White Matter Abnormalities in Major Depression Biotypes Identified by Diffusion Tensor Imaging

【Author】

Sugai Liang;Qiang Wang;Xiangzhen Kong;Wei Deng;Xiao Yang;Xiaojing Li;Zhong Zhang;Jian Zhang;Chengcheng Zhang;Xin-min Li;Xiaohong Ma;Junming Shao;Andrew J.Greenshaw;Tao Li;Mental Health Centre, West China Hospital, Sichuan University;Huaxi Brain Research Centre, West China Hospital, Sichuan University;Language and Genetics Department, Max Planck Institute for Psycholinguistics;Big Data Research Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China;Department of Psychiatry, University of Alberta;

【Institution】

Mental Health Centre, West China Hospital, Sichuan University;Huaxi Brain Research Centre, West China Hospital, Sichuan University;Language and Genetics Department, Max Planck Institute for Psycholinguistics;Big Data Research Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China;Department of Psychiatry, University of Alberta;

【Abstract】

Identifying data-driven biotypes of major depressive disorder(MDD) has promise for the clarification of diagnostic heterogeneity. However, few studies have focused on white-matter abnormalities for MDD subtyping. This study included 116 patients with MDD and118 demographically-matched healthy controls assessed by diffusion tensor imaging and neurocognitive evaluation.Hierarchical clustering was applied to the major fiber tracts, in conjunction with tract-based spatial statistics, to reveal white-matter alterations associated with MDD.Clinical and neurocognitive differences were compared between identified subgroups and healthy controls. With fractional anisotropy extracted from 20 fiber tracts, cluster analysis revealed 3 subgroups based on the patterns of abnormalities. Patients in each subgroup versus healthy controls showed a stepwise pattern of white-matter alterations as follows: subgroup 1(25.9% of patient sample),widespread white-matter disruption; subgroup 2(43.1% of patient sample), intermediate and more localized abnormalities in aspects of the corpus callosum and left cingulate; and subgroup 3(31.0% of patient sample),possible mild alterations, but no statistically significant tract disruption after controlling for family-wise error. The neurocognitive impairment in each subgroup accompanied the white-matter alterations: subgroup 1, deficits in sustained attention and delayed memory; subgroup 2, dysfunction in delayed memory; and subgroup 3, no significant deficits. Three subtypes of white-matter abnormality exist in individuals with major depression, those having widespread abnormalities suffering more neurocognitive impairments, which may provide evidence for parsing the heterogeneity of the disorder and help optimize typespecific treatment approaches.

【Keywords】

Major depressive disorder;;Hierarchal clustering;;Diffusion tensor imaging;;Biotype;;Heterogeneity

References

To explore the background and basis of the node document

Springer Journals Database

Total: 17 articles

  • [1] Ming Song;Zhengyi Yang;Jing Sui;Tianzi Jiang;Brainnetome Center, Institute of Automation, The Chinese Academy of Sciences;National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences;CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences;Queensland Brain Institute, The University of Queensland;Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology,University of Electronic Science and Technology of China;, Biological Subtypes Bridge Diagnoses and Biomarkers: A Novel Research Track for Mental Disorders, Neuroscience Bulletin,
  • [2] Sugai Liang;Roberto Vega;Xiangzhen Kong;Wei Deng;Qiang Wang;Xiaohong Ma;Mingli Li;Xun Hu;Andrew J.Greenshaw;Russell Greiner;Tao Li;Mental Health Centre, West China Hospital, Sichuan University;Huaxi Brain Research Centre, West China Hospital, Sichuan University;Department of Computing Science, University of Alberta;Language and Genetics Department, Max Planck Institute for Psycholinguistics;Huaxi Biobank, West China Hospital, Sichuan University;Department of Psychiatry, University of Alberta;, Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features, Neuroscience Bulletin,
  • [3] Setsu Wakana;;Arvind Caprihan;;Martina M. Panzenboeck;;James H. Fallon;;Michele Perry;;Randy L. Gollub;;Kegang Hua;;Jiangyang Zhang;;Hangyi Jiang;;Prachi Dubey;;Ari Blitz;;Peter van Zijl;;Susumu Mori, Reproducibility of quantitative tractography methods applied to cerebral white matter, Neuroimage,
  • [4] Stephen M. Smith;;Mark Jenkinson;;Heidi Johansen-Berg;;Daniel Rueckert;;Thomas E. Nichols;;Clare E. Mackay;;Kate E. Watkins;;Olga Ciccarelli;;M. Zaheer Cader;;Paul M. Matthews;;Timothy E.J. Behrens, Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data, Neuroimage,

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