Perturbation聽and聽Control聽of Human Brain Network Dynamics
The human brain is a complex organ characterized by heterogeneous patterns of interconnections. New non-invasive imaging techniques now allow for these patterns to be carefully and comprehensively mapped in individual humans, paving the way for a better understanding of how wiring supports our thought processes. While a large body of work now focuses on descriptive statistics to characterize these wiring patterns, a critical open question lies in how the organization of these networks constrains the potential repertoire of brain dynamics. In this talk, I will describe an approach for understanding how聽perturbations聽to brain dynamics propagate through complex writing patterns, driving the brain into new states of activity. Drawing on a range of disciplinary tools 鈥� from graph theory to network聽control聽theory and optimization 鈥� I will identify聽controlpoints in brain networks, characterize trajectories of brain activity states following聽perturbation聽to those points, and propose a mechanism for how network聽control聽evolves in our brains as we grow from children into adults. Finally, I will describe how these computational tools and approaches can be used to better understand how the brain聽controls聽its own dynamics (and we in turn聽control聽our own behavior), but also how we can inform stimulation devices to聽control聽abnormal brain dynamics, for example in patients with severe epilepsy.
Professor Danielle Bassett
Danielle Bassett is a physicist and systems neuroscientist who was the youngest individual to be awarded a 2014 MacArthur fellowship. She was also awarded a 2014 Sloan fellowship. Bassett is the Skirkanich Associate Professor of Innovation at the University of Pennsylvania, where she applies network science to the study of learning in the human brain in addition to the study of other complex physical and biological systems. She received a B.S. in physics from Pennsylvania State University in 2004, and her Ph.D in physics from the University of Cambridge in 2009.
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