Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders : Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group.

Multivariate pattern recognition analyses Multivariate pattern classification analyses further confirmed the relationship between obesity and brain structure by yielding highly significant single-subject differentiation between obese (BMI > 30, n = 1223) and normal weight subjects (BMI 18.5–25, n = 2917) with a balanced accuracy rate of 68.7% (BAC = 0.687, StD = 0.019, p < 0.001; sensitivity = 0.695; specificity = 0.678; F1score = 0.565; ROC-AUC = 0.687).

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Yet, it is important to acknowledge that BMI was associated with lower cortical thickness in adolescent participants but might have failed to reach significance due to limited sample size in this analysis (see Supplementary Results for power analysis).

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