[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100520186":3},{"organization":4,"armGroups":7,"interventions":24,"overallOfficials":29,"centralContacts":38,"locations":44,"responsibleParty":62,"collaborators":29,"id":66,"slug":67,"hasResults":68,"nctId":69,"briefTitle":70,"officialTitle":71,"acronym":72,"eligibilityCriteria":73,"healthyVolunteers":74,"sex":75,"minAge":76,"maxAge":77,"enrollmentInfo":78,"targetDuration":29,"studyType":81,"phases":82,"briefSummary":84,"conditions":85,"keywords":29,"overallStatus":47,"whyStopped":29,"lastUpdateSubmitDate":87,"lastUpdatePostDateStruct":88,"startDateStruct":91,"completionDateStruct":93,"leadSponsor":95,"locationsCount":96},{"fullName":5,"class":6},"Virginia Polytechnic Institute and State University","OTHER",[8,16,20],{"label":9,"type":10,"description":11,"interventionNames":12},"CS- First","EXPERIMENTAL","Participants who receive the conditional stimulus (CS) - first.",[13,14,15],"Other: CS- Beverage","Other: CS+Fast","Other: CS+Slow",{"label":17,"type":10,"description":18,"interventionNames":19},"CS+Fast First","Participants who receive the CS+Fast First",[13,14,15],{"label":21,"type":10,"description":22,"interventionNames":23},"CS+Slow First","Participants who receive the CS+Slow First",[13,14,15],[25,30,34],{"type":6,"name":26,"description":27,"armGroupLabels":28,"otherNames":29},"CS- Beverage","Conditioned Stimulus - (CS-): Flavored beverage solution with sweetness-matched sucralose. Participants will consume flavored beverage solutions sweetened with sucralose to match the sweetness of 110 calories of sucrose in 6 exposure sessions within 1 week. One exposure session will include pre- and post-consumption blood draws and indirect calorimetry measurement over a 2-hour period. The other 4 exposure sessions will occur at specified times outside the laboratory sessions. Subjective ratings of internal state (i.e., hunger, fullness, and thirst) will be collected throughout each exposure. Subjective ratings of liking and wanting of each beverage will also be assessed.",[17,21,9],null,{"type":6,"name":31,"description":32,"armGroupLabels":33,"otherNames":29},"CS+Fast","(CS+): Flavored beverage solution with 110 calories of sucrose. Participants will consume flavored beverage solutions containing 110 calories of sucrose in 6 exposure sessions within 1 week. One exposure session will include pre- and post-consumption blood draws and indirect calorimetry measurement over a 2-hour period. The other 4 exposure sessions will occur at specified times outside the laboratory sessions. Subjective ratings of internal state (i.e., hunger, fullness, and thirst) will be collected throughout each exposure. Subjective ratings of liking and wanting of each beverage will also be assessed.",[17,21,9],{"type":6,"name":35,"description":36,"armGroupLabels":37,"otherNames":29},"CS+Slow","(CS+): Flavored beverage solution with 110 calories of maltodextrin. Participants will consume flavored beverage solutions containing 110 calories of maltodexrin in 6 exposure sessions within 1 week.One exposure session will include pre- and post-consumption blood draws and indirect calorimetry measurement over a 2-hour period. The other 4 exposure sessions will occur at specified times outside the laboratory sessions. Subjective ratings of internal state (i.e., hunger, fullness, and thirst) will be collected throughout each exposure. Subjective ratings of liking and wanting of each beverage will also be assessed.",[17,21,9],[39],{"name":40,"role":41,"phone":42,"phoneExt":29,"email":43},"Alexandra G DiFeliceantonio, PhD","CONTACT","5405262285","dife@vt.edu",[45],{"facility":46,"status":47,"city":48,"state":49,"zip":50,"country":51,"countryCode":52,"cosmosGeoPoint":53,"geoPoint":58,"contacts":59},"Fralin Biomedical Research Institute at VTC","RECRUITING","Roanoke","Virginia","24016","United States","US",{"type":54,"coordinates":55},"Point",[56,57],-79.94143,37.27097,{"lat":57,"lon":56},[60],{"name":40,"role":41,"phone":61,"phoneExt":29,"email":43},"540-526-2285",{"type":63,"investigatorFullName":64,"investigatorTitle":65,"investigatorAffiliation":5,"oldNameTitle":29,"oldOrganization":29},"PRINCIPAL_INVESTIGATOR","Alexandra DiFeliceantonio","Assitant Professor","100520186","neural-and-metabolic-factors-in-carbohydrate-reward-100520186",false,"NCT06053294","Neural and Metabolic Factors in Carbohydrate Reward","Neural and Metabolic Factors in Carbohydrate Reward: An Examination of Speed","CARB","Inclusion Criteria:\n\n1. BMI between 18.5-30 kg\u002Fm2\n2. Not pregnant or planning to become pregnant during study participation\n3. Residing in the Roanoke area and\u002For willing\u002Fable to attend sessions at the Fralin Biomedical Research Institute\n4. Able to speak and write in English\n\nExclusion Criteria:\n\n1. Current inhaled nicotine use\n2. History of alcohol dependence.\n3. Current or past diagnosis of diabetes or thyroid problems.\n4. Taking medications known to influence study measures (including antiglycemic agents, thyroid medications, sleep medications)\n5. Active medical or neurologic disorder.\n6. Current shift work (typical pattern of work\u002Factivity overnight)\n7. Previous weight loss surgery\n8. Adherence to a special diet within the past 3 months (e.g., low-carb or ketogenic diet, exclusion of food groups\u002Fspecific macronutrients, intermittent fasting, etc.)\n9. Allergy to any food or ingredient included in the study diets, meals, or beverages\n10. Currently pregnant or planning to become pregnant during study participation\n11. Claustrophobia\n12. Contraindications for MRI, including pacemaker, aneurysm clips, neurostimulators, cochlear or other implants, metal in eyes, regular work with steel, etc.",true,"ALL","18 Years","45 Years",{"count":79,"type":80},64,"ESTIMATED","INTERVENTIONAL",[83],"NA","Dietary factors contributed to nearly 50% of all cardiometabolic deaths in the US in 2012, making it one of the leading causes of preventable death in the US, second only to tobacco use. Human diets and food choices can't help but be influenced by the ubiquitous availability of processed foods of high-energy density and low nutrient content, consumption of which can lead to obesity, type II diabetes, heart disease, and other types of metabolic dysfunction. Surprisingly, food reinforcement does not rely on perceived energy density. Rather food reinforcement is associated with actual energy density and therefore, on an implicit knowledge of caloric content. That implicit knowledge must have a neural signature and a mechanism by which the gut communicates nutritive value to the brain. There is evidence, at least for fat and carbohydrates, that these pathways are separable, but terminate in a common neural structure, the dorsal striatum or caudate. This could be one mechanism by which modern processed foods high in both fat and carbohydrate are so sought after and readily consumed, In fact, when experimentally tested, fat and carbohydrate combinations were more reinforcing calorie for calorie than fat or carbohydrates alone and the level of reinforcement correlated with activity in reward- related brain areas. Beyond simple reinforcing value, it is known from the literature on drugs of abuse that the faster a drug is arrives at the brain, the higher it's abuse potential, however, little is known about how the kinetics of nutrient excursion influence food preference, choice, and brain activity. This project aims to test this specifically for carbohydrate reward.",[86],"Carbohydrate Metabolism","2026-06-30",{"date":89,"type":90},"2026-07-02","ACTUAL",{"date":92,"type":90},"2023-05-01",{"date":94,"type":80},"2029-05-01",{"name":5,"class":6},1]