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Johnson JF, Schwartze M, Belyk M, Pinheiro AP, Kotz SA. Variability in white matter structure relates to hallucination proneness. Neuroimage Clin 2024; 43:103643. [PMID: 39042953 PMCID: PMC11325372 DOI: 10.1016/j.nicl.2024.103643] [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: 06/22/2024] [Accepted: 07/15/2024] [Indexed: 07/25/2024]
Abstract
Hallucinations are a prominent transdiagnostic psychiatric symptom but are also prevalent in individuals who do not require clinical care. Moreover, persistent psychosis-like experience in otherwise healthy individuals may be related to an increased risk to transition to a psychotic disorder. This suggests a common etiology across clinical and non-clinical individuals along a multidimensional psychosis continuum that may be detectable in structural variations of the brain. The current diffusion tensor imaging study assessed 50 healthy individuals (35 females) to identify possible differences in white matter associated with hallucination proneness (HP). This approach circumvents potential confounds related to medication, hospitalization, and disease progression common in clinical individuals. We determined how HP relates to white matter structure in selected association, commissural, and projection fiber pathways putatively linked to psychosis. Increased HP was associated with enhanced fractional anisotropy (FA) in the right uncinate fasciculus, the right anterior and posterior arcuate fasciculus, and the corpus callosum. These findings support the notion of a psychosis continuum, providing first evidence of structural white matter variability associated with HP in healthy individuals. Furthermore, alterations in the targeted pathways likely indicate an association between HP-related structural variations and the putative salience and attention mechanisms that these pathways subserve.
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Affiliation(s)
- Joseph F Johnson
- Université Libre de Bruxelles, Center for Research in Cognition & Neurosciences, Bruxelles, Belgium; University of Maastricht, Department of Neuropsychology and Psychopharmacology, Maastricht, The Netherlands
| | - Michael Schwartze
- University of Maastricht, Department of Neuropsychology and Psychopharmacology, Maastricht, The Netherlands
| | - Michel Belyk
- Edge Hill University, Department of Psychology, Ormskirk, United Kingdom
| | - Ana P Pinheiro
- Faculdade de Psicologia, Universidade de Lisboa, Lisboa, Portugal
| | - Sonja A Kotz
- University of Maastricht, Department of Neuropsychology and Psychopharmacology, Maastricht, The Netherlands; Max Planck Institute for Human and Cognitive Sciences, Department of Neuropsychology, Leipzig, Germany.
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Arai Y, Katagiri N, Tagata H, Uchino T, Saito J, Shido Y, Kamiya K, Hori M, Mizuno M, Nemoto T. Exploring the impact of biological alterations in the superior thalamic radiations on exploratory eye movements in attenuated psychosis syndrome. Front Psychiatry 2024; 15:1323786. [PMID: 38938465 PMCID: PMC11210316 DOI: 10.3389/fpsyt.2024.1323786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 06/03/2024] [Indexed: 06/29/2024] Open
Abstract
Introduction Aberrant fixation and scan paths in visual searches have been repeatedly reported in schizophrenia. The frontal eye fields (FEF) and thalamus may be responsible for fixation and scan paths. These two regions are connected by superior thalamic radiation (STR) in humans. Studies have reported reduced fixation numbers and shortened scan path lengths in individuals with attenuated psychosis syndrome (APS) and schizophrenia. In this study, we hypothesized that STRs in the white matter fiber bundles of impairments underlie abnormalities in fixation and scan path length in individuals with APS. Methods Twenty-one individuals with APS and 30 healthy controls participated in this study. All participants underwent diffusion tensor imaging, and fractional anisotropy (FA) values of the left and right STR were analyzed using the novel method TractSeg. The number of eye fixations (NEF), total eye scanning length (TESL), and mean eye scanning length (MESL), derived using the exploratory eye movement (EEM) test, were adopted to evaluate the fixation and scan path length. We compared the FA values of the bilateral STR and EEM parameters between the APS and healthy control groups. We investigated the correlation between bilateral STR and EEM parameters in the APS and healthy control groups. Results NEF, TESL, MESL, and the FA values of the left STR were significantly reduced in individuals with APS compared to healthy controls. The left STR FA value in the APS group was significantly positively correlated with the MESL (r = 0.567, p = 0.007). In addition, the right STR FA value of the APS group was significantly correlated with the TESL (r = 0.587, p = 0.005) and MESL (r = 0.756, p = 0.7×10-4). Discussion These results demonstrate that biological changes in the STR, which connects the thalamus and FEF, underlie abnormalities in fixation and scanning. Recently, aberrations in the thalamus-frontal connection have been shown to underlie the emergence of psychotic symptoms. STR impairment may be a part of the biological basis of APS in individuals with subthreshold psychotic symptoms.
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Affiliation(s)
- Yu Arai
- Department of Neuropsychiatry, Toho University Graduate School of Medicine, Tokyo, Japan
- Department of Neuropsychiatry, Toho University Faculty of Medicine, Tokyo, Japan
- Department of Neuropsychiatry, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Japan
| | - Naoyuki Katagiri
- Department of Neuropsychiatry, Toho University Faculty of Medicine, Tokyo, Japan
| | - Hiromi Tagata
- Department of Neuropsychiatry, Toho University Faculty of Medicine, Tokyo, Japan
| | - Takashi Uchino
- Department of Psychiatry and Implementation Science, Toho University Faculty of Medicine, Tokyo, Japan
| | - Junichi Saito
- Department of Neuropsychiatry, Toho University Faculty of Medicine, Tokyo, Japan
| | - Yusuke Shido
- Department of Neuropsychiatry, Toho University Faculty of Medicine, Tokyo, Japan
| | - Kouhei Kamiya
- Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan
| | - Masaaki Hori
- Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan
| | - Masafumi Mizuno
- Department of Neuropsychiatry, Toho University Faculty of Medicine, Tokyo, Japan
- Tokyo Metropolitan Matsuzawa Hospital, Tokyo, Japan
| | - Takahiro Nemoto
- Department of Neuropsychiatry, Toho University Graduate School of Medicine, Tokyo, Japan
- Department of Neuropsychiatry, Toho University Faculty of Medicine, Tokyo, Japan
- Department of Psychiatry and Implementation Science, Toho University Faculty of Medicine, Tokyo, Japan
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Langhein M, Lyall AE, Steinmann S, Seitz-Holland J, Nägele FL, Cetin-Karayumak S, Zhang F, Rauh J, Mußmann M, Billah T, Makris N, Pasternak O, O’Donnell LJ, Rathi Y, Leicht G, Kubicki M, Shenton ME, Mulert C. The decoupling of structural and functional connectivity of auditory networks in individuals at clinical high-risk for psychosis. World J Biol Psychiatry 2023; 24:387-399. [PMID: 36083108 PMCID: PMC10399965 DOI: 10.1080/15622975.2022.2112974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 10/14/2022]
Abstract
OBJECTIVES Disrupted auditory networks play an important role in the pathophysiology of psychosis, with abnormalities already observed in individuals at clinical high-risk for psychosis (CHR). Here, we examine structural and functional connectivity of an auditory network in CHR utilising state-of-the-art electroencephalography and diffusion imaging techniques. METHODS Twenty-six CHR subjects and 13 healthy controls (HC) underwent diffusion MRI and electroencephalography while performing an auditory task. We investigated structural connectivity, measured as fractional anisotropy in the Arcuate Fasciculus (AF), Cingulum Bundle, and Superior Longitudinal Fasciculus-II. Gamma-band lagged-phase synchronisation, a functional connectivity measure, was calculated between cortical regions connected by these tracts. RESULTS CHR subjects showed significantly higher structural connectivity in the right AF than HC (p < .001). Although non-significant, functional connectivity between cortical areas connected by the AF was lower in CHR than HC (p = .078). Structural and functional connectivity were correlated in HC (p = .056) but not in CHR (p = .29). CONCLUSIONS We observe significant differences in structural connectivity of the AF, without a concomitant significant change in functional connectivity in CHR subjects. This may suggest that the CHR state is characterised by a decoupling of structural and functional connectivity, possibly due to abnormal white matter maturation.
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Affiliation(s)
- Mina Langhein
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Amanda E. Lyall
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Saskia Steinmann
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Johanna Seitz-Holland
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Felix L. Nägele
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Suheyla Cetin-Karayumak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Fan Zhang
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Jonas Rauh
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marius Mußmann
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tashrif Billah
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Nikos Makris
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Lauren J O’Donnell
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Gregor Leicht
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Christoph Mulert
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Centre for Psychiatry, Justus-Liebig-University, Giessen, Germany
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Xu M, Zhang W, Hochwalt P, Yang C, Liu N, Qu J, Sun H, DelBello MP, Lui S, Nery FG. Structural connectivity associated with familial risk for mental illness: A meta‐analysis of diffusion tensor imaging studies in relatives of patients with severe mental disorders. Hum Brain Mapp 2022; 43:2936-2950. [PMID: 35285560 PMCID: PMC9120564 DOI: 10.1002/hbm.25827] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 01/23/2022] [Accepted: 02/14/2022] [Indexed: 02/05/2023] Open
Abstract
Schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) are heritable conditions with overlapping genetic liability. Transdiagnostic and disorder‐specific brain changes associated with familial risk for developing these disorders remain poorly understood. We carried out a meta‐analysis of diffusion tensor imaging (DTI) studies to investigate white matter microstructure abnormalities in relatives that might correspond to shared and discrete biomarkers of familial risk for psychotic or mood disorders. A systematic search of PubMed and Embase was performed to identify DTI studies in relatives of SCZ, BD, and MDD patients. Seed‐based d Mapping software was used to investigate global differences in fractional anisotropy (FA) between overall and disorder‐specific relatives and healthy controls (HC). Our search identified 25 studies that met full inclusion criteria. A total of 1,144 relatives and 1,238 HC were included in the meta‐analysis. The overall relatives exhibited decreased FA in the genu and splenium of corpus callosum (CC) compared with HC. This finding was found highly replicable in jack‐knife analysis and subgroup analyses. In disorder‐specific analysis, compared to HC, relatives of SCZ patients exhibited the same changes while those of BD showed reduced FA in the left inferior longitudinal fasciculus (ILF). The present study showed decreased FA in the genu and splenium of CC in relatives of SCZ, BD, and MDD patients, which might represent a shared familial vulnerability marker of severe mental illness. The white matter abnormalities in the left ILF might represent a specific familial risk for bipolar disorder.
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Affiliation(s)
- Mengyuan Xu
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Wenjing Zhang
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Paul Hochwalt
- Department of Psychiatry and Behavioral Neuroscience University of Cincinnati College of Medicine Cincinnati Ohio USA
| | - Chengmin Yang
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Naici Liu
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Jiao Qu
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Hui Sun
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Melissa P. DelBello
- Department of Psychiatry and Behavioral Neuroscience University of Cincinnati College of Medicine Cincinnati Ohio USA
| | - Su Lui
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Fabiano G. Nery
- Department of Psychiatry and Behavioral Neuroscience University of Cincinnati College of Medicine Cincinnati Ohio USA
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Luttenbacher I, Phillips A, Kazemi R, Hadipour AL, Sanghvi I, Martinez J, Adamson MM. Transdiagnostic role of glutamate and white matter damage in neuropsychiatric disorders: A Systematic Review. J Psychiatr Res 2022; 147:324-348. [PMID: 35151030 DOI: 10.1016/j.jpsychires.2021.12.042] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 12/08/2021] [Accepted: 12/19/2021] [Indexed: 12/09/2022]
Abstract
Neuropsychiatric disorders including generalized anxiety disorder (GAD), obsessive-compulsive disorder (OCD), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ) have been considered distinct categories of diseases despite their overlapping characteristics and symptomatology. We aimed to provide an in-depth review elucidating the role of glutamate/Glx and white matter (WM) abnormalities in these disorders from a transdiagnostic perspective. The PubMed online database was searched for studies published between 2010 and 2021. After careful screening, 401 studies were included. The findings point to decreased levels of glutamate in the Anterior Cingulate Cortex in both SZ and BD, whereas Glx is elevated in the Hippocampus in SZ and MDD. With regard to WM abnormalities, the Corpus Callosum and superior Longitudinal Fascicle were the most consistently identified brain regions showing decreased fractional anisotropy (FA) across all the reviewed disorders, except GAD. Additionally, the Uncinate Fasciculus displayed decreased FA in all disorders, except OCD. Decreased FA was also found in the inferior Longitudinal Fasciculus, inferior Fronto-Occipital Fasciculus, Thalamic Radiation, and Corona Radiata in SZ, BD, and MDD. Decreased FA in the Fornix and Corticospinal Tract were found in BD and SZ patients. The Cingulum and Anterior Limb of Internal Capsule exhibited decreased FA in MDD and SZ patients. The results suggest a gradual increase in severity from GAD to SZ defined by the number of brain regions with WM abnormality which may be partially caused by abnormal glutamate levels. WM damage could thus be considered a potential marker of some of the main neuropsychiatric disorders.
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Affiliation(s)
- Ines Luttenbacher
- Department of Social & Behavioral Sciences, University of Amsterdam, Amsterdam, Netherlands; Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Angela Phillips
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Reza Kazemi
- Department of Cognitive Psychology, Institute for Cognitive Science Studies, Tehran, Iran
| | - Abed L Hadipour
- Department of Cognitive Sciences, University of Messina, Messina, Italy
| | - Isha Sanghvi
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Neuroscience, University of Southern California, Los Angeles, CA, USA
| | - Julian Martinez
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Palo Alto University, Palo Alto, CA, USA
| | - Maheen M Adamson
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
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Seitz-Holland J, Cetin-Karayumak S, Wojcik JD, Lyall A, Levitt J, Shenton ME, Pasternak O, Westin CF, Baxi M, Kelly S, Mesholam-Gately R, Vangel M, Pearlson G, Tamminga CA, Sweeney JA, Clementz BA, Schretlen D, Viher PV, Stegmayer K, Walther S, Lee J, Crow T, James A, Voineskos A, Buchanan RW, Szeszko PR, Malhotra AK, Rathi Y, Keshavan M, Kubicki M. Elucidating the relationship between white matter structure, demographic, and clinical variables in schizophrenia-a multicenter harmonized diffusion tensor imaging study. Mol Psychiatry 2021; 26:5357-5370. [PMID: 33483689 PMCID: PMC8329919 DOI: 10.1038/s41380-021-01018-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/24/2020] [Accepted: 01/05/2021] [Indexed: 01/30/2023]
Abstract
White matter (WM) abnormalities are repeatedly demonstrated across the schizophrenia time-course. However, our understanding of how demographic and clinical variables interact, influence, or are dependent on WM pathologies is limited. The most well-known barriers to progress are heterogeneous findings due to small sample sizes and the confounding influence of age on WM. The present study leverages access to the harmonized diffusion magnetic-resonance-imaging data and standardized clinical data from 13 international sites (597 schizophrenia patients (SCZ)). Fractional anisotropy (FA) values for all major WM structures in patients were predicted based on FA models estimated from a healthy population (n = 492). We utilized the deviations between predicted and real FA values to answer three essential questions. (1) "Which clinical variables explain WM abnormalities?". (2) "Does the degree of WM abnormalities predict symptom severity?". (3) "Does sex influence any of those relationships?". Regression and mediator analyses revealed that a longer duration-of-illness is associated with more severe WM abnormalities in several tracts. In addition, they demonstrated that a higher antipsychotic medication dose is related to more severe corpus callosum abnormalities. A structural equation model revealed that patients with more WM abnormalities display higher symptom severity. Last, the results exhibited sex-specificity. Males showed a stronger association between duration-of-illness and WM abnormalities. Females presented a stronger association between WM abnormalities and symptom severity, with IQ impacting this relationship. Our findings provide clear evidence for the interaction of demographic, clinical, and behavioral variables with WM pathology in SCZ. Our results also point to the need for longitudinal studies, directly investigating the casualty and sex-specificity of these relationships, as well as the impact of cognitive resiliency on structure-function relationships.
