Experimental Brain Research

, Volume 197, Issue 3, pp 297–310 | Cite as

Multiple timescales in postural dynamics associated with vision and a secondary task are revealed by wavelet analysis

  • James R. Chagdes
  • Shirley Rietdyk
  • Jeff M. Haddad
  • Howard N. Zelaznik
  • Arvind Raman
  • Christopher K. Rhea
  • Tobin A. Silver
Research Article

Abstract

Discrete wavelet analysis is used to resolve the center of pressure time series data into several timescale components, providing new insights into postural control. Healthy young and elderly participants stood quietly with their eyes open or closed and either performed a secondary task or stood quietly. Without vision, both younger and older participants had reduced energy in the long timescales, supporting the concept that vision is used to control low frequency postural sway. Furthermore, energy was increased at timescales corresponding to closed-loop (somatosensory and vestibular) and open-loop mechanisms, consistent with the idea of a shift from visual control to other control mechanisms. However, a relatively greater increase was observed for older adults. With a secondary task a similar pattern was observed—increased energy at the short and moderate timescales, decreased energy at long timescales. The possibility of a common strategy—at the timescale level—in response to postural perturbations is considered.

Keywords

Postural dynamics Wavelets Nonlinear dynamics Dual-task Vision Aging Timescales 

References

  1. Addison P (2002) The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance. CRC Press, New YorkGoogle Scholar
  2. Bertrand P, Bardet JM, Dabonneville M, Mouzat A, Vaslin P (2001) Automatic determination of the different control mechanisms in upright position by a wavelet method. In: 23rd annual international conference of the IEEE Engineering in Medicine and Biology Society. IEEE, Istanbul, Turkey, pp 1163–1166Google Scholar
  3. Blaszczyk JW, Orawiec R, Duda-Kiodowska D, Opala G (2007) Assessment of postural instability in patients with Parkinson’s disease. Exp Brain Res 183:107–114PubMedCrossRefGoogle Scholar
  4. Carello C, Turvey MT, Kugler PN (1985) The informational support for upright stance. Behav Brain Sci 8:151–152CrossRefGoogle Scholar
  5. Carroll JP, Freedman W (1993) Nonstationary properties of postural sway. J Biomech 26:409–416PubMedCrossRefGoogle Scholar
  6. Cavanaugh JT, Guskiewicz KM, Stergiou N (2005) A nonlinear dynamic approach for evaluating postural control—new directions for the management of sport-related cerebral concussion. Sports Med 35:935–950PubMedCrossRefGoogle Scholar
  7. Collins JJ, Deluca CJ (1993) Open-loop and closed-loop control of posture—a random-walk analysis of center-of-pressure trajectories. Exp Brain Res 95:308–318PubMedCrossRefGoogle Scholar
  8. Collins JJ, Deluca CJ (1994) Random walking during quiet standing. Phys Rev Lett 73:764–767PubMedCrossRefGoogle Scholar
  9. Collins JJ, Deluca CJ (1995) The effects of visual input on open-loop and closed-loop postural control mechanisms. Exp Brain Res 103:151–163PubMedCrossRefGoogle Scholar
  10. Collins JJ, Deluca CJ, Burrows A, Lipsitz LA (1995) Age-related-changes in open-loop and closed-loop postural control mechanisms. Exp Brain Res 104:480–492PubMedCrossRefGoogle Scholar
  11. Dault MC, Frank JS (2004) Does practice modify the relationship between postural control and the execution of a secondary task in young and older individuals? Gerontology 50:157–164PubMedCrossRefGoogle Scholar
