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CCN Brown Bag Series

Wednesday, October 24, 2018,

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

Mikail Rubinov, PhD

School of Engineering

Vanderbilt University

"Integrative analysis in network neuroscience"

Network neuroscience is a young field that lies at the intersection of neuroscience and network science – some of the most exciting scientific topics today. The field seeks to discover fundamental principles of brain-network architecture and function by analyzing brain-connectivity datasets with network-science models. Such discovery often proceeds through comprehensive reconstruction of accurate and complete brain wiring diagrams and activity maps, reduction of these diagrams and maps to sets of emergent and seemingly adaptive traits, and elucidation of biologically supported mechanisms underlying the organization of such traits.

In this talk I will outline an integrative analysis framework for network neuroscience. I will specifically focus on network-neuroscience analyses based on models constrained on knowledge of evolution, development, architecture and function, and confirmed with systematic model specification and selection methods. I will illustrate how such analyses can unify and simplify the large and growing body of network-neuroscience discoveries into a compact and empirically supported framework, and will emphasize how the combination of existing knowledge about brain-network organization and careful scientific modeling can allow network neuroscientists to make empirically-grounded progress.