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Liu W, Cai X, Chang Y, Zhu Y, Cai M, Xu J. Structural abnormalities in the Fronto-Parietal Network: Linking white matter integrity to sustained attention deficits in Schizophrenia. Brain Res Bull 2023; 205:110818. [PMID: 37972900 DOI: 10.1016/j.brainresbull.2023.110818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/26/2023] [Accepted: 11/13/2023] [Indexed: 11/19/2023]
Abstract
Schizophrenia is associated with a range of cognitive deficits, among which impairments in sustained attention are particularly significant. Previous research has investigated functional changes in the fronto-parietal network (FPN) related to attentional control in schizophrenia. However, the role of structural connectivity within the FPN in sustained attention deficits remains under-explored. Utilizing diffusion tensor imaging (DTI), this study investigated white matter integrity in 75 participants, comprising 37 individuals with schizophrenia (SZ) and 38 healthy controls (HC). Psychomotor vigilance task (PVT) performance was assessed to gauge sustained attention. The SZ group showed a significant reduction in fractional anisotropy (FA) and streamline counts within white matter tracts connecting frontal and parietal regions, compared to the HC group. Further, significant negative correlations were found between PVT performance and white matter integrity measures within the SZ group, specifically in the left FPN. Our findings indicate that structural abnormalities in the FPN are associated with sustained attention deficits in schizophrenia. These results contribute to our understanding of the neurobiological mechanisms underlying cognitive impairments in schizophrenia and offer potential avenues for targeted therapeutic interventions. Further research is warranted to validate these outcomes and explore their clinical implications.
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Affiliation(s)
- WenMing Liu
- Department of Psychiatry, Xijing Hospital, Air Force Medical University, Xian, Shaanxi, China
| | - XinNan Cai
- Xian Investigation Surveying and Mapping Institute, Xian, Shaanxi, China
| | - Yingjuan Chang
- Department of Radiology, Xijing Hospital, Air Force Medical University, Xian, Shaanxi, China
| | - Yuanqiang Zhu
- Department of Radiology, Xijing Hospital, Air Force Medical University, Xian, Shaanxi, China
| | - Min Cai
- Department of Psychiatry, Xijing Hospital, Air Force Medical University, Xian, Shaanxi, China.
| | - Jian Xu
- Department of Radiology, Xijing Hospital, Air Force Medical University, Xian, Shaanxi, China; Department of Interventional Surgery center, Xijing Hospital, Air Force Medical University, Xian, Shaanxi, China.
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2
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Choi EJ, Westmacott R, Kirkham FJ, Robertson A, Muthusami P, Shroff M, Moharir M, Williams T, Dirks P, MacGregor D, Slim M, Pulcine E, Bhathal I, Kaseka ML, Kassner A, Logan W, deVeber G, Dlamini N. Fronto-Parietal and White Matter Haemodynamics Predict Cognitive Outcome in Children with Moyamoya Independent of Stroke. Transl Stroke Res 2022; 13:757-773. [PMID: 35338434 DOI: 10.1007/s12975-022-01003-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 03/03/2022] [Accepted: 03/04/2022] [Indexed: 10/18/2022]
Abstract
Moyamoya disease is a major arteriopathy characterised by progressive steno-occlusion of the arteries of the circle of Willis. Studies in adults with moyamoya suggest an association between abnormal fronto-parietal and white matter regional haemodynamics and cognitive impairments, even in the absence of focal infarction. However, these associations have not been investigated in children with moyamoya. We examined the relationship between regional haemodynamics and ratings of intellectual ability and executive function, using hypercapnic challenge blood oxygen level-dependent magnetic resonance imaging of cerebrovascular reactivity in a consecutive cohort of children with confirmed moyamoya. Thirty children were included in the final analysis (mean age: 12.55 ± 3.03 years, 17 females, 15 idiopathic moyamoya and 15 syndromic moyamoya). Frontal haemodynamics were abnormal in all regardless of stroke history and comorbidity, but occipital lobe haemodynamics were also abnormal in children with syndromic moyamoya. Executive function deficits were noted in both idiopathic and syndromic moyamoya, whereas intellectual ability was impaired in syndromic moyamoya, even in the absence of stroke. Analysis of the relative effect of regional abnormal haemodynamics on cognitive outcomes demonstrated that executive dysfunction was predominantly explained by right parietal and white matter haemodynamics independent of stroke and comorbidity, while posterior circulation haemodynamics predicted intellectual ability. These results suggest that parietal and posterior haemodynamics play a compensatory role in overcoming frontal vulnerability and cognitive impairment.
