Temporal stability and correlation of EEG markers and depression questionnaires scores in healthy people.

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Department of Health Technologies, School of Information Technologies, Tallinn University of Technology, 5 Ehitajate Rd, 19086, Tallinn, Estonia.

Published: December 2023

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Article Abstract

Mental disorders, especially depression, have become a rising problem in modern society. The development of methods and markers for the early detection of mental disorders is an actual problem. Psychological questionnaires are the only tools for evaluating the symptoms of mental disorders in clinical practice today. The electroencephalography (EEG) based non-invasive and cost-effective method seems feasible for the early detection of depression in occupational and family medicine centers and personal monitoring. The reliability of the EEG markers in the early detection of depression assumes their high temporal stability and correlation with the scores of depression questionnaires. The study was been performed on 17 healthy people over three years. Two hypotheses have been evaluated in the current study: first, the temporal stability of EEG markers is close to the stability of the scores of depression questionnaires, and second, EEG markers and depression questionnaires' scores are not correlated in healthy people. The results of the performed study support both hypotheses: the temporal stability of EEG markers is high and close to the stability of depression questionnaires scores and the correlation between the EEG markers and depression questionnaires scores is not detected in healthy people. The results of the current study contribute to the interpretation of results in depression EEG studies and to the feasibility of EEG markers in the detection of depression.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10713782PMC
http://dx.doi.org/10.1038/s41598-023-49237-4DOI Listing

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