Developmental Trajectory of Infant Brain Signal Variability: A Longitudinal Pilot Study.

Developmental Trajectory of Infant Brain Signal Variability: A Longitudinal Pilot Study.
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DOI:
10.3389/fnins.2018.00566
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发表时间:
2018
影响因子:
4.3
通讯作者:
Kikuchi M
Kikuchi M
中科院分区:
医学2区
文献类型:
--
作者:
Hasegawa C;Takahashi T;Yoshimura Y;Nobukawa S;Ikeda T;Saito DN;Kumazaki H;Minabe Y;Kikuchi M

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婴儿的大脑显示出快速的神经网络发育,这对以后的认知和行为能力产生了重大影响。据报道,这种神经发育过程可以通过估计神经信号复杂度来索引。然而,婴儿期大脑信号复杂性的精确发展轨迹仍然难以捉摸。本研究采用多尺度熵(MSE)技术,在多个时间尺度上捕获脑磁图(MEG)信号复杂度,以确定5名婴儿从2个月到3岁的脑磁图(MEG)信号复杂度轨迹。分析表明,规模依赖的发展轨迹。具体而言,信号复杂性主要增加,从5至15个月的年龄在较高的时间尺度,而在较低的时间尺度的复杂性是恒定的年龄,除了在一个婴儿谁表现出降低的复杂性。尽管样本量小,限制了这项研究的力量,这是第一份报告的纵向调查的变化,在婴儿早期的大脑信号的复杂性,是独特的,在其应用程序的MSE分析纵向MEG数据在婴儿期。这项初步研究的结果可能有助于我们进一步了解发育中的婴儿大脑的神经动力学的纵向变化。
The infant brain shows rapid neural network development that considerably influences cognitive and behavioral abilities in later life. Reportedly, this neural development process can be indexed by estimating neural signal complexity. However, the precise developmental trajectory of brain signal complexity during infancy remains elusive. This study was conducted to ascertain the trajectory of magnetoencephalography (MEG) signal complexity from 2 months to 3 years of age in five infants using multiscale entropy (MSE), which captures signal complexity at multiple temporal scales. Analyses revealed scale-dependent developmental trajectories. Specifically, signal complexity predominantly increased from 5 to 15 months of age at higher temporal scales, whereas the complexity at lower temporal scales was constant across age, except in one infant who showed decreased complexity. Despite a small sample size limiting this study’s power, this is the first report of a longitudinal investigation of changes in brain signal complexity during early infancy and is unique in its application of MSE analysis of longitudinal MEG data during infancy. The results of this pilot study may serve to further our understanding of the longitudinal changes in the neural dynamics of the developing infant brain.
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