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

作　　者：Peng WANG Yanling BAI Yang XIAO Yuhong ZHENG Li SUN The DIRECT Consortium Jinhui WANG Shaowei XUE 

机构地区：[1]Center for Cognition and Brain Disorders/Department of Neurology,The Affiliated Hospital of Hangzhou Normal University,Hangzhou 311121,China [2]Institute of Psychological Science,Hangzhou Normal University,Hangzhou 311121,China [3]Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments,Hangzhou 311121,China [4]Jing Hengyi School of Education,Hangzhou Normal University,Hangzhou 311121,China [5]Institute of Mental Health,Peking University Sixth Hospital,Peking University,Beijing 100191,China [6]不详 [7]Institute for Brain Research and Rehabilitation,South China Normal University,Guangzhou 510631,China

出　　处：《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》2025年第1期39-51,共13页浙江大学学报(英文版)B辑(生物医学与生物技术)

基　　金：supported by the Zhejiang Medical and Health Science and Technology Project(No.2022KY1055);the Zhejiang Provincial Natural Science Foundation of China(No.LY17H180007);the Key Clinical Specialty Construction Project of Zhejiang Province;the Key Medical Disciplines of Hangzhou,China.

摘　　要：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(HCs)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 HCs.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 HCs.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.

关 键 词：Major depressive disorder(MDD) Magnetic resonance imaging(MRI) White matter Brain network 

分 类 号：R74[医药卫生—神经病学与精神病学]