Toward a proper estimation of phase-amplitude coupling in neural oscillations.
Toward a proper estimation of phase-amplitude coupling in neural oscillations.
复制标题
DOI：
10.1016/j.jneumeth.2014.01.002
复制
发表时间：
2014-03-30
影响因子：
3
通讯作者：
Fenton, Andre A.
中科院分区：
文献类型：
--
作者：
Dvorak, Dino;Fenton, Andre A.
不同神经振荡之间的相位振幅耦合（PAC）对大脑功能至关重要，包括跨尺度组织，注意力选择，通过神经回路路由信息流，记忆处理和信息编码。已经提出了几种PAC估计方法，但PAC估计的局限性以及准确的PAC估计数据的假设尚不清楚。我们定义了边界条件的标准PAC算法，并提出了“振荡触发耦合”（OTC），无参数，数据驱动的无偏估计PAC的算法。OTC建立了一个统一的框架，将单个振荡视为离散事件，用于从一组振荡中估计PAC，并从短至单个调制振荡的时间窗口中表征事件。为了准确的PAC估计，标准的PAC算法需要具有至少两倍于调制频率的带宽的幅度滤波器。相位滤波器必须是中等窄带的，特别是当调制节律是非正弦的时。最低适当分析窗口为~10秒。然后，我们证明，OTC可以通过将神经振荡视为离散事件而不是连续的相位和幅度时间序列来表征PAC。这些研究结果表明，除了提供相同的信息PAC的标准方法，OTC有利于表征单一振荡及其序列，除了解释的作用，个别振荡产生PAC模式。OTC允许在个体振荡水平上进行PAC分析，因此能够在认知现象的时间尺度上对PAC进行调查。
The phase-amplitude coupling (PAC) between distinct neural oscillations is critical to brain functions that include cross-scale organization, selection of attention, routing the flow of information through neural circuits, memory processing and information coding. Several methods for PAC estimation have been proposed but the limitations of PAC estimation as well as the assumptions about the data for accurate PAC estimation are unclear. We define boundary conditions for standard PAC algorithms and propose “oscillation-triggered coupling” (OTC), a parameter-free, data-driven algorithm for unbiased estimation of PAC. OTC establishes a unified framework that treats individual oscillations as discrete events for estimating PAC from a set of oscillations and for characterizing events from time windows as short as a single modulating oscillation. For accurate PAC estimation, standard PAC algorithms require amplitude filters with a bandwidth at least twice the modulatory frequency. The phase filters must be moderately narrow-band, especially when the modulatory rhythm is non-sinusoidal. The minimally appropriate analysis window is ~10 seconds. We then demonstrate that OTC can characterize PAC by treating neural oscillations as discrete events rather than continuous phase and amplitude time series. These findings show that in addition to providing the same information about PAC as the standard approach, OTC facilitates characterization of single oscillations and their sequences, in addition to explaining the role of individual oscillations in generating PAC patterns. OTC allows PAC analysis at the level of individual oscillations and therefore enables investigation of PAC at the time scales of cognitive phenomena.
登录
查看更多内容
影响因子：
16.2
作者：
Kajikawa Y;Schroeder CE
通讯作者：
Schroeder CE
DOI：
10.1523/jneurosci.2862-08.2008
发表时间：
2008-10-29
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Fenton AA;Kao HY;Neymotin SA;Olypher A;Vayntrub Y;Lytton WW;Ludvig N
通讯作者：
Ludvig N
影响因子：
2.6
作者：
Le Van Quyen, Michel
通讯作者：
Le Van Quyen, Michel
影响因子：
3
作者：
Cohen, Michael X.
通讯作者：
Cohen, Michael X.
DOI：
10.1523/jneurosci.4122-11.2012
发表时间：
2012-01-11
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Belluscio MA;Mizuseki K;Schmidt R;Kempter R;Buzsáki G
通讯作者：
Buzsáki G