Abstract
Visually induced motion sickness (VIMS) is a common phenomenon when using visual devices such as smartphones and virtual reality applications, with symptoms including nausea, fatigue, and headache. To date, the neuro-cognitive processes underlying VIMS are not fully understood. Previous studies using electroencephalography (EEG) delivered mixed findings, with some reporting an increase in delta and theta power, and others reporting increases in alpha and beta frequencies. The goal of the study was to gain further insight into EEG correlates for VIMS. Participants viewed a VIMS-inducing visual stimulus, composed of moving black-and-white vertical bars presented on an array of three adjacent monitors. The EEG was recorded during visual stimulation and VIMS ratings were recorded after each trial using the Fast Motion Sickness Scale. Time–frequency analyses were conducted comparing neural activity of participants reporting minimal VIMS (n = 21) and mild–moderate VIMS (n = 12). Results suggested a potential increase in delta power in the centro-parietal regions (CP2) and a decrease in alpha power in the central regions (Cz) for participants experiencing mild–moderate VIMS compared to those with minimal VIMS. Event-related spectral perturbations (ERSPs) suggested that group differences in EEG activity developed with increasing duration of a trial. These results support the hypothesis that the EEG might be sensitive to differences in information processing in VIMS and minimal VIMS contexts, and indicate that it may be possible to identify neurophysiological correlate of VIMS. Differences in EEG activity related to VIMS may reflect differential processing of conflicting visual and vestibular sensory information.
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Anonymized data may be made available by the authors upon request.
Notes
No sex-related differences showed with respect to VIMS severity or vection intensity. Thus, biological sex will not be considered for further discussion.
Note that we deliberately chose a baseline that contained visual motion. If a baseline with a static visual scene was applied, differences in the EEG recordings would likely be dominated by the processing of visual motion in general (and not specific to VIMS). In other words, a baseline with visual motion may help to control at least partially the portion of the EEG associated with the processing of motion.
Note that no statistical tests are reported for the ERSP analysis as these analysis were purely exploratory and no hypotheses were generated a priori. The purpose of these analyses were to deliver insights into the dynamics of potential differences between the two VIMS groups.
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Acknowledgements
We thank Bruce Haycock and Robert Shewaga for technical assistance and programming of the visual stimulus.
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Funding for this study was awarded by the Natural Sciences and Engineering Research Council of Canada (NSERC RGPIN-2017-04387) to Behrang Keshavarz.
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All authors contributed to study conceptualization and design. Material preparation, data collection and analysis were performed by PA, BK, and SB. The first draft of the manuscript was written by PA and BK, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Andrievskaia, P., Berti, S., Spaniol, J. et al. Exploring neurophysiological correlates of visually induced motion sickness using electroencephalography (EEG). Exp Brain Res 241, 2463–2473 (2023). https://doi.org/10.1007/s00221-023-06690-x
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DOI: https://doi.org/10.1007/s00221-023-06690-x