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Affiliation(s)
- Eun Jung Choi
- Neurosciences and Mental Health Program, Stroke Imaging Laboratory for Children, The Hospital for Sick Children, Toronto, ON, Canada
| | - Robyn Westmacott
- Department of Neuropsychology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Fenella J Kirkham
- Developmental Neurosciences and Biomedical Research Centre, University College London Great Ormond Street Institute of Child Health, London, UK
| | - Amanda Robertson
- Neurosciences and Mental Health Program, Stroke Imaging Laboratory for Children, The Hospital for Sick Children, Toronto, ON, Canada
- Stroke Program, Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada
- Child Health Evaluative Sciences Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Prakash Muthusami
- Diagnostic Imaging, The Hospital for Sick Children, ON, Toronto, Canada
- Medical Imaging, University of Toronto, ON, Toronto, Canada
| | - Manohar Shroff
- Diagnostic Imaging, The Hospital for Sick Children, ON, Toronto, Canada
- Medical Imaging, University of Toronto, ON, Toronto, Canada
| | - Mahendranath Moharir
- Stroke Program, Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Tricia Williams
- Department of Neuropsychology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Peter Dirks
- Department of Neurosurgery, The Hospital for Sick Children, Toronto, ON, Canada
| | - Daune MacGregor
- Stroke Program, Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Mahmoud Slim
- Child Health Evaluative Sciences Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Elizabeth Pulcine
- Stroke Program, Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Ishvinder Bhathal
- Stroke Program, Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Matsanga Leyila Kaseka
- Stroke Program, Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Andrea Kassner
- Medical Imaging, University of Toronto, ON, Toronto, Canada
- Department of Translational Medicine, The Hospital for Sick Children, Peter Gilgan Centre for Research & Learning, ON, Toronto, Canada
| | - William Logan
- Stroke Program, Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Gabrielle deVeber
- Stroke Program, Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada
- Child Health Evaluative Sciences Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Nomazulu Dlamini
- Neurosciences and Mental Health Program, Stroke Imaging Laboratory for Children, The Hospital for Sick Children, Toronto, ON, Canada.
- Stroke Program, Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada.
- Child Health Evaluative Sciences Program, The Hospital for Sick Children, Toronto, ON, Canada.
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Zhang C, Ni P, Liang S, Li X, Tian Y, Du X, Wei W, Meng Y, Wei J, Ma X, Deng W, Guo W, Li M, Yu H, Zhao L, Wang Q, Pak SC, Li T. Alterations in CRY2 and PER3 gene expression associated with thalamic-limbic community structural abnormalities in patients with bipolar depression or unipolar depression. J Affect Disord 2022; 298:472-480. [PMID: 34732337 DOI: 10.1016/j.jad.2021.10.125] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 09/30/2021] [Accepted: 10/20/2021] [Indexed: 02/05/2023]
Abstract
Objectives The current study aimed to identify shared and distinct brain structure abnormalities and their relationships with the expression of circadian genes in patients with bipolar or unipolar depression. Method A total of 93 subjects participated in this study, including 32 patients with bipolar depression (BDP), 26 patients with unipolar depression (UDP) and 35 age- and sex-matched healthy controls. Brain structural magnetic resonance imaging scans were obtained, and optimized voxel-based morphometry was used to explore group differences in regional gray matter volume (GMV). The mRNA expression levels of circadian genes in peripheral blood were measured using reverse transcription quantitative real-time polymerase chain reaction. Results Our results showed that the GMV in brain regions in the thalamus-limbic pathways had significantly increased in the BDP patients compared to controls, while the increased GMV in UDP patients compared to controls was limited to the thalamus. The mRNA expression levels of circadian-related genes decreased significantly in patients with BDP, but increased in patients with UDP, compared to controls. In addition, the GMV in the right thalamus in the patients with UDP was positively associated with mRNA levels of CRY2, while the GMV in the right hippocampus in the patients with BDP was negatively associated with mRNA levels of PER3. Conclusion Our study suggested that patients with BDP or MDD shared GMV abnormalities in the right thalamus. The PER3 and CRY2 genes might be critical to right hippocampal dysfunction in BDP and right thalamic dysfunction in UDP, respectively. The result provided potentially important molecular targets for the treatment of mood disorders.
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Affiliation(s)
- Chengcheng Zhang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Peiyan Ni
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Sugai Liang
- Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiaojing Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yang Tian
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiangdong Du
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, China
| | - Wei Wei
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yajing Meng
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Jinxue Wei
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiaohong Ma
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Wanjun Guo
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Mingli Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Hua Yu
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Liansheng Zhao
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Sham C Pak
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China; Centre for PanorOmic Sciences, The University of Hong Kong, Hong Kong, SAR, China; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, SAR, China
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China; Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.
