Modifying motor unit territory placement in the Fuglevand model
The Fuglevand model is often used to address challenging questions in neurophysiology; however, there are elements of the neuromuscular system unaccounted for in the model. For instance, in some muscles, slow and fast motor units (MUs) tend to reside deep and superficially in the muscle, respectivel...
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description | The Fuglevand model is often used to address challenging questions in neurophysiology; however, there are elements of the neuromuscular system unaccounted for in the model. For instance, in some muscles, slow and fast motor units (MUs) tend to reside deep and superficially in the muscle, respectively, necessarily altering the development of surface electromyogram (EMG) power during activation. Thus, the objective of this study was to replace the randomized MU territory (MUT) placement algorithm in the Fuglevand model with an optimized method capable of reflecting these observations. To accomplish this, a weighting term was added to a previously developed optimization algorithm to encourage regionalized MUT placement. The weighting term consequently produced significantly different muscle fibre type content in the deep and superficial portions of the muscle. The relation between simulated EMG and muscle force was found to be significantly affected by regionalization. These changes were specifically a function of EMG power, as force was unaffected by regionalization. These findings suggest that parameterizing MUT regionalization will allow the model to produce a larger variety of EMG–force relations, as is observed physiologically, and could potentially simulate the loss of specific MU types as observed in ageing and clinical populations. |
doi_str_mv | 10.1007/s11517-017-1645-7 |
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For instance, in some muscles, slow and fast motor units (MUs) tend to reside deep and superficially in the muscle, respectively, necessarily altering the development of surface electromyogram (EMG) power during activation. Thus, the objective of this study was to replace the randomized MU territory (MUT) placement algorithm in the Fuglevand model with an optimized method capable of reflecting these observations. To accomplish this, a weighting term was added to a previously developed optimization algorithm to encourage regionalized MUT placement. The weighting term consequently produced significantly different muscle fibre type content in the deep and superficial portions of the muscle. The relation between simulated EMG and muscle force was found to be significantly affected by regionalization. These changes were specifically a function of EMG power, as force was unaffected by regionalization. These findings suggest that parameterizing MUT regionalization will allow the model to produce a larger variety of EMG–force relations, as is observed physiologically, and could potentially simulate the loss of specific MU types as observed in ageing and clinical populations.</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/s11517-017-1645-7</identifier><identifier>PMID: 28390003</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithms ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Computer Applications ; Computer Simulation ; Electromyography ; Electromyography - methods ; Human Physiology ; Humans ; Imaging ; Motor Neurons - physiology ; Motor units ; Muscle Contraction - physiology ; Muscle Fibers, Skeletal - physiology ; Muscles ; Neuromuscular system ; Neurophysiology ; Optimization ; Original Article ; Placement ; Radiology ; Territory ; Weighting</subject><ispartof>Medical & biological engineering & computing, 2017-11, Vol.55 (11), p.2015-2025</ispartof><rights>International Federation for Medical and Biological Engineering 2017</rights><rights>Medical & Biological Engineering & Computing is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-590cb4c25ef13892d010afc6952c382c7c555b2c350403e42666eb4b4033e7643</citedby><cites>FETCH-LOGICAL-c372t-590cb4c25ef13892d010afc6952c382c7c555b2c350403e42666eb4b4033e7643</cites><orcidid>0000-0003-0579-0403</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11517-017-1645-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11517-017-1645-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28390003$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Robertson, Jason W.</creatorcontrib><creatorcontrib>Johnston, Jamie A.</creatorcontrib><title>Modifying motor unit territory placement in the Fuglevand model</title><title>Medical & biological engineering & computing</title><addtitle>Med Biol Eng Comput</addtitle><addtitle>Med Biol Eng Comput</addtitle><description>The Fuglevand model is often used to address challenging questions in neurophysiology; however, there are elements of the neuromuscular system unaccounted for in the model. For instance, in some muscles, slow and fast motor units (MUs) tend to reside deep and superficially in the muscle, respectively, necessarily altering the development of surface electromyogram (EMG) power during activation. Thus, the objective of this study was to replace the randomized MU territory (MUT) placement algorithm in the Fuglevand model with an optimized method capable of reflecting these observations. To accomplish this, a weighting term was added to a previously developed optimization algorithm to encourage regionalized MUT placement. The weighting term consequently produced significantly different muscle fibre type content in the deep and superficial portions of the muscle. The relation between simulated EMG and muscle force was found to be significantly affected by regionalization. These changes were specifically a function of EMG power, as force was unaffected by regionalization. These findings suggest that parameterizing MUT regionalization will allow the model to produce a larger variety of EMG–force relations, as is observed physiologically, and could potentially simulate the loss of specific MU types as observed in ageing and clinical populations.