Power and phase properties of oscillatory neural responses in the presence of background activity.

Power and phase properties of oscillatory neural responses in the presence of background activity.
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DOI:
10.1007/s10827-012-0424-6
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发表时间:
2013-04
影响因子:
1.2
通讯作者:
Simon, Jonathan Z.
Simon, Jonathan Z.
中科院分区:
医学4区
文献类型:
--
作者:
Ding, Nai;Simon, Jonathan Z.

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自然的感官输入,如语言和音乐,通常是有节奏的。最近的研究一致表明,这些有节奏的刺激导致振荡阶段,即有节奏的神经活动,记录为局部场电位(LFP),脑电图(EEG)或脑磁图(MEG),与刺激同步。这种相位同步,当不伴有任何响应功率的增加时,被假设为通过LFP、EEG或MEG测量的持续的、自发的神经振荡的相位重置的结果。然而,在这篇文章中,我们认为这种现象可以很容易地解释,而不需要任何相位重置,并且刺激同步活动的产生独立于背景神经振荡。用一个简单的(但一般的)随机模型证明,纯粹由于统计特性,相位同步,如“试验间相位相干性”测量,对刺激同步的神经活动比功率敏感得多。这些结果质疑了将刺激同步活动的强度和阶段作为单独和补充措施进行分析的有效性;特别是在试图证明刺激锁相的神经活动是否由正在进行的神经振荡的相位重置产生的情况下。
Natural sensory inputs, such as speech and music, are often rhythmic. Recent studies have consistently demonstrated that these rhythmic stimuli cause the phase of oscillatory, i.e. rhythmic, neural activity, recorded as local field potential (LFP), electroencephalography (EEG) or magnetoencephalography (MEG), to synchronize with the stimulus. This phase synchronization, when not accompanied by any increase of response power, has been hypothesized to be the result of phase resetting of ongoing, spontaneous, neural oscillations measurable by LFP, EEG, or MEG. In this article, however, we argue that this same phenomenon can be easily explained without any phase resetting, and where the stimulus-synchronized activity is generated independently of background neural oscillations. It is demonstrated with a simple (but general) stochastic model that, purely due to statistical properties, phase synchronization, as measured by ‘inter-trial phase coherence’, is much more sensitive to stimulus-synchronized neural activity than is power. These results question the usefulness of analyzing the power and phase of stimulus-synchronized activity as separate and complementary measures; particularly in the case of attempting to demonstrate whether stimulus-phase-locked neural activity is generated by phase resetting of ongoing neural oscillations.
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