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., Gupta, A., Verma, R., Achary, G. K., & Varkey, B. (2020). Functional Brain Connectivity Analysis in Intellectual Developmental Disorder During Music Perception. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(11), 2420-2430. DOI:10.1109/TNSRE.2020.3024937
(2) 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.
(3) 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）受试者与7名典型发育对照（Typically Developing Controls, TDC）受试者的脑电（Electroencephalogram, EEG）记录数据。数据采集于受试者处于静息状态及接收舒缓音乐刺激的实验过程中。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，该设备包含14个记录通道与2个参考通道，采样频率为128 Hz。数据采集于隔音房间内，实验前已向所有受试者告知实验流程与相关风险，并要求其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数据：(1) 原始脑电数据；(2) 针对两组受试者的预处理降噪脑电数据。本数据集可用于探究智力与发育障碍组的脑功能连接特性。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，如智商（IQ）、社交商（SQ）、音乐感知能力与面部表情（情绪）数据。

### 数据组织形式
数据按如下结构存放：
1. 原始数据：
Data/RawData/RawData_TDC/Music and Rest
Data/RawData/RawData_IDD/Music and Rest
2. 预处理降噪数据：
Data/CleanData/CleanData_TDC/Music and Rest
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降噪预处理后的脑电数据。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。

若您将本数据集及/或该全自动预处理流水线用于科研工作，请引用本数据集关联的三篇学术文献：
1. Sareen, E., Singh, L., Gupta, A., Verma, R., Achary, G. K., & Varkey, B. (2020). 音乐感知过程中智力发育障碍患者的脑功能连接分析. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(11), 2420-2430. DOI:10.1109/TNSRE.2020.3024937
2. Sareen, E., Singh, L., Varkey, B., Achary, K., Gupta, A. (2020). 静息与音乐刺激下智力与发育障碍个体及健康对照的脑电数据集. Data in Brief, 105488, ISSN 2352-3409, DOI:https://doi.org/10.1016/j.dib.2020.105488
3. Sareen, E., Gupta, A., Verma, R., Achary, G. K., Varkey, B. (2019). 神经发育障碍个体在音乐与静息状态下基于干电极脑电设备的脑功能网络研究. bioRxiv 759738 [预印本]. 可从https://www.biorxiv.org/content/10.1101/759738v1获取。

搜集汇总

背景与挑战

背景概述

该数据集包含7名智力及发育障碍（IDD）患者和7名典型发育对照（TDC）参与者在静息和音乐刺激下的EEG记录，数据以原始和预处理两种格式提供，并附带自动化处理管道，可用于分析IDD群体的功能脑连接，同时包含IDD参与者的行为学信息。