title: [EEG coherence analysis in depressive disorders and its possible use in clinical practice: a literature review].
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.
authors.forename: A A
authors.initials: AA
authors.lastname: Varlamov
authors.forename: V B
authors.initials: VB
authors.lastname: Strelets
mesh_terms: D000928:Antidepressive Agents / Q000627:therapeutic use; D015415:Biomarkers; D003866:Depressive Disorder / Q000175:diagnosis* / Q000188:drug therapy* / Q000473:pathology; D004569:Electroencephalography / Q000379:methods*; D006801:Humans
chemical_list: D000928:Antidepressive Agents; D015415:Biomarkers