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Towards dynamic modeling of visual-vestibular conflict detection
Isabelle T Garzorz1, Paul R MacNeilage2
1German Center for Vertigo and Balance Disorders, University Hospital of Munich, Munich, Germany; Graduate School of Systemic Neurosciences, Ludwig-Maximilian University, Munich, Germany.
Progress in Brain Research
|June 27, 2019
Summary
Visual-vestibular mismatch causes sensory conflict, leading to symptoms like vertigo. This review explores how the brain detects and adapts to this conflict, proposing dynamic models for better understanding.
Area of Science:
- Neuroscience
- Sensory Integration
- Human Perception
Background:
- Visual-vestibular mismatch is frequent, stemming from travel, vestibular disorders, and virtual reality.
- Consequences include oscillopsia, vertigo, nausea, and altered eye movement adaptation.
- The neural processing of visual-vestibular conflict remains poorly understood.
Purpose of the Study:
- To review research on perceptual sensitivity to visual-vestibular conflict.
- To identify factors influencing this sensitivity, like sensory noise.
- To explore dynamic modeling approaches for understanding conflict detection.
Main Methods:
- Review of existing literature on visual-vestibular conflict.
- Analysis of factors modulating perceptual sensitivity.
- Introduction of dynamic modeling, specifically a drift-diffusion model.
Main Results:
- Perceptual sensitivity varies based on sensory noise levels.
- Dynamic models are crucial for analyzing time-varying visual-vestibular conflict.
- A drift-diffusion model predicts conflict detection from altered visual gain and latency.
Conclusions:
- Understanding visual-vestibular conflict detection requires dynamic modeling.
- Further research is needed to elucidate neural mechanisms.
- Models can predict responses to specific sensory alterations.
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