SynthesisFrontiers in psychiatry2022
Gray matter volume alterations in subjects with overweight and obesity: Evidence from a voxel-based meta-analysis.
Synthesis in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
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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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Network-Level Convergence of Adiposity-Related Gray Matter Alterations: A Coordinate-Based Connectome Mapping Meta-Analysis With Imaging Transcriptomics.Human brain mapping · 2026Pooled it
- Biopsychosocial and Environmental Factors That Impact Brain-Gut-Microbiome Interactions in Obesity.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2026Pooled it
- Effects of Exercise on Structural and Functional Brain Patterns in Schizophrenia-Data From a Multicenter Randomized-Controlled Study.Schizophrenia bulletin · 2024Trial
- Large-Scale Brain Network Connectivity Mediates the Association Between Metabolic Risk Factors and Cognition: An fMRI Study of the Human Connectome Project.International journal of endocrinology and metabolism · 2026Article
- Body Mass Index and Dietary Self-Regulation Are Associated with Attenuated Error Monitoring in Young Adults.Nutrients · 2026Article
- Association of Long-Term Trajectories in Obesity Indices With Neuroimaging Metrics and Cognition: A Population-Based Study.Diabetes, obesity & metabolism · 2026Article
- Article
- An Investigation of the Correlation Between Total Intracranial Volume and Body Mass Index.Saudi medical journal · 2026Article
- Characterizing the relationship between functional network dynamics and the body mass index.Frontiers in nutrition · 2026Article
- Weight matters: Higher BMI is associated with changes in the brain connectome in health and depression.Neuroscience applied · 2026Article
- Cognitive Implications of White Matter Alterations in Overweight Chinese Individuals: An NODDI and DTI Study.Brain and behavior · 2025Article
- The Interplay Between Psychological and Neurobiological Predictors of Weight Regain: A Narrative Review.Nutrients · 2025Review
- Altered gray matter structural covariance networks in young adults with obesity.International journal of obesity (2005) · 2025Article
- Multimodal Neuroimaging of Obesity: From Structural-Functional Mechanisms to Precision Interventions.Brain sciences · 2025Review
- The BMIgap tool to quantify transdiagnostic brain signatures of current and future weight.Nature. Mental health · 2025Article
- The impact of body mass index changes on traumatic brain injury patients' outcomes during hospitalization.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2024Article
- The gut-brain axis in appetite, satiety, food intake, and eating behavior: Insights from animal models and human studies.Pharmacology research & perspectives · 2024Review
- Article
- Functional comorbidities and brain tissue changes before and after lung transplant in adults.Frontiers in cellular neuroscience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Obesity is a multi-systemic disease with complex etiology. And consistent evidence indicated obesity or overweight subjects render brain structure changes. Increasing evidence indicates these subjects have shown widespread structural brain gray matter volume (GMV) changes. However, results from other neuroimaging studies have been inconsistent. Consequently, the question remains whether body mass index (BMI), a gold standard to define obesity/overweight, is associated with brain structural changes. Methods: This study will apply an updated meta-analysis of voxel-based GMV studies to compare GMV changes in overweight and obese subjects. Online databases were used to build on relevant studies published before May 2022. The updated Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) explores GMV changes in individuals with overweight and obesity and further examines the correlation between GMV and obesity-related variables, specifically body mass index (BMI). Results: This research included fourteen studies and provided a whole-brain analysis of GMV distribution in overweight and obese individuals. It revealed lower GMV in brain regions, including the left putamen and right precentral gyrus, in individuals with overweight and obesity compared to lean controls. Further, meta-regression analyses revealed GMV in the left middle occipital gyrus was negatively correlated with the BMI of the whole sample. Conclusion: GMV decreased was reported in reward circuit processing areas and sensorimotor processing areas of individuals with overweight and obesity diagnoses, suggesting an underlying structural basis for reward processing and sensorimotor processing dysregulation in overweight and obese subjects. Our results also suggest that GMV in occipital gyrus, a key region for food visual and gustatory encoding, is negatively associated with BMI. These results provide further evidence for the dysregulated reward circuit in individuals with overweight and obesity.
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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.