Open data: Visual load does not decrease the auditory steady state response to 40-Hz amplitude-modulated tones

Open data: Visual load does not decrease the auditory steady state response to 40-Hz amplitude-modulated tones<br>The main results files are saved separately:<br>- ASSR_study1.html: R output of the main analyses- ASSR_study1_subset_subjects.html: R output of the main analyses- ASSR_study2.html: R output of the main analyses<br>The studies were preregistered:Study 1: https://doi.org/10.17605/OSF.IO/UYJVAStudy 2: https://doi.org/10.17605/OSF.IO/JVMFD<br><b>DATA &amp; FILE OVERVIEW</b><br>File List:The files contain the raw data, scripts, and results of main and supplementary analyses of two electroencephalography (EEG) studies (Study1, Study2). Links to the hardware and software are provided under methodological information.<br>ASSR_study1_experiment_scripts.zip: contains the Python files to run the experiment. <br>ASSR_study1_rawdata.zip: contains raw datafiles for each subject<br>- data_EEG: EEG data in bdf format (generated by Biosemi)- data_log: logfiles of the EEG session (generated by Python)- data_WMC: logfiles of the working memory capacity task (generated by Python)<br>ASSR_study1_EEG_scripts.zip: Python-MNE scripts to process the EEG data<br>ASSR_study1_EEG_preprocessed.zip: Preprocessed EEG data from Python-MNE<br>ASSR_study1_analysis_scripts.zip: R scripts to analyze the data together with the main datafiles. The main files in the folder are: <br>- ASSR_study1.html: R output of the main analyses- ASSR_study1_subset_subjects.html: R output of the main analyses but after excluding five subjects who were excluded because of stricter, preregistered artifact rejection criteria<br>ASSR_study1_figures.zip: contains all figures and tables that are created by Python-MNE and R.<br>ASSR_study2_experiment_scripts.zip: contains the Python files to run the experiment<br>ASSR_study2_rawdata.zip: contains raw datafiles for each subject<br>- data_EEG: EEG data in bdf format (generated by Biosemi)- data_log: logfiles of the EEG session (generated by Python)- data_WMC: logfiles of the working memory capacity task (generated by Python)<br>ASSR_study2_EEG_scripts.zip: Python-MNE scripts to process the EEG data<br>ASSR_study2_EEG_preprocessed.zip: Preprocessed EEG data from Python-MNE<br>ASSR_study2_analysis_scripts.zip: R scripts to analyze the data together with the main datafiles. The main files in the folder are:<br>- ASSR_study2.html: R output of the main analyses- ASSR_compare_performance_between_studies.html: R output of analyses that compare behavioral performance between study 1 and study 2.<br>ASSR_study2_figures.zip: contains all figures and tables that are created by Python-MNE and R.<br><b>Instrument- or software-specific information needed to interpret the data:</b>MNE-Python (Gramfort A., et al., 2013): https://mne.tools/stable/index.html#Rstudio used with R (R Core Team, 2016): https://rstudio.com/products/rstudio/Wiens, S. (2017). Aladins Bayes Factor in R (Version 3). https://www.doi.org/10.17045/sthlmuni.4981154.v3<br><br><br><br>

开放数据集：视觉负荷不会降低40Hz调幅音调诱发的听觉稳态反应（auditory steady state response, ASSR）
本研究的主要结果文件单独保存：
- ASSR_study1.html：主分析的R语言输出结果
- ASSR_study1_subset_subjects.html：主分析的R语言输出结果
- ASSR_study2.html：主分析的R语言输出结果
两项研究均已预先注册：
研究1：https://doi.org/10.17605/OSF.IO/UYJVA
研究2：https://doi.org/10.17605/OSF.IO/JVMFD

<b>数据与文件概览</b>
文件列表：本数据集包含两项脑电图（electroencephalography, EEG）研究（研究1、研究2）的原始数据、脚本以及主分析与补充分析的结果。方法学信息部分提供了所用硬件与软件的链接。
ASSR_study1_experiment_scripts.zip：包含运行本实验所需的Python脚本文件
ASSR_study1_rawdata.zip：包含每名被试的原始数据文件
- data_EEG：采用Biosemi设备采集的bdf格式脑电图数据
- data_log：脑电图实验阶段的日志文件（由Python生成）
- data_WMC：工作记忆容量任务的日志文件（由Python生成）
ASSR_study1_EEG_scripts.zip：用于处理脑电图数据的Python-MNE脚本
ASSR_study1_EEG_preprocessed.zip：经Python-MNE预处理后的脑电图数据
ASSR_study1_analysis_scripts.zip：用于数据分析的R脚本，配套主数据文件。该文件夹内的核心文件包括：
- ASSR_study1.html：主分析的R语言输出结果
- ASSR_study1_subset_subjects.html：主分析的R语言输出结果（基于剔除了5名符合预先注册的严格伪迹剔除标准的被试后的子集）
ASSR_study1_figures.zip：包含所有由Python-MNE与R生成的图表与表格

ASSR_study2_experiment_scripts.zip：包含运行本实验所需的Python脚本文件
ASSR_study2_rawdata.zip：包含每名被试的原始数据文件
- data_EEG：采用Biosemi设备采集的bdf格式脑电图数据
- data_log：脑电图实验阶段的日志文件（由Python生成）
- data_WMC：工作记忆容量任务的日志文件（由Python生成）
ASSR_study2_EEG_scripts.zip：用于处理脑电图数据的Python-MNE脚本
ASSR_study2_EEG_preprocessed.zip：经Python-MNE预处理后的脑电图数据
ASSR_study2_analysis_scripts.zip：用于数据分析的R脚本，配套主数据文件。该文件夹内的核心文件包括：
- ASSR_study2.html：主分析的R语言输出结果
- ASSR_compare_performance_between_studies.html：用于比较研究1与研究2间行为表现的分析结果的R语言输出
ASSR_study2_figures.zip：包含所有由Python-MNE与R生成的图表与表格

<b>解读数据所需的仪器与软件相关信息：</b>
MNE-Python（Gramfort A.等，2013）：https://mne.tools/stable/index.html
配合R语言使用的RStudio（R Core Team，2016）：https://rstudio.com/products/rstudio/
Wiens, S. (2017). Aladins Bayes Factor in R (Version 3). https://www.doi.org/10.17045/sthlmuni.4981154.v3