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Affiliation(s)
- Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Suheyla Cetin-Karayumak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joanne D Wojcik
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Amanda Lyall
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - James Levitt
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Brockton, MA, USA
| | - Martha E Shenton
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Brockton, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Carl-Fredrik Westin
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Madhura Baxi
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Graduate Program of Neuroscience, Boston University, Boston, MA, USA
| | - Sinead Kelly
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Raquelle Mesholam-Gately
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Mark Vangel
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Carol A Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Brett A Clementz
- Department of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, USA
| | - David Schretlen
- Department of Psychiatry and Behavioral Sciences, Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Petra Verena Viher
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Katharina Stegmayer
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Sebastian Walther
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Jungsun Lee
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Tim Crow
- Department of Psychiatry, SANE POWIC, Warneford Hospital, University of Oxford, Oxford, UK
| | - Anthony James
- Department of Psychiatry, SANE POWIC, Warneford Hospital, University of Oxford, Oxford, UK
| | - Aristotle Voineskos
- Center for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Robert W Buchanan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Philip R Szeszko
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education and Clinical Center, James J. Peters VA Medical Center, Bronx, New York, NY, USA
| | - Anil K Malhotra
- The Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Yogesh Rathi
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Marek Kubicki
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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7
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Guo JY, Lesh TA, Niendam TA, Ragland JD, Tully LM, Carter CS. Brain free water alterations in first-episode psychosis: a longitudinal analysis of diagnosis, course of illness, and medication effects. Psychol Med 2021; 51:1001-1010. [PMID: 31910929 PMCID: PMC7340574 DOI: 10.1017/s0033291719003969] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Multiple lines of evidence suggest the presence of altered neuroimmune processes in patients with schizophrenia (Sz) and severe mood disorders. Recent studies using a novel free water diffusion tensor imaging (FW DTI) approach, proposed as a putative biomarker of neuroinflammation, atrophy, or edema, have shown significantly increased FW in patients with Sz. However no studies to date have investigated the longitudinal stability of FW alterations during the early course of psychosis, nor have studies focused separately on FE psychosis patients with Sz or bipolar disorder (BD) with psychotic features. METHODS The current study included 188 participants who underwent diffusion magnetic resonance imaging scanning at baseline. Sixty-four participants underwent follow-up rescanning after 12 months. DTI-based alterations in patients were calculated using voxelwise tract-based spatial statistics and region of interest analyses. RESULTS Patients with FE psychosis, both Sz and BD, exhibited increased FW at illness onset which remained unchanged over the 12-month follow-up period. Preliminary analyses suggested that antipsychotic medication exposure was associated with higher FW in gray matter that reached significance in the BD group. Higher FW in white matter correlated with negative symptom severity. CONCLUSIONS Our results support the presence of elevated FW at the onset of psychosis in both Sz and BD, which remains stable during the early course of the illness, with no evidence of either progression or remission.
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Affiliation(s)
- J. Y. Guo
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Center for Neuroscience, the University of California at Davis, Davis, CA, USA
| | - T. A. Lesh
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Psychiatry and Behavioral Sciences, University of California, Davis, CA, USA
| | - T. A. Niendam
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Psychiatry and Behavioral Sciences, University of California, Davis, CA, USA
| | - J. D. Ragland
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Psychiatry and Behavioral Sciences, University of California, Davis, CA, USA
| | - L. M. Tully
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Psychiatry and Behavioral Sciences, University of California, Davis, CA, USA
| | - C. S. Carter
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Center for Neuroscience, the University of California at Davis, Davis, CA, USA
- Psychiatry and Behavioral Sciences, University of California, Davis, CA, USA
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8
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Kim NS, Lee TY, Hwang WJ, Kwak YB, Kim S, Moon SY, Lho SK, Oh S, Kwon JS. White Matter Correlates of Theory of Mind in Patients With First-Episode Psychosis. Front Psychiatry 2021; 12:617683. [PMID: 33746794 PMCID: PMC7973210 DOI: 10.3389/fpsyt.2021.617683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 02/08/2021] [Indexed: 11/15/2022] Open
Abstract
Deficits in theory of mind (ToM) are considered as a distinctive feature of schizophrenia. Functional magnetic resonance imaging (fMRI) studies have suggested that aberrant activity among the regions comprising the mentalizing network is related to observed ToM deficits. However, the white matter structures underlying the ToM functional network in schizophrenia remain unclear. To investigate the relationship between white matter integrity and ToM impairment, 35 patients with first-episode psychosis (FEP) and 29 matched healthy controls (HCs) underwent diffusion tensor imaging (DTI). Using tract-based spatial statistics (TBSS), fractional anisotropy (FA) values of the two regions of interest (ROI)-the cingulum and superior longitudinal fasciculus (SLF)-were acquired, and correlational analysis with ToM task scores was performed. Among the patients with FEP, ToM strange story scores were positively correlated with the FA values of the left cingulum and left SLF. There was no significant correlation between FA and ToM task scores in HCs. These results suggest that the left cingulum and SLF constitute a possible neural basis for ToM deficits in schizophrenia. Our study is the first to demonstrate the white matter connectivity underlying the mentalizing network, as well as its relation to ToM ability in patients with FEP.
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Affiliation(s)
- Nahrie Suk Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, South Korea
- Biomedical Research Institute, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Tae Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
- Department of Psychiatry, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Wu Jeong Hwang
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, South Korea
| | - Yoo Bin Kwak
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, South Korea
| | - Seowoo Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, South Korea
| | - Sun-Young Moon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Silvia Kyungjin Lho
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Sanghoon Oh
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
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9
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Schoorl J, Barbu MC, Shen X, Harris MR, Adams MJ, Whalley HC, Lawrie SM. Grey and white matter associations of psychotic-like experiences in a general population sample (UK Biobank). Transl Psychiatry 2021; 11:21. [PMID: 33414383 PMCID: PMC7791107 DOI: 10.1038/s41398-020-01131-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 11/10/2020] [Accepted: 11/23/2020] [Indexed: 01/29/2023] Open
Abstract
There has been a substantial amount of research reporting the neuroanatomical associations of psychotic symptoms in people with schizophrenia. Comparatively little attention has been paid to the neuroimaging correlates of subclinical psychotic symptoms, so-called "psychotic-like experiences" (PLEs), within large healthy populations. PLEs are relatively common in the general population (7-13%), can be distressing and negatively affect health. This study therefore examined gray and white matter associations of four different PLEs (auditory or visual PLEs, and delusional ideas about conspiracies or communications) in subjects of the UK Biobank study with neuroimaging data (N = 21,390, mean age = 63 years). We tested for associations between any PLE (N = 768) and individual PLEs with gray and white matter brain structures, controlling for sex, age, intracranial volume, scanning site, and position in the scanner. Individuals that reported having experienced auditory hallucinations (N = 272) were found to have smaller volumes of the caudate, putamen, and accumbens (β = -0.115-0.134, pcorrected = 0.048-0.036), and reduced temporal lobe volume (β = -0.017, pcorrected = 0.047) compared to those that did not. People who indicated that they had ever believed in unreal conspiracies (N = 111) had a larger volume of the left amygdala (β = 0.023, pcorrected = 0.038). Individuals that reported a history of visual PLEs (N = 435) were found to have reduced white matter microstructure of the forceps major (β = -0.029, pcorrected = 0.009), an effect that was more marked in participants who reported PLEs as distressing. These associations were not accounted for by diagnoses of psychotic or depressive illness, nor the known risk factors for psychotic symptoms of childhood adversity or cannabis use. These findings suggest altered regional gray matter volumes and white matter microstructure in association with PLEs in the general population. They further suggest that these alterations may appear more frequently with the presentation of different psychotic symptoms in the absence of clinically diagnosed psychotic disorders.
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Affiliation(s)
- Julie Schoorl
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Miruna C Barbu
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Xueyi Shen
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Mat R Harris
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Mark J Adams
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Heather C Whalley
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK.
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10
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Simões B, Vassos E, Shergill S, McDonald C, Toulopoulou T, Kalidindi S, Kane F, Murray R, Bramon E, Ferreira H, Prata D. Schizophrenia polygenic risk score influence on white matter microstructure. J Psychiatr Res 2020; 121:62-67. [PMID: 31770658 DOI: 10.1016/j.jpsychires.2019.11.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 11/17/2019] [Accepted: 11/18/2019] [Indexed: 12/25/2022]
Abstract
Schizophrenia (SZ) and bipolar disorder (BD) are highly heritable, share symptomatology, and have a polygenic architecture. The impact of recent polygenic risk scores (PRS) for psychosis, which combine multiple genome-wide associated risk variations, should be assessed on heritable brain phenotypes also previously associated with the illnesses, for a better understanding of the pathways to disease. We have recently reported on the current SZ PRS's ability to predict 1st episode of psychosis case-control status and general cognition. Herein, we test its penetrance on white matter microstructure, which is known to be impaired in SZ, in BD and their relatives, using 141 participants (including SZ, BP, relatives of SZ or BP patients, and healthy volunteers), and two white matter integrity indexes: fractional anisotropy (FA) and mean diffusivity (MD). No significant correlation between the SZ PRS and FA or MD was found, thus it remains unclear whether white matter changes are primarily associated with SZ genetic risk profiles.
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Affiliation(s)
- Beatriz Simões
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Sukhi Shergill
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), NCBES Galway Neuroscience Centre, National University of Ireland Galway, Ireland
| | - Timothea Toulopoulou
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Psychology, The University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Psychology, Bilkent University, Turkey
| | - Sridevi Kalidindi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Fergus Kane
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Robin Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Elvira Bramon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Mental Health Neurosciences Research Department, Division of Psychiatry, University College London, London, UK
| | - Hugo Ferreira
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal
| | - Diana Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Instituto Universitário de Lisboa (ISCTE-IUL), Centro de Investigação e Intervenção Social, Lisboa, Portugal.
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11
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Dooley N, O'Hanlon E, Healy C, Adair A, McCandless C, Coppinger D, Kelleher I, Clarke M, Leemans A, Frodl T, Cannon M. Psychotic experiences in childhood are associated with increased structural integrity of the left arcuate fasciculus - A population-based case-control study. Schizophr Res 2020; 215:378-384. [PMID: 31495700 DOI: 10.1016/j.schres.2019.08.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 06/26/2019] [Accepted: 08/19/2019] [Indexed: 01/03/2023]
Abstract
Around 1 in 5 children under 13 years old experience sub-clinical psychotic experiences (PEs) like hallucinations and delusions. While PEs in childhood are a significant risk factor for adult psychotic disorders, the majority of those experiencing childhood PEs do not develop a psychotic disorder. Individual differences in regional brain maturation rates may be responsible for this age-related and often transient emergence of PEs. Fronto-temporal association tracts undergo extensive maturation and myelination throughout childhood and adolescence, thus we focus on individual differences in one such tract, the arcuate fasciculus. A normative population-based sample of children (aged 11-13) attended a clinical interview and MRI (n = 100), 25 of whom were identified as reporting strong PEs. This group had reduced mean and radial diffusivity in the arcuate fasciculus compared with a group of matched controls (n = 25) who reported no PEs. The group difference was greater in the left hemisphere than the right. Mediation analyses showed that this group difference was driven predominantly by perceptual disturbances and an along-tract analysis showed that the group difference was greatest approximately halfway between the frontal and temporal termination points of the tract (adjacent to the left lateral ventricle). This study is the first to investigate links between arcuate fasciculus diffusivity and psychotic experiences in a population sample of children.
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Affiliation(s)
- Niamh Dooley
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
| | - Erik O'Hanlon
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
| | - Colm Healy
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland.
| | - Amy Adair
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
| | - Conor McCandless
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland.
| | - David Coppinger
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland.
| | - Ian Kelleher
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland.
| | - Mary Clarke
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland.
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, the Netherlands.
| | - Thomas Frodl
- Otto-von-Guericke University Magdeburg, Department of Psychiatry and Psychotherapy, Magdeburg, Germany.
| | - Mary Cannon
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
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12
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Madigand J, Tréhout M, Delcroix N, Dollfus S, Leroux E. Corpus callosum microstructural and macrostructural abnormalities in schizophrenia according to the stage of disease. Psychiatry Res Neuroimaging 2019; 291:63-70. [PMID: 31401547 DOI: 10.1016/j.pscychresns.2019.08.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 08/05/2019] [Accepted: 08/05/2019] [Indexed: 12/17/2022]
Abstract
Corpus callosum (CC) volume and surface (macrostructural) studies remain controversial and have not considered the illness duration (ID) systematically. Regardless of ID, some CC macrostructural studies have shown no difference between SZ patients and healthy controls (HC), whereas others have reported macrostructural abnormalities in SZ. Conversely, CC microstructural studies are more in agreement with alterations in CC integrity regardless of the patients' ID, but the direction and degree of these abnormalities over time remain unknown. Moreover, no study has explored both the micro- and macrostructure of the CC in SZ by considering the stage of disease. Both CC micro- and macrostructural data were investigated in 43 SZ patients and compared between two patient groups (21 patients with a short ID and 22 with a long ID) and HC (23 participants) using diffusion tensor and structural imaging. CC microstructural alterations were detected in both SZ groups compared to the HC group, without differences between the SZ groups. In contrast, CC macrostructural alterations were only found in the long ID group. CC microstructural alterations might be detected in schizophrenia at an early stage, without an increase of magnitude thereafter, while CC macrostructural alterations might become apparent at later stages of the illness.
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Affiliation(s)
- Jérémy Madigand
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, Caen F-14000, France; CHU de Caen, Service de psychiatrie Adulte, Centre Esquirol, Caen F-14000, France; Normandie Univ, UNICAEN, UFR de Médecine (Medical School), Caen F-14000, France.
| | - Maxime Tréhout
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, Caen F-14000, France; CHU de Caen, Service de psychiatrie Adulte, Centre Esquirol, Caen F-14000, France; Normandie Univ, UNICAEN, UFR de Médecine (Medical School), Caen F-14000, France.
| | - Nicolas Delcroix
- Normandie Univ, UNICAEN, CNRS, UMS GIP CYCERON, Caen F-14000, France.
| | - Sonia Dollfus
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, Caen F-14000, France; CHU de Caen, Service de psychiatrie Adulte, Centre Esquirol, Caen F-14000, France; Normandie Univ, UNICAEN, UFR de Médecine (Medical School), Caen F-14000, France.
| | - Elise Leroux
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, Caen F-14000, France.
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13
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Xie S, Liu B, Wang J, Zhou Y, Cui Y, Song M, Chen Y, Li P, Lu L, Lv L, Wang H, Yan H, Yan J, Zhang H, Zhang D, Jiang T. Hyperconnectivity in perisylvian language pathways in schizophrenia with auditory verbal hallucinations: A multi-site diffusion MRI study. Schizophr Res 2019; 210:262-269. [PMID: 30587426 DOI: 10.1016/j.schres.2018.12.024] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 11/22/2018] [Accepted: 12/16/2018] [Indexed: 01/30/2023]
Abstract
Auditory verbal hallucinations (AVH) are one of the cardinal symptoms of schizophrenia, and are proposed to be associated with altered integrity of the left perisylvian language pathways. There is considerable heterogeneity in the pattern of white matter abnormalities across previous studies. We investigated the white matter integrity of the perisylvian language pathways in schizophrenia patients with AVH based on a relatively large sample dataset from four different sites. 113 schizophrenia patients with AVH, 96 patients without AVH (nAVH), and 269 healthy controls (HC) underwent diffusion-weighted imaging. Between-group comparisons were performed on the fractional anisotropy (FA) values of the anterior, posterior, and long segment fasciculi within the perisylvian language network. Analysis of covariance among the 3 groups revealed the long segment of the left perisylvian language pathways was significantly different in FA value. Post hoc analysis showed that compared with the HC group, the AVH group had significantly higher FA measurements in the left long segment. The nAVH group showed intermediate FA values for this segment compared to the AVH and HC group but did not differ significantly from either group. Furthermore, the prospective meta-analyses also revealed that FA value of the left long segment was significantly higher in the AVH group compared to the HC group. Our findings suggest the hyperconnectivity pattern of the left perisylvian language pathways in the presence of AVH in schizophrenia and support the self-monitoring of inner speech model.
