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A tunable local field potentials computer simulator to assess minimal requirements for phase–amplitude cross-frequency-coupling estimation
Network: Computation in Neural Systems ( IF 1.1 ) Pub Date : 2016-08-11 , DOI: 10.1080/0954898x.2016.1213440
Maria Rubega 1 , Roberto Fontana 2 , Stefano Vassanelli 2 , Giovanni Sparacino 1
Affiliation  

ABSTRACT The quantitative study of cross-frequency coupling (CFC) is a relevant issue in neuroscience. In local field potentials (LFPs), measured either in the cortex or in the hippocampus, how γ-oscillation amplitude is modulated by changes in θ-rhythms-phase is thought to be important in memory formation. Several methods were proposed to quantify CFC, but reported evidence suggests that experimental parameters affect the results. Therefore, a simulation tool to support the determination of minimal requirements for CFC estimation in order to obtain reliable results is particularly useful. An approach to generate computer-simulated signals having CFC intensity, sweep duration, signal-to-noise ratio (SNR), and multiphasic-coupling tunable by the user has been developed. Its utility has been proved by a study evaluating minimal sweep duration and SNR required for reliable θ–γ CFC estimation from signals simulating LFP measured in the mouse hippocampus. A MATLAB® software was made available to facilitate methodology reproducibility. The analysis of the synthetic LFPs created by the simulator shows how the minimal sweep duration for achieving accurate θ–γ CFC estimates increases as SNR decreases and the number of CFC levels to discriminate increases. In particular, a sufficient reliability in discriminating five different predetermined CFC levels is reached with 35-s sweep with SNR = 20, while SNR = 5 requires at least 140-s sweep.

中文翻译:

一种可调谐的局部场电位计算机模拟器,用于评估相位-幅度交叉频率耦合估计的最低要求

摘要 交叉频率耦合 (CFC) 的定量研究是神经科学中的一个相关问题。在皮质或海马体中测量的局部场电位 (LFP) 中,γ 振荡幅度如何通过 θ 节律相位的变化进行调制被认为在记忆形成中很重要。提出了几种方法来量化 CFC,但报告的证据表明实验参数会影响结果。因此,支持确定 CFC 估算的最低要求以便获得可靠结果的模拟工具特别有用。已开发出一种生成具有 CFC 强度、扫描持续时间、信噪比 (SNR) 和多相耦合可调的计算机模拟信号的方法。它的效用已通过一项评估最小扫描持续时间和 SNR 的研究来证明,该研究从模拟在小鼠海马中测量的 LFP 的信号进行可靠的 θ–γ CFC 估计所需的 SNR。提供了 MATLAB® 软件以促进方法的重现性。对模拟器创建的合成 LFP 的分析显示,随着 SNR 的降低和要区分的 CFC 级别数量的增加,用于实现准确的 θ–γ CFC 估计的最小扫描持续时间如何增加。特别是,SNR = 20 的 35 秒扫描在区分五种不同的预定 CFC 水平方面具有足够的可靠性,而 SNR = 5 需要至少 140 秒的扫描。对模拟器创建的合成 LFP 的分析显示,随着 SNR 的降低和要区分的 CFC 级别数量的增加,用于实现准确的 θ–γ CFC 估计的最小扫描持续时间如何增加。特别是,SNR = 20 的 35 秒扫描在区分五种不同的预定 CFC 水平方面具有足够的可靠性,而 SNR = 5 需要至少 140 秒的扫描。对模拟器创建的合成 LFP 的分析显示,随着 SNR 的降低和要区分的 CFC 级别数量的增加,用于实现准确的 θ–γ CFC 估计的最小扫描持续时间如何增加。特别是,SNR = 20 的 35 秒扫描在区分五种不同的预定 CFC 水平方面具有足够的可靠性,而 SNR = 5 需要至少 140 秒的扫描。
更新日期:2016-08-11
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