Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait

Autores
Merello, Marcelo Jorge; Ballesteros, Diego; Rossi, Malco Damian; Arena, Julieta; Crespo, Marcos Jose; Cervio, Andres Eduardo; Cuello Oderiz, Carolina; Rivero, Alberto; Cerquetti, Daniel; Risk, Marcelo; Balej, Jorge
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fluctuation is a common feature of all psychogenic gait disorder (PGD) patterns. Whether this fluctuation involves only the degree of impairment or whether it affects the gait pattern itself remains an interesting question. We hypothesize that, on repeated measurements, both normal and abnormal gait may present quantitative differences while maintaining their basic underlying pattern; conversely, in psychogenic gait, the basic pattern appears not to be preserved. Using an optoelectronic system, data acquired from 19 normal subjects and 66 patients were applied to train a neural network (NN) and subsequently classify gait patterns into four different groups (normal, ataxic, spastic-paraparetic and parkinsonian). Five patients who fulfilled clinical criteria for psychogenic gait and six controls were then prospectively evaluated on two separate occasions, three months apart. Normal controls and ataxic, parkinsonian or spastic patients were correctly identified by the NN, and categorized within the corresponding groups at baseline as well as at a three-month follow-up evaluation. NN analysis showed that after three months, no PGD patient preserved the gait pattern detected at baseline, even though this finding was not clinically apparent. Modification of gait pattern detected by repeated kinematic measurement and NN analysis could suggest the presence of PGD, particularly in difficult-to-diagnose cases.
Fil: Merello, Marcelo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Ballesteros, Diego. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Rossi, Malco Damian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Arena, Julieta. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Crespo, Marcos Jose. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Cervio, Andres Eduardo. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Cuello Oderiz, Carolina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Rivero, Alberto. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Cerquetti, Daniel. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Risk, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Tecnológico de Buenos Aires. Fac de Ingeniería; Argentina
Fil: Balej, Jorge. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Materia
GAIT ANALYSIS
PARKINSON
NEURAL NETWORK
PSYCHOGENIC GAIT
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/269376
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/269376
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gaitMerello, Marcelo JorgeBallesteros, DiegoRossi, Malco DamianArena, JulietaCrespo, Marcos JoseCervio, Andres EduardoCuello Oderiz, CarolinaRivero, AlbertoCerquetti, DanielRisk, MarceloBalej, JorgeGAIT ANALYSISPARKINSONNEURAL NETWORKPSYCHOGENIC GAIThttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Fluctuation is a common feature of all psychogenic gait disorder (PGD) patterns. Whether this fluctuation involves only the degree of impairment or whether it affects the gait pattern itself remains an interesting question. We hypothesize that, on repeated measurements, both normal and abnormal gait may present quantitative differences while maintaining their basic underlying pattern; conversely, in psychogenic gait, the basic pattern appears not to be preserved. Using an optoelectronic system, data acquired from 19 normal subjects and 66 patients were applied to train a neural network (NN) and subsequently classify gait patterns into four different groups (normal, ataxic, spastic-paraparetic and parkinsonian). Five patients who fulfilled clinical criteria for psychogenic gait and six controls were then prospectively evaluated on two separate occasions, three months apart. Normal controls and ataxic, parkinsonian or spastic patients were correctly identified by the NN, and categorized within the corresponding groups at baseline as well as at a three-month follow-up evaluation. NN analysis showed that after three months, no PGD patient preserved the gait pattern detected at baseline, even though this finding was not clinically apparent. Modification of gait pattern detected by repeated kinematic measurement and NN analysis could suggest the presence of PGD, particularly in difficult-to-diagnose cases.Fil: Merello, Marcelo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Ballesteros, Diego. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Rossi, Malco Damian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Arena, Julieta. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Crespo, Marcos Jose. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Cervio, Andres Eduardo. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Cuello Oderiz, Carolina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Rivero, Alberto. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Cerquetti, Daniel. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaFil: Risk, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Tecnológico de Buenos Aires. Fac de Ingeniería; ArgentinaFil: Balej, Jorge. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; ArgentinaCIC Edizioni Internazionali2012-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/269376Merello, Marcelo Jorge; Ballesteros, Diego; Rossi, Malco Damian; Arena, Julieta; Crespo, Marcos Jose; et al.; Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait; CIC Edizioni Internazionali; Functional Neurology; 27; 4; 10-2012; 217-2240393-52641971-3274CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/pmid/https://pubmed.ncbi.nlm.nih.gov/23597435/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:01:48Zoai:ri.conicet.gov.ar:11336/269376instacron: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:34982025-09-03 10:01:48.932CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait
title Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait
