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Abstract #4178

Local Brain Connectivity Dynamics Using a Graph-Theoretical Approach

Anand Narasimhamurthy 1 , Ashish Anil Rao 1 , Ek Tsoon Tan 2 , Rakesh Mullick 1 , and Suresh Emmanuel Joel 1

1 General Electric Global Research, Bangalore, Karnataka, India, 2 General Electric Global Research, Niskayuna, New York, United States

In this work we investigate the short term dynamics of brain connectivity using a graph theoretic representation. While there are known situations where brain connectivity changes, for instance following a traumatic brain injury; these changes take place over a length of time, brain connectivity could be quite dynamic even in a short time scale. While graph theoretical methods have been extensively used in neuroimaging, the dynamics aspect of brain connectivity is relatively less explored. We report the dynamics at the local level by quantifying changes in the neighborhood connectivity of nodes across time.

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