The comparative effectiveness of electroencephalographic indices in predicting response to escitalopram therapy in depression: A pilot study Journal Articles uri icon

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  • BACKGROUND: This study aims to compare the effectiveness of EEG frequency band activity including interhemispheric asymmetry and prefrontal theta cordance in predicting response to escitalopram therapy at 8-weeks post-treatment, in a multi-site initiative. METHODS: Resting state 64-channel EEG data were recorded from 44 patients with a diagnosis of major depressive disorder (MDD) as part of a larger, multisite discovery study of biomarkers in antidepressant treatment response, conducted by the Canadian Biomarker Integration Network in Depression (CAN-BIND). Clinical response was measured at 8-weeks post-treatment as change from baseline Montgomery-Asberg Depression Rating Scale (MADRS) score of 50% or more. EEG measures were analyzed at (1) pre-treatment baseline (2) 2 weeks post-treatment and (3) as an ''early change" variable defined as change in EEG from baseline to 2 weeks post-treatment. RESULTS: At baseline, treatment responders showed elevated absolute alpha power in the left hemisphere while non-responders showed the opposite. Responders further exhibited a cortical asymmetry in the parietal region. Groups also differed in pre-treatment relative delta power with responders showing greater power in the right hemisphere over the left while non-responders showed the opposite. At 2 weeks post-treatment, responders exhibited greater absolute beta power in the left hemisphere relative to the right and the opposite was noted for non-responders. A reverse pattern was noted for absolute and relative delta power at 2 weeks post-treatment. Responders exhibited early reductions in relative alpha power and early increments in relative theta power. Non-responders showed a significant early increase in prefrontal theta cordance. CONCLUSIONS: Hemispheric asymmetries in the alpha and delta bands at baseline and at 2 weeks post-treatment have moderately strong predictive utility in predicting response to antidepressant treatment.


  • Baskaran, Anusha
  • Farzan, Faranak
  • Milev, Roumen
  • Brenner, Colleen A
  • Alturi, Sravya
  • Pat McAndrews, Mary
  • Blier, Pierre
  • Evans, Ken
  • Foster, Jane
  • Frey, Benicio
  • Giacobbe, Peter
  • Lam, Raymond W
  • Leri, Francesco
  • MacQueen, Glenda M
  • Müller, Daniel J
  • Parikh, Sagar V
  • Rotzinger, Susan
  • Soares, Claudio N
  • Strother, Steven C
  • Turecki, Gustavo
  • Kennedy, Sidney H

publication date

  • February 2018