Neuroimaging and Brain Network Analysis
We develop and apply MRI, fMRI, DWI, functional connectivity, effective connectivity, functional laterality, and dynamic brain network methods.
We study brain function and brain networks using neuroimaging, biosignals, stimulation technologies, metabolic and clinical data, and AI-based analysis, with the goal of advancing neural engineering and healthcare applications.
We develop and apply MRI, fMRI, DWI, functional connectivity, effective connectivity, functional laterality, and dynamic brain network methods.
We use neuroimaging, biosignal analysis, stimulation technologies, and neuromodulation approaches to study how brain activity can be measured, modeled, and modulated.
We study autonomic regulation, heart and gut physiology, biosignals, sleep, activity, and practical digital healthcare applications.
We study how obesity, diabetes, and metabolic dysfunction are linked to cognition, behavior, and brain network changes, including responses to metabolic treatment contexts.
We combine neuroimaging, biosignals, metabolic profiles, and clinical measurements to understand physiological links between brain function and body state.
We use AI and data analysis to build digital biomarkers from medical images, physiological signals, and clinical data.