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4
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Zhang X, Liu W, Guo F, Li C, Wang X, Wang H, Yin H, Zhu Y. Disrupted structural covariance network in first episode schizophrenia patients: Evidence from a large sample MRI-based morphometric study. Schizophr Res 2020; 224:24-32. [PMID: 33203611 DOI: 10.1016/j.schres.2020.11.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 09/30/2020] [Accepted: 11/02/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Recent progress in neuroscience research has provided evidence that schizophrenia is a disease that involves dysconnectivity of brain networks. Widespread gray matter loss was commonly observed but how these gray matter abnormalities are characterized at the large-scale network-level in schizophrenia, especially patients with first-episode (FE-SCZ) remains unclear. METHODS In this study, gray matter structural network aberrations were investigated by applying structural covariance network analysis to 193 first episode schizophrenia patients and 178 age and gender-matched healthy controls (HCs). The mean gray matter volume in seed regions relating to eight specific networks (visual, auditory, sensorimotor, speech, semantic, default-mode, executive control, and salience) were extracted, and voxel-wise analyses of covariance were conducted to compare the association between whole-brain gray matter volume and each seed region for FE-SCZ and HCs. RESULTS The auditory network was less extended in FE-SCZ compared with HCs, with a significant decrease in the structural association between the Hesch's gyrus and the middle frontal gyrus and the superior frontal gyrus. Hyperconnectivity was observed in executive control network with a significant increase in the structural association between the dorsal lateral prefrontal cortex and the superior frontal gyrus and supplementary motor area. CONCLUSION Our research shows that seed based structural covariance analysis can well characterize multiple large-scale networks, the observed changes might underly the hallucinations and cognitive impairments observed in FE-SCZ. Given that these patients were experiencing their first episode of schizophrenia, our findings suggest that such structural network deficits are present at an early stage in this disorder.
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Affiliation(s)
- Xiao Zhang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Wenming Liu
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Fan Guo
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Chen Li
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Xingrui Wang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Hong Yin
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
| | - Yuanqiang Zhu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
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Holleran L, Kelly S, Alloza C, Agartz I, Andreassen OA, Arango C, Banaj N, Calhoun V, Cannon D, Carr V, Corvin A, Glahn DC, Gur R, Hong E, Hoschl C, Howells FM, James A, Janssen J, Kochunov P, Lawrie SM, Liu J, Martinez C, McDonald C, Morris D, Mothersill D, Pantelis C, Piras F, Potkin S, Rasser PE, Roalf D, Rowland L, Satterthwaite T, Schall U, Spalletta G, Spaniel F, Stein DJ, Uhlmann A, Voineskos A, Zalesky A, van Erp TG, Turner JA, Deary IJ, Thompson PM, Jahanshad N, Donohoe G. The Relationship Between White Matter Microstructure and General Cognitive Ability in Patients With Schizophrenia and Healthy Participants in the ENIGMA Consortium. Am J Psychiatry 2020; 177:537-547. [PMID: 32212855 PMCID: PMC7938666 DOI: 10.1176/appi.ajp.2019.19030225] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Schizophrenia has recently been associated with widespread white matter microstructural abnormalities, but the functional effects of these abnormalities remain unclear. Widespread heterogeneity of results from studies published to date preclude any definitive characterization of the relationship between white matter and cognitive performance in schizophrenia. Given the relevance of deficits in cognitive function to predicting social and functional outcomes in schizophrenia, the authors carried out a meta-analysis of available data through the ENIGMA Consortium, using a common analysis pipeline, to elucidate the relationship between white matter microstructure and a measure of general cognitive performance, IQ, in patients with schizophrenia and healthy participants. METHODS The meta-analysis included 760 patients with schizophrenia and 957 healthy participants from 11 participating ENIGMA Consortium sites. For each site, principal component analysis was used to calculate both a global fractional anisotropy component (gFA) and a fractional anisotropy component for six long association tracts (LA-gFA) previously associated with cognition. RESULTS Meta-analyses of regression results indicated that gFA accounted for a significant amount of variation in cognition in the full sample (effect size [Hedges' g]=0.27, CI=0.17-0.36), with similar effects sizes observed for both the patient (effect size=0.20, CI=0.05-0.35) and healthy participant groups (effect size=0.32, CI=0.18-0.45). Comparable patterns of association were also observed between LA-gFA and cognition for the full sample (effect size=0.28, CI=0.18-0.37), the patient group (effect size=0.23, CI=0.09-0.38), and the healthy participant group (effect size=0.31, CI=0.18-0.44). CONCLUSIONS This study provides robust evidence that cognitive ability is associated with global structural connectivity, with higher fractional anisotropy associated with higher IQ. This association was independent of diagnosis; while schizophrenia patients tended to have lower fractional anisotropy and lower IQ than healthy participants, the comparable size of effect in each group suggested a more general, rather than disease-specific, pattern of association.
