The evolution of vertebrate and invertebrate myelin: a theoretical computational study
Multilayered, lipid-rich myelin increases nerve impulse conduction velocity, contributes to compact nervous systems, and reduces metabolic costs of neural activity. Based on the hypothesis that increased impulse conduction velocity provides a selective advantage that drives the evolution of myelin,...
Gespeichert in:
Veröffentlicht in: | Journal of computational neuroscience 2015-06, Vol.38 (3), p.521-538 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 538 |
---|---|
container_issue | 3 |
container_start_page | 521 |
container_title | Journal of computational neuroscience |
container_volume | 38 |
creator | Castelfranco, Ann M. Hartline, Daniel K. |
description | Multilayered, lipid-rich myelin increases nerve impulse conduction velocity, contributes to compact nervous systems, and reduces metabolic costs of neural activity. Based on the hypothesis that increased impulse conduction velocity provides a selective advantage that drives the evolution of myelin, we simulated a sequence of plausible intermediate stages of myelin evolution, each of which providing an enhancement of conduction speed. We started with the expansion of insulating glial coverage, which led first to a single layer of myelin surrounding the axon and then to multiple myelin wraps with well-organized nodes. The myelinated fiber was modeled at three levels of complexity as the hypothesized evolutionary progression became more quantitatively exacting: 1) representing the fiber as a mathematically-tractable uniform active cylinder with the effect of myelination approximated by changing its specific capacitance (
C
m
); 2) representing it as a chain of simple, cable-model compartments having alternating nodal and internodal parameters subject to optimization, and 3) representing it in a double cable model with the axon and myelin sheath treated separately. Conduction velocity was optimized at each stage. To maintain optimal conduction velocities, increased myelin coverage of axonal surface must be accompanied by an increase in channel density at the evolving nodes, but along with increases in myelin thickness, a reduction in overall average channel density must occur. Leakage under the myelin sheath becomes more of a problem with smaller fiber diameters, which may help explain the tendency for myelin to occur preferentially in larger nerve fibers in both vertebrates and invertebrates. |
doi_str_mv | 10.1007/s10827-015-0552-x |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1683348034</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3675134531</sourcerecordid><originalsourceid>FETCH-LOGICAL-c471t-4cfb3fa8f222a65ea63b75f6d5dc4cdfab09e9af5af3ab55a08a5c3be5cb68833</originalsourceid><addsrcrecordid>eNqNkcFq3DAQhkVpabZpHyCXYuglF7cjybLl3EJImkCgl7RXMZZHjYNtbSU5ZN--MpuGEAj0JEb65h80H2NHHL5ygOZb5KBFUwJXJSglyoc3bMNVI8taN_It20Ar2lJJLg_YhxjvAEA3HN6zA6G0FC3IDft1c0sF3ftxSYOfC--KewqJuoCJCpz7YpifXUw7Gof5pMAi3ZIPlAaLY2H9tF0SrgG5imnpdx_ZO4djpE-P5yH7eXF-c3ZZXv_4fnV2el3aquGprKzrpEPthBBYK8Jado1yda96W9neYQcttegUOomdUggalZUdKdvVWkt5yI73udvg_ywUk5mGaGkccSa_RMPrDFUaZPU_KHAtOOcZ_fICvfNLyJ9bqSbvUEG9zuZ7ygYfYyBntmGYMOwMB7P6MXs_Jvsxqx_zkHs-PyYv3UT9U8c_IRkQeyDmp_k3hWejX039C45DnL0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1678715063</pqid></control><display><type>article</type><title>The evolution of vertebrate and invertebrate myelin: a theoretical computational study</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Castelfranco, Ann M. ; Hartline, Daniel K.</creator><creatorcontrib>Castelfranco, Ann M. ; Hartline, Daniel K.</creatorcontrib><description>Multilayered, lipid-rich myelin increases nerve impulse conduction velocity, contributes to compact nervous systems, and reduces metabolic costs of neural activity. Based on the hypothesis that increased impulse conduction velocity provides a selective advantage that drives the evolution of myelin, we simulated a sequence of plausible intermediate stages of myelin evolution, each of which providing an enhancement of conduction speed. We started with the expansion of insulating glial coverage, which led first to a single layer of myelin surrounding the axon and then to multiple myelin wraps with well-organized nodes. The myelinated fiber was modeled at three levels of complexity as the hypothesized evolutionary progression became more quantitatively exacting: 1) representing the fiber as a mathematically-tractable uniform active cylinder with the effect of myelination approximated by changing its specific capacitance (
C
m
