bioRxiv Science⌕ Search

Biology subjects

Alais, D. J.

Publications and source records attributed to Alais, D. J..

2 recordsLinked to original sources

The speed and phase of locomotion dictate saccade probability and simultaneous low-frequency power spectra

Everyday we make thousands of saccades and take thousands of steps as we explore our environment. Despite their common co-occurrence in a typical active state, we know little about the coordination between eye-movements and walking behaviour and related changes in cortical activity. Technical limitations have been a major impediment which we overcome here by leveraging the advantages of an immersive wireless virtual reality (VR) environment with three-dimensional position tracking, together with simultaneous recording of eye-movements and mobile electroencephalography (EEG). Using this approach with participants engaged in unencumbered walking along a clear, level path, we find that the likelihood of eye-movements at both slow and natural walking speeds entrains to the rhythm of footfall, peaking shortly after the heel-strike of each step. Simultaneous EEG recordings reveal a concomitant modulation entrained to heel-strike, with increases and decreases in oscillatory power for a broad range of frequencies. The peak of these effects occurred in the theta and alpha range for both walking speeds. Together, our data show that the step-rate of locomotion influences other behaviours such as eye movements and produces related modulations of simultaneous EEG following the same rhythmic pattern. These results reveal gait as an important factor to be considered when interpreting saccadic and time-frequency EEG data in active observers.

neuroscience↗

Walking entrains unique oscillations in performance on a visual detection task

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-cycle for the successful coordination of perceptual and motor function. Here, we tested whether these phasic demands impact upon visual perception, by assessing performance in a visual detection task during natural unencumbered walking. We finely sampled visual performance over the stride cycle as participants walked 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 showed 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 revealed highly prevalent oscillations that clustered in two idiosyncratic frequency ranges (2 or 4 cycles per stride), with a strong phase alignment across participants.

neuroscience↗