Research

The neural and systemic physiological mechanisms that drive the dynamics of neurofluids in the central nervous system change depending upon the neurobehavioral state. Concurrent imaging of neural activity and physiology together with neurofluid dynamics through multimodal imaging across different behavioral states enables an understanding of optimal brain function specific to each state. Specific interests include natural sleep, differing arousal states of the brain, such as alert wakefulness, resting wakefulness, drowsiness, and distraction.

The development of data-driven computational models and signal processing methods enables a better physiological understanding of specific brain states and further creation and refinement of clinically translatable biomarkers of CNS health. We aim to develop data-driven approaches to extract and quantify brain function across temporal and spatial scales at the individual-subject level.

By advancing multimodal functional imaging and data-driven analysis, the long-term goal is to enable precision diagnostics and monitoring of neurovascular and neurodegenerative disorders through clinically deployable imaging solutions.