Literature DB >> 16943662

Predicting unconsciousness from a pediatric brain injury threshold.

Qiliang Zhu1, Michael Prange, Susan Margulies.   

Abstract

The objective of this study was to utilize tissue deformation thresholds associated with acute axonal injury in the immature brain to predict the duration of unconsciousness. Ten anesthetized 3- to 5-day-old piglets were subjected to nonimpact axial rotations (110-260 rad/s) producing graded injury, with periods of unconsciousness from 0 to 80 min. Coronal sections of the perfusion-fixed brain were immunostained with neurofilament antibody (NF-68) and examined microscopically to identify regions of swollen axons and terminal retraction balls. Each experiment was simulated with a finite element computational model of the piglet brain and the recorded head velocity traces to estimate the local tissue deformation (strain), the strain rate and their product. Using thresholds associated with 50, 80 and 90% probability of axonal injury, white matter regions experiencing suprathreshold responses were determined and expressed as a fraction of the total white matter volume. These volume fractions were then correlated with the duration of unconsciousness, assuming a linear relationship. The thresholds for 80 and 90% probability of predicting injury were found to correlate better with injury severity than those for 50%, and the product of strain and strain rate was the best predictor of injury severity (p=0.02). Predictive capacity of the linear relationship was confirmed with additional (n=13) animal experiments. We conclude that the suprathreshold injured volume can provide a satisfactory prediction of injury severity in the immature brain. Copyright (c) 2006 S. Karger AG, Basel.

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Year:  2006        PMID: 16943662     DOI: 10.1159/000094165

Source DB:  PubMed          Journal:  Dev Neurosci        ISSN: 0378-5866            Impact factor:   2.984


  4 in total

1.  A Porcine Model of Traumatic Brain Injury via Head Rotational Acceleration.

Authors:  D Kacy Cullen; James P Harris; Kevin D Browne; John A Wolf; John E Duda; David F Meaney; Susan S Margulies; Douglas H Smith
Journal:  Methods Mol Biol       Date:  2016

Review 2.  The mechanics of traumatic brain injury: a review of what we know and what we need to know for reducing its societal burden.

Authors:  David F Meaney; Barclay Morrison; Cameron Dale Bass
Journal:  J Biomech Eng       Date:  2014-02       Impact factor: 2.097

3.  Biofidelic white matter heterogeneity decreases computational model predictions of white matter strains during rapid head rotations.

Authors:  Matthew R Maltese; Susan S Margulies
Journal:  Comput Methods Biomech Biomed Engin       Date:  2016-04-28       Impact factor: 1.763

4.  Impact depth and the interaction with impact speed affect the severity of contusion spinal cord injury in rats.

Authors:  Cameron J Lam; Peggy Assinck; Jie Liu; Wolfram Tetzlaff; Thomas R Oxland
Journal:  J Neurotrauma       Date:  2014-09-17       Impact factor: 5.269

  4 in total

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