Time to Tango: Expertise and contextual anticipation during action observation

Autores
Amoruso, Lucía; Sedeño, Lucas; Huepe, David; Tomio, Ailin; Kamienkowski, Juan Esteban; Hurtado, Esteban; Cardona Londoño, Juan Felipe; Álvarez González, Miguel Ángel; Rieznik, Andrés Anibal; Sigman, Mariano; Manes, Facundo Francisco; Ibañez, Agustin Mariano
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Predictive theories of action observation propose that we use our own motor system as a guide for anticipating and understanding other people's actions through the generation of context-based expectations. According to this view, people should be better in predicting and interpreting those actions that are present in their own motor repertoire compared to those that are not. We recorded high-density event-related potentials (ERPs: P300, N400 and Slow Wave, SW) and source estimation in 80 subjects separated by their level of expertise (experts, beginners and naïves) as they observed realistic videos of Tango steps with different degrees of execution correctness. We also performed path analysis to infer causal relationships between ongoing anticipatory brain activity, evoked semantic responses, expertise measures and behavioral performance. We found that anticipatory activity, with sources in a fronto-parieto-occipital network, early discriminated between groups according to their level of expertise. Furthermore, this early activity significantly predicted subsequent semantic integration indexed by semantic responses (N400 and SW, sourced in temporal and motor regions) which also predicted motor expertise. In addition, motor expertise was a good predictor of behavioral performance. Our results show that neural and temporal dynamics underlying contextual action anticipation and comprehension can be interpreted in terms of successive levels of contextual prediction that are significantly modulated by subject's prior experience. © 2014 Elsevier Inc.
Fil: Amoruso, Lucía. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Católica de Chile; Chile. Instituto Superior de Diseño; Cuba. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina
Fil: Sedeño, Lucas. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina
Fil: Huepe, David. Universidad Diego Portales; Chile
Fil: Tomio, Ailin. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina
Fil: Kamienkowski, Juan Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina
Fil: Hurtado, Esteban. Universidad Diego Portales; Chile
Fil: Cardona Londoño, Juan Felipe. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Álvarez González, Miguel Ángel. Universidad Autónoma del Caribe; Colombia
Fil: Rieznik, Andrés Anibal. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina
Fil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Manes, Facundo Francisco. Universidad Diego Portales; Chile. Universidad Favaloro. Facultad de Medicina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina
Fil: Ibañez, Agustin Mariano. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Diego Portales; Chile. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Universidad Autónoma del Caribe; Colombia
Materia
Action Observation
Context-Based Expectations
Dance
Motor Expertise
N400
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/77197
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Time to Tango: Expertise and contextual anticipation during action observationAmoruso, LucíaSedeño, LucasHuepe, DavidTomio, AilinKamienkowski, Juan EstebanHurtado, EstebanCardona Londoño, Juan FelipeÁlvarez González, Miguel ÁngelRieznik, Andrés AnibalSigman, MarianoManes, Facundo FranciscoIbañez, Agustin MarianoAction ObservationContext-Based ExpectationsDanceMotor ExpertiseN400Predictive theories of action observation propose that we use our own motor system as a guide for anticipating and understanding other people's actions through the generation of context-based expectations. According to this view, people should be better in predicting and interpreting those actions that are present in their own motor repertoire compared to those that are not. We recorded high-density event-related potentials (ERPs: P300, N400 and Slow Wave, SW) and source estimation in 80 subjects separated by their level of expertise (experts, beginners and naïves) as they observed realistic videos of Tango steps with different degrees of execution correctness. We also performed path analysis to infer causal relationships between ongoing anticipatory brain activity, evoked semantic responses, expertise measures and behavioral performance. We found that anticipatory activity, with sources in a fronto-parieto-occipital network, early discriminated between groups according to their level of expertise. Furthermore, this early activity significantly predicted subsequent semantic integration indexed by semantic responses (N400 and SW, sourced in temporal and motor regions) which also predicted motor expertise. In addition, motor expertise was a good predictor of behavioral performance. Our results show that neural and temporal dynamics underlying contextual action anticipation and comprehension can be interpreted in terms of successive levels of contextual prediction that are significantly modulated by subject's prior experience. © 2014 Elsevier Inc.Fil: Amoruso, Lucía. