z-logo
open-access-imgOpen Access
Real-time, whole-brain, temporally resolved pressure responses in translational head impact
Author(s) -
Wei Zhao,
Songbai Ji
Publication year - 2015
Publication title -
interface focus
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 49
eISSN - 2042-8901
pISSN - 2042-8898
DOI - 10.1098/rsfs.2015.0091
Subject(s) - computer science , concussion , hydrostatic pressure , brain atlas , laptop , latency (audio) , impulse (physics) , simulation , artificial intelligence , physics , poison control , medicine , mechanics , injury prevention , telecommunications , environmental health , quantum mechanics , operating system
Theoretical debate still exists on the role of linear acceleration (a lin ) on the risk of brain injury. Recent injury metrics only consider head rotational acceleration (a rot ) but nota lin , despite that real-world on-field head impacts suggestinga lin significantly improves a concussion risk function. These controversial findings suggest a practical challenge in integrating theory and real-world experiment. Focusing on tissue-level mechanical responses estimated from finite-element (FE) models of the human head, rather than impact kinematics alone, may help address this debate. However, the substantial computational cost incurred (runtime and hardware) poses a significant barrier for their practical use. In this study, we established a real-time technique to estimate whole-braina lin -induced pressures. Three hydrostatic atlas pressures corresponding to translational impacts (referred to as ‘brain print’) along the three major axes were pre-computed. For an arbitrarya lin profile at any instance in time, the atlas pressures were linearly scaled and then superimposed to estimate whole-brain responses. Using 12 publically available, independently measured or reconstructed real-worlda lin profiles representative of a range of impact/injury scenarios, the technique was successfully validated (except for one case with an extremely short impulse of approx. 1 ms). The computational cost to estimate whole-brain pressure responses for an entirea lin profile was less than 0.1 s on a laptop versus typically hours on a high-end multicore computer. These findings suggest the potential of the simple, yet effective technique to enable future studies to focus on tissue-level brain responses, rather than solely relying on global head impact kinematics that have plagued early and contemporary brain injury research to date.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom