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Local dynamic spontaneous brain activity changes in first-episode, treatment-naïve patients with major depressive disorder and their associated gene expression profiles

Published online by Cambridge University Press:  30 October 2020

Kaizhong Xue Open the ORCID record for Kaizhong Xue [Opens in a new window] ,
Sixiang Liang ,
Bingbing Yang ,
Dan Zhu ,
Yingying Xie ,
Wen Qin ,
Feng Liu ,
Yong Zhang  and
Chunshui Yu
Kaizhong Xue
Affiliation:
Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
Sixiang Liang
Affiliation:
Tianjin Anding Hospital, Tianjin 300222, China The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100088, China
Bingbing Yang
Affiliation:
Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
Dan Zhu
Affiliation:
Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
Yingying Xie
Affiliation:
Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
Wen Qin
Affiliation:
Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
Feng Liu*
Affiliation:
Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
Yong Zhang*
Affiliation:
Tianjin Anding Hospital, Tianjin 300222, China
Chunshui Yu*
Affiliation:
Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
*
Author for correspondence: Feng Liu, E-mail: fengliu@tijmu.edu.cn; Yong Zhang, E-mail: zhangyong@tjmhc.com; Chunshui Yu, E-mail: chunshuiyu@tijmu.edu.cn
Author for correspondence: Feng Liu, E-mail: fengliu@tijmu.edu.cn; Yong Zhang, E-mail: zhangyong@tjmhc.com; Chunshui Yu, E-mail: chunshuiyu@tijmu.edu.cn
Author for correspondence: Feng Liu, E-mail: fengliu@tijmu.edu.cn; Yong Zhang, E-mail: zhangyong@tjmhc.com; Chunshui Yu, E-mail: chunshuiyu@tijmu.edu.cn
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Abstract

Background

Major depressive disorder (MDD) is a common debilitating disorder characterized by impaired spontaneous brain activity, yet little is known about its alterations in dynamic properties and the molecular mechanisms associated with these changes.

Methods

Based on the resting-state functional MRI data of 65 first-episode, treatment-naïve patients with MDD and 66 healthy controls, we compared dynamic regional homogeneity (dReHo) of spontaneous brain activity between the two groups, and we investigated gene expression profiles associated with dReHo alterations in MDD by leveraging transcriptional data from the Allen Human Brain Atlas and weighted gene co-expression network analysis.

Results

Compared with healthy controls, patients with MDD consistently showed reduced dReHo in both fusiform gyri and in the right temporal pole and hippocampus. The expression profiles of 16 gene modules were correlated with dReHo alterations in MDD. These gene modules were enriched for various biological process terms, including immune, synaptic signalling, ion channels, mitochondrial function and protein metabolism, and were preferentially expressed in different cell types.

Conclusions

Patients with MDD have reduced dReHo in brain areas associated with emotional and cognitive regulation, and these changes may be related to complex polygenetic and polypathway mechanisms.

Keywords

Dynamic regional homogeneitygene expressionimaging geneticsmajor depressive disorderweighted gene co-expression network analysis
Type
Original Article
Information
Psychological Medicine , Volume 52 , Issue 11 , August 2022 , pp. 2052 - 2061
Copyright
Copyright © The Author(s) 2020. Published by Cambridge University Press

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Footnotes

*

These authors contributed equally to this work.

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