Clinical Manifestations

Early detection is crucial for alleviating Alzheimer's disease (AD) burden. At present, assessment for early detection of AD is time-consuming, costly, and often invasive. In recent years, various eye-tracking methodologies have emerged, and they show promising results in detecting persons at risk of developing AD dementia (ADD). This study aims at identifying suitable anti-saccadic measures to detect people with early AD. Preliminary data from 21 cognitively impaired and 45 cognitively unimpaired individuals was collected from a memory clinic (Karolinska University Hospital, Sweden). The data included results from an anti-saccadic task, neuropsychological tests battery, demographic information, cerebrospinal fluid markers (CSF), and AI-computed volumetry from magnetic resonance imaging. Median values were calculated on anti-saccadic measures with the strongest associations to cognition, CSF, and volumetry. The identified measures were proportion of errors (PoE) and latency of a correction saccade (LoCS). Subsequently, the clusters of high and low performers were compared using the Mann-Whitney U test. Both PoE and LoCS were able to distinguish between high and low atrophy grade in all cortical brain regions with the highest effect size found in the right cerebral lobe for PoE (U = 266.00, d = 1.36, p