Examine the mechanism underlying brain stimulation in an effort to treat neurological and psychiatric diseases
With the continual advancement of brain stimulation technology, there is a need to refine these approaches to generate the most focused and durable effects. I hope to develop a set of quantifiable brain network measures that will complement clinical measures, allowing 1) the individualization and optimization of treatment protocols and 2) the ability to monitor the progression of brain stimulation interventions. During my PhD, I developed a set of network-level analytic tools which included resting functional connectivity and stimulation-induced evoked potentials. I am applying these network-level measures to generate a set of automated electrophysiological and behavioral measures that quantify local as well as distributed network changes. By measuring the change in behavior, brain excitability, and functional connectivity in scalp and intracranial EEG and functional MRI, I plan to examine the effect of stimulation parameters on the strength and duration of modulatory effect on neuronal networks. This work should help us better understand the short- and long-term effects of non-invasive brain stimulation and allow us to critically review and optimize current treatment protocols.