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Affiliation(s)
- Sangma Xie
- College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Bing Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100190, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Jiaojian Wang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yuan Zhou
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yue Cui
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100190, China
| | - Ming Song
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100190, China
| | - Yunchun Chen
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an 710032, China
| | - Peng Li
- Peking University Sixth Hospital/Institute of Mental Health, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing 100191, China
| | - Lin Lu
- Peking University Sixth Hospital/Institute of Mental Health, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing 100191, China
| | - Luxian Lv
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an 710032, China
| | - Hao Yan
- Peking University Sixth Hospital/Institute of Mental Health, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing 100191, China
| | - Jun Yan
- Peking University Sixth Hospital/Institute of Mental Health, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing 100191, China
| | - Hongxing Zhang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Department of Psychology, Xinxiang Medical University, Xinxiang 453002, China
| | - Dai Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing 100191, China; Center for Life Sciences/PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100190, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
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14
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Subtle white matter alterations in schizophrenia identified with a new measure of fiber density. Sci Rep 2019; 9:4636. [PMID: 30874571 PMCID: PMC6420505 DOI: 10.1038/s41598-019-40070-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 02/07/2019] [Indexed: 12/13/2022] Open
Abstract
Altered cerebral connectivity is one of the core pathophysiological mechanism underlying the development and progression of information-processing deficits in schizophrenia. To date, most diffusion tensor imaging (DTI) studies used fractional anisotropy (FA) to investigate disrupted white matter connections. However, a quantitative interpretation of FA changes is often impeded by the inherent limitations of the underlying tensor model. A more fine-grained measure of white matter alterations could be achieved by measuring fiber density (FD) - a novel non-tensor-derived diffusion marker. This study investigates, for the first time, FD alterations in schizophrenia patients. FD and FA maps were derived from diffusion data of 25 healthy controls (HC) and 21 patients with schizophrenia (SZ). Using tract-based spatial statistics (TBSS), group differences in FD and FA were investigated across the entire white matter. Furthermore, we performed a region of interest (ROI) analysis of frontal fasciculi to detect potential correlations between FD and positive symptoms. As a result, whole brain TBSS analysis revealed reduced FD in SZ patients compared to HC in several white matter tracts including the left and right thalamic radiation (TR), superior longitudinal fasciculus (SLF), corpus callosum (CC), and corticospinal tract (CST). In contrast, there were no significant FA differences between groups. Further, FD values in the TR were negatively correlated with the severity of positive symptoms and medication dose in SZ patients. In summary, a novel diffusion-weighted data analysis approach enabled us to identify widespread FD changes in SZ patients with most prominent white matter alterations in the frontal and subcortical regions. Our findings suggest that the new FD measure may be more sensitive to subtle changes in the white matter microstructure compared to FA, particularly in the given population. Therefore, investigating FD may be a promising approach to detect subtle changes in the white matter microstructure of altered connectivity in schizophrenia.
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15
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Drakesmith M, Parker GD, Smith J, Linden SC, Rees E, Williams N, Owen MJ, van den Bree M, Hall J, Jones DK, Linden DEJ. Genetic risk for schizophrenia and developmental delay is associated with shape and microstructure of midline white-matter structures. Transl Psychiatry 2019; 9:102. [PMID: 30804328 PMCID: PMC6389944 DOI: 10.1038/s41398-019-0440-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 02/13/2019] [Indexed: 11/22/2022] Open
Abstract
Genomic copy number variants (CNVs) are amongst the most highly penetrant genetic risk factors for neuropsychiatric disorders. The scarcity of carriers of individual CNVs and their phenotypical heterogeneity limits investigations of the associated neural mechanisms and endophenotypes. We applied a novel design based on CNV penetrance for schizophrenia (Sz) and developmental delay (DD) that allows us to identify structural sequelae that are most relevant to neuropsychiatric disorders. Our focus on brain structural abnormalities was based on the hypothesis that convergent mechanisms contributing to neurodevelopmental disorders would likely manifest in the macro- and microstructure of white matter and cortical and subcortical grey matter. Twenty one adult participants carrying neuropsychiatric risk CNVs (including those located at 22q11.2, 15q11.2, 1q21.1, 16p11.2 and 17q12) and 15 age- and gender-matched controls underwent T1-weighted structural, diffusion and relaxometry MRI. The macro- and microstructural properties of the cingulum bundles were associated with penetrance for both developmental delay and schizophrenia, in particular curvature along the anterior-posterior axis (Sz: pcorr = 0.026; DD: pcorr = 0.035) and intracellular volume fraction (Sz: pcorr = 0.019; DD: pcorr = 0.064). Further principal component analysis showed alterations in the interrelationships between the volumes of several midline white-matter structures (Sz: pcorr = 0.055; DD: pcorr = 0.027). In particular, the ratio of volumes in the splenium and body of the corpus callosum was significantly associated with both penetrance scores (Sz: p = 0.037; DD; p = 0.006). Our results are consistent with the notion that a significant alteration in developmental trajectories of midline white-matter structures constitutes a common neurodevelopmental aberration contributing to risk for schizophrenia and intellectual disability.
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Affiliation(s)
- Mark Drakesmith
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom.
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom.
| | - Greg D Parker
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- Experimental MRI Centre (EMRIC), School of Biosciences, Cardiff University, Sir Martin Evans Building, Museum Avenue, CF10 3AX, Cardiff, United Kingdom
| | - Jacqueline Smith
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Stefanie C Linden
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Elliott Rees
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Nigel Williams
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Michael J Owen
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Marianne van den Bree
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- School of Psychology, Faculty of Health Sciences, Australian Catholic University, Melbourne, VIC, 3065, Australia
| | - David E J Linden
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Maindy Road, Cardiff, CF24 4HQ, United Kingdom
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
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16
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Siddi S, Nuñez C, Senior C, Preti A, Cuevas-Esteban J, Ochoa S, Brébion G, Stephan-Otto C. Depression, auditory-verbal hallucinations, and delusions in patients with schizophrenia: Different patterns of association with prefrontal gray and white matter volume. Psychiatry Res Neuroimaging 2019; 283:55-63. [PMID: 30544051 DOI: 10.1016/j.pscychresns.2018.12.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 11/06/2018] [Accepted: 12/03/2018] [Indexed: 12/15/2022]
Abstract
Structural brain abnormalities, including decreased gray matter (GM) and white matter (WM) volume, have been observed in patients with schizophrenia. These decrements were found to be associated with positive and negative symptoms, but affective symptoms (depression and anxiety) were poorly explored. We hypothesized that abnormalities in GM and WM volume might also be related to affective symptoms. GM and WM volumes were calculated from high-resolution T1 structural images acquired from 24 patients with schizophrenia and 26 healthy controls, and the associations of positive, negative, and affective symptoms with the brain volumes that showed significant reduction in patients were investigated. Patients demonstrated GM volume reductions in the bilateral prefrontal cortex, and WM volume reductions in the right frontal and left corpus callosum. Prefrontal cortex volume was significantly and inversely associated with both auditory-verbal hallucinations and depression severity. WM volume alterations, in contrast, were related to alogia, anhedonia, and delusions. The combined impact of auditory-verbal hallucinations and depression on similar sub-regions of the prefrontal cortex suggests that depression is involved in hearing voices. Further, this adverse impact of depression on prefrontal GM volume may underlie the impairment demonstrated by these patients in cognitive tasks that rely on executive processes.
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Affiliation(s)
- Sara Siddi
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Section of Clinical Psychology, Department of Education, Psychology, and Philosophy, University of Cagliari, Italy.
| | - Christian Nuñez
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Carl Senior
- School of Life & Health Sciences, Aston University, Birmingham, UK
| | - Antonio Preti
- Section of Clinical Psychology, Department of Education, Psychology, and Philosophy, University of Cagliari, Italy; Center of Liaison Psychiatry and Psychosomatics, University Hospital, University of Cagliari, Cagliari, Italy
| | - Jorge Cuevas-Esteban
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain; Servei de Psiquiatria, Hospital Universitari Germans Trias i Pujol, Badalona, Catalonia, Spain
| | - Susana Ochoa
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Gildas Brébion
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Christian Stephan-Otto
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
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17
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Kelly S, Jahanshad N, Zalesky A, Kochunov P, Agartz I, Alloza C, Andreassen OA, Arango C, Banaj N, Bouix S, Bousman CA, Brouwer RM, Bruggemann J, Bustillo J, Cahn W, Calhoun V, Cannon D, Carr V, Catts S, Chen J, Chen JX, Chen X, Chiapponi C, Cho KK, Ciullo V, Corvin AS, Crespo-Facorro B, Cropley V, De Rossi P, Diaz-Caneja CM, Dickie EW, Ehrlich S, Fan FM, Faskowitz J, Fatouros-Bergman H, Flyckt L, Ford JM, Fouche JP, Fukunaga M, Gill M, Glahn DC, Gollub R, Goudzwaard ED, Guo H, Gur RE, Gur RC, Gurholt TP, Hashimoto R, Hatton SN, Henskens FA, Hibar DP, Hickie IB, Hong LE, Horacek J, Howells FM, Hulshoff Pol HE, Hyde CL, Isaev D, Jablensky A, Jansen PR, Janssen J, Jönsson EG, Jung LA, Kahn RS, Kikinis Z, Liu K, Klauser P, Knöchel C, Kubicki M, Lagopoulos J, Langen C, Lawrie S, Lenroot RK, Lim KO, Lopez-Jaramillo C, Lyall A, Magnotta V, Mandl RCW, Mathalon DH, McCarley RW, McCarthy-Jones S, McDonald C, McEwen S, McIntosh A, Melicher T, Mesholam-Gately RI, Michie PT, Mowry B, Mueller BA, Newell DT, O'Donnell P, Oertel-Knöchel V, Oestreich L, Paciga SA, Pantelis C, Pasternak O, Pearlson G, Pellicano GR, Pereira A, Pineda Zapata J, Piras F, Potkin SG, Preda A, Rasser PE, Roalf DR, Roiz R, Roos A, Rotenberg D, Satterthwaite TD, Savadjiev P, Schall U, Scott RJ, Seal ML, Seidman LJ, Shannon Weickert C, Whelan CD, Shenton ME, Kwon JS, Spalletta G, Spaniel F, Sprooten E, Stäblein M, Stein DJ, Sundram S, Tan Y, Tan S, Tang S, Temmingh HS, Westlye LT, Tønnesen S, Tordesillas-Gutierrez D, Doan NT, Vaidya J, van Haren NEM, Vargas CD, Vecchio D, Velakoulis D, Voineskos A, Voyvodic JQ, Wang Z, Wan P, Wei D, Weickert TW, Whalley H, White T, Whitford TJ, Wojcik JD, Xiang H, Xie Z, Yamamori H, Yang F, Yao N, Zhang G, Zhao J, van Erp TGM, Turner J, Thompson PM, Donohoe G. Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group. Mol Psychiatry 2018; 23:1261-1269. [PMID: 29038599 PMCID: PMC5984078 DOI: 10.1038/mp.2017.170] [Citation(s) in RCA: 435] [Impact Index Per Article: 72.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 05/02/2017] [Accepted: 06/07/2017] [Indexed: 12/15/2022]
Abstract
The regional distribution of white matter (WM) abnormalities in schizophrenia remains poorly understood, and reported disease effects on the brain vary widely between studies. In an effort to identify commonalities across studies, we perform what we believe is the first ever large-scale coordinated study of WM microstructural differences in schizophrenia. Our analysis consisted of 2359 healthy controls and 1963 schizophrenia patients from 29 independent international studies; we harmonized the processing and statistical analyses of diffusion tensor imaging (DTI) data across sites and meta-analyzed effects across studies. Significant reductions in fractional anisotropy (FA) in schizophrenia patients were widespread, and detected in 20 of 25 regions of interest within a WM skeleton representing all major WM fasciculi. Effect sizes varied by region, peaking at (d=0.42) for the entire WM skeleton, driven more by peripheral areas as opposed to the core WM where regions of interest were defined. The anterior corona radiata (d=0.40) and corpus callosum (d=0.39), specifically its body (d=0.39) and genu (d=0.37), showed greatest effects. Significant decreases, to lesser degrees, were observed in almost all regions analyzed. Larger effect sizes were observed for FA than diffusivity measures; significantly higher mean and radial diffusivity was observed for schizophrenia patients compared with controls. No significant effects of age at onset of schizophrenia or medication dosage were detected. As the largest coordinated analysis of WM differences in a psychiatric disorder to date, the present study provides a robust profile of widespread WM abnormalities in schizophrenia patients worldwide. Interactive three-dimensional visualization of the results is available at www.enigma-viewer.org.
