Department of Psychiatry, Columbia University, New York, NY 10032 United States.
Clin Neurophysiol. 2012 Aug;123(8):1502-11. doi: 10.1016/j.clinph.2011.11.264. Epub 2012 Feb 17.
To quantify spectral power in frequency specific bands and commonly observed types of bursting activities in the EEG during early human development.
An extensive archive of EEG data from human infants from 35 to 52 weeks postmenstrual age obtained in a prior multi-center study was analyzed using power spectrum analyses and a high frequency burst detection algorithm.
Low frequency power increased with age; however, high frequency power decreased from 35 to 45 weeks. This unexpected decrease was largely attributable to a rapid decline in the number of high frequency bursts.
The decline in high frequency bursting activity overlaps with a developmental shift in GABA's actions on neurons from depolarizing to hyperpolarizing and the dissolution of the gap junction circuitry of the cortical subplate.
We postulate that quantitative characterization of features of the EEG unique to early development provide indices for tracking changes in specific neurophysiologic mechanisms that are critical for normal development of brain function.
量化人类发育早期脑电图中特定频带的光谱功率和常见爆发活动类型。
使用功率谱分析和高频爆发检测算法,对先前多中心研究中获得的 35 至 52 周龄人类婴儿的广泛脑电图数据档案进行分析。
低频功率随年龄增长而增加;然而,高频功率从 35 周到 45 周下降。这种意外的下降主要归因于高频爆发的数量迅速减少。
高频爆发活动的减少与 GABA 对神经元作用从去极化到超极化的发育转变以及皮质基板间隙连接电路的溶解相重叠。
我们推测,对独特的早期发育脑电图特征的定量描述提供了跟踪特定神经生理机制变化的指标,这些机制对大脑功能的正常发育至关重要。