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持续费力言语过程中的阿尔法振荡:从头皮脑电图到耳脑电图

Alpha Oscillations During Effortful Continuous Speech: From Scalp EEG to Ear-EEG.

作者信息

Ala Tirdad Seifi, Alickovic Emina, Cabrera Alvaro Fuentes, Whitmer William M, Hadley Lauren V, Rank Mike L, Lunner Thomas, Graversen Carina

出版信息

IEEE Trans Biomed Eng. 2023 Apr;70(4):1264-1273. doi: 10.1109/TBME.2022.3214428. Epub 2023 Mar 21.

Abstract

OBJECTIVE

The purpose of this study was to investigate alpha power as an objective measure of effortful listening in continuous speech with scalp and ear-EEG.

METHODS

Scalp and ear-EEG were recorded simultaneously during presentation of a 33-s news clip in the presence of 16-talker babble noise. Four different signal-to-noise ratios (SNRs) were used to manipulate task demand. The effects of changes in SNR were investigated on alpha event-related synchronization (ERS) and desynchronization (ERD). Alpha activity was extracted from scalp EEG using different referencing methods (common average and symmetrical bi-polar) in different regions of the brain (parietal and temporal) and ear-EEG.

RESULTS

Alpha ERS decreased with decreasing SNR (i.e., increasing task demand) in both scalp and ear-EEG. Alpha ERS was also positively correlated to behavioural performance which was based on the questions regarding the contents of the speech.

CONCLUSION

Alpha ERS/ERD is better suited to track performance of a continuous speech than listening effort.

SIGNIFICANCE

EEG alpha power in continuous speech may indicate of how well the speech was perceived and it can be measured with both scalp and Ear-EEG.

摘要

目的

本研究旨在通过头皮脑电图和耳部脑电图,将α波功率作为连续语音中努力倾听的客观测量指标进行研究。

方法

在播放一段33秒的新闻剪辑时,同时记录头皮脑电图和耳部脑电图,背景为16人交谈的嘈杂声。使用四种不同的信噪比(SNR)来操纵任务需求。研究了信噪比变化对α事件相关同步(ERS)和去同步(ERD)的影响。在大脑的不同区域(顶叶和颞叶)以及耳部脑电图中,使用不同的参考方法(共同平均法和对称双极法)从头皮脑电图中提取α活动。

结果

在头皮脑电图和耳部脑电图中,α ERS均随着信噪比的降低(即任务需求增加)而降低。α ERS也与基于语音内容问题的行为表现呈正相关。

结论

与倾听努力相比,α ERS/ERD更适合追踪连续语音的表现。

意义

连续语音中的脑电图α波功率可能表明对语音的感知程度,并且可以通过头皮脑电图和耳部脑电图进行测量。

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