Detection of active and silent states in neocortical neurons from the field potential signal during slow-wave sleep

Detection of active and silent states in neocortical neurons from the field potential signal during slow-wave sleep
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DOI:
10.1093/cercor/bhj157
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发表时间:
2007-02-01
期刊:
影响因子:
3.7
通讯作者:
Volgushev, Maxim
Volgushev, Maxim
中科院分区:
医学2区
文献类型:
--
作者:
Mukovski, Mikhail;Chauvette, Sylvain;Volgushev, Maxim

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频率低于1赫兹的局部场电位(LFP)或脑电(EEG)的振荡是慢波睡眠的标志。然而,潜在的细胞事件的时间,这是丘脑皮质网络活跃和沉默状态的交替,只能从慢波的相位近似地评估。有没有可能使用UP或EEG来检测细胞每一次活动或沉默的时间?通过同时记录2-3个新皮质细胞的UP和细胞内活动,我们发现当皮质细胞处于活跃状态时,与静止期相比,UP中的高伽马范围(20-100赫兹)分量具有显著更高的功率。利用这种差异,我们开发了一种新的方法,使用LFP信号来检测新皮质神经元的活动和沉默事件。该方法允许稳健、可靠和精确地检测新皮质网络的活动和静默的每一幕的时序。它同时适用于表层和深层脑电,记录过程中的脑电预滤波对其性能影响很小。这些结果为研究神经网络在活动和静默期的差异操作开辟了新的视角,活动和静默期在亚秒尺度上迅速交替。
Oscillations of the local field potentials (LFPs) or electroencephalogram (EEG) at frequencies below 1 Hz are a hallmark of the slow-wave sleep. However, the timing of the underlying cellular events, which is an alternation of active and silent states of thalamocortical network, can be assessed only approximately from the phase of slow waves. Is it possible to detect, using the UP or EEG, the timing of each episode of cellular activity or silence? With simultaneous recordings of the UP and intracellular activity of 2-3 neocortical cells, we show that high-gamma-range (20-100 Hz) components in the UP have significantly higher power when cortical cells are in active states as compared with silent-state periods. Exploiting this difference we have developed a new method, which uses the LFP signal to detect episodes of activity and silence of neocortical neurons. The method allows robust, reliable, and precise detection of timing of each episode of activity and silence of the neocortical network. It works with both surface and depth EEG, and its performance is affected little by the EEG prefiltering during recording. These results open new perspectives for studying differential operation of neural networks during periods of activity and silence, which rapidly alternate on the subsecond scale.