ArticlePhysiology & behavior2020
Identification of a brain fingerprint for overweight and obesity.
Article in Physiology & behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Employing Connectome-Based Models to Predict Working Memory in Multiple Sclerosis.Brain connectivity · 2022Trial
- Sign- vs. goal-tracking is associated with greater adiposity and altered functional connectivity in response to a naturalistic food paradigm.Physiology & behavior · 2025Article
- Identifying dynamic reproducible brain states using a predictive modelling approach.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The macroscale routing mechanism of structural brain connectivity related to body mass index.Human brain mapping · 2024Article
- Stress-induced brain responses are associated with BMI in women.Communications biology · 2023Article
- Multivariate resting-state functional connectomes predict and characterize obesity phenotypes.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- The Developing Brain: Considering the Multifactorial Effects of Obesity, Physical Activity & Mental Wellbeing in Childhood and Adolescence.Children (Basel, Switzerland) · 2022Review
- Fetal programming of human energy homeostasis brain networks: Issues and considerations.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022Review
- Disrupted stepwise functional brain organization in overweight individuals.Communications biology · 2022Article
- Future Directions for Chemosensory Connectomes: Best Practices and Specific Challenges.Frontiers in systems neuroscience · 2022Article
- Functional Connectivity of the Chemosenses: A Review.Frontiers in systems neuroscience · 2022Review
- Brain responses to anticipatory cues and milkshake taste in obesity, and their relationship to bariatric surgery outcome.NeuroImage · 2021Article
- Mass spectrometry imaging of mice brain lipid profile changes over time under high fat diet.Scientific reports · 2021Article
- Inter-individual body mass variations relate to fractionated functional brain hierarchies.Communications biology · 2021Article
- Post-traumatic olfactory loss and brain response beyond olfactory cortex.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
Abstract
The brain plays a central role in the pathophysiology of overweight and obesity. Connectome-based Predictive Modeling (CPM) is a newly developed, data-driven approach that exploits whole-brain functional connectivity to predict a behavior or trait that varies across individuals. We used CPM to determine whether brain "fingerprints" evoked during milkshake consumption could be isolated for common measures of adiposity in 67 adults with overweight and obesity. We found that CPM captures more variance in waist circumference than either percent body fat or BMI, the most frequently used measures to assess brain correlates of obesity. In a post-hoc analysis, we were also able to derive a largely separable functional connectivity network predicting fasting blood insulin. These findings suggest that, in individuals with overweight and obesity, brain network patterns may be more tightly coupled to waist circumference than BMI or percent body fat and that adiposity and glucose tolerance are associated with distinct maps, pointing to dissociable central pathophysiological phenotypes for obesity and diabetes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.