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Affiliation(s)
- S Kelly
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA,Harvard Medical School, Boston, MA, USA,Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA. E-mail:
| | - N Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - A Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - P Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - I Agartz
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - C Alloza
- University of Edinburgh, Edinburgh, UK
| | | | - C Arango
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - N Banaj
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - S Bouix
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - C A Bousman
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia,Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia,Department of General Practice, The University of Melbourne, Parkville, VIC, Australia,Swinburne University of Technology, Melbourne, VIC, Australia
| | - R M Brouwer
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J Bruggemann
- Neuroscience Research Australia and School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - J Bustillo
- University of New Mexico, Albuquerque, NM, USA
| | - W Cahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - V Calhoun
- The Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA,The Mind Research Network, Albuquerque, NM, USA
| | - D Cannon
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - V Carr
- Neuroscience Research Australia and School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - S Catts
- Discipline of Psychiatry, School of Medicine, University of Queensland, Herston, QLD, Australia
| | - J Chen
- Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA
| | - J-x Chen
- Beijing Huilongguan Hospital, Beijing, China
| | - X Chen
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | | | - Kl K Cho
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - V Ciullo
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - A S Corvin
- Department of Psychiatry and Neuropsychiatric Genetics Research Group, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - B Crespo-Facorro
- University Hospital Marqués de Valdecilla, IDIVAL, Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - V Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - P De Rossi
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,Department NESMOS, Faculty of Medicine and Psychology, University ‘Sapienza’ of Rome, Rome, Italy,Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - C M Diaz-Caneja
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - E W Dickie
- Center for Addiction and Mental Health, Toronto, ON, Canada
| | - S Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Technische Universität Dresden, Faculty of Medicine, University Hospital C.G. Carus, Dresden, Germany
| | - F-m Fan
- Beijing Huilongguan Hospital, Beijing, China
| | - J Faskowitz
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - H Fatouros-Bergman
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - L Flyckt
- University of New South Wales, School of Psychiatry, Sydney, NSW, Australia,The University of Queensland, Queensland Brain Institute and Centre for Advanced Imaging, Brisbane, QLD, Australia
| | - J M Ford
- University of California, VAMC, San Francisco, CA, USA
| | - J-P Fouche
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - M Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
| | - M Gill
- Department of Psychiatry and Neuropsychiatric Genetics Research Group, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - D C Glahn
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital and Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - R Gollub
- Harvard Medical School, Boston, MA, USA,Departments of Psychiatry and Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - E D Goudzwaard
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - H Guo
- Zhumadian Psychiatry Hospital, Henan Province, China
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - T P Gurholt
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - R Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan,Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - S N Hatton
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - F A Henskens
- School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia,Health Behaviour Research Group, University of Newcastle, Callaghan, NSW, Australia,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - D P Hibar
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - I B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - L E Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - J Horacek
- National Institute of Mental Health, Klecany, Czech Republic,Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - F M Howells
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - H E Hulshoff Pol
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C L Hyde
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - D Isaev
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - A Jablensky
- University of Western Australia, Perth, WA, Australia
| | - P R Jansen
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - J Janssen
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain,Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - E G Jönsson
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - L A Jung
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - R S Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Z Kikinis
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - K Liu
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - P Klauser
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia,Brain and Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Clayton, VIC, Australia,Department of Psychiatry, Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - C Knöchel
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - M Kubicki
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Lagopoulos
- Sunshine Coast Mind and Neuroscience Institute, University of the Sunshine Coast QLD, Australia, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - C Langen
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - S Lawrie
- University of Edinburgh, Edinburgh, UK
| | - R K Lenroot
- Neuroscience Research Australia and School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - K O Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - C Lopez-Jaramillo
- Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Mood Disorder Program, Hospital Universitario San Vicente Fundación, Medellín, Colombia
| | - A Lyall
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - R C W Mandl
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - D H Mathalon
- University of California, VAMC, San Francisco, CA, USA
| | | | - S McCarthy-Jones
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - C McDonald
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - S McEwen
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - T Melicher
- Third Faculty of Medicine, Charles University, Prague, Czech Republic,The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - R I Mesholam-Gately
- Harvard Medical School and Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess, Medical Center, Boston, MA, USA
| | - P T Michie
- Hunter Medical Research Institute, Newcastle, NSW, Australia,The University of Newcastle, Newcastle, NSW, Australia,Schizophrenia Research Institute, Sydney, NSW, Australia
| | - B Mowry
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia and Queensland Centre for Mental Health Research, Brisbane and Queensland Centre for Mental Health Research, Brisbane, QLD, Australia
| | - B A Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - D T Newell
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - P O'Donnell
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - V Oertel-Knöchel
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - L Oestreich
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia and Queensland Centre for Mental Health Research, Brisbane and Queensland Centre for Mental Health Research, Brisbane, QLD, Australia
| | - S A Paciga
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia,Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia,Schizophrenia Research Institute, Sydney, NSW, Australia,Centre for Neural Engineering (CfNE), Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC, Australia
| | - O Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - G Pearlson
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital and Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - G R Pellicano
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - A Pereira
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | | | - F Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,School of Biomedical Sciences, Faculty of Health, the University of Newcastle, Callaghan, NSW, Australia
| | - S G Potkin
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - A Preda
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - P E Rasser
- Hunter Medical Research Institute, Newcastle, NSW, Australia,Priority Centre for Brain and Mental Health Research, The University of Newcastle, Newcastle, NSW, Australia
| | - D R Roalf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - R Roiz
- University Hospital Marqués de Valdecilla, IDIVAL, Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - A Roos
- SU/UCT MRC Unit on Anxiety and Stress Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - D Rotenberg
- Center for Addiction and Mental Health, Toronto, ON, Canada
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - P Savadjiev
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - U Schall
- Hunter Medical Research Institute, Newcastle, NSW, Australia,Priority Centre for Brain and Mental Health Research, The University of Newcastle, Newcastle, NSW, Australia
| | - R J Scott
- Hunter Medical Research Institute, Newcastle, NSW, Australia,School of Biomedical Sciences, Faculty of Health, the University of Newcastle, Callaghan, NSW, Australia
| | - M L Seal
- Murdoch Childrens Research Institute, The Royal Children’s Hospital, Parkville, VIC, Australia
| | - L J Seidman
- Harvard Medical School, Boston, MA, USA,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA,Harvard Medical School and Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess, Medical Center, Boston, MA, USA
| | - C Shannon Weickert
- Schizophrenia Research Institute, Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW, Australia,School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - C D Whelan
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - M E Shenton
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA,VA Boston Healthcare System, Boston, MA, USA
| | - J S Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - G Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - F Spaniel
- National Institute of Mental Health, Klecany, Czech Republic,Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - E Sprooten
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital and Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - M Stäblein
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - D J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa,Department of Psychiatry and MRC Unit on Anxiety and Stress Disorders, University of Cape Town, Cape Town, South Africa
| | - S Sundram
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia,Department of Psychiatry, School of Clinical Sciences, Monash University and Monash Health, Clayton, VIC, Australia
| | - Y Tan
- Beijing Huilongguan Hospital, Beijing, China
| | - S Tan
- Beijing Huilongguan Hospital, Beijing, China
| | - S Tang
- Chongqing Three Gorges Central Hospital, Chongqing, China
| | - H S Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - L T Westlye
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - S Tønnesen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - D Tordesillas-Gutierrez
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain,Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
| | - N T Doan
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - J Vaidya
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - N E M van Haren
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C D Vargas
- Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - D Vecchio
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - D Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - A Voineskos
- Kimel Family Translational Imaging-Genetics Research Laboratory, Campbell Family Mental Health Research Institute, CAMH Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - J Q Voyvodic
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Z Wang
- Beijing Huilongguan Hospital, Beijing, China
| | - P Wan
- Zhumadian Psychiatry Hospital, Henan Province, China
| | - D Wei
- Luoyang Fifth People's Hospital, Henan Province, China
| | - T W Weickert
- Schizophrenia Research Institute, Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW, Australia,School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - H Whalley
- University of Edinburgh, Edinburgh, UK
| | - T White
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - T J Whitford
- University of New South Wales, School of Psychiatry, Sydney, NSW, Australia
| | - J D Wojcik
- Harvard Medical School and Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess, Medical Center, Boston, MA, USA
| | - H Xiang
- Chongqing Three Gorges Central Hospital, Chongqing, China
| | - Z Xie
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - H Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - F Yang
- Beijing Huilongguan Hospital, Beijing, China
| | - N Yao
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - G Zhang
- Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, MD, USA
| | - J Zhao
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland,School of Psychology, Shaanxi Normal University and Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi’an, Shaanxi, China
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - J Turner
- Psychology Department & Neuroscience Institute, Georgia State University, Atlanta, GA, USA
| | - P M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - G Donohoe
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
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18
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Vitolo E, Tatu MK, Pignolo C, Cauda F, Costa T, Ando' A, Zennaro A. White matter and schizophrenia: A meta-analysis of voxel-based morphometry and diffusion tensor imaging studies. Psychiatry Res Neuroimaging 2017; 270:8-21. [PMID: 28988022 DOI: 10.1016/j.pscychresns.2017.09.014] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2017] [Revised: 09/20/2017] [Accepted: 09/20/2017] [Indexed: 12/15/2022]
Abstract
Voxel-based morphometry (VBM) and diffusion tensor imaging (DTI) are the most implemented methodologies to detect alterations of both gray and white matter (WM). However, the role of WM in mental disorders is still not well defined. We aimed at clarifying the role of WM disruption in schizophrenia and at identifying the most frequently involved brain networks. A systematic literature search was conducted to identify VBM and DTI studies focusing on WM alterations in patients with schizophrenia compared to control subjects. We selected studies reporting the coordinates of WM reductions and we performed the anatomical likelihood estimation (ALE). Moreover, we labeled the WM bundles with an anatomical atlas and compared VBM and DTI ALE-scores of each significant WM tract. A total of 59 studies were eligible for the meta-analysis. WM alterations were reported in 31 and 34 foci with VBM and DTI methods, respectively. The most occurred WM bundles in both VBM and DTI studies and largely involved in schizophrenia were long projection fibers, callosal and commissural fibers, part of motor descending fibers, and fronto-temporal-limbic pathways. The meta-analysis showed a widespread WM disruption in schizophrenia involving specific cerebral circuits instead of well-defined regions.
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Affiliation(s)
- Enrico Vitolo
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
| | - Mona Karina Tatu
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
| | - Claudia Pignolo
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
| | - Franco Cauda
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy; GCS-fMRI, Koelliker Hospital, Corso Galileo Ferraris 247/255, 10134 Turin, TO, Italy.
| | - Tommaso Costa
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
| | - Agata Ando'
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
| | - Alessandro Zennaro
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
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19
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Zhao X, Tian L, Yan J, Yue W, Yan H, Zhang D. Abnormal Rich-Club Organization Associated with Compromised Cognitive Function in Patients with Schizophrenia and Their Unaffected Parents. Neurosci Bull 2017. [PMID: 28646350 DOI: 10.1007/s12264-017-0151-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Schizophrenia is considered to be a disorder of brain connectivity, which might result from a disproportionally impaired rich-club organization. The rich-club is composed of highly interconnected hub regions that play crucial roles in integrating information between different brain regions. Few studies have yet investigated whether the structural rich-club organization is impaired in patients and their first-degree relatives. In this study, we established a weighted network model of white matter connections using diffusion tensor imaging of 19 patients and 39 unaffected parents, 22 young healthy controls for the patients, and 25 old healthy controls for the parents. Feeder edges between rich-club nodes and non-rich-club nodes were significantly decreased in both schizophrenic patients and their unaffected parents compared with controls. Furthermore, the feeder edges showed significant positive correlations with the scores in Category Fluency Test-animal naming in the unaffected parents. Specific feeder edges exhibited discriminative power with accuracy of 84.4% in distinguishing unaffected parents from old healthy controls. Our findings suggest that impaired rich-club organization, especially impaired feeder edges, may be related to familial vulnerability to schizophrenia, possibly reflecting a genetic predisposition for schizophrenia.
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Affiliation(s)
- Xin Zhao
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China.,National Clinical Research Center for Mental Disorders and Key Laboratory of Mental Health (Ministry of Health), Peking University, Beijing, 100191, China
| | - Lin Tian
- Department of Psychiatry, Wuxi Mental Health Center, Nanjing Medical University, Wuxi, 214151, China.,Wuxi Tongren International Rehabilitation Hospital, Wuxi, 214151, China
| | - Jun Yan
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China.,National Clinical Research Center for Mental Disorders and Key Laboratory of Mental Health (Ministry of Health), Peking University, Beijing, 100191, China
| | - Weihua Yue
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China.,National Clinical Research Center for Mental Disorders and Key Laboratory of Mental Health (Ministry of Health), Peking University, Beijing, 100191, China
| | - Hao Yan
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China. .,National Clinical Research Center for Mental Disorders and Key Laboratory of Mental Health (Ministry of Health), Peking University, Beijing, 100191, China.
| | - Dai Zhang
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China. .,National Clinical Research Center for Mental Disorders and Key Laboratory of Mental Health (Ministry of Health), Peking University, Beijing, 100191, China. .,Peking University-Tsinghua University Joint Center for Life Sciences/ PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China.
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20
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Molina V, Lubeiro A, Soto O, Rodriguez M, Álvarez A, Hernández R, de Luis-García R. Alterations in prefrontal connectivity in schizophrenia assessed using diffusion magnetic resonance imaging. Prog Neuropsychopharmacol Biol Psychiatry 2017; 76:107-115. [PMID: 28288855 DOI: 10.1016/j.pnpbp.2017.03.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 03/09/2017] [Accepted: 03/09/2017] [Indexed: 10/20/2022]
Abstract
BACKGROUND Spatial and biological characteristics of structural frontal disconnectivity in schizophrenia remain incompletely understood. Simultaneous streamline count (SC) and fractional anisotropy (FA) analyses may yield relevant complementary information to this end. METHODS Using 3T diffusion magnetic resonance imaging both SC and FA were calculated for the tracts linking lateral and medial subregions of prefrontal cortex (PFC) to cingulate, hippocampus, caudate and thalamus in 27 schizophrenia patients (14 first-episodes) and 27 controls. Relationships of these parameters with cognition, symptoms, treatment doses and illness duration were assessed where significant between-groups differences were detected. RESULTS Patients showed lower SC and FA in the tracts linking lateral and medial PFC to thalamus (likely corresponding to anterior thalamic peduncle) and lower FA in those linking PFC to caudate (likely through internal capsule), right caudal anterior cingulate and left hippocampus (likely corresponding to hippocampal-prefrontal pathway). Moreover, patients showed greater SC values for the tracts linking medial PFC and left caudal anterior cingulate. SC and FA values for the tracts linking PFC and caudal anterior cingulate were positively related to motor speed, executive function, problem solving and completed categories in WCST. FA for the tract linking right lateral PFC and caudate was directly related to positive symptoms and FA for the tract linking left medial PFC and left thalamus was inversely related to negative symptoms. Treatment doses were not associated with SC or FA values in any tract. Illness duration was negatively associated with SC and FA in the tracts linking PFC and subcortical areas. CONCLUSIONS Widespread alterations in frontal structural connectivity of PFC can be found in schizophrenia, and are related to cognition, symptoms and illness duration.
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Affiliation(s)
- Vicente Molina
- Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain; Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain; Neurosciences Institute of Castilla y León (INCYL), Pintor Fernando Gallego, 1, 37007, University of Salamanca, Spain; CIBERSAM (Biomedical Research Network in Mental Health), Instituto de Salud Carlos III, Spain.
| | - Alba Lubeiro
- Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain
| | - Oscar Soto
- Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain
| | - Margarita Rodriguez
- Radiology Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
| | - Aldara Álvarez
- Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
| | - Rebeca Hernández
- Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
| | - Rodrigo de Luis-García
- Imaging Processing Laboratory, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain
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21
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White Matter Integrity in Genetic High-Risk Individuals and First-Episode Schizophrenia Patients: Similarities and Disassociations. BIOMED RESEARCH INTERNATIONAL 2017; 2017:3107845. [PMID: 28401151 PMCID: PMC5376415 DOI: 10.1155/2017/3107845] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2016] [Accepted: 02/16/2017] [Indexed: 02/01/2023]
Abstract
White matter (WM) neuroimaging studies have shown varied findings at different stages of schizophrenia (SZ). Understanding these variations may elucidate distinct markers of genetic vulnerability and conversion to psychosis. To examine the similarities and differences in WM connectivity between those at-risk for and in early stages of SZ, a cross-sectional diffusion tensor imaging study of 48 individuals diagnosed with first-episode SZ (FE-SZ), 37 nonpsychotic individuals at a high genetic risk of SZ (GHR-SZ), and 67 healthy controls (HC) was conducted. Decreased fractional anisotropy (FA) in the corpus callosum (CC), anterior cingulum (AC), and uncinate fasciculus (UF) was observed in both the GHR-SZ and FE-SZ groups, while decreased FAs in the superior longitudinal fasciculus (SLF) and the fornix were only seen in the FE-SZ participants. Additionally, both GHR-SZ and FE-SZ showed worse executive performance than HC. The left SLF III FA was significantly positively correlated with hallucinations, and right SLF II was positively correlated with thought disorder. The presence of shared WM deficits in both FE-SZ and GHR-SZ individuals may reflect the genetic liability to SZ, while the disparate FA changes in the FE-SZ group may represent symptom-generating circuitry that mediates perceptual and cognitive disturbances of SZ and ultimately culminates in the onset of psychotic episodes.
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22
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Li B, Cui LB, Xi YB, Friston KJ, Guo F, Wang HN, Zhang LC, Bai YH, Tan QR, Yin H, Lu H. Abnormal Effective Connectivity in the Brain is Involved in Auditory Verbal Hallucinations in Schizophrenia. Neurosci Bull 2017; 33:281-291. [PMID: 28224285 DOI: 10.1007/s12264-017-0101-x] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 12/13/2016] [Indexed: 12/31/2022] Open
Abstract
Information flow among auditory and language processing-related regions implicated in the pathophysiology of auditory verbal hallucinations (AVHs) in schizophrenia (SZ) remains unclear. In this study, we used stochastic dynamic causal modeling (sDCM) to quantify connections among the left dorsolateral prefrontal cortex (inner speech monitoring), auditory cortex (auditory processing), hippocampus (memory retrieval), thalamus (information filtering), and Broca's area (language production) in 17 first-episode drug-naïve SZ patients with AVHs, 15 without AVHs, and 19 healthy controls using resting-state functional magnetic resonance imaging. Finally, we performed receiver operating characteristic (ROC) analysis and correlation analysis between image measures and symptoms. sDCM revealed an increased sensitivity of auditory cortex to its thalamic afferents and a decrease in hippocampal sensitivity to auditory inputs in SZ patients with AVHs. The area under the ROC curve showed the diagnostic value of these two connections to distinguish SZ patients with AVHs from those without AVHs. Furthermore, we found a positive correlation between the strength of the connectivity from Broca's area to the auditory cortex and the severity of AVHs. These findings demonstrate, for the first time, augmented AVH-specific excitatory afferents from the thalamus to the auditory cortex in SZ patients, resulting in auditory perception without external auditory stimuli. Our results provide insights into the neural mechanisms underlying AVHs in SZ. This thalamic-auditory cortical-hippocampal dysconnectivity may also serve as a diagnostic biomarker of AVHs in SZ and a therapeutic target based on direct in vivo evidence.
