Bimanual proprioception: are two hands better than one?

Abstract:

:Information about the position of an object that is held in both hands, such as a golf club or a tennis racquet, is transmitted to the human central nervous system from peripheral sensors in both left and right arms. How does the brain combine these two sources of information? Using a robot to move participant's passive limbs, we performed psychophysical estimates of proprioceptive function for each limb independently and again when subjects grasped the robot handle with both arms. We compared empirical estimates of bimanual proprioception to several models from the sensory integration literature: some that propose a combination of signals from the left and right arms (such as a Bayesian maximum-likelihood estimate), and some that propose using unimanual signals alone. Our results are consistent with the hypothesis that the nervous system both has knowledge of and uses the limb with the best proprioceptive acuity for bimanual proprioception. Surprisingly, a Bayesian model that postulates optimal combination of sensory signals could not predict empirically observed bimanual acuity. These findings suggest that while the central nervous system seems to have information about the relative sensory acuity of each limb, it uses this information in a rather rudimentary fashion, essentially ignoring information from the less reliable limb.

journal_name

J Neurophysiol

authors

Wong JD,Wilson ET,Kistemaker DA,Gribble PL

doi

10.1152/jn.00537.2013

subject

Has Abstract

pub_date

2014-03-01 00:00:00

pages

1362-8

issue

6

eissn

0022-3077

issn

1522-1598

pii

jn.00537.2013

journal_volume

111

pub_type

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