Variations in body mass index (BMI) have been suggested to relate to atypical brain organization, yet connectome-level substrates of BMI and their neurobiological underpinnings remain unclear. Studying 325 healthy young adults, we examined association between functional connectome organization and BMI variations. We capitalized on connectome manifold learning techniques, which represent macroscale functional connectivity patterns along continuous hierarchical axes that dissociate low level and higher order brain systems. We observed an increased differentiation between unimodal and heteromodal association networks in individuals with higher BMI, indicative of an increasingly segregated modular architecture and a disruption in the hierarchical integration of different brain system. Transcriptomic decoding and subsequent gene enrichment analyses identified genes previously implicated in genome-wide associations to BMI and specific cortical, striatal, and cerebellar cell types. These findings provide novel insights for functional connectome substrates of BMI variations in healthy young adults and point to potential molecular associations.

中文翻译：

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体重变化与脑功能分级有关

有人指出，体重指数（BMI）的变化与非典型的大脑组织有关，但BMI的连接组水平底物及其神经生物学基础仍不清楚。研究了325名健康的年轻成年人，我们检查了功能连接体组织与BMI变异之间的关联。我们利用了connectome流形学习技术，该技术代表了连续的分层轴上的宏观功能连接模式，这些模式分离了低级和高级大脑系统。我们观察到BMI较高的个体中，单峰和异峰关联网络之间的差异增加，这表明模块化体系结构越来越隔离，不同大脑系统的层次集成受到破坏。转录组解码和随后的基因富集分析确定了先前与BMI和特定的皮质，纹状体和小脑细胞类型相关的全基因组关联的基因。这些发现为健康的年轻人中BMI变异的功能性连接体底物提供了新颖的见解，并指出了潜在的分子关联。