ArticleMedical & biological engineering & computing2021
Quantifying muscle alterations in a Parkinson's disease animal model using electromyographic biomarkers.
Article in Medical & biological engineering & computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Assessing Time-Frequency Analysis Methods for Non-Stationary EMG Bursts: Application to an Animal Model of Parkinson's Disease.Sensors (Basel, Switzerland) · 2026Article
- Brain-hemispheric differences in the premotor area for motor planning: An approach based on corticomuscular connectivity during motor decision-making.NeuroImage · 2025Article
- Electrophysiology Methods for Assessing of Neurodegenerative and Post-Traumatic Processes as Applied to Translational Research.Life (Basel, Switzerland) · 2024Review
- Decision-Making Time Analysis for Assessing Processing Speed in Athletes during Motor Reaction Tasks.Sports (Basel, Switzerland) · 2024Article
- Assessing Cognitive Workload in Motor Decision-Making through Functional Connectivity Analysis: Towards Early Detection and Monitoring of Neurodegenerative Diseases.Sensors (Basel, Switzerland) · 2024Article
- Research on the electromyography-based pattern recognition for inter-limb coordination in human crawling motion.Frontiers in neuroscience · 2024Article
- Assays of tongue force, timing, and dynamics in rat and mouse models.Brain research bulletin · 2022Review
- Muscle function alterations in a Parkinson's disease animal model: Electromyographic recordings dataset.Data in brief · 2022Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.