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Comparative analysis of resting-state EEG functional connectivity in depression and obsessive-compulsive disorder.

Authors :
Mitiureva D
Sysoeva O
Proshina E
Portnova G
Khayrullina G
Martynova O
Source :
Psychiatry research. Neuroimaging [Psychiatry Res Neuroimaging] 2024 Aug; Vol. 342, pp. 111828. Date of Electronic Publication: 2024 May 22.
Publication Year :
2024

Abstract

Major depressive disorder (MDD) and obsessive-compulsive disorder (OCD) are psychiatric disorders that often co-occur. We aimed to investigate whether their high comorbidity could be traced not only by clinical manifestations, but also at the level of functional brain activity. In this paper, we examined the differences in functional connectivity (FC) at the whole-brain level and within the default mode network (DMN). Resting-state EEG was obtained from 43 controls, 26 OCD patients, and 34 MDD patients. FC was analyzed between 68 cortical sources, and between-group differences in the 4-30 Hz range were assessed via the Network Based Statistic method. The strength of DMN intra-connectivity was compared between groups in the theta, alpha and beta frequency bands. A cluster of 67 connections distinguished the OCD, MDD and control groups. The majority of the connections, 8 of which correlated with depressive symptom severity, were found to be weaker in the clinical groups. Only 3 connections differed between the clinical groups, and one of them correlated with OCD severity. The DMN strength was reduced in the clinical groups in the alpha and beta bands. It can be concluded that the high comorbidity of OCD and MDD can be traced at the level of FC.<br />Competing Interests: Declaration of competing interest None of the authors have potential conflicts of interest to be disclosed.<br /> (Copyright © 2024 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-7506
Volume :
342
Database :
MEDLINE
Journal :
Psychiatry research. Neuroimaging
Publication Type :
Academic Journal
Accession number :
38833944
Full Text :
https://doi.org/10.1016/j.pscychresns.2024.111828