Observational studyNeuroscience letters2021
The temporal pattern and the probability distribution of visual cueing can alter the structure of stride-to-stride variability.
Observational study in Neuroscience letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Subtle to significant: Enhancing heaviness perception with stochastic resonance.Journal of experimental psychology. Human perception and performance · 2026Article
- Ball Don't Lie: Commentary on Chemero (2024) and Wallot et al. (2024).Topics in cognitive science · 2026Article
- Human movement patterns predict task-unrelated thought.PloS one · 2026Article
- Exploring the Relations Between Running Variability and Injury Susceptibility: A Scoping Review.Sports (Basel, Switzerland) · 2025Review
- Spatial variability and directional shifts in postural control in Parkinson's disease.Clinical parkinsonism & related disorders · 2024Article
- Postural control in gymnasts: anisotropic fractal scaling reveals proprioceptive reintegration in vestibular perturbation.Frontiers in network physiology · 2024Article
- NONAN GaitPrint: An IMU gait database of healthy young adults.Scientific data · 2023Article
- Better than DFA? A Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences.ArXiv · 2023Article
- Stride-to-stride time intervals are independently affected by the temporal pattern and probability distribution of visual cues.Neuroscience letters · 2023Article
- Article
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Authors and funding
4 authors.
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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.
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