger U, Debbané M, Derome M, Gaser C, Besteher B, Diederen K, Spencer TJ, Fletcher P, Rössler W, Smigielski L, Kumari V, Premkumar P, Park HRP, Wiebels K, Lemmers-Jansen I, Gilleen J, Allen P, Kozhuharova P, Marsman JB, Lebedeva I, Tomyshev A, Mukhorina A, Kaiser S, Fett AK, Sommer I, Schuite-Koops S, Paquola C, Larivière S, Bernhardt B, Dagher A, Grant P, van Erp TGM, Turner JA, Thompson PM, Aleman A, Modinos G. Cortical and subcortical neuroanatomical signatures of schizotypy in 3004 individuals assessed in a worldwide ENIGMA study. Mol Psychiatry 2022; 27:1167-1176. [PMID: 34707236 PMCID: PMC9054674 DOI: 10.1038/s41380-021-01359-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 10/02/2021] [Accepted: 10/08/2021] [Indexed: 02/04/2023]
Abstract
Neuroanatomical abnormalities have been reported along a continuum from at-risk stages, including high schizotypy, to early and chronic psychosis. However, a comprehensive neuroanatomical mapping of schizotypy remains to be established. The authors conducted the first large-scale meta-analyses of cortical and subcortical morphometric patterns of schizotypy in healthy individuals, and compared these patterns with neuroanatomical abnormalities observed in major psychiatric disorders. The sample comprised 3004 unmedicated healthy individuals (12-68 years, 46.5% male) from 29 cohorts of the worldwide ENIGMA Schizotypy working group. Cortical and subcortical effect size maps with schizotypy scores were generated using standardized methods. Pattern similarities were assessed between the schizotypy-related cortical and subcortical maps and effect size maps from comparisons of schizophrenia (SZ), bipolar disorder (BD) and major depression (MDD) patients with controls. Thicker right medial orbitofrontal/ventromedial prefrontal cortex (mOFC/vmPFC) was associated with higher schizotypy scores (r = 0.067, pFDR = 0.02). The cortical thickness profile in schizotypy was positively correlated with cortical abnormalities in SZ (r = 0.285, pspin = 0.024), but not BD (r = 0.166, pspin = 0.205) or MDD (r = -0.274, pspin = 0.073). The schizotypy-related subcortical volume pattern was negatively correlated with subcortical abnormalities in SZ (rho = -0.690, pspin = 0.006), BD (rho = -0.672, pspin = 0.009), and MDD (rho = -0.692, pspin = 0.004). Comprehensive mapping of schizotypy-related brain morphometry in the general population revealed a significant relationship between higher schizotypy and thicker mOFC/vmPFC, in the absence of confounding effects due to antipsychotic medication or disease chronicity. The cortical pattern similarity between schizotypy and schizophrenia yields new insights into a dimensional neurobiological continuity across the extended psychosis phenotype.
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Affiliation(s)
- Matthias Kirschner
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada ,grid.7400.30000 0004 1937 0650Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Benazir Hodzic-Santor
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada
| | - Mathilde Antoniades
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK
| | - Igor Nenadic
- grid.10253.350000 0004 1936 9756University of Marburg, Marburg, Germany
| | - Tilo Kircher
- grid.10253.350000 0004 1936 9756University of Marburg, Marburg, Germany
| | - Axel Krug
- grid.10253.350000 0004 1936 9756University of Marburg, Marburg, Germany ,grid.10388.320000 0001 2240 3300Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Tina Meller
- grid.10253.350000 0004 1936 9756University of Marburg, Marburg, Germany
| | - Dominik Grotegerd
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Alex Fornito
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, VIC Australia
| | - Aurina Arnatkeviciute
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, VIC Australia
| | - Mark A. Bellgrove
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, VIC Australia
| | - Jeggan Tiego
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, VIC Australia
| | - Udo Dannlowski
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Koch
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Carina Hülsmann
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Harald Kugel
- grid.5949.10000 0001 2172 9288University Clinic for Radiology, University of Münster, Münster, Germany
| | - Verena Enneking
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Melissa Klug
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Elisabeth J. Leehr
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Joscha Böhnlein
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Marius Gruber
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - David Mehler
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Pamela DeRosse
- grid.416477.70000 0001 2168 3646Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY USA ,grid.250903.d0000 0000 9566 0634The Feinstein Institutes for Medical Research, Center for Psychiatric Neuroscience, Manhasset, NY USA ,grid.512756.20000 0004 0370 4759Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY USA
| | - Ashley Moyett
- grid.416477.70000 0001 2168 3646Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY USA
| | - Bernhard T. Baune
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany ,grid.1008.90000 0001 2179 088XDepartment of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, VIC Australia
| | - Melissa Green
- grid.1005.40000 0004 4902 0432School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW Australia ,grid.250407.40000 0000 8900 8842Neuroscience Research Australia (NeuRA), Randwick, NSW Australia
| | - Yann Quidé
- grid.1005.40000 0004 4902 0432School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW Australia ,grid.250407.40000 0000 8900 8842Neuroscience Research Australia (NeuRA), Randwick, NSW Australia
| | - Christos Pantelis
- grid.1008.90000 0001 2179 088XMelbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, VIC Australia
| | - Raymond Chan
- grid.9227.e0000000119573309Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Yi Wang
- grid.9227.e0000000119573309Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Ulrich Ettinger
- grid.10388.320000 0001 2240 3300University of Bonn, Bonn, Germany
| | - Martin Debbané
- grid.8591.50000 0001 2322 4988University of Geneva, Geneva, Switzerland
| | - Melodie Derome
- grid.8591.50000 0001 2322 4988University of Geneva, Geneva, Switzerland
| | - Christian Gaser
- grid.275559.90000 0000 8517 6224Jena University Hospital, Jena, Germany
| | - Bianca Besteher
- grid.275559.90000 0000 8517 6224Jena University Hospital, Jena, Germany
| | - Kelly Diederen
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK
| | - Tom J. Spencer
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK
| | - Paul Fletcher
- grid.5335.00000000121885934Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Wulf Rössler
- grid.412004.30000 0004 0478 9977Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland ,grid.6363.00000 0001 2218 4662Department of Psychiatry and Psychotherapy, Charité University Medicine, Berlin, Germany ,grid.11899.380000 0004 1937 0722Institute of Psychiatry, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Lukasz Smigielski
- grid.412004.30000 0004 0478 9977Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Veena Kumari
- grid.7728.a0000 0001 0724 6933Brunel University London, Uxbridge, UK
| | - Preethi Premkumar
- grid.7728.a0000 0001 0724 6933Brunel University London, Uxbridge, UK
| | - Haeme R. P. Park
- grid.9654.e0000 0004 0372 3343School of Psychology, University of Auckland, Auckland, New Zealand
| | - Kristina Wiebels
- grid.9654.e0000 0004 0372 3343School of Psychology, University of Auckland, Auckland, New Zealand
| | | | - James Gilleen
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK ,grid.35349.380000 0001 0468 7274University of Roehampton, London, UK
| | - Paul Allen
- grid.35349.380000 0001 0468 7274University of Roehampton, London, UK
| | - Petya Kozhuharova
- grid.35349.380000 0001 0468 7274University of Roehampton, London, UK
| | - Jan-Bernard Marsman
- grid.4830.f0000 0004 0407 1981Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Irina Lebedeva
- grid.466467.10000 0004 0627 319XMental Health Research Center, Moscow, Russian Federation
| | - Alexander Tomyshev
- grid.466467.10000 0004 0627 319XMental Health Research Center, Moscow, Russian Federation
| | - Anna Mukhorina
- grid.466467.10000 0004 0627 319XMental Health Research Center, Moscow, Russian Federation
| | - Stefan Kaiser
- grid.150338.c0000 0001 0721 9812Department of Psychiatry, Geneva University Hospital, Geneva, Switzerland
| | - Anne-Kathrin Fett
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK ,grid.28577.3f0000 0004 1936 8497City, University London, London, UK
| | - Iris Sommer
- grid.4830.f0000 0004 0407 1981Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sanne Schuite-Koops
- grid.4830.f0000 0004 0407 1981Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Casey Paquola
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada
| | - Sara Larivière
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada
| | - Boris Bernhardt
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada
| | - Alain Dagher
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada
| | - Phillip Grant
- grid.440934.e0000 0004 0593 1824Fresenius University of Applied Sciences, Frankfurt am Main, Germany
| | - Theo G. M. van Erp
- grid.266093.80000 0001 0668 7243Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA USA ,grid.266093.80000 0001 0668 7243Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA USA
| | - Jessica A. Turner
- grid.256304.60000 0004 1936 7400Imaging Genetics and Neuroinformatics Lab, Georgia State University, Atlanta, GA USA
| | - Paul M. Thompson
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - André Aleman
- grid.4830.f0000 0004 0407 1981Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Gemma Modinos
- Department of Psychosis Studies, King's College London, London, UK. .,MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK.