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Affiliation(s)
- Baojuan Li
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, China
| | - Long-Biao Cui
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Yi-Bin Xi
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Karl J Friston
- Wellcome Trust Center for Neuroimaging, Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Fan Guo
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Hua-Ning Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Lin-Chuan Zhang
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, China
| | - Yuan-Han Bai
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Qing-Rong Tan
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Hong Yin
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
| | - Hongbing Lu
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, China.
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23
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Abstract
Auditory verbal hallucinations (AVH) are a frequently occurring phenomenon in the general population and are considered a psychotic symptom when presented in the context of a psychiatric disorder. Neuroimaging literature has shown that AVH are subserved by a variety of alterations in brain structure and function, which primarily concentrate around brain regions associated with the processing of auditory verbal stimuli and with executive control functions. However, the direction of association between AVH and brain function remains equivocal in certain research areas and needs to be carefully reviewed and interpreted. When AVH have significant impact on daily functioning, several efficacious treatments can be attempted such as antipsychotic medication, brain stimulation and cognitive-behavioural therapy. Interestingly, the neural correlates of these treatments largely overlap with brain regions involved in AVH. This suggests that the efficacy of treatment corresponds to a normalization of AVH-related brain activity. In this selected review, we give a compact yet comprehensive overview of the structural and functional neuroimaging literature on AVH, with a special focus on the neural correlates of efficacious treatment.
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Affiliation(s)
- M M Bohlken
- Department of Psychiatry,Brain Center Rudolf Magnus,University Medical Center Utrecht,3584CX Utrecht,The Netherlands
| | - K Hugdahl
- Department of Biological and Medical Psychology,University of Bergen,Bergen,Norway
| | - I E C Sommer
- Department of Psychiatry,Brain Center Rudolf Magnus,University Medical Center Utrecht,3584CX Utrecht,The Netherlands
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24
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Ćurčić-Blake B, Ford JM, Hubl D, Orlov ND, Sommer IE, Waters F, Allen P, Jardri R, Woodruff PW, David O, Mulert C, Woodward TS, Aleman A. Interaction of language, auditory and memory brain networks in auditory verbal hallucinations. Prog Neurobiol 2016; 148:1-20. [PMID: 27890810 PMCID: PMC5240789 DOI: 10.1016/j.pneurobio.2016.11.002] [Citation(s) in RCA: 143] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Revised: 10/04/2016] [Accepted: 11/20/2016] [Indexed: 12/22/2022]
Abstract
The language, auditory and memory/limbic networks are of particular relevance for auditory verbal hallucinations. An increased interaction among the auditory-language and striatal brain regions occurs while patients hallucinate. Fronto-temporal connections are often altered in AVH individuals, but there is no consensus regarding increase or decrease. Connections of the interhemispheric auditory pathway are stronger for first episode patients, but they are weaker in chronic patients. The majority of studies support hybrid AVH hypotheses in which all three networks and the striatal network are involved.
Auditory verbal hallucinations (AVH) occur in psychotic disorders, but also as a symptom of other conditions and even in healthy people. Several current theories on the origin of AVH converge, with neuroimaging studies suggesting that the language, auditory and memory/limbic networks are of particular relevance. However, reconciliation of these theories with experimental evidence is missing. We review 50 studies investigating functional (EEG and fMRI) and anatomic (diffusion tensor imaging) connectivity in these networks, and explore the evidence supporting abnormal connectivity in these networks associated with AVH. We distinguish between functional connectivity during an actual hallucination experience (symptom capture) and functional connectivity during either the resting state or a task comparing individuals who hallucinate with those who do not (symptom association studies). Symptom capture studies clearly reveal a pattern of increased coupling among the auditory, language and striatal regions. Anatomical and symptom association functional studies suggest that the interhemispheric connectivity between posterior auditory regions may depend on the phase of illness, with increases in non-psychotic individuals and first episode patients and decreases in chronic patients. Leading hypotheses involving concepts as unstable memories, source monitoring, top-down attention, and hybrid models of hallucinations are supported in part by the published connectivity data, although several caveats and inconsistencies remain. Specifically, possible changes in fronto-temporal connectivity are still under debate. Precise hypotheses concerning the directionality of connections deduced from current theoretical approaches should be tested using experimental approaches that allow for discrimination of competing hypotheses.
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Affiliation(s)
- Branislava Ćurčić-Blake
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - Judith M Ford
- University of California and Veterans Affairs Medical Center, San Francisco, United States
| | - Daniela Hubl
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Switzerland
| | - Natasza D Orlov
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Iris E Sommer
- Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands
| | - Flavie Waters
- Graylands Hospital, North Metro Health Service Mental Health, The University of Western Australia, Australia; School of Psychiatry and Clinical Neurosciences, The University of Western Australia Graylands Hospital, Australia
| | - Paul Allen
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; Department of Psychology, University of Roehampton, London, United Kingdom
| | - Renaud Jardri
- University of Lille, CNRS UMR9193, SCA-Lab & CHU Lille, Fontan Hospital (CURE), Lille, France
| | - Peter W Woodruff
- Department of Neuroscience, The University of Sheffield, United Kingdom
| | - Olivier David
- University of Grenoble Alpes, Inserm, U1216, Grenoble Institute of Neuroscience, Grenoble, France
| | - Christoph Mulert
- University Medical Center Hamburg-Eppendorf, Department of Psychiatry and Psychotherapy, Psychiatry Neuroimaging Branch, Hamburg, Germany
| | - Todd S Woodward
- Department of Psychiatry, University of British Columbia, Vancouver, Canada; BC Mental Health and Addiction Research Institute, Vancouver, Canada
| | - André Aleman
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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25
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Francis AN, Mothi SS, Mathew IT, Tandon N, Clementz B, Pearlson GD, Sweeney JA, Tamminga CA, Keshavan MS. Callosal Abnormalities Across the Psychosis Dimension: Bipolar Schizophrenia Network on Intermediate Phenotypes. Biol Psychiatry 2016; 80:627-35. [PMID: 26954565 PMCID: PMC5218825 DOI: 10.1016/j.biopsych.2015.12.026] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 11/24/2015] [Accepted: 12/15/2015] [Indexed: 12/23/2022]
Abstract
BACKGROUND The corpus callosum has been implicated in the pathogenesis of schizophrenia and bipolar disorder. However, it is unclear whether corpus callosum alterations are related to the underlying familial diathesis for psychotic disorders. We examined the corpus callosum and its subregion volumes and their relationship to cognition, psychotic symptoms, and age in probands with schizophrenia (SZ), psychotic bipolar disorder (PBD), and schizoaffective disorder; their first-degree relatives; and healthy control subjects. METHODS We present findings from morphometric and neurocognitive analyses of 1381 subjects (SZ probands, n = 224; PBD probands, n = 190; schizoaffective disorder probands, n = 142; unaffected relatives, n = 483 [SZ relatives, n = 195; PBD relatives, n = 175; schizoaffective disorder relatives, n = 113]; control subjects, n = 342). Magnetization prepared rapid acquisition gradient-echo T1 scans across five sites were obtained using 3-tesla magnets. Image processing was done using FreeSurfer Version 5.1. Neurocognitive function was measured using the Brief Assessment of Cognition in Schizophrenia scale. RESULTS Anterior and posterior splenial volumes were significantly reduced across the groups. The SZ and PBD probands showed robust and significant reductions, whereas relatives showed significant reductions of intermediate severity. The splenial volumes were positively but differentially correlated with aspects of cognition in the probands and their relatives. Proband groups showed a significant age-related decrease in the volume of the anterior splenium compared with control subjects. Among the psychosis groups, the anterior splenium in probands with PBD showed a stronger correlation with psychotic symptoms, as shown by the Positive and Negative Syndrome Scale. All five subregions showed significantly high familiality. CONCLUSIONS The splenial volumes were significantly reduced across the psychosis dimension. However, this volume reduction impacts cognition and clinical manifestation of the illnesses differentially.
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Affiliation(s)
- Alan N Francis
- Brain Imaging Center, McLean Hospital, Harvard Medical School, Belmont, Massachusetts.
| | - Suraj S Mothi
- Beth Israel Deaconess Medical Center, Harvard University, Boston
| | - Ian T Mathew
- Beth Israel Deaconess Medical Center, Harvard University, Boston
| | - Neeraj Tandon
- Beth Israel Deaconess Medical Center, Harvard University, Boston
| | - Brett Clementz
- Department of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford; Yale University School of Medicine, New Haven, Connecticut
| | - John A Sweeney
- University of Texas Southwestern Medical Center, Dallas, Texas
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26
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Alderson-Day B, Diederen K, Fernyhough C, Ford JM, Horga G, Margulies DS, McCarthy-Jones S, Northoff G, Shine JM, Turner J, van de Ven V, van Lutterveld R, Waters F, Jardri R. Auditory Hallucinations and the Brain's Resting-State Networks: Findings and Methodological Observations. Schizophr Bull 2016; 42:1110-23. [PMID: 27280452 PMCID: PMC4988751 DOI: 10.1093/schbul/sbw078] [Citation(s) in RCA: 91] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
In recent years, there has been increasing interest in the potential for alterations to the brain's resting-state networks (RSNs) to explain various kinds of psychopathology. RSNs provide an intriguing new explanatory framework for hallucinations, which can occur in different modalities and population groups, but which remain poorly understood. This collaboration from the International Consortium on Hallucination Research (ICHR) reports on the evidence linking resting-state alterations to auditory hallucinations (AH) and provides a critical appraisal of the methodological approaches used in this area. In the report, we describe findings from resting connectivity fMRI in AH (in schizophrenia and nonclinical individuals) and compare them with findings from neurophysiological research, structural MRI, and research on visual hallucinations (VH). In AH, various studies show resting connectivity differences in left-hemisphere auditory and language regions, as well as atypical interaction of the default mode network and RSNs linked to cognitive control and salience. As the latter are also evident in studies of VH, this points to a domain-general mechanism for hallucinations alongside modality-specific changes to RSNs in different sensory regions. However, we also observed high methodological heterogeneity in the current literature, affecting the ability to make clear comparisons between studies. To address this, we provide some methodological recommendations and options for future research on the resting state and hallucinations.
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Affiliation(s)
| | - Kelly Diederen
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | | | - Judith M. Ford
- Department of Psychiatry, School of Medicine, University of California, San Francisco, San Francisco, CA
| | - Guillermo Horga
- New York State Psychiatric Institute, Columbia University Medical Center, New York, NY
| | - Daniel S. Margulies
- Max Planck Research Group for Neuroanatomy & Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | | | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, The Royal’s Institute of Mental Health Research, Ottawa, ON, Canada
| | - James M. Shine
- Department of Psychology, Stanford University, Stanford, CA
| | - Jessica Turner
- Department of Psychology, Neuroscience Institute, Georgia State University, Atlanta, GA
| | - Vincent van de Ven
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Remko van Lutterveld
- Center for Mindfulness, University of Massachusetts Medical School, Worcester, MA
| | - Flavie Waters
- North Metro Health Service Mental Health, Graylands Health Campus, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, WA, Australia
| | - Renaud Jardri
- Univ Lille, CNRS (UMR 9193), SCALab & CHU Lille, Psychiatry dept. (CURE), Lille, France
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27
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Knöchel C, Schmied C, Linden DEJ, Stäblein M, Prvulovic D, de A de Carvalho L, Harrison O, Barros PO, Carvalho AF, Reif A, Alves GS, Oertel-Knöchel V. White matter abnormalities in the fornix are linked to cognitive performance in SZ but not in BD disorder: An exploratory analysis with DTI deterministic tractography. J Affect Disord 2016; 201:64-78. [PMID: 27177298 DOI: 10.1016/j.jad.2016.03.015] [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: 08/20/2015] [Revised: 02/19/2016] [Accepted: 03/07/2016] [Indexed: 11/28/2022]
Abstract
BACKGROUND In psychosis, white matter (WM) microstructural changes have been detected previously; however, direct comparisons of findings between bipolar (BD) and schizophrenia (SZ) patients are scarce. In this study, we employed deterministic tractography to reconstruct WM tracts in BD and SZ patients. METHODS Diffusion tensor imaging (DTI) data was carried out with n=32 euthymic BD type I patients, n=26 SZ patients and 30 matched healthy controls. Deterministic tractography using multiple indices of diffusion (fractional anisotropy (FA), tract volume (Vol), tract length (Le) and number of tracts (NofT)) were obtained from the fornix, the cingulum, the anterior thalamic radiation, and the corpus callosum bilaterally. RESULTS We showed widespread WM microstructural changes in SZ, and changes in the corpus callosum, the left cingulum and the fornix in BD. Fornix fiber tracking scores were associated with cognitive performance in SZ, and with age and age at disease onset in the BD patient group. LIMITATIONS Although the influence of psychopharmacological drugs as biasing variables on morphological alterations has been discussed for SZ and BD, we did not observe a clear influence of drug exposure on our findings. CONCLUSIONS These results confirm the assumption that SZ patients have more severe WM changes than BD patients. The findings also suggest a major role of WM changes in the fornix as important fronto-limbic connections in the etiology of cognitive symptoms in SZ, but not in BD.
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Affiliation(s)
- Christian Knöchel
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany.
| | - Claudia Schmied
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany
| | - David E J Linden
- MRC Centre for Neuropsychiatric Genetics & Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, United Kingdom
| | - Michael Stäblein
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany
| | - David Prvulovic
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany
| | - Luiza de A de Carvalho
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Octavia Harrison
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany; Brain Imaging Center, Goethe Univ., Frankfurt/Main, Germany
| | - Paulo O Barros
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - André F Carvalho
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Andreas Reif
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany
| | - Gilberto S Alves
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Viola Oertel-Knöchel
- Laboratory for Neuroimaging, Dept. of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe Univ., Frankfurt/Main, Germany
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Green AE, Croft RJ, Maller JJ, Fitzgerald PB. White matter correlates of episodic memory encoding and retrieval in schizophrenia. Psychiatry Res Neuroimaging 2016; 254:188-198. [PMID: 27479923 DOI: 10.1016/j.pscychresns.2016.07.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2015] [Accepted: 07/05/2016] [Indexed: 01/14/2023]
Abstract
Episodic memory (EM) impairments in schizophrenia (SZ) are predictive of functional outcome and are a potential endophenotype of the disorder. The current study investigated the neuroanatomical correlates of EM encoding and retrieval in SZ with structural magnetic resonance and diffusion tensor imaging (DTI) measures in 22 patients with SZ and 22 age- and gender-matched healthy controls. Tract-based Spatial Statistics (TBSS) was used to investigate microstructural alterations in white matter (WM), while FreeSurfer surface-based analysis was used to determine abnormalities in grey matter (GM) and WM volumetrics and cortical thickness. Compared to controls, patients demonstrated GM deficits in temporal and parietal regions and lower fractional anisotropy (FA) of WM in diffuse brain regions. Patients also demonstrated reduced functioning in both encoding and retention of auditory-verbal EM. Among patients but not controls, EM encoding correlated with WM volume in the orbitofrontal cortex and increased radial diffusivity in the fornix, whereas EM retrieval correlated with WM volume in posterior parietal cortex. These findings suggest a differential role for frontal and parietal WM in EM encoding and retrieval processes, while myelin integrity of the fornix may play a specific role in mediating EM encoding processes in SZ.
