Literature DB >> 18696056

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

Marcos Duarte1, Dagmar Sternad.   

Abstract

Aging is known to have a degrading influence on many structures and functions of the human sensorimotor system. The present work assessed aging-related changes in postural sway using fractal and complexity measures of the center of pressure (COP) dynamics with the hypothesis that complexity and fractality decreases in the older individuals. Older subjects (68 +/- 4 years) and young adult subjects (28 +/- 7 years) performed a quiet stance task (60 s) and a prolonged standing task (30 min) where subjects were allowed to move freely. Long-range correlations (fractality) of the data were estimated by the detrended fluctuation analysis (DFA); changes in entropy were estimated by the multi-scale entropy (MSE) measure. The DFA results showed that the fractal dimension was lower for the older subjects in comparison to the young adults but the fractal dimensions of both groups were not different from a 1/f noise, for time intervals between 10 and 600 s. The MSE analysis performed with the typically applied adjustment to the criterion distance showed a higher degree of complexity in the older subjects, which is inconsistent with the hypothesis that complexity in the human physiological system decreases with aging. The same MSE analysis performed without adjustment showed no differences between the groups. Taken all results together, the decrease in total postural sway and long-range correlations in older individuals are signs of an adaptation process reflecting the diminishing ability to generate adequate responses on a longer time scale.

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Year:  2008        PMID: 18696056     DOI: 10.1007/s00221-008-1521-7

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


  26 in total

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Authors:  S M Pincus
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4.  Multiscale entropy analysis of complex physiologic time series.

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7.  Patterns of center of presure migration during prolonged unconstrained standing.

Authors:  M Duarte; V M Zatsiorsky
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8.  Instant equilibrium point and its migration in standing tasks: rambling and trembling components of the stabilogram.

Authors:  V M Zatsiorsky; M Duarte
Journal:  Motor Control       Date:  1999-01       Impact factor: 1.422

9.  Open-loop and closed-loop control of posture: a random-walk analysis of center-of-pressure trajectories.

Authors:  J J Collins; C J De Luca
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

10.  Noise and poise: Enhancement of postural complexity in the elderly with a stochastic-resonance-based therapy.

Authors:  M Costa; A A Priplata; L A Lipsitz; Z Wu; N E Huang; A L Goldberger; C-K Peng
Journal:  Europhys Lett       Date:  2007-03       Impact factor: 1.947

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  46 in total

1.  The inflow of sensory information for the control of standing is graded and bidirectional.

Authors:  Behdad Tahayori; Nicholas L Port; David M Koceja
Journal:  Exp Brain Res       Date:  2012-04       Impact factor: 1.972

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

Authors:  Brian L Cone; Daniel J Goble; Christopher K Rhea
Journal:  Exp Brain Res       Date:  2016-11-03       Impact factor: 1.972

6.  Effects of cognitive load on the amount and temporal structure of postural sway variability in stroke survivors.

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7.  Measuring vocal motor skill with a virtual voice-controlled slingshot.

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8.  Aging affects postural tracking of complex visual motion cues.

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Review 9.  Physiologic complexity and aging: implications for physical function and rehabilitation.

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10.  Patterns of postural sway in high anxious children.

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Journal:  Behav Brain Funct       Date:  2009-10-02       Impact factor: 3.759

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