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A comparison of spectral magnitude and phase-locking value analyses of the frequency-following response to complex tones

机译:对复杂音调的频率跟随响应的频谱幅度和锁相值分析的比较

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摘要

Two experiments, both presenting diotic, harmonic tone complexes (100 Hz fundamental), were conducted to explore the envelope-related component of the frequency-following response (FFR_(ENV)), 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 FFR _(ENV) 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 FFR_(ENV), analyzing responses to complex tones composed of different acoustic harmonics of 100 Hz (Experiment 2). Results show that the FFR_(ENV) 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 FFR_(ENV) across conditions.
机译:进行了两个实验,均显示了奇异的谐波音复合体(基本为100 Hz),以探索频率跟随响应(FFR_(ENV))的包络相关分量,该分量是通过周期性诱发的同步皮层下神经活动的量度声音输入。实验1直接比较了两种常用的分析方法,即计算幅度谱和锁相值(PLV)。自举确定每个指标的FFR_(ENV)频率分量在统计上均高于本底噪声,并量化了方法的统计能力。在听众和环境中,这两种方法产生高度相关的结果。但是,PLV分析需要较少的处理阶段才能产生易于解释的结果。此外,在输入的基本频率处,PLV比频谱幅度远高于度量的本底噪声。在确立了PLV分析的优势之后,通过研究不同的声频对FFR_(ENV)的贡献,分析对100 Hz的不同声谐波组成的复杂音调的响应,进一步证明了该方法的有效性(实验2)。结果表明,FFR_(ENV)响应主要由对未解决的谐波作出响应的外围听觉通道构成,尽管由已解决的谐波驱动的低频通道也有贡献。这些结果证明了PLV在定量分析整个条件下FFR_(ENV)强度方面的实用性。

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