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Molecular basis underlying changes of brain entropy and functional connectivity in major depressive disorders after electroconvulsive therapy.

Authors :
Yu, Xiaohui
Chen, Kexuan
Ma, Yingzi
Bai, Tongjian
Zhu, Shunli
Cai, Defang
Zhang, Xing
Wang, Kai
Tian, Yanghua
Wang, Jiaojian
Source :
CNS Neuroscience & Therapeutics; Mar2024, Vol. 30 Issue 3, p1-12, 12p
Publication Year :
2024

Abstract

Introduction: Electroconvulsive therapy (ECT) is widely used for treatment‐resistant depression. However, it is unclear whether/how ECT can be targeted to affect brain regions and circuits in the brain to dynamically regulate mood and cognition. Methods: This study used brain entropy (BEN) to measure the irregular levels of brain systems in 46 major depressive disorder (MDD) patients before and after ECT treatment. Functional connectivity (FC) was further adopted to reveal changes of functional couplings. Moreover, transcriptomic and neurotransmitter receptor data were used to reveal genetic and molecular basis of the changes of BEN and functional connectivities. Results: Compared to pretreatment, the BEN in the posterior cerebellar lobe (PCL) significantly decreased and FC between the PCL and the right temporal pole (TP) significantly increased in MDD patients after treatment. Moreover, we found that these changes of BEN and FC were closely associated with genes' expression profiles involved in MAPK signaling pathway, GABAergic synapse, and dopaminergic synapse and were significantly correlated with the receptor/transporter density of 5‐HT, norepinephrine, glutamate, etc. Conclusion: These findings suggest that loops in the cerebellum and TP are crucial for ECT regulation of mood and cognition, which provides new evidence for the antidepressant effects of ECT and the potential molecular mechanism leading to cognitive impairment. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17555930
Volume :
30
Issue :
3
Database :
Complementary Index
Journal :
CNS Neuroscience & Therapeutics
Publication Type :
Academic Journal
Accession number :
176335911
Full Text :
https://doi.org/10.1111/cns.14690