ArticleJournal of neuroscience methods2025
A novel integration of brain structural and functional connectivity for identifying traumatic brain injury induced perturbations.
Article in Journal of neuroscience methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Mechanical deformation explains distinct neuroimaging patterns and etiologies in brain trauma.NeuroImage · 2026Article
- Comparative Mapping of Functional and Structural Homologies in the Pig and Human Brain.bioRxiv : the preprint server for biology · 2026Article
- Longitudinal evaluation of white matter tracts post traumatic brain injury using a pediatric porcine model.Journal of neuroscience methods · 2026Article
- From artery to memory: a comparative review of vascular cognitive impairment surgical models.Frontiers in aging neuroscience · 2026Review
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8 authors.
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Abstract
backgroundThe ability of the brain to perform multiple complex tasks with fixed structures has yet to be fully elucidated. Structural connectivity (SC) and functional connectivity (FC) have been increasingly used to understand the structure and function of the brain respectively. However, a limited number of studies have explored the relationship between both entities especially in translational animal models. NEW
methodWe proposed an integration of both SC and FC can improve understanding of brain's structure, function, their interplay, and brain's response to neurological conditions such as traumatic brain injury (TBI). We investigated structure-function correlation at multiple scales (small: cortical regions, medium: resting state networks, and large: hemispheric and whole brain), and adapted a Bayesian framework to incorporate SC for constructing structurally-informed FC (siFC) using a translational porcine model.
resultsThere is a significantly strong correlation r = 0.277 ± 0.011 between SC and FC in healthy pigs which is consistent across different scales. Further, siFC stability is measured as a Pearson correlation (r = 0.72 ± 0.07) between time-resolved FCs. Subsequent differential degree test analysis using siFC provided more explicit profiling of perturbations caused by TBI. COMPARING WITH EXISTING
methodsThe siFC is more immune to large, dynamic variability than FC alone. A more accurate profiling of significantly altered connections and affected hubs by TBI is achieved which is consistent with TBI induced structural deformations.
conclusionOur findings demonstrated that SC-FC integration model improved detection of significant differences in brain connectivity and pinpoints hub regions that had been directly impacted by TBI.
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