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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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