Detection of synchronized oscillations in the electroencephalogram: An evaluation of methods
Detection of synchronized oscillations in the electroencephalogram: An evaluation of methods
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DOI：
10.1111/j.1469-8986.2004.00239.x
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发表时间：
2004-11-01
期刊：
影响因子：
3.7
通讯作者：
Cohen, JD
中科院分区：
文献类型：
--
作者：
Yeung, N;Bogacz, R;Cohen, JD
ERP研究中通常使用的信号平均方法假设ER-P波形中的峰值反映了与正在进行的EEG中的活动无关的神经活动。然而，这一假设受到了研究的挑战，研究表明ERP峰值反映了正在进行的EEG振荡的事件相关同步。在这项研究中，我们研究了一组方法的有效性，已被用来证明，特定的ERP峰值同步EEG振荡的结果。我们通过将相位峰叠加在由EEG的功率谱表征的噪声上来模拟EEG数据的时期。当应用于模拟数据时，所讨论的方法产生的结果先前被解释为同步振荡的证据，即使没有这样的同步存在。这些研究结果表明，拟议的分析方法可能无法有效地消除歧义ERP生成的竞争观点。
The signal averaging approach typically used in ERP research assumes that peaks in ER-P waveforms reflect neural activity that is uncorrelated with activity in the ongoing EEG. However, this assumption has been challenged by research suggesting that ERP peaks reflect event-related synchronization of ongoing EEG oscillations. In this study, we investigated the validity of a set of methods that have been used to demonstrate that particular ERP peaks result from synchronized EEG oscillations. We simulated epochs of EEG data by superimposing phasic peaks on noise characterized by the power spectrum of the EEG. When applied to the simulated data, the methods in question produced results that have previously been interpreted as evidence of synchronized oscillations, even though no such synchrony was present. These findings suggest that proposed analysis methods may not effectively disambiguate competing views of ERP generation.