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  • PMID: 25508384 was deleted because it is a duplicate of PMID: 25464753
Zh Vyssh Nerv Deiat Im I P Pavlova. 2013 Nov-Dec;63(6):613-24.

[EEG coherence analysis in depressive disorders and its possible use in clinical practice: a literature review].

[Article in Russian]

Abstract

Recent reviews and meta-analyses of clinical data have revealed that there is a clear need in objective biomarkers of mental disorders and, in particular, of depression. There is a lot of evidence that EEG coherence can be an important marker of depressive disorders, and can predict response to different antidepressants. The most consistent finding is a decrease of frontal interhemispheric EEG coherence which is observed for most disorders related to depression. Methodological issues are discussed with a particular emphasis on use of statistical classifiers and on coupling EEG coherence with other methods of EEG analysis.

PMID:
25464753
[Indexed for MEDLINE]

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