Neurophysics Group, Department of Neurology, Campus Benjamin Franklin, Charité - University Medicine Berlin, D-12200 Berlin, Germany.
Clin Neurophysiol. 2010 Feb;121(2):186-93. doi: 10.1016/j.clinph.2009.09.028. Epub 2009 Nov 14.
The aim of the present study was to show analytically and with simulations that it is the non-zero mean of neuronal oscillations, and not an amplitude asymmetry of peaks and troughs, that is a prerequisite for the generation of evoked responses through a mechanism of amplitude modulation of oscillations. Secondly, we detail the rationale and implementation of the "baseline-shift index" (BSI) for deducing whether empirical oscillations have non-zero mean. Finally, we illustrate with empirical data why the "amplitude fluctuation asymmetry" (AFA) index should be used with caution in research aimed at explaining variability in evoked responses through a mechanism of amplitude modulation of ongoing oscillations.
An analytical approach, simulations and empirical MEG data were used to compare the specificity of BSI and AFA index to differentiate between a non-zero mean and a non-sinusoidal shape of neuronal oscillations.
Both the BSI and the AFA index were sensitive to the presence of non-zero mean in neuronal oscillations. The AFA index, however, was also sensitive to the shape of oscillations even when they had a zero mean.
Our findings indicate that it is the non-zero mean of neuronal oscillations, and not an amplitude asymmetry of peaks and troughs, that is a prerequisite for the generation of evoked responses through a mechanism of amplitude modulation of oscillations.
A clear distinction should be made between the shape and non-zero mean properties of neuronal oscillations. This is because only the latter contributes to evoked responses, whereas the former does not.
本研究旨在通过分析和模拟表明,产生诱发电位反应的前提是神经元振荡的非零均值,而不是峰谷振幅的不对称性,这是通过振荡幅度调制机制实现的。其次,我们详细阐述了“基线偏移指数(BSI)”的基本原理和实施方法,用于推断经验性振荡是否具有非零均值。最后,我们用经验数据来说明为什么在通过振荡幅度调制机制来解释诱发电位反应的变异性的研究中,应该谨慎使用“振幅波动不对称(AFA)”指数。
采用分析方法、模拟和经验 MEG 数据,比较 BSI 和 AFA 指数的特异性,以区分神经元振荡的非零均值和非正弦形状。
BSI 和 AFA 指数都对神经元振荡的非零均值存在敏感。然而,即使在振荡具有零均值的情况下,AFA 指数也对振荡的形状敏感。
我们的研究结果表明,产生诱发电位反应的前提是神经元振荡的非零均值,而不是峰谷振幅的不对称性,这是通过振荡幅度调制机制实现的。
应该清楚地区分神经元振荡的形状和非零均值特性。这是因为只有后者有助于诱发电位反应,而前者则没有。