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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