EEG dataset of individuals with intellectual and developmental disorder and healthy controls while observing rest and music stimuli

This data presents a collection of EEG recordings of seven participants with Intellectual and Developmental Disorder (IDD) and seven Typically Developing Controls (TDC). The data is recorded while the participants observe a resting state and a soothing music stimuli. The data was collected using a high-resolution multi-channel dry-electrode system from EMOTIV called EPOC+. This is a 14-channel device with two reference channels and a sampling frequency of 128 Hz. The data was collected in a noise-isolated room. The participants were informed of the experimental procedure, related risks and were asked to keep their eyes closed throughout the experiment. The data is provided in two formats, (1) Raw EEG data and (2) Pre-processed and clean EEG data for both the group of participants. This data can be used to explore the functional brain connectivity of the IDD group. In addition, behavioral information like IQ, SQ, music apprehension and facial expressions (emotion) for IDD participants is provided in file “QualitativeData.xlsx". Data Usage: The data is arranged as follows: 1. Raw Data: Data/RawData/RawData_TDC/Music and Rest Data/RawData/RawData_IDD/Music and Rest 2. Clean Data Data/CleanData/CleanData_TDC/Music and Rest Data/CleanData/CleanData_IDD/Music and Rest The dataset comes along with a fully automated EEG pre-processing pipeline. This pipeline can be used to do batch-processing of raw EEG files to obtain clean and pre-processed EEG files. Key features of this pipeline are : (1) Bandpass filtering (2) Linenoise removal (3) Channel selection (4) Independent Component Analysis (ICA) (5) Automatic artifact rejection All the required files are present in the Pipeline folder. If you use this dataset and/or the fully automated pre-processing pipeline for your research work, kindly cite these two articles linked to this dataset. (1) Sareen, E., Singh, L., Varkey, B., Achary, K., Gupta, A. (2020). EEG dataset of individuals with intellectual and developmental disorder and healthy controls under rest and music stimuli. Data in Brief, 105488, ISSN 2352-3409, DOI:https://doi.org/10.1016/j.dib.2020.105488. (2) Sareen, E., Gupta, A., Verma, R., Achary, G. K., Varkey, B (2019). Studying functional brain networks from dry electrode EEG set during music and resting states in neurodevelopment disorder, bioRxiv 759738 [Preprint]. Available from: https://www.biorxiv.org/content/10.1101/759738v1本数据集收录了7名智力与发育障碍（Intellectual and Developmental Disorder, IDD）患者与7名典型发育对照（Typically Developing Controls, TDC）受试者的脑电（Electroencephalogram, EEG）记录数据，采集场景为受试者处于静息状态与聆听舒缓音乐刺激的过程中。 本次数据采集采用EMOTIV公司出品的EPOC+高分辨率多通道干电极系统，该设备为14通道装置，配备2个参考通道，采样频率为128 Hz。 数据采集于隔音实验室中，受试者已被告知实验流程与相关风险，并被要求在整个实验过程中保持闭眼状态。 本数据集提供两种格式的文件：（1）原始脑电数据；（2）针对两组受试者的预处理后洁净脑电数据。 本数据集可用于探究智力与发育障碍组的大脑功能连接特性。此外，文件"QualitativeData.xlsx"中还包含了智力与发育障碍受试者的行为学信息，包括智商（Intelligence Quotient, IQ）、社交商（Social Quotient, SQ）、音乐感知能力与面部表情（情绪）数据。 数据组织方式如下： 1. 原始数据：Data/RawData/RawData_TDC/Music and Rest 与 Data/RawData/RawData_IDD/Music and Rest 2. 洁净预处理数据：Data/CleanData/CleanData_TDC/Music and Rest 与 Data/CleanData/CleanData_IDD/Music and Rest 本数据集附带一套全自动脑电预处理流水线，可用于批量处理原始脑电文件以生成洁净的预处理后脑电数据。该流水线的核心功能包括：（1）带通滤波；（2）工频干扰去除；（3）通道选择；（4）独立成分分析（Independent Component Analysis, ICA）；（5）自动伪迹剔除。所有所需文件均存放于Pipeline文件夹中。 若您在研究工作中使用本数据集及/或该全自动预处理流水线，请引用以下两篇与本数据集相关的学术文献： （1）Sareen, E., Singh, L., Varkey, B., Achary, K., Gupta, A. (2020). 智力与发育障碍个体及健康对照在静息状态与音乐刺激下的脑电数据集. 数据简报（Data in Brief）, 105488, ISSN 2352-3409, DOI:https://doi.org/10.1016/j.dib.2020.105488. （2）Sareen, E., Gupta, A., Verma, R., Achary, G. K., Varkey, B. (2019). 神经发育障碍群体在音乐与静息状态下基于干电极脑电设备的大脑功能网络研究, bioRxiv 759738 [预印本]. 可从以下链接获取：https://www.biorxiv.org/content/10.1101/759738v1