Literature DB >> 17362807

The promise of the quantitative electroencephalogram as a predictor of antidepressant treatment outcomes in major depressive disorder.

Aimee M Hunter1, Ian A Cook, Andrew F Leuchter.   

Abstract

Recent studies have shown overall accuracy rates of 72% and 88% using baseline and/or 1-week change in QEEG biomarkers to predict clinical outcome to treatment with various antidepressant medications. In some cases, findings have been replicated across academic institutions and have been studied in the context of randomized, placebo-controlled trials. Recent EEG findings are corroborated by studies that use techniques with greater spatial resolution (eg, PET, MEG) in localizing brain regions pertinent to clinical response. As such, EEG measurements increasingly are validated by other physiologic measurements that have the ability to assess deeper brain structures. Continued progress along these lines may lead to the realized promise of QEEG biomarkers as predictors of antidepressant treatment outcome in routine clinical practice. In the larger context, use of QEEG technology to predict antidepressant response in major depression may mean that more patients will achieve response and remission with less of the trial-and-error approach that currently accompanies antidepressant treatment.

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Year:  2007        PMID: 17362807     DOI: 10.1016/j.psc.2006.12.002

Source DB:  PubMed          Journal:  Psychiatr Clin North Am        ISSN: 0193-953X


  15 in total

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Authors:  Iris R Bell; Amy Howerter; Nicholas Jackson; Audrey J Brooks; Gary E Schwartz
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3.  The antidepressant treatment response index and treatment outcomes in a placebo-controlled trial of fluoxetine.

Authors:  Aimee M Hunter; Ian A Cook; Scott D Greenwald; Melody L Tran; Kate N Miyamoto; Andrew F Leuchter
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Review 5.  Clinical trial design in non-invasive brain stimulation psychiatric research.

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7.  Antidepressant response trajectories and quantitative electroencephalography (QEEG) biomarkers in major depressive disorder.

Authors:  Aimee M Hunter; Bengt O Muthén; Ian A Cook; Andrew F Leuchter
Journal:  J Psychiatr Res       Date:  2009-07-24       Impact factor: 4.791

Review 8.  The clinical use of quantitative EEG in cognitive disorders.

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Authors:  Karen Kelly; Michael Posternak; Jonathan E Alpert
Journal:  Dialogues Clin Neurosci       Date:  2008       Impact factor: 5.986

Review 10.  Predictors, moderators, and mediators (correlates) of treatment outcome in major depressive disorder.

Authors:  George I Papakostas; Maurizio Fava
Journal:  Dialogues Clin Neurosci       Date:  2008       Impact factor: 5.986

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