Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here