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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