Revisiting the functional anatomy of the palmaris longus as a thenar synergist
Bibliographic record
Abstract
Surgical studies describe the palmaris longus (PL) as a synergist in thumb abduction, which may facilitate its use in restoring thumb function using opponensplasty. However, beyond morphological descriptions and isometric thenar abduction strength measures, the evidence supporting the PL as a thenar synergist in‐vivo is limited. The purpose here was to determine whether the PL provides synergistic contributions to thenar musculature by: (1) recording PL muscle activity using indwelling electromyography (EMG) during thumb movements; and (2) quantifying changes in PL muscle architecture using ultrasonography. In 10 healthy males, PL muscle activity was recorded during maximal thenar muscle contractions (abduction, flexion, opposition, adduction, and extension) with the wrist secured in a neutral position. The PL EMG was normalized to its maximal EMG recorded during isometric wrist flexion. Dynamic changes in PL muscle thickness (MT) were determined during abduction and adduction using ultrasound imaging. The results indicate that the PL is activated during thenar movements with greatest relative PL EMG recorded during thenar abduction (46%), flexion (35%) and opposition (37%). Compared to rest, PL MT significantly increased (21%) during maximal thenar abduction. With direct measures in vivo, this study supports morphological and surgical observations indicating the PL acts as an extrinsic hand muscle in enhancing thenar muscle actions. Knowledge of the synergistic relationship between the PL and thenar musculature may allow for further development of surgical opponensplasty approaches using the abductor pollicis brevis and PL as a functional digastric unit. Clin. Anat. 31:760–770, 2018. © 2017 Wiley Periodicals, Inc.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".