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.
Patients with major depressive disorder (MDD) exhibit increased levels of rumination (i.e. repetitive thinking and focus on negative mood states) which have been found to increase the risk of depressive relapse. The ability to reduce rumination levels among these patients is greatly needed. Rumination is known to be associated with the default mode network (DMN) region activity. Implementing the Dependency Network Analysis (DEPNA), a recently developed method by the research team to quantify the connectivity influence of network nodes, found that rumination was significantly associated with lower connectivity influence of the left medial orbitofrontal cortex (MOFC) on the right precuneus, both key regions within the DMN. This study implements the first real-time fMRI neurofeedback (Rt-fMRI-NF) network-based protocol for up-regulation of the MOFC influence on the precuneus in patients with MDD to reduce rumination levels. This will allow for more accurate explicit brain connections modulation than the standard single brain region activity; creating a larger opportunity for target clinical neuromodulation treatment in individuals with MDD.
Network-based Real-time Neurofeedback Using Ultra-high Field MRI to Reduce Rumination Levels 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: Icahn School of Medicine at Mount Sinai
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.