Authors: Dr. Damiano Perri and Dr. Osvaldo Gervasi, University of Perugia, Italy
About the Study
The study “A Novel Computational Framework for Visual Snow Syndrome” explores two innovative approaches to understanding and managing Visual Snow Syndrome (VSS) through computational modeling and technology.
One approach uses Augmented and Virtual Reality to simulate VSS visual perception, while the other builds on the Visual Snow Initiative’s Visual Imagery Project (VIP)—a structured online study launched in 2020.
The VIP program involved a 21-to 30-day protocol where participants engage with dynamic visual stimuli, customized based on research and patient reports, to potentially alleviate symptoms. Results varied, with many experiencing symptom relief, some noting temporary improvement, and others seeing no change.
VSI actively shares its resources, including VIP, to support researchers exploring visual stimuli as a potential therapy for VSS. Building on VSI’s work, researchers developed a web-based Virtual Reality application that generates parametrically varied videos to improve accessibility and effectiveness. The study also introduces a computational model to simulate VSS symptoms, such as static, afterimages, and light sensitivity, bridging the gap between subjective experiences and scientific analysis.
Key Findings
• Computational Modeling of VSS: Developed an algorithm to replicate visual disturbances, advancing scientific understanding.
• Virtual Reality & Digital Applications: Created interactive tools to simulate VSS and personalize rehabilitation exercises.
• Strong Positive Feedback: Volunteer testing showed high appreciation, with participants emphasizing the value of simulation tools in improving understanding, communication, and access to tailored therapy.
This study represents a major advancement in VSS research, utilizing computational models and immersive technology to improve understanding and symptom management. By building on VSI’s initiatives, it underscores the potential of emerging technologies to enhance quality of life for those with VSS. Researchers continue to explore innovative approaches, including exposure to visual noise, dynamic imagery, virtual reality (VR), and other multimedia-based interventions.
