Circle-drawing movements at different speeds: role of inertial anisotropy.

This study investigated the role of inertial anisotropy at the hand in causing distortions in movement. Subjects drew circles in the horizontal plane at four locations in the workspace at three instructed paces using elbow and shoulder movements. Specifically, we tested two hypotheses, which we would expect if the anisotropy of inertia were not completely accounted for by the CNS when generating circle-drawing movements: 1) speed will affect the circularity of figures, with faster movements associated with greater elongation into an oval shape, irrespective of workspace location for configurations with a similar angle between the forearm and upper arm. 2) The elongation of the circle at fast speeds will be in the direction of least inertia. The results showed that despite individual differences in the speed dependence of the relative motions at the elbow and the shoulder, the circularity decreased (distortion increased) with increased speed, and workspace location had no effect on circularity. We also found that the elongation of the circles at fast speeds was in a direction close to but significantly different from the direction of least inertia for three workspace locations and was in the direction of least inertia for the fourth location. We suggest that the elongation results from lack of full accounting by the CNS of the anisotropy of viscosity and inertia.

[1]  J. Lackner,et al.  Rapid adaptation to Coriolis force perturbations of arm trajectory. , 1994, Journal of neurophysiology.

[2]  D M Corcos,et al.  Organizing principles for single-joint movements. I. A speed-insensitive strategy. , 1989, Journal of neurophysiology.

[3]  Michael I. Jordan,et al.  Obstacle Avoidance and a Perturbation Sensitivity Model for Motor Planning , 1997, The Journal of Neuroscience.

[4]  J. Kalaska,et al.  A comparison of movement direction-related versus load direction- related activity in primate motor cortex, using a two-dimensional reaching task , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[5]  F. Lacquaniti,et al.  Kinematic coordination in human gait: relation to mechanical energy cost. , 1998, Journal of neurophysiology.

[6]  E. Bizzi,et al.  Postural force fields of the human arm and their role in generating multijoint movements , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[7]  J. F. Soechting,et al.  An algorithm for the generation of curvilinear wrist motion in an arbitrary plane in three-dimensional space , 1986, Neuroscience.

[8]  R L Sainburg,et al.  Intersegmental dynamics are controlled by sequential anticipatory, error correction, and postural mechanisms. , 1999, Journal of neurophysiology.

[9]  J. J. Schillings,et al.  Limb Segment Recruitment as Function of Movement Direction, Amplitude, and Speed. , 1996, Journal of motor behavior.

[10]  Neville Hogan,et al.  The mechanics of multi-joint posture and movement control , 1985, Biological Cybernetics.

[11]  J. F. Soechting,et al.  Early stages in a sensorimotor transformation , 1992, Behavioral and Brain Sciences.

[12]  Stephan P. Swinnen,et al.  Proprioceptive control of multijoint movement: bimanual circle drawing , 1999, Experimental Brain Research.

[13]  D. Rosenbaum,et al.  Speed and sequential effects in reaching. , 1997, Journal of experimental psychology. Human perception and performance.

[14]  Helen Brown,et al.  Applied Mixed Models in Medicine , 2000, Technometrics.

[15]  W. Wheeler,et al.  Dissociation between hand motion and population vectors from neural activity in motor cortex , 2022 .

[16]  J. Mosimann,et al.  On the normality of transformed beta and unit- gamma random variables , 1990 .

[17]  Z. Hasan,et al.  Timing and magnitude of electromyographic activity for two-joint arm movements in different directions. , 1991, Journal of neurophysiology.

[18]  John M. Hollerbach,et al.  Dynamic interactions between limb segments during planar arm movement , 1982, Biological Cybernetics.

[19]  William H. Press,et al.  Numerical Recipes in FORTRAN - The Art of Scientific Computing, 2nd Edition , 1987 .

[20]  E. Bizzi,et al.  Neuronal Correlates of Motor Performance and Motor Learning in the Primary Motor Cortex of Monkeys Adapting to an External Force Field , 2001, Neuron.

[21]  S. Jaric,et al.  Changes in the symmetry of rapid movements Effects of velocity and viscosity , 1998, Experimental Brain Research.

[22]  N. A. Borghese,et al.  Time-varying mechanical behavior of multijointed arm in man. , 1993, Journal of neurophysiology.

[23]  M. E. Anderson,et al.  Directional variation of spatial and temporal characteristics of limb movements made by monkeys in a two-dimensional work space. , 1995, Journal of neurophysiology.

[24]  C. Wright,et al.  Evaluating the special role of time in the control of handwriting. , 1993, Acta psychologica.

[25]  H N Zelaznik,et al.  The role of vision in repetitive circle drawing. , 1996, Acta psychologica.

[26]  Michael I. Jordan,et al.  The Role of Inertial Sensitivity in Motor Planning , 1998, The Journal of Neuroscience.

[27]  E. Bizzi,et al.  Neural, mechanical, and geometric factors subserving arm posture in humans , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[28]  J. Kelso Phase transitions and critical behavior in human bimanual coordination. , 1984, The American journal of physiology.

[29]  Norimasa Yamada,et al.  Postural coordination patterns associated with the swinging frequency of arms , 2001, Experimental Brain Research.

[30]  J. F. Soechting,et al.  Coordination of arm movements in three-dimensional space. Sensorimotor mapping during drawing movement , 1986, Neuroscience.

[31]  H Hayasaki,et al.  The effects of chewing rates on mandibular kinematics. , 2001, Journal of oral rehabilitation.

[32]  Toshio Tsuji,et al.  Human hand impedance characteristics during maintained posture , 1995, Biological Cybernetics.

[33]  G. E. Stelmach,et al.  Interjoint coordination during handwriting-like movements , 2000, Experimental Brain Research.

[34]  S. A. Wallace,et al.  Order parameters for the neural organization of single, multijoint limb movement patterns , 2004, Experimental Brain Research.

[35]  J. Gordon,et al.  Accuracy of planar reaching movements , 1994, Experimental Brain Research.

[36]  F. G. Evans,et al.  Anatomical Data for Analyzing Human Motion , 1983 .

[37]  J. Flanagan,et al.  The Inertial Anisotropy of the Arm Is Accurately Predicted during Movement Planning , 2001, The Journal of Neuroscience.

[38]  G L Gottlieb,et al.  On the voluntary movement of compliant (inertial-viscoelastic) loads by parcellated control mechanisms. , 1996, Journal of neurophysiology.

[39]  Stephan P. Swinnen,et al.  Proprioceptive control of multijoint movement: unimanual circle drawing , 1999, Experimental Brain Research.

[40]  Mitsuo Kawato,et al.  Human arm stiffness and equilibrium-point trajectory during multi-joint movement , 1997, Biological Cybernetics.

[41]  William H. Press,et al.  Numerical recipes in C. The art of scientific computing , 1987 .

[42]  D A Hong,et al.  Task dependent patterns of muscle activation at the shoulder and elbow for unconstrained arm movements. , 1994, Journal of neurophysiology.

[43]  James Gordon,et al.  Accuracy of planar reaching movements , 1994, Experimental Brain Research.

[44]  D. Carey,et al.  Hemispatial differences in visually guided aiming are neither hemispatial nor visual , 2001, Neuropsychologia.