TDCS Modulation of Visual Cortex in Motor Imagery

TDCS Neuromodulated Motor Imagery TMS Dataset

Research/Experiment Description

[Your research description goes here]

BIDS Report

The TDCS Modulation of Visual Cortex in Motor Imagery dataset was created by
Anthony Mensah, Gleb Perevoznyuk, Artyom Batov, and Aleksandra S. Pleskovskaya
and conforms to BIDS version 1.7.0. This report was generated with MNE-BIDS
(https://doi.org/10.21105/joss.01896). The dataset consists of 5 participants
(comprised of 3 male and 3 female participants; comprised of 6 right hand, 0
left hand and 0 ambidextrous; ages ranged from 18.0 to 30.0 (mean = 23.0, std =
5.1)) and 3 recording sessions: An, Ca, and Sh. Data was recorded using an EEG
system (Brain Products) sampled at 5000.0 Hz with line noise at 60.0 Hz. There
were 90 scans in total. Recording durations ranged from 363.7 to 2910.98 seconds
(mean = 429.21, std = 270.19), for a total of 38629.34 seconds of data recorded
over all scans. For each dataset, there were on average 3.0 (std = 0.0)
recording channels per scan, out of which 3.0 (std = 0.0) were used in analysis
(0.0 +/- 0.0 were removed from analysis).

References
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Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896).https://doi.org/10.21105/joss.01896

Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103.https://doi.org/10.1038/s41597-019-0104-8

TDCS 神经调节运动想象 TMS 数据集（TDCS：经颅直流电刺激，Transcranial Direct Current Stimulation；TMS：经颅磁刺激，Transcranial Magnetic Stimulation）

研究/实验说明
[此处为研究描述内容]

BIDS 报告
本数据集为「运动想象中经颅直流电刺激调节视觉皮层数据集」，由Anthony Mensah、Gleb Perevoznyuk、Artyom Batov及Aleksandra S. Pleskovskaya构建，符合脑成像数据结构（Brain Imaging Data Structure, BIDS）1.7.0版本规范。本报告通过MNE-BIDS工具生成（https://doi.org/10.21105/joss.01896）。
本数据集包含5名被试：其中男性3名、女性3名；利手分布为6名右利手、0名左利手、0名混合利手；年龄范围为18.0~30.0岁（平均年龄23.0岁，标准差5.1）。共设置3个记录阶段：An、Ca及Sh。
数据采用Brain Products品牌的脑电图（Electroencephalogram, EEG）系统采集，采样率为5000.0Hz，工频噪声为60.0Hz。总扫描次数为90次，单次扫描记录时长范围为363.7~2910.98秒（平均时长429.21秒，标准差270.19秒），所有扫描的总记录时长合计为38629.34秒。
每个数据集的单次扫描平均包含3.0个记录通道（标准差0.0），其中全部3.0个通道（标准差0.0）用于分析，0.0±0.0个通道被移除出分析流程。

参考文献
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1. Appelhoff S, Sanderson M, Brooks T, Vliet M, Quentin R, Holdgraf C, Chaumon M, Mikulan E, Tavabi K, Höchenberger R, Welke D, Brunner C, Rockhill A, Larson E, Gramfort A, Jas M. MNE-BIDS：将电生理数据整理为BIDS格式并简化分析流程[J]. 开源软件期刊, 2019, 4: 1896. https://doi.org/10.21105/joss.01896
2. Pernet CR, Appelhoff S, Gorgolewski KJ, Flandin G, Phillips C, Delorme A, Oostenveld R. EEG-BIDS：面向脑电图的脑成像数据结构扩展[J]. 科学数据, 2019, 6: 103. https://doi.org/10.1038/s41597-019-0104-8

搜集汇总

背景与挑战

背景概述

该数据集是一个关于经颅直流电刺激（TDCS）调节视觉皮层在运动想象任务中的EEG研究，包含5名参与者的数据，记录于3个会话，使用高采样率（5000Hz）的Brain Products系统。数据集遵循BIDS标准，涵盖多种任务类型，适用于神经调控和运动想象的脑电分析。