NeuroSync: a data-driven augmented reality neurorehabilitation platform of neurologic music therapy-based games, puzzles, and exercises to stimulate neuroplasticity and prolong functional independence in individuals suffering from Alzheimer’s Disease

Alzheimer’s Disease (AD) is a neurodegenerative disease that compromises neural connectivity and the body’s ability to repair brain tissue, ultimately leading to a fatal brain atrophy that robs its victims of their memories, independence, and identity. However, recent studies suggest therapies which stimulate neuroplasticity may be central to future AD treatments which slow and/or reverse its progression. As a result, there is rising momentum for evidence-based methods that stimulate neuroplasticity, coupled with treatment approaches that leverage this neurobiological phenomenon to support positive AD-patient outcomes. Neurologic Music Therapy (NMT) offers one such approach and has shown promise of revolutionizing the treatment of AD by using the neuroscience of music to design tailored therapeutic interventions that stimulate neuroplasticity and improve cognition, mobility, and behavior.

Given these considerations, Outlier Technology is developing NeuroSync a data-driven, NMT-based augmented reality neurorehabilitation platform which will improve the ability of clinicians and caregivers to offer affordable, personalized neurological care to AD patients. NeuroSync features a curriculum of immersive, evidence-informed neurorehabilitative games, puzzles, and exercises that use analytics captured on the user’s performance and interactions with musical movement to adapt its interventions in response to the user’s evolving medical needs and abilities. This innovative platform combines nostalgia, active music making, movement, and bioinformatics to: a) stimulate neuroplasticity and prime the user’s brain for learning, b) target measurable stabilization and/or improvements in metrics for functional independence and quality of life and c) provide user-friendly analytics that can be used to understand patient progress and tailor treatments to improve care.