Predictors Of Cognitive Decline Using Digital Devices

The overall aim of this study is to find out if people with cognitive difficulties will wear and use different types of digital technology, and if they will allow data from that technology and their clinical profile to be collected. Participants will be patients in Essex Memory clinic and their partners/carers. The digital technology used will include a smartwatch, a sleep headband and two smartphone applications, which have been selected as part of the Early Detection of Neurodegenerative Disease (EDoN) initiative. The investigators will also investigate how the digital data can be analyzed together with routinely captured clinical data using machine learning models, a complex type of statistical analysis. The aim of the wider EDoN initiative is to combine digital and clinical data to develop machine learning models which can predict individuals' risk of developing dementia decades before the onset of symptoms.

NCT Number	NCT07051408
Lead Sponsor	University College, London Collaborators: University of Oxford
Conditions	Dementia, Mild Cognitive Impairment (MCI), Subjective Cognitive Decline (SCD), Rapid Eye Movement Sleep Behavior Disorder, Healthy Control Patients of the Same Age
Enrollment	135 participants
Start Date	2022-07-19
Primary Completion	2025-11-18 (estimated)
Study Completion	2030-01-31 (estimated)
Updated on ClinicalTrials.gov	2026-05-14