Evidence map›Paper›PMID 34297299›Full record

ArticleMedical & biological engineering & computing2021

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

Pablo Y Teruya, Fernando D Farfán, Álvaro G Pizá, Jorge H Soletta, Facundo A Lucianna, Ana L Albarracín

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In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Pablo Y TeruyaLaboratorio de Investigaciones en Neurociencias Y Tecnologías Aplicadas (LINTEC), Departamento de Bioingeniería, Facultad de Ciencias Exactas Y Tecnología, Universidad Nacional de Tucumán, Av. Independencia 1800, (4000) San Miguel de Tucumán, Tucumán, Argentina.
Fernando D FarfánLaboratorio de Investigaciones en Neurociencias Y Tecnologías Aplicadas (LINTEC), Departamento de Bioingeniería, Facultad de Ciencias Exactas Y Tecnología, Universidad Nacional de Tucumán, Av. Independencia 1800, (4000) San Miguel de Tucumán, Tucumán, Argentina.
Álvaro G PizáLaboratorio de Investigaciones en Neurociencias Y Tecnologías Aplicadas (LINTEC), Departamento de Bioingeniería, Facultad de Ciencias Exactas Y Tecnología, Universidad Nacional de Tucumán, Av. Independencia 1800, (4000) San Miguel de Tucumán, Tucumán, Argentina.
Jorge H SolettaLaboratorio de Investigaciones en Neurociencias Y Tecnologías Aplicadas (LINTEC), Departamento de Bioingeniería, Facultad de Ciencias Exactas Y Tecnología, Universidad Nacional de Tucumán, Av. Independencia 1800, (4000) San Miguel de Tucumán, Tucumán, Argentina.
Facundo A LuciannaLaboratorio de Investigaciones en Neurociencias Y Tecnologías Aplicadas (LINTEC), Departamento de Bioingeniería, Facultad de Ciencias Exactas Y Tecnología, Universidad Nacional de Tucumán, Av. Independencia 1800, (4000) San Miguel de Tucumán, Tucumán, Argentina.
Ana L AlbarracínLaboratorio de Investigaciones en Neurociencias Y Tecnologías Aplicadas (LINTEC), Departamento de Bioingeniería, Facultad de Ciencias Exactas Y Tecnología, Universidad Nacional de Tucumán, Av. Independencia 1800, (4000) San Miguel de Tucumán, Tucumán, Argentina. aalbarracin@herrera.unt.edu.ar.
National University of Tucumán · ARConsejo Nacional de Investigaciones Científicas y Técnicas · ARInstituto Superior de Investigaciones Biológicas · AR

Funding

Consejo Nacional de Investigaciones Científicas y Técnicas PIP 433/14
6 · The paper itself

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.

Indexed as

Neurodegenerative DiseasesParkinson DiseaseAnimalsBiomarkersDisease Models, AnimalMusclesRatsBiomarkersElectromyographyMuscle biomarkersParkinson’s disease modelSpectral analysis

Identifiers

PMID34297299
OpenAlexW3184022056

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.