EEG Dataset for 'Decoding of selective attention to continuous speech from the human auditory brainstem response' and 'Neural Speech Tracking in the Theta and in the Delta Frequency Band Differentially Encode Clarity and Comprehension of Speech in Noise'.
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Update: a more accessible version of this dataset is now available: https://doi.org/10.5281/zenodo.7778289 The repository contains the unprocessed EEG data recorded for the publications [1, 2]. The stimuli are also included. 64-channel EEG was recorded from 18 participants whilst they listened to audiobooks narrated in a number of listening conditions: clean speech in their native language (English), clean speech in three levels of speech-shaped-noise, and two competing-speakers conditions (focusing on the males speaker whilst ignoring the female speaker, and vice-versa). Additionally, 12 of the participants listened to speech in a foreign language (Dutch, for which their comprehension scores were 0, as measured via behavioural experiments), in four listening conditions: noiseless conditions, and speech-in-babble-noise conditions at three different SNRs. For more information on the recording protocol and stimuli, please refer to the publications [1 ,2]. The EEG was acquired at 1 kHz via the actiCHamp amplifier (BrainProducts, Germany), and the electrodes were positioned according to the standard 10-20 system via to EasyCap electrode cap (BrainProducts, Germany). To align the stimuli with the EEG recordings, the audio was simultaneously recorded with the EEG (also at 1 kHz), using the StimTrack device (BrainProducts, Germany). The resulting sound channel was then cross correlated with the (resampled) audio data. The resulting stimulus-onset timestamps are stored as annotations in the VHDR files. The physical EEG reference was located at P04, and the ground was located on the right earlobe. The raw VHDR files containing the EEG data for each trial are located in the folder ‘eeg’. The stimulus files are located in the folder stim. For convenience, the raw data are also provided in a format similar to the CND data format [3]. The CND-format files can be found in dataCND. The EEG data for each trial have been extracted so that they align with the raw audio data in dataCND/trialStories.mat. We provide the time-aligned broadband envelopes at 1 kHz in the file dataCND/stim.mat. Please note some details on the raw speech-in-noise and Dutch stimuli: For the ENGLISH speech-in-noise conditions, the babble noise amplitude increased linearly from zero to the desired SPL for 0.5 seconds. The babble noise continued to play for an additional 0.5 seconds at this SPL, before the story began. After the story finished, the babble noise was again played for 0.5 seconds, and then linearly decreased to 0 amplitude for 0.5 seconds. Therefore, the babble noise track is two seconds longer than the story track. For the DUTCH speech-in-noise conditions, the dutch speech was played by itself for one second. Then, the babble noise was also played for one second, linearly increasing in amplitude until it reached the desired SPL. Therefore, the babble noise track is one second shorter than the Dutch story track. The relevant tracks in dataCND/stim.mat were padded with zeros so that they are aligned and their lengths are equal. In all of the Dutch conditions, a few English sentences were embedded in the Dutch narratives in order to