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Abstract #4400

Resting State Dynamic Functional Network Analysis in Mild Traumatic Brain Injury

Wenshuai Hou 1 , Chandler Sours 2 , Joseph JaJa 3 , and Rao Gullapalli 2

1 ECE, University of Maryland, college park, Maryland, United States, 2 Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, MD, United States, 3 ECE, University of Maryland, MD, United States

mTBI is one of the most common neurological disorders. A subset of patients develops persistent cognitive deficits. Recent developments suggest that the dynamics of functional connectivity can reveal insightful information about anomalies in brain activities. Our data-driven approach focuses on the global brain functional network and leads to novel findings regarding the constantly changing neural connectivity. By analyzing the network properties measured after the dynamic sliding window analysis in addition to further differentiation of mTBI subjects based on long term recovery status, group difference (p < 0.05) were found between mTBI patients who fail to recover and healthy control subjects.

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