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首页> 外文期刊>Cerebral cortex >Early Development of Spatial Patterns of Power-Law Frequency Scaling In fMRI Resting. State and EEG Data in the Newborn Brain
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Early Development of Spatial Patterns of Power-Law Frequency Scaling In fMRI Resting. State and EEG Data in the Newborn Brain

机译：FMRI休息中幂律尺度空间模式的早期发展。 新生大脑中的状态和脑电图数据

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摘要

Recent studies have revealed spatial and functional relations in the temporal dynamics of resting-state functional magnetic resonance imaging (rs-fMRI) or electroencephalography (EEG) signals recorded in the adult brain. By modeling the frequency power spectrum of resting-state brain signals with a power-law function 0(f) , the power-law exponent alpha has been shown to relate to the connectivity patterns of spontaneous brain activity that forms so-called rs-fMRE networks in the human adult brain. Here, we present an analysis of the dynamic properties of rs-fMRI and EEG signals acquired both in the newborn and adult brain, and we demonstrate frequency scaling of a power-law kind for orders of magnitude in the hemodynamic (0.01-0.15 Hz) and the electrical (0.2-30 Hz) domain. We show that the spatial segregation of resting-state dynamics of intrinsic fMRI signals in terms of the power-law exponent alpha is closely related to previously delineated resting-state neuronal architecture that encompasses primary sensory cortices and associate cortex in newborns. Moreover, the spatial profiles of differences in temporal dynamics for rs-fMRI signals could also be observed in EEG measurements in the newborn brain, albeit at a coarser spatial scale, with larger power-law exponents in occipital and parietal cortices compared with signals from the frontal brain.
机译：最近的研究揭示了在成年脑中记录的休息状态功能磁共振成像（RS-FMRI）或脑电图（EEG）信号的时间动态中的空间和功能关系。通过用电力法函数0（f）来建模静态大脑信号的频率功率谱，所示的幂律指数α已被证明涉及形成所谓的RS-FMRE的自发性脑活动的连通性模式网络在人类成年大脑中。在这里，我们展示了在新生儿和成年大脑中获得的RS-FMRI和EEG信号的动态特性的分析，我们展示了血流动力学中数量级（0.01-0.15Hz）的幂律的频率缩放和电气（0.2-30 Hz）域。我们表明，在幂律指数α方面，内在FMRI信号的休息状态动态的空间分离与先前描绘的休息状态的神经元架构密切相关，其包括初级感觉皮质和新生儿的联合皮质。此外，在新生大脑的EEG测量中也可以观察到RS-FMRI信号的时间动态差异的空间分布，尽管较粗糙的空间尺度，与来自的信号相比正面大脑。

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