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6
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Liloia D, Brasso C, Cauda F, Mancuso L, Nani A, Manuello J, Costa T, Duca S, Rocca P. Updating and characterizing neuroanatomical markers in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate-based meta-analysis. Neurosci Biobehav Rev 2021; 123:83-103. [PMID: 33497790 DOI: 10.1016/j.neubiorev.2021.01.010] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 01/07/2021] [Accepted: 01/15/2021] [Indexed: 01/10/2023]
Abstract
Characterizing neuroanatomical markers of different stages of schizophrenia (SZ) to assess pathophysiological models of how the disorder develops is an important target for the clinical practice. We performed a meta-analysis of voxel-based morphometry studies of genetic and clinical high-risk subjects (g-/c-HR), recently diagnosed (RDSZ) and chronic SZ patients (ChSZ). We quantified gray matter (GM) changes associated with these four conditions and compared them with contrast and conjunctional data. We performed the behavioral analysis and networks decomposition of alterations to obtain their functional characterization. Results reveal a cortical-subcortical, left-to-right homotopic progression of GM loss. The right anterior cingulate is the only altered region found altered among c-HR, RDSZ and ChSZ. Contrast analyses show left-lateralized insular, amygdalar and parahippocampal GM reduction in RDSZ, which appears bilateral in ChSZ. Functional decomposition shows involvement of the salience network, with an enlargement of the sensorimotor network in RDSZ and the thalamus-basal nuclei network in ChSZ. These findings support the current neuroprogressive models of SZ and integrate this deterioration with the clinical evolution of the disease.
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Affiliation(s)
- Donato Liloia
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Claudio Brasso
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
| | - Franco Cauda
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
| | - Lorenzo Mancuso
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Andrea Nani
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Jordi Manuello
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Tommaso Costa
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Paola Rocca
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
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7
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Attademo L, Bernardini F, Verdolini N. Neural Correlates of Schizotypal Personality Disorder: a Systematic Review of Neuroimaging and EEG Studies. Curr Med Imaging 2021; 17:1283-1298. [PMID: 33459241 DOI: 10.2174/1573405617666210114142206] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 10/20/2020] [Accepted: 11/12/2020] [Indexed: 01/22/2023]
Abstract
BACKGROUND Schizotypal personality disorder (SPD) is a cluster A personality disorder affecting 1.0% of general population, characterised by disturbances in cognition and reality testing dimensions, affect regulation, and interpersonal function. SPD shares similar but attenuated phenomenological, genetic, and neurobiological abnormalities with schizophrenia (SCZ) and is described as part of schizophrenia spectrum disorders. OBJECTIVE Aim of this work was to identify the major neural correlates of SPD. METHODS This is a systematic review conducted according to PRISMA statement. The protocol was prospectively registered in PROSPERO - International prospective register of systematic reviews. The review was performed to summarise the most comprehensive and updated evidence on functional neuroimaging and neurophysiology findings obtained through different techniques (DW-MRI, DTI, PET, SPECT, fMRI, MRS, EEG) in individuals with SPD. RESULTS Of the 52 studies included in this review, 9 were on DW-MRI and DTI, 11 were on PET and SPECT, 11 were on fMRI and MRS, and 21 were on EEG. It was complex to synthesise all the functional abnormalities found into a single, unified, pathogenetic pathway, but a common theme emerged: the dysfunction of brain circuits including striatal, frontal, temporal, limbic regions (and their networks) together with a dysregulation along the dopaminergic pathways. CONCLUSION Brain abnormalities in SPD are similar, but less marked, than those found in SCZ. Furthermore, different patterns of functional abnormalities in SPD and SCZ have been found, confirming the previous literature on the 'presence' of possible compensatory factors, protecting individuals with SPD from frank psychosis and providing diagnostic specificity.
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Affiliation(s)
- Luigi Attademo
- Hospital Psychiatric Service for Diagnosis and Care (S.P.D.C.) of Potenza, Department of Mental Health, ASP Basilicata, Italian National Health Service, Potenza. Italy
| | - Francesco Bernardini
- Hospital Psychiatric Service for Diagnosis and Care (S.P.D.C.) of Pordenone, Department of Mental Health, AsFO Friuli Occidentale, Italian National Health Service, Pordenone. Italy
| | - Norma Verdolini
- Barcelona Bipolar Disorders Program, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel st., Barcelona, Catalunya. Spain
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8
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Takahashi T, Sasabayashi D, Takayanagi Y, Furuichi A, Kido M, Pham TV, Kobayashi H, Noguchi K, Suzuki M. Increased Heschl's Gyrus Duplication in Schizophrenia Spectrum Disorders: A Cross-Sectional MRI Study. J Pers Med 2021; 11:40. [PMID: 33445715 PMCID: PMC7828168 DOI: 10.3390/jpm11010040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/08/2021] [Accepted: 01/09/2021] [Indexed: 11/17/2022] Open
Abstract
Duplicated Heschl's gyrus (HG) is prevalent in patients with schizophrenia and may reflect early neurodevelopmental anomalies. However, it currently remains unclear whether patients with schizotypal disorder, a prototypic disorder within the schizophrenia spectrum, exhibit a similar HG gyrification pattern. In this magnetic resonance imaging study, HG gyrification patterns were examined in 47 patients with schizotypal disorder, 111 with schizophrenia, and 88 age- and sex-matched healthy subjects. HG gyrification patterns were classified as single, common stem duplication (CSD), or complete posterior duplication (CPD). The prevalence of the duplicated HG patterns (CSD or CPD) bilaterally was higher in the schizophrenia and schizotypal groups than in healthy controls, whereas no significant difference was observed between the schizophrenia and schizotypal groups. Schizophrenia patients with the right CPD pattern had less severe positive symptoms, whereas the right single HG pattern was associated with higher doses of antipsychotic medication in schizotypal patients. The present study demonstrated shared HG gyrification patterns in schizophrenia spectrum disorders, which may reflect a common biological vulnerability factor. HG patterns may also be associated with susceptibility to psychopathology.
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Affiliation(s)
- Tsutomu Takahashi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Arisawabashi Hospital, Toyama 939-2704, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Tien Viet Pham
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Haruko Kobayashi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Kyo Noguchi
- Department of Radiology, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan;
| | - Michio Suzuki
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
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9
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Kirschner M, Schmidt A, Hodzic-Santor B, Burrer A, Manoliu A, Zeighami Y, Yau Y, Abbasi N, Maatz A, Habermeyer B, Abivardi A, Avram M, Brandl F, Sorg C, Homan P, Riecher-Rössler A, Borgwardt S, Seifritz E, Dagher A, Kaiser S. Orbitofrontal-Striatal Structural Alterations Linked to Negative Symptoms at Different Stages of the Schizophrenia Spectrum. Schizophr Bull 2020; 47:849-863. [PMID: 33257954 PMCID: PMC8084448 DOI: 10.1093/schbul/sbaa169] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Negative symptoms such as anhedonia and apathy are among the most debilitating manifestations of schizophrenia (SZ). Imaging studies have linked these symptoms to morphometric abnormalities in 2 brain regions implicated in reward and motivation: the orbitofrontal cortex (OFC) and striatum. Higher negative symptoms are generally associated with reduced OFC thickness, while higher apathy specifically maps to reduced striatal volume. However, it remains unclear whether these tissue losses are a consequence of chronic illness and its treatment or an underlying phenotypic trait. Here, we use multicentre magnetic resonance imaging data to investigate orbitofrontal-striatal abnormalities across the SZ spectrum from healthy populations with high schizotypy to unmedicated and medicated first-episode psychosis (FEP), and patients with chronic SZ. Putamen, caudate, accumbens volume, and OFC thickness were estimated from T1-weighted images acquired in all 3 diagnostic groups and controls from 4 sites (n = 337). Results were first established in 1 discovery dataset and replicated in 3 independent samples. There was a negative correlation between apathy and putamen/accumbens volume only in healthy individuals with schizotypy; however, medicated patients exhibited larger putamen volume, which appears to be a consequence of antipsychotic medications. The negative association between reduced OFC thickness and total negative symptoms also appeared to vary along the SZ spectrum, being significant only in FEP patients. In schizotypy, there was increased OFC thickness relative to controls. Our findings suggest that negative symptoms are associated with a temporal continuum of orbitofrontal-striatal abnormalities that may predate the occurrence of SZ. Thicker OFC in schizotypy may represent either compensatory or pathological mechanisms prior to the disease onset.
