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Abstract #3280

Dynamic Temporal Topological Structure of Default Mode Network

Pan Lin1, De Pisapia Nicola2, Jorge Jovicich2

1Institute of Biomedical Engineering,Xi'an Jiaotong University, xi'an, shaanxi, China; 2Center for Mind/Brain Sciences, University of Trento, Trento, Trentino, Italy


Functional connectivity within the default network dynamic changes is associated with internal mental state across rest or task state. Characterization of the dynamic resting sate network organization as a complex network of dynamic temporal evolving networks has received great interest for the study of its neural mechanisms. To better understand temporal dynamic topology structure of DMN, we used weighted complex network and clustering method to investigate default mode network across different brain mental state. Our results suggest the important role of the dynamic temporal-topological structure of DMN link to underling brain adaptive processing function.

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