EEG Raw Data from Binaural Beat Stimulation

* Sample Description: Twenty five subjects (9 women and 21 men) aged between 19-24 years were stimulated with three different personalized binaural beats (BB): theta BB, alpha BB, and beta BB. The participants reported no musical experience, no neurological disease, and no hearing impariment. * EEG Recordings: EEG data were taken from 24 channels, with M1 and M2 as references and FCz as ground. Sample rate was 250 Hz. * Data Description: The EEG recordings were collected in four sessions: - Session 1: resting state -> 3 min with eyes closed and no task (25 .gdf files). - Session 2: BB stimulation -> 25 min with eyes closed, while listening to theta BB (25 .gdf files). - Session 3: BB stimulation -> 25 min with eyes closed, while listening to beta BB (25 .gdf files). - Session 4: BB stimulation -> 25 min with eyes closed, while listening to alpha BB (3 .gdf files). Session 1 and 2 were performed in the same day. Session 3 and 4 were carried out in different days, based on participant availability. For BB stimulation sessions, the EEG data from 0-20 min corresponds to neural activity when participants were just listening to personalized BB in order to induce brain entrainment. After that, an oddball paradigm was carried out where standard (240 pure tones of 1 kHz ) and deviant (60 pure tones of 2 kHz) auditory pitches were presented. * All sounds were supplied through open back headphones. * BB design: Personalized theta BB, beta BB, and alpha BB were designed according to Brain-Body Coupling Theorem from Klimesch [1,2] , who established that brainwaves and other body oscillations are coupled among them at rest. * Both personalized BB and pure tones were created with a sample rate of 44100 Hz. * .txt files for channels list are provided: - 24 channels list - 22 referenced-channels list References: [1] Klimesch, Wolfgang. 2013. "An algorithm for the EEG frequency architecture of consciousness and brain body coupling." Frontiers in Human Neuroscience 7 (766). [2] Klimesch, Wolfgang. 2018. "The frequency architecture of brain and brain body oscillations: an analysis." European Journal of Neuroscience 48 2431-2453.

* 样本描述：25名受试者（9名女性、21名男性），年龄介于19~24岁，接受三种不同的个性化双耳节拍（binaural beats, BB）刺激：θ波双耳节拍（theta BB）、α波双耳节拍（alpha BB）以及β波双耳节拍（beta BB）。所有参与者均无音乐学习经历，无神经系统疾病，亦无听力障碍。
* 脑电图记录：脑电图（electroencephalogram, EEG）数据采集自24个通道，以M1和M2作为参考电极，FCz作为接地电极，采样率为250 Hz。
* 数据说明：本次脑电图记录共分为四个实验阶段：
- 阶段1：静息态（resting state）——闭眼无任务静息3分钟，共25个.gdf格式文件。
- 阶段2：双耳节拍刺激——闭眼聆听θ波双耳节拍，持续25分钟，共25个.gdf格式文件。
- 阶段3：双耳节拍刺激——闭眼聆听β波双耳节拍，持续25分钟，共25个.gdf格式文件。
- 阶段4：双耳节拍刺激——闭眼聆听α波双耳节拍，持续25分钟，共3个.gdf格式文件。
阶段1与阶段2于同日完成；阶段3与阶段4则根据受试者的时间安排，在不同日期进行。
在双耳节拍刺激阶段中，0~20分钟的脑电图数据对应受试者仅聆听个性化双耳节拍以诱导脑夹带（brain entrainment）的神经活动；在此之后，将执行Oddball范式（Oddball paradigm），呈现标准刺激（240个1 kHz纯音）与偏差刺激（60个2 kHz纯音）两种听觉音调。
* 所有听觉刺激均通过开放式头戴耳机呈现。
* 双耳节拍设计：个性化θ、α、β波双耳节拍均依据Klimesch提出的脑-躯体耦合定理（Brain-Body Coupling Theorem）设计，该定理指出静息状态下脑电波与其他躯体节律存在相互耦合关系[1,2]。
* 所有个性化双耳节拍与纯音的采样率均为44100 Hz。
* 提供通道列表的.txt文件：
- 24通道列表
- 22个参考通道列表
参考文献：
[1] Klimesch, Wolfgang. 2013. "意识的脑电图频率架构与脑-躯体耦合算法"，《人类神经科学前沿》，7卷(766)。
[2] Klimesch, Wolfgang. 2018. "脑与脑-躯体振荡的频率架构：一项分析"，《欧洲神经科学杂志》，48卷，2431-2453页。

搜集汇总

背景与挑战

背景概述

该数据集包含25名健康年轻受试者在双耳节拍刺激下的原始EEG数据，采集自24个通道，采样率为250Hz。实验设计包括静息态和三种不同频率（theta、alpha、beta）的双耳节拍刺激session，每个session包含特定时长的刺激和听觉oddball范式任务，数据以.gdf格式提供，适用于脑电信号处理和神经科学研究。