Our previous research focuses on medicine, brain science, and engineering for developing algorithms related to AI-based disease diagnosis and treatment, prediction of prognosis, and developing digital therapeutics of neuromodulation, using focused ultrasound with mobile healthcare or wearable devices.
We currently conduct large-scale convergence R&D project, integrating AI, brain science, biotechnology, and computing power.
Multimodal neuroimaging-electrophysiology for
brain functional network
Our research on brain connectivity utilizes both human and animal models to further analyze the mechanisms of neural network dysfunction involved in various neurological disorders (e.g., Sleep, Epilepsy, and Brain Aging, etc). Alzheimer’s disease, etc). By using EEG, MRI, and a method of hippocampal segmentation, we are able to quantify volumes of each hippocampal subregions and other parts of the brain.
Big-data based brain aging study
Our research investigates the associations between sleep, brain aging, and cognitive dysfunction, based on multiple biomedical data from hospitals and/or population-based cohort dataset, including clinical features, neuroimaging, genetic, and electrophysiological findings of electroencephalographic and polysomnographic data.
Ongoing research evaluates the impact of sleep habits or lifestyle on brain health, such as cognition, emotion, structural and functional brain changes, and this can be fundamental in preventing brain aging and/or treating various neuropsychiatric disorders, sleep disorders, epilepsy, and neurodegenerative diseases.
Optogenetics and translational animal model
Based on translational animal models, our lab explores the microstructural and functional aspects of brain diseases (e.g., epilepsy, sleep, and brain aging), using computational measures from multiple biosignals, behavioral, immunohistological, and imaging data.
Ongoing research topics include multilevel in-vivo recordings, hippocampal subnetwork analysis involving sleep-cognitive control or seizure-like events, and spatiotemporal dynamic changes after neuromodulation therapy.