Visceral and Subcutaneous Abdominal Fat Predict Brain Volume Loss at Midlife in 10,001 Individuals

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 a...

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Veröffentlicht in:Aging and disease 2024-08, Vol.15 (4), p.1831-1842
Hauptverfasser: Raji, Cyrus A, Meysami, Somayeh, Hashemi, Sam, Garg, Saurabh, Akbari, Nasrin, Gouda, Ahmed, Chodakiewitz, Yosef Gavriel, Nguyen, Thanh Duc, Niotis, Kellyann, Merrill, David A, Attariwala, Rajpaul
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Sprache:eng
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Zusammenfassung: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
ISSN:2152-5250
2152-5250
DOI:10.14336/AD.2023.0820