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The Journal of Neurophysiology Vol. 85 No. 1 January 2001, pp. 197-210
Copyright ©2001 by the American Physiological Society
Department of Physiology, University of Wisconsin School of Medicine, Madison, Wisconsin 53706
Zhou, Lei and
Shing Yan Chiu.
Computer Model for Action Potential Propagation Through Branch
Point in Myelinated Nerves. J. Neurophysiol. 85: 197-210, 2001. A mathematical model is developed for
simulation of action potential propagation through a single branch
point of a myelinated nerve fiber with a parent branch bifurcating into
two identical daughter branches. This model is based on a previously
published multi-layer compartmental model for single unbranched
myelinated nerve fibers. Essential modifications were made to
couple both daughter branches to the parent branch. There are two major
features in this model. First, the model could incorporate detailed
geometrical parameters for the myelin sheath and the axon, accomplished
by dividing both structures into many segments. Second, each segment has two layers, the myelin sheath and the axonal membrane, allowing voltages of intra-axonal space and periaxonal space to be calculated separately. In this model, K ion concentration in the periaxonal space
is dynamically linked to the activity of axonal fast K channels underneath the myelin in the paranodal region. Our model demonstrates that the branch point acts like a low-pass filter, blocking
high-frequency transmission from the parent to the daughter branches.
Theoretical analysis showed that the cutoff frequency for transmission
through the branch point is determined by temperature, local K ion
accumulation, width of the periaxonal space, and internodal lengths at
the vicinity of the branch point. Our result is consistent with
empirical findings of irregular spacing of nodes of Ranvier at axon
abors, suggesting that branch points of myelinated axons play important
roles in signal integration in an axonal tree.
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