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Católica de Chile; Chile. Instituto Superior de Diseño; Cuba. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; ArgentinaFil: Sedeño, Lucas. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; ArgentinaFil: Huepe, David. Universidad Diego Portales; ChileFil: Tomio, Ailin. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; ArgentinaFil: Kamienkowski, Juan Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; ArgentinaFil: Hurtado, Esteban. Universidad Diego Portales; ChileFil: Cardona Londoño, Juan Felipe. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Álvarez González, Miguel Ángel. Universidad Autónoma del Caribe; ColombiaFil: Rieznik, Andrés Anibal. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; ArgentinaFil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Manes, Facundo Francisco. Universidad Diego Portales; Chile. Universidad Favaloro. Facultad de Medicina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; ArgentinaFil: Ibañez, Agustin Mariano. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Diego Portales; Chile. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Universidad Autónoma del Caribe; ColombiaAcademic Press Inc Elsevier Science2014-09info: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/11336/77197Amoruso, Lucía; Sedeño, Lucas; Huepe, David; Tomio, Ailin; Kamienkowski, Juan Esteban; et al.; Time to Tango: Expertise and contextual anticipation during action observation; Academic Press Inc Elsevier Science; Journal Neuroimag; 98; 9-2014; 366-3851053-8119CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S105381191400370Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuroimage.2014.05.005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:11:56Zoai:ri.conicet.gov.ar:11336/77197instacron: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:34982025-09-10 13:11:56.884CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Time to Tango: Expertise and contextual anticipation during action observation
title Time to Tango: Expertise and contextual anticipation during action observation
spellingShingle Time to Tango: Expertise and contextual anticipation during action observation
Amoruso, Lucía
Action Observation
Context-Based Expectations
Dance
Motor Expertise
N400
title_short Time to Tango: Expertise and contextual anticipation during action observation
title_full Time to Tango: Expertise and contextual anticipation during action observation
title_fullStr Time to Tango: Expertise and contextual anticipation during action observation
title_full_unstemmed Time to Tango: Expertise and contextual anticipation during action observation
title_sort Time to Tango: Expertise and contextual anticipation during action observation
dc.creator.none.fl_str_mv Amoruso, Lucía
Sedeño, Lucas
Huepe, David
Tomio, Ailin
Kamienkowski, Juan Esteban
Hurtado, Esteban
Cardona Londoño, Juan Felipe
Álvarez González, Miguel Ángel
Rieznik, Andrés Anibal
Sigman, Mariano
Manes, Facundo Francisco
Ibañez, Agustin Mariano
author Amoruso, Lucía
author_facet Amoruso, Lucía
Sedeño, Lucas
Huepe, David
Tomio, Ailin
Kamienkowski, Juan Esteban
Hurtado, Esteban
Cardona Londoño, Juan Felipe
Álvarez González, Miguel Ángel
Rieznik, Andrés Anibal
Sigman, Mariano
Manes, Facundo Francisco
Ibañez, Agustin Mariano
author_role author
author2 Sedeño, Lucas
Huepe, David
Tomio, Ailin
Kamienkowski, Juan Esteban
Hurtado, Esteban
Cardona Londoño, Juan Felipe
Álvarez González, Miguel Ángel
Rieznik, Andrés Anibal
Sigman, Mariano
Manes, Facundo Francisco
Ibañez, Agustin Mariano
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Action Observation
Context-Based Expectations
Dance
Motor Expertise
N400
topic Action Observation
Context-Based Expectations
Dance
Motor Expertise
N400
dc.description.none.fl_txt_mv Predictive theories of action observation propose that we use our own motor system as a guide for anticipating and understanding other people's actions through the generation of context-based expectations. According to this view, people should be better in predicting and interpreting those actions that are present in their own motor repertoire compared to those that are not. We recorded high-density event-related potentials (ERPs: P300, N400 and Slow Wave, SW) and source estimation in 80 subjects separated by their level of expertise (experts, beginners and naïves) as they observed realistic videos of Tango steps with different degrees of execution correctness. We also performed path analysis to infer causal relationships between ongoing anticipatory brain activity, evoked semantic responses, expertise measures and behavioral performance. We found that anticipatory activity, with sources in a fronto-parieto-occipital network, early discriminated between groups according to their level of expertise. Furthermore, this early activity significantly predicted subsequent semantic integration indexed by semantic responses (N400 and SW, sourced in temporal and motor regions) which also predicted motor expertise. In addition, motor expertise was a good predictor of behavioral performance. Our results show that neural and temporal dynamics underlying contextual action anticipation and comprehension can be interpreted in terms of successive levels of contextual prediction that are significantly modulated by subject's prior experience. © 2014 Elsevier Inc.
