Quantifying muscle alterations in a Parkinson’s disease animal model using electromyographic biomarkers
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...
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| Veröffentlicht in: | Medical & biological engineering & computing 2021-09, Vol.59 (9), p.1735-1749 |
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| creator | Teruya, Pablo Y. Farfán, Fernando D. Pizá, Álvaro G. Soletta, Jorge H. Lucianna, Facundo A. Albarracín, Ana L. |
| description | 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.
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| doi_str_mv | 10.1007/s11517-021-02400-3 |
| format | Article |
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Graphical abstract</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/s11517-021-02400-3</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>6-Hydroxydopamine ; Animal diseases ; Animal models ; Animals ; Biomarkers ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Computer Applications ; Degeneration ; Distribution functions ; Electromyography ; Function analysis ; Human Physiology ; Imaging ; Injury analysis ; Lesions ; Locomotion ; Mathematical models ; Movement disorders ; Muscle contraction ; Muscles ; Muscular function ; Neurodegeneration ; Neurodegenerative diseases ; Neurotoxicity ; Original Article ; Parameters ; Parkinson's disease ; Probability distribution ; Probability distribution functions ; Radiology</subject><ispartof>Medical & biological engineering & computing, 2021-09, Vol.59 (9), p.1735-1749</ispartof><rights>International Federation for Medical and Biological Engineering 2021</rights><rights>International Federation for Medical and Biological Engineering 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-c34c746db29c724b5c093b82ddb8f0f19c507d812637ba3f9eee564a2d31eec73</citedby><cites>FETCH-LOGICAL-c352t-c34c746db29c724b5c093b82ddb8f0f19c507d812637ba3f9eee564a2d31eec73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11517-021-02400-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11517-021-02400-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Teruya, Pablo Y.</creatorcontrib><creatorcontrib>Farfán, Fernando D.</creatorcontrib><creatorcontrib>Pizá, Álvaro G.</creatorcontrib><creatorcontrib>Soletta, Jorge H.</creatorcontrib><creatorcontrib>Lucianna, Facundo A.</creatorcontrib><creatorcontrib>Albarracín, Ana L.</creatorcontrib><title>Quantifying muscle alterations in a Parkinson’s disease animal model using electromyographic biomarkers</title><title>Medical & biological engineering & computing</title><addtitle>Med Biol Eng Comput</addtitle><description>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.
Graphical abstract</description><subject>6-Hydroxydopamine</subject><subject>Animal diseases</subject><subject>Animal models</subject><subject>Animals</subject><subject>Biomarkers</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Computer Applications</subject><subject>Degeneration</subject><subject>Distribution functions</subject><subject>Electromyography</subject><subject>Function analysis</subject><subject>Human Physiology</subject><subject>Imaging</subject><subject>Injury analysis</subject><subject>Lesions</subject><subject>Locomotion</subject><subject>Mathematical models</subject><subject>Movement disorders</subject><subject>Muscle contraction</subject><subject>Muscles</subject><subject>Muscular function</subject><subject>Neurodegeneration</subject><subject>Neurodegenerative diseases</subject><subject>Neurotoxicity</subject><subject>Original Article</subject><subject>Parameters</subject><subject>Parkinson's disease</subject><subject>Probability distribution</subject><subject>Probability distribution functions</subject><subject>Radiology</subject><issn>0140-0118</issn><issn>1741-0444</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kM9KxDAQxoMouK6-gKeA52r-Nt2jiP9gQQU9hzRN16xtsmbaw958DV_PJzFrBW8eZoaB3_cN8yF0Ssk5JURdAKWSqoIwmksQUvA9NKNK5FUIsY9mhApSEEqrQ3QEsCaZlEzMkH8aTRh8u_VhhfsRbOew6QaXzOBjAOwDNvjRpDcfIIavj0_AjQdnIGPB96bDfWxch0fYGbjO2SHFfhtXyWxevcW1j31WuwTH6KA1HbiT3zlHLzfXz1d3xfLh9v7qcllYLtmQu7BKlE3NFlYxUUtLFryuWNPUVUtaurCSqKairOSqNrxdOOdkKQxrOHXOKj5HZ5PvJsX30cGg13FMIZ_UTJZcllUlRabYRNkUAZJr9Sbld9JWU6J3keopUp2D0j-Rap5FfBJBhsPKpT_rf1TfJZZ8cQ</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Teruya, Pablo Y.</creator><creator>Farfán, Fernando D.</creator><creator>Pizá, Álvaro 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muscle alterations in a Parkinson’s disease animal model using electromyographic biomarkers</title><author>Teruya, Pablo Y. ; Farfán, Fernando D. ; Pizá, Álvaro G. ; Soletta, Jorge H. ; Lucianna, Facundo A. ; Albarracín, Ana L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-c34c746db29c724b5c093b82ddb8f0f19c507d812637ba3f9eee564a2d31eec73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>6-Hydroxydopamine</topic><topic>Animal diseases</topic><topic>Animal models</topic><topic>Animals</topic><topic>Biomarkers</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biomedicine</topic><topic>Computer Applications</topic><topic>Degeneration</topic><topic>Distribution functions</topic><topic>Electromyography</topic><topic>Function analysis</topic><topic>Human Physiology</topic><topic>Imaging</topic><topic>Injury 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computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Teruya, Pablo Y.</au><au>Farfán, Fernando D.</au><au>Pizá, Álvaro G.</au><au>Soletta, Jorge H.</au><au>Lucianna, Facundo A.</au><au>Albarracín, Ana L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying muscle alterations in a Parkinson’s disease animal model using electromyographic biomarkers</atitle><jtitle>Medical & biological engineering & computing</jtitle><stitle>Med Biol Eng Comput</stitle><date>2021-09-01</date><risdate>2021</risdate><volume>59</volume><issue>9</issue><spage>1735</spage><epage>1749</epage><pages>1735-1749</pages><issn>0140-0118</issn><eissn>1741-0444</eissn><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.
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| subjects | 6-Hydroxydopamine Animal diseases Animal models Animals Biomarkers Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Computer Applications Degeneration Distribution functions Electromyography Function analysis Human Physiology Imaging Injury analysis Lesions Locomotion Mathematical models Movement disorders Muscle contraction Muscles Muscular function Neurodegeneration Neurodegenerative diseases Neurotoxicity Original Article Parameters Parkinson's disease Probability distribution Probability distribution functions Radiology |
| title | Quantifying muscle alterations in a Parkinson’s disease animal model using electromyographic biomarkers |
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