); 2) representing it as a chain of simple, cable-model compartments having alternating nodal and internodal parameters subject to optimization, and 3) representing it in a double cable model with the axon and myelin sheath treated separately. Conduction velocity was optimized at each stage. To maintain optimal conduction velocities, increased myelin coverage of axonal surface must be accompanied by an increase in channel density at the evolving nodes, but along with increases in myelin thickness, a reduction in overall average channel density must occur. Leakage under the myelin sheath becomes more of a problem with smaller fiber diameters, which may help explain the tendency for myelin to occur preferentially in larger nerve fibers in both vertebrates and invertebrates.</description><identifier>ISSN: 0929-5313</identifier><identifier>EISSN: 1573-6873</identifier><identifier>DOI: 10.1007/s10827-015-0552-x</identifier><identifier>PMID: 25832903</identifier><identifier>CODEN: JCNEFR</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Animals ; Axons - physiology ; Axons - ultrastructure ; Biological Evolution ; Biomedical and Life Sciences ; Biomedicine ; Computer Simulation ; Human Genetics ; Invertebrata ; Invertebrates - physiology ; Models, Neurological ; Myelin Sheath - physiology ; Myelin Sheath - ultrastructure ; Nerve Fibers - physiology ; Neural Conduction - physiology ; Neuroglia - physiology ; Neurology ; Neurons - physiology ; Neurons - ultrastructure ; Neurosciences ; Temperature ; Theory of Computation ; Vertebrates - physiology</subject><ispartof>Journal of computational neuroscience, 2015-06, Vol.38 (3), p.521-538</ispartof><rights>Springer Science+Business Media New York 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c471t-4cfb3fa8f222a65ea63b75f6d5dc4cdfab09e9af5af3ab55a08a5c3be5cb68833</citedby><cites>FETCH-LOGICAL-c471t-4cfb3fa8f222a65ea63b75f6d5dc4cdfab09e9af5af3ab55a08a5c3be5cb68833</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/s10827-015-0552-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10827-015-0552-x$$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/25832903$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Castelfranco, Ann M.</creatorcontrib><creatorcontrib>Hartline, Daniel K.</creatorcontrib><title>The evolution of vertebrate and invertebrate myelin: a theoretical computational study</title><title>Journal of computational neuroscience</title><addtitle>J Comput Neurosci</addtitle><addtitle>J Comput Neurosci</addtitle><description>Multilayered, lipid-rich myelin increases nerve impulse conduction velocity, contributes to compact nervous systems, and reduces metabolic costs of neural activity. Based on the hypothesis that increased impulse conduction velocity provides a selective advantage that drives the evolution of myelin, we simulated a sequence of plausible intermediate stages of myelin evolution, each of which providing an enhancement of conduction speed. We started with the expansion of insulating glial coverage, which led first to a single layer of myelin surrounding the axon and then to multiple myelin wraps with well-organized nodes. The myelinated fiber was modeled at three levels of complexity as the hypothesized evolutionary progression became more quantitatively exacting: 1) representing the fiber as a mathematically-tractable uniform active cylinder with the effect of myelination approximated by changing its specific capacitance (
C
m
); 2) representing it as a chain of simple, cable-model compartments having alternating nodal and internodal parameters subject to optimization, and 3) representing it in a double cable model with the axon and myelin sheath treated separately. Conduction velocity was optimized at each stage. To maintain optimal conduction velocities, increased myelin coverage of axonal surface must be accompanied by an increase in channel density at the evolving nodes, but along with increases in myelin thickness, a reduction in overall average channel density must occur. Leakage under the myelin sheath becomes more of a problem with smaller fiber diameters, which may help explain the tendency for myelin to occur preferentially in larger nerve fibers in both vertebrates and invertebrates.</description><subject>Algorithms</subject><subject>Animals</subject><subject>Axons - physiology</subject><subject>Axons - ultrastructure</subject><subject>Biological Evolution</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Computer Simulation</subject><subject>Human Genetics</subject><subject>Invertebrata</subject><subject>Invertebrates - physiology</subject><subject>Models, Neurological</subject><subject>Myelin Sheath - physiology</subject><subject>Myelin Sheath - ultrastructure</subject><subject>Nerve Fibers - physiology</subject><subject>Neural Conduction - physiology</subject><subject>Neuroglia - physiology</subject><subject>Neurology</subject><subject>Neurons - physiology</subject><subject>Neurons - ultrastructure</subject><subject>Neurosciences</subject><subject>Temperature</subject><subject>Theory of Computation</subject><subject>Vertebrates - physiology</subject><issn>0929-5313</issn><issn>1573-6873</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkcFq3DAQhkVpabZpHyCXYuglF7cjybLl3EJImkCgl7RXMZZHjYNtbSU5ZN--MpuGEAj0JEb65h80H2NHHL5ygOZb5KBFUwJXJSglyoc3bMNVI8taN_It20Ar2lJJLg_YhxjvAEA3HN6zA6G0FC3IDft1c0sF3ftxSYOfC--KewqJuoCJCpz7YpifXUw7Gof5pMAi3ZIPlAaLY2H9tF0SrgG5imnpdx_ZO4djpE-P5yH7eXF-c3ZZXv_4fnV2el3aquGprKzrpEPthBBYK8Jado1yda96W9neYQcttegUOomdUggalZUdKdvVWkt5yI73udvg_ywUk5mGaGkccSa_RMPrDFUaZPU_KHAtOOcZ_fICvfNLyJ9bqSbvUEG9zuZ7ygYfYyBntmGYMOwMB7P6MXs_Jvsxqx_zkHs-PyYv3UT9U8c_IRkQeyDmp_k3hWejX039C45DnL0</recordid><startdate>20150601</startdate><enddate>20150601</enddate><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>20150601</creationdate><title>The evolution of vertebrate