Enhancing Attention and Wellbeing Using Digital Therapeutics

University of California San Francisco (UCSF)

Status: Enrolling

Conditions: MCI; Aging; Cognitive Decline

Treatments: Device: MediTrain; Device: Worder

Study type: Interventional

Funder types: Other; NIH

Identifiers

NCT06397469

AG076668

5R01AG076668 (U.S. NIH Grant/Contract)

Details and patient eligibility

About

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.

Enrollment: 4,000 estimated patients

Sex: All

Ages: 60 to 99 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• 60+ years old (adult)
• English language fluency
• owning a smartphone or tablet

Exclusion criteria

• Under 60 years old (minor)

Trial design

Primary purpose: Prevention

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Triple Blind

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4,000 participants in 5 patient groups

MediTrain 30m/day for 6wks

Experimental group

Description:

Participants will engage with a digital meditation app for the time listed above.

Treatment:

Device: MediTrain

MediTrain 15m/day for 6wks

Experimental group

Description:

Participants will engage with a digital meditation app for the time listed above.

Treatment:

Device: MediTrain

MediTrain 30m/day for 3wks

Experimental group

Description:

Participants will engage with a digital meditation app for the time listed above.

Treatment:

Device: MediTrain

MediTrain 15m/day for 3wks

Experimental group

Description:

Participants will engage with a digital meditation app for the time listed above.

Treatment:

Device: MediTrain

Active Control Group

Active Comparator group

Description:

An active control application will be used for this arm. The total training experience here will be for 6 weeks (5 days/week), with each training session lasting \~30 minutes (not including self-paced breaks). Here an app that is matched in terms of expectancy of benefits compared to our training groups will be determined by questioning 100 naïve individuals to predict their expected improvement on each cognitive domain across a multitude of possible applications.

Treatment:

Device: Worder