Experimental Brain Research

, Volume 167, Issue 2, pp 260–267

Sensory re-weighting in human postural control during moving-scene perturbations

Authors

  • Arash Mahboobin
    • Department of Electrical EngineeringUniversity of Pittsburgh
    • Department of Electrical EngineeringUniversity of Pittsburgh
    • Department of BioengineeringUniversity of Pittsburgh
  • Mark S. Redfern
    • Department of BioengineeringUniversity of Pittsburgh
    • Department of OtolaryngologyUniversity of Pittsburgh
  • Patrick J. Sparto
    • Department of BioengineeringUniversity of Pittsburgh
    • Department of OtolaryngologyUniversity of Pittsburgh
    • Department of Physical TherapyUniversity of Pittsburgh
Research Article

DOI: 10.1007/s00221-005-0053-7

Cite this article as:
Mahboobin, A., Loughlin, P.J., Redfern, M.S. et al. Exp Brain Res (2005) 167: 260. doi:10.1007/s00221-005-0053-7

Abstract

The aim of the current study was to further investigate a recently proposed “sensory re-weighting” hypothesis, by evoking anterior–posterior (AP) body sway using visual stimuli during sway-referencing of the support surface. Twelve healthy adults participated in this study. Subjects stood on the platform while looking at a visual scene that encompassed the full horizontal field of view. A sequence of scene movements was presented to the subjects consisting of multiple visual push/pull perturbations; in between the first two push/pull sequences, the scene either moved randomly or was stationary. The peak-squared velocity of AP center-of-pressure (COP) was computed within a 6 s window following each push and pull. The peak-squared velocity was lowest for the push/pull sequence immediately following the random moving scene. These results are consistent with the sensory re-weighting hypothesis, wherein the sensory integration process reduced the contribution of visual sensory input during the random moving scene interval. We also found evidence of habituation to moving scene perturbations with repeated exposure.

Keywords

FeedbackBalanceVisionSensory integration

Copyright information

© Springer-Verlag 2005