Del Mauro Gianpaolo, Zeng Xinglin, Wang Ze
Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States.
bioRxiv. 2025 May 14:2025.05.08.652915. doi: 10.1101/2025.05.08.652915.
Brain entropy (BEN), a measure of the complexity and irregularity of neural has emerged as a promising marker for cognitive and clinical traits. However, normative lifespan trajectories of BEN remain underexplored. In this study, we investigated age-related changes in BEN across the human lifespan using Sample Entropy (SampEn). BEN was estimated from resting-state fMRI data collected from multiple Human Connectome Project cohorts (N = 2,415, ages 8-89 years), and normative growth curves were modeled using the GAMLSS framework. Results revealed a nonlinear increase in average BEN from childhood to older adulthood, with females exhibiting significantly higher BEN than males. Regional and network-level analyses confirmed similar age-related patterns.
脑熵（BEN）是一种衡量神经复杂性和不规则性的指标，已成为认知和临床特征的一个有前景的标志物。然而，BEN的正常寿命轨迹仍未得到充分探索。在本研究中，我们使用样本熵（SampEn）研究了人类整个生命周期中与年龄相关的BEN变化。BEN是根据从多个人类连接体计划队列（N = 2415，年龄8至89岁）收集的静息态功能磁共振成像数据估计的，并使用广义加性模型（GAMLSS）框架对正常生长曲线进行建模。结果显示，从童年到老年，平均BEN呈非线性增加，女性的BEN显著高于男性。区域和网络水平分析证实了类似的与年龄相关的模式。