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Affiliation(s)
- Laurena Holleran
- School of Psychology, Centre for Neuroimaging and Cognitive Genomics, National Centre for Biomedical Engineering Science and Galway Neuroscience Centre, National University of Ireland Galway, Galway
| | - Sinead Kelly
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey
| | - Clara Alloza
- Department of Psychiatry, University of Edinburgh, Edinburgh; Department of Child and Adolescent Psychiatry, Instituto de Investigación Sanitaria Gregorio Marañón, IiSGM, Hospital General Universitario Gregorio Marañón, School of Medicine, CIBERSAM, Universidad Complutense, Madrid
| | - Ingrid Agartz
- NORMENT, K.G. Jebsen Center for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo
| | - Ole A. Andreassen
- Department of Psychiatry, Ullevål University Hospital and Institute of Psychiatry, University of Oslo, Oslo
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Instituto de Investigación Sanitaria Gregorio Marañón, IiSGM, Hospital General Universitario Gregorio Marañón, School of Medicine, CIBERSAM, Universidad Complutense, Madrid
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome
| | - Vince Calhoun
- Mind Research Network and Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque
| | - Dara Cannon
- School of Psychology, Centre for Neuroimaging and Cognitive Genomics, National Centre for Biomedical Engineering Science and Galway Neuroscience Centre, National University of Ireland Galway, Galway
| | - Vaughan Carr
- Neuroscience Research Australia and School of Psychiatry, University of New South Wales, Sydney
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Trinity College Dublin
| | - David C. Glahn
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital and Department of Psychiatry, Yale University School of Medicine, New Haven, Conn
| | - Ruben Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia
| | - Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore
| | - Cyril Hoschl
- National Institute of Mental Health, Klecany, Czech Republic
| | - Fleur M. Howells
- Department of Psychiatry and Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | | | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Instituto de Investigación Sanitaria Gregorio Marañón, IiSGM, Hospital General Universitario Gregorio Marañón, School of Medicine, CIBERSAM, Universidad Complutense, Madrid
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore
| | | | - Jingyu Liu
- Mind Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, N.Mex
| | - Covadonga Martinez
- Department of Child and Adolescent Psychiatry, Instituto de Investigación Sanitaria Gregorio Marañón, IiSGM, Hospital General Universitario Gregorio Marañón, School of Medicine, CIBERSAM, Universidad Complutense, Madrid
| | - Colm McDonald
- School of Psychology, Centre for Neuroimaging and Cognitive Genomics, National Centre for Biomedical Engineering Science and Galway Neuroscience Centre, National University of Ireland Galway, Galway
| | - Derek Morris
- School of Psychology, Centre for Neuroimaging and Cognitive Genomics, National Centre for Biomedical Engineering Science and Galway Neuroscience Centre, National University of Ireland Galway, Galway
| | - David Mothersill
- School of Psychology, Centre for Neuroimaging and Cognitive Genomics, National Centre for Biomedical Engineering Science and Galway Neuroscience Centre, National University of Ireland Galway, Galway
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Australia
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome
| | - Steven Potkin
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine
| | - Paul E. Rasser
- Priority Centre for Brain and Mental Health Research, Priority Research Centre for Stroke and Brain Injury, University of Newcastle, Newcastle, Australia
| | - David Roalf
- Department of Psychiatry, University of Pennsylvania, Philadelphia
| | - Laura Rowland
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore
| | | | - Ulrich Schall
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, Australia
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome; Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston
| | - Filip Spaniel
- National Institute of Mental Health, Klecany, Czech Republic
| | - Dan J. Stein
- Department of Psychiatry and Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Anne Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Aristotle Voineskos
- Kimel Family Translational Imaging-Genetics Research Laboratory, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Australia; Department of Biomedical Engineering and Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Australia
| | - Theo G.M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, and Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine
| | | | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey
| | - Gary Donohoe
- School of Psychology, Centre for Neuroimaging and Cognitive Genomics, National Centre for Biomedical Engineering Science and Galway Neuroscience Centre, National University of Ireland Galway, Galway
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Ohoshi Y, Takahashi S, Yamada S, Ishida T, Tsuda K, Tsuji T, Terada M, Shinosaki K, Ukai S. Microstructural abnormalities in callosal fibers and their relationship with cognitive function in schizophrenia: A tract-specific analysis study. Brain Behav 2019; 9:e01357. [PMID: 31283112 PMCID: PMC6710197 DOI: 10.1002/brb3.1357] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 05/14/2019] [Accepted: 06/14/2019] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION The corpus callosum serves the essential role of relaying cognitive information between the homologous regions in the left and the right hemispheres of the brain. Cognitive impairment is a core dysfunction of schizophrenia, but much of its pathophysiology is unknown. The aim of this study was to elucidate the association between microstructural abnormalities of the corpus callosum and cognitive dysfunction in schizophrenia. METHODS We examined stepwise multiple regression analysis to investigate the relationship of the fractional anisotropy (FA) of callosal fibers in each segment with z-scores of each brief assessment of cognition in schizophrenia subtest and cognitive composite score in all subjects (19 patients with schizophrenia [SZ group] and 19 healthy controls [HC group]). Callosal fibers were separated into seven segments based on their cortical projection using tract-specific analysis of diffusion tensor imaging. RESULTS The FA of callosal fibers in the temporal segment was significantly associated with z-scores of token motor test, Tower of London test, and the composite score. In the SZ group, the FA of callosal fibers in the temporal segment was significantly associated with the z-score of the Tower of London test. In addition, the FA of callosal fibers in temporal segment showed significant negative association with the positive and negative syndrome scale negative score in the SZ group. Compared to the HC group, the FA in temporal segment was significantly decreased in the SZ group. CONCLUSION Our results suggest that microstructural abnormalities in the callosal white matter fibers connecting bilateral temporal lobe cortices contribute to poor executive function and severe negative symptom in patients with schizophrenia.
