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How Important is the Big Toe?: Functional Anatomy of Hallux Flexion

2021· article· en· W3166361236 on OpenAlexafffund
Jacob Fanous, Charles L. Rice

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBipedalismFlexor Digitorum LongusAnkleMedicinePeroneus longusPhysical medicine and rehabilitationGaitFlexor musclesBalance (ability)AnatomyElectromyographyKnee flexionPlantar flexionFoot (prosody)Ground reaction forceKinematics

Abstract

fetched live from OpenAlex

Introduction Bipedalism is a unique characteristic of homo sapiens allowing us the ability to stand and walk. Many muscles required for bipedalism have been studied with a focus on large superficial leg muscles. However, the functional anatomy of deeper muscles with unique foot function have not been explored. The flexor hallucis longus (FHL) of the posterior leg and flexor hallucis brevis (FHB) of the foot function to flex the big toe, are required for optimal locomotion, and have an important role in upright balance and gait. Furthermore, the FHL has been used in tendon transfers such as Achilles reconstruction. The loss of function of the FHL, including impairments in balance and walking, have been noted but not comprehensively explored. Thus, the purpose of this study was to assess the relative activation of these muscles (FHL and FHB) in toe flexion and postural movements by using indwelling electromyography (EMG) recordings. Methods In six healthy participants to date (4 males and 2 females) ages 22‐25 years, indwelling fine wires were inserted into each of the following muscles of the dominant limb: FHL, FHB, soleus and tibialis anterior (TA), to record intramuscular EMG activity. Ultrasound imaging was used to ensure optimal placement of the fine wires within each muscle. After two familiarization sessions, participants were placed in a custom‐built toe dynamometer to record maximal voluntary contractions (MVC) of the big toe flexors (ankle, knee, and hip were maintained at 90 degrees). Additionally, plantar flexion and dorsiflexion MVCs were recorded using a custom ankle dynamometer. Participants were then asked to perform functional tasks including standing quietly for 60 seconds, sitting and standing from a seated position, bilateral calf‐raises, standing on one foot, and swaying anteriorly to their limit of stability (before requiring a step to stop falling). Data were analyzed offline using Spike2 software. EMG (root mean squared – RMS) activity from the various tasks for each muscle was normalized to the maximal EMG obtained from the MVC tasks and expressed as a percentage (%). Results Average toe flexion strength was ~174N of force. When standing on two feet the FHL was ~1% active relative to its MVC while the FHB was ~6% active. During sitting and standing from the seated position the FHL had ~3% activity while the FHB had ~10%. FHL and FHB had ~36% and 39% activity, respectively, during the body weight calf raise. When standing on one foot the FHL was ~6% active while the FHB was ~30% active. The greatest activity for these muscles within the functional tasks was during the anterior forward tilt with ~50% and 75% for the FHL and FHB, respectively. While performing toe flexion MVCs there was ~65% co‐activation in the TA and ~4% in the soleus. Conclusion These results illustrate the importance of the FHL and FHB during balance (forward sway) compared with their activity during plantar flexion and other tasks, although the FHB was more active in these than the FHL. The large degree of co‐activation in the TA to optimize toe flexion illustrates an important synergy required for optimal toe and foot function. In addition to providing a better understanding of the functional anatomy and biomechanics of the foot, these results also indicate consideration of the functional relevance of these big toe muscles in clinical interventions.

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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)0.000
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.271
Teacher spread0.244 · 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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Citations3
Published2021
Admission routes2
Has abstractyes

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