Cardiometabolic Risk and Structural Brain Development in a Large Community-Based US Cohort

IF 4 2区 医学 Q1 NEUROIMAGING
Dani Beck, Lars T. Westlye, Christian K. Tamnes
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Abstract

Cardiometabolic risk factors are already detectable in childhood and adolescence, but their relation to the developing brain remains unclear. The current study tested whether poorer cardiometabolic health is associated with brain structure and microstructure development in 10–17-year-old youth. Using the Adolescent Brain Cognitive Development Study, we analysed data from 3527 participants with 4433 observations across three waves (single wave: n = 2745; two waves: n = 658 participants; three waves: n = 124 participants). We related anthropometric (body-mass index, waist circumference), cardiovascular (systolic and diastolic blood pressure, resting heart rate) and metabolic (haemoglobin A1c, high-density lipoprotein cholesterol) indices to global cortical thickness and surface area, and to white matter fractional anisotropy and mean diffusivity. Bayesian multilevel models were fitted to estimate main and time-interaction effects, and sensitivity analyses tested within-person change, prospective prediction to the next wave, and replaced chronological age with puberty status. Higher resting heart rate was associated with higher mean diffusivity, an association that strengthened over time. Higher waist circumference was associated with larger surface area. Other cardiometabolic measures favoured the null, and sensitivity analyses provided little evidence that wave-to-wave changes in cardiometabolic health tracked contemporaneous brain change or predicted subsequent brain structure. Across late childhood and adolescence, brain architecture appears largely insensitive to short-term variation in cardiometabolic risk indices.

Abstract Image

美国一项大型社区队列的心脏代谢风险和大脑结构发育
心脏代谢的危险因素在儿童和青少年时期已经可以检测到,但它们与发育中的大脑的关系尚不清楚。目前的研究测试了10-17岁青少年较差的心脏代谢健康状况是否与大脑结构和微观结构发育有关。利用青少年大脑认知发展研究,我们分析了来自3527名参与者的数据,并通过三波(单波:n = 2745人;两波:n = 658人;三波:n = 124人)进行了4433次观察。我们将人体测量(体重指数、腰围)、心血管(收缩压和舒张压、静息心率)和代谢(血红蛋白A1c、高密度脂蛋白胆固醇)指标与皮质整体厚度和表面积、白质分数各向异性和平均扩散系数联系起来。拟合贝叶斯多水平模型来估计主要和时间相互作用效应,并进行敏感性分析,测试人内变化,对下一波的前瞻性预测,以及用青春期状态代替实足年龄。较高的静息心率与较高的平均扩散率相关,这种关联随着时间的推移而增强。腰围越大,表面积越大。其他心脏代谢指标倾向于零值,敏感性分析几乎没有证据表明,心脏代谢健康的波对波变化可以追踪同期大脑变化或预测随后的大脑结构。在童年晚期和青春期,大脑结构似乎对心脏代谢风险指数的短期变化不敏感。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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