Anatomical, biomechanical and behavioural characteristics of the human masseter muscle
Notice bibliographique
Résumé
There is little information on the anatomical and functional organization of the human jaw muscles, despite their importance to the masticatory system and disorders which affect it. The current studies examined the anatomical, biomechanical and functional characteristics in the multipennate human masseter muscle as a model for understanding function in the human jaw. Masseter anatomy was investigated in fetuses, adult cadavers, and living subjects by histology, gross anatomical dissection and Magnetic-Resonance (MR) imaging. Nerve pathways and muscle-fibre arrangements suggested that both fetal and adult muscles could be divided into at least four neuromuscular compartments. Although some fetal specimens had developed peimation, internal aponeuroses were seldom present. Structural variations were also found in the cadaveric material and living subjects. As the number of aponeuroses increased with development, and their thickness varied between individuals, individualized contraction strategies are likely to occur during function. Movements of masseter insertion sites during jaw function were modelled in dry skulls. Muscle origins and insertions were measured three-dimensionally at different gapes and simulated masticatory positions. Their movements varied with craniofacial dimensions and their locations on the mandible. For some parts of the muscle, the balancing-side and the incisal-contact positions provided the most advantageous lines of muscle fibre action, while for others, the working-side task was most favourable. Separate portions of the muscle are thus uniquely placed to perform specific tasks. Movements of four insertion sites were also recorded in four living subjects. Insertion areas were identified on MR-derived reconstructions, and movements recorded with a jaw-tracking device. Ranges of insertion displacement were similar to these estimated for dry skulls, and varied between individuals. Interference electromyography, and single-motor-unit (MU) techniques were used to study physiological responses in eight subjects. The behaviour of low-threshold MUs was investigated relative to changes in bite side and experimental paradigm while subjects were biting on a force transducer. For each unit, the recruitment threshold, sustained-bite forces, the rate and regularity of sustained firing, and the coefficient of variation, were measured. Assessments were also made of the accuracy with which the target rates were attained, and of the contribution of each MU’s firing rate to bite force. These measures of behaviour frequently differed between tasks, but not reproducibly. The highest reproducibility and firing-rate accuracy were achieved when visual and auditory MU feedback was provided. A tendency for increased firing rate, and decreased discharge variability was found when subjects had no feedback. As approximately 50% of the units did not show reproducible behavioural characteristics, it seems that differences in intramuscular activation, differential activation of other muscles, and the inherent variability seen in low-threshold MU studies generally make quantitative comparisons of focal activity in the masseter implausible. Finally, a method was developed for locating the positions of moving needle electrodes relative to internal aponeuroses. It combined scanning electromyography, optical tracking of electrodes, MR imaging, and three-dimensional reconstruction. The territorial sizes of 162 MUs were then assessed in the muscles of four subjects. Their mean width was 3.7 ± 2.3 mm. Most MU territories were confined between tendons, although 10% of the units clearly extended across at least one tendon. This focal dispersion of most territories provides a firm anatomical basis for selective activation of the muscle. The findings collectively indicate an anatomical, biomechanical and physiological basis for differential motor control of at least four neuromuscular compartments in the human masseter muscle. The extent to which the central nervous system selectively activates these compartments, or coactivates them, remains to be demonstrated under functional conditions.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».