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Predictors Of Cognitive Decline Using Digital Devices

NCT07051408 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 135

Last updated 2026-05-14

No results posted yet for this study

Summary

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.

Conditions

  • Dementia
  • Mild Cognitive Impairment (MCI)
  • Subjective Cognitive Decline (SCD)
  • Rapid Eye Movement Sleep Behavior Disorder
  • Healthy Control Patients of the Same Age

Sponsors & Collaborators

  • University of Oxford

    collaborator OTHER

  • University College, London

    lead OTHER

Principal Investigators

  • Zuzana Walker, MD · University College, London

Eligibility

Min Age
40 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-07-19
Primary Completion
2025-11-18
Completion
2030-01-31

Countries

  • United Kingdom

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07051408 on ClinicalTrials.gov