</description><subject>Algorithms</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Computer Applications</subject><subject>Computer Simulation</subject><subject>Electromyography</subject><subject>Electromyography - methods</subject><subject>Human Physiology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Motor Neurons - physiology</subject><subject>Motor units</subject><subject>Muscle Contraction - physiology</subject><subject>Muscle Fibers, Skeletal - physiology</subject><subject>Muscles</subject><subject>Neuromuscular system</subject><subject>Neurophysiology</subject><subject>Optimization</subject><subject>Original Article</subject><subject>Placement</subject><subject>Radiology</subject><subject>Territory</subject><subject>Weighting</subject><issn>0140-0118</issn><issn>1741-0444</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kE1LxDAQhoMo7vrxA7xIwYuX6kw-mvYkIq4Kihc9hzadrpV-rEkr7L83S1cRwUNIhnnmnfAwdoJwgQD60iMq1DGEg4lUsd5hc9QSY5BS7rI5oITQxXTGDrx_B-CouNxnM56KDADEnF099WVdretuGbX90Lto7OohGsi5OlTraNXkllrqhqjuouGNosW4bOgz78rAl9Qcsb0qbzwdb-9D9rq4fbm5jx-f7x5urh9jKzQfYpWBLaTliioUacZLQMgrm2SKW5Fyq61SqghvBRIESZ4kCRWyCIUgnUhxyM6n3JXrP0byg2lrb6lp8o760RtMU5UpyIQI6Nkf9L0fXRd-ZzBTwVgm9SYQJ8q63ntHlVm5us3d2iCYjV0z2TXBrtnYNTrMnG6Tx6Kl8mfiW2cA-AT40OqW5H6t_jf1CzvKgnU</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Robertson, Jason W.</creator><creator>Johnston, Jamie A.</creator><general>Springer Berlin Heidelberg</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>7RV</scope><scope>7SC</scope><scope>7TB</scope><scope>7TS</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AL</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>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0579-0403</orcidid></search><sort><creationdate>20171101</creationdate><title>Modifying motor unit territory placement in the Fuglevand model</title><author>Robertson, Jason W. ; Johnston, Jamie A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-590cb4c25ef13892d010afc6952c382c7c555b2c350403e42666eb4b4033e7643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biomedicine</topic><topic>Computer Applications</topic><topic>Computer Simulation</topic><topic>Electromyography</topic><topic>Electromyography - methods</topic><topic>Human Physiology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Motor Neurons - physiology</topic><topic>Motor units</topic><topic>Muscle Contraction - physiology</topic><topic>Muscle Fibers, Skeletal - physiology</topic><topic>Muscles</topic><topic>Neuromuscular system</topic><topic>Neurophysiology</topic><topic>Optimization</topic><topic>Original Article</topic><topic>Placement</topic><topic>Radiology</topic><topic>Territory</topic><topic>Weighting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Robertson, Jason W.</creatorcontrib><creatorcontrib>Johnston, Jamie A.</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>Nursing & Allied Health Database</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Physical Education Index</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</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>ABI/INFORM Collection (Alumni Edition)</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>Business Premium Collection</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>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</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>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Medical & biological engineering & computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Robertson, Jason W.</au><au>Johnston, Jamie A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modifying motor unit territory placement in the Fuglevand model</atitle><jtitle>Medical & biological engineering & computing</jtitle><stitle>Med Biol Eng Comput</stitle><addtitle>Med Biol Eng Comput</addtitle><date>2017-11-01</date><risdate>2017</risdate><volume>55</volume><issue>11</issue><spage>2015</spage><epage>2025</epage><pages>2015-2025</pages><issn>0140-0118</issn><eissn>1741-0444</eissn><abstract>The Fuglevand model is often used to address challenging questions in neurophysiology; however, there are elements of the neuromuscular system unaccounted for in the model. For instance, in some muscles, slow and fast motor units (MUs) tend to reside deep and superficially in the muscle, respectively, necessarily altering the development of surface electromyogram (EMG) power during activation. Thus, the objective of this study was to replace the randomized MU territory (MUT) placement algorithm in the Fuglevand model with an optimized method capable of reflecting these observations. To accomplish this, a weighting term was added to a previously developed optimization algorithm to encourage regionalized MUT placement. The weighting term consequently produced significantly different muscle fibre type content in the deep and superficial portions of the muscle. The relation between simulated EMG and muscle force was found to be significantly affected by regionalization. These changes were specifically a function of EMG power, as force was unaffected by regionalization. These findings suggest that parameterizing MUT regionalization will allow the model to produce a larger variety of EMG–force relations, as is observed physiologically, and could potentially simulate the loss of specific MU types as observed in ageing and clinical populations.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>28390003</pmid><doi>10.1007/s11517-017-1645-7</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-0579-0403</orcidid></addata></record> |
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subjects | Algorithms Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Computer Applications Computer Simulation Electromyography Electromyography - methods Human Physiology Humans Imaging Motor Neurons - physiology Motor units Muscle Contraction - physiology Muscle Fibers, Skeletal - physiology Muscles Neuromuscular system Neurophysiology Optimization Original Article Placement Radiology Territory Weighting |
title | Modifying motor unit territory placement in the Fuglevand model |
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