Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport

Autores
Cano, Leonardo Ariel; Pizá, Alvaro Gabriel; Farfan, Fernando Daniel
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Many disciplines have approached the study of human motor behavior. The motor learning theory based on information processing proposes a learning loop through interaction between the external environment and the central nervous system. Different neuroscience fields and technological advances provide a new perspective for the intensive study of the intrinsic processes of motor behavior, which modify the most visible aspect: motor efficiency. The aim of the present review was to determine which cortical and muscular electrophysiological biomarkers available in the literature could be representative for the study and quantification of motor efficiency. In this review, a survey of the literature related to motor production has been performed. The continuous development of biological signal monitoring techniques has allowed to understand part of the communication methods of the central nervous system, the integration of neural networks, and the interaction between different anatomic structures through rhythmic patterns of discharge known as brain waves. Motor production has been characterized by detecting electrophysiological biomarkers, taking into account the connectivity that can be represented by the corticomuscular and intermuscular coherence indices in different frequency bands. The present work proposes an approach to use these biomarkers on beta-band (for muscle stability synergies) and gamma-band (for mobility synergies). These indices will allow establishing quantitative parameters for motor efficiency, which could improve the precision of sports assessment.
Fil: Cano, Leonardo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Investigaciones Biológicas. Universidad Nacional de Tucumán. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucuman. Facultad de Educación Física; Argentina
Fil: Pizá, Alvaro Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Investigaciones Biológicas. Universidad Nacional de Tucumán. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Bioingeniería; Argentina
Fil: Farfan, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Investigaciones Biológicas. Universidad Nacional de Tucumán. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Bioingeniería; Argentina
Materia
SPORT BIOMARKERS
MOTOR EFFICIENCY
MOTOR CONTROL
ELECTROENCEPHALOGRAPHY
ELECTROMYOGRAPHY
CORTICOMUSCULAR COHERENCE
BRAIN WAVES
MUSCLE SYNERGY
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:11336/215062
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/215062
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Electrophysiological Biomarkers for the Assessment of Motor Efficiency in SportCano, Leonardo ArielPizá, Alvaro GabrielFarfan, Fernando DanielSPORT BIOMARKERSMOTOR EFFICIENCYMOTOR CONTROLELECTROENCEPHALOGRAPHYELECTROMYOGRAPHYCORTICOMUSCULAR COHERENCEBRAIN WAVESMUSCLE SYNERGYhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Many disciplines have approached the study of human motor behavior. The motor learning theory based on information processing proposes a learning loop through interaction between the external environment and the central nervous system. Different neuroscience fields and technological advances provide a new perspective for the intensive study of the intrinsic processes of motor behavior, which modify the most visible aspect: motor efficiency. The aim of the present review was to determine which cortical and muscular electrophysiological biomarkers available in the literature could be representative for the study and quantification of motor efficiency. In this review, a survey of the literature related to motor production has been performed. The continuous development of biological signal monitoring techniques has allowed to understand part of the communication methods of the central nervous system, the integration of neural networks, and the interaction between different anatomic structures through rhythmic patterns of discharge known as brain waves. Motor production has been characterized by detecting electrophysiological biomarkers, taking into account the connectivity that can be represented by the corticomuscular and intermuscular coherence indices in different frequency bands. The present work proposes an approach to use these biomarkers on beta-band (for muscle stability synergies) and gamma-band (for mobility synergies). These indices will allow establishing quantitative parameters for motor efficiency, which could improve the precision of sports assessment.Fil: Cano, Leonardo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Investigaciones Biológicas. Universidad Nacional de Tucumán. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucuman. Facultad de Educación Física; ArgentinaFil: Pizá, Alvaro Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Investigaciones Biológicas. Universidad Nacional de Tucumán. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Bioingeniería; ArgentinaFil: Farfan, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Investigaciones Biológicas. Universidad Nacional de Tucumán. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Bioingeniería; ArgentinaConscientia Beam2022-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/215062Cano, Leonardo Ariel; Pizá, Alvaro Gabriel; Farfan, Fernando Daniel; Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport; Conscientia Beam; Journal of Sports Research; 9; 1; 1-2022; 10-252413-84362410-6534CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://archive.conscientiabeam.com/index.php/90/article/view/2897info:eu-repo/semantics/altIdentifier/doi/10.18488/90.v9i1.2897info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:47:50Zoai:ri.conicet.gov.ar:11336/215062instacron: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 10:47:51.014CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport
title Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport
spellingShingle Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport
