Development of a Multiparametric Postural Control Signature: BioVRSea paradigm

Intro: The proposed thesis builds on an extensive investigation into the complex motor and sensory neural mechanisms underlying human balance in response to visuomotor stimulation. It employs a multi-modal approach, combining neurophysiological and biomechanical measurements within a purpose-built virtual reality environment, the BioVRSea. Results: The thesis demonstrates how identifying sensitive biomarkers can contribute to the development of a multi-parametric profile of postural control in healthy individuals. This profile enables the detection of subtle changes associated with aging, medical conditions or experiences such as long-term training in unstable environments. The findings also highlight the potential of this approach to support the diagnosis of Parkinson’s disease in its early stages and persistent post-concussion symptoms. Conclusion: The identification of biomarkers from non-invasive bio-signals, combined with the novel methodologies proposed in this study, can lead to the development of innovative tools for clinical assessment, monitoring and support in evaluating postural control deficits and neurodegenerative diseases