Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models

Autores
Timotius, Ivanna K.; Bieler, Lara; Couillard Despres, Sebastien; Sandner, Beatrice; Garcia Ovejero, Daniel; Labombarda, Maria Florencia; Estrada, Veronica; Müller, Hans W.; Winkler, Jürgen; Klucken, Jochen; Eskofier, Bjoern; Weidner, Norbert; Puttagunta, Radhika
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In many preclinical spinal cord injury (SCI) studies, assessment of locomotion recovery is key to understanding the effectiveness of the experimental intervention. In such rat SCI studies, the most basic locomotor recovery scoring system is a subjective observation of animals freely roaming in an open field, the Basso Beattie Bresnahan (BBB) score. In comparison, CatWalk is an automated gait analysis system, providing further parameter specifications. Although together the CatWalk parameters encompass gait, studies consistently report single parameters, which differ in significance from other behavioral assessments. Therefore, we believe no single parameter produced by the CatWalk can represent the fully-coordinated motion of gait. Typically, other locomotor assessments, such as the BBB score, combine several locomotor characteristics into a representative score. For this reason, we ranked the most distinctive CatWalk parameters between uninjured and SC injured rats. Subsequently, we combined nine of the topmost parameters into an SCI gait index score based on linear discriminant analysis (LDA). The resulting combination was applied to assess gait recovery in SCI experiments comprising of three thoracic contusions, a thoracic dorsal hemisection, and a cervical dorsal column lesion model. For thoracic lesions, our unbiased machine learning model revealed gait differences in lesion type and severity. In some instances, our LDA was found to be more sensitive in differentiating recovery than the BBB score alone. We believe the newly developed gait parameter combination presented here should be used in CatWalk gait recovery work with preclinical thoracic rat SCI models.
Fil: Timotius, Ivanna K.. Friedrich-Alexander-Universität Erlangen-Nürnberg; Alemania. Universitas Kristen Satya Wacana; Indonesia
Fil: Bieler, Lara. Paracelsus Medizinische Privatuniversitat; Austria
Fil: Couillard Despres, Sebastien. Paracelsus Medizinische Privatuniversitat; Austria
Fil: Sandner, Beatrice. Universitätsklinikum Heidelberg; Alemania
Fil: Garcia Ovejero, Daniel. Gobierno de Castilla-La Mancha. Hospital Nacional de Parapléjicos; España
Fil: Labombarda, Maria Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Bioquímica Humana; Argentina
Fil: Estrada, Veronica. Heinrich-Heine-Universität Düsseldorf; Alemania
Fil: Müller, Hans W.. Heinrich-Heine-Universität Düsseldorf; Alemania
Fil: Winkler, Jürgen. Friedrich-Alexander-Universität Erlangen-Nürnberg; Alemania
Fil: Klucken, Jochen. Friedrich-Alexander-Universität Erlangen-Nürnberg; Alemania
Fil: Eskofier, Bjoern. Friedrich-Alexander-Universität Erlangen-Nürnberg; Alemania
Fil: Weidner, Norbert. Universitätsklinikum Heidelberg; Alemania
Fil: Puttagunta, Radhika. Universitätsklinikum Heidelberg; Alemania
Materia
CATWALK
GAIT PARAMETER
LINEAR DISCRIMINANT ANALYSIS
LOCOMOTION RECOVERY
PRECLINICAL DEVELOPMENT
SPINAL CORD INJURY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/137291
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/137291
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat modelsTimotius, Ivanna K.Bieler, LaraCouillard Despres, SebastienSandner, BeatriceGarcia Ovejero, DanielLabombarda, Maria FlorenciaEstrada, VeronicaMüller, Hans W.Winkler, JürgenKlucken, JochenEskofier, BjoernWeidner, NorbertPuttagunta, RadhikaCATWALKGAIT PARAMETERLINEAR DISCRIMINANT ANALYSISLOCOMOTION RECOVERYPRECLINICAL DEVELOPMENTSPINAL CORD INJURYhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3In many preclinical spinal cord injury (SCI) studies, assessment of locomotion recovery is key to understanding the effectiveness of the experimental intervention. In such rat SCI studies, the most basic locomotor recovery scoring system is a subjective observation of animals freely roaming in an open field, the Basso Beattie Bresnahan (BBB) score. In comparison, CatWalk is an automated gait analysis system, providing further parameter specifications. Although together the CatWalk parameters