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Dimensional Analysis of Atypical Functional Connectivity of Major Depression Disorder and Bipolar Disorder.
Chen, Heng; Lu, Fengmei; Guo, Xiaonan; Pang, Yajing; He, Changchun; Han, Shaoqiang; Duan, Xujun; Chen, Huafu.
  • Chen H; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China.
  • Lu F; School of Life Science and Technology, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, PR China.
  • Guo X; School of Medicine, Guizhou University, Guizhou 550025, China.
  • Pang Y; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, PR China.
  • He C; School of Information Science and Engineering, Yanshan University, Qinhuangdao 066000, China.
  • Han S; Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao 066000, China.
  • Duan X; Research Center for Intelligent Science and Engineering Technology of Traditional Chinese Medicine, School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, PR China.
  • Chen H; Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology, School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, PR China.
Cereb Cortex ; 32(6): 1307-1317, 2022 03 04.
Article en En | MEDLINE | ID: mdl-34416760
ABSTRACT
Literatures have reported considerable heterogeneity with atypical functional connectivity (FC) pattern of psychiatric disorders. However, traditional statistical methods are hard to explore this heterogeneity pattern. We proposed a "brain dimension" method to describe the atypical FC patterns of major depressive disorder and bipolar disorder (BD). The approach was firstly applied to a simulation dataset. It was then utilized to a real resting-state functional magnetic resonance imaging dataset of 47 individuals with major depressive disorder, 32 individuals with BD, and 52 well matched health controls. Our method showed a better ability to extract the FC dimensions than traditional methods. The results of the real dataset revealed atypical FC dimensions for major depressive disorder and BD. Especially, an atypical FC dimension which exhibited decreased FC strength of thalamus and basal ganglia was found with higher severity level of individuals with BD than the ones with major depressive disorder. This study provided a novel "brain dimension" method to view the atypical FC patterns of major depressive disorder and BD and revealed shared and specific atypical FC patterns between major depressive disorder and BD.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastorno Bipolar / Trastorno Depresivo Mayor Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastorno Bipolar / Trastorno Depresivo Mayor Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article