Proprioceptive feedback is reduced during adaptation to a visuomotor transformation: preliminary findings

Adapting movements in relation to visual feedback is a ubiquitous characteristic of sensorimotor control and involves the integration of multiple sources of sensory information. We recorded sensory feedback from muscle spindle afferents during visuomotor adaptation while subjects performed an aiming task to investigate whether the activity of the muscle spindles was modulated by the fusimotor system under these learning conditions. None of the muscle spindles showed an increase in activity, rather in 83% of the trials the firing rates were decreased. These preliminary results suggest that the CNS reduces the sensory signals arising from muscle spindles perhaps as a means of resolving the conflict between visual and proprioceptive feedback during the task.

[1]  A. Prochazka.  Sensorimotor gain control: A basic strategy of motor systems? , 1989, Progress in Neurobiology.

[2]  Y Burnod,et al.  Learning a new visuomotor transformation: error correction and generalization. , 1995, Brain research. Cognitive brain research.

[3]  J. Kalaska,et al.  Cerebral cortical mechanisms of reaching movements. , 1992, Science.

[4]  D. Wolpert,et al.  Internal models in the cerebellum , 1998, Trends in Cognitive Sciences.

[5]  P. Zangger,et al.  ‘Fusimotor set’: new evidence for α-independent control of γ-motoneurones during movement in the awake cat , 1985, Brain Research.

[6]  J. Lackner,et al.  Aspects of body self-calibration , 2000, Trends in Cognitive Sciences.

[7]  J F Soechting,et al.  Moving in three-dimensional space: frames of reference, vectors, and coordinate systems. , 1992, Annual review of neuroscience.

[8]  Robert L. Sainburg,et al.  Spatial representations and internal models of limb dynamics in motor learning , 1999 .

[9]  A. Vallbo,et al.  Slowly adapting muscle receptors in man. , 1970, Acta physiologica Scandinavica.

[10]  C Ghez,et al.  Learning of Visuomotor Transformations for Vectorial Planning of Reaching Trajectories , 2000, The Journal of Neuroscience.

[11]  A B Vallbo,et al.  Directional tuning of human forearm muscle afferents during voluntary wrist movements , 2001, The Journal of physiology.

[12]  J. Wessberg,et al.  Fusimotor and skeletomotor activities are increased with precision finger movement in man. , 1996, The Journal of physiology.

[13]  K. Hagbarth,et al.  Invited review: Microneurography and applications to issues of motor control: Fifth annual stuart reiner memorial lecture , 1993, Muscle & nerve.

[14]  Lacquaniti,et al.  Visuo‐motor transformations for arm reaching , 1998, The European journal of neuroscience.

[15]  N Teasdale,et al.  Mirror drawing in a deafferented patient and normal subjects , 1992, Neurology.

[16]  John W. Krakauer,et al.  Independent learning of internal models for kinematic and dynamic control of reaching , 1999, Nature Neuroscience.

[17]  D M Wolpert,et al.  Multiple paired forward and inverse models for motor control , 1998, Neural Networks.

[18]  D. Burke,et al.  Mental rehearsal of motor tasks recruits α‐motoneurones but fails to recruit human fusimotor neurones selectively , 1997, The Journal of physiology.

[19]  A. Prochazka.  A vital clue: Kinesthetic input is greatly enhanced in sensorimotor “vigilance” , 1992 .

[20]  Zoubin Ghahramani,et al.  Modular decomposition in visuomotor learning , 1997, Nature.