Unbound MEDLINE

Frontal EEG predictors of treatment outcome in major depressive disorder. European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology [Eur Neuropsychopharmacol] Journal article

 
TitleFrontal EEG predictors of treatment outcome in major depressive disorder.
Author(s)Iosifescu DV, Greenwald S, Devlin P, Mischoulon D, Denninger JW, Alpert JE, Fava M 
InstitutionDepression Clinical and Research Program, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, United States.
SourceEur Neuropsychopharmacol 2009 Jun 30.
AbstractOBJECTIVE: To investigate the role of frontal EEG as predictor of clinical response to SSRIs or venlafaxine in major depressive disorder (MDD).
METHOD: 82 subjects (age 35.9+/-13.0; 47.6% female) meeting DSM-IV criteria for MDD entered an 8-week prospective treatment with SSRIs or venlafaxine. At baseline and week 1 we recorded serial, 4-channel EEGs (F7-Fpz, F8-Fpz, A1-Fpz, A2-Fpz). We evaluated prospectively the relative theta power as predictor of treatment outcome. We also developed an Antidepressant Treatment Response (ATR) index using EEG parameters assessed at baseline and week 1.
RESULTS: 45 subjects (54.9%) responded to treatment (HAM-D-17 reduction>/=50%). At baseline, frontal relative theta power (i.e., 4-8Hz power/2-20Hz power) was significantly (p=0.017) lower (21%) in treatment responders than in non-responders (24%). Baseline relative theta power predicted treatment response with 63% accuracy [64% sensitivity, 62% specificity, 66% area under the receiver operator curve (AUROC) (p=0.014)]. Relative theta power at week 1 predicted treatment response with 60% accuracy [62% sensitivity, 57% specificity, 61% AUROC (p=0.089)]. ATR predicted response with 70% accuracy [82% sensitivity, 54% specificity, 72% AUROC (p=0.001)].
CONCLUSION: Using automated analysis of frontal EEG collected during the first week of antidepressant treatment it may be possible to facilitate prediction of SSRI or venlafaxine efficacy in MDD.
LanguageENG
Pub Type(s)JOURNAL ARTICLE
PubMed ID19574030
  
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