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1.
PLoS One ; 15(5): e0232975, 2020.
Article in English | MEDLINE | ID: mdl-32392241

ABSTRACT

Finite element models combined with animal experimental models of spinal cord injury provides the opportunity for investigating the effects of the injury mechanism on the neural tissue deformation and the resulting tissue damage. Thus, we developed a finite element model of the mouse cervical spinal cord in order to investigate the effect of morphological, experimental and mechanical factors on the spinal cord mechanical behavior subjected to transverse contusion. The overall mechanical behavior of the model was validated with experimental data of unilateral cervical contusion in mice. The effects of the spinal cord material properties, diameter and curvature, and of the impactor position and inclination on the strain distribution were investigated in 8 spinal cord anatomical regions of interest for 98 configurations of the model. Pareto analysis revealed that the material properties had a significant effect (p<0.01) for all regions of interest of the spinal cord and was the most influential factor for 7 out of 8 regions. This highlighted the need for comprehensive mechanical characterization of the gray and white matter in order to develop effective models capable of predicting tissue deformation during spinal cord injuries.


Subject(s)
Models, Neurological , Spinal Cord Injuries/pathology , Spinal Cord Injuries/physiopathology , Animals , Biomechanical Phenomena , Computer Simulation , Disease Models, Animal , Finite Element Analysis , Gray Matter/pathology , Gray Matter/physiopathology , Humans , Imaging, Three-Dimensional , Mice , Spinal Cord Injuries/etiology , White Matter/pathology , White Matter/physiopathology
2.
J Neurosci Methods ; 293: 1-5, 2018 Jan 01.
Article in English | MEDLINE | ID: mdl-28923686

ABSTRACT

BACKGROUND: Animal models of spinal cord injuries aim to utilize controlled and reproducible conditions. However, a literature review reveals that mouse contusion studies using equivalent protocols may show large disparities in the observed impact force vs. cord compression relationship. The overall purpose of this study was to investigate possible sources of bias in these measurements. The specific objective was to improve spinal cord compression measurements using a video-based setup to detect the impactor-spinal cord time-to-contact. NEW METHOD: A force-controlled 30kDyn unilateral contusion at C4 vertebral level was performed in six mice with the Infinite Horizon impactor (IH). High-speed video was used to determine the time-to-contact between the impactor tip and the spinal cord and to compute the related displacement of the tip into the tissue: the spinal cord compression and the compression ratio. RESULTS & COMPARISON WITH EXISTING METHOD(S): Delayed time-to-contact detection with the IH device led to an underestimation of the cord compression. Compression values indicated by the IH were 64% lower than those based on video analysis (0.33mm vs. 0.88mm). Consequently, the mean compression ratio derived from the device was underestimated when compared to the value derived from video analysis (22% vs. 61%). CONCLUSIONS: Default time-to-contact detection from the IH led to significant errors in spinal cord compression assessment. Accordingly, this may explain some of the reported data discrepancies in the literature. The proposed setup could be implemented by users of contusion devices to improve the quantative description of the primary injury inflicted to the spinal cord.


Subject(s)
Disease Models, Animal , Image Processing, Computer-Assisted/methods , Spinal Cord Compression , Video Recording , Animals , Axis, Cervical Vertebra , Cervical Cord/diagnostic imaging , Cervical Cord/injuries , Female , Magnetic Resonance Imaging , Mice, Inbred C57BL , Reproducibility of Results , Retrospective Studies , Spinal Cord , Spinal Cord Compression/diagnostic imaging , Time Factors , Video Recording/methods
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