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

机译:寿命跨越功能性脑网络的空间和时间特征的演变

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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:发展和衰老与寿命中大脑的功能变化有关。这些变化在休息状态功能MRI(RS-FMRI)的各种空间和时间特征中,但很少被彻底探讨。我们提出了一项综合研究,评估了在横截面寿命寿命样本(6-85岁年龄段)中由独立载体分析(IVA)鉴定的盲源分离组分的盲源分离组分的空间和时间特征的综合研究。我们认为,虽然在整个寿命的大规模网络配置保持一致,但在这些网络的本地和全局组织中,更改仍然存在。我们表明,大多数功能网络的空间程度表现出线性降低以及寿命周围的正极和负二次轨迹。网络连接揭示了与年龄的线性和二次关系的细节模式,主要是在高阶认知网络中。我们还在较低频率的频谱上显示出不同的年龄相关模式。总之,这些结果指出了以前未被共同考虑的与年龄相关变化的复杂模式的存在。我们建议,RS-FMRI特征的成立模式可以通过粗体信号的光谱组成的变化来驱动RS-FMRI特征的变化。

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