EEG Dataset for 'Immediate effects of short-term meditation on sensorimotor rhythm-based brain–computer interface performance'

This database includes the de-identified EEG data from 37 healthy individuals who participated in a brain-computer interface (BCI) study. All but one subject underwent 2 sessions of BCI experiments that involved controlling a computer cursor to move in one-dimensional space using their “intent”. EEG data were recorded with 62 electrodes. In addition to the EEG data, behavioral data including the online success rate and results of BCI cursor control are also included. This dataset was collected under support from the National Institutes of Health via grant AT009263 to Dr. Bin He. Correspondence about the dataset: Dr. Bin He, Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, PA 15213. E-mail: [e-mail] This dataset has been used and analyzed to study the immediate effect of short meditation on BCI performance. The results are reported in: Kim et al, “Immediate effects of short-term meditation on sensorimotor rhythm-based brain–computer interface performance,” Frontiers in Human Neuroscience, 2022 (https://doi.org/10.3389/fnhum.2022.1019279). Please cite this paper if you use any data included in this dataset.

本数据库包含37名健康受试者的去标识化脑电图（electroencephalogram, EEG）数据，这些受试者参与了一项脑机接口（brain-computer interface, BCI）研究。除1名受试者外，其余所有受试者均完成了2次BCI实验，实验内容为通过自身意念控制计算机光标在一维空间内移动。脑电图数据采用62导电极采集。除脑电图数据外，本数据集还涵盖行为学数据，包括在线成功率以及BCI光标控制相关结果。本数据集由美国国立卫生研究院（National Institutes of Health）通过AT009263号资助项目支持，由Bin He博士主导采集。关于本数据集的联络事宜：Bin He博士，卡内基梅隆大学生物医学工程系，宾夕法尼亚州匹兹堡市，邮编15213；电子邮箱：[e-mail]。本数据集曾被用于研究短时冥想对BCI表现的即时影响，相关研究成果发表于Kim等人2022年刊发于《人类神经科学前沿》（Frontiers in Human Neuroscience）的论文《短时冥想对基于感觉运动节律的脑机接口表现的即时影响》，DOI链接：https://doi.org/10.3389/fnhum.2022.1019279。若您使用本数据集包含的任意数据，请引用该论文。