Obesity Clinical Trial
— BrainFoodOfficial title:
How Altered Gut-Brain-Axis Influences Food Choices. (BrainFood) Part 1: Brain Imaging and Computational Modelling
Verified date | September 2022 |
Source | University Hospital Inselspital, Berne |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Obesity is currently one of the most substantial health burdens. Due to the production of marked and sustained weight loss, bariatric surgery is an increasingly used therapeutic modality to combat obesity and its comorbidities. Surgical rearrangement of the gastrointestinal tract remarkably alters metabolism and hormones acting on neurological and hypothalamic signalling involved in food decision-making and eating behaviour. In this context, many patients who underwent bariatric surgery self-report changes in appetite, satiety and food preferences. Furthermore, new gut hormone-based (e.g. GLP1-receptor agonist or GLP-1-RA) pharmacotherapies which mimic the effect of bariatric surgery show impressive efficacy on weight reduction by modulation of food behaviour. However, the mechanisms of such functional changes, and how they relate to food decision-making remain unknown. In this project, the investigators propose a novel approach to unravel the effect of obesity treatments (surgical and non-surgical) on the neural coding of nutritional attributes and its impact on dietary choices using a combination of brain imaging, computational modelling of food behaviour and assessment of eating and food purchase behaviour in daily life.
Status | Completed |
Enrollment | 50 |
Est. completion date | September 5, 2022 |
Est. primary completion date | September 5, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion criteria (all participants): - Female and male subjects aged 18 years or older - Proficient German language skills (including written) Inclusion criteria for Group 1 (pilot protocol): - Class II-III obesity (BMI=35kg/m2) - Planned for bariatric surgery (Roux-en-Y gastric bypass) Inclusion criteria for Group 1 (refined protocol): - BMI=30kg/m2 or BMI=28kg/m2 with adiposity-related comorbidities (prediabetes, type 2 diabetes mellitus, hypertension, dyslipidemia) - Referred for obesity treatment (surgical or non-surgical) Inclusion criteria for Group 2 (pilot and refined protocols): - Normal body weight (BMI 18.5-24.9kg/m2) - Absence of evidence of any active or chronic disease as judged by the Clinical Investigator Exclusion criteria: - Incapacity to give informed consent - Previous or current neurological or severe psychiatric illness - Current or planned pregnancy or breastfeeding - Claustrophobia - MRI-contraindications (pacemaker/defibrillator, neurostimulator, drug pump, cochlear implant, heart valve/vascular clips, shunt valve) - Pilot protocol only: Diabetes according to WHO (World Health Organization ) definition (Fasting plasma glucose =7.0mmol/l, random plasma glucose =11.1mmol/l, HbA1c =6.5%) |
Country | Name | City | State |
---|---|---|---|
Switzerland | Department of Diabetes, Endocrinology, Clinical Nutrition and Metabolism, Inselspital, Bern University Hospital | Bern |
Lead Sponsor | Collaborator |
---|---|
Lia Bally | ETH Zurich |
Switzerland,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Representational similarity analysis to assess neural encoding of food attributes | Representational similarity analysis is used to analyse the correlation between a voxel-wise representational dissimilarity matrix and a behavioural representational dissimilarity matrix. The correlation of the activity of each voxel for each pair of food items is used to define the voxel-wise representational dissimilarity matrix. Similarly, the correlation of the subjective ratings for each pair of food items is used to define the behavioural representational dissimilarity matrix. The correlation between the voxel-wise representational dissimilarity matrix and the behavioural representational dissimilarity matrix is then assessed to determine if the voxels are encoding the food attributes. | Continuously while participants perform the tasks (during 2.5 hours) | |
Primary | Nutrient factor weights | The nutrient factor weights are estimated using a linear regression with the subjective value ratings as dependent variable and nutrient factors ratings as independent variables and using a logistic regression with the choice as a dependent variable and the nutrient factor ratings as independent variables. | Continuously while participants perform the tasks (during 2.5 hours) | |
Secondary | Differences in activity in neural areas involved in self-control and valuation (Dorsolateral prefrontal cortex (dlPFC), ventromedial prefrontal cortex (vmPFC), orbitofrontal cortex (OFC), anterior cingulate cortex (ACC), insula, hippocampus) | Activity in the neural areas will be compared between groups | Continuously while participants perform the tasks (during 2.5 hours) |
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