Effect of number and placement of EEG electrodes on measurement of neural tracking of speech.
Effect of number and placement of EEG electrodes on measurement of neural tracking of speech.
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DOI：
10.1371/journal.pone.0246769
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发表时间：
2021
期刊：
影响因子：
3.7
通讯作者：
Francart T
中科院分区：
文献类型：
--
作者：
Montoya-Martínez J;Vanthornhout J;Bertrand A;Francart T
从脑电图（EEG）中测量自然运行语音的神经跟踪是听觉神经科学中日益流行的方法，并在听力学中有应用。该方法涉及从EEG信号解码语音信号的包络，并计算与呈现给受试者的音频流的包络的相关性。通常使用具有64个或更多个电极的EEG系统。然而，在实际应用中，需要具有较少电极的设置。在这里，我们确定电极的最佳数量，以及在头皮上放置有限数量电极的最佳位置。我们提出了一种基于效用度量的通道选择策略，该策略允许快速定量评估通道（或一组通道）对重建误差的影响。我们考虑两个用例：受试者特定的情况和受试者无关的情况，在受试者特定的情况下，针对每个受试者单独确定电极的最佳数量和位置，在受试者无关的情况下，针对所有受试者将电极放置在相同的位置（在10-20系统中）。我们使用来自90名受试者的64通道EEG数据评估了我们的方法。在特定于受试者的情况下，我们发现实际包络和重建包络之间的相关性首先随着电极数量的减少而增加，最佳电极数量约为20个，与所有电极相比，使用最佳电极数量的相关性高出29%。这意味着我们的策略删除电极可以用来提高相关性度量在高密度EEG记录。在主体无关的情况下，我们得到了稳定的解码性能时，从64减少到22通道。当通道数进一步减少时，相关性降低。对于10%的最大相关性降低，91%的受试者中有32个放置良好的电极就足够了。
Measurement of neural tracking of natural running speech from the electroencephalogram (EEG) is an increasingly popular method in auditory neuroscience and has applications in audiology. The method involves decoding the envelope of the speech signal from the EEG signal, and calculating the correlation with the envelope of the audio stream that was presented to the subject. Typically EEG systems with 64 or more electrodes are used. However, in practical applications, set-ups with fewer electrodes are required. Here, we determine the optimal number of electrodes, and the best position to place a limited number of electrodes on the scalp. We propose a channel selection strategy based on an utility metric, which allows a quick quantitative assessment of the influence of a channel (or a group of channels) on the reconstruction error. We consider two use cases: a subject-specific case, where the optimal number and position of the electrodes is determined for each subject individually, and a subject-independent case, where the electrodes are placed at the same positions (in the 10-20 system) for all the subjects. We evaluated our approach using 64-channel EEG data from 90 subjects. In the subject-specific case we found that the correlation between actual and reconstructed envelope first increased with decreasing number of electrodes, with an optimum at around 20 electrodes, yielding 29% higher correlations using the optimal number of electrodes compared to all electrodes. This means that our strategy of removing electrodes can be used to improve the correlation metric in high-density EEG recordings. In the subject-independent case, we obtained a stable decoding performance when decreasing from 64 to 22 channels. When the number of channels was further decreased, the correlation decreased. For a maximal decrease in correlation of 10%, 32 well-placed electrodes were sufficient in 91% of the subjects.
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