Exploratory study for the EEG characteristics of visual-vestibular conflict induced motion sickness

Motion sickness, commonly introduced by conflicting visual-vestibular inputs, remains inadequately characterized at the neurophysiological level, with limited quantitative biomarkers for sensory conflict detection. This study investigated electroencephalographic (EEG) activity patterns associated with varying degrees of visual-vestibular congruence to identify potential neural correlates of sensory conflict. Six healthy participants (aged 18-22 years) underwent controlled motion stimuli while EEG data were recorded using a wireless system. Participants were seated in an electrically powered wheelchair traversing a 3-meter linear track under three experimental conditions: (1) congruent visual-vestibular stimuli, (2) vestibular stimulation without visual input, and (3) conflicting visual-vestibular information. Both forward and backward motion were explored. Spectral analysis of EEG data revealed condition-dependent variations in neural oscillations. Notably, delta-band (1-4 Hz) power demonstrated the highest magnitude during visual-vestibular conflict and the lowest during congruent stimulation. Direction-specific effects were observed, with significant differences in delta and alpha band power between forward and backward motion, particularly in the central (Cz) and right occipital (O2) regions. These findings suggest that EEG spectral signatures may serve as objective indicators of sensory conflict during motion, potentially informing early detection strategies and therapeutic interventions for motion sickness.

Authors

Publication Details

Journal
AHFE international
Published
2025-01-01
DOI
https://doi.org/10.54941/ahfe1006135
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploratory study for the EEG characteristics of visual-vestibular conflict induced motion sickness

Wei Yue, Xinjia Chen
AHFE international
Virtual Reality Applications and Impacts
article

Exploratory study for the EEG characteristics of visual-vestibular conflict induced motion sickness

Wei Yue, Xinjia Chen
article en

Abstract

Motion sickness, commonly introduced by conflicting visual-vestibular inputs, remains inadequately characterized at the neurophysiological level, with limited quantitative biomarkers for sensory conflict detection. This study investigated electroencephalographic (EEG) activity patterns associated with varying degrees of visual-vestibular congruence to identify potential neural correlates of sensory conflict. Six healthy participants (aged 18-22 years) underwent controlled motion stimuli while EEG data were recorded using a wireless system. Participants were seated in an electrically powered wheelchair traversing a 3-meter linear track under three experimental conditions: (1) congruent visual-vestibular stimuli, (2) vestibular stimulation without visual input, and (3) conflicting visual-vestibular information. Both forward and backward motion were explored. Spectral analysis of EEG data revealed condition-dependent variations in neural oscillations. Notably, delta-band (1-4 Hz) power demonstrated the highest magnitude during visual-vestibular conflict and the lowest during congruent stimulation. Direction-specific effects were observed, with significant differences in delta and alpha band power between forward and backward motion, particularly in the central (Cz) and right occipital (O2) regions. These findings suggest that EEG spectral signatures may serve as objective indicators of sensory conflict during motion, potentially informing early detection strategies and therapeutic interventions for motion sickness.

AHFE internationalVol. 167
Openalex Percentile: Top 85%
Virtual Reality Applications and Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.