Abstract
Activities of daily living require maintaining upright posture within a variety of environmental constraints. A healthy postural control system can adapt to different environmental constraints. Afferent sensory information is used to determine where the body is in relation to the gravitational vertical and efferent motor commands make corrections with the goal of keeping the center of mass within the base of support. The purpose of this research was to understand how vision, direction of translation, and the temporal correlation of the support surface stimuli affected the persistence characteristics of postural dynamics on short and long time scales. Ten healthy young adults performed a standing task with either eyes open or closed, oriented anteriorly or mediolaterally while the support surface underwent structured translations based on different levels of temporal correlation—white noise (no correlation), pink noise (moderate correlation), and red noise and sinusoidal movements (strong correlations). Center of pressure velocity was analyzed using fractal analysis to determine the dynamics of postural control. On the short time scale, persistence was shown to be stronger with eyes closed, in the mediolateral direction, and when the structure of translation contained stronger temporal correlation. On the long time scale, anti-persistence was stronger with eyes closed, in the mediolateral direction, and for all structures of movement except red noise. This study provides deeper insight into the flexibility existing in human movement responses to structured environmental stimuli through the fractal analysis of movement variability.
Similar content being viewed by others
References
Asslander L, Hettich G, Mergner T (2015) Visual contribution to human standing balance during support surface tilts. Hum Mov Sci 41:147–164. https://doi.org/10.1016/j.humov.2015.02.010
Bergland A, Jarnlo G-B, Laake K (2003) Predictors of falls in the elderly by location. Aging Clin Exp Res 15:43–50
Buchanan JJ, Horak FB (1999) Emergence of postural patterns as a function of vision and translation frequency. J Neurophysiol 81:2325–2339
Buchanan JJ, Horak FB (2000) Vestibular loss disrupts control of head and trunk on a sinusoidally moving platform. J Vestib Res Equilib Orientat 11:371–389
Buchanan J, Horak F (2001) Transitions in a postural task: do the recruitment and suppression of degrees of freedom stabilize posture? Exp Brain Res 139:482–494. https://doi.org/10.1007/s002210100798
Corna S, Tarantola J, Nardone A, Giordano A, Schieppati M (1999) Standing on a continuously moving platform: is body inertia counteracted or exploited? Exp Brain Res 124:331–341. https://doi.org/10.1007/s002210050630
Delignieres D, Torre K, Bernard PL (2011) Transition from persistent to anti-persistent correlations in postural sway indicates velocity-based control. PLoS Comput Biol. https://doi.org/10.1371/journal.pcbi.1001089
Diener HC, Dichgans J, Bacher M, Gompf B (1984) Quantification of postural sway in normals and patients with cerebellar diseases. Electroencephalogr Clin Neurophysiol 57:134–142
Gilfriche P, Deschodt-Arsac V, Blons E, Arsac LM (2018) Frequency-specific fractal analysis of postural control accounts for control strategies. Front Physiol 9:293. https://doi.org/10.3389/fphys.2018.00293
Hatzitaki V, Stergiou N, Sofianidis G, Kyvelidou A (2015) Postural sway and gaze can track the complex motion of a visual target. PLoS One 10:e0119828. https://doi.org/10.1371/journal.pone.0119828
Hausdorff JM (2007) Gait dynamics, fractals and falls: finding meaning in the stride-to-stride fluctuations of human walking. Hum Mov Sci 26:555–589. https://doi.org/10.1016/j.humov.2007.05.003
Jeka J, Kiemel T, Creath R, Horak F, Peterka R (2004) Controlling human upright posture: velocity information is more accurate than position or acceleration. J Neurophysiol 92:2368–2379. https://doi.org/10.1152/jn.00983.2003
