Motor unit number estimation: A technology and literature review
ABSTRACT Introduction: Numerous methods for motor unit number estimation (MUNE) have been developed. The objective of this article is to summarize and compare the major methods and the available data regarding their reproducibility, validity, application, refinement, and utility. Methods: Using spec...
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| Veröffentlicht in: | Muscle & nerve 2014-12, Vol.50 (6), p.884-893 |
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| creator | Gooch, Clifton L. Doherty, Timothy J. Chan, K. Ming Bromberg, Mark B. Lewis, Richard A. Stashuk, Dan W. Berger, Michael J. Andary, Michael T. Daube, Jasper R. |
| description | ABSTRACT
Introduction: Numerous methods for motor unit number estimation (MUNE) have been developed. The objective of this article is to summarize and compare the major methods and the available data regarding their reproducibility, validity, application, refinement, and utility. Methods: Using specified search criteria, a systematic review of the literature was performed. Reproducibility, normative data, application to specific diseases and conditions, technical refinements, and practicality were compiled into a comprehensive database and analyzed. Results: The most commonly reported MUNE methods are the incremental, multiple‐point stimulation, spike‐triggered averaging, and statistical methods. All have established normative data sets and high reproducibility. MUNE provides quantitative assessments of motor neuron loss and has been applied successfully to the study of many clinical conditions, including amyotrophic lateral sclerosis and normal aging. Conclusions: MUNE is an important research technique in human subjects, providing important data regarding motor unit populations and motor unit loss over time. Muscle Nerve 50: 884–893, 2014 |
| doi_str_mv | 10.1002/mus.24442 |
| format | Article |
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Introduction: Numerous methods for motor unit number estimation (MUNE) have been developed. The objective of this article is to summarize and compare the major methods and the available data regarding their reproducibility, validity, application, refinement, and utility. Methods: Using specified search criteria, a systematic review of the literature was performed. Reproducibility, normative data, application to specific diseases and conditions, technical refinements, and practicality were compiled into a comprehensive database and analyzed. Results: The most commonly reported MUNE methods are the incremental, multiple‐point stimulation, spike‐triggered averaging, and statistical methods. All have established normative data sets and high reproducibility. MUNE provides quantitative assessments of motor neuron loss and has been applied successfully to the study of many clinical conditions, including amyotrophic lateral sclerosis and normal aging. Conclusions: MUNE is an important research technique in human subjects, providing important data regarding motor unit populations and motor unit loss over time. Muscle Nerve 50: 884–893, 2014</description><identifier>ISSN: 0148-639X</identifier><identifier>EISSN: 1097-4598</identifier><identifier>DOI: 10.1002/mus.24442</identifier><identifier>PMID: 25186553</identifier><identifier>CODEN: MUNEDE</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Action Potentials - physiology ; aging ; Amyotrophic lateral sclerosis ; Biomedical Research - methods ; Cell Count - methods ; compound muscle action potential ; Electric Stimulation ; Electrophysiology - methods ; Humans ; Literature reviews ; Motor Neurons - cytology ; Motor Neurons - physiology ; motor unit ; motor unit number estimation ; Neural Conduction - physiology ; Reproducibility of Results</subject><ispartof>Muscle & nerve, 2014-12, Vol.50 (6), p.884-893</ispartof><rights>2014 American Association of Neuromuscular and Electrodiagnostic Medicine</rights><rights>2014 American Association of Neuromuscular and Electrodiagnostic Medicine.</rights><rights>2014 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4902-b1bf9cdbd37ca8e5cf2999d6602ecccbc1f1a6edab7be06fa4bc85240bb804d63</citedby><cites>FETCH-LOGICAL-c4902-b1bf9cdbd37ca8e5cf2999d6602ecccbc1f1a6edab7be06fa4bc85240bb804d63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fmus.24442$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fmus.24442$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27929,27930,45579,45580</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25186553$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gooch, Clifton L.</creatorcontrib><creatorcontrib>Doherty, Timothy J.</creatorcontrib><creatorcontrib>Chan, K. Ming</creatorcontrib><creatorcontrib>Bromberg, Mark B.</creatorcontrib><creatorcontrib>Lewis, Richard A.</creatorcontrib><creatorcontrib>Stashuk, Dan W.</creatorcontrib><creatorcontrib>Berger, Michael J.</creatorcontrib><creatorcontrib>Andary, Michael T.</creatorcontrib><creatorcontrib>Daube, Jasper R.</creatorcontrib><title>Motor unit number estimation: A technology and literature review</title><title>Muscle & nerve</title><addtitle>Muscle Nerve</addtitle><description>ABSTRACT
