This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
The proposed research will use closed-loop transcranial magnetic stimulation (TMS) based on individualized brain networks to establish parameters that can reliably control brain states. This will be tested in healthy aging and mild cognitive impairment (MCI) cohorts. The investigators will study network activation and neural oscillatory mechanisms underlying the network that regulates working memory and then target this network using closed-loop TMS to the Prefrontal Cortex. Investigators will measure the impact of TMS on working memory performance and task-based neural activity. The project will use brain stimulation and network modeling techniques to enhance working memory in healthy older adults and MCI and will demonstrate the value of closed-loop, network-guided TMS for future clinical applications.
Adaptive Neuromodulation of Working Memory Networks in Aging and Dementia
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: Duke University
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.