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Affiliation(s)
- Matthias Kirschner
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada,Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland,To whom correspondence should be addressed; 3801 Rue University, Montréal QC, H3A 2B4 Canada; tel: +1 514-398-1726, fax: +1 514–398–8948, e-mail:
| | - André Schmidt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | | | - Achim Burrer
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Andrei Manoliu
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland,Wellcome Centre for Human Neuroimaging, University College London, London, UK,Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK
| | - Yashar Zeighami
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Yvonne Yau
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Nooshin Abbasi
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Anke Maatz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | | | - Aslan Abivardi
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Mihai Avram
- Department of Neuroradiology and TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany,Department of Psychiatry, Psychosomatics and Psychotherapy, Schleswig Holstein University Hospital, University Lübeck, Lübeck Germany
| | - Felix Brandl
- Department of Psychiatry and TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Christian Sorg
- Department of Neuroradiology and TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany,Department of Psychiatry and TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Philipp Homan
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY,Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, New York, NY,Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Northwell/Hofstra, Hempstead, NY
| | | | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Stefan Kaiser
- Department of Psychiatry, Division of Adult Psychiatry, Geneva University Hospitals, Geneva, Switzerland
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10
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Kotov R, Jonas KG, Carpenter WT, Dretsch MN, Eaton NR, Forbes MK, Forbush KT, Hobbs K, Reininghaus U, Slade T, South SC, Sunderland M, Waszczuk MA, Widiger TA, Wright A, Zald DH, Krueger RF, Watson D. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum. World Psychiatry 2020; 19:151-172. [PMID: 32394571 PMCID: PMC7214958 DOI: 10.1002/wps.20730] [Citation(s) in RCA: 131] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is a scientific effort to address shortcomings of traditional mental disorder diagnoses, which suffer from arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, heterogeneity within disorders, and diagnostic instability. This paper synthesizes evidence on the validity and utility of the thought disorder and detachment spectra of HiTOP. These spectra are composed of symptoms and maladaptive traits currently subsumed within schizophrenia, other psychotic disorders, and schizotypal, paranoid and schizoid personality disorders. Thought disorder ranges from normal reality testing, to maladaptive trait psychoticism, to hallucinations and delusions. Detachment ranges from introversion, to maladaptive detachment, to blunted affect and avolition. Extensive evidence supports the validity of thought disorder and detachment spectra, as each spectrum reflects common genetics, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, biomarkers, and treatment response. Some of these characteristics are specific to one spectrum and others are shared, suggesting the existence of an overarching psychosis superspectrum. Further research is needed to extend this model, such as clarifying whether mania and dissociation belong to thought disorder, and explicating processes that drive development of the spectra and their subdimensions. Compared to traditional diagnoses, the thought disorder and detachment spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and higher acceptability to clinicians. Validated measures are available to implement the system in practice. The more informative, reliable and valid characterization of psychosis-related psychopathology offered by HiTOP can make diagnosis more useful for research and clinical care.
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Affiliation(s)
- Roman Kotov
- Department of PsychiatryStony Brook UniversityStony BrookNYUSA
| | | | | | - Michael N. Dretsch
- Walter Reed Army Institute of Research, US Army Medical Research Directorate ‐ WestSilver SpringMDUSA
| | | | | | | | - Kelsey Hobbs
- Department of PsychologyUniversity of MinnesotaMinneapolisMNUSA
| | - Ulrich Reininghaus
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty MannheimUniversity of HeidelbergGermany,ESRC Centre for Society and Mental HealthKing's College LondonLondonUK,Centre for Epidemiology and Public HealthInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
| | - Tim Slade
- Matilda Centre for Research in Mental Health and Substance AbuseUniversity of SydneySydneyNSWAustralia
| | - Susan C. South
- Department of Psychological SciencesPurdue UniversityWest LafayetteINUSA
| | - Matthew Sunderland
- Matilda Centre for Research in Mental Health and Substance AbuseUniversity of SydneySydneyNSWAustralia
| | | | | | | | - David H. Zald
- Department of PsychologyVanderbilt UniversityNashvilleTNUSA
| | | | - David Watson
- Department of PsychologyUniversity of Notre DameSouth BendINUSA
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11
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Derome M, Zöller D, Modinos G, Schaer M, Eliez S, Debbané M. Developmental trajectories of subcortical structures in relation to dimensional schizotypy expression along adolescence. Schizophr Res 2020; 218:76-84. [PMID: 32081537 DOI: 10.1016/j.schres.2020.02.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 02/09/2020] [Accepted: 02/09/2020] [Indexed: 12/31/2022]
Abstract
Morphological abnormalities of subcortical structures have been consistently reported along the schizophrenia clinical spectrum, and they may play an important role in the pathophysiology of psychosis. However, the question arises whether these subcortical features are consequences of medication and illness chronicity, or if they contribute to the vulnerability to develop schizophrenia spectrum disorders. If some of the subcortical abnormalities could be evidenced in community adolescents expressing higher schizotypal traits (psychometric schizotypy), they could potentially shed light on vulnerability markers. To date, very few studies have examined the link between psychometric schizotypy and volumes of subcortical regions, and none of them have used a longitudinal design. This study sets out to investigate developmental trajectories of subcortical volumes in 110 community adolescents (12 to 20 years old), for whom MRI-scans were acquired over a period of 5 years, reaching a total of 297 scans. Analyses were conducted using Freesurfer, and schizotypal traits were measured with the Schizotypal Personality Questionnaire (SPQ). Using mixed model regression analyses following a region-of-interest approach, we observed differential linear developmental trajectories in four subcortical structures when comparing higher versus lower scorers on the disorganized schizotypy dimension (bilateral hippocampus, left-lateral ventricle and left-pallidum) and the negative schizotypy dimension (bilateral pallidum, and right-thalamus). All results survived a threshold of p < .05 (FDR-corrected) while covarying for the effect of other psychological problems (externalized and internalized psychopathology). These results indicate that expression of higher levels of negative and disorganized schizotypy during adolescence was associated with neural markers linking schizotypy personality features to schizophrenia spectrum disorders.
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Affiliation(s)
- Mélodie Derome
- Developmental Clinical Psychology Research Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland; Developmental Neuroimaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva, Switzerland.
| | - Daniela Zöller
- Developmental Neuroimaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva, Switzerland; Medical Image Processing Lab, Institute of Bioengineering, EPFL, Lausanne, Switzerland; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.
| | - Gemma Modinos
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK.
| | - Marie Schaer
- Developmental Neuroimaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva, Switzerland.
| | - Stephan Eliez
- Developmental Neuroimaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva, Switzerland; Department of Genetic Medicine and Development, School of Medicine, University of Geneva, Switzerland.
| | - Martin Debbané
- Developmental Clinical Psychology Research Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland; Developmental Neuroimaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva, Switzerland; Research Department of Clinical, Educational & Health Psychology, University College London, United Kingdom.
