Cited by 20

The DOI matches its Crossref record.

Locomotor patterns change over time when exposed to an uneven surface

Kent, Jenny A., Sommerfeld, Joel H., Mukherjee, Mukul, Takahashi, Kota Z., Stergiou, Nicholas·2019·Journal of Experimental Biology

Abstract

During walking, uneven surfaces impose new demands for controlling balance and forward progression at each step. It is unknown the extent to which walking may be refined given a level of stride-to-stride unpredictability at distal level. Here, we explored the effects of an uneven terrain surface on whole-body locomotor dynamics on immediate exposure and after a familiarization period. Eleven young, unimpaired adults walked for 12 minutes on flat and uneven terrain treadmills. The whole-body center of mass excursion range (COMEXC) and peak velocity (COMVEL), step length and width were estimated. On first exposure to uneven terrain, we saw significant increases in lateral COMEXC and COMVEL, and in the variability of COMEXC, COMVEL and foot placement in both anterior-posterior and medial-lateral directions. Increases in step width and decreases in step length supported the immediate adoption of a cautious, restrictive solution on uneven terrain. After familiarization, step length increased and the variability of anterior-posterior COMVEL and step length reduced, while in the medial-lateral direction step width and COMVEL reduced, alluding to a refinement of movement and a reduction of conservative strategies over time. The variability of medial-lateral COMEXC and COMVEL increased, however, consistent with a release of previously constrained degrees of freedom. Despite this increase in variability, a strong relationship between step width and medial-lateral COM movement was maintained. Our results indicate that movement strategies of unimpaired adults when walking on uneven terrain can evolve over time with longer exposure to the surface.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1242/jeb.202093

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Laboratory-based studies simulating natural terrain walking on artificial irregular surfaces generally found that participants use more variable stride characteristics, flatter foot postures at initial contact, higher foot clearance during leg swing, and greater leg muscle activation compared with walking on regular surfaces.

    “Generally, these studies have found that, when compared with walking on regular (flat, even) surfaces, participants use more variable stride characteristics like step length and width (e.g. Kent, Sommerfeld, Mukherjee, Takahashi, & Stergiou, 2019; Menant, Steele, Menz, Munro, & Lord, 2011; Voloshina, Kuo, Daley, & Ferris, 2013), use flatter foot postures at initial contact and higher foot”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 48

