Poster No:
1263
Submission Type:
Abstract Submission
Authors:
Yue WEI1, Yixuan Wang2, Richard SO3
Institutions:
1Shenzhen University, Shenzhen, Guangdong, 2HKUST-Shenzhen Research Institute, Shenzhen, Guangdong, 3The Hong Kong University of Science and Technology, Hong Kong, Hong Kong
First Author:
Yue WEI
Shenzhen University
Shenzhen, Guangdong
Co-Author(s):
Yixuan Wang
HKUST-Shenzhen Research Institute
Shenzhen, Guangdong
Richard SO
The Hong Kong University of Science and Technology
Hong Kong, Hong Kong
Introduction:
VIMS is a common discomfort experienced by stationary viewers exposed to visual motion, characterized by symptoms such as disorientation, oculomotor disturbance, and nausea. It poses significant challenges to user experiences in virtual reality (VR) and large-screen movies.
The study aims to address three main limitations in previous research: 1) the focus on local brain activity rather than dynamic connectivity, 2) between-subject susceptibility differences confounded by various individual factors, and 3) the use of only one type of visual stimulus. To overcome these limitations, the study examines changes in brain dynamics before and after enhancing individual susceptibility through adaptation training, using two types of experimental stimuli involving different axis rotations.
Methods:
A total of 16 right-handed participants were recruited for the study. They completed pre-training, training, and post-training stages. In the pre-training stage, baseline EEG phase synchronization and VIMS susceptibility were measured under two types of VIMS-provoking stimulation: roll rotation (ROL) and pitch rotation (PIT). Participants were classified into VIMS-resistant (VIMSres) and VIMS-susceptible (VIMSsus) groups based on their MaxNausea levels during pre-training exposure.
The training stage involved repeated daily exposures to ROL stimulation for the VIMSsus group. The completion criteria for the adaptation training stage were: 1) MaxNausea scores reported by a participant in two consecutive sessions were both lower than 2, and 2) the participant had completed a minimum of 7 behavioral (BEH) sessions. Trainees were permitted to engage in up to 10 BEH sessions.
In the post-training stage, VIMS susceptibility and EEG phase synchronization were re-evaluated under both ROL and PIT stimulations. The results showed that the VIMSsus group demonstrated a significant increase in nausea score with increasing exposure to VIMS provoking stimulation, while the VIMSres group maintained a consistently low level of nausea. The SSQ score of the VIMSsus group was significantly higher than that of the VIMSres group, confirming differential susceptibility to VIMS.
Results:
The training results indicated that adaptation training effectively reduced the subsequent VIMS response to ROL stimulation in susceptible individuals. Most trained participants completed the training within 7 sessions, and the MaxNausea scores and SSQ scores of the VIMSsus group showed a significant reduction after training. The training effects successfully transferred to the PIT condition in terms of nausea, with a significant reduction in MaxNausea scores for the VIMSsus group.
To identify the critical time window related to self-motion perception, the study compared the averaged global PLV node strength between the random (RAN) condition and each rotation condition (ROL, PIT). The results showed that the VIMSres group displayed stronger inter-hemispheric PLV values compared to the VIMSsus group, supporting the hypothesis that inter-hemispheric connectivity is associated with resistance to motion sickness.

·Figure 1: Protocol

·Figure 2: Phase Locking Values Increase with VIMS Resistance
Conclusions:
The study found that inter-hemispheric PLV values were enhanced when susceptibility was reduced, and this effect was observed for both types of visual stimuli (ROL and PIT), suggesting that this inter-hemispheric EEG phase synchronization is associated with general VIMS susceptibility rather than specific types of visual stimuli.
Overall, this study is the first to utilize adaptation training and discover that functional brain connectivity strengthens as susceptibility to VIMS decreases.
The research highlights the crucial link between susceptibility to VIMS and the strength of inter-hemispheric connectivity in the temporal and parietal lobes. These discoveries open up avenues for future utilization in the real-time tracking of variations in individual susceptibility to motion sickness via EEG, potentially aiding in the prevention, tracking, and mitigation of VIMS.
This is a preliminary experiment, and the complete data and results have been submitted in the manuscript titled 'Manuscript submitted to Cognitive Neurodynamics (under review).
