The “Lillie Transition”: models of the onset of saltatory conduction in myelinating axons
Almost 90 years ago, Lillie reported that rapid saltatory conduction arose in an iron wire model of nerve impulse propagation when he covered the wire with insulating sections of glass tubing equivalent to myelinated internodes. This led to his suggestion of a similar mechanism explaining rapid cond...
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description | Almost 90 years ago, Lillie reported that rapid saltatory conduction arose in an iron wire model of nerve impulse propagation when he covered the wire with insulating sections of glass tubing equivalent to myelinated internodes. This led to his suggestion of a similar mechanism explaining rapid conduction in myelinated nerve. In both their evolution and their development, myelinating axons must make a similar transition between continuous and saltatory conduction. Achieving a smooth transition is a potential challenge that we examined in computer models simulating a segmented insulating sheath surrounding an axon having Hodgkin-Huxley squid parameters. With a wide gap under the sheath, conduction was continuous. As the gap was reduced, conduction initially slowed, owing to the increased extra-axonal resistance, then increased (the “rise”) up to several times that of the unmyelinated fiber, as saltatory conduction set in. The conduction velocity slowdown was little affected by the number of myelin layers or modest changes in the size of the “node,” but strongly affected by the size of the “internode” and axon diameter. The steepness of the rise of rapid conduction was greatly affected by the number of myelin layers and axon diameter, variably affected by internode length and little affected by node length. The transition to saltatory conduction occurred at surprisingly wide gaps and the improvement in conduction speed persisted to surprisingly small gaps. The study demonstrates that the specialized paranodal seals between myelin and axon, and indeed even the clustering of sodium channels at the nodes, are not necessary for saltatory conduction. |
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This led to his suggestion of a similar mechanism explaining rapid conduction in myelinated nerve. In both their evolution and their development, myelinating axons must make a similar transition between continuous and saltatory conduction. Achieving a smooth transition is a potential challenge that we examined in computer models simulating a segmented insulating sheath surrounding an axon having Hodgkin-Huxley squid parameters. With a wide gap under the sheath, conduction was continuous. As the gap was reduced, conduction initially slowed, owing to the increased extra-axonal resistance, then increased (the “rise”) up to several times that of the unmyelinated fiber, as saltatory conduction set in. The conduction velocity slowdown was little affected by the number of myelin layers or modest changes in the size of the “node,” but strongly affected by the size of the “internode” and axon diameter. The steepness of the rise of rapid conduction was greatly affected by the number of myelin layers and axon diameter, variably affected by internode length and little affected by node length. The transition to saltatory conduction occurred at surprisingly wide gaps and the improvement in conduction speed persisted to surprisingly small gaps. The study demonstrates that the specialized paranodal seals between myelin and axon, and indeed even the clustering of sodium channels at the nodes, are not necessary for saltatory conduction.</description><identifier>ISSN: 0929-5313</identifier><identifier>EISSN: 1573-6873</identifier><identifier>DOI: 10.1007/s10827-012-0435-3</identifier><identifier>PMID: 23306554</identifier><identifier>CODEN: JCNEFR</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Action Potentials - physiology ; Animals ; Axons - physiology ; Biomedical and Life Sciences ; Biomedicine ; Computer Simulation ; Human Genetics ; Models, Neurological ; Myelin Sheath ; Nerve Fibers, Myelinated - physiology ; Neural Conduction - physiology ; Neurology ; Neurosciences ; Theory of Computation</subject><ispartof>Journal of computational neuroscience, 2013-06, Vol.34 (3), p.533-546</ispartof><rights>Springer Science+Business Media New York 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-6100210ee39423f0b75baa995fa915d0816d7fff801a7f0c41301e321372551e3</citedby><cites>FETCH-LOGICAL-c405t-6100210ee39423f0b75baa995fa915d0816d7fff801a7f0c41301e321372551e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10827-012-0435-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10827-012-0435-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23306554$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Young, Robert G.</creatorcontrib><creatorcontrib>Castelfranco, Ann M.</creatorcontrib><creatorcontrib>Hartline, Daniel K.</creatorcontrib><title>The “Lillie Transition”: models of the onset of saltatory conduction in myelinating axons</title><title>Journal of computational neuroscience</title><addtitle>J Comput Neurosci</addtitle><addtitle>J Comput Neurosci</addtitle><description>Almost 90 years ago, Lillie reported that rapid saltatory conduction arose in an iron wire model of nerve impulse propagation when he covered the wire with insulating sections of glass tubing equivalent to myelinated internodes. 