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Visual motion detection thresholds can be reliably measured during walking and standing

Authors :
Stephen DiBianca
John Jeka
Hendrik Reimann
Source :
Frontiers in Human Neuroscience, Vol 17 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

IntroductionIn upright standing and walking, the motion of the body relative to the environment is estimated from a combination of visual, vestibular, and somatosensory cues. Associations between vestibular or somatosensory impairments and balance problems are well established, but less is known whether visual motion detection thresholds affect upright balance control. Typically, visual motion threshold values are measured while sitting, with the head fixated to eliminate self-motion. In this study we investigated whether visual motion detection thresholds: (1) can be reliably measured during standing and walking in the presence of natural self-motion; and (2) differ during standing and walking.MethodsTwenty-nine subjects stood on and walked on a self-paced, instrumented treadmill inside a virtual visual environment projected on a large dome. Participants performed a two-alternative forced choice experiment in which they discriminated between a counterclockwise (“left”) and clockwise (“right”) rotation of a visual scene. A 6-down 1-up adaptive staircase algorithm was implemented to change the amplitude of the rotation. A psychometric fit to the participants’ binary responses provided an estimate for the detection threshold.ResultsWe found strong correlations between the repeated measurements in both the walking (R = 0.84, p < 0.001) and the standing condition (R = 0.73, p < 0.001) as well as good agreement between the repeated measures with Bland–Altman plots. Average thresholds during walking (mean = 1.04°, SD = 0.43°) were significantly higher than during standing (mean = 0.73°, SD = 0.47°).ConclusionVisual motion detection thresholds can be reliably measured during both walking and standing, and thresholds are higher during walking.

Details

Language :
English
ISSN :
16625161
Volume :
17
Database :
Directory of Open Access Journals
Journal :
Frontiers in Human Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.5e661c09c57a482d9632361787d1fc58
Document Type :
article
Full Text :
https://doi.org/10.3389/fnhum.2023.1239071