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12
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Personality profile of the primary blepharospasm (BSP): An investigation using the Minnesota Multiphasic Personality Inventory. Neurosci Lett 2020; 722:134821. [PMID: 32035164 DOI: 10.1016/j.neulet.2020.134821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 01/29/2020] [Accepted: 02/04/2020] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To explore whether patients with blepharospasm (BSP) have abnormal personality traits by the Minnesota Multiphasic Personality Inventory (MMPI) questionnaire. METHOD The personality profiles of patients with BSP and its relationship with clinical characteristics were assessed in this research. 46 patients with BSP and 33 age-and-gender matched healthy controls were assessed using the MMPI questionnaire. The scores of three validity scales and ten clinical scales were calculated and compared. Then the relationship between those scales and clinical characteristics of patients with BSP was analyzed in the BSP group. RESULTS It was found that patients with BSP scored significantly higher than healthy controls on the D, Hy, Pt clinical scales. The peak values of profiles were Hy, D, Hs scale scores. However, there was no statistical relationship between the clinical scales of MMPI and the clinical characteristics of BSP after Bonferroni Correction. CONCLUSION The findings indicated that MMPI could be a useful psychometric tool to characterize a specific pattern of the personality of BSP patients and BSP patients may have avoidant and somatization personality characteristics.
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13
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Wang Y, Harding IH, Testa R, Tonge B, Jones H, Seal M, Ross N, Chan RCK, van Beurden F, Abu-Akel A, Skafidas E, Pantelis C. Structural and functional brain abnormalities in children with schizotypal disorder: a pilot study. NPJ SCHIZOPHRENIA 2020; 6:6. [PMID: 32188859 PMCID: PMC7080771 DOI: 10.1038/s41537-020-0095-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 01/24/2020] [Indexed: 11/24/2022]
Abstract
Schizotypal disorder lies in the schizophrenia spectrum and is widely studied in adult populations. Schizotypal disorder in children (SDc) is less well described. This study examined brain morphological and functional connectivity abnormalities in SDc (12 SDc and 9 typically developing children), focusing on the default mode and executive control brain networks. Results indicated that SDc is associated with reduced grey matter volume (GMV) in superior and medial frontal gyri, and increased resting-state functional connectivity between the superior frontal gyrus and inferior parietal lobule, compared to typically developing children (cluster-level FWE-corrected p < 0.05). The brain structure abnormality (GMV in left superior frontal gyrus) was correlated with clinical symptoms in SDc (r = −0.66, p = 0.026) and functional connectivity abnormality was correlated with extra-dimensional shifting impairments in all participants (r = 0.62, p = 0.011), suggesting their contribution to the underlying mechanisms of clinical presentation. These preliminary results motivate further work to characterize the neural basis of SDc and its significance as a risk factor for later psychosis.
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Affiliation(s)
- Ya Wang
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Carlton South, VIC, Australia.,Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
| | - Ian H Harding
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Carlton South, VIC, Australia.,Turner Institute for Brain and Mental Health & School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Renee Testa
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Carlton South, VIC, Australia.,School of Psychological Sciences, Monash University, Clayton, VIC, Australia.,The Child and Adolescent Neuropsychology Group, East Melbourne, VIC, Australia.,Mental Health Department, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Bruce Tonge
- Centre for Developmental Psychiatry and Psychology, School of Clinical Sciences, Monash University, Clayton, VIC, Australia
| | - Harvey Jones
- Department of Psychology, Epworth HealthCare, Richmond, VIC, Australia
| | - Marc Seal
- Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Nola Ross
- The Child and Adolescent Neuropsychology Group, East Melbourne, VIC, Australia
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
| | - Florian van Beurden
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Carlton South, VIC, Australia
| | - Ahmad Abu-Akel
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland
| | - Efstratios Skafidas
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Carlton South, VIC, Australia.,Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Carlton South, VIC, Australia. .,Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC, Australia. .,Florey Institute for Neurosciences and Mental Health, Parkville, VIC, Australia.
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14
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Takayanagi Y, Sasabayashi D, Takahashi T, Furuichi A, Kido M, Nishikawa Y, Nakamura M, Noguchi K, Suzuki M. Reduced Cortical Thickness in Schizophrenia and Schizotypal Disorder. Schizophr Bull 2020; 46:387-394. [PMID: 31167030 PMCID: PMC7406196 DOI: 10.1093/schbul/sbz051] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Schizotypal disorder is characterized by odd behavior and attenuated forms of schizophrenic features without the manifestation of overt and sustained psychoses. Past studies suggest that schizotypal disorder shares biological and psychological commonalties with schizophrenia. Structural magnetic resonance imaging (MRI) studies have demonstrated both common and distinct regional gray matter changes between schizophrenia and schizotypal disorder. However, no study has compared cortical thickness, which is thought to be a specific indicator of cortical atrophy, between schizophrenia and schizotypal disorder. The subjects consisted of 102 schizophrenia and 46 schizotypal disorder patients who met the International Classification of Diseases, 10th edition criteria and 79 gender- and age-matched healthy controls. Each participant underwent a T1-weighted 3-D MRI scan using a 1.5-Tesla scanner. Cortical thickness was estimated using FreeSurfer. Consistent with previous studies, schizophrenia patients exhibited wide-spread cortical thinning predominantly in the frontal and temporal regions as compared with healthy subjects. Patients with schizotypal disorder had a significantly reduced cortical thickness in the left fusiform and parahippocampal gyri, right medial superior frontal gyrus, right inferior frontal gyrus, and right medial orbitofrontal cortex as compared with healthy controls. Schizophrenia patients had thinner cortices in the left precentral and paracentral gyri than those with schizotypal disorder. Common cortical thinning patterns observed in schizophrenia and schizotypal disorder patients may be associated with vulnerability to psychosis. Our results also suggest that distinct cortical changes in schizophrenia and schizotypal disorder may be associated with the differences in the manifestation of clinical symptoms among these disorders.
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Affiliation(s)
- Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Sugitani, Toyama, Japan,To whom correspondence should be addressed; tel: +81-76-434-7323, fax: +81-76-434-5030, e-mail:
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Sugitani, Toyama, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Sugitani, Toyama, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Sugitani, Toyama, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Sugitani, Toyama, Japan
| | - Yumiko Nishikawa
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Sugitani, Toyama, Japan
| | - Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Sugitani, Toyama, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Sugitani, Toyama, Japan
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15
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Li H, Kéri S. Regional brain volumes in brief psychotic disorder. J Neural Transm (Vienna) 2020; 127:371-378. [PMID: 31955300 PMCID: PMC7096370 DOI: 10.1007/s00702-020-02140-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Accepted: 01/08/2020] [Indexed: 12/03/2022]
Abstract
Brief psychotic disorder (BPD) is a relatively rare representative of psychotic disorders. Structural brain abnormalities in BPD are not known. We compared 30 patients with BPD and 30 matched healthy controls using high-resolution structural T1-weighted magnetic resonance imaging (MRI). We performed cortical/subcortical reconstruction and volumetric segmentation using FreeSurfer v6.0. Results revealed that the caudal/rostral middle frontal cortex, superior frontal cortex, and the frontal pole were significantly smaller in patients with BPD compared to controls. The number of lifetime psychotic episodes negatively correlated with caudal middle frontal and frontal pole volumes. These results indicate structural abnormalities of the frontal cortex in BPD, which are associated with the number of psychotic relapses.
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Affiliation(s)
- Hua Li
- National Institute of Psychiatry and Addictions, Budapest, Hungary
| | - Szabolcs Kéri
- National Institute of Psychiatry and Addictions, Budapest, Hungary. .,Department of Cognitive Science, Budapest University of Technology and Economics, Egry J. str. 1, 1111, Budapest, Hungary. .,Department of Physiology, University of Szeged, Szeged, Hungary.
