Diagnosis support of major depressive disorder using event-related potentials during affective priming tasks.

Autor: Umezaki FBH; Engineering, Modeling and Applied Social Sciences Center, Federal University of ABC, Santo André, Brazil., Sousa YP; Engineering, Modeling and Applied Social Sciences Center, Federal University of ABC, Santo André, Brazil., Pereira TD; Center for Mathematics, Computation and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil., Fraga FJ; Engineering, Modeling and Applied Social Sciences Center, Federal University of ABC, Santo André, Brazil. Electronic address: francisco.fraga@ufabc.edu.br.
Jazyk: angličtina
Zdroj: Psychiatry research. Neuroimaging [Psychiatry Res Neuroimaging] 2024 Jul; Vol. 341, pp. 111827. Date of Electronic Publication: 2024 May 12.
DOI: 10.1016/j.pscychresns.2024.111827
Abstrakt: Major Depressive Disorder (MDD) is a global problem. Currently, the most common diagnosis is based on criteria susceptible to the subjectivity of the patient and the clinician. A possible solution to this problem is to look for diagnostic biomarkers that can accurately and early detect this mental condition. Some researchers have focused on electroencephalogram (EEG) analysis to identify biomarkers. In this study we used a dataset composed of EEG recordings from 24 subjects with MDD and 29 healthy controls (HC), during the execution of affective priming tasks with three different emotional stimuli (images): fear, sadness, and happiness. We investigated abnormalities in depressed patients using a novel technique, by directly comparing Event-Related Potential (ERP) waveforms to find statistically significant differences between the MMD and HC groups. Compared to the control group (healthy subjects), we found out that for the emotions fear and happiness there is a decrease in cortical activity at temporal regions in MDD patients. Just the opposite, for the emotion sadness, an increase in MDD brain activity occurs in frontal and occipital regions. Our findings suggest that emotions regulate the attentional control of cognitive processing and are promising for clinical application in diagnosing patients with MDD more objectively.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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