Dimensional Analysis of Atypical Functional Connectivity of Major Depression Disorder and Bipolar Disorder

Author:

Chen Heng123,Lu Fengmei1,Guo Xiaonan45,Pang Yajing67,He Changchun12,Han Shaoqiang8,Duan Xujun12,Chen Huafu12

Affiliation:

1. 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

2. 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

3. School of Medicine, Guizhou University, Guizhou 550025, China

4. School of Information Science and Engineering, Yanshan University, Qinhuangdao 066000, China

5. Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao 066000, China

6. Research Center for Intelligent Science and Engineering Technology of Traditional Chinese Medicine, School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, PR China

7. Henan Key Laboratory of Brain Science and Brain–Computer Interface Technology, School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, PR China

8. Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450001, PR China

Abstract

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.

Funder

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Hebei Province

Guizhou Science and Technology Program

Sichuan Science and Technology Program

the National Natural Science Foundation of China

Key Project of Research and Development of Ministry of Science and Technology

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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