  1. Arvin, 2016, Effects of constrained trunk movement on frontal plane gait kinematics, J. Biomech., 49, 3085, 10.1016/j.jbiomech.2016.07.015 · DOI
  2. Arvin, 2018, Where to step? Contributions of stance leg muscle spindle afference to planning of mediolateral foot placement for balance control in young and older adults, Front. Physiol., 9, 1134, 10.3389/fphys.2018.01134 · DOI
  3. Bauby, 2000, Active control of lateral balance in human walking, J. Biomech., 33, 1433, 10.1016/S0021-9290(00)00101-9 · DOI · Paper page
  4. Bernstein, 1967, The Co-Ordination and Regulation of Movements
  5. Brach, 2005, Too much or too little step width variability is associated with a fall history only in older persons who walk at or near normal gait speed, J. Neuroengineering Rehabil., 2, 21, 10.1186/1743-0003-2-21 · DOI
  6. Cappozzo, 1995, Position and orientation in space of bones during movement: anatomical frame definition and determination, Clin. Biomech., 10, 171, 10.1016/0268-0033(95)91394-T · DOI
  7. Collins, 2005, Efficient bipedal robots based on passive-dynamic walkers, Science, 307, 1082, 10.1126/science.1107799 · DOI
  8. Courtine, 2004, Tuning of a basic coordination pattern constructs straight-ahead and curved walking in humans, J. Neurophysiol., 91, 1524, 10.1152/jn.00817.2003 · DOI
  9. Dempster, 1955, Space requirements of the seated operator; geometrical, kinematic, and mechanical aspects of the body with special reference to the limbs, WADC Technical Report, 55, 1, 10.21236/AD0087892 · DOI
  10. Diedrichsen, 2010, The coordination of movement: optimal feedback control and beyond, Trends Cogn. Sci., 14, 31, 10.1016/j.tics.2009.11.004 · DOI · Paper page
  11. Donelan, 2001, Mechanical and metabolic determinants of the preferred step width in human walking, Proc. Biol. Sci., 268, 1985, 10.1098/rspb.2001.1761 · DOI · Paper page
  12. Ebersbach, 1995, Influence of concurrent tasks on gait: a dual-task approach, Percept. Mot. Skills, 81, 107, 10.2466/pms.1995.81.1.107 · DOI
  13. Fajen, 2009, Information, affordances, and the control of action in sport, Int. J. Sport Psychol., 40, 79
  14. Fitts, 1964, Perceptual-motor skill learning, 381
  15. Gates, 2012, Kinematic strategies for walking across a destabilizing rock surface, Gait Posture, 35, 36, 10.1016/j.gaitpost.2011.08.001 · DOI
  16. Giakas, 2004, Power spectrum analysis and filtering, 223
  17. Hak, 2013, Walking in an unstable environment: strategies used by transtibial amputees to prevent falling during gait, Arch. Phys. Med. Rehabil., 94, 2186, 10.1016/j.apmr.2013.07.020 · DOI
  18. Hanavan, 1964, A mathematical model of the human body, AMRL. TR., 64, 1, 10.1037/e400822004-001 · DOI
  19. Harbourne, 2009, Movement variability and the use of nonlinear tools: principles to guide physical therapist practice, Phys. Ther., 89, 267, 10.2522/ptj.20080130 · DOI
  20. Harrison, 2015, Complex adaptive behavior and dexterous action, Nonlinear Dynamics Psychol. Life. Sci., 19, 345
  21. Hof, 2013, Responses of human hip abductor muscles to lateral balance perturbations during walking, Exp. Brain Res., 230, 301, 10.1007/s00221-013-3655-5 · DOI
  22. Hof, 2005, The condition for dynamic stability, J. Biomech., 38, 1, 10.1016/j.jbiomech.2004.03.025 · DOI
  23. Jordan, 2007, Walking speed influences on gait cycle variability, Gait Posture, 26, 128, 10.1016/j.gaitpost.2006.08.010 · DOI
  24. Klint, 2008, Within-step modulation of leg muscle activity by afferent feedback in human walking, J. Physiol., 586, 4643, 10.1113/jphysiol.2008.155002 · DOI
  25. Menant, 2009, Effects of walking surfaces and footwear on temporo-spatial gait parameters in young and older people, Gait Posture, 29, 392, 10.1016/j.gaitpost.2008.10.057 · DOI
  26. O'Connor, 2009, Direction-dependent control of balance during walking and standing, J. Neurophysiol., 102, 1411, 10.1152/jn.00131.2009 · DOI · Paper page
  27. O'Connor, 2012, Energetic cost of walking with increased step variability, Gait Posture, 36, 102, 10.1016/j.gaitpost.2012.01.014 · DOI · Paper page
