NeuraConnect Lab

Understanding the networked brain through its injury

Brain architecture-based vulnerability to traumatic injury


Journal article


J. A. Rifkin, Taotao Wu, Adam C. Rayfield, Erin D. Anderson, M. Panzer, D. Meaney
Frontiers in Bioengineering and Biotechnology, 2022

Semantic Scholar DOI PubMedCentral PubMed
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APA   Click to copy
Rifkin, J. A., Wu, T., Rayfield, A. C., Anderson, E. D., Panzer, M., & Meaney, D. (2022). Brain architecture-based vulnerability to traumatic injury. Frontiers in Bioengineering and Biotechnology.


Chicago/Turabian   Click to copy
Rifkin, J. A., Taotao Wu, Adam C. Rayfield, Erin D. Anderson, M. Panzer, and D. Meaney. “Brain Architecture-Based Vulnerability to Traumatic Injury.” Frontiers in Bioengineering and Biotechnology (2022).


MLA   Click to copy
Rifkin, J. A., et al. “Brain Architecture-Based Vulnerability to Traumatic Injury.” Frontiers in Bioengineering and Biotechnology, 2022.


BibTeX   Click to copy

@article{j2022a,
  title = {Brain architecture-based vulnerability to traumatic injury},
  year = {2022},
  journal = {Frontiers in Bioengineering and Biotechnology},
  author = {Rifkin, J. A. and Wu, Taotao and Rayfield, Adam C. and Anderson, Erin D. and Panzer, M. and Meaney, D.}
}

Abstract

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.