Citation

Dennis EL, Rashid F, Jahanshad N, Babikian T, Mink R, Babbitt CJ, Johnson J, Giza CC, Asarnow RF, Thompson PM. Proc. IEEE Int. Symp. Biomed. Imaging 2017; 2017: 105-108.

Affiliation

Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and Ophthalmology, USC, Los Angeles, CA.

Copyright

(Copyright © 2017, IEEE)

DOI

10.1109/ISBI.2017.7950479

PMID

29201280

PMCID

PMC5706554

Abstract

Traumatic brain injury (TBI) is the leading cause of death and disability in children, and can lead to long lasting functional impairment. Many factors influence outcome, but imaging studies examining effects of individual variables are limited by sample size. Roughly 20-40% of hospitalized TBI patients experience seizures, but not all of these patients go on to develop a recurrent seizure disorder. Here we examined differences in structural network connectivity in pediatric patients who had sustained a moderate-severe TBI (msTBI). We compared those who experienced early post-traumatic seizures to those who did not; we found network differences months after seizure activity stopped. We also examined correlations between network measures and a common measure of injury severity, the Glasgow Coma Scale (GCS). The global GCS score did not have a detectable relationship to brain integrity, but sub-scores of the GCS (eyes, motor, verbal) were more closely related to imaging measures.

Language: en

Keywords

diffusion MRI; early post-traumatic seizure; graph theory; traumatic brain injury