Frontal EEG predictors of treatment outcome in major depressive disorder

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• 作者：Dan V. Iosifescu ; Scott Greenwald ; Philip Devlin ; David Mischoulon ; John W. Denninger ; Jonathan E. Alpert ; Maurizio Fava
• 关键词：Major depressive disorder ; Antidepressants ; Treatment response ; Quantitative electroencephalography (QEEG)
• 刊名：European Neuropsychopharmacology
• 出版年：2009
• 出版时间：November 2009
• 年：2009
• 卷：19
• 期：11
• 页码：772-777
• 全文大小：140 K

文摘

Objective

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., 4–8 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)].

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.