Experimental Brain Research

, Volume 201, Issue 3, pp 467–478 | Cite as

Age-related differences in visual sampling requirements during adaptive locomotion

Research Article

Abstract

This study investigates if there are age- and falls-risk related differences in the length of time individuals need following fixation of a stepping target in order to step accurately onto it. This aim was achieved by manipulating the timing and location of stepping target presentation and comparing the effects on stepping performance between young adults, older adults characterised as having a low risk of falling and older adults characterised as having increased risk of falling (N = 10 in each group). Eye and lower limb kinematics were recorded using an eye tracker interfaced with a 3D motion analysis system. Temporal and spatial characteristics of eye and stepping movements were analysed and compared between groups and conditions in which participants had either <1, 2 or 3 s, following target fixation, in order to view and respond to target presentations. Comparisons were made between steps to centrally or laterally positioned targets (125% of individual participant’s normal step width). The results showed that high-risk older adults required significantly more time than low-risk older and younger adults in order to plan and execute medio-lateral stepping adjustments. A reduced ability to make rapid sideways stepping adjustments to avoid obstacles or step on safe areas may contribute towards trips and falls in these individuals. Possible neural mechanisms underlying this group-related decline in performance are discussed.

Keywords

Gaze behaviour Stepping accuracy Walking Falls Elderly 

References

  1. Abrams RA, Pratt J, Chasteen AL (1998) Aging and movement: variability of force pulses for saccadic eye movements. Psychol Aging 13(3):387–395CrossRefPubMedGoogle Scholar
  2. Allum JHJ, Carpenter MG, Honegger F, Adkin AL, Bloem BR (2002) Age-dependent variations in the directional sensitivity of balance corrections and compensatory arm movements in man. J Physiol 542(Pt 2):643–663CrossRefPubMedGoogle Scholar
  3. Basseville M, Nikiforov IV (1993) Detection of abrupt changes: theory and application. Prentice-Hall, Englewood CliffsGoogle Scholar
  4. Bauby CE, Kuo A (2000) Active control of lateral balance in human walking. J Biomech 33:1433–1440CrossRefPubMedGoogle Scholar
  5. Berg KO, Maki BE, Williams JI, Holliday PJ, Wood-Dauphinee SL (1992) Clinical and laboratory measures of postural balance in an elderly population. Arch Phys Med Rehabil 73(11):1073–1080PubMedGoogle Scholar
  6. Bergland A, Wyller TB (2004) Risk factors for serious fall related injury in elderly women living at home. Inj Prev 10(5):308–313CrossRefPubMedGoogle Scholar
  7. Chapman GJ, Hollands MA (2006) Evidence for a link between changes to gaze behaviour and risk of falling in older adults during adaptive locomotion. Gait Posture 24(3):288–294CrossRefPubMedGoogle Scholar
  8. Chapman GJ, Hollands MA (2007) Evidence that older adult fallers prioritise the planning of future stepping actions over the accurate execution of ongoing steps during complex locomotor tasks. Gait Posture 26(1):59–67CrossRefPubMedGoogle Scholar
  9. Chen JS, March LM, Schwarz J, Zochling J, Makaroff J, Sitoh YY, Lau TC, Lord SR, Cameron ID, Cumming RG, Sambrook PN (2005) A multivariate regression model predicted falls in residents living in intermediate hostel care. J Clin Epidemiol 58(5):503–508CrossRefPubMedGoogle Scholar
  10. Di Fabio RP, Greany JF, Zampieri C (2003a) Saccade-stepping interactions revise the motor plan for obstacle avoidance. J Mot Behav 35(4):383–397CrossRefPubMedGoogle Scholar
  11. Di Fabio RP, Zampieri C, Greany JF (2003b) Aging and saccade-stepping interactions in humans. Neurosci Lett 339(3):179–182CrossRefPubMedGoogle Scholar
  12. Di Fabio RP, Zampieri C, Henke J, Olson K, Rickheim D, Russell M (2005) Influence of elderly executive cognitive function on attention in the lower visual field during step initiation. Gerontology 51(2):94–107CrossRefPubMedGoogle Scholar
