Literature DB >> 34297299

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

Pablo Y Teruya1, Fernando D Farfán1,2, Álvaro G Pizá1,2, Jorge H Soletta1,2, Facundo A Lucianna1,2, Ana L Albarracín3,4.   

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.
© 2021. International Federation for Medical and Biological Engineering.

Entities:  

Keywords:  Electromyography; Muscle biomarkers; Parkinson’s disease model; Spectral analysis

Year:  2021        PMID: 34297299     DOI: 10.1007/s11517-021-02400-3

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  52 in total

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3.  Electrophysiology for biomedical engineering students: a practical and theoretical course in animal electrocorticography.

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Review 6.  Stages in the development of Parkinson's disease-related pathology.

Authors:  Heiko Braak; Estifanos Ghebremedhin; Udo Rüb; Hansjürgen Bratzke; Kelly Del Tredici
Journal:  Cell Tissue Res       Date:  2004-08-24       Impact factor: 5.249

Review 7.  Move to the rhythm: oscillations in the subthalamic nucleus-external globus pallidus network.

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Journal:  Trends Neurosci       Date:  2002-10       Impact factor: 13.837

8.  Electromyographic characterization in an animal model of dystonia.

Authors:  Kunal Chaniary; Mark Baron; Ann Rice; Paul Wetzel; Steven Shapiro
Journal:  Mov Disord       Date:  2008-06-15       Impact factor: 10.338

Review 9.  Compensatory mechanisms in Parkinson's disease: Circuits adaptations and role in disease modification.

Authors:  Javier Blesa; Inés Trigo-Damas; Michele Dileone; Natalia Lopez-Gonzalez Del Rey; Ledia F Hernandez; José A Obeso
Journal:  Exp Neurol       Date:  2017-10-04       Impact factor: 5.330

Review 10.  Modeling Parkinson's disease in rats: an evaluation of 6-OHDA lesions of the nigrostriatal pathway.

Authors:  Ronald Deumens; Arjan Blokland; Jos Prickaerts
Journal:  Exp Neurol       Date:  2002-06       Impact factor: 5.330

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  1 in total

1.  Muscle function alterations in a Parkinson's disease animal model: Electromyographic recordings dataset.

Authors:  Ana L Albarracín; Fernando D Farfán
Journal:  Data Brief       Date:  2021-12-16
  1 in total

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