The neuroprogressive nature of major depressive disorder: evidence from an intrinsic connectome analysis
Open Access
- 4 February 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Translational Psychiatry
- Vol. 11 (1), 1-11
- https://doi.org/10.1038/s41398-021-01227-8
Abstract
Major depressive disorder (MDD) is a prevailing chronic mental disorder with lifetime recurring episodes. Recurrent depression (RD) has been reported to be associated with greater severity of depression, higher relapse rate and prominent functioning impairments than first-episode depression (FED), suggesting the progressive nature of depression. However, there is still little evidence regarding brain functional connectome. In this study, 95 medication-free MDD patients (35 with FED and 60 with RD) and 111 matched healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (fMRI) scanning. After six months of treatment with paroxetine, 56 patients achieved clinical remission and finished their second scan. Network-based statistics analysis was used to explore the changes in functional connectivity. The results revealed that, compared with HCs, patients with FED exhibited hypoconnectivity in the somatomotor, default mode and dorsal attention networks, and RD exhibited hyperconnectivity in the somatomotor, salience, executive control, default mode and dorsal attention networks, as well as within and between salience and executive control networks. Moreover, the disrupted components in patients with current MDD did not change significantly when the patients achieved remission after treatment, and sub-hyperconnectivity and sub-hypoconnectivity were still found in those with remitted RD. Additionally, the hypoconnectivity in FED and hyperconnectivity in RD were associated with the number of episodes and total illness duration. This study provides initial evidence supporting that impairment of intrinsic functional connectivity across the course of depression is a progressive process.Keywords
Funding Information
- National Natural Science Foundation of China (81171286, 81601180, 61722313)
- National Science and Technologic Program of China
- Fok Ying Tong Education Foundation (161057)
- Science & Technology Innovation Program of Hunan Province
- National key research and development program
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