and invertebrate myelin: a theoretical computational study</title><author>Castelfranco, Ann M. ; Hartline, Daniel K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-4cfb3fa8f222a65ea63b75f6d5dc4cdfab09e9af5af3ab55a08a5c3be5cb68833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Algorithms</topic><topic>Animals</topic><topic>Axons - physiology</topic><topic>Axons - ultrastructure</topic><topic>Biological Evolution</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Computer Simulation</topic><topic>Human Genetics</topic><topic>Invertebrata</topic><topic>Invertebrates - physiology</topic><topic>Models, Neurological</topic><topic>Myelin Sheath - physiology</topic><topic>Myelin Sheath - ultrastructure</topic><topic>Nerve Fibers - physiology</topic><topic>Neural Conduction - physiology</topic><topic>Neuroglia - physiology</topic><topic>Neurology</topic><topic>Neurons - physiology</topic><topic>Neurons - ultrastructure</topic><topic>Neurosciences</topic><topic>Temperature</topic><topic>Theory of Computation</topic><topic>Vertebrates - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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</collection><collection>Natural Science Collection</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>ProQuest Psychology</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>Castelfranco, Ann M.</au><au>Hartline, Daniel K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The evolution of vertebrate and invertebrate myelin: a theoretical computational study</atitle><jtitle>Journal of computational neuroscience</jtitle><stitle>J Comput Neurosci</stitle><addtitle>J Comput Neurosci</addtitle><date>2015-06-01</date><risdate>2015</risdate><volume>38</volume><issue>3</issue><spage>521</spage><epage>538</epage><pages>521-538</pages><issn>0929-5313</issn><eissn>1573-6873</eissn><coden>JCNEFR</coden><abstract>Multilayered, lipid-rich myelin increases nerve impulse conduction velocity, contributes to compact nervous systems, and reduces metabolic costs of neural activity. Based on the hypothesis that increased impulse conduction velocity provides a selective advantage that drives the evolution of myelin, we simulated a sequence of plausible intermediate stages of myelin evolution, each of which providing an enhancement of conduction speed. We started with the expansion of insulating glial coverage, which led first to a single layer of myelin surrounding the axon and then to multiple myelin wraps with well-organized nodes. The myelinated fiber was modeled at three levels of complexity as the hypothesized evolutionary progression became more quantitatively exacting: 1) representing the fiber as a mathematically-tractable uniform active cylinder with the effect of myelination approximated by changing its specific capacitance (
C
m
); 2) representing it as a chain of simple, cable-model compartments having alternating nodal and internodal parameters subject to optimization, and 3) representing it in a double cable model with the axon and myelin sheath treated separately. Conduction velocity was optimized at each stage. To maintain optimal conduction velocities, increased myelin coverage of axonal surface must be accompanied by an increase in channel density at the evolving nodes, but along with increases in myelin thickness, a reduction in overall average channel density must occur. Leakage under the myelin sheath becomes more of a problem with smaller fiber diameters, which may help explain the tendency for myelin to occur preferentially in larger nerve fibers in both vertebrates and invertebrates.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>25832903</pmid><doi>10.1007/s10827-015-0552-x</doi><tpages>18</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0929-5313 |
ispartof | Journal of computational neuroscience, 2015-06, Vol.38 (3), p.521-538 |
issn | 0929-5313 1573-6873 |
language | eng |
recordid | cdi_proquest_miscellaneous_1683348034 |
source | MEDLINE; SpringerLink Journals |
subjects | Algorithms Animals Axons - physiology Axons - ultrastructure Biological Evolution Biomedical and Life Sciences Biomedicine Computer Simulation Human Genetics Invertebrata Invertebrates - physiology Models, Neurological Myelin Sheath - physiology Myelin Sheath - ultrastructure Nerve Fibers - physiology Neural Conduction - physiology Neuroglia - physiology Neurology Neurons - physiology Neurons - ultrastructure Neurosciences Temperature Theory of Computation Vertebrates - physiology |
title | The evolution of vertebrate and invertebrate myelin: a theoretical computational study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T15%3A42%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20evolution%20of%20vertebrate%20and%20invertebrate%20myelin:%20a%20theoretical%20computational%20study&rft.jtitle=Journal%20of%20computational%20neuroscience&rft.au=Castelfranco,%20Ann%20M.&rft.date=2015-06-01&rft.volume=38&rft.issue=3&rft.spage=521&rft.epage=538&rft.pages=521-538&rft.issn=0929-5313&rft.eissn=1573-6873&rft.coden=JCNEFR&rft_id=info:doi/10.1007/s10827-015-0552-x&rft_dat=%3Cproquest_cross%3E3675134531%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1678715063&rft_id=info:pmid/25832903&rfr_iscdi=true |