Dynamic simulation of muscle and articular properties during human wide jaw opening

Peck, Christopher C.; Langenbach, G.E.J.; Hannam, A.G.

doi:10.1016/s0003-9969(00)00071-6

Cited by 97 publications

(97 citation statements)

References 62 publications

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“…As myofilament interaction determines active tension, all muscle fibers have a length range over which optimal active force production is possible (the plateau in a length-tension curve) with active tension decreasing at lengths longer and shorter than the optimum (Gordon et al, 1966;Herring et al, 1979). Passive force, however, is dictated by parallel and series elastic elements in the MTC and increases exponentially beyond the muscle length corresponding to the optimal plateau of the length-tension curve (Peck et al, 2000;Winter, 1990;Woittiez et al, 1983). If we assume that the optimum sarcomere length is the same throughout the muscle (Herring et al, 1979), two fibers (and their sarcomeres) subjected to different strains (i.e.…”

Section: Discussionmentioning

confidence: 99%

“…Goto et al, 2001;Herring et al, 1979;Peck et al, 2000;van der Helm and Veenbaas, 1991). We assume anterior and posterior face fibers are of similar fiber type and undergo similar deformations during mouth opening, that fascicle strain regimes do not vary significantly in different regions of the muscle.…”

Section: Twisted Modelmentioning

confidence: 99%

“…Indeed, many biomechanical analyses of force transmission necessitate treating a tendon as a single spring-like or tensile element (Goto et al, 2001;Herring et al, 1979;Peck et al, 2000;van der Helm and Veenbaas, 1991;van Eijden and Koolstra, 1998). However, this reduction ignores the fact that tendons usually have substantial thickness or breadth and therefore are more accurately characterized as many elements in parallel.…”

Section: Introductionmentioning

confidence: 99%

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Uniform strain in broad muscles: active and passive effects of the twisted tendon of the spotted ratfish Hydrolagus colliei

Dean

Azizi

Summers

2007

Journal of Experimental Biology

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SUMMARY A muscle's force output depends on the range of lengths over which its fibers operate. Regional variation in fiber shortening during muscle contraction may translate into suboptimal force production if a subset of muscle fibers operates outside the plateau of the length–tension curve. Muscles with broad insertions and substantial shortening are particularly prone to heterogeneous strain patterns since fibers from different regions of the muscle vary in their moment arms, with fibers further from the joint exhibiting greater strains. In the present study, we describe a musculotendon morphology that serves to counteract the variation in moment arm and fiber strains that are inherent in broad muscles. The tendon of the anterior jaw adductor of the spotted ratfish Hydrolagus colliei is twisted such that the distal face of the muscle inserts more proximally than the proximal face. Using quantitative geometric models based on this natural morphology, we show that this inversion of insertion points serves to equalize strains across the muscle such that at any gape angle all fibers in the muscle are operating at similar positions on their length–tension curves. Manipulations of this geometric model show that the natural morphology is `ideal' compared to other hypothetical morphologies for limiting fiber strain heterogeneity. The uniform strain patterns predicted for this morphology could increase active force production during jaw closing and also decrease passive resistance to jaw opening. This divergence from `typical' tendon morphology in the jaw adductors of H. colliei may be particularly important given the demands for high force production in durophagy.

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Section: Discussionmentioning

confidence: 99%

Section: Twisted Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Uniform strain in broad muscles: active and passive effects of the twisted tendon of the spotted ratfish Hydrolagus colliei

Dean

Azizi

Summers

2007

Journal of Experimental Biology

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“…It has been proposed that they are a determinant of maximum jaw opening (Langenbach and Hannam, 1999;Peck et al, 2000;. Mathematical models applied to the study of the passive forces of the masticatory muscles have been unable to open the jaw more than about 3 cm, whereas an opening of 6 cm is frequently observed in vivo (Posselt, 1962;Brown, 1975).…”