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16
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Takahashi T, Kido M, Sasabayashi D, Nakamura M, Furuichi A, Takayanagi Y, Noguchi K, Suzuki M. Gray Matter Changes in the Insular Cortex During the Course of the Schizophrenia Spectrum. Front Psychiatry 2020; 11:659. [PMID: 32754066 PMCID: PMC7366364 DOI: 10.3389/fpsyt.2020.00659] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 06/25/2020] [Indexed: 11/17/2022] Open
Abstract
Progressive gray matter reductions in the insular cortex have been reported in the early phases of schizophrenia (Sz); however, the trajectory of these reductions during the course of the illness currently remains unclear. Furthermore, it has not yet been established whether patients with schizotypal (SzTypal) features exhibit progressive changes in the insular cortex. This follow-up magnetic resonance imaging study examined volume changes in the short and long insular cortices (mean inter-scan interval = 2.6 years) of 23 first-episode (FE) and 17 chronic patients with Sz, 14 with SzTypal disorder, and 21 healthy controls. Baseline comparisons revealed smaller insular cortex volumes bilaterally in Sz patients (particularly in the chronic group) than in SzTypal patients and healthy controls. FESz patients showed significantly larger gray matter reductions in the insular cortex over time (left: -3.4%/year; right: -2.9%/year) than those in healthy controls (-0.1%/year for both hemispheres) without the effect of subregion or antipsychotic medication, whereas chronic Sz (left: -1.5%/year; right: -1.6%/year) and SzTypal (left: 0.5%/year; right: -0.6%/year) patients did not. Active atrophy of the right insular cortex during FE correlated with fewer improvements in positive symptoms in the Sz groups, while mild atrophy of the left insular cortex during the chronic phase was associated with the severity of negative symptoms in the follow-up period. The present results support dynamic volumetric changes in the insular cortex being specific to overt Sz among the spectrum disorders examined and their degree and role in symptomatology appear to differ across the illness stages.
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Affiliation(s)
- Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Arisawabashi Hospital, Toyama, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
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17
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Qi S, Gao Q, Shen J, Teng Y, Xie X, Sun Y, Wu J. Multiple Frequency Bands Analysis of Large Scale Intrinsic Brain Networks and Its Application in Schizotypal Personality Disorder. Front Comput Neurosci 2018; 12:64. [PMID: 30123120 PMCID: PMC6085977 DOI: 10.3389/fncom.2018.00064] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 07/17/2018] [Indexed: 01/16/2023] Open
Abstract
The human brain is a complex system composed by several large scale intrinsic networks with distinct functions. The low frequency oscillation (LFO) signal of blood oxygen level dependent (BOLD), measured through resting-state fMRI, reflects the spontaneous neural activity of these networks. We propose to characterize these networks by applying the multiple frequency bands analysis (MFBA) to the LFO time courses (TCs) resulted from the group independent component analysis (ICA). Specifically, seven networks, including the default model network (DMN), dorsal attention network (DAN), control executive network (CEN), salience network, sensorimotor network, visual network and limbic network, are identified. After the power spectral density (PSD) analysis, the amplitude of low frequency fluctuation (ALFF) and the fractional amplitude of low frequency fluctuation (fALFF) is determined in three bands: <0.1 Hz; slow-5; and slow-4. Moreover, the MFBA method is applied to reveal the frequency-dependent alternations of fALFF for seven networks in schizotypal personality disorder (SPD). It is found that seven networks can be divided into three categories: the advanced cognitive networks, primary sensorimotor networks and limbic networks, and their fALFF successively decreases in both slow-4 and slow-5 bands. Comparing to normal control group, the fALFF of DMN, DAN and CEN in SPD tends to be higher in slow-5 band, but lower in slow-4. Higher fALFF of sensorimotor and visual networks in slow-5, higher fALFF of limbic network in both bands have been observed for SPD group. The results of ALFF are consistent with those of fALFF. The proposed MFBA method may help distinguish networks or oscillators in the human brain, reveal subtle alternations of networks through locating their dominant frequency band, and present potential to interpret the neuropathology disruptions.
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Affiliation(s)
- Shouliang Qi
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China
| | - Qingjun Gao
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China
| | - Jing Shen
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Yueyang Teng
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China
| | - Xuan Xie
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China
| | - Yueji Sun
- Department of Psychiatry and Behavioral Sciences, Dalian Medical University, Dalian, China
| | - Jianlin Wu
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
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18
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Takahashi T, Suzuki M. Brain morphologic changes in early stages of psychosis: Implications for clinical application and early intervention. Psychiatry Clin Neurosci 2018; 72:556-571. [PMID: 29717522 DOI: 10.1111/pcn.12670] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/23/2018] [Indexed: 12/20/2022]
Abstract
To date, a large number of magnetic resonance imaging (MRI) studies have been conducted in schizophrenia, which generally demonstrate gray matter reduction, predominantly in the frontal and temporo-limbic regions, as well as gross brain abnormalities (e.g., a deviated sulcogyral pattern). Although the causes as well as timing and course of these findings remain elusive, these morphologic changes (especially gross brain abnormalities and medial temporal lobe atrophy) are likely present at illness onset, possibly reflecting early neurodevelopmental abnormalities. In addition, longitudinal MRI studies suggest that patients with schizophrenia and related psychoses also have progressive gray matter reduction during the transition period from prodrome to overt psychosis, as well as initial periods after psychosis onset, while such changes may become almost stable in the chronic stage. These active brain changes during the early phases seem to be relevant to the development of clinical symptoms in a region-specific manner (e.g., superior temporal gyrus atrophy and positive psychotic symptoms), but may be at least partly ameliorated by antipsychotic medication. Recently, increasing evidence from MRI findings in individuals at risk for developing psychosis has suggested that those who subsequently develop psychosis have baseline brain changes, which could be at least partly predictive of later transition into psychosis. In this article, we selectively review previous MRI findings during the course of psychosis and also refer to the possible clinical applicability of these neuroimaging research findings, especially in the diagnosis of schizophrenia and early intervention for psychosis.
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Affiliation(s)
- Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
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19
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Chan CC, Szeszko PR, Wong E, Tang CY, Kelliher C, Penner JD, Perez-Rodriguez MM, Rosell DR, McClure M, Roussos P, New AS, Siever LJ, Hazlett EA. Frontal and temporal cortical volume, white matter tract integrity, and hemispheric asymmetry in schizotypal personality disorder. Schizophr Res 2018; 197:226-232. [PMID: 29454512 PMCID: PMC8043048 DOI: 10.1016/j.schres.2018.01.025] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Revised: 11/29/2017] [Accepted: 01/21/2018] [Indexed: 12/29/2022]
Abstract
Abnormalities in temporal and frontal cortical volume, white matter tract integrity, and hemispheric asymmetry have been implicated in schizophrenia-spectrum disorders. Schizotypal personality disorder can provide insight into vulnerability and protective factors in these disorders without the confounds associated with chronic psychosis. However, multimodal imaging and asymmetry studies in SPD are sparse. Thirty-seven individuals with SPD and 29 healthy controls (HC) received clinical interviews and 3T magnetic resonance T1-weighted and diffusion tensor imaging scans. Mixed ANOVAs were performed on gray matter volumes of the lateral temporal regions involved in auditory and language processing and dorsolateral prefrontal cortex involved in executive functioning, as well as fractional anisotropy (FA) of prominent white matter tracts that connect frontal and temporal lobes. In the temporal lobe regions, there were no group differences in volume, but SPD had reduced right>left middle temporal gyrus volume asymmetry compared to HC and lacked the right>left asymmetry in the inferior temporal gyrus volume seen in HC. In the frontal regions, there were no differences between groups on volume or asymmetry. In the white matter tracts, SPD had reduced FA in the left sagittal stratum and superior longitudinal fasciculus, and increased right>left asymmetry in sagittal stratum FA compared to HC. In the SPD group, lower left superior longitudinal fasciculus FA was associated with greater severity of disorganization symptoms. Findings suggest that abnormities in structure and asymmetry of temporal regions and frontotemporal white matter tract integrity are implicated in SPD pathology.
