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.
In this study the investigators aim to assess the correlates of neurophysiological measures (measurement of brain magnetically evoked response) using DELPHI system. The DELPHI system device is a computerized, electromechanical medical device that produces and delivers non-invasive Transcranial Magnetic Stimulation (TMS) fields to induce electrical currents directed at regions of the cerebral cortex and records the resultant Electroencephalogram (EEG) brain electrophysiological response. DELPHI analyzes the TMS Evoked Potential (TEP) and produces quantitative output measures. Objectives include: * To use TMS-evoked EEG measures of brain function in patients with chronic pain using the QuantalX DELPHI system to predict patient specific pain diagnoses using machine learning classification methods. * To evaluate longitudinal associations between TMS-evoked EEG measures and ratings of chronic pain. * To monitor associations between TMS-evoked EEG biomarkers and therapy success for three different classes of medications.
Deriving Candidate Diagnostic and Prognostic Network Biomarkers for Chronic Pain Using the QuantalX DELPHI TMS-EEG System
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: University of California, San Francisco
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.