Literature DB >> 9405518

Directional control of planar human arm movement.

G L Gottlieb1, Q Song, G L Almeida, D A Hong, D Corcos.   

Abstract

We examined the patterns of joint kinematics and torques in two kinds of sagittal plane reaching movements. One consisted of movements from a fixed initial position with the arm partially outstretched, to different targets, equidistant from the initial position and located according to the hours of a clock. The other series added movements from different initial positions and directions and >40-80 cm distances. Dynamic muscle torque was calculated by inverse dynamic equations with the gravitational components removed. In making movements in almost every direction, the dynamic components of the muscle torques at both the elbow and shoulder were related almost linearly to each other. Both were similarly shaped, biphasic, almost synchronous and symmetrical pulses. These findings are consistent with our previously reported observations, which we termed a linear synergy. The relative scaling of the two joint torques changes continuously and regularly with movement direction. This was confirmed by calculating a vector defined by the dynamic components of the shoulder and elbow torques. The vector rotates smoothly about an ellipse in intrinsic, joint torque space as the direction of hand motion rotates about a circle in extrinsic Cartesian space. This confirms a second implication of linear synergy that the scaling constant between the linearly related joint torques is directionally dependent. Multiple linear regression showed that the torque at each joint scales as a simple linear function of the angular displacement at both joints, in spite of the complex nonlinear dynamics of multijoint movement. The coefficients of this function are independent of the initial arm position and movement distance and are the same for all subjects. This is an unanticipated finding. We discuss these observations in terms of the hypothesis that voluntary, multiple degrees of freedom, rapid reaching movements may use rule-based, feed-forward control of dynamic joint torque. Rule-based control of joint torque with separate dynamic and static controllers is an alternative to models such as those based on the equilibrium point hypotheses that rely on a positionally based controller to produce both dynamic and static torque components. It is also an alternative to feed-forward models that directly solve the problems of inverse dynamics. Our experimental findings are not necessarily incompatible with any of the alternative models, but they describe new, additional findings for which we need to account. The rules are chosen by the nervous system according to features of the kinematic task to couple muscle contraction at the shoulder and elbow in a linear synergy. Speed and load control preserves the relative magnitudes of the dynamic torques while directional control is accomplished by modulating them in a differential manner. This control system operates in parallel with a positional control system that solves the problems of postural stability.

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Year:  1997        PMID: 9405518     DOI: 10.1152/jn.1997.78.6.2985

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  29 in total

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4.  Long-latency reflexes of elbow and shoulder muscles suggest reciprocal excitation of flexors, reciprocal excitation of extensors, and reciprocal inhibition between flexors and extensors.

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Journal:  J Neurophysiol       Date:  2016-02-10       Impact factor: 2.714

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Authors:  Paulo B de Freitas; Slobodan Jaric
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9.  Speed, resistance, and unexpected accelerations modulate feed forward and feedback control during a novel weight bearing task.

Authors:  Shih-Chiao Tseng; Keith R Cole; Michael A Shaffer; Michael A Petrie; Chu-Ling Yen; Richard K Shields
Journal:  Gait Posture       Date:  2016-12-15       Impact factor: 2.840

10.  Shoulder muscle activity in Parkinson's disease during multijoint arm movements across a range of speeds.

Authors:  Becky G Farley; Scott Sherman; Gail F Koshland
Journal:  Exp Brain Res       Date:  2003-10-15       Impact factor: 1.972

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