Literature DB >> 30922850

Synchronization dynamics modulates stride-to-stride fluctuations when walking to an invariant but not to a fractal-like stimulus.

João R Vaz1, Boman R Groff2, Douglas A Rowen2, Brian A Knarr2, Nicholas Stergiou3.   

Abstract

Walking with different types of cueing/stimulus (i.e. auditory, visual) has been shown to alter gait variability, thus emerging as an innovative therapeutical tool to restore abnormal gait variability in clinical populations. However, the majority of the research in this area has focused on auditory stimuli while visual stimuli are an understudied alternative that needs more attention, particularly due to the natural dependence on vision during walking. Furthermore, the time differences between the occurrences of the walking steps and the sensory cues, also known as asynchronies, have also received minimal attention, even though the ability to synchronize with different stimuli is of great importance. This study investigated how synchronizing to visual stimuli with different temporal structures could affect gait variability and the respective asynchronies. Participants performed four 15-min walking trials around an indoor track while wearing insole footswitches for the following conditions: a) self-paced walking, and b) walking with glasses that instructed the subjects to step in sync with a virtual moving bar. The stepping occurences of the moving bar were presented in three different ways b1) non-variable, b2) variable and b3) random. Stride times and asynchronies were determined, and the mean values along with the fractal scaling (an indicator of the complexity) in their time series, were calculated. The fractal scaling of the stride times was unaltered when participants walked with the variable stimulus as compared to the self-paced walking condition; while fractal scaling was significantly decreased during the non-variable and random conditions, indicating a loss of complexity for these two conditions. No differences were observed in the means or the fractal scaling of the asynchronies. The correlation analysis between stride times and asynchronies revealed a strong relationship for the non-variable condition but a weak relationship for both variable and random conditions. Taken together, the present study results supports the idea of an existing internal timekeeper that exhibits complexity. We have shown that this complex pattern is similar regardless of the stimulus condition, suggesting that the system's complexity is likely to be expressed at the task performance level - asyncrhonies - when walking to a stimulus. Thus, future research in sensoriomotor gait synchronization should focus and further explore the role of the asynchronies, as it may be of clinical significance.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Asynchronies; Cueing; Fractals; Gait dynamics; Metronomes; Sensorimotor synchronization

Mesh:

Year:  2019        PMID: 30922850      PMCID: PMC7196175          DOI: 10.1016/j.neulet.2019.03.040

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  44 in total

1.  Changes in gait patterns with rhythmic auditory stimulation in adults with cerebral palsy.

Authors:  Soo Ji Kim; Eunmi Emily Kwak; Eun Sook Park; Don Shin Lee; Ki Jung Kim; Joo Eun Song; Sung-Rae Cho
Journal:  NeuroRehabilitation       Date:  2011       Impact factor: 2.138

2.  Perception-production relationships and phase correction in synchronization with two-interval rhythms.

Authors:  Bruno H Repp; Justin London; Peter E Keller
Journal:  Psychol Res       Date:  2010-07-20

3.  Temporal variability of gait in Parkinson disease: effects of a rehabilitation programme based on rhythmic sound cues.

Authors:  Miguel Fernandez del Olmo; Javier Cudeiro
Journal:  Parkinsonism Relat Disord       Date:  2004-12-09       Impact factor: 4.891

4.  Fractal dynamics of human gait: a reassessment of the 1996 data of Hausdorff et al.

Authors:  Didier Delignières; Kjerstin Torre
Journal:  J Appl Physiol (1985)       Date:  2009-02-19

5.  Fractal Fluctuations in Human Walking: Comparison Between Auditory and Visually Guided Stepping.

Authors:  Philippe Terrier
Journal:  Ann Biomed Eng       Date:  2016-02-22       Impact factor: 3.934

6.  Fractal dynamics of human gait: stability of long-range correlations in stride interval fluctuations.

Authors:  J M Hausdorff; P L Purdon; C K Peng; Z Ladin; J Y Wei; A L Goldberger
Journal:  J Appl Physiol (1985)       Date:  1996-05

7.  Enhanced lateral premotor activity during paradoxical gait in Parkinson's disease.

Authors:  T Hanakawa; H Fukuyama; Y Katsumi; M Honda; H Shibasaki
Journal:  Ann Neurol       Date:  1999-03       Impact factor: 10.422

8.  Hemiparetic stepping to the beat: asymmetric response to metronome phase shift during treadmill gait.

Authors:  Trudy A Pelton; Leif Johannsen; Alan M Wing
Journal:  Neurorehabil Neural Repair       Date:  2009-12-01       Impact factor: 3.919

9.  Cueing and gait improvement among people with Parkinson's disease: a meta-analysis.

Authors:  Sandi J Spaulding; Brittany Barber; Morgan Colby; Bronwyn Cormack; Tanya Mick; Mary E Jenkins
Journal:  Arch Phys Med Rehabil       Date:  2012-11-02       Impact factor: 3.966

10.  Feasibility and Preliminary Efficacy of Visual Cue Training to Improve Adaptability of Walking after Stroke: Multi-Centre, Single-Blind Randomised Control Pilot Trial.

Authors:  Kristen L Hollands; Trudy A Pelton; Andrew Wimperis; Diane Whitham; Wei Tan; Sue Jowett; Catherine M Sackley; Alan M Wing; Sarah F Tyson; Jonathan Mathias; Marianne Hensman; Paulette M van Vliet
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

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  1 in total

1.  Stochastic Resonance Reduces Sway and Gait Variability in Individuals With Unilateral Transtibial Amputation: A Pilot Study.

Authors:  Aaron D Likens; Jenny A Kent; C Ian Sloan; Shane R Wurdeman; Nick Stergiou
Journal:  Front Physiol       Date:  2020-10-19       Impact factor: 4.566

  1 in total

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