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Record W2139234095 · doi:10.1113/jphysiol.2012.248989

Twitch interpolation: superimposed twitches decline progressively during a tetanic contraction of human adductor pollicis

2013· article· en· W2139234095 on OpenAlexaff
Simon C. Gandevia, Chris J. McNeil, Timothy J. Carroll, Janet L. Taylor

Bibliographic record

VenueThe Journal of Physiology · 2013
Typearticle
Languageen
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNational Health and Medical Research CouncilNational Medical Research CouncilMedical Research CouncilNeuroscience Research Australia
KeywordsAdductor pollicis muscleMuscle contractionAnatomyContraction (grammar)Ulnar nerveStimulationPeripheralSkeletal muscleMuscle fatigueChemistryInternal medicineElectromyographyNeuroscienceMedicineBiologyElbow

Abstract

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Key points The size of an interpolated muscle twitch during a voluntary muscle contraction is used to assess the extra force that the central nervous system can harness from the muscle with volition. During human exercise, this interpolated twitch commonly increases in size and this reduced voluntary activation of the muscle is termed ‘central’ fatigue. Recent work on isolated mouse muscle fibres suggests an alternative ‘peripheral’ explanation for the increased twitch based on altered sensitivity to intracellular calcium. We tested this possibility with tetanic stimulation of the ulnar nerve while measuring thumb adductor force. During maximal tetani lasting 1 min at 30 Hz (or 3 min at 15 Hz), muscle force declined (i.e. peripheral fatigue developed) but the relative and absolute size of superimposed twitches declined progressively. They did not increase as predicted from the mouse study. Twitch interpolation can reveal central fatigue during voluntary muscle contractions. Abstract The assessment of voluntary activation of human muscles usually depends on measurement of the size of the twitch produced by an interpolated nerve or cortical stimulus. In many forms of fatiguing exercise the superimposed twitch increases and thus voluntary activation appears to decline. This is termed ‘central’ fatigue. Recent studies on isolated mouse muscle suggest that a peripheral mechanism related to intracellular calcium sensitivity increases interpolated twitches. To test whether this problem developed with human voluntary contractions we delivered maximal tetanic stimulation to the ulnar nerve (≥60 s at physiological motoneuronal frequencies, 30 and 15 Hz). During the tetani (at 30 Hz) in which the force declined by 42%, the absolute size of the twitches evoked by interpolated stimuli (delivered regularly or only in the last second of the tetanus) diminished progressively to less than 1%. With stimulation at 30 Hz, there was also a marked reduction in size and area of the interpolated compound muscle action potential (M wave). With a 15 Hz tetanus, a progressive decline in the interpolated twitch force also occurred (to ∼10%) but did so before the area of the interpolated M wave diminished. These results indicate that the increase in interpolated twitch size predicted from the mouse studies does not occur. Diminution in superimposed twitches occurred whether or not the M wave indicated marked impairment at sarcolemmal/t‐tubular levels. Consequently, the increase in superimposed twitch, which is used to denote central fatigue in human fatiguing exercise, is likely to reflect low volitional drive to high‐threshold motor units, which stop firing or are discharging at low frequencies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.012
GPT teacher head0.241
Teacher spread0.229 · 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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Citations40
Published2013
Admission routes1
Has abstractyes

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