Shared and distinct patterns of dynamic functional connectivity variability of thalamo-cortical circuit in bipolar depression and major depressive disorder

Author:

Lu Fengmei1,Chen Yanchi2,Cui Qian3,Guo Yuanhong1,Pang Yajing4,Luo Wei1,Yu Yue1,Chen Jiajia1,Gao Jingjing5,Sheng Wei1,Tang Qin1,Zeng Yuhong1,Jiang Kexing1,Gao Qing16ORCID,He Zongling1,Chen Huafu17ORCID

Affiliation:

1. The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China , Chengdu, Yingmenkou Road, Jinniu District, 611731, PR China

2. Glasgow College, University of Electronic Science and Technology of China , Chengdu, No. 2006, Xiyuan Ave, West Hi-Tech Zone, 611731, PR China

3. School of Public Affairs and Administration, University of Electronic Science and Technology of China , Chengdu, No. 2006, Xiyuan Ave, West Hi-Tech Zone, 611731, PR China

4. School of Electrical Engineering, Zhengzhou University , Zhengzhou, No. 100 Science Avenue, High-tech Zone, 450001, PR China

5. School of Information and Communication Engineering, University of Electronic Science and Technology of China , Chengdu, No. 2006, Xiyuan Ave, West Hi-Tech Zone, 611731 , China

6. School of Mathematical Sciences, University of Electronic Science and Technology of China , Chengdu, No. 2006, Xiyuan Ave, West Hi-Tech Zone, 611731, PR China

7. MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China , Chengdu, No. 2006, Xiyuan Ave, West Hi-Tech Zone, 611731, PR China

Abstract

Abstract Evidence has indicated abnormalities of thalamo-cortical functional connectivity (FC) in bipolar disorder during a depressive episode (BDD) and major depressive disorder (MDD). However, the dynamic FC (dFC) within this system is poorly understood. We explored the thalamo-cortical dFC pattern by dividing thalamus into 16 subregions and combining with a sliding-window approach. Correlation analysis was performed between altered dFC variability and clinical data. Classification analysis with a linear support vector machine model was conducted. Compared with healthy controls (HCs), both patients revealed increased dFC variability between thalamus subregions with hippocampus (HIP), angular gyrus and caudate, and only BDD showed increased dFC variability of the thalamus with superior frontal gyrus (SFG), HIP, insula, middle cingulate gyrus, and postcentral gyrus. Compared with MDD and HCs, only BDD exhibited enhanced dFC variability of the thalamus with SFG and superior temporal gyrus. Furthermore, the number of depressive episodes in MDD was significantly positively associated with altered dFC variability. Finally, the disrupted dFC variability could distinguish BDD from MDD with 83.44% classification accuracy. BDD and MDD shared common disrupted dFC variability in the thalamo-limbic and striatal-thalamic circuitries, whereas BDD exhibited more extensive and broader aberrant dFC variability, which may facilitate distinguish between these 2 mood disorders.

Funder

Medical Science and Technology Project of Sichuan Provincial Health Commission

Key Scientific Research Program of the Higher Education Institutions of Henan Province

Key Technologies Research and Development Program of Henan Province

Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine

Medico-Engineering Cooperation Funds from University of Electronic Science and Technology of China

Sichuan Science and Technology Program

Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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