Kennedy PM, Inglis JT (2002) Distribution and behaviour of glabrous cutaneous receptors in the human foot sole. J Physiol 538:995–1002
Ko JH, Challis JH, Newell KM (2013) Postural coordination patterns as a function of rhythmical dynamics of the surface of support. Exp Brain Res 226:183–191. https://doi.org/10.1007/s00221-013-3424-5
Liebovitch LS, Yang W (1997) Transition from persistent to antipersistent correlation in biological systems. Phys Rev E 56:4557
Maki BE, Holliday PJ, Topper AK (1994) A prospective study of postural balance and risk of falling in an ambulatory and independent elderly population. J Gerontol 49:M72–M84
Masani K, Popovic MR, Nakazawa K, Kouzaki M, Nozaki D (2003) Importance of body sway velocity information in controlling ankle extensor activities during quiet stance. J Neurophysiol 90:3774–3782. https://doi.org/10.1152/jn.00730.2002
Mukherjee M, Yentes J (2018) Movement variability: a perspective on success in sports, health, and life. Scand J Med Sci Sports 28:758–759
Nardone A, Grasso M, Tarantola J, Corna S, Schieppati M (2000) Postural coordination in elderly subjects standing on a periodically moving platform. Arch Phys Med Rehabil 81:1217–1223. https://doi.org/10.1053/apmr.2000.6286
Nashner LM, Black FO, Wall C (1982) Adaptation to altered support and visual conditions during stance: patients with vestibular deficits. J Neurosci 2:536–544
Newell KM, Gao F, Sprague RL (1995) The dynamical structure of tremor in tardive dyskinesia. Chaos Interdiscip J Nonlinear Sci 5:43–47
Rand TJ, Mukherjee M (2018) Transitions in persistence of postural dynamics depend on the velocity and structure of postural perturbations. Exp Brain Res. https://doi.org/10.1007/s00221-018-5235-1
Rand TJ, Myers SA, Kyvelidou A, Mukherjee M (2015) Temporal structure of support surface translations drive the temporal structure of postural control during standing. Ann Biomed Eng 43:2699–2707. https://doi.org/10.1007/s10439-015-1336-1
Rhea CK, Kiefer AW, D’Andrea SE, Warren WH, Aaron RK (2014) Entrainment to a real time fractal visual stimulus modulates fractal gait dynamics. Hum Mov Sci 36C:20–34. https://doi.org/10.1016/j.humov.2014.04.006
Rhea CK, Kiefer AW, Wright WG, Raisbeck LD, Haran FJ (2015) Interpretation of postural control may change due to data processing techniques. Gait Posture 41(2):731–735. https://doi.org/10.1016/j.gaitpost.2015.01.008
Stergiou N, Decker LM (2011) Human movement variability, nonlinear dynamics, and pathology: is there a connection? Hum Mov Sci 30:869–888. https://doi.org/10.1016/j.humov.2011.06.002
Vaillancourt DE, Newell KM (2000) The dynamics of resting and postural tremor in Parkinson’s disease. Clin Neurophysiol 111:2046–2056
Varlet M, Bardy BG, Chen FC, Alcantara C, Stoffregen TA (2015) Coupling of postural activity with motion of a ship at sea. Exp Brain Res 233:1607–1616. https://doi.org/10.1007/s00221-015-4235-7
West BJ, Scafetta N (2003) Nonlinear dynamical model of human gait. Phys Rev E 67:051917. https://doi.org/10.1103/PhysRevE.67.051917
Acknowledgements
This study was supported by the Centers of Biomedical Research Excellence grant (1P20GM109090-01) from NIGMS/NIH, a NASA EPSCoR grant (80NSSC18M0076), a NASA Nebraska EPSCoR research mini-grant and an American Heart Association award (18AIREA33960251) for MM and a Graduate Research and Creative Activity Award (GRACA) for TR. The content is solely the responsibility of the authors and does not necessarily represent the official views of NASA, NIH or AHA.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Rand, T.J., Ambati, V.N.P. & Mukherjee, M. Persistence in postural dynamics is dependent on constraints of vision, postural orientation, and the temporal structure of support surface translations. Exp Brain Res 237, 601–610 (2019). https://doi.org/10.1007/s00221-018-5444-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00221-018-5444-7