title: Structural connectivity abnormality in children with acute mild traumatic brain injury using graph theoretical analysis.
abstract: The traumatic biomechanical forces associated with mild traumatic brain injury (mTBI) typically impart diffuse, as opposed to focal, brain injury potentially disrupting the structural connectivity between neural networks. Graph theoretical analysis using diffusion tensor imaging was used to assess injury-related differences in structural connectivity between 23 children (age 11-16 years) with mTBI and 20 age-matched children with isolated orthopedic injuries (OI) scanned within 96 h postinjury. The distribution of hub regions and the associations between alterations in regional network measures and symptom burden, as assessed by the postconcussion symptom scale score (PCSS), were also examined. In comparison to the OI group, the mTBI group was found to have significantly higher small-worldness (P < 0.0001), higher normalized clustering coefficients (P < 0.0001), higher normalized characteristic path length (P = 0.007), higher modularity (P = 0.0005), and lower global efficiency (P < 0.0001). A series of hub regions in the mTBI group were found to have significant alterations in regional network measures including nodal degree, nodal clustering coefficient, and nodal between-ness centrality. Correlation analysis showed that PCSS total score acquired at the time of imaging was significantly associated with the nodal degree of two hubs, the superior frontal gyrus at orbital section and the middle frontal gyrus. These findings provide new evidence of acute white matter alteration at both global and regional network level following mTBI in children furthering our understanding of underlying mechanisms of acute neurological insult associated with mTBI.
authors.affiliation: Pediatric Neuroimaging Research Consortium, Division of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; College of Medicine University of Cincinnati, Cincinnati, Ohio.
authors.forename: Weihong
authors.initials: W
authors.lastname: Yuan
authors.forename: Shari L
authors.initials: SL
authors.lastname: Wade
authors.forename: Lynn
authors.initials: L
authors.lastname: Babcock
mesh_terms: D000293:Adolescent; D001921:Brain / Q000473:pathology*; D001930:Brain Injuries / Q000473:pathology*; D002648:Child; D038524:Diffusion Magnetic Resonance Imaging; D056324:Diffusion Tensor Imaging; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D009434:Neural Pathways / Q000473:pathology; D011446:Prospective Studies; D012720:Severity of Illness Index
keywords: DTI; acute; graph theoretical analysis; mTBI; network; small-worldness; structural connectivity