EEG|fMRI|Genetics|Machine Learning

Recent Updates

(Date: Spring, 2017)
My doctoral dissertation focused on how bupropion affects a task-related depressive EEG pattern in smokers, as part of a parent R01 study funded by National Institute on Drug Abuse. Study findings suggest that the employed EEG measure is a sensitive and effective predictor of the beneficial effects of bupropion. The discovery could help advance personalized and efficacious treatments for depressive disorders and smoking abstinence. This work has been published on Experimental and Clinical Psychopharmacology.