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Project Description

Our neurofeedback project teaches participants to self-regulate their brain activity from sad or neutral states to happy states. This involves recording brain activity while participants are in these various moods and teaching a machine learning algorithm to distinguish the moods in real time. The ultimate goals of this study are 1) to validate personalized EEG neurofeedback as a treatment for depression; and 2) to identify brain regions as potential targets for Deep Brain Stimulation, an option for treatment-resistant depression.