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 purpose of the study is to identify brain biomarkers and characteristics that predict individual responses to treatment of major depression with the antidepressant drug sertraline (tradename Zoloft), a common selective serotonin reuptake inhibitor (SSRI) antidepressant. Our central hypothesis is that brain activity and connections jointly measured with functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) will be able to predict an individual's response to sertraline treatment.
Establishing Multimodal Brain Biomarkers Using Data-driven Analytics for Treatment Selection in Depression
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 Texas at Austin
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.