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体重指数升高与感觉驱动和内部引导的静息态功能脑网络的整合增加和内聚减少有关。

Elevated Body Mass Index is Associated with Increased Integration and Reduced Cohesion of Sensory-Driven and Internally Guided Resting-State Functional Brain Networks.

机构信息

Department of Psychiatry, Icahn School of Medicine at Mount Sinai, USA.

Center for Neuroscience in Women's Health, Stanford University, Palo Alto, CA 91304, USA.

出版信息

Cereb Cortex. 2018 Mar 1;28(3):988-997. doi: 10.1093/cercor/bhx008.

Abstract

Elevated body mass index (BMI) is associated with increased multi-morbidity and mortality. The investigation of the relationship between BMI and brain organization has the potential to provide new insights relevant to clinical and policy strategies for weight control. Here, we quantified the association between increasing BMI and the functional organization of resting-state brain networks in a sample of 496 healthy individuals that were studied as part of the Human Connectome Project. We demonstrated that higher BMI was associated with changes in the functional connectivity of the default-mode network (DMN), central executive network (CEN), sensorimotor network (SMN), visual network (VN), and their constituent modules. In siblings discordant for obesity, we showed that person-specific factors contributing to obesity are linked to reduced cohesiveness of the sensory networks (SMN and VN). We conclude that higher BMI is associated with widespread alterations in brain networks that balance sensory-driven (SMN, VN) and internally guided (DMN, CEN) states which may augment sensory-driven behavior leading to overeating and subsequent weight gain. Our results provide a neurobiological context for understanding the association between BMI and brain functional organization while accounting for familial and person-specific influences.

摘要

体重指数(BMI)升高与多种疾病和死亡率增加有关。研究 BMI 与大脑组织之间的关系有可能为体重控制的临床和政策策略提供新的见解。在这里,我们在作为人类连接组计划一部分进行研究的 496 名健康个体样本中,定量研究了 BMI 增加与静息状态大脑网络功能组织之间的关系。我们证明,较高的 BMI 与默认模式网络 (DMN)、中央执行网络 (CEN)、感觉运动网络 (SMN)、视觉网络 (VN) 及其组成模块的功能连接变化有关。在肥胖不一致的兄弟姐妹中,我们表明导致肥胖的个体特定因素与感觉网络 (SMN 和 VN) 的内聚性降低有关。我们的结论是,较高的 BMI 与大脑网络的广泛改变有关,这些改变平衡了感官驱动(SMN、VN)和内部引导(DMN、CEN)状态,这可能会增强感官驱动的行为,导致暴饮暴食和随后的体重增加。我们的研究结果为理解 BMI 与大脑功能组织之间的关系提供了神经生物学背景,同时考虑了家族和个体因素的影响。

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