Exploring neurophysiological correlates of visually induced motion sickness using electroencephalography (EEG)
- PMID: 37650899
- DOI: 10.1007/s00221-023-06690-x
Exploring neurophysiological correlates of visually induced motion sickness using electroencephalography (EEG)
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.
Keywords: Delta band; EEG; Motion sickness; Simulator sickness; Time–frequency; Virtual reality.
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Similar articles
-
EEG-based analysis of various sensory stimulation effects to reduce visually induced motion sickness in virtual reality.Sci Rep. 2022 Oct 27;12(1):18043. doi: 10.1038/s41598-022-21307-z. Sci Rep. 2022. PMID: 36302810 Free PMC article.
-
The Visually Induced Motion Sickness Susceptibility Questionnaire (VIMSSQ): Estimating Individual Susceptibility to Motion Sickness-Like Symptoms When Using Visual Devices.Hum Factors. 2023 Feb;65(1):107-124. doi: 10.1177/00187208211008687. Epub 2021 Apr 19. Hum Factors. 2023. PMID: 33874752 Free PMC article.
-
Motion sickness-susceptible participants exposed to coherent rotating dot patterns show excessive N2 amplitudes and impaired theta-band phase synchronization.Neuroimage. 2019 Nov 15;202:116028. doi: 10.1016/j.neuroimage.2019.116028. Epub 2019 Jul 18. Neuroimage. 2019. PMID: 31326576
-
[Research Progress in Physiological Evaluation and Treatment of Visually Induced Motion Sickness in Virtual Reality].Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2023 Dec 30;45(6):980-986. doi: 10.3881/j.issn.1000-503X.15443. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2023. PMID: 38173111 Review. Chinese.
-
[Evaluation of Motion Sickness Induced by 3D Video Clips].Nihon Eiseigaku Zasshi. 2016;71(1):2-11. doi: 10.1265/jjh.71.2. Nihon Eiseigaku Zasshi. 2016. PMID: 26832611 Review. Japanese.
References
-
- Andrews PLR (2013) Nausea, vomiting, and the autonomic nervous system. In: Mathias CJ, Bannister SR (eds) Autonomic Failure: A Textbook of Clinical Disorders of the Autonomic Nervous System. Oxford University Press, p 0
-
- Andrievskaia P, Spaniol J, Berti S, Keshavarz B (2023) Influence of stimulus speed and cognitive factors on cortical responses to vection-inducing stimuli. Poster presented at the 1st International Conference on Ageing, Innovation, and Rehabilitation (iCAIR). Toronto, ON.
-
- Berti S, Keshavarz B (2020) Neuropsychological approaches to visually-induced vection: an overview and evaluation of neuroimaging and neurophysiological studies. Multisens Res 34(2):153–186. https://doi.org/10.1163/22134808-bja10035 - DOI - PubMed
-
- Caserman P, Garcia-Agundez A, Gámez Zerban A, Göbel S (2021) Cybersickness in current-generation virtual reality head-mounted displays: systematic review and outlook. Virtual Reality. https://doi.org/10.1007/s10055-021-00513-6 - DOI
-
- Cha Y-H, Baloh RW, Cho C et al (2020) Mal de débarquement syndrome diagnostic criteria: Consensus document of the Classification Committee of the Bárány Society. J Vestib Res 30:285–293. https://doi.org/10.3233/VES-200714 - DOI - PubMed - PMC
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical