CAM Colloquium-- Amy Kuceyeski, Dept. of Radiology, Weill Cornell Medicine/Computational Biology & Statistics and Data Science, Cornell University "Network control theory models of the human brain"
655 Rhodes Hall
Abstract: Network control theory (NCT) models capture the dynamics of systems that can be represented by nodes and edges (i.e. networks) and can be used to quantify movement through its state space. The human brain can be thought of as such a networked system, with the nodes being pre-defined regions in the gray matter and the edges being white matter connections that act as wiring between gray matter regions. Here, we present some novel NCT modeling applications that are able to capture shifting brain dynamics in psychedelics, multiple sclerosis and addiction disorders. Using NCT to model the human brain may take us one step closer toward being able to influence human brain dynamics for promoting recovery from neurological disease.
Bio: Amy Kuceyeski is an adjunct associate professor in the Department of Statistics and Data Science and an associate professor of mathematics in the Radiology Department and Brain and Mind Research Institute at Weill Cornell Medicine. She performs research in quantitative neuroimaging of neurological disorders, including multiple sclerosis, stroke, traumatic brain injury and disorders of consciousness.