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Artículo

Quantifying muscle alterations in a Parkinson’s disease animal model using electromyographic biomarkers

Teruya, Pablo YoshinIcon ; Farfan, Fernando DanielIcon ; Pizá, Alvaro GabrielIcon ; Soletta, Jorge HumbertoIcon ; Lucianna, Facundo AdriánIcon ; Albarracin, Ana LiaIcon
Fecha de publicación: 07/2021
Editorial: Springer Heidelberg
Revista: Medical And Biological Engineering And Computing
ISSN: 0140-0118
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ingenierías y Tecnologías; Otras Ciencias Biológicas; Otras Ciencias de la Computación e Información

Resumen

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.
Palabras clave: ELECTROMYOGRAPHY , MUSCLE BIOMARKERS , PARKINSON’S DISEASE MODEL , SPECTRAL ANALYSIS
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/217060
URL: https://link.springer.com/article/10.1007/s11517-021-02400-3?wt_mc=Internal.Even
DOI: https://doi.org/10.1007/s11517-021-02400-3
Colecciones
Articulos(INSIBIO)
Articulos de INST.SUP.DE INVEST.BIOLOGICAS
Citación
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
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