The temporal pattern and the probability distribution of visual cueing can alter the structure of stride-to-stride variability

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Standard

The temporal pattern and the probability distribution of visual cueing can alter the structure of stride-to-stride variability. / Raffalt, Peter C.; Stergiou, Nick; Sommerfeld, Joel H.; Likens, Aaron D.

I: Neuroscience Letters, Bind 763, 136193, 2021.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Raffalt, PC, Stergiou, N, Sommerfeld, JH & Likens, AD 2021, 'The temporal pattern and the probability distribution of visual cueing can alter the structure of stride-to-stride variability', Neuroscience Letters, bind 763, 136193. https://doi.org/10.1016/j.neulet.2021.136193

APA

Raffalt, P. C., Stergiou, N., Sommerfeld, J. H., & Likens, A. D. (2021). The temporal pattern and the probability distribution of visual cueing can alter the structure of stride-to-stride variability. Neuroscience Letters, 763, [136193]. https://doi.org/10.1016/j.neulet.2021.136193

Vancouver

Raffalt PC, Stergiou N, Sommerfeld JH, Likens AD. The temporal pattern and the probability distribution of visual cueing can alter the structure of stride-to-stride variability. Neuroscience Letters. 2021;763. 136193. https://doi.org/10.1016/j.neulet.2021.136193

Author

Raffalt, Peter C. ; Stergiou, Nick ; Sommerfeld, Joel H. ; Likens, Aaron D. / The temporal pattern and the probability distribution of visual cueing can alter the structure of stride-to-stride variability. I: Neuroscience Letters. 2021 ; Bind 763.

Bibtex

@article{06d6f93850e440219d3cdaecad439cf0,
title = "The temporal pattern and the probability distribution of visual cueing can alter the structure of stride-to-stride variability",
abstract = "The structure of the stride-to-stride time intervals during paced walking can be altered by the temporal pattern of the pacing cues, however, it is unknown if an altered probability distribution of these cues could also affect stride-to-stride time intervals. We investigated the effect of the temporal pattern and probability distribution of visual pacing cues on the temporal structure of the variability of the stride-to-stride time intervals during walking. Participants completed self-paced walking (SPW) and walking paced by visual cueing that had a temporal pattern of either pink noise presented with a normal distribution (PNND), shuffled pink noise presented with a normal distribution (SPNND), white noise presented with a normal distribution (WNND), and white noise presented with a uniform distribution (WNUD). The temporal structure of the stride-to-stride time intervals was quantified using the scaling exponent calculated from Detrended Fluctuation Analysis. The scaling exponent was higher during the SPW and PNND trials than during the SPNND, WNND and WNUD trials and it was lower during the WNUD trial compared to the SPNND trial. The results revealed that both the temporal pattern and the probability distribution of the visual pacing cues can affect the scaling exponent of the variability of the stride-to-stride time intervals. This information is fundamental in understanding how visual input is involved in the control of gait.",
keywords = "Color noise, Fractal structure, Gait, Paced walking, Variable metronomes, Visual cues",
author = "Raffalt, {Peter C.} and Nick Stergiou and Sommerfeld, {Joel H.} and Likens, {Aaron D.}",
note = "Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",
year = "2021",
doi = "10.1016/j.neulet.2021.136193",
language = "English",
volume = "763",
journal = "Neuroscience letters. Supplement",
issn = "0167-6253",
publisher = "Elsevier Ireland Ltd",

}

RIS

TY - JOUR

T1 - The temporal pattern and the probability distribution of visual cueing can alter the structure of stride-to-stride variability

AU - Raffalt, Peter C.

AU - Stergiou, Nick

AU - Sommerfeld, Joel H.

AU - Likens, Aaron D.

N1 - Publisher Copyright: © 2021 Elsevier B.V.

PY - 2021

Y1 - 2021

N2 - The structure of the stride-to-stride time intervals during paced walking can be altered by the temporal pattern of the pacing cues, however, it is unknown if an altered probability distribution of these cues could also affect stride-to-stride time intervals. We investigated the effect of the temporal pattern and probability distribution of visual pacing cues on the temporal structure of the variability of the stride-to-stride time intervals during walking. Participants completed self-paced walking (SPW) and walking paced by visual cueing that had a temporal pattern of either pink noise presented with a normal distribution (PNND), shuffled pink noise presented with a normal distribution (SPNND), white noise presented with a normal distribution (WNND), and white noise presented with a uniform distribution (WNUD). The temporal structure of the stride-to-stride time intervals was quantified using the scaling exponent calculated from Detrended Fluctuation Analysis. The scaling exponent was higher during the SPW and PNND trials than during the SPNND, WNND and WNUD trials and it was lower during the WNUD trial compared to the SPNND trial. The results revealed that both the temporal pattern and the probability distribution of the visual pacing cues can affect the scaling exponent of the variability of the stride-to-stride time intervals. This information is fundamental in understanding how visual input is involved in the control of gait.

AB - The structure of the stride-to-stride time intervals during paced walking can be altered by the temporal pattern of the pacing cues, however, it is unknown if an altered probability distribution of these cues could also affect stride-to-stride time intervals. We investigated the effect of the temporal pattern and probability distribution of visual pacing cues on the temporal structure of the variability of the stride-to-stride time intervals during walking. Participants completed self-paced walking (SPW) and walking paced by visual cueing that had a temporal pattern of either pink noise presented with a normal distribution (PNND), shuffled pink noise presented with a normal distribution (SPNND), white noise presented with a normal distribution (WNND), and white noise presented with a uniform distribution (WNUD). The temporal structure of the stride-to-stride time intervals was quantified using the scaling exponent calculated from Detrended Fluctuation Analysis. The scaling exponent was higher during the SPW and PNND trials than during the SPNND, WNND and WNUD trials and it was lower during the WNUD trial compared to the SPNND trial. The results revealed that both the temporal pattern and the probability distribution of the visual pacing cues can affect the scaling exponent of the variability of the stride-to-stride time intervals. This information is fundamental in understanding how visual input is involved in the control of gait.

KW - Color noise

KW - Fractal structure

KW - Gait

KW - Paced walking

KW - Variable metronomes

KW - Visual cues

U2 - 10.1016/j.neulet.2021.136193

DO - 10.1016/j.neulet.2021.136193

M3 - Journal article

C2 - 34433099

AN - SCOPUS:85114031720

VL - 763

JO - Neuroscience letters. Supplement

JF - Neuroscience letters. Supplement

SN - 0167-6253

M1 - 136193

ER -

ID: 367292456