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.
Psychiatric disorders characterized by compulsivity, such as obsessive-compulsive disorder (OCD), result in considerable functional impairment and many individuals do not respond to gold-standard treatments. Compulsivity has long been thought to occur due to exaggerated habits and reduced goal-directed control, although more recently, this conceptualization of compulsivity as an imbalance of two cognitive systems has been challenged as overly narrow. This study will recruit 100 individuals (50 adults diagnosed with OCD, 50 healthy controls) and leverage the measurement precision offered by theory-driven computational modeling in combination with electroencephalogram (EEG) to go beyond this binary theory of compulsivity, revealing how more complex interactions of neurocognitive subcomponents contribute to compulsivity-information that could ultimately lead to improved treatment personalization and clinical outcomes.
Dissecting Neurocognitive Components of Compulsivity Using Computational Modeling and EEG
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.