Longitudinal changes in aperiodic and periodic activity in electrophysiological recordings in the first seven months of life.
Longitudinal changes in aperiodic and periodic activity in electrophysiological recordings in the first seven months of life.
复制标题
生命前7个月电生理记录中非周期性和周期性活动的纵向变化。
DOI：
10.1016/j.dcn.2020.100895
复制
发表时间：
2021-03
影响因子：
4.7
通讯作者：
Voytek B
中科院分区：
文献类型：
--
作者：
Schaworonkow N;Voytek B
神经元振荡出现在人类早期发育中。这些周期性的振荡被认为在婴儿期迅速变化，在成熟期稳定。鉴于它们与生理和认知过程的众多联系，了解振荡发展的轨迹对于了解健康的人类大脑发育非常重要。这种理解是复杂的，最近的证据表明，周期性神经元振荡的评估是由非周期性神经元活动，电生理记录的固有特征混淆。最近的横截面证据表明，这种非周期性信号从童年到成年早期逐渐转移，并从成年早期转移到以后的生活。然而，这些研究都没有在婴儿中进行，也没有纵向检查。在这里，我们分析了纵向非侵入性脑电图数据，从22个典型的发展婴儿，年龄在38至203天之间。我们表明，逐步平坦的EEG功率谱开始在非常早期的发展，持续通过生命的第一个月。这些结果突出了分离周期性和非周期性神经元信号的重要性，因为非周期性信号会使神经元振荡的测量产生偏差。鉴于婴儿的振荡不频繁，爆发性质，我们建议使用定量时域方法，隔离爆发和发现振荡爆发的波形特性的变化。我们评估振荡和非周期性活动的纵向婴儿脑电图记录。婴儿EEG活动主要是非周期性的。非周期指数在出生后的前半年有明显的下降。我们证实了婴儿振荡爆发的α频率的发展增加。
Neuronal oscillations emerge in early human development. These periodic oscillations are thought to rapidly change in infancy and stabilize during maturity. Given their numerous connections to physiological and cognitive processes, understanding the trajectory of oscillatory development is important for understanding healthy human brain development. This understanding is complicated by recent evidence that assessment of periodic neuronal oscillations is confounded by aperiodic neuronal activity, an inherent feature of electrophysiological recordings. Recent cross-sectional evidence shows that this aperiodic signal progressively shifts from childhood through early adulthood, and from early adulthood into later life. None of these studies, however, have been performed in infants, nor have they been examined longitudinally. Here, we analyzed longitudinal non-invasive EEG data from 22 typically developing infants, ranging between 38 and 203 days old. We show that the progressive flattening of the EEG power spectrum begins in very early development, continuing through the first months of life. These results highlight the importance of separating the periodic and aperiodic neuronal signals, because the aperiodic signal can bias measurement of neuronal oscillations. Given the infrequent, bursting nature of oscillations in infants, we recommend using quantitative time domain approaches that isolate bursts and uncover changes in waveform properties of oscillatory bursts. We assess oscillatory and aperiodic activity in longitudinal infant EEG recordings. Infant EEG activity is predominantly of aperiodic nature. The aperiodic exponent shows a strong decrease in the first half year of life. We confirm a developmental increase in alpha-frequency of infant oscillatory bursts.
登录
查看更多内容
影响因子：
13.9
作者：
Buzsáki G;Wang XJ
通讯作者：
Wang XJ
影响因子：
4.3
作者：
Gramfort A;Luessi M;Larson E;Engemann DA;Strohmeier D;Brodbeck C;Goj R;Jas M;Brooks T;Parkkonen L;Hämäläinen M
通讯作者：
Hämäläinen M
影响因子：
29
作者：
Holland D;Chang L;Ernst TM;Curran M;Buchthal SD;Alicata D;Skranes J;Johansen H;Hernandez A;Yamakawa R;Kuperman JM;Dale AM
通讯作者：
Dale AM
影响因子：
6.6
作者：
Cuevas, Kimberly;Cannon, Erin N.;Yoo, Kathryn;Fox, Nathan A.
通讯作者：
Fox, Nathan A.
影响因子：
--
作者：
Berger, H
通讯作者：
Berger, H