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Affiliation(s)
- Amity E Green
- Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and the Alfred Hospital, Australia.
| | - Rodney J Croft
- Illawarra Health & Medical Research Institute, University of Wollongong, Australia; School of Psychology, University of Wollongong, Australia
| | - Jerome J Maller
- Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and the Alfred Hospital, Australia
| | - Paul B Fitzgerald
- Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and the Alfred Hospital, Australia
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Psomiades M, Fonteneau C, Mondino M, Luck D, Haesebaert F, Suaud-Chagny MF, Brunelin J. Integrity of the arcuate fasciculus in patients with schizophrenia with auditory verbal hallucinations: A DTI-tractography study. NEUROIMAGE-CLINICAL 2016; 12:970-975. [PMID: 27995063 PMCID: PMC5153606 DOI: 10.1016/j.nicl.2016.04.013] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Revised: 04/25/2016] [Accepted: 04/27/2016] [Indexed: 12/15/2022]
Abstract
Auditory verbal hallucinations (AVH) of schizophrenia are associated with a disrupted connectivity between frontal and temporoparietal language areas. We hypothesized that this dysconnectivity is underpinned by white matter abnormalities in the left arcuate fasciculus, the main fiber bundle connecting speech production and perception areas. We therefore investigated the relationship between AVH severity and the integrity of the arcuate fasciculus measured by diffusion tensor imaging (DTI) tractography in patients with schizophrenia. Thirty-eight patients with treatment-resistant schizophrenia were included: 26 presented with daily severe treatment-resistant AVH, 12 reported prominent negative symptoms and no AVH. Fractional anisotropy (FA) was measured along the length of the left and right anterior arcuate fasciculi and severity of AVH was assessed using P3 PANSS item. FA values were significantly higher in the left arcuate fasciculus in patients with AVH than in no AVH patients (F(1,35) = 3.86; p = 0.05). No difference was observed in the right arcuate fasciculus. There was a significant positive correlation between FA value in the left arcuate fasciculus and the severity of AVH (r = 0.36; p = 0.02). No correlation was observed between FA values and PANSS total score suggesting a specific relationship between AVH severity and the left arcuate fasciculus integrity. These results support the hypothesis of a relationship between left frontotemporal connectivity and AVH in patients with schizophrenia and suggest that whilst a disruption of frontotemporal connectivity might be present to ensure the emergence of AVH, more severe anatomical alterations may prevent the occurrence of AVH in patients with schizophrenia. Fractional anisotropy (FA) in the left arcuate fasciculus (AF) correlated with severity of hallucinations. Hallucinating patients had greater FA in the left AF than non-hallucinating patients. We did not find any association between hallucinations and FA in the right AF.
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Affiliation(s)
- Marion Psomiades
- INSERM U1028, CNRS UMR5292, PSYR2 Team, Lyon Neuroscience Research Center, Centre Hospitalier Le Vinatier, Université Claude Bernard Lyon 1, Bron, France
| | - Clara Fonteneau
- INSERM U1028, CNRS UMR5292, PSYR2 Team, Lyon Neuroscience Research Center, Centre Hospitalier Le Vinatier, Université Claude Bernard Lyon 1, Bron, France
| | - Marine Mondino
- Centre Interdisciplinaire de Recherche en Réadaptation et en Intégration Sociale (CIRRIS), Centre de Recherche de l'Institut Universitaire en Santé Mentale (CRIUSM), Université Laval, Québec, QC, Canada
| | - David Luck
- Institut Universitaire en Santé Mentale de Montréal Research Center, Québec, QC, Canada; Department of Psychiatry, University of Montreal, QC, Canada
| | - Frederic Haesebaert
- INSERM U1028, CNRS UMR5292, PSYR2 Team, Lyon Neuroscience Research Center, Centre Hospitalier Le Vinatier, Université Claude Bernard Lyon 1, Bron, France
| | - Marie-Françoise Suaud-Chagny
- INSERM U1028, CNRS UMR5292, PSYR2 Team, Lyon Neuroscience Research Center, Centre Hospitalier Le Vinatier, Université Claude Bernard Lyon 1, Bron, France
| | - Jerome Brunelin
- INSERM U1028, CNRS UMR5292, PSYR2 Team, Lyon Neuroscience Research Center, Centre Hospitalier Le Vinatier, Université Claude Bernard Lyon 1, Bron, France; Centre Interdisciplinaire de Recherche en Réadaptation et en Intégration Sociale (CIRRIS), Centre de Recherche de l'Institut Universitaire en Santé Mentale (CRIUSM), Université Laval, Québec, QC, Canada
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Iwatani J, Ishida T, Donishi T, Ukai S, Shinosaki K, Terada M, Kaneoke Y. Use of T1-weighted/T2-weighted magnetic resonance ratio images to elucidate changes in the schizophrenic brain. Brain Behav 2015; 5:e00399. [PMID: 26516617 PMCID: PMC4614056 DOI: 10.1002/brb3.399] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Revised: 07/27/2015] [Accepted: 08/23/2015] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION One leading hypothesis suggests that schizophrenia (SZ) is a neurodevelopmental disorder caused by genetic defects in association with environmental risk factors that affect synapse and myelin formation. Recent magnetic resonance imaging (MRI) studies of SZ brain showed both gray matter (GM) reduction and white matter (WM) fractional anisotropy reduction. In this study, we used T1-weighted (T1w)/T2-weighted (T2w) MRI ratio images, which increase myelin-related signal contrast and reduce receiver-coil bias. METHODS We measured T1w/T2w ratio image signal intensity in 29 patients with SZ and 33 healthy controls (HCs), and then compared them against bias-corrected T1w images. RESULTS Mean T1w/T2w ratio signal intensity values across all SZ GM and WM voxels were significantly lower than those for the HC values (analysis of covariance with age, gender, handedness, and premorbid intelligence quotient as nuisance covariates). SZ mean WM T1w/T2w ratio values were related to Global Assessment of Functioning (GAF) scores and were inversely related to the positive psychotic symptoms of the Positive and Negative Syndrome Scale. Voxel-based analysis revealed significantly lower T1w/T2w ratio image signal intensity values in the right ventral putamen in SZ GM. T1w image intensities did not differ between the SZ and HC groups. CONCLUSIONS T1-weighted/T2-weighted ratio imaging increased the detectability of SZ pathological changes. Reduced SZ brain signal intensity is likely due to diminished myelin content; therefore, mapping myelin-related SZ brain changes using T1w/T2w ratio images may be useful for studies of SZ brain abnormalities.
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Affiliation(s)
- Jun Iwatani
- Department of Neuropsychiatry Graduate School of Wakayama Medical University 811-1 Kimiidera Wakayama 641-8509 Japan
| | - Takuya Ishida
- Department of Neuropsychiatry Graduate School of Wakayama Medical University 811-1 Kimiidera Wakayama 641-8509 Japan ; Department of System Neurophysiology Graduate School of Wakayama Medical University 811-1 Kimiidera Wakayama 641-8509 Japan
| | - Tomohiro Donishi
- Department of System Neurophysiology Graduate School of Wakayama Medical University 811-1 Kimiidera Wakayama 641-8509 Japan
| | - Satoshi Ukai
- Department of Neuropsychiatry Graduate School of Wakayama Medical University 811-1 Kimiidera Wakayama 641-8509 Japan
| | - Kazuhiro Shinosaki
- Department of Neuropsychiatry Graduate School of Wakayama Medical University 811-1 Kimiidera Wakayama 641-8509 Japan
| | - Masaki Terada
- Wakayama-Minami Radiology Clinic 870-2 Kimiidera Wakayama 641-0012 Japan
| | - Yoshiki Kaneoke
- Department of System Neurophysiology Graduate School of Wakayama Medical University 811-1 Kimiidera Wakayama 641-8509 Japan
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31
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Schizophrenia and bipolar disorder: The road from similarities and clinical heterogeneity to neurobiological types. Clin Chim Acta 2015; 449:49-59. [DOI: 10.1016/j.cca.2015.02.029] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2015] [Accepted: 02/13/2015] [Indexed: 01/06/2023]
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Galinowski A, Miranda R, Lemaitre H, Paillère Martinot ML, Artiges E, Vulser H, Goodman R, Penttilä J, Struve M, Barbot A, Fadai T, Poustka L, Conrod P, Banaschewski T, Barker GJ, Bokde A, Bromberg U, Büchel C, Flor H, Gallinat J, Garavan H, Heinz A, Ittermann B, Kappel V, Lawrence C, Loth E, Mann K, Nees F, Paus T, Pausova Z, Poline JB, Rietschel M, Robbins TW, Smolka M, Schumann G, Martinot JL. Resilience and corpus callosum microstructure in adolescence. Psychol Med 2015; 45:2285-2294. [PMID: 25817177 DOI: 10.1017/s0033291715000239] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
BACKGROUND Resilience is the capacity of individuals to resist mental disorders despite exposure to stress. Little is known about its neural underpinnings. The putative variation of white-matter microstructure with resilience in adolescence, a critical period for brain maturation and onset of high-prevalence mental disorders, has not been assessed by diffusion tensor imaging (DTI). Lower fractional anisotropy (FA) though, has been reported in the corpus callosum (CC), the brain's largest white-matter structure, in psychiatric and stress-related conditions. We hypothesized that higher FA in the CC would characterize stress-resilient adolescents. METHOD Three groups of adolescents recruited from the community were compared: resilient with low risk of mental disorder despite high exposure to lifetime stress (n = 55), at-risk of mental disorder exposed to the same level of stress (n = 68), and controls (n = 123). Personality was assessed by the NEO-Five Factor Inventory (NEO-FFI). Voxelwise statistics of DTI values in CC were obtained using tract-based spatial statistics. Regional projections were identified by probabilistic tractography. RESULTS Higher FA values were detected in the anterior CC of resilient compared to both non-resilient and control adolescents. FA values varied according to resilience capacity. Seed regional changes in anterior CC projected onto anterior cingulate and frontal cortex. Neuroticism and three other NEO-FFI factor scores differentiated non-resilient participants from the other two groups. CONCLUSION High FA was detected in resilient adolescents in an anterior CC region projecting to frontal areas subserving cognitive resources. Psychiatric risk was associated with personality characteristics. Resilience in adolescence may be related to white-matter microstructure.
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Affiliation(s)
- A Galinowski
- INSERM,UMR 1000,Research unit Imaging and Psychiatry,Service Hospitalier Frédéric Joliot,Orsay,France
| | - R Miranda
- INSERM,UMR 1000,Research unit Imaging and Psychiatry,Service Hospitalier Frédéric Joliot,Orsay,France
| | - H Lemaitre
- INSERM,UMR 1000,Research unit Imaging and Psychiatry,Service Hospitalier Frédéric Joliot,Orsay,France
| | - M-L Paillère Martinot
- INSERM,UMR 1000,Research unit Imaging and Psychiatry,Service Hospitalier Frédéric Joliot,Orsay,France
| | - E Artiges
- INSERM,UMR 1000,Research unit Imaging and Psychiatry,Service Hospitalier Frédéric Joliot,Orsay,France
| | - H Vulser
- INSERM,UMR 1000,Research unit Imaging and Psychiatry,Service Hospitalier Frédéric Joliot,Orsay,France
| | - R Goodman
- King's College, London Institute of Psychiatry,London,UK
| | - J Penttilä
- Psychiatry Department,University of Tampere,School of Medicine, Tampere,Finland
| | - M Struve
- Department of Cognitive and Clinical Neuroscience,Central Institute of Mental Health,Medical Faculty Mannheim/Heidelberg University,Germany
| | | | - T Fadai
- Universitaetsklinikum Hamburg Eppendorf,Hamburg,Germany
| | - L Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy,Central Institute of Mental Health,Medical Faculty Mannheim/Heidelberg University,Germany
| | - P Conrod
- King's College, London Institute of Psychiatry,London,UK
| | - T Banaschewski
- Department of Cognitive and Clinical Neuroscience,Central Institute of Mental Health,Medical Faculty Mannheim/Heidelberg University,Germany
| | - G J Barker
- King's College, London Institute of Psychiatry,London,UK
| | - A Bokde
- Institute of Neuroscience and Department of Psychiatry,School of Medicine,Trinity College Dublin,Dublin,Ireland
| | - U Bromberg
- Universitaetsklinikum Hamburg Eppendorf,Hamburg,Germany
| | - C Büchel
- Universitaetsklinikum Hamburg Eppendorf,Hamburg,Germany
| | - H Flor
- Department of Cognitive and Clinical Neuroscience,Central Institute of Mental Health,Medical Faculty Mannheim/Heidelberg University,Germany
| | - J Gallinat
- Department of Psychiatry and Psychotherapy,Campus Charité Mitte,Charité-Universitätsmedizin,Berlin,Germany
| | - H Garavan
- Institute of Neuroscience,Trinity College Dublin,Dublin,Ireland
| | - A Heinz
- Department of Psychiatry and Psychotherapy,Campus Charité Mitte,Charité-Universitätsmedizin,Berlin,Germany
| | - B Ittermann
- Physikalisch-Technische Bundesanstalt (PTB),Braunschweig und Berlin,Germany
| | - V Kappel
- Department of Child and Adolescent Psychiatry,Psychosomatics and Psychotherapy,Charité-Universitätsmedizin,Berlin,Germany
| | - C Lawrence
- School of Psychology,University of Nottingham,UK
| | - E Loth
- King's College, London Institute of Psychiatry,London,UK
| | - K Mann
- Department of Cognitive and Clinical Neuroscience,Central Institute of Mental Health,Medical Faculty Mannheim/Heidelberg University,Germany
| | - F Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy,Central Institute of Mental Health,Medical Faculty Mannheim/Heidelberg University,Germany
| | - T Paus
- School of Psychology,University of Nottingham,UK
| | - Z Pausova
- Department of Physiology and Nutritional Sciences,The Hospital for Sick Children,University of Toronto,Toronto, ONT,Canada
| | | | - M Rietschel
- Department of Cognitive and Clinical Neuroscience,Central Institute of Mental Health,Medical Faculty Mannheim/Heidelberg University,Germany
| | - T W Robbins
- Department of Experimental Psychology,Behavioural and Clinical Neurosciences Institute,University of Cambridge,UK
| | - M Smolka
- Department of Psychiatry and Psychotherapy,Technische Universität Dresden,Germany
| | - G Schumann
- King's College, London Institute of Psychiatry,London,UK
| | - J-L Martinot
- INSERM,UMR 1000,Research unit Imaging and Psychiatry,Service Hospitalier Frédéric Joliot,Orsay,France
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Abstract
The notion that psychosis may exist on a continuum with normal experience has been proposed in multiple forms throughout the history of psychiatry. However, in recent years there has been an exponential increase in efforts aimed at elucidating what has been termed the 'psychosis continuum'. The present review seeks to summarize some of the more basic characteristics of this continuum and to present some of the recent findings that provide support for its validity. While there is still considerable work to be done, the emerging data holds considerable promise for advancing our understanding of both risk and resilience to psychiatric disorders characterized by psychosis.
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Affiliation(s)
- Pamela DeRosse
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, The Zucker Hillside Hospital, Division of the North Shore–Long Island Jewish Health System, Glen Oaks, NY, USA
| | - Katherine H. Karlsgodt
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, The Zucker Hillside Hospital, Division of the North Shore–Long Island Jewish Health System, Glen Oaks, NY, USA
- Department of Psychiatry, Hofstra NorthShore LIJ School of Medicine, Hempstead NY
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34
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Compromised small-world efficiency of structural brain networks in schizophrenic patients and their unaffected parents. Neurosci Bull 2015; 31:275-87. [PMID: 25813916 DOI: 10.1007/s12264-014-1518-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2014] [Accepted: 01/14/2015] [Indexed: 10/23/2022] Open
Abstract
Several lines of evidence suggest that efficient information integration between brain regions is disrupted in schizophrenia. Abnormalities in white matter tracts that interconnect brain regions may be directly relevant to this pathophysiological process. As a complex mental disorder with high heritability, mapping abnormalities in patients and their first-degree relatives may help to disentangle the risk factors for schizophrenia. We established a weighted network model of white matter connections using diffusion tensor imaging in 25 nuclear families with schizophrenic probands (19 patients and 41 unaffected parents) and two unrelated groups of normal controls (24 controls matched with patients and 26 controls matched with relatives). The patient group showed lower global efficiency and local efficiency. The decreased regional efficiency was localized in hubs such as the bilateral frontal cortices, bilateral anterior cingulate cortices, and left precuneus. The global efficiency was negatively correlated with cognition scores derived from a 5-factor model of schizophrenic psychopathology. We also found that unaffected parents displayed decreased regional efficiency in the right temporal cortices, left supplementary motor area, left superior temporal pole, and left thalamus. The global efficiency tended to be lower in unaffected parents. Our data suggest that (1) the global efficiency loss in neuroanatomical networks may be associated with the cognitive disturbances in schizophrenia; and (2) genetic vulnerability to schizophrenia may influence the anatomical organization of an individual's brain networks.
