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Evolution of spatial and temporal features of functional brain networks across the lifespan

机译:整个生命周期中功能性大脑网络的时空特征演变

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摘要

Development and aging are associated with functional changes in the brain across the lifespan. These changes manifest in a variety of spatial and temporal features of resting state functional MRI (rs-fMRI) but have seldom been explored exhaustively. We present a comprehensive study assessing age-related changes in spatial and temporal features of blind-source separated components identified by independent vector analysis (IVA) in a cross-sectional lifespan sample (ages 6–85 years). We show that while large-scale network configurations remain consistent throughout the lifespan, changes persist in both local and global organization of these networks. We show that the spatial extent of the majority of functional networks exhibits linear decreases and both positive and negative quadratic trajectories across the lifespan. Network connectivity revealed nuanced patterns of linear and quadratic relationships with age, primarily in higher order cognitive networks. We also show divergent age-related patterns across the frequency spectrum in lower and higher frequencies. Taken together, these results point to the presence of sophisticated patterns of age-related changes that have previously not been considered collectively. We suggest that established patterns of lifespan changes in rs-fMRI features may be driven by changes in the spectral composition of BOLD signals.
机译:发育和衰老与整个生命周期中大脑的功能变化有关。这些变化表现为静止状态功能性MRI(rs-fMRI)的各种时空特征,但很少进行详尽的探讨。我们提供了一项综合研究,该研究评估了在横截面寿命样本(6-85岁)中通过独立矢量分析(IVA)识别的盲源分离组件的时空特征与年龄相关的变化。我们表明,尽管大型网络配置在整个生命周期中都保持一致,但是这些网络的本地和全球组织中的变化仍然存在。我们表明,大多数功能网络的空间范围都呈现线性下降,并且整个寿命周期内的正负二次轨迹都没有。网络连通性揭示了随着年龄增长线性和二次关系的细微差别,主要是在高阶认知网络中。我们还在较低和较高频率的整个频谱中显示了与年龄相关的不同模式。综上所述,这些结果表明存在与年龄相关的变化的复杂模式,而这些模式以前并未被集体考虑。我们建议rs-fMRI功能的寿命变化的既定模式可能是由BOLD信号的频谱组成变化驱动的。

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