Sugar study scans brains to uncover why we crave sweets

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: 1. BMI between 18.5-25 kg/m2 2. Not pregnant or planning to become pregnant during study participation 3. Residing in the Roanoke area and/or willing/able to attend sessions at the Fralin Biomedical Research Institute (FBRI) at Virginia Tech Carilion 4. Weigh at least 110 lbs Exclusion Criteria: 1. Current inhaled nicotine use 2. History of alcohol dependence. 3. Current or past diagnosis of cardiometabolic disease or problems, including diabetes, endocrine, heart, or thyroid problems, that may influence study outcomes 4. Hemoglobin A1C \>5.7% 5. Taking medications known to influence study measures (including attention-deficit/hyperactivity disorder (ADHD), allergy, antidepressant, antipsychotic, anxiolytic, birth control, blood pressure, blood glucose, cholesterol, thyroid, sleep, or weight loss medications) 6. Active medical or neurologic disorder, including cardiometabolic conditions or gastrointestinal conditions that may influence study outcomes 7. Recent change in body weight (gain or loss of \> 5 lbs within the past 3 months) 8. Current shift work (typical pattern of work/activity overnight) 9. Previous weight loss surgery 10. Adherence to a special diet within the past 3 months (e.g., low-carb or ketogenic diet, exclusion of food groups/specific macronutrients, intermittent fasting, etc.) 11. Allergy to any food or ingredient included in the study diets, meals, or beverages 12. Currently pregnant or planning to become pregnant during study participation 13. Claustrophobia 14. Contraindications for MRI, including pacemaker, aneurysm clips, neurostimulators, cochlear or other implants, metal in eyes, regular work with steel, etc. (Note: This is an fMRI-specific exclusion criterion. Participants may be allowed to participate in all other study sessions and measures that do not involve fMRI.) 15. Contraindications for bioelectrical impedance analysis, specifically implanted devices 16. Use of substances (or combinations of substances) in doses and frequencies that could influence neural outcomes of study.