Neuronal and Behavioral Effects of Implicit Priming in Obese Individuals
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Feeding Behavior
- Obesity
- Overweight
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentMasking: Single (Participant)Primary Purpose: Treatment
Participation Requirements
- Age
- Between 21 years and 65 years
- Gender
- Both males and females
Description
One factor that may contribute to susceptibility to obesity is a high responsivity to high-calorie foods in terms of cognitive factors such as emotional associations, reward value or reinforcing properties of food. Many of these processes involve learned associations thought to develop via classical...
One factor that may contribute to susceptibility to obesity is a high responsivity to high-calorie foods in terms of cognitive factors such as emotional associations, reward value or reinforcing properties of food. Many of these processes involve learned associations thought to develop via classical conditioning through repeated pairings with external stimuli, which can influence food preferences and intake. As such, improving our understanding of the neuronal mechanisms underlying these processes and attempting to modify them may be a useful strategy to promote weight loss and maintenance. Therefore, the proposed study aims to investigate the effects of altering food perception on neuronal responses and food intake behaviors by using implicit priming, in which positively or negatively valenced images are presented immediately prior to food images, but are not consciously perceived. The project goals are to determine the impact of the implicit priming intervention on both brain responses to food cues and on food intake behaviors in overweight/obese individuals. Food image ratings and neuronal responses to visual food cues will be assessed before and after either (a) an active implicit priming intervention or (b) a control intervention. Following fMRI, food intake will be measured.
Tracking Information
- NCT #
- NCT02347527
- Collaborators
- National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
- Investigators
- Principal Investigator: Jason R Tregellas, PhD University of Colorado - Anschutz Medical Campus Principal Investigator: Kristina T Legget, PhD University of Colorado - Anschutz Medical Campus