encompass gait, studies consistently report single parameters, which differ in significance from other behavioral assessments. Therefore, we believe no single parameter produced by the CatWalk can represent the fully-coordinated motion of gait. Typically, other locomotor assessments, such as the BBB score, combine several locomotor characteristics into a representative score. For this reason, we ranked the most distinctive CatWalk parameters between uninjured and SC injured rats. Subsequently, we combined nine of the topmost parameters into an SCI gait index score based on linear discriminant analysis (LDA). The resulting combination was applied to assess gait recovery in SCI experiments comprising of three thoracic contusions, a thoracic dorsal hemisection, and a cervical dorsal column lesion model. For thoracic lesions, our unbiased machine learning model revealed gait differences in lesion type and severity. In some instances, our LDA was found to be more sensitive in differentiating recovery than the BBB score alone. We believe the newly developed gait parameter combination presented here should be used in CatWalk gait recovery work with preclinical thoracic rat SCI models.Fil: Timotius, Ivanna K.. Friedrich-Alexander-Universität Erlangen-Nürnberg; Alemania. Universitas Kristen Satya Wacana; IndonesiaFil: Bieler, Lara. Paracelsus Medizinische Privatuniversitat; AustriaFil: Couillard Despres, Sebastien. Paracelsus Medizinische Privatuniversitat; AustriaFil: Sandner, Beatrice. Universitätsklinikum Heidelberg; AlemaniaFil: Garcia Ovejero, Daniel. Gobierno de Castilla-La Mancha. Hospital Nacional de Parapléjicos; EspañaFil: Labombarda, Maria Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Bioquímica Humana; ArgentinaFil: Estrada, Veronica. Heinrich-Heine-Universität Düsseldorf; AlemaniaFil: Müller, Hans W.. Heinrich-Heine-Universität Düsseldorf; AlemaniaFil: Winkler, Jürgen. Friedrich-Alexander-Universität Erlangen-Nürnberg; AlemaniaFil: Klucken, Jochen. Friedrich-Alexander-Universität Erlangen-Nürnberg; AlemaniaFil: Eskofier, Bjoern. Friedrich-Alexander-Universität Erlangen-Nürnberg; AlemaniaFil: Weidner, Norbert. Universitätsklinikum Heidelberg; AlemaniaFil: Puttagunta, Radhika. Universitätsklinikum Heidelberg; AlemaniaSociety for Neuroscience2021-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/137291Timotius, Ivanna K.; Bieler, Lara; Couillard Despres, Sebastien; Sandner, Beatrice; Garcia Ovejero, Daniel; et al.; Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models; Society for Neuroscience; eNeuro; 8; 2; 3-2021; 1-142373-28222373-2822CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.eneuro.org/content/8/2/ENEURO.0497-20.2021.longinfo:eu-repo/semantics/altIdentifier/doi/10.1523/ENEURO.0497-20.2021info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:11:07Zoai:ri.conicet.gov.ar:11336/137291instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:11:07.889CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models
title Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models
spellingShingle Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models
Timotius, Ivanna K.
CATWALK
GAIT PARAMETER
LINEAR DISCRIMINANT ANALYSIS
LOCOMOTION RECOVERY
PRECLINICAL DEVELOPMENT
SPINAL CORD INJURY
title_short Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models
title_full Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models
title_fullStr Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models
title_full_unstemmed Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models
title_sort Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models
dc.creator.none.fl_str_mv Timotius, Ivanna K.
Bieler, Lara
Couillard Despres, Sebastien
Sandner, Beatrice
Garcia Ovejero, Daniel
Labombarda, Maria Florencia
Estrada, Veronica
Müller, Hans W.
Winkler, Jürgen
Klucken, Jochen
Eskofier, Bjoern
Weidner, Norbert
Puttagunta, Radhika
author Timotius, Ivanna K.
author_facet Timotius, Ivanna K.
Bieler, Lara
Couillard Despres, Sebastien
Sandner, Beatrice
Garcia Ovejero, Daniel
Labombarda, Maria Florencia
Estrada, Veronica
Müller, Hans W.
Winkler, Jürgen
Klucken, Jochen
Eskofier, Bjoern
Weidner, Norbert
Puttagunta, Radhika
author_role author
author2 Bieler, Lara
Couillard Despres, Sebastien
Sandner, Beatrice
Garcia Ovejero, Daniel
Labombarda, Maria Florencia
Estrada, Veronica
Müller, Hans W.
