Myelination and isochronicity in neural networks

Our brain contains a multiplicity of neuronal networks. In many of these, information sent from presynaptic neurons travels through a variety of pathways of different distances, yet arrives at the postsynaptic cells at the same time. Such isochronicity is achieved either by changes in the conduction...

Full description

Bibliographic Details
Main Authors: Fumitaka Kimura, Chiaki Itami
Format: Article
Language:English
Published: Frontiers Media S.A. 2009-07-01
Series:Frontiers in Neuroanatomy
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/neuro.05.012.2009/full
_version_ 1819141983765004288
author Fumitaka Kimura
Chiaki Itami
author_facet Fumitaka Kimura
Chiaki Itami
author_sort Fumitaka Kimura
collection DOAJ
description Our brain contains a multiplicity of neuronal networks. In many of these, information sent from presynaptic neurons travels through a variety of pathways of different distances, yet arrives at the postsynaptic cells at the same time. Such isochronicity is achieved either by changes in the conduction velocity of axons or by lengthening the axonal path to compensate for fast conduction. To regulate the conduction velocity, a change in the extent of myelination has recently been proposed in thalamocortical and other pathways. This is in addition to a change in the axonal diameter, a previously identified, more accepted mechanism. Thus, myelination is not a simple means of insulation or acceleration of impulse conduction, but it is rather an exquisite way of actively regulating the timing of communication among various neuronal connections with different length.
first_indexed 2024-12-22T12:03:07Z
format Article
id doaj.art-4660088cbd184fe88ea8ae20229e47de
institution Directory Open Access Journal
issn 1662-5129
language English
last_indexed 2024-12-22T12:03:07Z
publishDate 2009-07-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Neuroanatomy
spelling doaj.art-4660088cbd184fe88ea8ae20229e47de2022-12-21T18:26:30ZengFrontiers Media S.A.Frontiers in Neuroanatomy1662-51292009-07-01310.3389/neuro.05.012.2009672Myelination and isochronicity in neural networksFumitaka Kimura0Chiaki Itami1Osaka University Graduate School of MedicineSaitama Medical UniversityOur brain contains a multiplicity of neuronal networks. In many of these, information sent from presynaptic neurons travels through a variety of pathways of different distances, yet arrives at the postsynaptic cells at the same time. Such isochronicity is achieved either by changes in the conduction velocity of axons or by lengthening the axonal path to compensate for fast conduction. To regulate the conduction velocity, a change in the extent of myelination has recently been proposed in thalamocortical and other pathways. This is in addition to a change in the axonal diameter, a previously identified, more accepted mechanism. Thus, myelination is not a simple means of insulation or acceleration of impulse conduction, but it is rather an exquisite way of actively regulating the timing of communication among various neuronal connections with different length.http://journal.frontiersin.org/Journal/10.3389/neuro.05.012.2009/fullaxon diameterconduction velocityisochronicitythalamocortical pathway
spellingShingle Fumitaka Kimura
Chiaki Itami
Myelination and isochronicity in neural networks
Frontiers in Neuroanatomy
axon diameter
conduction velocity
isochronicity
thalamocortical pathway
title Myelination and isochronicity in neural networks
title_full Myelination and isochronicity in neural networks
title_fullStr Myelination and isochronicity in neural networks
title_full_unstemmed Myelination and isochronicity in neural networks
title_short Myelination and isochronicity in neural networks
title_sort myelination and isochronicity in neural networks
topic axon diameter
conduction velocity
isochronicity
thalamocortical pathway
url http://journal.frontiersin.org/Journal/10.3389/neuro.05.012.2009/full
work_keys_str_mv AT fumitakakimura myelinationandisochronicityinneuralnetworks
AT chiakiitami myelinationandisochronicityinneuralnetworks