Validation Study of a New Digital Diagnostic and Treatment Test Based on Interactive Video Games for Alzheimer's Disease

This study aims to validate a novel, non-invasive diagnostic and digital therapeutic approach for Alzheimer's Disease (AD), centered on an interactive video game called BGaze Therapy. This platform leverages eye-tracking technology to assess and potentially enhance cognitive functions, particularly attention and memory. The diagnostic component of the study investigates the use of eye vergence responses-elicited during a visual attention task-as potential biomarkers for early AD. Specifically, the study will re-validate eye vergence by comparing response patterns among three groups: cognitively healthy older adults, individuals with Mild Cognitive Impairment (MCI), and patients with confirmed AD, based on blood biomarkers (ßA40, ßA42, pTau181, and pTau217). The diagnostic task follows an oddball paradigm, where participants must detect target images (grapes) among distractors (other fruits) across 100 one-second trials, lasting approximately three minutes. Eye vergence is recorded using remote infrared eye-tracking, while participants simply fixate on a computer screen. The therapeutic aspect evaluates the impact of BGaze Therapy, which employs "serious games" designed to train attentional control through eye movements. The game dynamically adjusts its difficulty in real time and provides continuous feedback to enhance user engagement and learning efficacy. Participants will undergo pre-testing-including blood biomarker analysis and standardized cognitive assessments (MMSE and MoCA)-followed by a two-month training phase at care centers using the BGaze Therapy system. Post-intervention testing will mirror the pre-test protocol to assess cognitive and neurological changes. A total of 60 participants (30 with MCI and 30 with AD) will be recruited for the validation phase. A subsample (15 MCI and 15 AD participants) will be selected for the treatment phase. Ultimately, this study aims to establish BGaze as a cost-effective, scalable, and non-invasive tool for the