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Abnormal intrinsic brain functional network dynamics in first-episode drug-naïve adolescent major depressive disorder

Published online by Cambridge University Press:  04 January 2024

Baolin Wu ,
Xipeng Long ,
Yuan Cao ,
Hongsheng Xie ,
Xiuli Wang ,
Neil Roberts ,
Qiyong Gong  and
Zhiyun Jia Open the ORCID record for Zhiyun Jia [Opens in a new window]
Baolin Wu
Affiliation:
Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
Xipeng Long
Affiliation:
Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
Yuan Cao
Affiliation:
Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
Hongsheng Xie
Affiliation:
Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
Xiuli Wang
Affiliation:
Department of Clinical Psychology, The Fourth People's Hospital of Chengdu, Chengdu, China
Neil Roberts
Affiliation:
The Queens Medical Research Institute (QMRI), School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
Qiyong Gong*
Affiliation:
Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, China
Zhiyun Jia*
Affiliation:
Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
*
Corresponding authors: Qiyong Gong; Email: qiyonggong@hmrrc.org.cn; Zhiyun Jia; Email: zhiyunjia@hotmail.com
Corresponding authors: Qiyong Gong; Email: qiyonggong@hmrrc.org.cn; Zhiyun Jia; Email: zhiyunjia@hotmail.com
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Abstract

Background

Alterations in brain functional connectivity (FC) have been frequently reported in adolescent major depressive disorder (MDD). However, there are few studies of dynamic FC analysis, which can provide information about fluctuations in neural activity related to cognition and behavior. The goal of the present study was therefore to investigate the dynamic aspects of FC in adolescent MDD patients.

Methods

Resting-state functional magnetic resonance imaging data were acquired from 94 adolescents with MDD and 78 healthy controls. Independent component analysis, a sliding-window approach, and graph-theory methods were used to investigate the potential differences in dynamic FC properties between the adolescent MDD patients and controls.

Results

Three main FC states were identified, State 1 which was predominant, and State 2 and State 3 which occurred less frequently. Adolescent MDD patients spent significantly more time in the weakly-connected and relatively highly-modularized State 1, spent significantly less time in the strongly-connected and low-modularized State 2, and had significantly higher variability of both global and local efficiency, compared to the controls. Classification of patients with adolescent MDD was most readily performed based on State 1 which exhibited disrupted intra- and inter-network FC involving multiple functional networks.

Conclusions

Our study suggests local segregation and global integration impairments and segregation-integration imbalance of functional networks in adolescent MDD patients from the perspectives of dynamic FC. These findings may provide new insights into the neurobiology of adolescent MDD.

Keywords

dynamic functional connectivityfunctional magnetic resonance imaginggraph theorymajor depressive disordernetworks

Information

Type
Original Article
Information
Psychological Medicine , Volume 54 , Issue 8 , June 2024 , pp. 1758 - 1767
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Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

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