Using Neuroscience to Optimize Digital Health Interventions Across Adulthood
| Status: | Recruiting |
|---|---|
| Conditions: | Healthy Studies |
| Therapuetic Areas: | Other |
| Healthy: | No |
| Age Range: | 30 - 80 |
| Updated: | 2/2/2019 |
| Start Date: | January 17, 2019 |
| End Date: | April 17, 2019 |
| Contact: | Eliana Armora, B.S. |
| Email: | eliana.armora@duke.edu |
| Phone: | 9196886144 |
The goal of this study is to investigate the extent to which brain imaging data predict
health behavior change, compared to participant self-reports.
health behavior change, compared to participant self-reports.
Inclusion Criteria:
- Healthy adults ages 30-80 who read/understand English, 50% male and 50% female, and a
maximum of 50% will be white.
Exclusion Criteria:
- Pregnancy
- History of head injury
- Mental illness diagnosis
- Psychoactive medication
- Psychiatric or neurological history
- Claustrophobia
- Ferrous metal implanted within the body (those with fMRI-compatible implanted devices
will not be excluded, but the eligibility of their devices will be first verified.)
- Asthma, injuries, or other health conditions which inhibit daily physical activity
- Subjects must not already meet the recommended amount of physical activity of
moderate-intensity physical activity for 150 minutes a week or 75 minutes at
vigorous-intensity a week.
- Duke students are excluded from this study
We found this trial at
1
site
Duke University Younger than most other prestigious U.S. research universities, Duke University consistently ranks among...
Click here to add this to my saved trials
