Aging, Cognitive Change, Neurocognitive Disorders, Mild
Conditions
Keywords
Decision Making, Trust, Learning, Socioemotional, Vulnerability to Exploitation
Brief 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.
Detailed description
This study will apply rtfMRI neurofeedback training as an intervention method, to demonstrate that older adults can be trained in volitional brain activity up-regulation, reducing their trust-learning deficits. The study will comprises several MRI sessions including pre-training, training, and post-training scans.
Interventions
BEHAVIORALContingent 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.
BEHAVIORALNon-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
University of Florida
National Institute on Aging (NIA)
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
DOUBLE (Subject, Outcomes Assessor)
Masking description
Participant and outcome assessor are not aware of the experimental vs. control
Intervention model description
Between subject design (experimental vs. control)
Eligibility
Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
No
Inclusion criteria
* Able to provide verbal and written informed consent * Fluent English speaker * At least 8th grade education * On stable medication regimen
Exclusion criteria
* Pregnancy * Magnetic resonance imaging contraindications (e.g., certain metallic objects in body, claustrophobia) * Current major depression defined as scores \>14 on the Beck Depression Inventory-II * Impaired scores on the Telephone Interview for Cognitive Status (TICS; cut-off of \>30) * Current use of medications with significant anticholinergic properties due to potential influence on memory ("memory enhancing"; e.g., Aricept or Namenda) * Current use of anticonvulsant, neuroleptic, sedatives, or other medications known to affect cognition * Uncorrected visual and hearing impairments * Neurologic conditions affecting the brain (e.g., severe stroke, epilepsy, traumatic brain injury with \>30-minute loss of consciousness) * Impaired scores on a cognitive screening measure, the Montreal Cognitive Assessment (MoCA); for older adults the cutoff will be age and education corrected * Unstable medical illness (e.g., metastatic cancer) * Significant cardiovascular conditions (e.g., major heart attack) * Will not exclude participants who are taking anti-depressant medications. Use of antidepressants (particularly SSRI's) and anxiolytic medications will be recorded and included in post-hoc analyses
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Neurofeedback Training Success | at baseline and after training completion about 1 week later | Increase in BOLD signal in ROI during up-regulation trials administration of computerized learning tasks, with contrasting groups and conditions |
| Behavioral Benefits | at baseline and after training completion about 1 week later | Increase in trust-related learning reflected in greater accuracy (e.g., in percent) on trust learning task |
Countries
United States
Contacts
CONTACTDana Arnold, M.S.
CONTACTRyan Faulkner
PRINCIPAL_INVESTIGATORNatalie C. Ebner, PhD.
University of Florida
Outcome results
None listed