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Common and distinct functional brain network abnormalities in adolescent, early-middle adult, and late adult major depressive disorders

Published online by Cambridge University Press:  09 August 2023

Yicheng Long
Affiliation:
Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
Xuemei Li
Affiliation:
Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
Hengyi Cao
Affiliation:
Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
Manqi Zhang
Affiliation:
Center for Studies of Psychological Application, South China Normal University, Guangzhou, China
Bing Lu
Affiliation:
CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
Yang Huang
Affiliation:
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
Mengqi Liu
Affiliation:
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
Ming Xu
Affiliation:
Department of Psychology, University of Chinese Academy of Sciences, Beijing, China Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Zhening Liu
Affiliation:
Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
Chaogan Yan
Affiliation:
CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
Jing Sui*
Affiliation:
IDG/McGovern Institute for Brain Research, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
Xuan Ouyang*
Affiliation:
Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
Xinyu Zhou*
Affiliation:
Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
*
Corresponding authors: Jing Sui; Email: jsui@bnu.edu.cn; Xuan Ouyang; Email: ouyangxuan@csu.edu.cn; Xinyu Zhou; Email: zhouxinyu@cqmu.edu.cn
Corresponding authors: Jing Sui; Email: jsui@bnu.edu.cn; Xuan Ouyang; Email: ouyangxuan@csu.edu.cn; Xinyu Zhou; Email: zhouxinyu@cqmu.edu.cn
Corresponding authors: Jing Sui; Email: jsui@bnu.edu.cn; Xuan Ouyang; Email: ouyangxuan@csu.edu.cn; Xinyu Zhou; Email: zhouxinyu@cqmu.edu.cn

Abstract

Background

The age-related heterogeneity in major depressive disorder (MDD) has received significant attention. However, the neural mechanisms underlying such heterogeneity still need further investigation. This study aimed to explore the common and distinct functional brain abnormalities across different age groups of MDD patients from a large-sample, multicenter analysis.

Methods

The analyzed sample consisted of a total of 1238 individuals including 617 MDD patients (108 adolescents, 12–17 years old; 411 early-middle adults, 18–54 years old; and 98 late adults, > = 55 years old) and 621 demographically matched healthy controls (60 adolescents, 449 early-middle adults, and 112 late adults). MDD-related abnormalities in brain functional connectivity (FC) patterns were investigated in each age group separately and using the whole pooled sample, respectively.

Results

We found shared FC reductions among the sensorimotor, visual, and auditory networks across all three age groups of MDD patients. Furthermore, adolescent patients uniquely exhibited increased sensorimotor-subcortical FC; early-middle adult patients uniquely exhibited decreased visual-subcortical FC; and late adult patients uniquely exhibited wide FC reductions within the subcortical, default-mode, cingulo-opercular, and attention networks. Analysis of covariance models using the whole pooled sample further revealed: (1) significant main effects of age group on FCs within most brain networks, suggesting that they are decreased with aging; and (2) a significant age group × MDD diagnosis interaction on FC within the default-mode network, which may be reflective of an accelerated aging-related decline in default-mode FCs.

Conclusions

To summarize, these findings may deepen our understanding of the age-related biological and clinical heterogeneity in MDD.

Type
Original Article
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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Footnotes

*

These authors contributed equally to this work.

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