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Abstract #4130

Evaluating the Variability of Local and Distant Functional Connectivity Fluctuation in Task-free Human Brains

Hui Shen 1,2 , Longchuan Li 1,3 , Kaiming Li 1 , Bing Ji 1 , and Xiaoping Hu 1

1 Department of Biomedical Engineering, Biomedical Imaging Technology Center, Emory University, Atlanta, GA, United States, 2 College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, China, 3 Marcus Autism Center, Childrens Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA, United States

The aim of this work is to characterize oscillation variability in dynamic local and distant task-free functional connectivity with a sliding windows approach. Compared with local connectivity, distant connectivity exhibited significantly more intensive fluctuation, suggesting task-free functional connectivity dynamics may be mainly accounted for by long-distance functional interaction across distributed regions. Furthermore, the most stable and most instable areas were localized at the sensorimotor cortices and the default mode network (DMN) extending to the adjacent frontoparietal network, respectively. These findings shed new light on cortical organization in dynamic functional connectivity, and also highlight the importance of long-range dynamic functional interaction.

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