Quantification of gait parameters in freely walking rodents
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.1186/s12915-015-0154-0 |
Resumo: | Background: Qualitative and quantitative measurements of motor performance are essential for characterizing perturbations of motor systems. Although several methods exist for analyzing specific motor tasks, few behavioral assays are readily available to researchers that provide a complete set of kinematic parameters in rodents. Results: Here we present MouseWalker, an integrated hardware and software system that provides a comprehensive and quantitative description of kinematic features in freely walking rodents. Footprints are visualized with high spatial and temporal resolution by a non-invasive optical touch sensor coupled to high-speed imaging. A freely available and open-source software package tracks footprints and body features to generate a comprehensive description of many locomotion features, including static parameters such as footprint position and stance patterns and dynamic parameters, such as step and swing cycle duration, and inter-leg coordination. Using this method, we describe walking by wild-type mice including several previously undescribed parameters. For example, we demonstrate that footprint touchdown occurs instantaneously by the entire paw with no obvious rostral-caudal or lateral-medial bias. Conclusions: The readily available MouseWalker system and the large set of readouts it generates greatly increases the currently available toolkit for the analysis of wild type and aberrant locomotion in rodents. |
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Quantification of gait parameters in freely walking rodentsBiotechnologyStructural BiologyPhysiologyEcology, Evolution, Behavior and SystematicsBiochemistry, Genetics and Molecular Biology(all)Agricultural and Biological Sciences(all)Plant ScienceDevelopmental BiologyCell BiologyBackground: Qualitative and quantitative measurements of motor performance are essential for characterizing perturbations of motor systems. Although several methods exist for analyzing specific motor tasks, few behavioral assays are readily available to researchers that provide a complete set of kinematic parameters in rodents. Results: Here we present MouseWalker, an integrated hardware and software system that provides a comprehensive and quantitative description of kinematic features in freely walking rodents. Footprints are visualized with high spatial and temporal resolution by a non-invasive optical touch sensor coupled to high-speed imaging. A freely available and open-source software package tracks footprints and body features to generate a comprehensive description of many locomotion features, including static parameters such as footprint position and stance patterns and dynamic parameters, such as step and swing cycle duration, and inter-leg coordination. Using this method, we describe walking by wild-type mice including several previously undescribed parameters. For example, we demonstrate that footprint touchdown occurs instantaneously by the entire paw with no obvious rostral-caudal or lateral-medial bias. Conclusions: The readily available MouseWalker system and the large set of readouts it generates greatly increases the currently available toolkit for the analysis of wild type and aberrant locomotion in rodents.Centro de Estudos de Doenças Crónicas (CEDOC)NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNMendes, César S.Bartos, ImreMárka, ZsuzsannaAkay, TurgayMárka, SzabolcsMann, Richard S.2017-10-18T22:02:36Z2015-07-222015-07-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article11application/pdfhttps://doi.org/10.1186/s12915-015-0154-0eng1741-7007PURE: 3223002http://www.scopus.com/inward/record.url?scp=84937720982&partnerID=8YFLogxKhttps://doi.org/10.1186/s12915-015-0154-0info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:12:36Zoai:run.unl.pt:10362/24316Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:28:01.644429Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Quantification of gait parameters in freely walking rodents |
title |
Quantification of gait parameters in freely walking rodents |
spellingShingle |
Quantification of gait parameters in freely walking rodents Mendes, César S. Biotechnology Structural Biology Physiology Ecology, Evolution, Behavior and Systematics Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Plant Science Developmental Biology Cell Biology |
title_short |
Quantification of gait parameters in freely walking rodents |
title_full |
Quantification of gait parameters in freely walking rodents |
title_fullStr |
Quantification of gait parameters in freely walking rodents |
title_full_unstemmed |
Quantification of gait parameters in freely walking rodents |
title_sort |
Quantification of gait parameters in freely walking rodents |
author |
Mendes, César S. |
author_facet |
Mendes, César S. Bartos, Imre Márka, Zsuzsanna Akay, Turgay Márka, Szabolcs Mann, Richard S. |
author_role |
author |
author2 |
Bartos, Imre Márka, Zsuzsanna Akay, Turgay Márka, Szabolcs Mann, Richard S. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Centro de Estudos de Doenças Crónicas (CEDOC) NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) RUN |
dc.contributor.author.fl_str_mv |
Mendes, César S. Bartos, Imre Márka, Zsuzsanna Akay, Turgay Márka, Szabolcs Mann, Richard S. |
dc.subject.por.fl_str_mv |
Biotechnology Structural Biology Physiology Ecology, Evolution, Behavior and Systematics Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Plant Science Developmental Biology Cell Biology |
topic |
Biotechnology Structural Biology Physiology Ecology, Evolution, Behavior and Systematics Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Plant Science Developmental Biology Cell Biology |
description |
Background: Qualitative and quantitative measurements of motor performance are essential for characterizing perturbations of motor systems. Although several methods exist for analyzing specific motor tasks, few behavioral assays are readily available to researchers that provide a complete set of kinematic parameters in rodents. Results: Here we present MouseWalker, an integrated hardware and software system that provides a comprehensive and quantitative description of kinematic features in freely walking rodents. Footprints are visualized with high spatial and temporal resolution by a non-invasive optical touch sensor coupled to high-speed imaging. A freely available and open-source software package tracks footprints and body features to generate a comprehensive description of many locomotion features, including static parameters such as footprint position and stance patterns and dynamic parameters, such as step and swing cycle duration, and inter-leg coordination. Using this method, we describe walking by wild-type mice including several previously undescribed parameters. For example, we demonstrate that footprint touchdown occurs instantaneously by the entire paw with no obvious rostral-caudal or lateral-medial bias. Conclusions: The readily available MouseWalker system and the large set of readouts it generates greatly increases the currently available toolkit for the analysis of wild type and aberrant locomotion in rodents. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-07-22 2015-07-22T00:00:00Z 2017-10-18T22:02:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.1186/s12915-015-0154-0 |
url |
https://doi.org/10.1186/s12915-015-0154-0 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1741-7007 PURE: 3223002 http://www.scopus.com/inward/record.url?scp=84937720982&partnerID=8YFLogxK https://doi.org/10.1186/s12915-015-0154-0 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
11 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137907142819840 |