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This enables us to avoid the many assumptions that are required for detailed compartmental modelling of nerve cells (e.g. [35]).
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High-order accurate finite difference schemes are derived for a non-linear soliton model of nerve signal propagation in axons.
A valid animal model of nerve regeneration requires it to reproduce the specific processes that take place in regeneration after human peripheral nerve injury.
We will show how these features can render the model output extremely sensitive to parameter fluctuations under realistic physiological conditions, demonstrating that Uncertainty Quantification might be indispensable to provide sensible biophysical models of nerve impulses.
This can be addressed using in vivo models of nerve injury and growth in conjunction with determining gene expression patterns in the cells.
Therefore, neurotrophic factors have been extensively investigated in animal models of nerve injury to further enhance and accelerate the process of nerve regeneration and functional recovery [ 5].
We also studied the role of NRG1 in a more severe model of nerve injury: sciatic nerve transection and reanastamosis (Supplementary Fig. 1B).
Here, we used the sciatic crush model of nerve injury, which is reversible and causes acute sensorimotor disturbances and denervation of skin afferents (37).
Interestingly, increased immunoreactivity for TRPV1 [ 62, 79, 80] and CGRP [ 56, 81] has been previously shown in uninjured primary afferent neuronal perikarya in different models of nerve lesion.
In this study, we identified the circulating miRNAs in a mouse model of nerve allograft transplantation under FK506 immunosuppression by Illumina small RNA deep sequencing.
In a rat sciatic nerve model, Lin and coworkers created a 5-mm nerve defect as a model of nerve coaptation under tension and repaired the nerve with 10-0 nylon epineural sutures, fibrin glue, or PEG hydrogel [ 69].
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