Identifying older adults at risk for dementia based on smartphone data obtained during a wayfinding task in the real world.

ABSTRACT: Alzheimer's disease (AD), as the most common form of dementia and leading cause for disability and death in old age, represents a major burden to healthcare systems worldwide. For the development of disease-modifying interventions and treatments, the detection of cognitive changes at the earliest disease stages is crucial. Recent advancements in mobile consumer technologies provide new opportunities to collect multi-dimensional data in real-life settings to identify and monitor at-risk individuals. Based on evidence showing that deficits in spatial navigation are a common hallmark of dementia, we assessed whether a memory clinic sample of patients with subjective cognitive decline (SCD) who still scored normally on neuropsychological assessments show differences in smartphone-assisted wayf

SUBMITTER: Marquardt J 

PROVIDER: S-EPMC11449328 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature