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A computational study of the impact of inhomogeneous internodal lengths on conduction velocity in myelinated neurons

Scurfield, Abby, Latimer, David C.·2018·PLOS ONE
DOI 10.1371/journal.pone.0191106PMC PMC5766232
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Fig 1 Conduction velocity along progressively remyelinated axons. The black squares represent the average CV (and standard deviation) for 500 model neurons with a given fraction of remyelinated segments. The blue solid curve is the benchmark velocity v¯(p). The red circles represent the CV for an axon with uniform internode length given by the average internode length of the remyelinated model neurons.
Fig 1 Conduction velocity along progressively remyelinated axons. The black squares represent the average CV (and standard deviation) for 500 model neurons with a given fraction of remyelinated segments. The blue solid curve is the benchmark velocity v¯(p). The red circles represent the CV for an axon with uniform internode length given by the average internode length of the remyelinated model neurons.CC BY · PubMed Central
Fig 2 Conduction velocity along progressively remyelinated axons for the Gow and Devaux TJ model. The black circles represent the average CV (and standard deviation) for 500 model neurons with a given fraction of remyelinated segments with a g-ratio of 0.69; the blue solid curve is the benchmark velocity v¯(p) for this case. The purple diamonds represent the average CV (and standard deviation) for 500 model neurons with a given fraction of remyelinated segments whose g-ratio is 0.86; the red solid curve is the benchmark velocity v¯(p) for this case.
Fig 2 Conduction velocity along progressively remyelinated axons for the Gow and Devaux TJ model. The black circles represent the average CV (and standard deviation) for 500 model neurons with a given fraction of remyelinated segments with a g-ratio of 0.69; the blue solid curve is the benchmark velocity v¯(p) for this case. The purple diamonds represent the average CV (and standard deviation) for 500 model neurons with a given fraction of remyelinated segments whose g-ratio is 0.86; the red solid curve is the benchmark velocity v¯(p) for this case.CC BY · PubMed Central

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Research works printed but not linked: 39

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Metadata

Authors
Scurfield, A., & Latimer, D. C.
ORCID
Latimer, David C.
Venue
PLOS ONE
Publisher
Public Library of Science (PLoS)
Published
2018-01-12
Volume
13
Issue
1
Pages
e0191106
ISSN
1932-6203
DOI
10.1371/journal.pone.0191106
PMC
PMC5766232
Cited by
38
References
8
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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CoChat. (2026). Citation check: A computational study of the impact of inhomogeneous internodal lengths on conduction velocity in myelinated neurons. https://app.cochat.ai/papers/10.1371/journal.pone.0191106
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Scurfield, A., & Latimer, D. C. (2018). A computational study of the impact of inhomogeneous internodal lengths on conduction velocity in myelinated neurons. PLOS ONE. https://doi.org/10.1371/journal.pone.0191106