Introduction: Numerous methods for motor unit number estimation (MUNE) have been developed. The objective of this article is to summarize and compare the major methods and the available data regarding their reproducibility, validity, application, refinement, and utility. Methods: Using specified search criteria, a systematic review of the literature was performed. Reproducibility, normative data, application to specific diseases and conditions, technical refinements, and practicality were compiled into a comprehensive database and analyzed. Results: The most commonly reported MUNE methods are the incremental, multiple‐point stimulation, spike‐triggered averaging, and statistical methods. All have established normative data sets and high reproducibility. MUNE provides quantitative assessments of motor neuron loss and has been applied successfully to the study of many clinical conditions, including amyotrophic lateral sclerosis and normal aging. Conclusions: MUNE is an important research technique in human subjects, providing important data regarding motor unit populations and motor unit loss over time. Muscle Nerve 50: 884–893, 2014</description><subject>Action Potentials - physiology</subject><subject>aging</subject><subject>Amyotrophic lateral sclerosis</subject><subject>Biomedical Research - methods</subject><subject>Cell Count - methods</subject><subject>compound muscle action potential</subject><subject>Electric Stimulation</subject><subject>Electrophysiology - methods</subject><subject>Humans</subject><subject>Literature reviews</subject><subject>Motor Neurons - cytology</subject><subject>Motor Neurons - physiology</subject><subject>motor unit</subject><subject>motor unit number estimation</subject><subject>Neural Conduction - physiology</subject><subject>Reproducibility of Results</subject><issn>0148-639X</issn><issn>1097-4598</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqN0U1PFTEUBuDGaOSCLPwDZBI3uhhoO_10JQFEyEUlQHDXtJ0zODAzxXZGuP-ewgUWJCau2sVz3rTnReg9wZsEY7rVT2mTMsboKzQjWMuSca1eoxkmTJWi0r9W0GpKlxhjooR8i1YozxfOqxn6chTGEItpaMdimHoHsYA0tr0d2zB8LraLEfzvIXThYlHYoS66doRoxylCEeFvCzfv0JvGdgnWH881dPZ173TnWzn_sX-wsz0vPdOYlo64Rvva1ZX0VgH3DdVa10JgCt5750lDrIDaOukAi8Yy5xWnDDunMKtFtYY-LnOvY_gz5Teavk0eus4OEKZkiNBMK064-g9KJZYVUyTTDy_oZZjikD9yr4QknGKd1ael8jGkFKEx1zGvKC4Mwea-AZMbMA8NZLvxmDi5Hupn-bTyDLaW4KbtYPHvJHN0dvIUWS4n2jTC7fOEjVdGyEpyc_5939DD459zvntqdqs7TVOfDQ</recordid><startdate>201412</startdate><enddate>201412</enddate><creator>Gooch, Clifton L.</creator><creator>Doherty, Timothy J.</creator><creator>Chan, K. 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Ming</creatorcontrib><creatorcontrib>Bromberg, Mark B.</creatorcontrib><creatorcontrib>Lewis, Richard A.</creatorcontrib><creatorcontrib>Stashuk, Dan W.</creatorcontrib><creatorcontrib>Berger, Michael J.</creatorcontrib><creatorcontrib>Andary, Michael T.</creatorcontrib><creatorcontrib>Daube, Jasper R.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Muscle & nerve</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gooch, Clifton L.</au><au>Doherty, Timothy J.</au><au>Chan, K. Ming</au><au>Bromberg, Mark B.</au><au>Lewis, Richard A.</au><au>Stashuk, Dan W.</au><au>Berger, Michael J.</au><au>Andary, Michael T.</au><au>Daube, Jasper R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Motor unit number estimation: A technology and literature review</atitle><jtitle>Muscle & nerve</jtitle><addtitle>Muscle Nerve</addtitle><date>2014-12</date><risdate>2014</risdate><volume>50</volume><issue>6</issue><spage>884</spage><epage>893</epage><pages>884-893</pages><issn>0148-639X</issn><eissn>1097-4598</eissn><coden>MUNEDE</coden><abstract>ABSTRACT
Introduction: Numerous methods for motor unit number estimation (MUNE) have been developed. The objective of this article is to summarize and compare the major methods and the available data regarding their reproducibility, validity, application, refinement, and utility. Methods: Using specified search criteria, a systematic review of the literature was performed. Reproducibility, normative data, application to specific diseases and conditions, technical refinements, and practicality were compiled into a comprehensive database and analyzed. Results: The most commonly reported MUNE methods are the incremental, multiple‐point stimulation, spike‐triggered averaging, and statistical methods. All have established normative data sets and high reproducibility. MUNE provides quantitative assessments of motor neuron loss and has been applied successfully to the study of many clinical conditions, including amyotrophic lateral sclerosis and normal aging. Conclusions: MUNE is an important research technique in human subjects, providing important data regarding motor unit populations and motor unit loss over time. Muscle Nerve 50: 884–893, 2014</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>25186553</pmid><doi>10.1002/mus.24442</doi><tpages>10</tpages></addata></record> |
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| subjects | Action Potentials - physiology aging Amyotrophic lateral sclerosis Biomedical Research - methods Cell Count - methods compound muscle action potential Electric Stimulation Electrophysiology - methods Humans Literature reviews Motor Neurons - cytology Motor Neurons - physiology motor unit motor unit number estimation Neural Conduction - physiology Reproducibility of Results |
| title | Motor unit number estimation: A technology and literature review |
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