Joint angle variability and co-variation in a reaching with a rod task

The problem at the heart of motor control is how the myriad units of the neuromotor system are coordinated to perform goal-directed movements. Although for long these numerous degrees of freedom (DOFs) were considered redundant, recent views emphasize more that the DOFs should be considered abundant, allowing flexible performance. We studied how variability in arm joints was employed to stabilize the displaced end-effector in tool use to examine how the neuromotor system flexibly exploits DOFs in the upper extremity. Participants made pointing movements with the index finger and with the index finger extended by rods of 10, 20, and 30 cm. Using the uncontrolled manifold (UCM) method, the total joint angle variance was decomposed into two parts, the joint angle variance that did not affect the position of the end-effector (VUCM) and the variance that results in a deviation of the position of the end-effector from its mean (VORT). Analyses showed that some angles depended on length of the rod in use. For all rod lengths, VUCM was larger than VORT, and this did not differ over rod lengths, demonstrating that the arm was organized into a synergy. Finally, the variation in the joint angles in the arm as well as the degree of co-variation between these angles did not differ for the rod’s tip and the hand. We concluded that synergies are formed in the arm during reaching with an extended end-effector and those synergies stabilize different parts of the arm+rod system equally.

[1]  N. A. Bernshteĭn The co-ordination and regulation of movements , 1967 .

[2]  M. Carpenter The Co-ordination and Regulation of Movements , 1968 .

[3]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[4]  P. Lachenbruch Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[5]  G. Schöner Recent Developments and Problems in Human Movement Science and Their Conceptual Implications , 1995 .

[6]  M L Latash,et al.  On the problem of adequate language in motor control. , 1998, Motor control.

[7]  Gregor Schöner,et al.  The uncontrolled manifold concept: identifying control variables for a functional task , 1999, Experimental Brain Research.

[8]  Gregor Schöner,et al.  Identifying the control structure of multijoint coordination during pistol shooting , 2000, Experimental Brain Research.

[9]  D. Domkin,et al.  Structure of joint variability in bimanual pointing tasks , 2002, Experimental Brain Research.

[10]  Errol R Hoffmann,et al.  The effects of probe length on Fitts' law. , 2002, Applied ergonomics.

[11]  Gregor Schöner,et al.  Goal-equivalent joint coordination in pointing: affect of vision and arm dominance. , 2002, Motor control.

[12]  J. Algina,et al.  Generalized eta and omega squared statistics: measures of effect size for some common research designs. , 2003, Psychological methods.

[13]  Gregor Schöner,et al.  Effect of accuracy constraint on joint coordination during pointing movements , 2003, Experimental Brain Research.

[14]  Raoul M Bongers,et al.  Variations of Tool and Task Characteristics Reveal That Tool-Use Postures Are Anticipated , 2004, Journal of motor behavior.

[15]  Mark L. Latash,et al.  Joint angle variability in 3D bimanual pointing: uncontrolled manifold analysis , 2005, Experimental Brain Research.

[16]  A. Maravita,et al.  Tools for the body (schema) , 2004, Trends in Cognitive Sciences.

[17]  R. Bakeman Recommended effect size statistics for repeated measures designs , 2005, Behavior research methods.

[18]  Bryan Buchholz,et al.  ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand. , 2005, Journal of biomechanics.

[19]  M. Turvey Action and perception at the level of synergies. , 2007, Human movement science.

[20]  Sandra Maria Sbeghen Ferreira de Freitas,et al.  Effect of motor planning on use of motor abundance , 2007, Neuroscience Letters.

[21]  Gregor Schöner,et al.  Toward a new theory of motor synergies. , 2007, Motor control.

[22]  M. Latash,et al.  What do synergies do? Effects of secondary constraints on multidigit synergies in accurate force-production tasks. , 2008, Journal of neurophysiology.

[23]  Jaap Harlaar,et al.  Complete 3D kinematics of upper extremity functional tasks. , 2008, Gait & posture.

[24]  P. Gorce,et al.  Synergies during reach-to-grasp: A comparative study between healthy and C6–C7 quadriplegic subjects , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[25]  A. Roy,et al.  Tool-use induces morphological updating of the body schema , 2009, Current Biology.

[26]  Agnès Roby-Brami,et al.  The use of a tool requires its incorporation into the movement: Evidence from stick-pointing in apraxia , 2009, Cortex.

[27]  Wei Zhang,et al.  Mechanical analysis and hierarchies of multidigit synergies during accurate object rotation. , 2009, Motor control.

[28]  Philippe Gorce,et al.  Adaptation of joint flexibility during a reach-to-grasp movement. , 2009, Motor control.

[29]  Herbert Heuer,et al.  Trajectories in operating a handheld tool. , 2009, Journal of experimental psychology. Human perception and performance.

[30]  Alice C. Roy,et al.  Tool-use induces morphological updating of the body schema , 2009, Current Biology.

[31]  M. Arbib,et al.  Tool use and the distalization of the end-effector , 2009, Psychological research.

[32]  M. Latash,et al.  Multi-muscle synergies in a dual postural task: evidence for the principle of superposition , 2010, Experimental Brain Research.