  28. Owings, 2003, Measuring step kinematic variability on an instrumented treadmill: how many steps are enough?, J. Biomech., 36, 1215, 10.1016/S0021-9290(03)00108-8 · DOI
  29. Pai, 1997, Center of mass velocity-position predictions for balance control, J. Biomech., 30, 347, 10.1016/S0021-9290(96)00165-0 · DOI
  30. Patla, 2003, Strategies for dynamic stability during adaptive human locomotion, IEEE Eng. Med. Biol. Mag., 22, 48, 10.1109/MEMB.2003.1195695 · DOI
  31. Patla, 1999, Dimensions of mobility: defining the complexity and difficulty associated with community mobility, J. Aging Phys. Act., 7, 7, 10.1123/japa.7.1.7 · DOI
  32. Rankin, 2014, A neuromechanical strategy for mediolateral foot placement in walking humans, J. Neurophysiol., 112, 374, 10.1152/jn.00138.2014 · DOI
  33. Richardson, 2005, Gait analysis in a challenging environment differentiates between fallers and nonfallers among older patients with peripheral neuropathy, Arch. Phys. Med. Rehabil., 86, 1539, 10.1016/j.apmr.2004.12.032 · DOI
  34. Rock, 2018, Interaction between step-to-step variability and metabolic cost of transport during human walking, J. Exp. Biol., 221, jeb181834, 10.1242/jeb.181834 · DOI
  35. Roden-Reynolds, 2015, Hip proprioceptive feedback influences the control of mediolateral stability during human walking, J. Neurophysiol., 114, 2220, 10.1152/jn.00551.2015 · DOI
  36. Scott, 2004, Optimal feedback control and the neural basis of volitional motor control, Nat. Rev. Neurosci., 5, 532, 10.1038/nrn1427 · DOI
  37. Stergiou, 2011, Human movement variability, nonlinear dynamics, and pathology: is there a connection?, Hum. Mov. Sci., 30, 869, 10.1016/j.humov.2011.06.002 · DOI
  38. Stokes, 2017, The neuromuscular origins of kinematic variability during perturbed walking, Sci. Rep., 7, 808, 10.1038/s41598-017-00942-x · DOI
  39. Taylor, 1996, Angular movements of the lumbar spine and pelvis can be reliably measured after 4 minutes of treadmill walking, Clin. Biomech., 11, 484, 10.1016/S0268-0033(96)00036-8 · DOI
  40. Thies, 2005, Effects of surface irregularity and lighting on step variability during gait: A study in healthy young and older women, Gait Posture, 22, 26, 10.1016/j.gaitpost.2004.06.004 · DOI
  41. Todorov, 2002, Optimal feedback control as a theory of motor coordination, Nat. Neurosci., 5, 1226, 10.1038/nn963 · DOI · Paper page
  42. van Emmerik, 2000, On variability and stability in human movement, J. Appl. Biomech., 16, 394, 10.1123/jab.16.4.394 · DOI
  43. Vereijken, 1992, Free (z) ing degrees of freedom in skill acquisition, J. Mot. Behav., 24, 133, 10.1080/00222895.1992.9941608 · DOI
  44. Voloshina, 2013, Biomechanics and energetics of walking on uneven terrain, J. Exp. Biol., 216, 3963, 10.1242/jeb.081711 · DOI · Paper page
  45. Wang, 2014, Stepping in the direction of the fall: the next foot placement can be predicted from current upper body state in steady-state walking, Biol. Lett., 10, 20140405, 10.1098/rsbl.2014.0405 · DOI · Paper page
  46. Winter, 2009, Biomechanics and Motor Control of Human Movement, 10.1002/9780470549148 · DOI
  47. Wurdeman, 2012, Variability of gait is dependent on direction of progression: Implications for active control, J. Biomech., 45, 653, 10.1016/j.jbiomech.2011.12.014 · DOI
  48. Zeni, 2008, Two simple methods for determining gait events during treadmill and overground walking using kinematic data, Gait Posture, 27, 710, 10.1016/j.gaitpost.2007.07.007 · DOI · Paper page

Cited by

Sorted by citations

Metadata

Authors
Kent, J. A., Sommerfeld, J. H., Mukherjee, M., Takahashi, K. Z., & Stergiou, N.
Affiliations
Division of Biomechanics and Research Development, University of Nebraska at Omaha, 6160 University Drive, Omaha, NE 68182-0860, USA
Venue
Journal of Experimental Biology
Published
2019-01-01
ISSN
  • 1477-9145
  • 0022-0949
Cited by
20
References
0
Language
en
Funders
  • National Institutes of Health (NIGMS/P20GM109090)
  • National Aeronautics and Space Administration (80NSSC18M0076)
  • American Heart Association (18AIREA33960251)
  • University of Nebraska (Presidential Fellowship (to J.K.))

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review