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Affiliation(s)
- Yuji Ohoshi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Shun Takahashi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Shinichi Yamada
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Takuya Ishida
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Kumi Tsuda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Tomikimi Tsuji
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | | | - Kazuhiro Shinosaki
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan.,Asakayama General Hospital, Osaka, Japan
| | - Satoshi Ukai
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
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Xiang B, Wang Q, Lei W, Li M, Li Y, Zhao L, Ma X, Wang Y, Yu H, Li X, Meng Y, Guo W, Deng W, Ren H, Li T. Genes in immune pathways associated with abnormal white matter integrity in first-episode and treatment-naïve patients with schizophrenia. Br J Psychiatry 2019; 214:281-287. [PMID: 30722794 DOI: 10.1192/bjp.2018.297] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Previous studies have inferred a strong genetic component in schizophrenia. However, the genetic variants involved in the susceptibility to schizophrenia remain unclear.AimsTo detect potential gene pathways and networks associated with schizophrenia, and to explore the relationship between common and rare variants in these pathways and abnormal white matter integrity in schizophrenia. METHOD The analysis included 100 first-episode treatment-naïve patients with schizophrenia and 140 healthy controls. A network-based analysis was carried out on the data collected from the Psychiatric Genomics Consortium Phase I (PGC-I). Based on our genome-wide association study and whole-exome sequencing data-sets, we performed a gene-set analysis to detect associations between the combining effects of common and rare genetic variants and abnormal white matter integrity in schizophrenia. RESULTS Patients had significantly reduced functional anisotropy in the left and right anterior cingulate cortex, left and right precuneus and extra-nuclear (t = 4.61-5.10, PFDR < 0.01), compared with controls. Generated from co-expression network analysis of the PGC-1 summary statistics of schizophrenia, a subnetwork of 207 genes associated with schizophrenia was identified (P < 0.01), and 176 genes were co-expressed in four gene modules. Functional enrichment analysis for genes in each module revealed that the yellow module was enriched with highly co-expressed, innate immune response genes. Furthermore, rare variants of enriched genes in the yellow module were associated with reduced functional anisotropy in the left anterior cingulate cortex (P = 0.006; Padjusted = 0.024) in patients only. CONCLUSIONS The pathogenesis of schizophrenia may be substantially influenced by genes involved in the immune system, via both pathway and network.Declaration of interestsNone.
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Affiliation(s)
- Bo Xiang
- Assistant Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University; andDepartment of Psychiatry,Affiliated Hospital of Southwest Medical University,China
| | - Qiang Wang
- Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Wei Lei
- Assistant Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University; andDepartment of Psychiatry,Affiliated Hospital of Southwest Medical University,China
| | - Mingli Li
- Associate Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Yinfei Li
- Attending Doctor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Liansheng Zhao
- Assistant Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Xiaohong Ma
- Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Yingcheng Wang
- Assistant Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Hua Yu
- Attending Doctor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Xiaojing Li
- Attending Doctor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Yajing Meng
- Attending Doctor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Wanjun Guo
- Associate Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Wei Deng
- Associate Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Hongyan Ren
- Attending Doctor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Tao Li
- Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
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8
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Poppe AB, Barch DM, Carter CS, Gold JM, Ragland JD, Silverstein SM, MacDonald AW. Reduced Frontoparietal Activity in Schizophrenia Is Linked to a Specific Deficit in Goal Maintenance: A Multisite Functional Imaging Study. Schizophr Bull 2016; 42:1149-57. [PMID: 27060129 PMCID: PMC4988742 DOI: 10.1093/schbul/sbw036] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Patients with schizophrenia (SZ) previously demonstrated specific deficits in an executive function known as goal maintenance, associated with reduced middle frontal gyrus (MFG) activity. This study aimed to validate a new tool-the Dot Pattern Expectancy (DPX) task-developed to facilitate multisite imaging studies of goal maintenance deficits in SZ or other disorders. Additionally, it sought to arrive at recommendations for scan length for future studies using the DPX. Forty-seven SZ and 56 healthy controls (HC) performed the DPX in 3-Tesla functional magnetic resonance imaging (fMRI) scanners at 5 sites. Group differences in DPX-related activity were examined with whole brain voxelwise analyses. SZs showed the hypothesized specific performance deficits with as little as 1 block of data. Reduced activity in SZ compared with HC was observed in bilateral frontal pole/MFG, as well as left posterior parietal lobe. Efficiency analyses found significant group differences in activity using 18 minutes of scan data but not 12 minutes. Several behavioral and imaging findings from the goal maintenance literature were robustly replicated despite the use of different scanners at different sites. We did not replicate a previous correlation with disorganization symptoms among patients. Results were consistent with an executive/attention network dysfunction in the higher levels of a cascading executive system responsible for goal maintenance. Finally, efficiency analyses found that 18 minutes of scanning during the DPX task is sufficient to detect group differences with a similar sample size.
