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Dynamic Neural Computations Underlying Cognitive Control in Bulimia Nervosa
An impaired ability to exert control has been implicated in bulimia nervosa (BN), but this impairment may not represent a stable trait or be the most effective focus for treatment. This project aims to understand how predictions and value-based decisions about control may be abnormally influenced by eating in individuals with BN, thereby maintaining cycles of binge eating, purging, and restriction.
The overarching goal of this project is to test a neurocomputational model of BN that incorporates learning and decision-making components of control. The study combines functional magnetic resonance imaging (fMRI), computational modeling, and real-time mobile assessments to examine the influences of acute fasting and eating on brain function and associated control-related updating and effort-valuation processes in BN. More specifically, the study has the following main objectives: 1) To determine the influence of eating on control-related prediction updating in BN.; 2) To determine the influence of eating on control-related cognitive effort valuation in BN; 3) To use state-specific neural activation to predict BN symptoms.
Age
18 - 45 years
Sex
FEMALE
Healthy Volunteers
Yes
Center of Excellence in Eating and Weight Disorders at the Icahn School of Medicine at Mount Sinai
New York, New York, United States
Start Date
December 12, 2023
Primary Completion Date
December 31, 2027
Completion Date
December 31, 2027
Last Updated
February 17, 2026
150
ESTIMATED participants
Fasting state
OTHER
Fed state
OTHER
Magnetic Resonance Imaging
OTHER
Lead Sponsor
Icahn School of Medicine at Mount Sinai
Collaborators
NCT07478510
NCT05614024
Data Source & Attribution
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View ClinicalTrials.gov Terms and ConditionsNCT05304104