Evidence map›Paper›PMID 31801123›Full record

ArticleJournal of neural engineering2020

Impact of parameter selection on estimates of motoneuron excitability using paired motor unit analysis.

Altamash Hassan, Christopher K Thompson, Francesco Negro, Mark Cummings, Randall K Powers, C J Heckman, Julius P A Dewald, Laura Miller McPherson

Abstract read
In one paragraph

Article in Journal of neural engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

29 citing papers in PubMed.

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  13. Relationships among motor unit discharge parameters used to estimate synaptic inputs to motoneurons.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
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  19. Review
  20. Sex differences in the detection of motor unit action potentials identified using high-density surface electromyography.Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology · 2022
    Article
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

8 authors.

Altamash HassanDepartment of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States of America.ORCID 0000-0001-7604-5107
Christopher K ThompsonDepartment of Health and Rehabilitation Sciences, Temple University, Philadelphia, PA, United States of America.
Francesco NegroDepartment of Clinical and Experimental Sciences, Research Centre for Neuromuscular Function and Adapted Physical Activity 'Teresa Camplani', Universita degli Studi di Brescia, Brescia, Italy.
Mark CummingsDepartment of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States of America.
Randall K PowersDepartment of Physiology and Biophysics, University of Washington, Seattle, WA, United States of America.
C J HeckmanDepartment of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States of America.
Julius P A DewaldDepartment of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States of America.
Laura Miller McPhersonProgram in Physical Therapy, Washington University School of Medicine, St. Louis, MO, United States of America.

Funding

PATHOPHYSIOLOGY AND REHABILITATION OF NEURAL DYSFUNCTIONT32HD007418 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Levi John Hargrove · 1992 to 2026
$6.5M
EFFECT OF NEURAL CONSTRAINTS ON MOVEMENT IN STROKER01HD039343 · NICHD · REHABILITATION INSTITUTE OF CHICAGO · PI JULIUS P DEWALD, JUN YAO · 2000 to 2026
$6.0M
Computer Models of Normal and Abnormal Discharge Patterns in Human MotoneuronsR01NS062200 · NINDS · UNIVERSITY OF WASHINGTON · PI POWERS, RANDALL K · 2009 to 2013
$2.4M
The Human Motor Output MapR01NS098509 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HECKMAN, CHARLES · 2016 to 2020
$2.1M
Reverse Engineering Motor Unit Discharge PatternsR01NS085331 · NINDS · UNIVERSITY OF WASHINGTON · PI HECKMAN, CHARLES, POWERS, RANDALL K · 2014 to 2018
$1.7M
NICHD NIH HHS R01 HD039343NICHD NIH HHS T32 HD007418NINDS NIH HHS R01 NS062200NINDS NIH HHS R01 NS085331NINDS NIH HHS R01 NS098509
6 · The paper itself

Abstract

objectiveNoninvasive estimation of motoneuron excitability in human motoneurons is achieved through a paired motor unit analysis (ΔF) that quantifies hysteresis in the instantaneous firing rates at motor unit recruitment and de-recruitment. The ΔF technique provides insight into the magnitude of neuromodulatory synaptic input and persistent inward currents (PICs). While the ΔF technique is commonly used for estimating motoneuron excitability during voluntary contractions, computational parameters used for the technique vary across studies. A systematic investigation into the relationship between these parameters and ΔF values is necessary. APPROACH: We assessed the sensitivity of the ΔF technique with several criteria commonly used in selecting motor unit pairs for analysis and methods used for smoothing the instantaneous motor unit firing rates. Using high-density surface EMG and convolutive blind source separation, we obtained a large number of motor unit pairs (5409) from the triceps brachii of ten healthy individuals during triangular isometric contractions. MAIN

resultsWe found an exponential plateau relationship between ΔF and the recruitment time difference between the motor unit pairs and an exponential decay relationship between ΔF and the de-recruitment time difference between the motor unit pairs, with the plateaus occurring at approximately 1 s and 1.5 s, respectively. Reduction or removal of the minimum threshold for rate-rate correlation of the two units did not affect ΔF values or variance. Removing motor unit pairs in which the firing rate of the control unit was saturated had no significant effect on ΔF. Smoothing the filter selection had no substantial effect on ΔF values and ΔF variance; however, filter selection affected the minimum recruitment and de-recruitment time differences. SIGNIFICANCE: Our results offer recommendations for standardized parameters for the ΔF approach and facilitate the interpretation of findings from studies that implement the ΔF analysis but use different computational parameters.

Indexed as

AdultElectromyographyFemaleHumansIsometric ContractionMaleMotor NeuronsMuscle, SkeletalRecruitment, NeurophysiologicalTorqueYoung Adult

Identifiers

PMID31801123
PMCPMC7295184

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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.