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Brain abnormalities in human obesity: A voxel-based morphometric study
Abstract
Obesity is accompanied by damage to several tissues. Overweight is a risk factor for Alzheimer's disease and other neurodegenerative disorders. Whether structural abnormalities associated with excess body fat may also occur in the brain is unknown. We sought to determine to what extent excess body fat is associated with regional alterations in brain structure using voxel-based morphometry (VBM), a whole-brain unbiased technique based upon high-definition 3D magnetic resonance imaging (MRI) scans normalized into a common standard space and allowing for an objective assessment of neuroanatomical differences throughout the brain. We studied 24 obese (11 male, 13 female; age: 32 +/- 8 years; body mass index [BMI]: 39.4 +/- 4.7 kg/m2) and 36 lean (25 male, 11 female; mean age: 33 +/- 9 years; BMI: 22.7 +/- 2.2 kg/m2) non-diabetic Caucasians. In comparison with the group of lean subjects, the group of obese individuals had significantly lower gray matter density in the post-central gyrus, frontal operculum, putamen, and middle frontal gyrus (P < 0.01 after adjustment for sex, age, handedness, global tissue density, and multiple comparisons). BMI was negatively associated with GM density of the left post-central gyrus in obese but not lean subjects. This study identified structural brain differences in human obesity in several brain areas previously involved in the regulation of taste, reward, and behavioral control. These alterations may either precede obesity, representing a neural marker of increased propensity to gaining weight, or occur as a consequence of obesity, indicating that also the brain is affected by increased adiposity.
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“Brain imaging studies comparing obese and lean individuals have also reported lower grey matter density in frontal regions (frontal operculum and middle frontal gyrus) and in post-central gyrus and putamen (128).”
From Obesity and addiction: Neurobiological overlaps (2013) · cites this paper as [128]
In the citing paper
“Brain imaging studies comparing obese and lean individuals have also reported lower gray matter density in frontal regions (frontal operculum and middle frontal gyrus) and in postcentral gyrus and putamen (Pannacciulli et al 2006).”
From Food and Drug Reward: Overlapping Circuits in Human Obesity and Addiction (2011) · cites this paper as Pannacciulli et al 2006
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Metadata
- Authors
- Pannacciulli, N., Del Parigi, A., Chen, K., Le, D. S. N. T., Reiman, E. M., & Tataranni, P. A.
- Affiliations
- National Institutes of Health (US)
- Banner - University Medical Center Phoenix (US)
- Corresponding author
- Pannacciulli, Nicola
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2006-07
- Volume
- 31
- Issue
- 4
- Pages
- 1419-1425
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2077965626
- Cited by
- 523
- References
- 45
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 23 · 2023: 22 · 2022: 22 · 2021: 28 · 2020: 23 · 2019: 34 · 2018: 34 · 2017: 36 · 2016: 41 · 2015: 37 · 2014: 41 · 2013: 31 · 2012: 27
- FWCI
- 5.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- obesity, brain structure, gray matter density, body mass index, postcentral gyrus, frontal operculum, putamen, middle frontal gyrus, adiposity
- MeSH terms
- Adult, Anthropometry, Blood Glucose, Brain, Brain Chemistry, Data Interpretation, Statistical, Female, Humans, Image Processing, Computer-Assisted, Insulin, Magnetic Resonance Imaging, Male, Obesity, Body Mass Index
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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