A comparison of spectral magnitude and phase-locking value analyses of the frequency-following response to complex tones.
A comparison of spectral magnitude and phase-locking value analyses of the frequency-following response to complex tones.
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DOI：
10.1121/1.4807498
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发表时间：
2013-07
期刊：
影响因子：
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通讯作者：
Li Zhu;Hari M. Bharadwaj;Jing Xia;B. Shinn-Cunningham
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文献类型：
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作者：
Li Zhu;Hari M. Bharadwaj;Jing Xia;B. Shinn-Cunningham
我们进行了两个实验，两个实验都呈现了双音、谐音复合波(100赫兹基频)，以探索频率跟随反应(FFRENV)的包络相关成分，FFRENV是一种由周期性声输入诱发的同步皮质下神经活动的测量。实验一直接比较了两种常用的分析方法，即计算幅值谱和锁相值。Bootstrapping确定了每个指标的哪些FFRENV频率分量在统计上高于噪声下限，并量化了这些方法的统计能力。在不同的听众和条件下，这两种方法产生了高度相关的结果。然而，PLV分析需要较少的处理阶段来产生易于解释的结果。此外，在输入的基频，PLV比光谱幅度更远地高于度量的噪声底线。在确立了PLV分析的优势之后，通过调查不同的声频率对FFRENV的贡献，分析了对由100赫兹的不同声谐组成的复音的响应(实验2)，进一步证明了该方法的有效性。结果表明，FFRENV反应主要由对未分辨谐波作出反应的外围听觉通道主导，但由可分辨谐波驱动的低频通道也有贡献。这些结果证明了PLV在量化FFRENV在不同条件下的强度方面的有效性。
Two experiments, both presenting diotic, harmonic tone complexes (100 Hz fundamental), were conducted to explore the envelope-related component of the frequency-following response (FFRENV), a measure of synchronous, subcortical neural activity evoked by a periodic acoustic input. Experiment 1 directly compared two common analysis methods, computing the magnitude spectrum and the phase-locking value (PLV). Bootstrapping identified which FFRENV frequency components were statistically above the noise floor for each metric and quantified the statistical power of the approaches. Across listeners and conditions, the two methods produced highly correlated results. However, PLV analysis required fewer processing stages to produce readily interpretable results. Moreover, at the fundamental frequency of the input, PLVs were farther above the metric's noise floor than spectral magnitudes. Having established the advantages of PLV analysis, the efficacy of the approach was further demonstrated by investigating how different acoustic frequencies contribute to FFRENV, analyzing responses to complex tones composed of different acoustic harmonics of 100 Hz (Experiment 2). Results show that the FFRENV response is dominated by peripheral auditory channels responding to unresolved harmonics, although low-frequency channels driven by resolved harmonics also contribute. These results demonstrate the utility of the PLV for quantifying the strength of FFRENV across conditions.