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EEG and QEEG biomarkers as predictors of antidepressant treatment response

Monika Radziszewska1, Jakub Kaźmierski2, Tomasz Sobów3

Affiliacja i adres do korespondencji
Psychiatr Psychol Klin 2015, 15 (1), p. 19–25
DOI: 10.15557/PiPK.2015.0003
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Streszczenie

The aim of this paper is to present current research on the role of EEG and QEEG (quantitative electroencephalogram) prognostic indicators in the prediction of antidepressant treatment outcomes. Depression is currently one of the most common psychiatric disorders with a lifetime prevalence of 7–25%. The choice of antidepressant is still based on a trial-and-error procedure, which is often unsuccessful. Therefore, further research is necessary to establish objective biomarkers and their combination in order to proceed to a faster and more efficacious treatment of depression. In quantitative EEG (QEEG) research, various pretreatment differences in QEEG measures have been reported to be associated with improved antidepressant treatment outcomes. In particular, the following correlations seem to be clinically significant: lower pretreatment theta power, decreased theta cordance 48 h to 2 weeks after start of medication, greater alpha power, increased theta in the rostral anterior cingulate, higher alpha power over the right hemisphere. In contrast increased theta and delta power have been associated with poor treatment response.

Słowa kluczowe
quantitative EEG, EEG, depression, predictors of treatment outcome, alpha asymmetry