Loading clinical trials...
Loading clinical trials...
Dissecting Neurocognitive Components of Compulsivity Using Computational Modeling and EEG
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.
Age
18 - 55 years
Sex
ALL
Healthy Volunteers
Yes
Icahn School of Medicine at Mount Sinai
New York, New York, United States
Start Date
July 9, 2025
Primary Completion Date
March 31, 2030
Completion Date
March 31, 2030
Last Updated
October 23, 2025
100
ESTIMATED participants
Exposure and Response Prevention
BEHAVIORAL
Lead Sponsor
Icahn School of Medicine at Mount Sinai
Collaborators
NCT06763081
NCT06983301
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and Conditions