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35
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Arat HE, Chouinard VA, Cohen BM, Lewandowski KE, Öngür D. Diffusion tensor imaging in first degree relatives of schizophrenia and bipolar disorder patients. Schizophr Res 2015; 161:329-39. [PMID: 25542860 PMCID: PMC4308443 DOI: 10.1016/j.schres.2014.12.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Revised: 12/03/2014] [Accepted: 12/05/2014] [Indexed: 11/29/2022]
Abstract
OBJECTIVES White matter (WM) abnormalities are one of the most widely and consistently reported findings in schizophrenia (SZ) and bipolar disorder (BD). If these abnormalities are inherited determinants of illness, suitable to be classified as an endophenotype, relatives of patients must also have them at higher rate compared to the general population. In this review, we evaluate published diffusion tensor imaging (DTI) studies comparing first degree relatives of SZ and BD patients and healthy control subjects. METHODS We searched PubMed, Embase and PsychInfo for DTI studies which included an unaffected relative and a healthy comparison group. RESULTS 22 studies fulfilled the inclusion criteria. WM abnormalities were found in many diverse regions in relatives of SZ patients. Although the findings were not completely consistent across studies, the most implicated areas were the frontal and temporal WM regions and the corpus callosum. Studies in relatives of BD patients were fewer in number with less consistent findings reported across studies. CONCLUSIONS Our review supports the concept of WM abnormalities as an endophenotype in SZ, with somewhat weaker evidence in BD, but larger and higher quality studies are needed to make a definitive comment.
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Affiliation(s)
- Hidayet E. Arat
- Dokuz Eylul University, Faculty of Medicine Department of Psychiatry, Izmir, Turkey,McLean Hospital, 115 Mill St., Belmont, MA, 02478 USA
| | - Virginie-Anne Chouinard
- McLean Hospital, 115 Mill St., Belmont, MA, 02478 USA,Harvard Medical School, Department of Psychiatry, Boston, MA, 02114 USA
| | - Bruce M. Cohen
- McLean Hospital, 115 Mill St., Belmont, MA, 02478 USA,Harvard Medical School, Department of Psychiatry, Boston, MA, 02114 USA
| | - Kathryn E. Lewandowski
- McLean Hospital, 115 Mill St., Belmont, MA, 02478 USA,Harvard Medical School, Department of Psychiatry, Boston, MA, 02114 USA
| | - Dost Öngür
- McLean Hospital, 115 Mill St., Belmont, MA 02478, USA; Harvard Medical School, Department of Psychiatry, Boston, MA 02114, USA.
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Harms MP, Akhter KD, Csernansky JG, Mori S, Barch DM. Fractional anisotropy in individuals with schizophrenia and their nonpsychotic siblings. Psychiatry Res 2015; 231:87-91. [PMID: 25453989 PMCID: PMC4272646 DOI: 10.1016/j.pscychresns.2014.10.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2014] [Revised: 08/18/2014] [Accepted: 10/09/2014] [Indexed: 01/03/2023]
Abstract
Fractional anisotropy (FA) was examined in a priori selected fiber tracts in individuals with schizophrenia (n=25) and their non-psychotic siblings (n=29) versus controls (n=35). FA was reduced in a portion of the fornix in individuals with schizophrenia (although this did not survive correction for the number of tracts investigated). FA in the siblings did not differ from that in controls in any of the investigated tracts.
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Affiliation(s)
- Michael P. Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA,Corresponding author: Department of Psychiatry (Box 8134), Washington University School of Medicine, 660 S. Euclid Avenue, St. Louis, MO 63110, USA. Tel.: +1 (314) 747-6173; Fax: +1 (314) 747-2182;
| | - Kazi D. Akhter
- Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John G. Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Susumu Mori
- Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Deanna M. Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA,Department of Psychology, Washington University, St. Louis, MO, USA
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Schmidt A, Diwadkar VA, Smieskova R, Harrisberger F, Lang UE, McGuire P, Fusar-Poli P, Borgwardt S. Approaching a network connectivity-driven classification of the psychosis continuum: a selective review and suggestions for future research. Front Hum Neurosci 2015; 8:1047. [PMID: 25628553 PMCID: PMC4292722 DOI: 10.3389/fnhum.2014.01047] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Accepted: 12/15/2014] [Indexed: 01/07/2023] Open
Abstract
Brain changes in schizophrenia evolve along a dynamic trajectory, emerging before disease onset and proceeding with ongoing illness. Recent investigations have focused attention on functional brain interactions, with experimental imaging studies supporting the disconnection hypothesis of schizophrenia. These studies have revealed a broad spectrum of abnormalities in brain connectivity in patients, particularly for connections integrating the frontal cortex. A critical point is that brain connectivity abnormalities, including altered resting state connectivity within the fronto-parietal (FP) network, are already observed in non-help-seeking individuals with psychotic-like experiences. If we consider psychosis as a continuum, with individuals with psychotic-like experiences at the lower and psychotic patients at the upper ends, individuals with psychotic-like experiences represent a key population for investigating the validity of putative biomarkers underlying the onset of psychosis. This paper selectively addresses the role played by FP connectivity in the psychosis continuum, which includes patients with chronic psychosis, early psychosis, clinical high risk, genetic high risk, as well as the general population with psychotic experiences. We first discuss structural connectivity changes among the FP pathway in each domain in the psychosis continuum. This may provide a basis for us to gain an understanding of the subsequent changes in functional FP connectivity. We further indicate that abnormal FP connectivity may arise from glutamatergic disturbances of this pathway, in particular from abnormal NMDA receptor-mediated plasticity. In the second part of this paper we propose some concepts for further research on the use of network connectivity in the classification of the psychosis continuum. These concepts are consistent with recent efforts to enhance the role of data in driving the diagnosis of psychiatric spectrum diseases.
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Affiliation(s)
- André Schmidt
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland
| | - Vaibhav A Diwadkar
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University Detroit, Michigan, USA
| | - Renata Smieskova
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland
| | | | - Undine E Lang
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, King's College London London, UK
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London London, UK
| | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland ; Department of Psychosis Studies, Institute of Psychiatry, King's College London London, UK
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Benetti S, Pettersson-Yeo W, Allen P, Catani M, Williams S, Barsaglini A, Kambeitz-Ilankovic LM, McGuire P, Mechelli A. Auditory verbal hallucinations and brain dysconnectivity in the perisylvian language network: a multimodal investigation. Schizophr Bull 2015; 41:192-200. [PMID: 24361862 PMCID: PMC4266279 DOI: 10.1093/schbul/sbt172] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Neuroimaging studies of schizophrenia have indicated that the development of auditory verbal hallucinations (AVHs) is associated with altered structural and functional connectivity within the perisylvian language network. However, these studies focussed mainly on either structural or functional alterations in patients with chronic schizophrenia. Therefore, they were unable to examine the relationship between the 2 types of measures and could not establish whether the observed alterations would be expressed in the early stage of the illness. We used diffusion tensor imaging and functional magnetic resonance imaging to examine white matter integrity and functional connectivity within the left perisylvian language network of 46 individuals with an at risk mental state for psychosis or a first episode of the illness, including 28 who had developed AVH group and 18 who had not (nonauditory verbal hallucination [nAVH] group), and 22 healthy controls. Inferences were made at P < .05 (corrected). The nAVH group relative to healthy controls showed a reduction of both white matter integrity and functional connectivity as well as a disruption of the normal structure-function relationship along the fronto-temporal pathway. For all measures, the AVH group showed intermediate values between healthy controls and the nAVH group. These findings seem to suggest that, in the early stage of the disorder, a significant impairment of fronto-temporal connectivity is evident in patients who do not experience AVHs. This is consistent with the hypothesis that, whilst mild disruption of connectivity might still enable the emergence of AVHs, more severe alterations may prevent the occurrence of the hallucinatory experience.
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Affiliation(s)
- Stefania Benetti
- Department of Psychosis Studies, King's College Health Partners, King's College London, London, UK; Centre for Mind/Brain Sciences, University of Trento, Trento, Italy;
| | - William Pettersson-Yeo
- Department of Psychosis Studies, King’s College Health Partners, King’s College London, London, UK
| | - Paul Allen
- Department of Psychosis Studies, King’s College Health Partners, King’s College London, London, UK
| | - Marco Catani
- Department of Forensic and Neurodevelopmental Science, King’s College Health Partners, King’s College London, London, UK
| | - Steven Williams
- Department of Neuroimaging, King’s College Health Partners, King’s College London, London, UK
| | - Alessio Barsaglini
- Department of General Psychology, Università degli Studi di Padova, Padova, Italy
| | - Lana M. Kambeitz-Ilankovic
- Department of Psychosis Studies, King’s College Health Partners, King’s College London, London, UK;,Department of Psychiatry, Ludwig-Maximilians University, Munich, Germany
| | - Philip McGuire
- Department of Psychosis Studies, King’s College Health Partners, King’s College London, London, UK
| | - Andrea Mechelli
- Department of Psychosis Studies, King's College Health Partners, King's College London, London, UK;
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39
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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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40
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Canu E, Agosta F, Filippi M. A selective review of structural connectivity abnormalities of schizophrenic patients at different stages of the disease. Schizophr Res 2015; 161:19-28. [PMID: 24893909 DOI: 10.1016/j.schres.2014.05.020] [Citation(s) in RCA: 138] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Revised: 05/02/2014] [Accepted: 05/09/2014] [Indexed: 12/22/2022]
Abstract
Schizophrenia has long been hypothesized to result from a disconnection syndrome due to a disruption of the association fibers of the brain. However, only with the advent of in vivo neuroimaging, a formal disconnectivity hypothesis for schizophrenia has been developed. Diffusion tensor MRI, a non-invasive technique which is sensitive to features of tissue microstructure and to the anatomy of the white matter fibers, has gained a crucial role in the field. Here, we provide a state-of-the-art review of structural connectivity abnormalities detected in schizophrenia and discuss the most relevant findings at preclinical, first episode drug-naïve, and chronic stages. Imaging studies showed white matter alterations from the preclinical to the chronic stage of the disease, which involve the corticospinal tracts, interhemispheric connections, long association white matter tracts, cerebello-thalamo-cortical circuit, and limbic system. Such abnormalities were found to be associated with the psychiatric and cognitive manifestations of the disease and to predict, at least partially, the patient clinical evolution and response to treatment.
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Affiliation(s)
- Elisa Canu
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
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41
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Lener MS, Wong E, Tang CY, Byne W, Goldstein KE, Blair NJ, Haznedar MM, New AS, Chemerinski E, Chu KW, Rimsky LS, Siever LJ, Koenigsberg HW, Hazlett EA. White matter abnormalities in schizophrenia and schizotypal personality disorder. Schizophr Bull 2015; 41:300-10. [PMID: 24962608 PMCID: PMC4266294 DOI: 10.1093/schbul/sbu093] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Prior diffusion tensor imaging (DTI) studies examining schizotypal personality disorder (SPD) and schizophrenia, separately have shown that compared with healthy controls (HCs), patients show frontotemporal white matter (WM) abnormalities. This is the first DTI study to directly compare WM tract coherence with tractography and fractional anisotropy (FA) across the schizophrenia spectrum in a large sample of demographically matched HCs (n = 55), medication-naive SPD patients (n = 49), and unmedicated/never-medicated schizophrenia patients (n = 22) to determine whether (a) frontal-striatal-temporal WM tract abnormalities in schizophrenia are similar to, or distinct from those observed in SPD; and (b) WM tract abnormalities are associated with clinical symptom severity indicating a common underlying pathology across the spectrum. Compared with both the HC and SPD groups, schizophrenia patients showed WM abnormalities, as indexed by lower FA in the temporal lobe (inferior longitudinal fasciculus) and cingulum regions. SPD patients showed lower FA in the corpus callosum genu compared with the HC group, but this regional abnormality was more widespread in schizophrenia patients. Across the schizophrenia spectrum, greater WM disruptions were associated with greater symptom severity. Overall, frontal-striatal-temporal WM dysconnectivity is attenuated in SPD compared with schizophrenia patients and may mitigate the emergence of psychosis.
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Affiliation(s)
- Marc S. Lener
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Edmund Wong
- Translational and Molecular Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Cheuk Y. Tang
- Translational and Molecular Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - William Byne
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY;,Mental Illness Research, Education, and Clinical Center (MIRECC VISN 3), James J. Peters Veterans Affairs Medical Center, Bronx, NY;,Department of Outpatient Psychiatry, James J. Peters Veterans Affairs Medical Center, Bronx, NY
| | - Kim E. Goldstein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Nicholas J. Blair
- Mental Illness Research, Education, and Clinical Center (MIRECC VISN 3), James J. Peters Veterans Affairs Medical Center, Bronx, NY;,Research and Development, James J. Peters Veterans Affairs Medical Center, Bronx, NY
| | - M. Mehmet Haznedar
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY;,Department of Outpatient Psychiatry, James J. Peters Veterans Affairs Medical Center, Bronx, NY
| | - Antonia S. New
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY;,Mental Illness Research, Education, and Clinical Center (MIRECC VISN 3), James J. Peters Veterans Affairs Medical Center, Bronx, NY
| | - Eran Chemerinski
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY;,Department of Outpatient Psychiatry, James J. Peters Veterans Affairs Medical Center, Bronx, NY
| | - King-Wai Chu
- Mental Illness Research, Education, and Clinical Center (MIRECC VISN 3), James J. Peters Veterans Affairs Medical Center, Bronx, NY;,Research and Development, James J. Peters Veterans Affairs Medical Center, Bronx, NY
| | - Liza S. Rimsky
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Larry J. Siever
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY;,Mental Illness Research, Education, and Clinical Center (MIRECC VISN 3), James J. Peters Veterans Affairs Medical Center, Bronx, NY;,Department of Outpatient Psychiatry, James J. Peters Veterans Affairs Medical Center, Bronx, NY
| | - Harold W. Koenigsberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY;,Department of Outpatient Psychiatry, James J. Peters Veterans Affairs Medical Center, Bronx, NY
| | - Erin A. Hazlett
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY;,Mental Illness Research, Education, and Clinical Center (MIRECC VISN 3), James J. Peters Veterans Affairs Medical Center, Bronx, NY;,Research and Development, James J. Peters Veterans Affairs Medical Center, Bronx, NY,*To whom correspondence should be addressed; Mental Illness Research, Education, and Clinical Center, James J. Peters VA Medical Center, 130 West Kingsbridge Road, Room 6A-44, Bronx, NY, US; tel: 718-584-9000 x3701, fax: 718-364-3576, e-mail:
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42
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Wu CH, Hwang TJ, Chen YJ, Hsu YC, Lo YC, Liu CM, Hwu HG, Liu CC, Hsieh MH, Chien YL, Chen CM, Tseng WYI. Altered integrity of the right arcuate fasciculus as a trait marker of schizophrenia: a sibling study using tractography-based analysis of the whole brain. Hum Brain Mapp 2014; 36:1065-76. [PMID: 25366810 DOI: 10.1002/hbm.22686] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2014] [Revised: 10/08/2014] [Accepted: 10/27/2014] [Indexed: 11/08/2022] Open
Abstract
Trait markers of schizophrenia aid the dissection of the heterogeneous phenotypes into distinct subtypes and facilitate the genetic underpinning of the disease. The microstructural integrity of the white matter tracts could serve as a trait marker of schizophrenia, and tractography-based analysis (TBA) is the current method of choice. Manual tractography is time-consuming and limits the analysis to preselected fiber tracts. Here, we sought to identify a trait marker of schizophrenia from among 74 fiber tracts across the whole brain using a novel automatic TBA method. Thirty-one patients with schizophrenia, 31 unaffected siblings and 31 healthy controls were recruited to undergo diffusion spectrum magnetic resonance imaging at 3T. Generalized fractional anisotropy (GFA), an index reflecting tract integrity, was computed for each tract and compared among the three groups. Ten tracts were found to exhibit significant differences between the groups with a linear, stepwise order from controls to siblings to patients; they included the right arcuate fasciculus, bilateral fornices, bilateral auditory tracts, left optic radiation, the genu of the corpus callosum, and the corpus callosum to the bilateral dorsolateral prefrontal cortices, bilateral temporal poles, and bilateral hippocampi. Posthoc between-group analyses revealed that the GFA of the right arcuate fasciculus was significantly decreased in both the patients and unaffected siblings compared to the controls. Furthermore, the GFA of the right arcuate fasciculus exhibited a trend toward positive symptom scores. In conclusion, the right arcuate fasciculus may be a candidate trait marker and deserves further study to verify any genetic association.
