Walking modulates visual detection performance according to stride cycle phase

Matthew J. Davidson (), Frans A. J. Verstraten and David Alais
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Matthew J. Davidson: The University of Sydney
Frans A. J. Verstraten: The University of Sydney
David Alais: The University of Sydney

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: Abstract Walking is among our most frequent and natural of voluntary behaviours, yet the consequences of locomotion upon perceptual and cognitive function remain largely unknown. Recent work has highlighted that although walking feels smooth and continuous, critical phases exist within each step for the successful coordination of perceptual and motor function. Here, we test whether these phasic demands impact upon visual perception, by assessing performance in a visual detection task during natural unencumbered walking. We finely sample visual performance over the stride cycle as participants walk along a smooth linear path at a comfortable speed in a wireless virtual reality environment. At the group-level, accuracy, reaction times, and response likelihood show strong oscillations, modulating at approximately 2 cycles per stride (~2 Hz) with a marked phase of optimal performance aligned with the swing phase of each step. At the participant level, Bayesian inference of population prevalence reveals highly prevalent oscillations in visual detection performance that cluster in two idiosyncratic frequency ranges (2 or 4 cycles per stride), with a strong phase alignment across participants.

Date: 2024
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DOI: 10.1038/s41467-024-45780-4

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