spellingShingle Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait
Merello, Marcelo Jorge
GAIT ANALYSIS
PARKINSON
NEURAL NETWORK
PSYCHOGENIC GAIT
title_short Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait
title_full Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait
title_fullStr Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait
title_full_unstemmed Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait
title_sort Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait
dc.creator.none.fl_str_mv Merello, Marcelo Jorge
Ballesteros, Diego
Rossi, Malco Damian
Arena, Julieta
Crespo, Marcos Jose
Cervio, Andres Eduardo
Cuello Oderiz, Carolina
Rivero, Alberto
Cerquetti, Daniel
Risk, Marcelo
Balej, Jorge
author Merello, Marcelo Jorge
author_facet Merello, Marcelo Jorge
Ballesteros, Diego
Rossi, Malco Damian
Arena, Julieta
Crespo, Marcos Jose
Cervio, Andres Eduardo
Cuello Oderiz, Carolina
Rivero, Alberto
Cerquetti, Daniel
Risk, Marcelo
Balej, Jorge
author_role author
author2 Ballesteros, Diego
Rossi, Malco Damian
Arena, Julieta
Crespo, Marcos Jose
Cervio, Andres Eduardo
Cuello Oderiz, Carolina
Rivero, Alberto
Cerquetti, Daniel
Risk, Marcelo
Balej, Jorge
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv GAIT ANALYSIS
PARKINSON
NEURAL NETWORK
PSYCHOGENIC GAIT
topic GAIT ANALYSIS
PARKINSON
NEURAL NETWORK
PSYCHOGENIC GAIT
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Fluctuation is a common feature of all psychogenic gait disorder (PGD) patterns. Whether this fluctuation involves only the degree of impairment or whether it affects the gait pattern itself remains an interesting question. We hypothesize that, on repeated measurements, both normal and abnormal gait may present quantitative differences while maintaining their basic underlying pattern; conversely, in psychogenic gait, the basic pattern appears not to be preserved. Using an optoelectronic system, data acquired from 19 normal subjects and 66 patients were applied to train a neural network (NN) and subsequently classify gait patterns into four different groups (normal, ataxic, spastic-paraparetic and parkinsonian). Five patients who fulfilled clinical criteria for psychogenic gait and six controls were then prospectively evaluated on two separate occasions, three months apart. Normal controls and ataxic, parkinsonian or spastic patients were correctly identified by the NN, and categorized within the corresponding groups at baseline as well as at a three-month follow-up evaluation. NN analysis showed that after three months, no PGD patient preserved the gait pattern detected at baseline, even though this finding was not clinically apparent. Modification of gait pattern detected by repeated kinematic measurement and NN analysis could suggest the presence of PGD, particularly in difficult-to-diagnose cases.
Fil: Merello, Marcelo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Ballesteros, Diego. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Rossi, Malco Damian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Arena, Julieta. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Crespo, Marcos Jose. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Cervio, Andres Eduardo. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Cuello Oderiz, Carolina. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Rivero, Alberto. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Cerquetti, Daniel. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
Fil: Risk, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Tecnológico de Buenos Aires. Fac de Ingeniería; Argentina
Fil: Balej, Jorge. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina
description Fluctuation is a common feature of all psychogenic gait disorder (PGD) patterns. Whether this fluctuation involves only the degree of impairment or whether it affects the gait pattern itself remains an interesting question. We hypothesize that, on repeated measurements, both normal and abnormal gait may present quantitative differences while maintaining their basic underlying pattern; conversely, in psychogenic gait, the basic pattern appears not to be preserved. Using an optoelectronic system, data acquired from 19 normal subjects and 66 patients were applied to train a neural network (NN) and subsequently classify gait patterns into four different groups (normal, ataxic, spastic-paraparetic and parkinsonian). Five patients who fulfilled clinical criteria for psychogenic gait and six controls were then prospectively evaluated on two separate occasions, three months apart. Normal controls and ataxic, parkinsonian or spastic patients were correctly identified by the NN, and categorized within the corresponding groups at baseline as well as at a three-month follow-up evaluation. NN analysis showed that after three months, no PGD patient preserved the gait pattern detected at baseline, even though this finding was not clinically apparent. Modification of gait pattern detected by repeated kinematic measurement and NN analysis could suggest the presence of PGD, particularly in difficult-to-diagnose cases.
publishDate 2012
dc.date.none.fl_str_mv 2012-10
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/11336/269376
Merello, Marcelo Jorge; Ballesteros, Diego; Rossi, Malco Damian; Arena, Julieta; Crespo, Marcos Jose; et al.; Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait; CIC Edizioni Internazionali; Functional Neurology; 27; 4; 10-2012; 217-224
0393-5264
1971-3274
CONICET Digital
CONICET
url http://hdl.handle.net/11336/269376
identifier_str_mv Merello, Marcelo Jorge; Ballesteros, Diego; Rossi, Malco Damian; Arena, Julieta; Crespo, Marcos Jose; et al.; Lack of maintenance of gait pattern as measured by instrumental methods suggests psychogenic gait; CIC Edizioni Internazionali; Functional Neurology; 27; 4; 10-2012; 217-224
0393-5264
1971-3274
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/pmid/https://pubmed.ncbi.nlm.nih.gov/23597435/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv CIC Edizioni Internazionali
publisher.none.fl_str_mv CIC Edizioni Internazionali
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 12.885934

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