ReviewJournal of clinical medicine2022
Functional Magnetic Resonance Imaging and Obesity-Novel Ways to Seen the Unseen.
Review in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 16 citations in OpenAlex.
- Research Progress on Muttony Flavor Regulation and the Establishment of Its Digital Intelligent Evaluation System From a Global Perspective.Comprehensive reviews in food science and food safety · 2026Review
- Body weight-related alterations in white matter functional connectivity in children: An fMRI study.BMC neurology · 2026Article
- Neurometabolic and Neuroinflammatory Consequences of Obesity: Insights into Brain Vulnerability and Imaging-Based Biomarkers.International journal of molecular sciences · 2026Review
- Monosodium glutamate: A hidden risk factor for obesity?Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Review
- Reward responses to vicarious feeding depend on body mass index.Cognitive, affective & behavioral neuroscience · 2025Article
- The Interplay Between Psychological and Neurobiological Predictors of Weight Regain: A Narrative Review.Nutrients · 2025Review
- Obesity, Cardiovascular and Neurodegenerative Diseases: Potential Common Mechanisms.Physiological research · 2023Review
- Current Insights into the Potential Role of fMRI in Discovering the Mechanisms Underlying Obesity.Journal of clinical medicine · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity remains a pandemic of the 21st century. While there are many causes of obesity and potential treatments that are currently known, source data indicate that the number of patients is constantly increasing. Neural mechanisms have become the subject of research and there has been an introduction of functional magnetic resonance imaging in obesity-associated altered neural signaling. Functional magnetic resonance imaging has been established as the gold standard in the assessment of neuronal functions related to nutrition. Thanks to this, it has become possible to delineate those regions of the brain that show altered activity in obese individuals. An integrative review of the literature was conducted using the keywords ""functional neuroimaging" OR "functional magnetic resonance "OR "fmri" and "obesity" and "reward circuit and obesity" in PubMed and Google Scholar databases from 2017 through May 2022. Results in English and using functional magnetic resonance imaging to evaluate brain response to diet and food images were identified. The results from functional magnetic resonance imaging may help to identify relationships between neuronal mechanisms and causes of obesity. Furthermore, they may provide a substrate for etiology-based treatment and provide new opportunities for the development of obesity pharmacotherapy.
Indexed as
Identifiers
What Socratic 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 Socratic graph.