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Frontal EEG predictors of treatment outcome in major depressive disorder
Authors:Dan V. Iosifescu   Scott Greenwald   Philip Devlin   David Mischoulon   John W. Denninger   Jonathan E. Alpert  Maurizio Fava
Affiliation:aDepression Clinical and Research Program, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, United States;bAspect Medical Systems, Inc., Norwood, MA, United States
Abstract:ObjectiveTo investigate the role of frontal EEG as predictor of clinical response to SSRIs or venlafaxine in major depressive disorder (MDD).Method82 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.Results45 subjects (54.9%) responded to treatment (HAM-D-17 reduction  50%). At baseline, frontal relative theta power (i.e., 4–8 Hz power/2–20 Hz 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)].ConclusionUsing 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.
Keywords:Major depressive disorder   Antidepressants   Treatment response   Quantitative electroencephalography (QEEG)
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