  13. Folstein MF, Folstein SE, McHugh PR (1975) “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12(3):189–198CrossRefPubMedGoogle Scholar
  14. Grabiner PC, Biswas ST, Grabiner MD (2001) Age-related changes in spatial and temporal gait variables. Arch Phys Med Rehabil 82(1):31–35CrossRefPubMedGoogle Scholar
  15. Hauer K, Pfisterer M, Weber C, Wezler N, Kliegel M, Oster P (2003) Cognitive impairment decreases postural control during dual tasks in geriatric patients with a history of severe falls. J Am Geriatr Soc 51(11):1638–1644CrossRefPubMedGoogle Scholar
  16. Hausdorff JM (2005) Gait variability: methods, modeling and meaning. J Neuroeng Rehabil 2:19CrossRefPubMedGoogle Scholar
  17. Hollands MA, Marple-Horvat DE (2001) Coordination of eye and leg movements during visually guided stepping. J Mot Behav 33(2):205–216CrossRefPubMedGoogle Scholar
  18. Hollands MA, Marple-Horvat DE, Henkes S, Rowan AK (1995) Human eye movements during visually guided stepping. J Mot Behav 27:155–163PubMedGoogle Scholar
  19. Hollands MA, Sorensen KL, Patla AE (2001) The effects of head immobilization on the co-ordination and control of head and body reorientation and translation during steering. Exp Brain Res 140(2):223–233CrossRefPubMedGoogle Scholar
  20. Hreljac A, Marshall RN (2000) Algorithms to determine event timing during normal walking using kinematic data. J Biomech 33:783–786CrossRefPubMedGoogle Scholar
  21. Kaneko R, Kuba Y, Sakata Y, Kuchinomachi Y (2004) Aging and shifts of visual attention in saccadic eye movements. Exp Aging Res 30(2):149–162CrossRefPubMedGoogle Scholar
  22. Lezak MD, Howieson DB, Loring DW (2004) Neuropsychological assessment, 4th edn. Oxford University Press, New YorkGoogle Scholar
  23. Lord SR, Sherrington C, Menz HB (2007) Falls in older people: risk factors and strategies for prevention. Cambridge University Press, CambridgeGoogle Scholar
  24. Maki BE (1997) Gait changes in older adults: predictors of falls or indicators of fear. J Am Geriatr Soc 45(3):313–320PubMedGoogle Scholar
  25. Munoz DP, Everling S (2004) Look away: the anti-saccade task and the voluntary control of eye movement. Nat Rev Neurosci 5(3):218–228CrossRefGoogle Scholar
  26. Munoz DP, Broughton JR, Goldring JE , Armstrong IT (1998) Age-related performance of human subjects on saccadic eye movement tasks. Exp Brain Res 121(4):391–400CrossRefPubMedGoogle Scholar
  27. Nevitt MC, Cummings SR (1993) Type of fall and risk of hip and wrist fractures: the study of osteoporotic fractures. The Study of Osteoporotic Fractures Research Group. J Am Geriatr Soc 41(11):1226–1234PubMedGoogle Scholar
  28. Owings TM, Grabiner MD (2004) Step width variability, but not step length variability or step time variability, discriminates gait of healthy young and older adults during treadmill locomotion. J Biomech 37(6):935–938CrossRefPubMedGoogle Scholar
  29. Patla AE, Adkin A, Ballard T (1999) Online steering: coordination and control of body center of mass, head and body reorientation. Exp Brain Res 129(4):629–634CrossRefPubMedGoogle Scholar
  30. Powell LE, Myers AM (1992) The activities-specific balance confidence (ABC) scale. J Gerontol A Biol Sci Med Sci 50A(1):M28–M34Google Scholar
  31. Pratt J, Dodd M, Welsh T (2006) Growing older does not always mean moving slower: examining aging and the saccadic motor system. J Mot Behav 38(5):373–382CrossRefPubMedGoogle Scholar
  32. Verghese J, Holtzer R, Lipton RB, Wang C (2009) Quantitative gait markers and incident fall risk in older adults. J Gerontol Ser A Biol Sci Med Sci 64(8):896–901Google Scholar
  33. Vickers JN (1996) Visual control when aiming at a far target. J Exp Psychol Hum Percept Perform 22(2):342–354CrossRefPubMedGoogle Scholar
  34. Zadnik KS (1997) The ocular examination. W.B. Saunders, PhiladelphiaGoogle Scholar

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  1. 1.Bradford School of Optometry and Vision ScienceUniversity of BradfordBradfordUK
  2. 2.Human Movement Laboratory, School of Sport and Exercise SciencesThe University of BirminghamBirminghamUK

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