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The Open Source GAITOR Suite for Rodent Gait Analysis

Locomotive changes are often associated with disease or injury, and these changes can be quantified through gait analysis. Gait analysis has been applied to preclinical studies, providing quantitative behavioural assessment with a reasonable clinical analogue. However, available gait analysis techno...

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Autores principales: Jacobs, Brittany Y., Lakes, Emily H., Reiter, Alex J., Lake, Spencer P., Ham, Trevor R., Leipzig, Nic D., Porvasnik, Stacy L., Schmidt, Christine E., Wachs, Rebecca A., Allen, Kyle D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023937/
https://www.ncbi.nlm.nih.gov/pubmed/29955094
http://dx.doi.org/10.1038/s41598-018-28134-1
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author Jacobs, Brittany Y.
Lakes, Emily H.
Reiter, Alex J.
Lake, Spencer P.
Ham, Trevor R.
Leipzig, Nic D.
Porvasnik, Stacy L.
Schmidt, Christine E.
Wachs, Rebecca A.
Allen, Kyle D.
author_facet Jacobs, Brittany Y.
Lakes, Emily H.
Reiter, Alex J.
Lake, Spencer P.
Ham, Trevor R.
Leipzig, Nic D.
Porvasnik, Stacy L.
Schmidt, Christine E.
Wachs, Rebecca A.
Allen, Kyle D.
author_sort Jacobs, Brittany Y.
collection PubMed
description Locomotive changes are often associated with disease or injury, and these changes can be quantified through gait analysis. Gait analysis has been applied to preclinical studies, providing quantitative behavioural assessment with a reasonable clinical analogue. However, available gait analysis technology for small animals is somewhat limited. Furthermore, technological and analytical challenges can limit the effectiveness of preclinical gait analysis. The Gait Analysis Instrumentation and Technology Optimized for Rodents (GAITOR) Suite is designed to increase the accessibility of preclinical gait analysis to researchers, facilitating hardware and software customization for broad applications. Here, the GAITOR Suite’s utility is demonstrated in 4 models: a monoiodoacetate (MIA) injection model of joint pain, a sciatic nerve injury model, an elbow joint contracture model, and a spinal cord injury model. The GAITOR Suite identified unique compensatory gait patterns in each model, demonstrating the software’s utility for detecting gait changes in rodent models of highly disparate injuries and diseases. Robust gait analysis may improve preclinical model selection, disease sequelae assessment, and evaluation of potential therapeutics. Our group has provided the GAITOR Suite as an open resource to the research community at www.GAITOR.org, aiming to promote and improve the implementation of gait analysis in preclinical rodent models.
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spelling pubmed-60239372018-07-06 The Open Source GAITOR Suite for Rodent Gait Analysis Jacobs, Brittany Y. Lakes, Emily H. Reiter, Alex J. Lake, Spencer P. Ham, Trevor R. Leipzig, Nic D. Porvasnik, Stacy L. Schmidt, Christine E. Wachs, Rebecca A. Allen, Kyle D. Sci Rep Article Locomotive changes are often associated with disease or injury, and these changes can be quantified through gait analysis. Gait analysis has been applied to preclinical studies, providing quantitative behavioural assessment with a reasonable clinical analogue. However, available gait analysis technology for small animals is somewhat limited. Furthermore, technological and analytical challenges can limit the effectiveness of preclinical gait analysis. The Gait Analysis Instrumentation and Technology Optimized for Rodents (GAITOR) Suite is designed to increase the accessibility of preclinical gait analysis to researchers, facilitating hardware and software customization for broad applications. Here, the GAITOR Suite’s utility is demonstrated in 4 models: a monoiodoacetate (MIA) injection model of joint pain, a sciatic nerve injury model, an elbow joint contracture model, and a spinal cord injury model. The GAITOR Suite identified unique compensatory gait patterns in each model, demonstrating the software’s utility for detecting gait changes in rodent models of highly disparate injuries and diseases. Robust gait analysis may improve preclinical model selection, disease sequelae assessment, and evaluation of potential therapeutics. Our group has provided the GAITOR Suite as an open resource to the research community at www.GAITOR.org, aiming to promote and improve the implementation of gait analysis in preclinical rodent models. Nature Publishing Group UK 2018-06-28 /pmc/articles/PMC6023937/ /pubmed/29955094 http://dx.doi.org/10.1038/s41598-018-28134-1 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jacobs, Brittany Y.
Lakes, Emily H.
Reiter, Alex J.
Lake, Spencer P.
Ham, Trevor R.
Leipzig, Nic D.
Porvasnik, Stacy L.
Schmidt, Christine E.
Wachs, Rebecca A.
Allen, Kyle D.
The Open Source GAITOR Suite for Rodent Gait Analysis
title The Open Source GAITOR Suite for Rodent Gait Analysis
title_full The Open Source GAITOR Suite for Rodent Gait Analysis
title_fullStr The Open Source GAITOR Suite for Rodent Gait Analysis
title_full_unstemmed The Open Source GAITOR Suite for Rodent Gait Analysis
title_short The Open Source GAITOR Suite for Rodent Gait Analysis
title_sort open source gaitor suite for rodent gait analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023937/
https://www.ncbi.nlm.nih.gov/pubmed/29955094
http://dx.doi.org/10.1038/s41598-018-28134-1
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