Literature DB >> 27812748

Relationship between changes in vestibular sensory reweighting and postural control complexity.

Brian L Cone1, Daniel J Goble2, Christopher K Rhea3.   

Abstract

Complexity measures have become increasingly prominent in the postural control literature. Several studies have found associations between clinical balance improvements and complexity, but the relationship between sensory reweighting and complexity changes has remained unobserved. The purpose of this study was to determine the relationship between sensory reweighting via Wii Fit balance training and complexity. Twenty healthy adults completed 6 weeks of training. Participants completed the sensory organization test (SOT) before and after the sessions. Complexity of postural control was analyzed through sample entropy of the center-of-pressure velocity time series in the resultant, anterior-posterior (AP), and medial-lateral directions, and compared to SOT summary score changes. Significant differences were found between pre- and post-training for the condition five (p < .001, d = .525) and vestibular summary scores (p < .001, d = .611). Similarly, changes in complexity were observed from pre- to post-training in the resultant (p = .040, d = .427) direction. While the AP velocity was not significant (p = .07, d = .355), its effect size was moderate. A moderate correlation was revealed in the posttest between AP complexity and condition 5 (r = .442, p = .05), as well as between AP complexity and the vestibular summary score (r = .351, p = .13). The results of this study show that a moderate relationship exists between postural control complexity and the vestibular system, suggesting that complexity may reflect the neurosensory organization used to maintain upright stance.

Entities:  

Keywords:  Complexity; Entropy; Postural control; Sensory organization test

Mesh:

Year:  2016        PMID: 27812748     DOI: 10.1007/s00221-016-4814-2

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  38 in total

1.  Physiological time-series analysis using approximate entropy and sample entropy.

Authors:  J S Richman; J R Moorman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2000-06       Impact factor: 4.733

2.  Approximate entropy as a measure of system complexity.

Authors:  S M Pincus
Journal:  Proc Natl Acad Sci U S A       Date:  1991-03-15       Impact factor: 11.205

3.  Sensorimotor integration in human postural control.

Authors:  R J Peterka
Journal:  J Neurophysiol       Date:  2002-09       Impact factor: 2.714

4.  Complexity of human postural control in young and older adults during prolonged standing.

Authors:  Marcos Duarte; Dagmar Sternad
Journal:  Exp Brain Res       Date:  2008-08-12       Impact factor: 1.972

5.  On the use of sample entropy to analyze human postural sway data.

Authors:  Sofiane Ramdani; Benoît Seigle; Julien Lagarde; Frédéric Bouchara; Pierre Louis Bernard
Journal:  Med Eng Phys       Date:  2009-07-15       Impact factor: 2.242

Review 6.  The relevance of clinical balance assessment tools to differentiate balance deficits.

Authors:  M Mancini; F B Horak
Journal:  Eur J Phys Rehabil Med       Date:  2010-06       Impact factor: 2.874

7.  The dynamics of resting and postural tremor in Parkinson's disease.

Authors:  D E Vaillancourt; K M Newell
Journal:  Clin Neurophysiol       Date:  2000-11       Impact factor: 3.708

8.  Physiological complexity and system adaptability: evidence from postural control dynamics of older adults.

Authors:  Brad Manor; Madalena D Costa; Kun Hu; Elizabeth Newton; Olga Starobinets; Hyun Gu Kang; C K Peng; Vera Novak; Lewis A Lipsitz
Journal:  J Appl Physiol (1985)       Date:  2010-10-14

9.  Dynamic regulation of sensorimotor integration in human postural control.

Authors:  Robert J Peterka; Patrick J Loughlin
Journal:  J Neurophysiol       Date:  2003-09-17       Impact factor: 2.714

Review 10.  Physiologic complexity and aging: implications for physical function and rehabilitation.

Authors:  Brad Manor; Lewis A Lipsitz
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2012-09-15       Impact factor: 5.067

View more
  6 in total

1.  Postural control in top-level female volleyball players.

Authors:  Dorota Borzucka; Krzysztof Kręcisz; Zbigniew Rektor; Michał Kuczyński
Journal:  BMC Sports Sci Med Rehabil       Date:  2020-10-20

2.  On the effects of signal processing on sample entropy for postural control.

Authors:  Anat V Lubetzky; Daphna Harel; Eyal Lubetzky
Journal:  PLoS One       Date:  2018-03-01       Impact factor: 3.240

3.  The Effects of Active Self-correction on Postural Control in Girls with Adolescent Idiopathic Scoliosis: The Role of an Additional Mental Task.

Authors:  Elżbieta Piątek; Michał Kuczyński; Bożena Ostrowska
Journal:  Int J Environ Res Public Health       Date:  2020-03-03       Impact factor: 3.390

4.  Differences in static postural control between top level male volleyball players and non-athletes.

Authors:  Dorota Borzucka; Krzysztof Kręcisz; Zbigniew Rektor; Michał Kuczyński
Journal:  Sci Rep       Date:  2020-11-09       Impact factor: 4.379

5.  Direction-Specific Signatures of Sport Participation in Center of Pressure Profiles of Division I Athletes.

Authors:  Stephen M Glass; Scott E Ross
Journal:  Int J Sports Phys Ther       Date:  2021-10-01

6.  Postural control in girls with adolescent idiopathic scoliosis while wearing a Chêneau brace or performing active self-correction: a pilot study.

Authors:  Elżbieta Piątek; Michał Kuczyński; Bożena Ostrowska
Journal:  PeerJ       Date:  2019-08-29       Impact factor: 2.984

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.