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Electrophysiological predictors of early response to antidepressants in major depressive disorder.

Authors :
Tang, Hao
Xia, Yi
Hua, Lingling
Dai, Zhongpeng
Wang, Xiaoqin
Yao, ZhiJian
Lu, Qing
Source :
Journal of Affective Disorders. Nov2024, Vol. 365, p509-517. 9p.
Publication Year :
2024

Abstract

Psychomotor retardation (PMR) is a core feature of major depressive disorder (MDD), which is characterized by abnormalities in motor control and cognitive processes. PMR in MDD can predict a poor antidepressant response, suggesting that PMR may serve as a marker of the antidepressant response. However, the neuropathological relationship between treatment outcomes and PMR remains uncertain. Thus, this study examined electrophysiological biomarkers associated with poor antidepressant response in MDD. A total of 142 subjects were enrolled in this study, including 49 healthy controls (HCs) and 93 MDD patients. All participants performed a simple right-hand visuomotor task during magnetoencephalography (MEG) scanning. Patients who exhibited at least a 50 % reduction in disorder severity at the endpoint (>2 weeks) were considered to be responders. Motor-related beta desynchronization (MRBD) and inter- and intra-hemispheric functional connectivity were measured in the bilateral motor network. An increased MRBD and decreased inter- and intra-hemispheric functional connectivity in the motor network during movement were observed in non-responders, relative to responders and HCs. This dysregulation predicted the potential antidepressant response. Abnormal local activity and functional connectivity in the motor network indicate poor psychomotor function, which might cause insensitivity to antidepressant treatment. This could be regarded as a potential neural mechanism for the prediction of a patient's treatment response. • MDD patients with poor antidepressant response have increased MRBD. • MDD patients with poor antidepressant response have decreased inter- and intra-hemispheric functional connectivity in the motor network. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01650327
Volume :
365
Database :
Academic Search Index
Journal :
Journal of Affective Disorders
Publication Type :
Academic Journal
Accession number :
179465936
Full Text :
https://doi.org/10.1016/j.jad.2024.08.118