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Affiliation(s)
- Andrew B. Poppe
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | - Deanna M. Barch
- Departments of Psychology & Brain Science, Radiology, and Psychiatry, Washington University School of Medicine, St Louis, MO
| | - Cameron S. Carter
- Department of Psychiatry, University of California at Davis, Sacramento, CA;,Department of Psychology, University of California at Davis, Davis, CA, USA
| | - James M. Gold
- Maryland Psychiatric Research Center and University of Maryland School of Medicine, Baltimore, MD
| | | | - Steven M. Silverstein
- Department of Psychiatry, Rutgers–Robert Wood Johnson Medical School, Piscataway, NJ
| | - Angus W. MacDonald
- Department of Psychology, University of Minnesota, Minneapolis, MN;,Department of Psychiatry, University of Minnesota, Minneapolis, MN,*To whom correspondence should be addressed; Department of Psychology, University of Minnesota, 75 E River Road, Minneapolis, MN 55455, US; tel: 612-624-3813; fax: 612-625-6668, e-mail:
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9
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The Paradoxical Relationship between White Matter, Psychopathology and Cognition in Schizophrenia: A Diffusion Tensor and Proton Spectroscopic Imaging Study. Neuropsychopharmacology 2015; 40:2248-57. [PMID: 25786581 PMCID: PMC4613618 DOI: 10.1038/npp.2015.72] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2014] [Revised: 02/23/2015] [Accepted: 02/24/2015] [Indexed: 12/19/2022]
Abstract
White matter disruption has been repeatedly documented in schizophrenia consistent with microstructural disorganization (reduced fractional anisotropy (FA)) and axonal dysfunction (reduced N-acetylaspartate NAAc). However, the clinical significance of these abnormalities is poorly understood. Diffusion tensor and proton spectroscopic imaging where used to assess FA, axial diffusivity and radial diffusivity (RD), and supra-ventricular white matter NAAc, respectively, in 64 schizophrenia and 64 healthy subjects. Schizophrenia patients had reduced FA across several regions, with additional regions where FA correlated positively with positive symptoms severity. These regions included genu, body and splenium of corpus callosum, anterior and superior corona radiata, superior longitudinal and inferior fronto-occipital fasciculi, and internal capsule. The FA/symptoms relationships corresponded with opposite correlations between RD and positive symptoms. The schizophrenia group (SP group) had progressively reduced NAAc with age, and NAAc correlated negatively with positive symptoms. Cognition correlated positively with both FA and NAAc in controls, whereas in the SP group it had a negative correlation with NAAc and no significant relationship with FA. Antipsychotic dose did not account for the results. Correlates of psychosis, cognitive and negative symptoms can be found in white matter. The significant correlations between positive symptoms in schizophrenia and diffusion and NAAc measures suggest decreased axonal density with increased glial cells and higher myelination in this subpopulation. A separate set of abnormal relationships between cognition and FA/RD, as well as with NAAc, converge to suggest that in schizophrenia, white matter microstructure supports the two core illness domains: psychosis and cognitive/negative symptoms.
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10
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Abnormal white matter integrity in antipsychotic-naïve first-episode psychosis patients assessed by a DTI principal component analysis. Schizophr Res 2015; 162:14-21. [PMID: 25620120 PMCID: PMC4339463 DOI: 10.1016/j.schres.2015.01.019] [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: 09/30/2014] [Revised: 01/09/2015] [Accepted: 01/12/2015] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Diffusion tensor imaging (DTI) studies in patients with schizophrenia have shown abnormalities in the microstructure of white matter tracts. Specifically, reduced fractional anisotropy (FA) has been described across multiple white matter tracts, in studies that have mainly included patients treated with antipsychotic medications. OBJECTIVE To compare FA in antipsychotic-naïve patients experiencing a first episode of psychosis (FEP) to FA in healthy controls to demonstrate that the variance of FA can be grouped, in a coincidental manner, in four predetermined factors in accordance with a theoretical partition of the white matter tracts, using a principal components analysis (PCA). METHODS Thirty-five antipsychotic-naïve FEP patients and 35 age- and gender-matched healthy controls underwent DTI at 3T. Analysis was performed using a tract-based spatial statistics (TBSS) method and exploratory PCA. RESULTS DTI analysis showed extensive FA reduction in white matter tracts in FEP patients compared with the control group. The PCA grouped the white matter tracts into four factors explaining 66% of the total variance. Comparison of the FA values within each factor highlighted the differences between FEP patients and controls. DISCUSSION Our study confirms extensive white matter tracts anomalies in patients with schizophrenia, more specifically, in drug-naïve FEP patients. The results also indicate that a small number of white matter tracts share common FA anomalies that relate to deficit symptoms in FEP patients. Our study adds to a growing body of literature emphasizing the need for treatments targeting white matter function and structure in FEP patients.