Section: Musclesmentioning

confidence: 99%

Dynamics of the Human Masticatory System

Koolstra

2002

Critical Reviews in Oral Biology & Medicine

203

110

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ABSTRACT:In this review, the movement characteristics of the human masticatory system are discussed from a biomechanical perspective. The discussion is based upon the three fundamental laws of mechanics applied to the various anatomical structures that are part of the masticatory system. An analysis of the forces and torques applied to the mandible by muscles, joints, articular capsules, and teeth is used to assess the determinants of jaw movement. The principle of relating the interplay of forces to the center of gravity of the lower jaw, in contrast to a hinge axis near its joints, is introduced. It is evident that the muscles are the dominant determinants of jaw movement. The contributions of the individual muscles to jaw movements can be derived from the orientation of their lines of action with respect to the center of gravity of the lower jaw. They cause the jaw to accelerate with six degrees of freedom. The ratio between linear and angular accelerations is subtly dependent on the mass and moments of inertia of the jaw, and the structures that are more or less rigidly attached to it. The effects of articular forces must be taken into account, especially if the joints are loaded asymmetrically. The muscles not only move the jaw but also maintain articular stability during midline movements. Passive structures, such as the ligaments, become dominant only when the jaw reaches its movement boundaries. These ligaments are assumed to prevent joint dislocation during non-midline movements.

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“…Therefore, computational multibody models of the elbow could be a valuable tool to improve the diagnosis, treatment and rehabilitation of post-traumatic injuries of the elbow joint. Many researchers have used these model to investigate muscle contribution to joint moment (Arnold & Delp, 2001;Gonzalez et al, 1996;Hutchins, Gonzalez, & Barr, 1993;Lemay & Crago, 1996;Murray, Delp, & Buchanan, 1995;van der Helm, 1994a) and body segment motion (Anderson & Pandy, 2001;Gonzalez, Abraham, Barr, & Buchanan, 1999;Nagano, Komura, Yoshioka, & Fukashiro, 2005;Peck, Langenbach, & Hannam, 2000;van der Helm, 1994b). A validated model can be used as a potential biomechanical tool for patient-specific preoperative planning, computer-aided surgery, and computer-aided rehabilitation (Chao, Armiger, Yoshida, Lim, & Haraguchi, 2007;Fernandez & Pandy, 2006;Fisk & Wayne, 2009;Holzbaur, Murray, & Delp, 2005;Kwak et al, 2000;Woo, Debski, Wong, Yagi, & Tarinelli, 1999).…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a computational multibody model of the elbow joint

Rahman

2014

Advances in biomechanics and applications

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Computational multibody models of the elbow joint can provide a powerful tool to study joint biomechanics, examine muscle and ligament function, soft tissue loading, and the effects of joint trauma. Such models can reduce the cost of expensive experimental testing and can predict some parameters that are difficult to investigate experimentally, such as forces within ligaments and contact forces between cartilage covered bones. These parameters can assist surgeons and other investigators to develop better treatments for elbow injuries and thereby increase patient care. Biomechanical computational models of the elbow exist in the literature, but these models are typically limited in their applicability by artificially constraining the joint (e.g. modeling the elbow as a hinge joint), prescribing specific kinematics, simplifying ligament characteristics or ignoring cartilage geometries.The purpose of this thesis was to develop anatomically correct subject specific computational multibody models of elbow joints and validate these models against experimental data. In these models, the joints were constrained by three-dimensional deformable contacts between articulating geometries, passive muscle loading, and multiple bundles of non-linear ligaments wrapped around the bones. iv In this approach, three-dimensional bone geometries for the model were constructed from volume images generated by computed tomography (CT) scans obtained from cadaver elbows. The ligaments and triceps tendon were modeled as spring-damper elements with non-linear stiffness. Articular cartilage was represented as uniform thickness solids covering the articulating bone surfaces. Finally, the model was validated by placing the cadaver elbows in a mechanical testing apparatus and comparing predicted kinematics and triceps tendon forces to experimentally measured values. A small improvement in predicted kinematics was observed compared to experimental values when the lateral ulnar collateral and annular ligament were wrapped around the bone. Some reductions of RMS error were also observed when a non-linear toe region was modeled in the ligament compared to models that had only a linear force-displacement relationship. None of these changes were statistically significant (ANOVA p-value was greater than 0.05).

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Dynamic simulation of muscle and articular properties during human wide jaw opening

Cited by 97 publications

References 62 publications

Uniform strain in broad muscles: active and passive effects of the twisted tendon of the spotted ratfish Hydrolagus colliei

Uniform strain in broad muscles: active and passive effects of the twisted tendon of the spotted ratfish Hydrolagus colliei

Dynamics of the Human Masticatory System

Development and validation of a computational multibody model of the elbow joint

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