NCT Number: NCT05995496
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.
Interested in participating?
Request Info18 year–45 year
Female
Interventional
Not applicable
New York, 10029, United States
Location status: Recruiting
Jiulin Dai, B.S.
CONTACT
Laura A Berner
PRINCIPAL_INVESTIGATOR
Riley Macks
CONTACT
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Additional Inclusion Criteria for Women with Bulimia Nervosa:
Exclusion criteria
16 hours of fasting
Fed a standardized meal
Neuroimaging with computational modeling
Other names: MRI
Time frame: 1-2.5 hours after a 16-hour fast (fasted state)
Blood oxygen level dependent (BOLD) signal in frontostriatal brain circuitry associated with inhibitory control prediction errors
Time frame: 1-2.5 hours after a standardized meal (fed state)
Blood oxygen level dependent (BOLD) signal in frontostriatal brain circuitry associated with inhibitory control prediction errors
Time frame: 1-2.5 hours after a 16-hour fast (fasted state)
Blood oxygen level dependent (BOLD) signal in frontostriatal brain circuitry associated with the subjective value of expending cognitive effort on control
Time frame: 1-2.5 hours after a standardized meal (fed state)
Blood oxygen level dependent (BOLD) signal in frontostriatal brain circuitry associated with the subjective value of expending cognitive effort on control
Time frame: 1-2.5 hours after a 16-hour fast (fasted state)
Behavioral performance on the stop signal task, as measured by percent correct responses to stop trials and the trial-by-trial association between the predicted likelihood that upcoming inhibition is needed (P(stop)) from a Bayesian ideal observer model and accuracy
Time frame: 1-2.5 hours after a standardized meal (fed state)
Behavioral performance on the stop signal task, as measured by percent correct responses to stop trials and the trial-by-trial association between the predicted likelihood that upcoming inhibition is needed (P(stop)) from a Bayesian ideal observer model and accuracy
Time frame: 1-2.5 hours after a 16-hour fast (fasted state)
The subjective value of cognitive effort estimated for each N-back load level and cost- and benefit-modulated drift rate parameters from a drift- diffusion model applied to behavioral performance data
Time frame: 1-2.5 hours after a standardized meal (fed state)
The subjective value of cognitive effort estimated for each N-back load level and cost- and benefit-modulated drift rate parameters from a drift- diffusion model applied to behavioral performance data
Time frame: Baseline and 6-month follow-up
The frequency of binge-eating episodes as assessed by the Eating Disorder Examination (EDE) and Ecological Momentary Assessment (EMA). Binge-eating frequency has a minimum limit of 0 and no maximum limit. A higher score indicates a greater severity.
Time frame: Baseline and 6-month follow-up
The frequency of compensatory behaviors as assessed by the EDE and EMA. This frequency has a minimum limit of 0 and no maximum limit. A higher score indicates a greater severity.
Time frame: Baseline and 6-month follow-up
The frequency of fasting episodes as assessed by the EDE avoidance of eating item (minimum limit = 0, maximum limit = 6); the severity of dietary restriction as assessed by the Eating Pathology Symptoms Inventory (EPSI) - restricting subscale (minimum limit=0; maximum limit=24), and the frequency of restrictive eating behaviors as assessed by EMA (minimum limit=0; no maximum limit). On all measures, a higher score indicates a greater severity.
Contact information is provided by the study sponsor or research team.
Riley Macks
CONTACT
Riley Macks, B.A.
CONTACT
Icahn School of Medicine at Mount Sinai
Other
Dynamic Neural Computations Underlying Cognitive Control in Bulimia Nervosa
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