Dynamic iso-resistive trunk extension simulation: contributions of the intrinsic and reflexive mechanisms to spinal stability.
The effects of external resistance on the recruitment of trunk muscles and the role of intrinsic and reflexive mechanisms to ensure the spinal stability are significant issues in spinal biomechanics. A computational model of spine under the control of 48 anatomically oriented muscle actions was used to simulate iso-resistive trunk movements. Neural excitation of muscles was attained based on inverse dynamics approach along with the stability-based optimization. The effect of muscle spindle reflex response on the trunk movement stability was evaluated upon the application of a perturbation moment. In this study, the trunk extension movement at various resistance levels while extending from 60 degrees flexion to the upright posture was investigated. Incorporation of the stability condition as an additional constraint in the optimization algorithm increased antagonistic activities for all resistance levels demonstrating that the co-activation caused an increase in the intrinsic stiffness of the spine and its stability in a feed-forward manner. During the acceleration phase of the movement, extensors activity increased while flexors activity decreased in response to the higher resistance. The co-activation ratio noticed in the braking phase of the movement increased with higher resistance. In presence of a 30 Nm flexion perturbation moment, reflexive feed-back noticeably decreased the induced deviation of the velocity and position profiles from the desired ones at all resistance levels. The stability-generated co-activation decreased the reflexive response of muscle spindles to the perturbation demonstrating that both intrinsic and reflexive mechanisms contribute to the trunk stability. The rise in muscle co-activation can ameliorate the corruption of afferent neural sensory system at the expense of higher loading of the spine.
Davarani
S Zeinali
SZ
Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran.
Shirazi-Adl
A
A
Hemami
H
H
Mousavi
S J
SJ
Parnianpour
M
M
D001415:Back / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D007551:Isotonic Contraction / Q000502:physiology*; D007700:Kinetics; D008954:Models, Biological; D009068:Movement / Q000502:physiology*; D009470:Muscle Spindles / Q000502:physiology; D018482:Muscle, Skeletal / Q000294:innervation / Q000502:physiology; D004856:Postural Balance / Q000502:physiology; D011187:Posture; D011999:Recruitment, Neurophysiological / Q000502:physiology*; D012026:Reflex, Stretch / Q000502:physiology*; D013131:Spine / Q000502:physiology; D019415:Torque; D016474:Weight-Bearing