Evidence map›Paper›PMID 35768733›Full record

ArticleExperimental brain research2022

Measures of motor segmentation from rapid isometric force pulses are reliable and differentiate Parkinson's disease from age-related slowing.

Sherron L Howard, David Grenet, Maria Bellumori, Christopher A Knight

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Article in Experimental brain research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sherron L HowardDept. of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0001-6164-844X
David GrenetDepartment of Psychology, Concordia University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0003-1823-4801
Maria BellumoriKinesiology Department, California State University, Monterey Bay, Seaside, CA, USA.ORCID http://orcid.org/0000-0001-5093-1047
Christopher A KnightDepartment of Kinesiology and Applied Physiology, University of Delaware, 344 The Tower at STAR, 100 Discovery Blvd., Newark, DE, 19716, USA. caknight@udel.edu.ORCID http://orcid.org/0000-0002-6348-3906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some people with Parkinson's disease (PD) have disruptions in motor output during rapid isometric muscle contractions. Measures of such disruptions (motor segmentation) may help clarify disease subtype, progression, or effects of therapeutic interventions. We investigated the potential utility of segmentation measures by testing two hypotheses that are fundamental to measurement and evaluation. First, measures of motor segmentation are reliable from day to day (intraclass correlation coefficient > 0.8). Second, that measures of motor segmentation have the sensitivity to differentiate between people with PD and older adults. 10 subjects with PD had a mean age of 70.1 years, Hoehn-Yahr stage < 3, and median levodopa equivalent daily dose of 350 mg. Older adult (mean age 81.9 years) reference data are from a previously published study. Each subject provided approximately 87 rapid isometric index finger abduction force pulses up to 65% of their maximal isometric force for calculation of force pulse measures. Measures were computed for the excitation, transition, and relaxation phases of each force pulse. Measures of motor segmentation had high reliability and presented large (Cohen's D > 0.8) and significant (p < 0.05) group differences. In bivariate plots of selected measures, motor segmentation marked a departure of PD from age-related slowing. Across all subjects, greater segmentation was associated with greater impairments in rate control and a longer time to reach peak force (all Spearman's ρ > 0.8). These results support the potential utility of the motor segmentation measures by satisfying requirements for reliability and the sensitivity to indicate deviations from age-related slowing in motor output.

Indexed as

Parkinson DiseaseAgedAged, 80 and overHumansIsometric ContractionLevodopaMovementReproducibility of ResultsLevodopaBradykinesiaMotor segmentationMuscleNeurodegenerative diseaseParkinson’s diseaseRate of force development

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Read underepoch 390

Registered trials

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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.