Advancing Neuro-diagnostics through Virtual Reality (VR) Development of Immersive Tools for the Diagnosis of Neurodegenerative and Cognitive Disorders

Abstract

This research aims to transform neurodiagnostic methodologies by employing Virtual Reality (VR) as an innovative tool for the early detection, diagnosis, and monitoring of neurodegenerative and cognitive disorders, particularly Alzheimer’s and Parkinson’s disease. The approach leverages VR-based, patient-centric simulations designed to assess cognitive and motor functions within realistic, immersive environments. By integrating machine learning algorithms, these simulations capture detailed motor and cognitive biomarkers, allowing for nuanced analysis and early identification of subtle neurodegenerative indicators. In clinical settings, the VR framework has proven to be a valuable diagnostic tool, offering enhanced engagement and precision over traditional methods. Key advancements include VR-based cognitive testing frameworks that simulate real-life tasks, significantly aiding in assessing memory, spatial orientation, and executive functions, and VR tools for motor function evaluation that incorporate tasks like gait analysis to detect early motor impairment linked to Parkinson's disease. Through interdisciplinary collaborations with neurologists, software engineers, and AI experts, we have clinically validated these VR tools and demonstrated their efficacy in various clinical trials against standard neuropsychological assessments. Ultimately, this research underscores the potential of VR and AI to contribute to a paradigm shift in the early diagnosis and intervention of neurodegenerative disorders.