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Aberrant network topological structure of sensorimotor superficial white-matter system in major depressive disorder
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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): .
@article{title="Aberrant network topological structure of sensorimotor superficial white-matter system in major depressive disorder",
author="Peng WANG, Yanling BAI, Yang XIAO, Yuhong ZHENG, Li SUN, the DIRECT Consortium, Jinhui WANG, Shao-Wei XUE",
journal="Journal of Zhejiang University Science B",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B2300880"
}
%0 Journal Article
%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
%V -1
%N -1
%P
%@ 1673-1581
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B2300880
TY - JOUR
T1 - Aberrant network topological structure of sensorimotor superficial white-matter system in major depressive disorder
A1 - Peng WANG
A1 - Yanling BAI
A1 - Yang XIAO
A1 - Yuhong ZHENG
A1 - Li SUN
A1 - the DIRECT Consortium
A1 - Jinhui WANG
A1 - Shao-Wei XUE
J0 - Journal of Zhejiang University Science B
VL - -1
IS - -1
SP -
EP -
%@ 1673-1581
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
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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