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Affiliation(s)
- Chi C. Chan
- VISN 2 Mental Illness Research, Education, and Clinical Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Corresponding author at: Mental Illness Research, Education, and Clinical Center, James J. Peters VA Medical Center, 130 West Kingsbridge Road, Room 6A-41G, Bronx, NY 10468, USA, (C.C. Chan)
| | - Philip R. Szeszko
- VISN 2 Mental Illness Research, Education, and Clinical Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Edmund Wong
- Translational and Molecular Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cheuk Y. Tang
- Translational and Molecular Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Caitlin Kelliher
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Justin D. Penner
- VISN 2 Mental Illness Research, Education, and Clinical Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Daniel R. Rosell
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Margaret McClure
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Panos Roussos
- VISN 2 Mental Illness Research, Education, and Clinical Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Department of Genetics and Genomic Sciences and Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Antonia S. New
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Larry J. Siever
- VISN 2 Mental Illness Research, Education, and Clinical Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Erin A. Hazlett
- VISN 2 Mental Illness Research, Education, and Clinical Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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20
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Zhang T, Wang D, Zhang Q, Wu J, Lv J, Shi L. Supervoxel-based statistical analysis of diffusion tensor imaging in schizotypal personality disorder. Neuroimage 2017; 163:368-378. [DOI: 10.1016/j.neuroimage.2017.07.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 06/20/2017] [Accepted: 07/13/2017] [Indexed: 01/24/2023] Open
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21
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Predictors and longitudinal course of cognitive functioning in schizophrenia spectrum disorders, 10years after baseline: The OPUS study. Schizophr Res 2016; 175:57-63. [PMID: 27050475 DOI: 10.1016/j.schres.2016.03.025] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 03/19/2016] [Accepted: 03/24/2016] [Indexed: 11/20/2022]
Abstract
BACKGROUND Identifying baseline predictors of the long-term course of cognitive functioning in schizophrenia spectrum disorders is important because of associations between cognitive functioning (CF) and functional outcome. Determining whether CF remains stable or change during the course of illness is another matter of interest. METHODS Participants from The Danish OPUS Trial, aged 18-45years, with a baseline ICD-10 schizophrenia spectrum diagnosis, were assessed on psychopathology, social and vocational functioning at baseline, and cognitive functioning 5 (N=298) and 10years (N=322) after baseline. Uni- and multi-variable regression analyses of potential baseline predictors of 10-year CF were performed. Also, changes in CF and symptomatology between 5 and 10years of follow-up were assessed. FINDINGS Baseline predictors of impaired CF after 10years included male gender, unemployment, poor premorbid achievement and later age of onset. Having finished high school and receiving early intervention treatment was associated with better CF. Age, growing up with both parents, number of family and friends, primary caregivers education, premorbid social function, negative symptoms, GAF (symptoms, function) and substance abuse, were associated with CF in univariable analyses. Non-participants generally suffered from more severe dysfunction. Longitudinally, amelioration in negative symptoms was associated with improved speed of processing and executive functions. Symptom scores generally improved with time, while scores for all cognitive tests remained stable. CONCLUSION The current study identifies several robust associations between baseline characteristics and 10-year cognitive outcome. Several other variables were univariably associated with 10-year cognitive outcome. Also, we found evidence for stability of CF over time.
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22
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Ma G, Fan H, Shen C, Wang W. Genetic and Neuroimaging Features of Personality Disorders: State of the Art. Neurosci Bull 2016; 32:286-306. [PMID: 27037690 DOI: 10.1007/s12264-016-0027-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Accepted: 03/03/2016] [Indexed: 12/11/2022] Open
Abstract
Personality disorders often act as a common denominator for many psychiatric problems, and studies on personality disorders contribute to the etiopathology, diagnosis, and treatment of many mental disorders. In recent years, increasing evidence from various studies has shown distinctive features of personality disorders, and that from genetic and neuroimaging studies has been especially valuable. Genetic studies primarily target the genes encoding neurotransmitters and enzymes in the serotoninergic and dopaminergic systems, and neuroimaging studies mainly focus on the frontal and temporal lobes as well as the limbic-paralimbic system in patients with personality disorders. Although some studies have suffered due to unclear diagnoses of personality disorders and some have included few patients for a given personality disorder, great opportunities remain for investigators to launch new ideas and technologies in the field.
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Affiliation(s)
- Guorong Ma
- Department of Clinical Psychology and Psychiatry, Zhejiang University School of Medicine, Hangzhou, 310058, China.,Department of Psychology and Behavioral Sciences, Zhejiang University College of Science, Hangzhou, 310007, China
| | - Hongying Fan
- Department of Clinical Psychology and Psychiatry, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Chanchan Shen
- Department of Psychology and Behavioral Sciences, Zhejiang University College of Science, Hangzhou, 310007, China
| | - Wei Wang
- Department of Clinical Psychology and Psychiatry, Zhejiang University School of Medicine, Hangzhou, 310058, China. .,Department of Psychology and Behavioral Sciences, Zhejiang University College of Science, Hangzhou, 310007, China.
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23
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Association between impaired brain activity and volume at the sub-region of Broca's area in ultra-high risk and first-episode schizophrenia: A multi-modal neuroimaging study. Schizophr Res 2016; 172:9-15. [PMID: 26873807 DOI: 10.1016/j.schres.2016.02.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 01/31/2016] [Accepted: 02/03/2016] [Indexed: 11/24/2022]
Abstract
Recent studies have suggested that functional abnormalities in Broca's area, which is important in language production (speech and thoughts before speech), play an important role in the pathophysiology of schizophrenia. While multi-modal approaches have proved useful in revealing the specific pathophysiology of psychosis, the association of functional abnormalities with gray matter volume (GMV) here in subjects with an ultra-high risk (UHR) of schizophrenia, those with first-episode schizophrenia (FES), and healthy controls has yet to be clarified. Therefore, the relationship between cortical activity measured using functional near-infrared spectroscopy (fNIRS) during a verbal fluency task, and GMV in the Broca's area assessed using a manual tracing in magnetic resonance imaging (MRI), which considers individual structural variation, was examined for 57 subjects (23 UHR/18 FES/16 controls). The UHR and FES group showed significantly reduced brain activity compared to control group in the left pars triangularis (PT) (P=.036, .003, respectively). Furthermore in the FES group, the reduced brain activity significantly positively correlated with the volume in the left PT (B=0.29, P=.027), while significant negative association was evident for all subjects (B=-0.18, P=.010). This correlation remained significant after adjusting for antipsychotics dosage, and voxel-wise analysis could not detect any significant correlation between impaired cortical activity and volume. The significant relationship between neural activity and GMV in the left PT may reflect a specific pathophysiology related to the onset of schizophrenia.
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24
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Nishikawa Y, Takahashi T, Takayanagi Y, Furuichi A, Kido M, Nakamura M, Sasabayashi D, Noguchi K, Suzuki M. Orbitofrontal sulcogyral pattern and olfactory sulcus depth in the schizophrenia spectrum. Eur Arch Psychiatry Clin Neurosci 2016; 266:15-23. [PMID: 25757375 DOI: 10.1007/s00406-015-0587-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2014] [Accepted: 02/19/2015] [Indexed: 11/24/2022]
Abstract
Morphological changes in the orbitofrontal cortex (OFC), such as an altered sulcogyral pattern of the 'H-shaped' orbital sulcus and a shallow olfactory sulcus, have been demonstrated in schizophrenia, possibly reflecting deviations in early neurodevelopment. However, it remains unclear whether patients with schizotypal features exhibit similar OFC changes. This magnetic resonance imaging study examined the OFC sulcogyral pattern (Types I, II, III, and IV) and olfactory sulcus morphology in 102 patients with schizophrenia, 47 patients with schizotypal disorder, and 84 healthy controls. The OFC sulcogyral pattern distribution between the groups was significantly different on the right hemisphere, with the schizophrenia patients showing a decrease in Type I (vs controls and schizotypal patients) and an increase in Type III (vs controls) expression. However, the schizotypal patients and controls did not differ in the OFC pattern. There were significant group differences in the olfactory sulcus depth bilaterally (schizophrenia patients < schizotypal patients < controls). Our findings suggest that schizotypal disorder, a milder form of schizophrenia spectrum disorders, partly shares the OFC changes (i.e., altered depth of the olfactory sulcus) with schizophrenia, possibly reflecting a common disease vulnerability. However, altered distribution of the OFC pattern specific to schizophrenia may at least partly reflect neurodevelopmental pathology related to a greater susceptibility to overt psychosis.
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Affiliation(s)
- Yumiko Nishikawa
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, 930-0194, Japan.