  12. Davis JR, Campbell AD, Adkin AL, Carpenter MG (2009) The relationship between fear of falling and human postural control. Gait Posture 29:275–279PubMedCrossRefGoogle Scholar
  13. Donker SF, Roerdink M, Greven AJ, Beek PJ (2007) Regularity of center-of-pressure trajectories depends on the amount of attention invested in postural control. Exp Brain Res 181:1–11PubMedCrossRefGoogle Scholar
  14. Duarte M, Zatsiorsky VM (2001) Long-range correlations in human standing. Phys Lett A 283:124–128CrossRefGoogle Scholar
  15. Gauchard GC, Jeandel C, Tessier A, Perrin PP (1999) Beneficial effect of proprioceptive physical activities on balance control in elderly human subjects. Neurosci Lett 273:81–84PubMedCrossRefGoogle Scholar
  16. Gepner B, Mestre DR (2002) Brief report: Postural reactivity to fast visual motion differentiates autistic from children with asperger syndrome. J Autism Dev Disord 32:231–238PubMedCrossRefGoogle Scholar
  17. Gibson JJ (1979) The ecological approach to visual perception. Houghton Mifflin, Boston, MAGoogle Scholar
  18. Guerraz M, Bronstein AM (2008) Mechanisms underlying visually induced body sway. Neurosci Lett 443:12–16PubMedCrossRefGoogle Scholar
  19. Guerraz M, Yardley L, Bertholon P, Pollak L, Rudge P, Gresty MA, Bronstein AM (2001) Visual vertigo: symptom assessment, spatial orientation and postural control. Brain 124:1646–1656PubMedCrossRefGoogle Scholar
  20. Haddad JM, Van Emmerik REA, Wheat JS, Hamill J (2008) Developmental changes in the dynamical structure of postural sway during a precision fitting task. Exp Brain Res 190:431–441PubMedCrossRefGoogle Scholar
  21. Horak FB (2004) Postural orientation and equilibrium: what do we need to know about neural control of balance to prevent falls? In: International symposium on preventing falls and fractures in older people. Oxford University Press, Yokohama, pp 7–11Google Scholar
  22. Horak FB, Machpherson JM (1996) Postural orientation and equilibrium. In: Handbook of physiology. Exercise: regulation and integration of multiple systems. Oxford University Press, New York, pp 255–292Google Scholar
  23. Huxhold O, Li SC, Schmiedek F, Lindenberger U (2006) Dual-tasking postural control: aging and the effects of cognitive demand in conjunction with focus of attention. Brain Res Bull 69:294–305PubMedCrossRefGoogle Scholar
  24. Ivry RB, Spencer RM, Zelaznik HN, Diedrichsen J (2001) The cerebellum and event timing. In: Highstein TM, Thach WT (eds) Conference on recent developments in cerebellar research, St Louis, Missouri, pp 302–317Google Scholar
  25. Kahneman D (1973) Attention and effort. Prentice Hall, Englewood CliffsGoogle Scholar
  26. Khandoker AH, Lai DTH, Begg RK, Palaniswami M (2007) Wavelet-based feature extraction for support vector machines for screening balance impairments in the elderly. IEEE Trans Neural Syst Rehabil Eng 15:587–597PubMedCrossRefGoogle Scholar
  27. Kinsella-Shaw JM, Harrison SJ, Colon-Semenza C, Turvey MT (2006) Effects of visual environment on quiet standing by young and old adults. J Mot Behav 38:251–264PubMedCrossRefGoogle Scholar
  28. Lackner JR, DiZio P, Jeka J, Horak F, Krebs D, Rabin F (1999) Precision contact of the fingertip reduces postural sway of individuals with bilateral vestibular loss. Exp Brain Res 126:459–466PubMedCrossRefGoogle Scholar
  29. Ladislao L, Fioretti S (2007) Nonlinear analysis of posturographic data. Med Biol Eng Compu 45:679–688CrossRefGoogle Scholar