Higher Cognitive Functions:
Higher Cognitive Functions Other
Modeling and Analysis Methods:
Classification and Predictive Modeling
Connectivity (eg. functional, effective, structural) 1
Perception, Attention and Motor Behavior:
Perception: Multisensory and Crossmodal
Perception: Visual 2
Keywords:
Electroencephaolography (EEG)
Machine Learning
Plasticity
Other - Inter-hemispheric connectivity;Phase Synchronization;Visually Induced Motion Sickness
1|2Indicates the priority used for review
By submitting your proposal, you grant permission for the Organization for Human Brain Mapping (OHBM) to distribute your work in any format, including video, audio print and electronic text through OHBM OnDemand, social media channels, the OHBM website, or other electronic publications and media.
I accept
The Open Science Special Interest Group (OSSIG) is introducing a reproducibility challenge for OHBM 2025. This new initiative aims to enhance the reproducibility of scientific results and foster collaborations between labs. Teams will consist of a “source” party and a “reproducing” party, and will be evaluated on the success of their replication, the openness of the source work, and additional deliverables. Click here for more information.
Propose your OHBM abstract(s) as source work for future OHBM meetings by selecting one of the following options:
I am submitting this abstract as an original work to be reproduced. I am available to be the “source party” in an upcoming team and consent to have this work listed on the OSSIG website. I agree to be contacted by OSSIG regarding the challenge and may share data used in this abstract with another team.
Please indicate below if your study was a "resting state" or "task-activation” study.
Resting state
Task-activation
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Healthy subjects
Was this research conducted in the United States?
No
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
NOTE: Any human subjects studies without IRB approval will be automatically rejected.
Yes
Were any animal research approved by the relevant IACUC or other animal research panel?
NOTE: Any animal studies without IACUC approval will be automatically rejected.
Not applicable
Please indicate which methods were used in your research:
EEG/ERP
Provide references using APA citation style.
Golding, J. F., Doolan, K., Acharya, A., Tribak, M., & Gresty, M. A. (2012). Cognitive cues and visually induced motion sickness. Aviation Space and Environmental Medicine, 83(5), 477–482. https://doi.org/10.3357/ASEM.3095.2012
Keshavarz, B., Riecke, B. E., Hettinger, L. J., & Campos, J. L. (2015). Vection and visually induced motion sickness: how are they related? Frontiers in Psychology, 6, 472. https://doi.org/10.3389/fpsyg.2015.00472
Lackner, J. R. (2014). Motion sickness: more than nausea and vomiting. Experimental Brain Research, 232(8), 2493–2510. https://doi.org/10.1007/s00221-014-4008-8
Li, G., Wang, Y. K., McGill, M., Pohlmann, K., Brewster, S., & Pollick, F. (2023). Resting-state EEG in the Vestibular Region Can Predict Motion Sickness Induced by a Motion-Simulated in-car VR Platform. 2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023, 47–52. https://doi.org/10.1109/SSCI52147.2023.10371953
Miyazaki, J., Yamamoto, H., Ichimura, Y., Yamashiro, H., Murase, T., Yamamoto, T., Umeda, M., & Higuchi, T. (2015). Inter-hemispheric desynchronization of the human MT+ during visually induced motion sickness. Experimental Brain Research. https://doi.org/10.1007/s00221-015-4312-y
Riecke, B. E. (2011). Virtual Reality (J.-J. Kim (ed.)). InTech. https://doi.org/10.5772/553
Sakai, H., Harada, T., Larroque, S. K., Demertzi, A., Sugawara, T., Ito, T., Wada, Y., Fukunaga, M., Sadato, N., & Laureys, S. (2022). Left parietal involvement in motion sickness susceptibility revealed by multimodal magnetic resonance imaging. Human Brain Mapping, 43(3), 1103–1111. https://doi.org/10.1002/hbm.25710
Wei, Y., Okazaki, Y. O., So, R. H. Y., Chu, W. C. W., & Kitajo, K. (2019). Motion sickness-susceptible participants exposed to coherent rotating dot patterns show excessive N2 amplitudes and impaired theta-band phase synchronization. NeuroImage, 202, 116028. https://doi.org/10.1016/j.neuroimage.2019.116028
Zhang, W. H., Wang, H., Chen, A., Gu, Y., Lee, T. S., Wong, K. M., & Wu, S. (2019). Complementary congruent and opposite neurons achieve concurrent multisensory integration and segregation. eLife, 8, e43753. https://doi.org/10.7554/eLife.43753
Zhang, W. H., Chen, A., Rasch, M. J., Wu, S. (2016). Decentralized multisensory information integration in neural systems. Journal of Neuroscience, 36(2), 532–547. https://doi.org/10.1523/JNEUROSCI.0578-15.2016
No