Neural signatures of default mode network in major depression disorder after electroconvulsive therapy

Author:

Li Yuanyuan123,Yu Xiaohui12,Ma Yingzi12,Su Jing12,Li Yue3,Zhu Shunli3,Bai Tongjian4,Wei Qiang4,Becker Benjamin3,Ding Zhiyong5,Wang Kai46789,Tian Yanghua410678911,Wang Jiaojian1212ORCID

Affiliation:

1. State Key Laboratory of Primate Biomedical Research , Institute of Primate Translational Medicine, , Kunming 650500 , China

2. Kunming University of Science and Technology , Institute of Primate Translational Medicine, , Kunming 650500 , China

3. School of Life Science and Technology, University of Electronic Science and Technology of China , Chengdu 625014 , China

4. Department of Neurology, The First Hospital of Anhui Medical University , Hefei 230022 , China

5. Medical Imaging Department, Maternal and Child Health-care Hospital of Qujing , Qujing 655000 , China

6. Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders , Hefei 230022 , China

7. Anhui Medical University, School of Mental Health and Psychological Sciences , Hefei 230022 , China

8. Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health , Hefei 230022 , China

9. Anhui Province Clinical Research Center for Neurological Disease , Hefei 230022 , China

10. Institute of Artificial Intelligence, Hefei Comprehensive National Science Center , Hefei 230088 , China

11. Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University , Hefei 230601 , China

12. Yunnan Key Laboratory of Primate Biomedical Research , Kunming, Yunnan 650500 , China

Abstract

Abstract Functional abnormalities of default mode network (DMN) have been well documented in major depressive disorder (MDD). However, the association of DMN functional reorganization with antidepressant treatment and gene expression is unclear. Moreover, whether the functional interactions of DMN could predict treatment efficacy is also unknown. Here, we investigated the link of treatment response with functional alterations of DMN and gene expression with a comparably large sample including 46 individuals with MDD before and after electroconvulsive therapy (ECT) and 46 age- and sex-matched healthy controls. Static and dynamic functional connectivity (dFC) analyses showed increased intrinsic/static but decreased dynamic functional couplings of inter- and intra-subsystems and between nodes of DMN. The changes of static functional connections of DMN were spatially correlated with brain gene expression profiles. Moreover, static and dFC of the DMN before treatment as features could predict depressive symptom improvement following ECT. Taken together, these results shed light on the underlying neural and genetic basis of antidepressant effect of ECT and the intrinsic functional connectivity of DMN have the potential to serve as prognostic biomarkers to guide accurate personalized treatment.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Yunnan Province

Anhui Provincial Science Fund for Distinguished Young Scholars

Sichuan Science and Technology Program

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

Reference93 articles.

1. Tracking whole-brain connectivity dynamics in the resting state;Allen;Cereb Cortex,2014

2. The role of the parahippocampal cortex in cognition;Aminoff;Trends Cogn Sci,2013

3. Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder;Anderson;Proc Natl Acad Sci U S A,2020

4. The brain’s default network and its adaptive role in internal mentation;Andrews-Hanna;Neuroscientist,2011

5. Functional-anatomic fractionation of the brain's default network;Andrews-Hanna;Neuron,2010

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