ArticleAging and disease2024
Visceral and Subcutaneous Abdominal Fat Predict Brain Volume Loss at Midlife in 10,001 Individuals.
Article in Aging and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06268262 (Surgical-imaging Combined Research on Obesity), which is not on this map. Cited by 24 papers, 1 of them a synthesis 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.
Surgical-imaging Combined Research on Obesity
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sustained visceral fat loss is associated with attenuated brain atrophy and improved cognitive function in late midlife.Nature communications · 2026Pooled it
- Midlife Vascular and Lifestyle Determinants of Late-Life Cognitive Decline and Dementia: A Life-Course Prevention Framework with a Gulf (GCC) Perspective.Life (Basel, Switzerland) · 2026Review
- Unifying the hallmarks of major depression through neuroimmune-metabolic-oxidative (NIMETOX) dysregulation: a mechanistic systems framework.Cellular & molecular immunology · 2026Review
- Abdominal adiposity and Alzheimer's disease imaging markers across sex and race at midlife.Journal of Alzheimer's disease : JAD · 2026Article
- Association of Weight-Adjusted-Waist Index With Brain Health: A 16-Year Population-Based Longitudinal Cohort Study.CNS neuroscience & therapeutics · 2026Article
- Cross sectional analyses indicated that body fat distribution was not associated with performance-based and self-reported outcomes among ambulatory people with multiple sclerosis.Multiple sclerosis and related disorders · 2026Article
- Causal relationship between obesity, leptin, and brain structure and functional connectivity: evidence based on bidirectional and mediation mendelian randomisation analyses.Nutrition & metabolism · 2026Article
- Nonlinear association between serum insulin, visceral fat area, and kidney function in female with type 2 diabetes: a retrospective study.Frontiers in endocrinology · 2026Article
- Taming dimensionality in big neuroimaging data: Efficient orthonormal projective NMF via stochastic learning and data compression.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Triglyceride-glucose index and its combination with anthropometric obesity indicators are significant predictors of visceral obesity among the Newfoundland population.Scientific reports · 2025Article
- Central Obesity Disrupts Brain Network Organization in Aging via Metabolic and Structural Pathways.Aging and disease · 2025Article
- Automated Field of View Prescription for Whole-body Magnetic Resonance Imaging Using Deep Learning Based Body Region Segmentations.Investigative radiology · 2025Article
- Association between lipid accumulation product and cognitive impairment: a community-based 4-year prospective cohort study.Aging clinical and experimental research · 2025Article
- Cognitive Implications of White Matter Alterations in Overweight Chinese Individuals: An NODDI and DTI Study.Brain and behavior · 2025Article
- Body roundness index and mental health in middle-aged and elderly adults: a prospective cohort study.Scientific reports · 2025Article
- Associations of the body roundness index with cognitive function in US older adults and the mediating role of depression: a cross-sectional study from the NHANES 2011-2014.Scientific reports · 2025Article
- Association of triglyceride-glucose-related indices with adverse clinical outcomes in individuals with normal body mass index.Frontiers in cardiovascular medicine · 2025Article
- Relationships between abdominal adipose tissue and neuroinflammation with diffusion basis spectrum imaging in midlife obesity.Obesity (Silver Spring, Md.) · 2025Article
- Smoking predicts brain atrophy in 10,134 healthy individuals and is potentially influenced by body mass index.NPJ dementia · 2025Article
- The relationship between brain structure volumes, depressive symptoms and body composition in obese/overweight and normal-/underweight women.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Abdominal fat is increasingly linked to brain health. A total of 10,001 healthy participants were scanned on 1.5T MRI with a short whole-body MR imaging protocol. Deep learning with FastSurfer segmented 96 brain regions. Separate models segmented visceral and subcutaneous abdominal fat. Regression analyses of abdominal fat types and normalized brain volumes were evaluated, controlling for age and sex. Logistic regression models determined the risk of brain total gray and white matter volume loss from the highest quartile of visceral fat and lowest quartile of these brain volumes. This cohort had an average age of 52.9 ± 13.1 years with 52.8% men and 47.2% women. Segmented visceral abdominal fat predicted lower volumes in multiple regions including: total gray matter volume (r = -.44, p<.001), total white matter volume (r =-.41, p<.001), hippocampus (r = -.39, p< .001), frontal cortex (r = -.42, p<.001), temporal lobes (r = -.44, p<.001), parietal lobes (r = -.39, p<.001), occipital lobes (r =-.37, p<.001). Women showed lower brain volumes than men related to increased visceral fat. Visceral fat predicted increased risk for lower total gray matter (age 20-39: OR = 5.9; age 40-59, OR = 5.4; 60-80, OR = 5.1) and low white matter volume: (age 20-39: OR = 3.78; age 40-59, OR = 4.4; 60-80, OR = 5.1). Higher subcutaneous fat is related to brain volume loss. Elevated visceral and subcutaneous fat predicted lower brain volumes and may represent novel modifiable factors in determining brain health.
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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.