Literature DB >> 12522179

Coordinated turn-and-reach movements. I. Anticipatory compensation for self-generated coriolis and interaction torques.

Pascale Pigeon1, Simone B Bortolami, Paul DiZio, James R Lackner.   

Abstract

When reaching movements involve simultaneous trunk rotation, additional interaction torques are generated on the arm that are absent when the trunk is stable. To explore whether the CNS compensates for such self-generated interaction torques, we recorded hand trajectories in reaching tasks involving various amplitudes and velocities of arm extension and trunk rotation. Subjects pointed to three targets on a surface slightly above waist level. Two of the target locations were chosen so that a similar arm configuration relative to the trunk would be required for reaching to them, one of these targets requiring substantial trunk rotation, the other very little. Significant trunk rotation was necessary to reach the third target, but the arm's radial distance to the body remained virtually unchanged. Subjects reached at two speeds-a natural pace (slow) and rapidly (fast)-under normal lighting and in total darkness. Trunk angular velocity and finger velocity relative to the trunk were higher in the fast conditions but were not affected by the presence or absence of vision. Peak trunk velocity increased with increasing trunk rotation up to a maximum of 200 degrees /s. In slow movements, peak finger velocity relative to the trunk was smaller when trunk rotation was necessary to reach the targets. In fast movements, peak finger velocity was approximately 1.7 m/s for all targets. Finger trajectories were more curved when reaching movements involved substantial trunk rotation; however, the terminal errors and the maximal deviation of the trajectory from a straight line were comparable in slow and fast movements. This pattern indicates that the larger Coriolis, centripetal, and inertial interaction torques generated during rapid reaches were compensated by additional joint torques. Trajectory characteristics did not vary with the presence or absence of vision, indicating that visual feedback was unnecessary for anticipatory compensations. In all reaches involving trunk rotation, the finger movement generally occurred entirely during the trunk movement, indicating that the CNS did not minimize Coriolis forces incumbent on trunk rotation by sequencing the arm and trunk motions into a turn followed by a reach. A simplified model of the arm/trunk system revealed that additional interaction torques generated on the arm during voluntary turning and reaching were equivalent to < or =1.8 g (1 g = 9.81 m/s(2)) of external force at the elbow but did not degrade performance. In slow-rotation room studies involving reaching movements during passive rotation, Coriolis forces as small as 0.2 g greatly deflect movement trajectories and endpoints. We conclude that compensatory motor innervations are engaged in a predictive fashion to counteract impending self-generated interaction torques during voluntary reaching movements.

Entities:  

Keywords:  NASA Discipline Neuroscience; Non-NASA Center

Mesh:

Year:  2003        PMID: 12522179     DOI: 10.1152/jn.00159.2001

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


  28 in total

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7.  Dynamics model for analyzing reaching movements during active and passive torso rotation.

Authors:  Simone B Bortolami; Pascale Pigeon; Paul Dizio; James R Lackner
Journal:  Exp Brain Res       Date:  2008-03-11       Impact factor: 1.972

8.  Adaptation to Coriolis perturbations of voluntary body sway transfers to preprogrammed fall-recovery behavior.

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9.  Immediate compensation for variations in self-generated Coriolis torques related to body dynamics and carried objects.

Authors:  Pascale Pigeon; Paul Dizio; James R Lackner
Journal:  J Neurophysiol       Date:  2013-06-26       Impact factor: 2.714

10.  Interlimb differences in coordination of rapid wrist/forearm movements.

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Journal:  Exp Brain Res       Date:  2020-02-14       Impact factor: 1.972

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