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11
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Huang C, Kang Y, Zhang B, Li B, Qiu C, Liu S, Ren H, Yang Y, Liu X, Li T, Guo W. Anti-N-methyl-d-aspartate receptor encephalitis in a patient with a 7-year history of being diagnosed as schizophrenia: complexities in diagnosis and treatment. Neuropsychiatr Dis Treat 2015; 11:1437-42. [PMID: 26089673 PMCID: PMC4468991 DOI: 10.2147/ndt.s82930] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis is a form of autoimmune encephalitis associated with antibodies against the NR1 subunits of NMDARs. Although new-onset acute prominent psychotic syndromes in patients with NMDAR encephalitis have been well documented, there is a lack of case studies on differential diagnosis and treatment of anti-NMDAR encephalitis after a long-term diagnostic history of functional psychotic disorders. The present study reports an unusual case of anti-NMDAR encephalitis. The patient had been diagnosed with schizophrenia 7 years earlier, and was currently hospitalized for acute-onset psychiatric symptoms. The diagnosis became unclear when the initial psychosis was confounded with considerations of other neurotoxicities (such as neuroleptic malignant syndrome). Finally, identification of specific immunoglobulin G NR1 autoantibodies in the cerebrospinal fluid and greater effectiveness of immunotherapy over antipsychotics alone (which has been well documented in anti-NMDAR encephalitis) indicated the diagnosis of anti-NMDAR encephalitis in this case. Based on the available evidence, however, the relationship between the newly diagnosed anti-NMDAR encephalitis and the seemingly clear, long-term history of schizophrenia in the preceding 7 years is uncertain. This case report illustrates that psychiatrists should consider anti-NMDAR encephalitis and order tests for specific immunoglobulin G NR1 autoantibodies in patients presenting with disorientation, disturbance of consciousness, cognitive deficit, dyskinesia, autonomic disturbance, or rapid deterioration, even with a seemingly clear history of a psychiatric disorder and no specific findings on routine neuroimaging, electroencephalography, or cerebrospinal fluid tests in the early stage of the illness.
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Affiliation(s)
- Chaohua Huang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China ; State Key Laboratory of Biotherapy, Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China ; Mental Health Center, Affiliated Hospital of Luzhou Medical College, Luzhou, People's Republic of China
| | - Yukun Kang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Bo Zhang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Bin Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Changjian Qiu
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Shanming Liu
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Hongyan Ren
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China ; State Key Laboratory of Biotherapy, Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Yanchun Yang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Xiehe Liu
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Tao Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China ; State Key Laboratory of Biotherapy, Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China ; Mental Health Education Center, Sichuan University, Chengdu, Sichuan, People's Republic of China
| | - Wanjun Guo
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China ; State Key Laboratory of Biotherapy, Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China
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12
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Peters BD, Karlsgodt KH. White matter development in the early stages of psychosis. Schizophr Res 2015; 161:61-9. [PMID: 24893908 PMCID: PMC4250450 DOI: 10.1016/j.schres.2014.05.021] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 05/06/2014] [Accepted: 05/09/2014] [Indexed: 12/19/2022]
Abstract
Schizophrenia has been conceptualized as a disorder of both neurodevelopment and a disorder of connectivity. One important aspect of the neurodevelopmental hypothesis is that schizophrenia is no longer thought to have discrete illness time points, but rather a long trajectory of brain changes, spanning many years, across a series of stages of the disease including the prodrome, first episode, and chronic period. As the disease progresses, there is a complex relationship between age related changes and disease related changes. Therefore, neural changes, and specifically white matter based connectivity changes, in schizophrenia may be best conceptualized based on a lifespan trajectory. In this selective review, we discuss healthy changes in white matter integrity that occur with age, as well as changes that occur across illness stages. We further propose a set of models that might explain lifespan changes in white matter integrity in schizophrenia, with the conclusion that the evidence most strongly supports a pattern of disrupted maturation during adolescence, with the potential for later changes that may be a result of disease neurotoxicity, abnormal or excessive aging effects, as well as medication, cohort or other effects. Thus, when considering white matter integrity in psychosis, it is critical to consider age in addition to other contributing factors including disease specific effects. Discovery of the factors driving healthy white matter development across the lifespan and deviations from the normal developmental trajectory may provide insights relevant to the discovery of early treatment interventions.
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Affiliation(s)
- Bart D. Peters
- Division of Psychiatry Research, Zucker Hillside Hospital, NorthShore-LIJ Health System, Glen Oaks, NY
| | - Katherine H. Karlsgodt
- Division of Psychiatry Research, Zucker Hillside Hospital, NorthShore-LIJ Health System, Glen Oaks, NY,Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY,Department of Psychiatry, Hofstra NorthShore-LIJ School of Medicine, Hempstead, NY
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13
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Ellison-Wright I, Nathan PJ, Bullmore ET, Zaman R, Dudas RB, Agius M, Fernandez-Egea E, Müller U, Dodds CM, Forde NJ, Scanlon C, Leemans A, McDonald C, Cannon DM. Distribution of tract deficits in schizophrenia. BMC Psychiatry 2014; 14:99. [PMID: 24693962 PMCID: PMC4108049 DOI: 10.1186/1471-244x-14-99] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2013] [Accepted: 03/19/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. METHODS 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. RESULTS No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). CONCLUSIONS In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. The pathology of schizophrenia may preferentially affect the prefrontal-thalamic white matter circuits traversing these regions.