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Affiliation(s)
- Chen-Hao Wu
- Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan; Center for Optoelectronic Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
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43
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A diffusion tensor imaging family study of the fornix in schizophrenia. Schizophr Res 2014; 159:435-40. [PMID: 25315220 DOI: 10.1016/j.schres.2014.09.037] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2014] [Revised: 09/18/2014] [Accepted: 09/22/2014] [Indexed: 02/03/2023]
Abstract
Diffusion tensor imaging (DTI) studies suggest abnormalities in the white matter microstructure of the fornix in schizophrenia patients. Research evaluating schizophrenia patient and relatives also suggests that the white matter microstructure of the fornix is heritable. However, previous studies have been hindered by limited DTI methodology. Therefore, the goal of this study was to assess whether fornix abnormalities were related to the genetic liability for schizophrenia using the novel methodological approach of assessing multiple metrics of along-tract measurements, in addition to whole-tract means. Twenty-five schizophrenia patients, 24 adult non-psychotic first-degree biological relatives, and 27 community controls underwent neuroimaging. No group differences were found for any of the DTI metrics using the classical whole-tract measures of the fornix. Along-tract analysis detected local increases in fractional anisotropy (FA) in the right fimbria of the fornix for relatives compared to patients and controls corrected for false discovery rate. No significant associations were found between symptoms, global functioning, or IQ and whole-tract FA means in schizophrenia patients or relatives. Increased FA in non-psychotic relatives could represent a compensatory mechanism to guard against psychosis or an abnormality associated with the genetic liability for the disorder. These findings underscore the importance of obtaining along-tract measurements, in addition to whole-tract measurements to fully understand white matter abnormalities in schizophrenia.
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44
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Wheeler AL, Voineskos AN. A review of structural neuroimaging in schizophrenia: from connectivity to connectomics. Front Hum Neurosci 2014; 8:653. [PMID: 25202257 PMCID: PMC4142355 DOI: 10.3389/fnhum.2014.00653] [Citation(s) in RCA: 165] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2014] [Accepted: 08/05/2014] [Indexed: 11/13/2022] Open
Abstract
In patients with schizophrenia neuroimaging studies have revealed global differences with some brain regions showing focal abnormalities. Examining neurocircuitry, diffusion-weighted imaging studies have identified altered structural integrity of white matter in frontal and temporal brain regions and tracts such as the cingulum bundles, uncinate fasciculi, internal capsules and corpus callosum associated with the illness. Furthermore, structural co-variance analyses have revealed altered structural relationships among regional morphology in the thalamus, frontal, temporal and parietal cortices in schizophrenia patients. The distributed nature of these abnormalities in schizophrenia suggests that multiple brain circuits are impaired, a neural feature that may be better addressed with network level analyses. However, even with the advent of these newer analyses, a large amount of variability in findings remains, likely partially due to the considerable heterogeneity present in this disorder.
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Affiliation(s)
- Anne L Wheeler
- Kimel Family Translational Imaging Genetics Laboratory, Centre for Addiction and Mental Health, Research Imaging Centre Toronto, ON, Canada ; Department of Psychiatry, University of Toronto Toronto, ON, Canada
| | - Aristotle N Voineskos
- Kimel Family Translational Imaging Genetics Laboratory, Centre for Addiction and Mental Health, Research Imaging Centre Toronto, ON, Canada ; Department of Psychiatry, University of Toronto Toronto, ON, Canada
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45
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Sohn H, Kim B, Kim KH, Kim MK, Choi TK, Lee SH. Effects of VRK2 (rs2312147) on white matter connectivity in patients with schizophrenia. PLoS One 2014; 9:e103519. [PMID: 25079070 PMCID: PMC4117506 DOI: 10.1371/journal.pone.0103519] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Accepted: 07/02/2014] [Indexed: 12/04/2022] Open
Abstract
Recent genome-wide association studies of schizophrenia reported a novel risk variant, rs2312147 at vaccinia-related kinase 2 gene (VRK2), in multiple Asian and European samples. However, its effect on the brain structure in schizophrenia is little known. We analyzed the brain structure of 36 schizophrenia patients and 18 healthy subjects with regard to rs2312147 genotype groups. Brain magnetic resonance scans for gray matter (GM) and white matter (WM) analysis, and genotype analysis for VRK2 rs2312147, were conducted. The Positive and Negative Syndrome Scale and the Digit Symbol Test were assessed for schizophrenia patients. There was no significant difference in either GM volume or WM connectivity with regard to rs2312147 genotype in healthy subjects. In contrast, we found significant differences in the WM connectivity between rs2312147 CC and CT/TT genotype groups of schizophrenia patients. The related brain areas included the splenium of corpus callosum, the left occipital lobe WM, the internal capsule (left anterior limb and right retrolenticular part), the bilateral temporal lobe WM, the left fornix/stria terminalis, the left cingulate gyrus WM, and the left parietal lobe WM. Voxelwise correlation analysis revealed that the Digit Symbol Test scores (age corrected) correlated with the fractional anisotropy in WM tracts that previously showed significant group differences between the CT/TT and CC genotypes in the rs2312147 CT/TT genotype group, while no significant correlation was found in the CC genotype group. Our data may provide evidence for the effect of VRK2 on WM connectivity in patients with schizophrenia.
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Affiliation(s)
- Hoyoung Sohn
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Borah Kim
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Keun Hyang Kim
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Min-Kyoung Kim
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Tai Kiu Choi
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam-si, Gyeonggi-do, Republic of Korea
- * E-mail:
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46
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Nickl-Jockschat T, Stöcker T, Krug A, Markov V, Huang R, Schneider F, Habel U, Eickhoff SB, Zerres K, Nöthen MM, Treutlein J, Rietschel M, Shah NJ, Kircher T. A Neuregulin-1 schizophrenia susceptibility variant causes perihippocampal fiber tract anomalies in healthy young subjects. Brain Behav 2014; 4:215-26. [PMID: 24683514 PMCID: PMC3967537 DOI: 10.1002/brb3.203] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2013] [Revised: 11/05/2013] [Accepted: 11/24/2013] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Changes in fiber tract architecture have gained attention as a potentially important aspect of schizophrenia neuropathology. Although the exact pathogenesis of these abnormalities yet remains to be elucidated, a genetic component is highly likely. Neuregulin-1 (NRG1) is one of the best-validated schizophrenia susceptibility genes. We here report the impact of the Neuregulin-1 rs35753505 variant on white matter structure in healthy young individuals with no family history of psychosis. METHODS We compared fractional anisotropy in 54 subjects that were either homozygous for the risk C allele carriers (n = 31) for rs35753505 or homozygous for the T allele (n = 23) using diffusion tensor imaging with 3T. Tract-Based Spatial Statistics (TBSS), a method especially developed for diffusion data analysis, was used to improve white matter registration and to focus the statistical analysis to major fiber tracts. RESULTS Statistical analysis showed that homozygous risk C allele carriers featured elevated fractional anisotropy (FA) in the right perihippocampal region and the white matter proximate to the left area 4p as well as the right hemisphere of the cerebellum. We found three clusters of reduced FA values in homozygous C allele carriers: in the left superior parietal region, the right prefrontal white matter and in the deep white matter of the left frontal lobe. CONCLUSION Our results highlight the importance of Neuregulin-1 for structural connectivity of the right medial temporal lobe. This finding is in line with well known neuropathological findings in this region in patients with schizophrenia.
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Affiliation(s)
- Thomas Nickl-Jockschat
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen UniversityAachen, Germany
- Juelich Aachen Research Alliance – Translational Brain MedicineJuelich/Aachen, Germany
- Correspondence Thomas Nickl-Jockschat, Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Pauwelsstrasse-30-, D-52074 Aachen, Germany. Tel: 0049-241/80-36413;, Fax: 0049-241/80-82401;, E-mail:
| | - Tony Stöcker
- Juelich Aachen Research Alliance – Translational Brain MedicineJuelich/Aachen, Germany
- Institute of Neurosciences and Medicine-4, Juelich Research CenterJuelich, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of MarburgMarburg, Germany
| | - Valentin Markov
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen UniversityAachen, Germany
| | - Ruiwang Huang
- Juelich Aachen Research Alliance – Translational Brain MedicineJuelich/Aachen, Germany
- Institute of Neurosciences and Medicine-4, Juelich Research CenterJuelich, Germany
| | - Frank Schneider
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen UniversityAachen, Germany
- Juelich Aachen Research Alliance – Translational Brain MedicineJuelich/Aachen, Germany
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen UniversityAachen, Germany
- Juelich Aachen Research Alliance – Translational Brain MedicineJuelich/Aachen, Germany
| | - Simon B Eickhoff
- Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine UniversityDüsseldorf, Germany
- Department of Neuroscience und Medicine, INM-1, Research Center JülichJülich, Germany
| | - Klaus Zerres
- Institute of Human Genetics, RWTH Aachen UniversityAachen, Germany
| | - Markus M Nöthen
- Department of Genomics, Life and Brain Center, University of BonnBonn, Germany
| | - Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental HealthMannheim, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental HealthMannheim, Germany
| | - Nadim Jon Shah
- Juelich Aachen Research Alliance – Translational Brain MedicineJuelich/Aachen, Germany
- Institute of Neurosciences and Medicine-4, Juelich Research CenterJuelich, Germany
- Department of Neurology, RWTH Aachen UniversityAachen, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of MarburgMarburg, Germany
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Giezendanner S, Walther S, Razavi N, Van Swam C, Fisler MS, Soravia LM, Andreotti J, Schwab S, Jann K, Wiest R, Horn H, Müller TJ, Dierks T, Federspiel A. Alterations of white matter integrity related to the season of birth in schizophrenia: a DTI study. PLoS One 2013; 8:e75508. [PMID: 24086548 PMCID: PMC3785501 DOI: 10.1371/journal.pone.0075508] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2013] [Accepted: 08/12/2013] [Indexed: 01/19/2023] Open
Abstract
In schizophrenia there is a consistent epidemiological finding of a birth excess in winter and spring. Season of birth is thought to act as a proxy indicator for harmful environmental factors during foetal maturation. There is evidence that prenatal exposure to harmful environmental factors may trigger pathologic processes in the neurodevelopment, which subsequently increase the risk of schizophrenia. Since brain white matter alterations have repeatedly been found in schizophrenia, the objective of this study was to investigate whether white matter integrity was related to the season of birth in patients with schizophrenia. Thirty-four patients with schizophrenia and 33 healthy controls underwent diffusion tensor imaging. Differences in the fractional anisotropy maps of schizophrenia patients and healthy controls born in different seasons were analysed with tract-based spatial statistics. A significant main effect of season of birth and an interaction of group and season of birth showed that patients born in summer had significantly lower fractional anisotropy in widespread white matter regions than those born in the remainder of the year. Additionally, later age of schizophrenia onset was found in patients born in winter months. The current findings indicate a relationship of season of birth and white matter alterations in schizophrenia and consequently support the neurodevelopmental hypothesis of early pathological mechanisms in schizophrenia.
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Affiliation(s)
- Stéphanie Giezendanner
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
- * E-mail: (SG); (AF)
| | - Sebastian Walther
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Nadja Razavi
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Claudia Van Swam
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Melanie Sarah Fisler
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Leila Maria Soravia
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Jennifer Andreotti
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Simon Schwab
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Kay Jann
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Roland Wiest
- University Institute of Diagnostic and Interventional Neuroradiology, Inselspital and University of Bern, Bern, Switzerland
| | - Helge Horn
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Thomas Jörg Müller
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Thomas Dierks
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Andrea Federspiel
- Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
- * E-mail: (SG); (AF)
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Yao L, Lui S, Liao Y, Du MY, Hu N, Thomas JA, Gong QY. White matter deficits in first episode schizophrenia: an activation likelihood estimation meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2013; 45:100-6. [PMID: 23648972 DOI: 10.1016/j.pnpbp.2013.04.019] [Citation(s) in RCA: 103] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2013] [Revised: 04/26/2013] [Accepted: 04/26/2013] [Indexed: 02/05/2023]
Abstract
BACKGROUND Diffusion tensor imaging (DTI) has been widely used in psychiatric research and has provided evidence of white matter abnormalities in first episode schizophrenia (FES). The goal of the present meta-analysis was to identify white matter deficits by DTI in FES. METHODS A systematic search was conducted to collect DTI studies with voxel-wised analysis of the fractional anisotropy (FA) in FES. The coordinates of regions with FA changes were meta-analyzed using the activation likelihood estimation (ALE) method which weighs each study on the basis of its sample size. RESULTS A total of 8 primary studies were selected, including 271 FES patients and 297 healthy controls. Among these studies, 52 regions showed reductions in the FA in FES while 2 regions had increased FA. Consistent FA reductions in the white matter of the right deep frontal and left deep temporal lobes were identified in all FES patients relative to healthy controls. Fiber tracking showed that the main tracts involved were the cingulum bundle, the left inferior longitudinal fasciculus, the left inferior fronto-occipital fasciculus and the interhemispheric fibers running through the corpus callosum. CONCLUSIONS The current findings provide evidence confirming the lack of connection in the fronto-limbic circuitry at the early stages of the schizophrenia. Because the coordinates reported in the primary literature were highly variable, future investigations with large samples would be required to support the identified white matter changes in FES.
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Affiliation(s)
- Li Yao
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, PR China
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SOX10 rs139883 polymorphism is associated with the age of onset in schizophrenia. J Mol Neurosci 2013; 50:333-8. [PMID: 23456610 DOI: 10.1007/s12031-013-9982-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2012] [Accepted: 02/15/2013] [Indexed: 12/30/2022]
Abstract
Schizophrenia is a common psychiatric disorder with high heritability. The age of onset is an important phenotype of schizophrenia and may be under considerable genetic control. Our previous study showed that a single nucleotide polymorphism (SNP) rs139887 in sex-determining region Y-box 10 (SOX10) gene was associated with the age of onset in schizophrenia. The aim of this study was to evaluate the effect of another SNP rs139883 in the exon 4 of SOX10 on schizophrenia using an early-onset samples in the Han Chinese population. A total of 309 schizophrenic patients with onset before age 18 and 390 healthy controls were recruited for association study. No significant differences of allele or genotype frequencies were identified between the schizophrenic patients and controls. However, the C allele was significantly associated with an earlier age of onset in total patients and male patients (Kaplan-Meier log rank test P = 0.026; Kaplan-Meier log rank test P = 0.047, respectively), but not in females. In conclusion, the SOX10 rs139883 polymorphism influenced the age of onset of schizophrenia in a gender-specific manner and this may represent a vital genetic clue for the etiology of schizophrenia.
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