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2024-01-31 @ 14:00 - 15:00 EST
Please join us on Wednesday, January 31, 2024, 2:00 PM, for the next CIC Imaging Series.
Professor, Department of Radiology at Weill Cornell Medicine
Adjunct Professor, Department of Computational Biology & Statistics and Data Science, Cornell University
Network Control Models of the brain in health, disease, recovery and altered states
Dr. Amy Kuceyeski is currently a Professor of Mathematics and Neuroscience in the Radiology department at Weill Cornell Medicine and Computational Biology department at Cornell University. She obtained her PhD in Applied Mathematics from Case Western Reserve University in 2009 after which she came to WCM and never left. For over a decade, Amy has been interested in understanding how the human brain works in order to better diagnose, prognose and treat neurological disease and injury. Quantitative approaches, including machine learning, applied to data from rapidly evolving neuroimaging techniques, have the potential to enable ground-breaking discoveries about how the brain works. Amy has particular interest in non-invasive brain stimulation and pharmacological interventions, like psychedelics, that may be used to modulate brain activity and promote recovery from disease or injury.
The brain is a networked, complex, dynamic system that can be controlled by endogenous and exogenous sources. Such a system can be modeled using Network Control Theory. Recent studies have employed this modeling approach to understand how brain activity dynamics shift in disease and recovery, how they are related to cognitive function, and how they are changed with pharmacological interventions like psychedelics. This talk will provide an overview of NCT and its recent applications to understanding the human brain.
How to attend:
- In person at the Bowerman Room
- Register for a Zoom link here