Aging Clinical Trial
Official title:
Characterizing and Modulating Neurocognitive Processes of Learning to Trust and Distrust in Aging II
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. The proposed work is conceptually embedded in the Changes in Integration for Social Decisions in Aging (CISDA) framework. This framework describes how the integration of decision-relevant information is impacted by trajectories of change in theory of mind, memory systems, and social-emotional processing with age. Two innovative trust-learning paradigms - the Social Iowa Gambling Task (sIGT) and the FLorida-Arizona Gambling Task (FLAG) - will be leveraged to test CISDA predictions. 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.
This study will apply rtfMRI neuro-feedback 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 compromise of several MRI sessions including pre-training, training, and post-training scans. After post-training, the effects of neuro-feedback training on far transfer to phishing susceptibility and exploitation risks will be assessed using PEST and survey measures. ;
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