Unknown

Dataset Information

A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices.


ABSTRACT: Remote monitoring of cognition holds the promise to facilitate case-finding in clinical care and the individual detection of cognitive impairment in clinical and research settings. In the context of Alzheimer's disease, this is particularly relevant for patients who seek medical advice due to memory problems. Here, we develop a remote digital memory composite (RDMC) score from an unsupervised remote cognitive assessment battery focused on episodic memory and long-term recall and assess its construct validity, retest reliability, and diagnostic accuracy when predicting MCI-grade impairment in a memory clinic sample and healthy controls. A total of 199 participants were recruited from three cohorts and included as healthy controls (n = 97), individuals with subjective cognitive decline (n = 

SUBMITTER: Berron D 

PROVIDER: S-EPMC10965892 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature