One of the goals in our lab is to develop and validate an individualized prognostic model that is selected based on machine learning methods for forecasting the trajectory of high-risk individuals and first-episode psychosis and that were available in clinical routine.
Using sMRI, fMRI, DTI, fNIRS, we examined alterations in structural and functional brain connectivities in psychosis. Based on the neurodevelopment hypothesis, we focus on how brain connectivity changes with stages of the disease and how this brain connectivity is restored through therapeutic intervention.
We are also conducting clinical research to improve brain function by controlling brain circuits without using drugs through brain stimulation techniques such as tDCS, ECT, and DBS. We are interested in examining changes before and after brain stimulation, elucidating the pathophysiology of psychosis, and finding the target of treatment through brain imaging techniques.