Frontiers in Aging Neuroscience | |
Age-Related Decrease in Default-Mode Network Functional Connectivity Is Accelerated in Patients With Major Depressive Disorder | |
Neuroscience | |
Hengyi Cao1  Shixiong Tang2  Zhipeng Wu3  Guowei Wu3  Yicheng Long3  Zhening Liu3  Dayi Liu3  Xudong Chen3  Jie Yang3  Wenjian Tan3  | |
[1] Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, United States;Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, United States;Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China;Clinical Research Center for Medical Imaging in Hunan Province, Changsha, China;National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China; | |
关键词: major depressive disorder; aging; fMRI; functional connectivity; dynamic functional connectivity (dFC); dynamic brain network; | |
DOI : 10.3389/fnagi.2021.809853 | |
received in 2021-11-05, accepted in 2021-12-20, 发布年份 2022 | |
来源: Frontiers | |
【 摘 要 】
Major depressive disorder (MDD) is a common psychiatric disorder which is associated with an accelerated biological aging. However, little is known whether such process would be reflected by a more rapid aging of the brain function. In this study, we tested the hypothesis that MDD would be characterized by accelerated aging of the brain’s default-mode network (DMN) functions. Resting-state functional magnetic resonance imaging data of 971 MDD patients and 902 healthy controls (HCs) was analyzed, which was drawn from a publicly accessible, multicenter dataset in China. Strength of functional connectivity (FC) and temporal variability of dynamic functional connectivity (dFC) within the DMN were calculated. Age-related effects on FC/dFC were estimated by linear regression models with age, diagnosis, and diagnosis-by-age interaction as variables of interest, controlling for sex, education, site, and head motion effects. The regression models revealed (1) a significant main effect of age in the predictions of both FC strength and dFC variability; and (2) a significant main effect of diagnosis and a significant diagnosis-by-age interaction in the prediction of FC strength, which was driven by stronger negative correlation between age and FC strength in MDD patients. Our results suggest that (1) both healthy participants and MDD patients experience decrease in DMN FC strength and increase in DMN dFC variability along age; and (2) age-related decrease in DMN FC strength may occur at a faster rate in MDD patients than in HCs. However, further longitudinal studies are still needed to understand the causation between MDD and accelerated aging of brain.
【 授权许可】
Unknown
Copyright © 2022 Tang, Wu, Cao, Chen, Wu, Tan, Liu, Yang, Long and Liu.
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