Raji · Human brain mapping 2010 · cross-sectional neuroimaging study · n=94

Brain structure and obesity.

Cited 705 times in the scientific literature.

Level 4 - case-series / case-control

Cross-sectional structural neuroimaging analysis within an observational cohort

PubMed 19662657 · doi:10.1002/hbm.20870 · record verified 2026-08-29

What was done

Tensor-based morphometry was used to assess gray matter and white matter volume differences in 94 elderly subjects who remained cognitively normal for at least 5 years following baseline scanning. The authors performed bivariate analyses, false-discovery-rate-corrected multiple regression, and ANCOVA models adjusting for age, gender, and race to test associations of body mass index, fasting plasma insulin, and Type II diabetes mellitus with regional brain atrophy across BMI categories.

What was found

Bivariate analyses linked BMI, fasting plasma insulin, and diabetes with atrophy in frontal, temporal, and subcortical regions. In multiple regression models, BMI remained negatively correlated with brain volume (FDR < 5%), while diabetes and fasting insulin were no longer significantly associated with volume differences. On ANCOVA, obese subjects (BMI > 30) showed atrophy in the frontal lobes, anterior cingulate gyrus, hippocampus, and thalamus compared with normal-BMI subjects (18.5-25), while overweight subjects (BMI 25-30) showed atrophy in the basal ganglia and corona radiata. Overall brain volume did not differ between overweight and obese groups. Exact numerical effect sizes and volume values were not reported in the abstract.

Why it matters

This study shows that excess body weight is linked to detectable regional brain atrophy in older adults even in the absence of cognitive impairment.

Limits

The study is limited by a modest sample size of 94 elderly participants and a cross-sectional imaging design that cannot establish causality or rate of loss over time. The abstract reports significance thresholds but no absolute effect sizes, volumetric numbers, or confidence intervals.

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