A network approach to examining injury severity in pediatric TBI
Year: 2017
Type: conference-paper
Study design: Observational Study
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: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: International Mental Health Research Organization, National Institute on Aging, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Brain Injury Research Center
Awards: Reconnection of Neural Networks and Cognitive Recovery after Pediatric TBI, Using glutamatergic pharmacotherapy to optimize TBI recovery, HARDI Mapping of Disease Effects on the Brain, Alzheimer's disease risk analyzed using population imaging genomics, Longitudinal Tracking of Traumatic Brain Injury: Advanced Connectomics, ENIGMA Center for Worldwide Medicine, Imaging & Genomics, Predicting Brain Changes in HIV/AIDS
OpenAlex ID: W2723193004