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, 930-0194, Japan
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25
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Cohen AS, Mohr C, Ettinger U, Chan RCK, Park S. Schizotypy as an organizing framework for social and affective sciences. Schizophr Bull 2015; 41 Suppl 2:S427-35. [PMID: 25810057 PMCID: PMC4373637 DOI: 10.1093/schbul/sbu195] [Citation(s) in RCA: 93] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Schizotypy, defined in terms of commonly occurring personality traits related to the schizophrenia spectrum, has been an important construct for understanding the neurodevelopment and stress-diathesis of schizophrenia. However, as schizotypy nears its sixth decade of application, it is important to acknowledge its impressively rich literature accumulating outside of schizophrenia research. In this article, we make the case that schizotypy has considerable potential as a conceptual framework for understanding individual differences in affective and social functions beyond those directly involved in schizophrenia spectrum pathology. This case is predicated on (a) a burgeoning literature noting anomalies in a wide range of social functioning, affiliative, positive and negative emotional, expressive, and social cognitive systems, (b) practical and methodological features associated with schizotypy research that help facilitate empirical investigation, and (c) close ties to theoretical constructs of central importance to affective and social science (eg, stress diathesis, neural compensation). We highlight recent schizotypy research, ie providing insight into the nature of affective and social systems more generally. This includes current efforts to clarify the neurodevelopmental, neurobiological, and psychological underpinnings of affiliative drives, hedonic capacity, social cognition, and stress responsivity systems. Additionally, we discuss neural compensatory and resilience factors that may mitigate the expression of stress-diathesis and functional outcome, and highlight schizotypy's potential role for understanding cultural determinants of social and affective functions.
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Affiliation(s)
- Alex S. Cohen
- Department of Psychology, Louisiana State University, Baton Rouge, LA;,*To whom correspondence should be addressed; Department of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA 70808, US; tel: 225-578-7017, fax: 225-578-4125, e-mail:
| | - Christine Mohr
- Institute of Psychology, University of Lausanne, Switzerland
| | | | - Raymond C. K. Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Sohee Park
- Department of Psychology, Vanderbilt University, Nashville, TN
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26
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Abstract
PURPOSE OF REVIEW The purpose of this article is to review recent literature examining the occurrence of psychotic experiences in normal population and those with personality disorders. RECENT FINDINGS Up to 15% of individuals in the general population report some type or degree of psychotic experience. Most of these individuals function adequately, do not require psychiatric treatment and do not receive diagnosis of a psychotic illness. A significant number of individuals diagnosed with borderline personality disorder (25-50%) also report psychotic symptoms. These are not easily differentiated from the psychotic symptoms reported by individuals with schizophrenia, nor are they always transient. However, emerging research has confirmed that individuals with schizotypal personality disorder are dimensionally related to those with schizophrenia and are at an increased risk of transition to psychosis. SUMMARY Psychotic symptoms are best considered as 'trans-diagnostic' entities on a continuum from normal to pathological. There is a large body of evidence for a dimensional relationship between schizotypal personality disorder and schizophrenia. There is also a significant amount of research showing that psychotic symptoms in borderline personality disorder are frequent, nontransient and represent a marker of illness severity. This review highlights the need to move beyond traditional assumptions and categorical boundaries when evaluating psychotic experiences and psychopathological phenomena.
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27
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DeRosse P, Nitzburg GC, Ikuta T, Peters BD, Malhotra AK, Szeszko PR. Evidence from structural and diffusion tensor imaging for frontotemporal deficits in psychometric schizotypy. Schizophr Bull 2015; 41:104-14. [PMID: 25392520 PMCID: PMC4266309 DOI: 10.1093/schbul/sbu150] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Previous studies of nonclinical samples exhibiting schizotypal traits have provided support for the existence of a continuous distribution of psychotic symptoms in the general population. Few studies, however, have examined the neural correlates of psychometric schizotypy using structural and diffusion tensor imaging (DTI). METHODS Healthy volunteers between the ages of 18 and 68 were recruited from the community and assessed using the Schizotypal Personality Questionnaire and received structural and DTI exams. Participants with high (N = 67) and low (N = 71) psychometric schizotypy were compared on gray and white matter volume, and cortical thickness in frontal and temporal lobe regions and on fractional anisotropy (FA) within 5 association tracts traversing the frontal and temporal lobes. RESULTS Higher levels of schizotypy were associated with lower overall volumes of gray matter in both the frontal and temporal lobes and lower gray matter thickness in the temporal lobe. Regionally specific effects were evident in both white matter and gray matter volume of the rostral middle frontal cortex and gray matter volume in the pars orbitalis. Moreover, relative to individuals who scored low, those who scored high in schizotypy had lower FA in the inferior fronto-occipital fasciculus as well as greater asymmetry (right > left) in the uncinate fasciculus. CONCLUSIONS These findings are broadly consistent with recent data on the neurobiological correlates of psychometric schizotypy as well as findings in schizotypal personality disorder and schizophrenia and suggest that frontotemporal lobe dysfunction may represent a core component of the psychosis phenotype.
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Affiliation(s)
- Pamela DeRosse
- Center for Translational Psychiatry, The Feinstein Institute for Medical Research, Manhasset, NY; Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, NY;
| | - George C. Nitzburg
- Center for Translational Psychiatry, The Feinstein Institute for Medical Research, Manhasset, NY
| | - Toshikazu Ikuta
- Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS
| | - Bart D. Peters
- Center for Translational Psychiatry, The Feinstein Institute for Medical Research, Manhasset, NY;,Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore–Long Island Jewish Health System, Glen Oaks, NY
| | - Anil K. Malhotra
- Center for Translational Psychiatry, The Feinstein Institute for Medical Research, Manhasset, NY;,Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore–Long Island Jewish Health System, Glen Oaks, NY;,Hofstra North Shore – LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY
| | - Philip R. Szeszko
- Center for Translational Psychiatry, The Feinstein Institute for Medical Research, Manhasset, NY;,Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore–Long Island Jewish Health System, Glen Oaks, NY;,Hofstra North Shore – LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY
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28
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Zhang Q, Shen J, Wu J, Yu X, Lou W, Fan H, Shi L, Wang D. Altered default mode network functional connectivity in schizotypal personality disorder. Schizophr Res 2014; 160:51-6. [PMID: 25458858 DOI: 10.1016/j.schres.2014.10.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2014] [Revised: 09/17/2014] [Accepted: 10/09/2014] [Indexed: 12/18/2022]
Abstract
The default mode network (DMN) has been identified to play a critical role in many mental disorders, but such abnormalities have not yet been determined in patients with schizotypal personality disorder (SPD). The purpose of this study was to analyze the alteration of the DMN functional connectivity in subjects with (SPD) and compared it to healthy control subjects. Eighteen DSM-IV diagnosed SPD subjects (all male, average age: 19.7±0.9) from a pool of 3000 first year college students, and eighteen age and gender matched healthy control subjects were recruited (all male, average age: 20.3±0.9). Independent component analysis (ICA) was used to analyze the DMN functional connectivity alteration. Compared to the healthy control group, SPD subjects had significantly decreased functional connectivity in the frontal areas, including the superior and medial frontal gyrus, and greater functional connectivity in the bilateral superior temporal gyrus and sub-lobar regions, including the bilateral putamen and caudate. Compared to subjects with SPD, the healthy control group showed decreased functional connectivity in the bilateral posterior cingulate gyrus, but showed greater functional connectivity in the right transverse temporal gyrus and left middle temporal gyrus. The healthy control group also showed greater activation in the cerebellum compared to the SPD group. These findings suggest that DMN functional connectivity, particularly that involving cognitive or emotional regulation, is altered in SPD subjects, and thus may be helpful in studying schizophrenia.
