Significance: Functional near-infrared spectroscopy (fNIRS) is an increasingly popular tool in auditory research, but the range of analysis procedures employed across studies may complicate the interpretation of data. Aim: We aim to assess the impact of different analysis procedures on the morphology, detection, and lateralization of auditory responses in fNIRS. Specifically, we determine whether averaging or generalized linear model (GLM)-based analysis generates different experimental conclusions when applied to a block-protocol design. The impact of parameter selection of GLMs on detecting auditory-evoked responses was also quantified. Approach: 17 listeners were exposed to three commonly employed auditory stimuli: noise, speech, and silence. A block design, comprising sounds of 5 s duration and 10 to 20 s silent intervals, was employed. Results: Both analysis procedures generated similar response morphologies and amplitude estimates, and both indicated that responses to speech were significantly greater than to noise or silence. Neither approach indicated a significant effect of brain hemisphere on responses to speech. Methods to correct for systemic hemodynamic responses using short channels improved detection at the individual level. Conclusions: Consistent with theoretical considerations, simulations, and other experimental domains, GLM and averaging analyses generate the same group-level experimental conclusions. We release this dataset publicly for use in future development and optimization of algorithms.

中文翻译：

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测量由模块设计范例产生的被动听觉fNIRS响应的分析方法

启示：功能性近红外光谱法（fNIRS）是听觉研究中越来越流行的工具，但是跨研究使用的分析程序范围可能会使数据的解释复杂化。目的：我们旨在评估不同分析程序对fNIRS中听觉反应的形态，检测和偏侧化的影响。具体来说，当确定将其应用于块协议设计时，我们确定基于平均模型还是基于广义线性模型（GLM）的分析是否会产生不同的实验结论。还对GLM参数选择对检测听觉诱发反应的影响进行了量化。方法：17位听众受到三种常用的听觉刺激：噪音，言语和沉默。采用了包含5 s持续时间和10到20 s静默间隔的声音的块设计。结果：两种分析程序均产生相似的响应形态和幅度估计，并且都表明对语音的响应明显大于对噪声或静音的响应。两种方法均未表明大脑半球对言语反应有显着影响。使用短通道校正全身血液动力学反应的方法可改善个人水平的检测。结论：与理论考虑，模拟和其他实验领域一致，GLM和平均分析得出相同的组级实验结论。我们公开发布此数据集，以供将来算法开发和优化时使用。两者都表明对语音的反应明显大于对噪音或沉默的反应。两种方法均未表明大脑半球对言语反应有显着影响。使用短通道校正全身血液动力学反应的方法可改善个人水平的检测。结论：与理论考虑，模拟和其他实验领域一致，GLM和平均分析得出相同的组级实验结论。我们公开发布此数据集，以供将来算法开发和优化时使用。两者都表明对语音的反应明显大于对噪音或沉默的反应。两种方法都没有表明大脑半球对言语反应有显着影响。使用短通道校正全身血液动力学反应的方法可改善个人水平的检测。结论：与理论考虑，模拟和其他实验领域一致，GLM和平均分析得出相同的组级实验结论。我们公开发布此数据集，以供将来算法开发和优化时使用。与理论考虑，模拟和其他实验领域一致，GLM和平均分析得出相同的组级实验结论。我们公开发布此数据集，以供将来算法开发和优化时使用。与理论考虑，模拟和其他实验领域一致，GLM和平均分析得出相同的组级实验结论。我们公开发布此数据集，以供将来算法开发和优化时使用。