Abstract #4179
Behavioral relevance of the temporal dynamics of the functional brain connectome
Hao Jia 1 , Xiaoping Hu 2 , and Gopikrishna Deshpande 1,3
1
MRI Research Center, Department of
Electrical and Computer Engineering, Auburn University,
Auburn, Alabama, United States,
2
Biomedical
Imaging Technology Center, Coulter Department of
Biomedical Engineering, Georgia Institute of Technology
and Emory University, Atlanta, Georgia, United States,
3
Department
of Psychology, Auburn University, Auburn, Alabama,
United States
Dynamic functional connectivity (FC) analysis has
received increasing attention since it is hoped that
dynamics of FC could provide potentially more
information than its static counterpart, benefiting
neuroscientific and clinical research. However, the key
question that is yet to be answered is whether
connectivity dynamics has any behavioral relevance over
and above that obtained from static FC. In this work, we
describe a principled framework for calculating dynamic
FC metrics from the whole brain using data-driven
adaptive windows and evolutionary clustering. In
addition, we demonstrate that dynamic FC explains more
variance in behavior as compared to static FC metrics.
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