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Motor Unit Firing Rates Of Maximal Lengthening And Shortening Elbow Extensions Across 3 Angular Velocities

2024· article· en· W4402662136 on OpenAlexaff
Michael T. Paris, Charles L. Rice

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2024
Typearticle
Languageen
FieldEngineering
TopicMechanics and Biomechanics Studies
Canadian institutionsWestern UniversityYork University
Fundersnot available
KeywordsElbowMotor unitElbow flexionUnit (ring theory)PhysicsMathematicsPhysical medicine and rehabilitationAnatomyMedicine

Abstract

fetched live from OpenAlex

PURPOSE: Motor unit firing rates (MUFRs) have been reported to be lower during lengthening compared to static or shortening contractions. However, comparisons of MUFRs between shortening and lengthening contractions have mostly been limited to sub-maximal efforts. We compared MUFRs of the triceps brachii during maximal lengthening and shortening elbow extensions across 3 angular isokinetic velocities. METHODS: Nine young adults (25.0 ± 4.5 years, n = 2 females) attended 1 to 3 data collection sessions, seated on an isokinetic dynamometer with their non-dominant arm firmly secured to an elbow extension attachment. Elbow joint range of motion was set to 60° (from 60° to 120° of elbow flexion). Three pairs of intramuscular fine-wire electrodes (50 μm, adhered together) were inserted into the lateral head of the triceps brachii. A single lengthening and shortening contraction was performed in series (~3 seconds between, randomized order) at isokinetic velocities of 30, 60, and 90 °/s (6-9 sets/session). Three minutes of rest was provided between sets. Motor unit trains (minimum of 4 inter-spike intervals per train) were analyzed and compared across contraction mode (lengthening vs. shortening) and isokinetic velocities. RESULTS: Across all velocities, peak lengthening and shortening torque was ~114% and ~ 84% of isometric torque, respectively. From the 411 motor unit trains analyzed, there was an average inter-spike interval count per train of 10.7 ± 7.6. The mean MUFR for shortening contractions at 30, 60, and 90 °/s was 32.4 ± 10.7, 37.0 ± 12.6, and 40.2 ± 12.0 Hz, respectively; whereas for lengthening contractions at 30, 60, and 90 °/s, they were 31.3 ± 11.5, 35.5 ± 12.4, and 35.5 ± 10.1 Hz, respectively. There were no differences in MUFRs between shortening and lengthening contractions (p = 0.760), but rates were lower (p = 0.002) at 30 °/s than those during 60 and 90 °/s. CONCLUSIONS: These preliminary findings indicate mean MUFRs are similar during maximal lengthening and shortening isokinetic contractions, which contrasts with previous reports during sub-maximal efforts. However, higher angular velocities were associated with higher MUFRs, reinforcing the role of angular velocity on motor unit control mechanisms. Supported by NSERC. NSERC

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.280
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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