Fil: Amoruso, Lucía. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Católica de Chile; Chile. Instituto Superior de Diseño; Cuba. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina
Fil: Sedeño, Lucas. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina
Fil: Huepe, David. Universidad Diego Portales; Chile
Fil: Tomio, Ailin. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina
Fil: Kamienkowski, Juan Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina
Fil: Hurtado, Esteban. Universidad Diego Portales; Chile
Fil: Cardona Londoño, Juan Felipe. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Álvarez González, Miguel Ángel. Universidad Autónoma del Caribe; Colombia
Fil: Rieznik, Andrés Anibal. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina
Fil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Manes, Facundo Francisco. Universidad Diego Portales; Chile. Universidad Favaloro. Facultad de Medicina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina
Fil: Ibañez, Agustin Mariano. Instituto de Neurología Cognitiva. Laboratorio de Psicología Experimental y Neurociencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Diego Portales; Chile. Universidad Favaloro. Facultad de Medicina. Instituto de Neurociencias; Argentina. Universidad Autónoma del Caribe; Colombia
description Predictive theories of action observation propose that we use our own motor system as a guide for anticipating and understanding other people's actions through the generation of context-based expectations. According to this view, people should be better in predicting and interpreting those actions that are present in their own motor repertoire compared to those that are not. We recorded high-density event-related potentials (ERPs: P300, N400 and Slow Wave, SW) and source estimation in 80 subjects separated by their level of expertise (experts, beginners and naïves) as they observed realistic videos of Tango steps with different degrees of execution correctness. We also performed path analysis to infer causal relationships between ongoing anticipatory brain activity, evoked semantic responses, expertise measures and behavioral performance. We found that anticipatory activity, with sources in a fronto-parieto-occipital network, early discriminated between groups according to their level of expertise. Furthermore, this early activity significantly predicted subsequent semantic integration indexed by semantic responses (N400 and SW, sourced in temporal and motor regions) which also predicted motor expertise. In addition, motor expertise was a good predictor of behavioral performance. Our results show that neural and temporal dynamics underlying contextual action anticipation and comprehension can be interpreted in terms of successive levels of contextual prediction that are significantly modulated by subject's prior experience. © 2014 Elsevier Inc.
publishDate 2014
dc.date.none.fl_str_mv 2014-09
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/11336/77197
Amoruso, Lucía; Sedeño, Lucas; Huepe, David; Tomio, Ailin; Kamienkowski, Juan Esteban; et al.; Time to Tango: Expertise and contextual anticipation during action observation; Academic Press Inc Elsevier Science; Journal Neuroimag; 98; 9-2014; 366-385
1053-8119
CONICET Digital
CONICET
url http://hdl.handle.net/11336/77197
identifier_str_mv Amoruso, Lucía; Sedeño, Lucas; Huepe, David; Tomio, Ailin; Kamienkowski, Juan Esteban; et al.; Time to Tango: Expertise and contextual anticipation during action observation; Academic Press Inc Elsevier Science; Journal Neuroimag; 98; 9-2014; 366-385
1053-8119
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S105381191400370X
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuroimage.2014.05.005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/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 Academic Press Inc Elsevier Science
publisher.none.fl_str_mv Academic Press Inc Elsevier Science
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 12.993085

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