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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