Literature DB >> 10465697

Influence of visual feedback on successive control mechanisms in upright quiet stance in humans assessed by fractional Brownian motion modelling.

P Rougier1.   

Abstract

An up-to-date way to model the centre of pressure (CP) trajectories may consist in using fractional Brownian motion (fBm). By doing so, one may note that standing still is in fact controlled by two separate and successive mechanisms. The point raised in this study concerns the nature of these control mechanisms and their level of interaction. Following this idea, visual feedback (VFB), which is known to affect postural control by significantly decreasing sway magnitudes, was used. Twelve healthy adults, instructed to stand as still as possible, were tested under this VFB protocol (via a PC screen). In order to model the CP trajectories as fBm, variograms (mean square distances, MSD, expressed as a function of increasing time intervals deltat) were bi-logarithmically plotted. The main visual effect of VFB on these variograms concerns longest latency scaling regimes which reveal less stochastic and consequently more accurate control (P < 0.05 and P < 0.01 for X and Y components, respectively). An increase in the MSD of the transition point, which corresponds to the switch between the two control mechanisms, is also noted (P < 0.05). Overall, evidence is provided from this data that long latency scaling regimes do operate through a feedback process. Interestingly, this improved determinism in feedback control in turn induces a similar effect on the control operating over the shortest deltat. Thus, by privileging a control strategy based on feedback mechanisms, VFB in turn would make the subjects quicker in their initial displacement in order to reach a position capable of initiating a feedback mechanism.

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Year:  1999        PMID: 10465697     DOI: 10.1016/s0304-3940(99)00272-4

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  6 in total

1.  Compatibility of postural behavior induced by two aspects of visual feedback: time delay and scale display.

Authors:  P Rougier
Journal:  Exp Brain Res       Date:  2005-05-05       Impact factor: 1.972

2.  Relation between postural control assessment with eyes open and centre of pressure visual feedback effects in healthy individuals.

Authors:  Samir Boudrahem; Patrice R Rougier
Journal:  Exp Brain Res       Date:  2009-03-24       Impact factor: 1.972

3.  Fractal properties of postural sway during quiet stance with changed visual and proprioceptive inputs.

Authors:  Katerina Stambolieva
Journal:  J Physiol Sci       Date:  2011-01-19       Impact factor: 2.781

4.  Transition from persistent to anti-persistent correlations in postural sway indicates velocity-based control.

Authors:  Didier Delignières; Kjerstin Torre; Pierre-Louis Bernard
Journal:  PLoS Comput Biol       Date:  2011-02-24       Impact factor: 4.475

5.  Influence of a portable audio-biofeedback device on structural properties of postural sway.

Authors:  Marco Dozza; Lorenzo Chiari; Becky Chan; Laura Rocchi; Fay B Horak; Angelo Cappello
Journal:  J Neuroeng Rehabil       Date:  2005-05-31       Impact factor: 4.262

Review 6.  On the role of auditory feedback in robot-assisted movement training after stroke: review of the literature.

Authors:  Giulio Rosati; Antonio Rodà; Federico Avanzini; Stefano Masiero
Journal:  Comput Intell Neurosci       Date:  2013-12-08
  6 in total

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