Mesh : Humans Female Male Middle Aged Intra-Abdominal Fat / diagnostic imaging anatomy & histology Adult Magnetic Resonance Imaging Brain / diagnostic imaging anatomy & histology pathology Aged Gray Matter / diagnostic imaging anatomy & histology Subcutaneous Fat, Abdominal / diagnostic imaging Organ Size White Matter / diagnostic imaging anatomy & histology

来  源:   DOI:10.14336/AD.2023.0820   PDF(Pubmed)

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.
摘要:
腹部脂肪与大脑健康的关系越来越密切。总共10,001名健康参与者在1.5TMRI上进行了扫描,并采用了简短的全身MR成像方案。使用FastSurfer分割96个大脑区域进行深度学习。分离模型分割内脏和皮下脂肪。评估腹部脂肪类型和标准化脑体积的回归分析,控制年龄和性别。Logistic回归模型从内脏脂肪的最高四分位数和这些脑体积的最低四分位数确定了脑总灰质和白质体积损失的风险。该队列的平均年龄为52.9±13.1岁,男性占52.8%,女性占47.2%。分割的内脏腹部脂肪预测多个区域的较低体积,包括:灰质总体积(r=-.44,p<.001),总白质体积(r=-.41,p<.001),海马(r=-.39,p<.001),额叶皮质(r=-.42,p<.001),颞叶(r=-.44,p<.001),顶叶(r=-.39,p<.001),枕叶(r=-.37,p<.001)。与内脏脂肪增加有关,女性的脑容量比男性低。内脏脂肪预测低灰质的风险增加(年龄20-39:OR=5.9;年龄40-59,OR=5.4;60-80,OR=5.1)和低白质体积:(年龄20-39:OR=3.78;年龄40-59,OR=4.4;60-80,OR=5.1)。较高的皮下脂肪与脑体积损失有关。内脏和皮下脂肪升高可预测较低的脑容量,并且可能代表确定脑健康的新的可改变因素。
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