Brain architecture-based vulnerability to traumatic injury
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 o...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2022.936082/full |
| _version_ | 1828357165027426304 |
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| author | Jared A. Rifkin Jared A. Rifkin Taotao Wu Adam C. Rayfield Erin D. Anderson Matthew B. Panzer Matthew B. Panzer David F. Meaney David F. Meaney |
| author_facet | Jared A. Rifkin Jared A. Rifkin Taotao Wu Adam C. Rayfield Erin D. Anderson Matthew B. Panzer Matthew B. Panzer David F. Meaney David F. Meaney |
| author_sort | Jared A. Rifkin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T03:12:08Z |
| format | Article |
| id | doaj.art-fc80eea7e0c7493a99ff8c9fe543adab |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-04-14T03:12:08Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-fc80eea7e0c7493a99ff8c9fe543adab2022-12-22T02:15:35ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852022-08-011010.3389/fbioe.2022.936082936082Brain architecture-based vulnerability to traumatic injuryJared A. Rifkin0Jared A. Rifkin1Taotao Wu2Adam C. Rayfield3Erin D. Anderson4Matthew B. Panzer5Matthew B. Panzer6David F. Meaney7David F. Meaney8Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United StatesDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA, United StatesDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, United StatesDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, United StatesDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, United StatesDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA, United StatesDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, United StatesDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, United StatesDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United StatesThe 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.https://www.frontiersin.org/articles/10.3389/fbioe.2022.936082/fullKuramoto modelstructural connectivitybrain networkstraumatic brain injurylesions |
| spellingShingle | Jared A. Rifkin Jared A. Rifkin Taotao Wu Adam C. Rayfield Erin D. Anderson Matthew B. Panzer Matthew B. Panzer David F. Meaney David F. Meaney Brain architecture-based vulnerability to traumatic injury Frontiers in Bioengineering and Biotechnology Kuramoto model structural connectivity brain networks traumatic brain injury lesions |
| title | Brain architecture-based vulnerability to traumatic injury |
| title_full | Brain architecture-based vulnerability to traumatic injury |
| title_fullStr | Brain architecture-based vulnerability to traumatic injury |
| title_full_unstemmed | Brain architecture-based vulnerability to traumatic injury |
| title_short | Brain architecture-based vulnerability to traumatic injury |
| title_sort | brain architecture based vulnerability to traumatic injury |
| topic | Kuramoto model structural connectivity brain networks traumatic brain injury lesions |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2022.936082/full |
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