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Special Neuroscience Seminar

Tuesday, April 02, 2019,

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  • Location: Wilson Hall • 111 21St Ave S • Nashville, TN 37240
  • Room: 115

Richard Betzel, PhD

Department of Psychological and Brain Sciences

Indiana University-Bloomington

“Modeling the organization of functional brain networks” Cognitive and mental processes are shaped by networks of functionally and structurally connected brain regions. In this talk, I will present a high-level overview of network neuroscience – the transdisciplinary research area that deals with modeling and analyzing brain networks – and discuss result from two recent studies. In the first study, we challenge the view that functional brain networks are composed of segregated clusters called “communities.” Using a flexible and data-driven approach, we find evidence that brain networks simultaneously exhibit a diverse range of community types, including core-periphery and bipartite structure. Using features derived from these communities, we use machine-learning methods to accurately classify individual’s cognitive state and to predict inter-individual differences in task performance. In the second study, we present a method for constructing whole-brain functional networks from sparse and spatially-variable intracranial EEG (ECOG) recordings. We show that ECOG connectivity exhibits striking similarities to functional networks reconstructed from fMRI BOLD recordings, and that given knowledge of the underlying white-matter network, gene expression profiles, and spatial relationships, we can accurately predict the organization of ECOG connectivity. We extend this predictive modeling framework to the level of individual subjects and find, surprisingly, that the model makes accurate predictions of subject-level connectivity.