Literature DB >> 28833411

Improved prediction of direction-dependent, acute axonal injury in piglets.

Lorre S Atlan1, Colin Smith2, Susan S Margulies1.   

Abstract

To guide development of safety equipment that reduces sports-related head injuries, we sought to enhance predictive relationships between head movement and acute axonal injury severity. The severity of traumatic brain injury (TBI) is influenced by the magnitude and direction of head kinematics. Previous studies have demonstrated correlation between rotational head kinematics and symptom severity in the adult. More recent studies have demonstrated brain injury age- and direction-dependence, relating head kinematics to white matter tract-oriented strains. We have recently developed and assessed novel rotational head kinematic parameters as predictors of white matter damage in the female immature piglet. We show that many previously published rotational kinematic injury predictor metrics poorly predict acute axonal pathology induced by rapid, non-impact head rotations and that inclusion of cerebral moments of inertia (MOI) in rotational head injury metrics refines prediction of diffuse axonal injury following rapid head rotations for two immature age groups. Rotational Work (RotWork) was the best significant predictor of traumatic axonal injury in both newborn and pre-adolescent piglets following head rotations in the axial, coronal, and sagittal planes. An improvement over current metrics, we find that RotWork, which incorporates head rotation rate, direction, and brain shape, significantly enhanced acute traumatic axonal injury prediction. For similar injury extent, the RotWork threshold is lower for the newborn piglet than the pre-adolescent.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  biomechanics; brain trauma; kinematics; pediatric; rotational

Mesh:

Year:  2017        PMID: 28833411      PMCID: PMC5803402          DOI: 10.1002/jnr.24108

Source DB:  PubMed          Journal:  J Neurosci Res        ISSN: 0360-4012            Impact factor:   4.164


  37 in total

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Authors:  Sarah Sullivan; Stuart H Friess; Jill Ralston; Colin Smith; Kathleen J Propert; Paul E Rapp; Susan S Margulies
Journal:  J Neurotrauma       Date:  2013-04-03       Impact factor: 5.269

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  5 in total

1.  Frequency-Dependent Changes in Resting State Electroencephalogram Functional Networks after Traumatic Brain Injury in Piglets.

Authors:  Lorre S Atlan; Susan S Margulies
Journal:  J Neurotrauma       Date:  2019-05-23       Impact factor: 5.269

2.  Relationships between injury kinematics, neurological recovery, and pathology following concussion.

Authors:  Kathryn L Wofford; Michael R Grovola; Dayo O Adewole; Kevin D Browne; Mary E Putt; John C O'Donnell; D Kacy Cullen
Journal:  Brain Commun       Date:  2021-11-17

3.  Changes in event-related potential functional networks predict traumatic brain injury in piglets.

Authors:  Lorre S Atlan; Ingrid S Lan; Colin Smith; Susan S Margulies
Journal:  Clin Biomech (Bristol, Avon)       Date:  2018-06-01       Impact factor: 2.063

4.  Non-Linear Device Head Coupling and Temporal Delays in Large Animal Acceleration Models of Traumatic Brain Injury.

Authors:  Andrew R Mayer; Josef M Ling; Declan A Patton; David D Stephenson; Andrew B Dodd; Rebecca J Dodd; Julie G Rannou-Latella; Douglas H Smith; Victoria E Johnson; D Kacy Cullen; Timothy B Meier; Rachel E Kinsler
Journal:  Ann Biomed Eng       Date:  2022-04-02       Impact factor: 4.219

5.  Reproducibility and Characterization of Head Kinematics During a Large Animal Acceleration Model of Traumatic Brain Injury.

Authors:  Andrew R Mayer; Josef M Ling; Andrew B Dodd; Julie G Rannou-Latella; David D Stephenson; Rebecca J Dodd; Carissa J Mehos; Declan A Patton; D Kacy Cullen; Victoria E Johnson; Sharvani Pabbathi Reddy; Cidney R Robertson-Benta; Andrew P Gigliotti; Timothy B Meier; Meghan S Vermillion; Douglas H Smith; Rachel Kinsler
Journal:  Front Neurol       Date:  2021-06-09       Impact factor: 4.003

  5 in total

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