White Matter Tract-Oriented Deformation Is Dependent on Real-Time Axonal Fiber Orientation
Author(s) -
Zhou Zhou,
August G. Domel,
Xiaogai Li,
Gerald A. Grant,
Svein Kleiven,
David B. Camarillo,
Michael Zeineh
Publication year - 2021
Publication title -
journal of neurotrauma
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.653
H-Index - 149
eISSN - 1557-9042
pISSN - 0897-7151
DOI - 10.1089/neu.2020.7412
Subject(s) - fiber tract , white matter , orientation (vector space) , fiber , strain (injury) , deformation (meteorology) , diffuse axonal injury , neuroscience , finite element method , physics , materials science , anatomy , geology , geometry , structural engineering , psychology , medicine , traumatic brain injury , mathematics , magnetic resonance imaging , composite material , engineering , radiology , psychiatry
Traumatic axonal injury (TAI) is a critical public health issue with its pathogenesis remaining largely elusive. Finite element (FE) head models are promising tools to bridge the gap between mechanical insult, localized brain response, and resultant injury. In particular, the FE-derived deformation along the direction of white matter (WM) tracts (i.e., tract-oriented strain) has been shown to be an appropriate predictor for TAI. The evolution of fiber orientation in time during the impact and its potential influence on the tract-oriented strain remains unknown, however. To address this question, the present study leveraged an embedded element approach to track real-time fiber orientation during impacts. A new scheme to calculate the tract-oriented strain was proposed by projecting the strain tensors from pre-computed simulations along the temporal fiber direction instead of its static counterpart directly obtained from diffuse tensor imaging. The results revealed that incorporating the real-time fiber orientation not only altered the direction but also amplified the magnitude of the tract-oriented strain, resulting in a generally more extended distribution and a larger volume ratio of WM exposed to high deformation along fiber tracts. These effects were exacerbated with the impact severities characterized by the acceleration magnitudes. Results of this study provide insights into how best to incorporate fiber orientation in head injury models and derive the WM tract-oriented deformation from computational simulations, which is important for furthering our understanding of the underlying mechanisms of TAI.
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