Abstract #4403
Identify Potentially Vulnerable Functional Networks to Concussion in Sports: a Resting-State fMRI Longitudinal Study
David C Zhu 1 , Sally Nogle 1 , Scarlett Doyle 1 , Doozie Russell 1 , Tracey Covassin 1 , Randolph L Pearson 1 , J Kevin DeMarco 1 , and David I Kaufman 1
1
Michigan State University, East Lansing,
Michigan, United States
Recently the authors demonstrated a dynamic change of
default-mode network functional connectivity with
resting-state fMRI (rs-fMRI) on Days 1, 7 and 30 after
concussion. In this pilot longitudinal study based on 11
concussion cases, we attempted to systematically isolate
all potentially vulnerable networks among the 17
functional networks segmented by Yeo et al. from 1,000
young adults based on rs-fMRI. With node-based
correlation analyses, we found six networks (DMN A and
C, Salience/Ventral Attention A, Somatomotor B,
Temporal-Parietal and Visual Peripheral) relatively more
prone to the impact of concussion.
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