  30. Laufer Y, Barak Y, Chemel I (2006) Age-related differences in the effect of a perceived threat to stability on postural control. J Gerontol A Biol Sci Med Sci 61:500–504PubMedGoogle Scholar
  31. Misiti M, Misiti Y, Oppenheim G, Jean-Michel P (1996) Wavelet toolbox: for use with MATLAB. The Mathworks Inc., Natick, MAGoogle Scholar
  32. Morales CJ, Kolaczyk ED (2002) Wavelet-based multifractal analysis of human balance. Ann Biomed Eng 30:588–597PubMedCrossRefGoogle Scholar
  33. Oppenheim U, Kohen-Raz R, Alex D, Kohen-Raz A, Azarya M (1999) Postural characteristics of diabetic neuropathy. Diabetes Care 22:328–332PubMedCrossRefGoogle Scholar
  34. Paulus WM, Straube A, Brandt T (1984) Visual stabilization of posture—physiological stimulus characteristics and clinical aspects. Brain 107:1143–1163PubMedCrossRefGoogle Scholar
  35. Perrin P, Deviterne D, Hugel F, Perrot C (2002) Judo, better than dance, develops sensorimotor adaptabilities involved in balance control. Gait Posture 15:187–194PubMedCrossRefGoogle Scholar
  36. Peterka RJ (2002) Sensorimotor integration in human postural control. J Neurophysiol 88:1097–1118PubMedGoogle Scholar
  37. Querner V, Krafczyk S, Dieterich M, Brandt T (2000) Patients with somatoform phobic postural vertigo: the more difficult the balance task, the better the balance performance. Neurosci Lett 285:21–24PubMedCrossRefGoogle Scholar
  38. Rama-Lopez J, Perez N, Vila EM (2004) Dynamic posture assessment in patients with peripheral vestibulopathy. Acta Otolaryngol 124:700–705PubMedCrossRefGoogle Scholar
  39. Riccio GE (1991) Information in movement variability about the qualitative dynamics of posture and orientation. In: Newell KM, M CD (eds) Conference on variability and motor control. Human Kinetics Publishers, Chicago, IL, pp 317–357Google Scholar
  40. Riccio GE, Stoffregen TA (1988) Affordances as constraints on the control of stance. Hum Mov Sci 7:265–300CrossRefGoogle Scholar
  41. Riley MA, Balasubramaniam R, Turvey MT (1999) Recurrence quantification analysis of postural fluctuations. Gait Posture 9:65–78PubMedCrossRefGoogle Scholar
  42. Roerdink M, De Haart M, Daffertshofer A, Donker SF, Geurts ACH, Beek PJ (2006) Dynamical structure of center-of-pressure trajectories in patients recovering from stroke. Exp Brain Res 174:256–269PubMedCrossRefGoogle Scholar
  43. Schmit JM, Riley MA, Dalvi A, Sahay A, Shear PK, Shockley KD, Pun RYK (2006) Deterministic center of pressure patterns characterize postural instability in Parkinson’s disease. Exp Brain Res 168:357–367PubMedCrossRefGoogle Scholar
  44. Schumann T, Redfern MS, Furman JM, Eljaroudi A, Chaparro LF (1995) Time-frequency analysis of postural sway. J Biomech 28:603–607PubMedCrossRefGoogle Scholar
  45. Shimizu Y, Thurner S, Ehrenberger K (2002) Multifractal spectra as a measure of complexity in human posture. Fractals-Complex Geometry Patterns and Scaling in Nature and Society, vol 10, pp 103-116Google Scholar
  46. Slobounov S, Slobounov E, Sebastianelli W, Cao C, Newell K (2007) Differential rate of recovery in athletes after first and second concussion episodes. Neurosurgery 61:338–344PubMedCrossRefGoogle Scholar
  47. Spencer RMC, Zelaznik HN, Diedrichsen J, Ivry RB (2003) Disrupted timing of discontinuous but not continuous movements by cerebellar lesions. Science 300:1437–1439PubMedCrossRefGoogle Scholar
  48. Stelmach GE, Zelaznik HN, Lowe D (1990) The influence of aging and attentional demands on recovery from postural instability. Aging (Milano) 2:155–161Google Scholar
