Modulating Neurocognitive Processes of Learning to Trust and Distrust in Aging
NCT05457725 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 68
Last updated 2026-04-06
Summary
Much of human interaction is based on trust. Aging has been associated with deficits in trust-related decision making, likely further exacerbated in age-associated neurodegenerative disease (Alzheimer's disease/AD), possibly underlying the dramatically growing public health problem of elder fraud. Optimal trust-related decision making and avoiding exploitation require the ability to learn about the trustworthiness of social partners across multiple interactions, but the role that learning plays in determining age deficits in trust decisions is currently unknown.
Aim: Probe the malleability of the underlying neurocircuitry of trust-learning deficits in aging. This study will utilize real-time fMRI neurofeedback to train older adults in brain activity up-regulation toward enhanced trust-related learning in aging and confirm critical mechanisms of experience-dependent social decisions in aging.
Grant R01AG072658 Aim 3: Test the malleability of trust-learning neurocircuitry toward optimized trust-related decision making in aging.
Conditions
- Aging
- Cognitive Change
- Neurocognitive Disorders, Mild
Interventions
- BEHAVIORAL
-
Contingent rtfMRI neurofeedback training
Contingent rtfMRI neurofeedback training will follow an alternating up-regulation/rest block design with screen-color cues. Visual feedback about real-time brain activity in the ROI will be provided (e.g., via a thermometer bar). During resting blocks, the thermometer bar remains static.
- BEHAVIORAL
-
Non-contingent/sham rtfMRI neurofeedback training
Non-contingent/sham rtfMRI neurofeedback training will follow an alternating up-regulation/rest block design with screen-color cues. Visual feedback about non-contingent/sham brain activity in the ROI will be provided (e.g., via a thermometer bar). During resting blocks, the thermometer bar remains static.
Sponsors & Collaborators
-
National Institute on Aging (NIA)
collaborator NIH -
University of Florida
lead OTHER
Principal Investigators
-
Natalie C. Ebner, PhD. · University of Florida
Study Design
- Allocation
- RANDOMIZED
- Purpose
- BASIC_SCIENCE
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-10-08
- Primary Completion
- 2027-04-30
- Completion
- 2027-04-30
Countries
- United States
Study Locations
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