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Affiliation(s)
- Qing Zhang
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China; Tianjin Medical University, Tianjin, China
| | - Jing Shen
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China; Research Center for Medical Image Computing, Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong Special Administrative Region
| | - Jianlin Wu
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China; Tianjin Medical University, Tianjin, China.
| | - Xiao Yu
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Wutao Lou
- Research Center for Medical Image Computing, Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong Special Administrative Region
| | - Hongyu Fan
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Lin Shi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, NT, Hong Kong Special Administrative Region
| | - Defeng Wang
- Research Center for Medical Image Computing, Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong Special Administrative Region; Department of Biomedical Engineering and Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong Special Administrative Region; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
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29
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Ford TC, Crewther DP. Factor Analysis Demonstrates a Common Schizoidal Phenotype within Autistic and Schizotypal Tendency: Implications for Neuroscientific Studies. Front Psychiatry 2014; 5:117. [PMID: 25221527 PMCID: PMC4145657 DOI: 10.3389/fpsyt.2014.00117] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2014] [Accepted: 08/13/2014] [Indexed: 01/01/2023] Open
Abstract
Behavioral and cognitive dysfunction, particularly social and communication impairments, are shared between autism and schizophrenia spectrum disorders, while evidence for a diametric autism-positive schizophrenia symptom profile is inconsistent. We investigated the shared phenotype at a personality trait level, particularly its resemblance to schizoid personality disorder, as well as differential aspects of the autism-schizophrenia model. Items of the autism spectrum quotient (AQ) and schizotypal personality questionnaire (SPQ) were pseudo-randomly combined, and were completed by 449 (162 male, 287 female) non-clinical participants aged 18-40. A factor analysis revealed three factors; the first represented a shared social disorganization phenotype, the second reflected perceptual oddities specific to schizotypy while the third reflected social rigidity specific to autism. The AQ and SPQ were strongly correlated with Factor 1 (AQ: r = 0.75, p < 0.001; SPQ: r = 0.96, p < 0.001), SPQ score was correlated with Factor 2 (r = 0.51, p < 0.001), particularly in cognitive-perceptual features (r = 0.66, p < 0.001), and AQ score was strongly correlated with Factor 3 (r = 0.76, p < 0.001). Furthermore, there was no relationship between Factor 1 and Factor 2. Thus, there is robust evidence for a shared social disorganization phenotype in autistic and schizotypal tendency, which reflects the schizoid phenotype. Discriminating and independent dimensions of schizotypal and autistic tendency exist in Factors 2 and 3, respectively. Current diagnostic protocols could result in different diagnoses depending on the instrument used, suggesting the need for neuromarkers that objectively differentiate autistic and schizotypal traits and resolve the question of commonality versus co-morbidity.
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Affiliation(s)
- Talitha C Ford
- Centre for Human Psychopharmacology, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University of Technology , Melbourne, VIC , Australia
| | - David P Crewther
- Centre for Human Psychopharmacology, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University of Technology , Melbourne, VIC , Australia
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30
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Zhang J, Wang W, Tan Z, Wu Q, Xiao W, Shang L, Zhang Y, Peng J, Miao D. Spatial analysis of schizotypal personality traits in Chinese male youths: evidence from a GIS-based analysis of Sichuan. Int J Ment Health Syst 2014; 8:3. [PMID: 24423022 PMCID: PMC3904416 DOI: 10.1186/1752-4458-8-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2013] [Accepted: 01/08/2014] [Indexed: 11/21/2022] Open
Abstract
Background Schizotypal personality traits are associated with schizophrenia spectrum disorders, stating that schizotypal traits may represent a “prodrome” or other developmental precursor of schizophrenia. Genetic and environmental factors both play importanxt roles in the development of schizotypal traits. Different levels of schizotypal traits across regions may be indicative of similar differences in the incidence of schizophrenia. Aim The present study identifying where in a given region, schizotypal personality traits are more or less level of schizotypal personality scores in Chinese male youth of Sichuan province. Not only for research purposes but also for the evaluation of new draft and allocation policy initiatives intended to aid recruitment of mental health employees. Methods Data from the Psychological Selection Systems for Chinese Recruits, a mental health screening system used in China, collected in 2011 (67,558 copies) were used to map spatial distribution of schizotypal personality traits using geostatistics and geographic information system (GIS) techniques. Correlation analyses were conducted to explore the effects of years of education and illiterate rate on schizotypal personality traits. Results Maps for three schizotypal personality clinical scales (dissociative, Dit; neurotic, Net and sensitive, Set) showed similar geographical trends. The highest T scores were distributed mainly in the eastern and northern counties of Sichuan, with scores decreasing successively from east to west, with the eastern counties generally showing higher scores. Correlation analysis showed that t-scores of Set were negatively correlated with years of education, whereas t-scores of Net were negatively correlated with illiteracy rate. Conclusions Schizotypal personality traits in male youth showed specific geographical trends in Sichuan province, providing some evidence that kriging based on GIS can be used to geographically localize genetic and environmental factors associated with schizotypal personality traits. This approach could be used to help allocate public health resources to specific areas and could also have personnel selection applications.
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Affiliation(s)
- Jiaxi Zhang
- Department of Psychology, Fourth Military Medical University, Chang Le Western Street No.169, Xi'an, Shannxi, China
| | - Wei Wang
- Department of Psychology, Fourth Military Medical University, Chang Le Western Street No.169, Xi'an, Shannxi, China
| | - Zhijun Tan
- Department of Statistics, Fourth Military Medical University, Xi'an, China
| | - Qing Wu
- Department of Psychology, Fourth Military Medical University, Chang Le Western Street No.169, Xi'an, Shannxi, China.,Foreign Language Teaching and Researching Office of Basic Education Department, Chongqing Communication Institute, Chongqing, China
| | - Wei Xiao
- Department of Psychology, Fourth Military Medical University, Chang Le Western Street No.169, Xi'an, Shannxi, China
| | - Lei Shang
- Department of Statistics, Fourth Military Medical University, Xi'an, China
| | - Yan Zhang
- Department of Psychology, Fourth Military Medical University, Chang Le Western Street No.169, Xi'an, Shannxi, China
| | - Jiaxi Peng
- Department of Psychology, Fourth Military Medical University, Chang Le Western Street No.169, Xi'an, Shannxi, China
| | - Danmin Miao
- Department of Psychology, Fourth Military Medical University, Chang Le Western Street No.169, Xi'an, Shannxi, China
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31
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Vu MAT, Thermenos HW, Terry DP, Wolfe DJ, Voglmaier MM, Niznikiewicz MA, McCarley RW, Seidman LJ, Dickey CC. Working memory in schizotypal personality disorder: fMRI activation and deactivation differences. Schizophr Res 2013; 151:113-23. [PMID: 24161536 DOI: 10.1016/j.schres.2013.09.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2013] [Revised: 08/19/2013] [Accepted: 09/16/2013] [Indexed: 01/03/2023]
Abstract
BACKGROUND Schizotypal personality disorder (SPD) is considered a schizophrenia spectrum disorder, sharing with schizophrenia cognitive, neuropsychological, epidemiological, and biological characteristics. Working memory may be one area of shared deficit, although to date, this is only the second study to investigate working memory in SPD using fMRI. METHODS In a block-design fMRI study, fifteen antipsychotic-naïve SPD and sixteen healthy control subjects performed blocks of a 2back visual working memory task and 0back continuous performance task while undergoing whole-brain fMRI at 3T. Whole-brain analyses were performed for the 0back>rest (fixation baseline) and the 2back>0back contrasts (isolating the working memory component from the visual perception and attention component). Parameter estimates were extracted to determine whether observed differences were due to task-induced activation and/or deactivation. RESULTS Activation differences emerged between the two groups, without differences in task performance. In the 0back task, SPD showed decreased task-induced activation of the left postcentral gyrus. In the 2back>0back contrast, HC showed greater task-induced activation of the left posterior cingulate gyrus, superior temporal gyrus, insula, and middle frontal gyrus. These differences were due to SPD subjects' decreased task-induced activation in the left posterior cingulate gyrus, and task-induced deactivation in the remaining regions. CONCLUSIONS These findings suggest that compared to HC subjects, individuals with SPD may achieve comparable working memory performance. However, differences emerge at the level of functional neural activation, attributable to different task-induced activation and deactivation patterns. Such differential recruitment of neural resources may be beneficial, contributing to SPD subjects' ability to perform these tasks comparably to HC subjects.
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Affiliation(s)
- Mai-Anh T Vu
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
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