Brain architecture-based vulnerability to traumatic injury

• Published in: Frontiers in bioengineering and biotechnology Vol. 10; p. 936082
• Main Authors: Rifkin, Jared A., Wu, Taotao, Rayfield, Adam C., Anderson, Erin D., Panzer, Matthew B., Meaney, David F.
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 24.08.2022
• Subjects: Bioengineering and Biotechnology; brain networks; Kuramoto model; lesions; structural connectivity; traumatic brain injury
• ISSN: 2296-4185; 2296-4185
• DOI: 10.3389/fbioe.2022.936082

The white matter tracts forming the intricate wiring of the brain are subject-specific; this heterogeneity can complicate studies of brain function and disease. Here we collapse tractography data from the Human Connectome Project (HCP) into structural connectivity (SC) matrices and identify groups of similarly wired brains from both sexes. To characterize the significance of these architectural groupings, we examined how similarly wired brains led to distinct groupings of neural activity dynamics estimated with Kuramoto oscillator models (KMs). We then lesioned our networks to simulate traumatic brain injury (TBI) and finally we tested whether these distinct architecture groups’ dynamics exhibited differing responses to simulated TBI. At each of these levels we found that brain structure, simulated dynamics, and injury susceptibility were all related to brain grouping. We found four primary brain architecture groupings (two male and two female), with similar architectures appearing across both sexes. Among these groupings of brain structure, two architecture types were significantly more vulnerable than the remaining two architecture types to lesions. These groups suggest that mesoscale brain architecture types exist, and these architectural differences may contribute to differential risks to TBI and clinical outcomes across the population.