Limb stiffness is modulated with spatial accuracy requirements during movement in the absence of destabilizing forces.

The motor system can use a number of mechanisms to increase movement accuracy and compensate for perturbing external forces, interaction torques, and neuromuscular noise. Empirical studies have shown that stiffness modulation is one adaptive mechanism used to control arm movements in the presence of destabilizing external force loads. Other work has shown that arm muscle activity is increased at movement end for reaching movements to small visual targets and that changes in stiffness at movement end are oriented to match changes in visual accuracy requirements such as target shape. In this study, we assess whether limb stiffness is modulated to match spatial accuracy requirements during movement, conveyed using visual stimuli, in the absence of external force loads. Limb stiffness was estimated in the middle of reaching movements to visual targets located at the end of a narrow (8 mm) or wide (8 cm) visual track. When greater movement accuracy was required, we observed modest but reliable increases in limb stiffness in a direction perpendicular to the track. These findings support the notion that the motor system uses stiffness control to augment movement accuracy during movement and does so in the absence of external unstable force loads, in response to changing accuracy requirements conveyed using visual cues.

[1]  T. Milner Adaptation to destabilizing dynamics by means of muscle cocontraction , 2002, Experimental Brain Research.

[2]  Rieko Osu,et al.  The central nervous system stabilizes unstable dynamics by learning optimal impedance , 2001, Nature.

[3]  D. Ostry,et al.  Relationship between jaw stiffness and kinematic variability in speech. , 2002, Journal of neurophysiology.

[4]  D. Ostry,et al.  Relationship between cocontraction, movement kinematics and phasic muscle activity in single-joint arm movement , 2001, Experimental Brain Research.

[5]  D. Ostry,et al.  Independent coactivation of shoulder and elbow muscles , 1998, Experimental Brain Research.

[6]  Kelvin E. Jones,et al.  The scaling of motor noise with muscle strength and motor unit number in humans , 2004, Experimental Brain Research.

[7]  D. Ostry,et al.  Control of hand impedance under static conditions and during reaching movement. , 2007, Journal of neurophysiology.

[8]  E. Todorov Direct cortical control of muscle activation in voluntary arm movements: a model , 2000, Nature Neuroscience.

[9]  Anatol G. Feldman,et al.  The relationship between control, kinematic and electromyographic variables in fast single-joint movements in humans , 2004, Experimental Brain Research.

[10]  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.

[11]  G. Lewis,et al.  Interactions with compliant loads alter stretch reflex gains but not intermuscular coordination. , 2008, Journal of neurophysiology.

[12]  D. J. Bennett,et al.  Electromyographic responses to constant position errors imposed during voluntary elbow joint movement in human , 2004, Experimental Brain Research.

[13]  Paul L Gribble,et al.  Role of cocontraction in arm movement accuracy. , 2003, Journal of neurophysiology.

[14]  R. J. van Beers,et al.  The role of execution noise in movement variability. , 2004, Journal of neurophysiology.

[15]  H. Gomi,et al.  Multijoint muscle regulation mechanisms examined by measured human arm stiffness and EMG signals. , 1999, Journal of neurophysiology.

[16]  M. Kawato,et al.  Optimal impedance control for task achievement in the presence of signal-dependent noise. , 2004, Journal of neurophysiology.

[17]  Reza Shadmehr,et al.  Computational nature of human adaptive control during learning of reaching movements in force fields , 1999, Biological Cybernetics.

[18]  Peter J. Beek,et al.  Impedance is modulated to meet accuracy demands during goal-directed arm movements , 2006, Experimental Brain Research.

[19]  Peter J Beek,et al.  Impedance modulation and feedback corrections in tracking targets of variable size and frequency. , 2006, Journal of neurophysiology.

[20]  P. Crago,et al.  Multijoint dynamics and postural stability of the human arm , 2004, Experimental Brain Research.

[21]  Eric J Perreault,et al.  Voluntary control of static endpoint stiffness during force regulation tasks. , 2002, Journal of neurophysiology.

[22]  F. Lacquaniti,et al.  The role of preparation in tuning anticipatory and reflex responses during catching , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[23]  Fethi Ben Ouezdou,et al.  Adjustment of the human arm viscoelastic properties to the direction of reaching , 2006, Biological Cybernetics.

[24]  P L Gribble,et al.  Inter-joint coupling strategy during adaptation to novel viscous loads in human arm movement. , 2004, Journal of neurophysiology.

[26]  L. Selen,et al.  Fatigue-induced changes of impedance and performance in target tracking , 2007, Experimental Brain Research.

[27]  C. D. Mah Spatial and temporal modulation of joint stiffness during multijoint movement , 2001, Experimental Brain Research.

[28]  Rieko Osu,et al.  Endpoint Stiffness of the Arm Is Directionally Tuned to Instability in the Environment , 2007, The Journal of Neuroscience.

[29]  M. Kawato,et al.  Functional significance of stiffness in adaptation of multijoint arm movements to stable and unstable dynamics , 2003, Experimental Brain Research.

[30]  G. Koshland,et al.  Control of the wrist in three-joint arm movements to multiple directions in the horizontal plane. , 2000, Journal of neurophysiology.

[31]  Daniel R Lametti,et al.  Control of movement variability and the regulation of limb impedance. , 2007, Journal of neurophysiology.

[32]  Elizabeth T Wilson,et al.  The influence of visual perturbations on the neural control of limb stiffness. , 2009, Journal of neurophysiology.