  49. Suarez H, Muse P, Suarez A, Arocena M (1999) Postural behaviour responses to visual stimulation in patients with vestibular disorders. In: Meeting of the Collegium Oto-Rhino-Laryngologicum Amicitae Sacrum (CORLAS). Taylor & Francis As, Lyon, France, pp 168–172Google Scholar
  50. Suarez H, Muse P, Suarez A, Arocena M (2001) Assessment of the risk of fall, related to visual stimulation, in patients with central vestibular disorders. Acta Otolaryngol 121:220–224PubMedCrossRefGoogle Scholar
  51. Suarez H, Geisinger D, Suarez A, Carrera X, Spiller P, Lapilover V (2007) Postural strategies in normal subjects and in patients with instability due to central nervous system diseases after sudden changes in the visual flow. In: Meeting of the Collegium Oto Rhino Laryngologicum Amicitiae Sacrum. Taylor & Francis As, Seoul, South Korea, pp 398–403Google Scholar
  52. Thurner S, Mittermaier C, Hanel R, Ehrenberger K (2000) Scaling-violation phenomena and fractality in the human posture control systems. Phys Rev E 62:4018–4024CrossRefGoogle Scholar
  53. Thurner S, Mittermaier C, Ehrenberger K (2002) Change of complexity patterns in human posture during aging. Audiol Neurootol 7:240–248Google Scholar
  54. Uetake T, Tanaka H, Shindo M, Okada M (2004) Two new methods applicable to center of pressure swing analysis. Anthropol Sci 112:187–193CrossRefGoogle Scholar
  55. Vaillancourt DE, Newell KM (2002) Changing complexity in human behavior and physiology through aging and disease. Neurobiol Aging 23:1–11PubMedCrossRefGoogle Scholar
  56. van Emmerik REA, van Wegen EEH (2002) On the functional aspects of variability in postural control. Exerc Sport Sci Rev 30:177–183PubMedCrossRefGoogle Scholar
  57. Williams HG, McClenaghan BA, Dickerson J (1997) Spectral characteristics of postural control in elderly individuals. Arch Phys Med Rehabil 78:737–744PubMedCrossRefGoogle Scholar
  58. Winter DA (1995) A.B.C. (anatomy, biomechanics and control) of balance during standing and walking. University of Waterloo Press, Waterloo, ONGoogle Scholar
  59. Woollacott M, Velde TJV (2008) Non-visual spatial tasks reveal increased interactions with stance postural control. Brain Res 1208:95–102PubMedCrossRefGoogle Scholar
  60. Zatsiorsky VM, Duarte M (1999) Instant equilibrium point and its migration in standing tasks: rambling and trembling components of the stabilogram. Motor Control 3:28–38PubMedGoogle Scholar
  61. Zatsiorsky VM, Duarte M (2000) Rambling and trembling in quiet standing. Motor Control 4:185–200PubMedGoogle Scholar
  62. Zatsiorsky VM, King DL (1998) An algorithm for determining gravity line location from posturographic recordings. J Biomech 31:161–164PubMedCrossRefGoogle Scholar
  63. Zelaznik HN, Spencer RMC, Ivry RB (2008) Behavioral analysis of human movement timing. In: Grondin S (ed) Psychology of time. Bingley, UK, pp 233–260Google Scholar
  64. Zhu X, Kim J, Bhattacharaya A, Bornschein R (2007) Study of the effect of early lead exposure on postural balance by advanced signal processing methods. Int J Biomed Eng Technol 1:86–100CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • James R. Chagdes
    • 1
  • Shirley Rietdyk
    • 2
  • Jeff M. Haddad
    • 2
  • Howard N. Zelaznik
    • 2
  • Arvind Raman
    • 1
  • Christopher K. Rhea
    • 2
  • Tobin A. Silver
    • 2
  1. 1.School of Mechanical EngineeringPurdue UniversityWest LafayetteUSA
  2. 2.Department of Health and KinesiologyPurdue UniversityWest LafayetteUSA

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