Integrated Cellular-Tissue Biomechanics of Brain Injury

Abstract

Integrated Cellular-Tissue Biomechanics of Brain InjuryThe long-term objective here is to link traumatic brain injury (TBI) with multiscale, Multiphysics damage evolution in the brain using experimentally verifiable computations and simulations. The short-term goal is to conduct machine learning-guided computations and relevant experiments to correlate blast/blunt-like mechanical trauma to cellular- and tissue-level damage in axons, glial cells, extracellular matrices and aggregates of axons in extracellular matrix. The proposed study will determine the effect of trauma load on the cellular and then tissue level damages in the neurons. The proposed study will demonstrate the potential linkage between blast-like trauma,cavitation and cellular-tissue level damage in the brain. With the advent of new threats and innovation in IED devices, our warfighters risks for blast exposure and concussions have increased significantly. As such the proposed study has direct navy relevance. The proposed computational and experimental study will involve (a) atomistic simulations, (b) finite element study (c) cavitation resonance experiment, (d) simulated electrophysiology and (e) a Bayesian/artificial neural network-based machine learning algorithm.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 02, 2021
Source ID
N000142112043

Entities

People

  • Ashfaq Adnan

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Texas at Arlington

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Neuroscience
  • Neurotrauma and Rehabilitation Medicine.

Technology Areas

  • AI & ML