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Record W2173173137 · doi:10.4085/1062-6050-50.5.08

Kinesio-Taping Application and Corticospinal Excitability at the Ankle Joint

2015· article· en· W2173173137 on OpenAlexaff
François Tremblay, Siobhan Karam

Bibliographic record

VenueJournal of Athletic Training · 2015
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsBruyèreUniversity of Ottawa
Fundersnot available
KeywordsAnkleTranscranial magnetic stimulationPhysical medicine and rehabilitationSilent periodMedicinePlantar flexionPhysical therapyElectromyographyPsychologyStimulationAnatomyInternal medicine

Abstract

fetched live from OpenAlex

CONTEXT: Physiotherapists and athletic trainers often use Kinesio Taping (KT) to prevent and treat musculoskeletal injuries in athletes, yet evidence about its effects on neuromuscular performance is conflicting. OBJECTIVE: To investigate the influence of a KT application directed at the ankle joint on measures of corticospinal excitability with transcranial magnetic stimulation. DESIGN: Controlled laboratory study. SETTING: Research laboratory. PATIENTS OR OTHER PARTICIPANTS: Twelve healthy young women (age = 23.1 ± 1.9 years; range, 19-26 years). INTERVENTION(S): Participants were tested under no-tape and KT conditions according to a random sequence order. The KT was applied to the skin overlying the dorsiflexor and plantar-flexor muscles of the ankle. MAIN OUTCOME MEASURE(S): We assessed changes in the amplitude of motor-evoked potentials elicited at rest and during movement and changes in the silent period and background muscle activity during movement. RESULTS: Taping conditions had no effect on motor-evoked potential amplitude at rest or during movement or on the silent-period duration and background muscle activity. CONCLUSIONS: Our results concur with other recent reports, showing KT applications have little influence at the neuromuscular level. Alterations in sensory feedback ascribed to elastic taping are likely insufficient to modulate corticospinal excitability in a functionally meaningful manner.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.819
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.107
GPT teacher head0.296
Teacher spread0.190 · 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

Citations16
Published2015
Admission routes1
Has abstractyes

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