help participants maintain their attention. Participants were asked behavioural questions related to the English sentences after each trial. These English sentence tracks are also time-aligned and provided in dataCND/stim.mat. If you use this data, please cite the original publications, as well as this repository [1,2, 4]. [1] Etard O, Kegler M, Braiman C, Forte A E and Reichenbach T. “Decoding of selective attention to continuous speech from the human auditory brainstem response” 2019. <em>NeuroImage</em> <strong>200</strong> 1–11 [2] Etard O and Reichenbach T. “Neural speech tracking in the theta and in the delta frequency band differentially encode clarity and comprehension of speech in noise” 2019. <em>J. Neurosci.</em> <strong>39</strong> 5750–9 [3] Giovanni DL and Nidiffer, A. "The Continuous-event Neural Data structure (CND) Specifications and guidelines". 2022 Jul. https://data.cnspworkshop.net/CND_Specifications.pdf [4] Etard O and Reichenbach T. "EEG Dataset for 'Decoding of selective attention to continuous speech from the human auditory brainstem response' and 'Neural Speech Tracking in the Theta and in the Delta Frequency Band Differentially Encode Clarity and Comprehension of Speech in Noise". Doi: 10.5281/zenodo.7086208
更新说明：本数据集的更易用版本现已发布：https://doi.org/10.5281/zenodo.7778289。本仓库包含文献[1,2]中使用的未预处理脑电（Electroencephalogram, EEG）数据，同时包含实验刺激材料。 研究共招募18名被试，采用64通道脑电采集设备记录其在多种听觉任务下收听有声书时的脑电信号：任务包括母语（英语）清晰语音、三种言语形噪声水平下的清晰语音，以及两种竞争语音任务（分别专注男性说话人并忽略女性说话人，反之亦然）。 此外，其中12名被试还收听了外语（荷兰语，通过行为实验测得其理解得分为0）的语音，共四种听觉条件：无噪声条件，以及三种不同信噪比（Signal-to-Noise Ratio, SNR）下的言语噪声混合条件。 关于实验范式与刺激材料的更多细节，请参见文献[1,2]。脑电信号以1 kHz的采样率通过actiCHamp放大器（BrainProducts公司，德国）采集，采用EasyCap电极帽（BrainProducts公司，德国）并按照标准10-20系统（10-20 System）布置电极。为实现刺激与脑电信号的对齐，实验同时使用StimTrack设备（BrainProducts公司，德国）同步采集音频信号（采样率同样为1 kHz）。后续将采集得到的音频通道与（重采样后的）音频数据进行互相关分析，得到的刺激起始时间戳以注释形式存储于VHDR文件中。 脑电信号的物理参考电极位于P04位点，接地电极置于右侧耳垂。包含各试次脑电数据的原始VHDR文件存储于‘eeg’文件夹中，刺激文件存储于‘stim’文件夹中。为便于使用，原始数据同时提供了近似于连续事件神经数据（Continuous-event Neural Data, CND）格式[3]的版本，该格式的文件可在dataCND文件夹中找到。 各试次的脑电数据已被提取，以与dataCND/trialStories.mat中的原始音频数据对齐。我们还在dataCND/stim.mat文件中提供了采样率1 kHz的时间对齐宽带包络信号。 关于带噪语音与荷兰语刺激的细节说明如下： 1. 英语带噪语音条件：babble噪声的幅值从0线性上升至目标声压级（Sound Pressure Level, SPL），耗时0.5秒；随后该噪声以目标声压级持续播放0.5秒，之后才开始播放故事音频。故事播放结束后，噪声仍持续播放0.5秒，再经0.5秒线性衰减至0幅值。因此，噪声轨迹比故事轨迹长2秒。 2. 荷兰语带噪语音条件：荷兰语语音先单独播放1秒，随后加入babble噪声并同步播放，噪声幅值线性上升至目标声压级，耗时1秒。因此，噪声轨迹比荷兰语故事轨迹短1秒。为实现对齐，dataCND/stim.mat中的相关轨迹已通过补零操作统一长度。 在所有荷兰语任务条件中，荷兰语叙事文本中嵌入了少量英语句子，以帮助被试维持注意力。每一试次结束后，被试需回答与这些英语句子相关的行为问题。这些英语句子的音频轨迹同样已完成时间对齐，并包含在dataCND/stim.mat中。 若您使用本数据集，请引用原始文献以及本仓库[1,2,4]。 [1] Etard O, Kegler M, Braiman C, Forte A E and Reichenbach T. "Decoding of selective attention to continuous speech from the human auditory brainstem response" 2019. *NeuroImage* **200** 1–11 [2] Etard O and Reichenbach T. "Neural speech tracking in the theta and in the delta frequency band differentially encode clarity and comprehension of speech in noise" 2019. *J. Neurosci.* **39** 5750–9 [3] Giovanni DL and Nidiffer, A. "The Continuous-event Neural Data structure (CND) Specifications and guidelines". 2022 Jul. https://data.cnspworkshop.net/CND_Specifications.pdf [4] Etard O and Reichenbach T. "EEG Dataset for 'Decoding of selective attention to continuous speech from the human auditory brainstem response' and 'Neural Speech Tracking in the Theta and in the Delta Frequency Band Differentially Encode Clarity and Comprehension of Speech in Noise'. Doi: 10.5281/zenodo.7086208
