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dc.contributor.author
Teruya, Pablo Yoshin  
dc.contributor.author
Farfan, Fernando Daniel  
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Pizá, Alvaro Gabriel  
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Soletta, Jorge Humberto  
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Lucianna, Facundo Adrián  
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Albarracin, Ana Lia  
dc.date.available
2023-11-06T12:17:00Z  
dc.date.issued
2021-07  
dc.identifier.citation
Teruya, Pablo Yoshin; Farfan, Fernando Daniel; Pizá, Alvaro Gabriel; Soletta, Jorge Humberto; Lucianna, Facundo Adrián; et al.; Quantifying muscle alterations in a Parkinson’s disease animal model using electromyographic biomarkers; Springer Heidelberg; Medical And Biological Engineering And Computing; 59; 9; 7-2021; 1735-1749  
dc.identifier.issn
0140-0118  
dc.identifier.uri
http://hdl.handle.net/11336/217060  
dc.description.abstract
Parkinson’s disease (PD) is a neurodegenerative disease currently diagnosed based on characteristic motor dysfunctions. The most common Parkinson’s disease animal model induces massive nigrostriatal degeneration by intracerebral infusion of 6-hydroxydopamine (6-OHDA). Motor deficits in rat models of Parkinson’s disease were previously addressed in other works. However, an accurate quantification of muscle function in freely moving PD-lesioned rats over time has not been described until now. In this work, we address the muscular activity characterization of a 6-OHDA-lesion model of PD along 6 weeks post-lesion based on spectral and morphological analysis of the signals. Using chronic implanted EMG electrodes in a hindlimb muscle of freely moving rats, we have evaluated the effect of the PD neurotoxic model in the muscular activity during locomotion. EMG signals obtained from animals with different time post-injury were analyzed. Power spectral densities were characterized by the mean and median frequency, and the EMG burst stationarity was previously verified for all animals. Our results show that as the time post-lesion increases both frequency parameters decrease. Probability distribution function analysis was also performed. The results suggest that contractile dynamics of the biceps femoris muscle change with time post-lesion. We have also demonstrated here the usefulness of frequency parameters as biomarkers for monitoring the muscular function changes that could be used for early detection of motor dysfunction.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer Heidelberg  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ELECTROMYOGRAPHY  
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MUSCLE BIOMARKERS  
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PARKINSON’S DISEASE MODEL  
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SPECTRAL ANALYSIS  
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Otras Ingenierías y Tecnologías  
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Otras Ingenierías y Tecnologías  
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INGENIERÍAS Y TECNOLOGÍAS  
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Otras Ciencias Biológicas  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
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Otras Ciencias de la Computación e Información  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Quantifying muscle alterations in a Parkinson’s disease animal model using electromyographic biomarkers  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-11-06T09:53:22Z  
dc.journal.volume
59  
dc.journal.number
9  
dc.journal.pagination
1735-1749  
dc.journal.pais
Alemania  
dc.description.fil
Fil: Teruya, Pablo Yoshin. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Bioingeniería; Argentina. 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  
dc.description.fil
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  
dc.description.fil
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  
dc.description.fil
Fil: Soletta, Jorge Humberto. 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  
dc.description.fil
Fil: Lucianna, Facundo Adrián. 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  
dc.description.fil
Fil: Albarracin, Ana Lia. 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  
dc.journal.title
Medical And Biological Engineering And Computing  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s11517-021-02400-3?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst&utm_source=ArticleAuthorOnlineFirst&utm_medium=email&utm_content=AA_en_06082018&ArticleAuthorOnlineFirst_20210724  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/s11517-021-02400-3