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Dynamic brain connectivity: linking inter-group difference and individual susceptibility changes in visually induced
Yixuan Wang1,2, Yue Wei1,2, Richard H Y So3,4
1Department of Basic Psychology, School of Psychology, Shenzhen University, 3688 Nanhai Avenue, Nanshan District, Shenzhen, 518060 China.
Cognitive Neurodynamics
|November 7, 2025
Summary
Brain connectivity changes in the temporal-parietal regions are linked to visually induced motion sickness (VIMS) susceptibility. This neural pattern can predict and track changes in VIMS, offering potential for monitoring and management.
Area of Science:
- Neuroscience
- Virtual Reality Research
- Biomedical Engineering
Background:
- Visually induced motion sickness (VIMS) is a common issue in virtual environments.
- Individual susceptibility to VIMS varies and can change with experience.
- The underlying neurological mechanisms of VIMS susceptibility changes are not well understood.
Purpose of the Study:
- To identify dynamic brain connectivity patterns associated with VIMS susceptibility.
- To investigate how these connectivity patterns change with adaptation training.
- To explore the potential of using brain connectivity for monitoring VIMS.
Main Methods:
- Participants with varying VIMS susceptibility underwent adaptation training (7-10 days of roll rotation).
- Theta-band EEG phase synchronization and VIMS susceptibility were measured before and after training.
- Machine learning models were used to analyze whole-brain connectivity patterns.
Main Results:
- Inter-hemispheric connectivity in temporal-parietal regions differed between susceptible and resistant groups.
- This connectivity increased with enhanced resistance to VIMS and correlated negatively with symptom severity.
- Machine learning models accurately identified susceptible individuals and tracked susceptibility changes.
- Observed effects were robust across different stimulus types.
Conclusions:
- Inter-hemispheric coordination in temporal-parietal regions is crucial for VIMS.
- EEG phase synchronization shows promise as a tool for assessing and monitoring VIMS susceptibility.
- Findings support the use of neural connectivity for personalized VIMS management.