Cano, Leonardo Ariel
SPORT BIOMARKERS
MOTOR EFFICIENCY
MOTOR CONTROL
ELECTROENCEPHALOGRAPHY
ELECTROMYOGRAPHY
CORTICOMUSCULAR COHERENCE
BRAIN WAVES
MUSCLE SYNERGY
title_short Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport
title_full Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport
title_fullStr Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport
title_full_unstemmed Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport
title_sort Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport
dc.creator.none.fl_str_mv Cano, Leonardo Ariel
Pizá, Alvaro Gabriel
Farfan, Fernando Daniel
author Cano, Leonardo Ariel
author_facet Cano, Leonardo Ariel
Pizá, Alvaro Gabriel
Farfan, Fernando Daniel
author_role author
author2 Pizá, Alvaro Gabriel
Farfan, Fernando Daniel
author2_role author
author
dc.subject.none.fl_str_mv SPORT BIOMARKERS
MOTOR EFFICIENCY
MOTOR CONTROL
ELECTROENCEPHALOGRAPHY
ELECTROMYOGRAPHY
CORTICOMUSCULAR COHERENCE
BRAIN WAVES
MUSCLE SYNERGY
topic SPORT BIOMARKERS
MOTOR EFFICIENCY
MOTOR CONTROL
ELECTROENCEPHALOGRAPHY
ELECTROMYOGRAPHY
CORTICOMUSCULAR COHERENCE
BRAIN WAVES
MUSCLE SYNERGY
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Many disciplines have approached the study of human motor behavior. The motor learning theory based on information processing proposes a learning loop through interaction between the external environment and the central nervous system. Different neuroscience fields and technological advances provide a new perspective for the intensive study of the intrinsic processes of motor behavior, which modify the most visible aspect: motor efficiency. The aim of the present review was to determine which cortical and muscular electrophysiological biomarkers available in the literature could be representative for the study and quantification of motor efficiency. In this review, a survey of the literature related to motor production has been performed. The continuous development of biological signal monitoring techniques has allowed to understand part of the communication methods of the central nervous system, the integration of neural networks, and the interaction between different anatomic structures through rhythmic patterns of discharge known as brain waves. Motor production has been characterized by detecting electrophysiological biomarkers, taking into account the connectivity that can be represented by the corticomuscular and intermuscular coherence indices in different frequency bands. The present work proposes an approach to use these biomarkers on beta-band (for muscle stability synergies) and gamma-band (for mobility synergies). These indices will allow establishing quantitative parameters for motor efficiency, which could improve the precision of sports assessment.
Fil: Cano, Leonardo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Investigaciones Biológicas. Universidad Nacional de Tucumán. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucuman. Facultad de Educación Física; Argentina
Fil: Pizá, Alvaro Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Investigaciones Biológicas. Universidad Nacional de Tucumán. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Bioingeniería; Argentina
Fil: Farfan, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Investigaciones Biológicas. Universidad Nacional de Tucumán. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Bioingeniería; Argentina
description Many disciplines have approached the study of human motor behavior. The motor learning theory based on information processing proposes a learning loop through interaction between the external environment and the central nervous system. Different neuroscience fields and technological advances provide a new perspective for the intensive study of the intrinsic processes of motor behavior, which modify the most visible aspect: motor efficiency. The aim of the present review was to determine which cortical and muscular electrophysiological biomarkers available in the literature could be representative for the study and quantification of motor efficiency. In this review, a survey of the literature related to motor production has been performed. The continuous development of biological signal monitoring techniques has allowed to understand part of the communication methods of the central nervous system, the integration of neural networks, and the interaction between different anatomic structures through rhythmic patterns of discharge known as brain waves. Motor production has been characterized by detecting electrophysiological biomarkers, taking into account the connectivity that can be represented by the corticomuscular and intermuscular coherence indices in different frequency bands. The present work proposes an approach to use these biomarkers on beta-band (for muscle stability synergies) and gamma-band (for mobility synergies). These indices will allow establishing quantitative parameters for motor efficiency, which could improve the precision of sports assessment.
publishDate 2022
dc.date.none.fl_str_mv 2022-01
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/11336/215062
Cano, Leonardo Ariel; Pizá, Alvaro Gabriel; Farfan, Fernando Daniel; Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport; Conscientia Beam; Journal of Sports Research; 9; 1; 1-2022; 10-25
2413-8436
2410-6534
CONICET Digital
CONICET
url http://hdl.handle.net/11336/215062
identifier_str_mv Cano, Leonardo Ariel; Pizá, Alvaro Gabriel; Farfan, Fernando Daniel; Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport; Conscientia Beam; Journal of Sports Research; 9; 1; 1-2022; 10-25
2413-8436
2410-6534
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://archive.conscientiabeam.com/index.php/90/article/view/2897
info:eu-repo/semantics/altIdentifier/doi/10.18488/90.v9i1.2897
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
dc.publisher.none.fl_str_mv Conscientia Beam
publisher.none.fl_str_mv Conscientia Beam
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 13.069144

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