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Record W6991072179

FATIGUE-RELATED RESPONSES FOR EXPLOSIVE NEUROMUSCULAR FUNCTION AND PERIPHERAL FATIGUE FOLLOWING RAPID AND RAMP ISOMETRIC CONTRACTIONS

2023· article· en· W6991072179 on OpenAlexaboutno aff

Bibliographic record

VenueTopSCHOLAR (Western Kentucky University) · 2023
Typearticle
Languageen
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsnot available
Fundersnot available
KeywordsIsometric exerciseElectromyographyPeripheralNeuromuscular transmissionMuscle fatigueRepeated measures designMuscle contractionAnalysis of variance
DOInot available

Abstract

fetched live from OpenAlex

Lacey Harper1, Benjamin Dalton2, Michaela Alesi1, Michael Cooper1, Jacob McDougle1, Trisha VanDusseldorp3, Robert Buresh, FACSM1, Yuri Feito, FACSM4, Garrett Hester1. 1Kennesaw State University, Kennesaw, GA. 2University of Guelph, Guelph, ON. 3Bonafide Health, Harrison, NY. 4American College of Sports Medicine, Indianapolis, IN. BACKGROUND: Neuromuscular fatigue following maximal voluntary isometric contractions (MVIC) dampens both rate of torque development (RTD) and rate of muscle activation (RMA), but the influence of contraction speed (i.e., rapid vs. slow) is less clear. The purpose of this study was to determine responses in explosive neuromuscular function and peripheral fatigue after fatiguing, rapid and ramp maximal isometric contractions. METHODS: Following a familiarization visit, twelve recreationally active, young males (22.8 ± 2.5 yrs) performed either rapid (FAST; as rapid as possible) or ramp (SLOW; 2 sec ramp-up) maximal voluntary isometric knee extensions. Protocol order was randomized and both protocols were stopped upon a 50% reduction in peak torque. Before and after each protocol, a rapid MVIC was performed and early (0-50 ms and 0-100 ms) and late (0-200 ms) RTD were calculated from the torque-time curve. RMA was assessed for the vastus lateralis using electromyography and was calculated as the root mean square from 0-50 ms relative to maximum root mean square. Following the MVICs, a series of electrically evoked singlets and doublets (10 Hz and 100 Hz) were delivered to assess indices of peripheral fatigue such as twitch amplitude and half relaxation time. Two-way (condition × time) repeated measures ANOVAs were used to identify differences between conditions across time. RESULTS: RTD from 0-50 ms (-56% vs -27%; p=0.020) and RMA (-64% vs +6%; p=0.026) were reduced more after SLOW compared to FAST, whereas similar reductions were found for other RTD time phases. Indices of peripheral fatigue were decreased similarly between conditions, but the larger effect size and relative increase for half relaxation time after SLOW (+43% vs +31%; p = 0.062) was noteworthy. CONCLUSIONS: These results suggest that early rapid torque production and RMA is reduced more after slow fatiguing contractions than fast. Though the physiological underpinnings cannot be completely elucidated, the impairment in RMA after slow contractions may be due to greater inhibitory feedback resulting from peripheral fatigue. Despite a similar total time under tension between protocols, the longer ramp-up during SLOW contractions likely allowed for greater peripheral disturbance.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.460
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.235
Teacher spread0.203 · 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 teacher head, 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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