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Optimizing a Closed-loop Digital Meditation Intervention for Remediating Cognitive Decline and Reducing Stress in Older Adults
The goals of the proposed research are to first determine the minimal and/or optimal dose of a digital intervention required for cognitive enhancement, and then to examine the impact of several potential moderators of treatment effects (i.e., cognitive decline, AD polygenic hazard score, cardiovascular risk, and race/ethnicity). This knowledge gained from his high-impact study with transform the field of cognitive interventions, paving the way for a precision medicine model for cognitive enhancing interventions that improve quality of life for older adults and individuals with cognitive deficits at risk of developing dementia.
Age
60 - 99 years
Sex
ALL
Healthy Volunteers
Yes
University of California San Francisco
San Francisco, California, United States
Start Date
April 1, 2024
Primary Completion Date
January 1, 2029
Completion Date
June 1, 2029
Last Updated
February 24, 2026
4,000
ESTIMATED participants
MediTrain
DEVICE
Worder
DEVICE
Lead Sponsor
University of California, San Francisco
Collaborators
Data Source & Attribution
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Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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View ClinicalTrials.gov Terms and ConditionsNCT07031921