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Affiliation(s)
- Ian Ellison-Wright
- Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, Cambridge CB2 0SZ, UK,Avon and Wiltshire Mental Health Partnership NHS Trust, Heathwood, Fountain Way, Salisbury SP2 7FD, UK
| | - Pradeep J Nathan
- Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, Cambridge CB2 0SZ, UK,School of Psychology and Psychiatry, Monash University, Building 17, Clayton Campus, Wellington Road, Clayton, VIC 3800, Australia,New Medicines, UCB Pharma, Chemin du Foriest B-1420, Braine-l'Alleud, Belgium
| | - Edward T Bullmore
- Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, Cambridge CB2 0SZ, UK,GlaxoSmithKline, Clinical Unit Cambridge (CUC), Addenbrooke’s Centre for Clinical Investigation (ACCI), Addenbrooke’s Hospital, Hills Road, PO Box 128, Cambridge CB2 0GG, UK
| | - Rashid Zaman
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Box 189, Cambridge CB2 2QQ, UK,South Essex Partnership University NHS Foundation Trust (SEPT), The Lodge, The Chase, Wickford, Essex SS11 7XX, United Kingdom
| | - Robert B Dudas
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Box 189, Cambridge CB2 2QQ, UK,Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) Elizabeth House, Fulbourn Hospital, Fulbourn, Cambridge CB21 5EF, UK
| | - Mark Agius
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Box 189, Cambridge CB2 2QQ, UK,South Essex Partnership University NHS Foundation Trust (SEPT), The Lodge, The Chase, Wickford, Essex SS11 7XX, United Kingdom
| | - Emilio Fernandez-Egea
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Box 189, Cambridge CB2 2QQ, UK,Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) Elizabeth House, Fulbourn Hospital, Fulbourn, Cambridge CB21 5EF, UK,Behavioural Clinical Neuroscience Institute (BCNI), University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Box 189, Cambridge CB2 2QQ, UK
| | - Ulrich Müller
- Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, Cambridge CB2 0SZ, UK,Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) Elizabeth House, Fulbourn Hospital, Fulbourn, Cambridge CB21 5EF, UK
| | - Chris M Dodds
- GlaxoSmithKline, Clinical Unit Cambridge (CUC), Addenbrooke’s Centre for Clinical Investigation (ACCI), Addenbrooke’s Hospital, Hills Road, PO Box 128, Cambridge CB2 0GG, UK
| | - Natalie J Forde
- Clinical Neuroimaging Laboratory, Departments of Anatomy & Psychiatry, College of Medicine, Nursing and Health Sciences, 202 Comerford Suite, Clinical Sciences Institute, National University of Ireland, Galway, Republic of Ireland
| | - Cathy Scanlon
- Clinical Neuroimaging Laboratory, Departments of Anatomy & Psychiatry, College of Medicine, Nursing and Health Sciences, 202 Comerford Suite, Clinical Sciences Institute, National University of Ireland, Galway, Republic of Ireland
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Q.S.459, P.O. Box 85500, 3508 GA Utrecht, The Netherlands
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Departments of Anatomy & Psychiatry, College of Medicine, Nursing and Health Sciences, 202 Comerford Suite, Clinical Sciences Institute, National University of Ireland, Galway, Republic of Ireland
| | - Dara M Cannon
- Clinical Neuroimaging Laboratory, Departments of Anatomy & Psychiatry, College of Medicine, Nursing and Health Sciences, 202 Comerford Suite, Clinical Sciences Institute, National University of Ireland, Galway, Republic of Ireland
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14
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The neural correlates of mental rotation abilities in cannabis-abusing patients with schizophrenia: an FMRI study. SCHIZOPHRENIA RESEARCH AND TREATMENT 2013; 2013:543842. [PMID: 23970971 PMCID: PMC3730190 DOI: 10.1155/2013/543842] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2013] [Revised: 06/20/2013] [Accepted: 07/02/2013] [Indexed: 11/17/2022]
Abstract
Growing evidence suggests that cannabis abuse/dependence is paradoxically associated with better cognition in schizophrenia. Accordingly, we performed a functional magnetic resonance imaging (fMRI) study of visuospatial abilities in 14 schizophrenia patients with cannabis abuse (DD), 14 nonabusing schizophrenia patients (SCZ), and 21 healthy controls (HCs). Participants performed a mental rotation task while being scanned. There were no significant differences in the number of mistakes between schizophrenia groups, and both made more mistakes on the mental rotation task than HC. Relative to HC, SCZ had increased activations in the left thalamus, while DD patients had increased activations in the right supramarginal gyrus. In both cases, hyper-activations are likely to reflect compensatory efforts. In addition, SCZ patients had decreased activations in the left superior parietal gyrus compared to both HC and DD patients. This latter result tentatively suggests that the neurophysiologic processes underlying visuospatial abilities are partially preserved in DD, relative to SCZ patients, consistently with the findings showing that cannabis abuse in schizophrenia is associated with better cognitive functioning. Further fMRI studies are required to examine the neural correlates of other cognitive dysfunctions in schizophrenia patients with and without comorbid cannabis use disorder.
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