The temporal pattern and the probability distribution of visual cueing can alter the structure of stride-to-stride variability
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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.
In: Neuroscience Letters, Vol. 763, 136193, 2021.Research output: Contribution to journal › Journal article › Research › peer-review
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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