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The steepness of the rise of rapid conduction was greatly affected by the number of myelin layers and axon diameter, variably affected by internode length and little affected by node length. The transition to saltatory conduction occurred at surprisingly wide gaps and the improvement in conduction speed persisted to surprisingly small gaps. The study demonstrates that the specialized paranodal seals between myelin and axon, and indeed even the clustering of sodium channels at the nodes, are not necessary for saltatory conduction.</description><subject>Action Potentials - physiology</subject><subject>Animals</subject><subject>Axons - physiology</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Computer Simulation</subject><subject>Human Genetics</subject><subject>Models, Neurological</subject><subject>Myelin Sheath</subject><subject>Nerve Fibers, Myelinated - physiology</subject><subject>Neural Conduction - physiology</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>Theory of Computation</subject><issn>0929-5313</issn><issn>1573-6873</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkc9q3DAQh0VpaLZpH6CXIuglF7czGsuyeyuh_2Chl82xCK0tpQq2lEo2dG95kObl8iTVZtNSCoWcNGK--Q3Dx9gLhNcIoN5khFaoClBUUJOs6BFboVRUNa2ix2wFnegqSUjH7GnOlwDQKoQn7FgQQSNlvWJfN98sv73-ufbj6C3fJBOyn30Mt9c3b_kUBztmHh2fCxZDtvP-k804mzmmHe9jGJZ-z3Mf-LSzow9m9uGCmx8Ff8aOnBmzfX7_nrDzD-83Z5-q9ZePn8_erau-BjlXTblGIFhLXS3IwVbJrTFdJ53pUA7QYjMo51wLaJSDvkYCtCSQlJCyVCfs9JB7leL3xeZZTz73dhxNsHHJGkk2HQno2oeggLKpSRT01T_oZVxSKIfcBbZ1WzdNofBA9SnmnKzTV8lPJu00gt5r0gdNumjSe02ayszL--RlO9nhz8RvLwUQByCXVriw6a_V_039BbU1nOU</recordid><startdate>20130601</startdate><enddate>20130601</enddate><creator>Young, Robert G.</creator><creator>Castelfranco, Ann M.</creator><creator>Hartline, Daniel K.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20130601</creationdate><title>The “Lillie Transition”: models of the onset of saltatory conduction in myelinating axons</title><author>Young, Robert G. ; Castelfranco, Ann M. ; Hartline, Daniel K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-6100210ee39423f0b75baa995fa915d0816d7fff801a7f0c41301e321372551e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Action Potentials - physiology</topic><topic>Animals</topic><topic>Axons - physiology</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Computer Simulation</topic><topic>Human Genetics</topic><topic>Models, Neurological</topic><topic>Myelin Sheath</topic><topic>Nerve Fibers, Myelinated - physiology</topic><topic>Neural Conduction - physiology</topic><topic>Neurology</topic><topic>Neurosciences</topic><topic>Theory of Computation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Young, Robert G.</creatorcontrib><creatorcontrib>Castelfranco, Ann M.</creatorcontrib><creatorcontrib>Hartline, Daniel K.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Biological Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of computational neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Young, Robert G.</au><au>Castelfranco, Ann M.</au><au>Hartline, Daniel K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The “Lillie Transition”: models of the onset of saltatory conduction in myelinating axons</atitle><jtitle>Journal of computational neuroscience</jtitle><stitle>J Comput Neurosci</stitle><addtitle>J Comput Neurosci</addtitle><date>2013-06-01</date><risdate>2013</risdate><volume>34</volume><issue>3</issue><spage>533</spage><epage>546</epage><pages>533-546</pages><issn>0929-5313</issn><eissn>1573-6873</eissn><coden>JCNEFR</coden><abstract>Almost 90 years ago, Lillie reported that rapid saltatory conduction arose in an iron wire model of nerve impulse propagation when he covered the wire with insulating sections of glass tubing equivalent to myelinated internodes. This led to his suggestion of a similar mechanism explaining rapid conduction in myelinated nerve. In both their evolution and their development, myelinating axons must make a similar transition between continuous and saltatory conduction. Achieving a smooth transition is a potential challenge that we examined in computer models simulating a segmented insulating sheath surrounding an axon having Hodgkin-Huxley squid parameters. With a wide gap under the sheath, conduction was continuous. As the gap was reduced, conduction initially slowed, owing to the increased extra-axonal resistance, then increased (the “rise”) up to several times that of the unmyelinated fiber, as saltatory conduction set in. The conduction velocity slowdown was little affected by the number of myelin layers or modest changes in the size of the “node,” but strongly affected by the size of the “internode” and axon diameter. The steepness of the rise of rapid conduction was greatly affected by the number of myelin layers and axon diameter, variably affected by internode length and little affected by node length. The transition to saltatory conduction occurred at surprisingly wide gaps and the improvement in conduction speed persisted to surprisingly small gaps. The study demonstrates that the specialized paranodal seals between myelin and axon, and indeed even the clustering of sodium channels at the nodes, are not necessary for saltatory conduction.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>23306554</pmid><doi>10.1007/s10827-012-0435-3</doi><tpages>14</tpages></addata></record> |
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subjects | Action Potentials - physiology Animals Axons - physiology Biomedical and Life Sciences Biomedicine Computer Simulation Human Genetics Models, Neurological Myelin Sheath Nerve Fibers, Myelinated - physiology Neural Conduction - physiology Neurology Neurosciences Theory of Computation |
title | The “Lillie Transition”: models of the onset of saltatory conduction in myelinating axons |
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