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A neural signature of metabolic syndrome

基于体素的形态计量学 脑岛 眶额皮质 体素 听力学 额中回 舌回 扁桃形结构 心理学 神经影像学 对比度(视觉) 认知 医学 神经科学 磁共振成像 前额叶皮质 白质 人工智能 放射科 计算机科学
作者
Eithan Kotkowski,Larry R. Price,Crystal Franklin,Maximino Salazar,Mary D. Woolsey,Ralph A. DeFronzo,John Blangero,David C. Glahn,Peter T. Fox
出处
期刊:Human Brain Mapping [Wiley]
被引量:16
标识
DOI:10.1002/hbm.24617
摘要

That metabolic syndrome (MetS) is associated with age-related cognitive decline is well established. The neurobiological changes underlying these cognitive deficits, however, are not well understood. The goal of this study was to determine whether MetS is associated with regional differences in gray-matter volume (GMV) using a cross-sectional, between-group contrast design in a large, ethnically homogenous sample. T1-weighted MRIs were sampled from the genetics of brain structure (GOBS) data archive for 208 Mexican-American participants: 104 participants met or exceeded standard criteria for MetS and 104 participants were age- and sex-matched metabolically healthy controls. Participants ranged in age from 18 to 74 years (37.3 ± 13.2 years, 56.7% female). Images were analyzed in a whole-brain, voxel-wise manner using voxel-based morphometry (VBM). Three contrast analyses were performed, a whole sample analysis of all 208 participants, and two post hoc half-sample analyses split by age along the median (35.5 years). Significant associations between MetS and decreased GMV were observed in multiple, spatially discrete brain regions including the posterior cerebellum, brainstem, orbitofrontal cortex, bilateral caudate nuclei, right parahippocampus, right amygdala, right insula, lingual gyrus, and right superior temporal gyrus. Age, as shown in the post hoc analyses, was demonstrated to be a significant covariate. A further functional interpretation of the structures exhibiting lower GMV in MetS reflected a significant involvement in reward perception, emotional valence, and reasoning. Additional studies are needed to characterize the influence of MetS's individual clinical components on brain structure and to explore the bidirectional association between GMV and MetS.
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