Distribution of tract deficits in schizophrenia

BMC Psychiatry

Research Article

Cathy Scanlon¹  Natalie J Forde¹  Dara M Cannon¹  Colm McDonald¹  Ian Ellison-Wright²  Ulrich Müller³  Edward T Bullmore⁴  Pradeep J Nathan⁵  Robert B Dudas⁶  Emilio Fernandez-Egea⁷  Mark Agius⁸  Rashid Zaman⁸  Chris M Dodds⁹  Alexander Leemans^1,10 

[1] 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, Ireland;Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, CB2 0SZ, Cambridge, UK;Avon and Wiltshire Mental Health Partnership NHS Trust, Heathwood, Fountain Way, SP2 7FD, Salisbury, UK;Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, CB2 0SZ, Cambridge, UK;Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) Elizabeth House, Fulbourn Hospital, CB21 5EF, Fulbourn, Cambridge, UK;Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, CB2 0SZ, Cambridge, UK;GlaxoSmithKline, Clinical Unit Cambridge (CUC), Addenbrooke’s Centre for Clinical Investigation (ACCI), Addenbrooke’s Hospital, PO Box 128, Hills Road, CB2 0GG, Cambridge, UK;Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, CB2 0SZ, Cambridge, UK;School of Psychology and Psychiatry, Monash University, Building 17, Clayton Campus, Wellington Road, 3800, Clayton, VIC, Australia;New Medicines, UCB Pharma, Chemin du Foriest B-1420, Braine-l'Alleud, Belgium;Department of Psychiatry, University of Cambridge School of Clinical Medicine, Box 189, Cambridge Biomedical Campus, CB2 2QQ, Cambridge, UK;Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) Elizabeth House, Fulbourn Hospital, CB21 5EF, Fulbourn, Cambridge, UK;Department of Psychiatry, University of Cambridge School of Clinical Medicine, Box 189, Cambridge Biomedical Campus, CB2 2QQ, Cambridge, UK;Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) Elizabeth House, Fulbourn Hospital, CB21 5EF, Fulbourn, Cambridge, UK;Behavioural Clinical Neuroscience Institute (BCNI), University of Cambridge School of Clinical Medicine, Box 189, Cambridge Biomedical Campus, CB2 2QQ, Cambridge, UK;Department of Psychiatry, University of Cambridge School of Clinical Medicine, Box 189, Cambridge Biomedical Campus, CB2 2QQ, Cambridge, UK;South Essex Partnership University NHS Foundation Trust (SEPT), The Lodge, The Chase, Wickford, SS11 7XX, Essex, United Kingdom;GlaxoSmithKline, Clinical Unit Cambridge (CUC), Addenbrooke’s Centre for Clinical Investigation (ACCI), Addenbrooke’s Hospital, PO Box 128, Hills Road, CB2 0GG, Cambridge, UK;Image Sciences Institute, University Medical Center Utrecht, P.O. Box 85500, Q.S.459, 3508 GA, Utrecht, The Netherlands;

关键词: Schizophrenia;    Diffusion tensor imaging;    Tract based spatial statistics;    Voxel based morphometry;    Gray matter;    White matter;   

DOI  :  10.1186/1471-244X-14-99

 received in 2013-11-07, accepted in 2014-03-19,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundGray 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.Methods21 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.ResultsNo 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).ConclusionsIn 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.

【 授权许可】

CC BY   
© Ellison-Wright et al.; licensee BioMed Central Ltd. 2014