Winkler, Jürgen
Klucken, Jochen
Eskofier, Bjoern
Weidner, Norbert
Puttagunta, Radhika
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv CATWALK
GAIT PARAMETER
LINEAR DISCRIMINANT ANALYSIS
LOCOMOTION RECOVERY
PRECLINICAL DEVELOPMENT
SPINAL CORD INJURY
topic CATWALK
GAIT PARAMETER
LINEAR DISCRIMINANT ANALYSIS
LOCOMOTION RECOVERY
PRECLINICAL DEVELOPMENT
SPINAL CORD INJURY
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv In many preclinical spinal cord injury (SCI) studies, assessment of locomotion recovery is key to understanding the effectiveness of the experimental intervention. In such rat SCI studies, the most basic locomotor recovery scoring system is a subjective observation of animals freely roaming in an open field, the Basso Beattie Bresnahan (BBB) score. In comparison, CatWalk is an automated gait analysis system, providing further parameter specifications. Although together the CatWalk parameters encompass gait, studies consistently report single parameters, which differ in significance from other behavioral assessments. Therefore, we believe no single parameter produced by the CatWalk can represent the fully-coordinated motion of gait. Typically, other locomotor assessments, such as the BBB score, combine several locomotor characteristics into a representative score. For this reason, we ranked the most distinctive CatWalk parameters between uninjured and SC injured rats. Subsequently, we combined nine of the topmost parameters into an SCI gait index score based on linear discriminant analysis (LDA). The resulting combination was applied to assess gait recovery in SCI experiments comprising of three thoracic contusions, a thoracic dorsal hemisection, and a cervical dorsal column lesion model. For thoracic lesions, our unbiased machine learning model revealed gait differences in lesion type and severity. In some instances, our LDA was found to be more sensitive in differentiating recovery than the BBB score alone. We believe the newly developed gait parameter combination presented here should be used in CatWalk gait recovery work with preclinical thoracic rat SCI models.
Fil: Timotius, Ivanna K.. Friedrich-Alexander-Universität Erlangen-Nürnberg; Alemania. Universitas Kristen Satya Wacana; Indonesia
Fil: Bieler, Lara. Paracelsus Medizinische Privatuniversitat; Austria
Fil: Couillard Despres, Sebastien. Paracelsus Medizinische Privatuniversitat; Austria
Fil: Sandner, Beatrice. Universitätsklinikum Heidelberg; Alemania
Fil: Garcia Ovejero, Daniel. Gobierno de Castilla-La Mancha. Hospital Nacional de Parapléjicos; España
Fil: Labombarda, Maria Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Departamento de Bioquímica Humana; Argentina
Fil: Estrada, Veronica. Heinrich-Heine-Universität Düsseldorf; Alemania
Fil: Müller, Hans W.. Heinrich-Heine-Universität Düsseldorf; Alemania
Fil: Winkler, Jürgen. Friedrich-Alexander-Universität Erlangen-Nürnberg; Alemania
Fil: Klucken, Jochen. Friedrich-Alexander-Universität Erlangen-Nürnberg; Alemania
Fil: Eskofier, Bjoern. Friedrich-Alexander-Universität Erlangen-Nürnberg; Alemania
Fil: Weidner, Norbert. Universitätsklinikum Heidelberg; Alemania
Fil: Puttagunta, Radhika. Universitätsklinikum Heidelberg; Alemania
description In many preclinical spinal cord injury (SCI) studies, assessment of locomotion recovery is key to understanding the effectiveness of the experimental intervention. In such rat SCI studies, the most basic locomotor recovery scoring system is a subjective observation of animals freely roaming in an open field, the Basso Beattie Bresnahan (BBB) score. In comparison, CatWalk is an automated gait analysis system, providing further parameter specifications. Although together the CatWalk parameters encompass gait, studies consistently report single parameters, which differ in significance from other behavioral assessments. Therefore, we believe no single parameter produced by the CatWalk can represent the fully-coordinated motion of gait. Typically, other locomotor assessments, such as the BBB score, combine several locomotor characteristics into a representative score. For this reason, we ranked the most distinctive CatWalk parameters between uninjured and SC injured rats. Subsequently, we combined nine of the topmost parameters into an SCI gait index score based on linear discriminant analysis (LDA). The resulting combination was applied to assess gait recovery in SCI experiments comprising of three thoracic contusions, a thoracic dorsal hemisection, and a cervical dorsal column lesion model. For thoracic lesions, our unbiased machine learning model revealed gait differences in lesion type and severity. In some instances, our LDA was found to be more sensitive in differentiating recovery than the BBB score alone. We believe the newly developed gait parameter combination presented here should be used in CatWalk gait recovery work with preclinical thoracic rat SCI models.
publishDate 2021
dc.date.none.fl_str_mv 2021-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/137291
Timotius, Ivanna K.; Bieler, Lara; Couillard Despres, Sebastien; Sandner, Beatrice; Garcia Ovejero, Daniel; et al.; Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models; Society for Neuroscience; eNeuro; 8; 2; 3-2021; 1-14
2373-2822
2373-2822
CONICET Digital
CONICET
url http://hdl.handle.net/11336/137291
identifier_str_mv Timotius, Ivanna K.; Bieler, Lara; Couillard Despres, Sebastien; Sandner, Beatrice; Garcia Ovejero, Daniel; et al.; Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models; Society for Neuroscience; eNeuro; 8; 2; 3-2021; 1-14
2373-2822
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.eneuro.org/content/8/2/ENEURO.0497-20.2021.long
info:eu-repo/semantics/altIdentifier/doi/10.1523/ENEURO.0497-20.2021
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Society for Neuroscience
publisher.none.fl_str_mv Society for Neuroscience
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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