Literature DB >> 19040551

Prediction of response to antidepressants: is quantitative EEG (QEEG) an alternative?

Dan V Iosifescu.   

Abstract

Selecting the most effective antidepressant for depressed subjects having failed previous treatments is difficult; the rates of success are relatively low. There is a clear need for objective biomarkers which could assist and optimize such treatment selection. We review here the current literature and recent developments on the role of quantitative EEG (QEEG) predictors of treatment outcome in major depressive disorder.

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Year:  2008        PMID: 19040551      PMCID: PMC6494046          DOI: 10.1111/j.1755-5949.2008.00063.x

Source DB:  PubMed          Journal:  CNS Neurosci Ther        ISSN: 1755-5930            Impact factor:   5.243


  3 in total

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Authors:  Thomas C Baghai; Pierre Blier; David S Baldwin; Michael Bauer; Guy M Goodwin; Kostas N Fountoulakis; Siegfried Kasper; Brian E Leonard; Ulrik F Malt; Dan Stein; Marcio Versiani; Hans-Jürgen Möller
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2011-11       Impact factor: 5.270

2.  Identifying phronotypes in psychiatry.

Authors:  F Andrew Kozel
Journal:  Front Psychiatry       Date:  2010-10-20       Impact factor: 4.157

3.  Attenuated alpha-gamma coupling in emotional dual pathways with right-Amygdala predicting ineffective antidepressant response.

Authors:  Zhongpeng Dai; Cong Pei; Siqi Zhang; Shui Tian; Zhilu Chen; Hongliang Zhou; Qing Lu; Zhijian Yao
Journal:  CNS Neurosci Ther       Date:  2021-12-24       Impact factor: 5.243

  3 in total

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