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Journal of Zhejiang University SCIENCE B 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/jzus.B2300880


Aberrant network topological structure of sensorimotor superficial white-matter system in major depressive disorder


Author(s):  Peng WANG, Yanling BAI, Yang XIAO, Yuhong ZHENG, Li SUN, the DIRECT Consortium, Jinhui WANG, Shao-Wei XUE

Affiliation(s):  Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 311121, China; more

Corresponding email(s):   xuedrm@126.com

Key Words:  Major depressive disorder, Magnetic resonance imaging, White matter, Brain networks


Peng WANG, Yanling BAI, Yang XIAO, Yuhong ZHENG, Li SUN, the DIRECT Consortium, Jinhui WANG, Shao-Wei XUE. Aberrant network topological structure of sensorimotor superficial white-matter system in major depressive disorder[J]. Journal of Zhejiang University Science B, 1998, -1(-1): .

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author="Peng WANG, Yanling BAI, Yang XIAO, Yuhong ZHENG, Li SUN, the DIRECT Consortium, Jinhui WANG, Shao-Wei XUE",
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publisher="Zhejiang University Press & Springer",
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%T Aberrant network topological structure of sensorimotor superficial white-matter system in major depressive disorder
%A Peng WANG
%A Yanling BAI
%A Yang XIAO
%A Yuhong ZHENG
%A Li SUN
%A the DIRECT Consortium
%A Jinhui WANG
%A Shao-Wei XUE
%J Journal of Zhejiang University SCIENCE B
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A1 - Li SUN
A1 - the DIRECT Consortium
A1 - Jinhui WANG
A1 - Shao-Wei XUE
J0 - Journal of Zhejiang University Science B
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DOI - 10.1631/jzus.B2300880


Abstract: 
white matter tracts play a pivotal role in transmitting sensory and motor information, facilitating interhemispheric communication and integrating different brain regions. Meanwhile, sensorimotor disturbance is a common symptom in patients with major depressive disorder (MDD). However, the role of aberrant sensorimotor white-matter system in MDD remains largely unknown. Herein, we investigated the topological structure alterations of white-matter morphological brain networks in 233 MDD patients versus 257 matched healthy controls (HC) from the DIRECT consortium. White-matter networks were derived from magnetic resonance imaging (MRI) data by combining voxel-based morphometry (VBM) and three-dimensional discrete wavelet transform (3D-DWT) approaches. Support vector machine (SVM) analysis was performed to discriminate MDD patients from HC. The results indicated that the network topological changes in node degree, node efficiency, and node betweenness were mainly located in the sensorimotor superficial white-matter system in MDD. Using network nodal topological properties as classification features, the SVM model could effectively distinguish MDD patients from HC. These findings provide new evidence to highlight the importance of the sensorimotor system in brain mechanisms underlying MDD from a new perspective of white-matter morphological network.

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