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Open data: Effects of a Manual Response Requirement on Early and Late Correlates of Auditory Awareness

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https://figshare.com/articles/dataset/Open_data_Effects_of_a_Manual_Response_Requirement_on_Early_and_Late_Correlates_of_Auditory_Awareness/8281406
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Eklund, R., Gerdfeldter, B., & Wiens, S. (2019). Effects of a Manual Response Requirement on Early and Late Correlates of Auditory Awareness. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.02083 We manipulated the manual response requirement (response and no-response) in an auditory detection task while we recorded electroencephalography. Event-related potentials (ERPs) were computed from these data. AAN4_OSF_Register Auditory Awareness Negativity.pdf contains the preregistration at open science framework (osf). https://doi.org/10.17605/OSF.IO/ZW8Q7 rawdata_2019_AAN4_*_**_bdf.zip contains the raw eeg data files (subjects * to **) that were recorded with a biosemi system (www.biosemi.com). The files can be opened in MNE-Python. https://www.nmr.mgh.harvard.edu/mne/stable/index.html AAN4_MNE.zip contains all the Python scripts that were used to process the ERP data and the final, preprocessed individual data files. They can be opened with MNE-Python. AAN4_Python.zip contains the python scripts for the main task. They need python (https://www.python.org/) and psychopy (http://www.psychopy.org/) AAN4_beh_data_and_R_scripts.zip contains the behavioral data and R scripts to process the behavioral data. https://www.r-project.org/. AAN4_Supplementary.zip contains: JASP_AAN4_amps.html: Exploratory Bayesian analyses for response versus no-response for AAN (160 to 260 ms), LP (350 to 550 ms), and LPexp (350 to 450 ms). Motivation_for_the_preregistered_electrode_selection.pdf: Explains rationale for electrode selection. Simulation_AANr_minus_AANn.PNG: Results for the simulation of Bayesfactors for the AAN difference of response minus no-response. Simulation_LPr_minus_LPn.PNG: Results for the simulation of Bayesfactors for the LP (350 to 550 ms) difference of response minus no-response. Simulation_LPr_minus_LPn_shorter_interval.PNG: Results for the simulation of Bayesfactors for a shorter LP (350 to 450 ms) difference of response minus no-response. Supp_Figure_erps.jpeg: Figure showing the ERPs to tones for the different conditions. Supp_Figure_visual_components.jpeg: Figure showing the topographies of the visual component for all conditions. source_localization_videos folder: Videos of source estimates for aware minus unaware critical trials and aware control trials. data_driven_analysis folder: Contains analyses with data-driven electrode selection. Electrodes_used_for_data_driven_analysis.txt: List of electrodes used for the data-driven analysis Supp_Figure_data_driven.jpeg: Figure of the data-driven electrode selection for the topographies for AAN and LP. Table_data_driven.docx: ERP results for the data-driven electrode selection. JASP_AAN4_amps_data_driven.html: Bayesian analyses for the data-driven electrode selection.

埃克隆德(Eklund, R.)、格德费尔特(Gerdfeldter, B.)与威恩斯(Wiens, S.)于2019年发表的研究《手动反应要求对听觉意识早期与晚期相关指标的影响》,刊载于《前沿心理学》(Frontiers in Psychology),DOI:10.3389/fpsyg.2019.02083。 本研究在听觉检测任务中操控手动反应要求(有反应与无反应两种条件),同时记录脑电图(Electroencephalography, EEG)数据,并基于此计算事件相关电位(Event-related Potentials, ERPs)。 文件AAN4_OSF_Register Auditory Awareness Negativity.pdf 包含开放科学框架(Open Science Framework, OSF)上的预注册信息,DOI:10.17605/OSF.IO/ZW8Q7。 压缩包rawdata_2019_AAN4_*_**_bdf.zip 包含使用BioSemi系统(www.biosemi.com)记录的原始脑电数据文件(受试者*至**),该文件可通过MNE-Python打开,官方网址:https://www.nmr.mgh.harvard.edu/mne/stable/index.html。 压缩包AAN4_MNE.zip 包含所有用于处理事件相关电位数据的Python脚本,以及最终的预处理个体数据文件,可通过MNE-Python打开。 压缩包AAN4_Python.zip 包含用于主任务的Python脚本,运行需依赖Python(https://www.python.org/)与PsychoPy(http://www.psychopy.org/)。 压缩包AAN4_beh_data_and_R_scripts.zip 包含行为学数据与用于处理行为学数据的R脚本,R语言官方网址:https://www.r-project.org/。 压缩包AAN4_Supplementary.zip 包含以下内容: 1. JASP_AAN4_amps.html:针对有反应与无反应条件下的听觉意识负波(Auditory Awareness Negativity, AAN,160~260 ms)、晚期正波(Late Positive, LP,350~550 ms)以及LPexp(350~450 ms)进行的探索性贝叶斯分析文件。 2. Motivation_for_the_preregistered_electrode_selection.pdf:说明电极选择的理论依据。 3. Simulation_AANr_minus_AANn.PNG:有反应组与无反应组的AAN差值(反应组减无反应组)的贝叶斯因子模拟结果图。 4. Simulation_LPr_minus_LPn.PNG:有反应组与无反应组的LP(350~550 ms)差值(反应组减无反应组)的贝叶斯因子模拟结果图。 5. Simulation_LPr_minus_LPn_shorter_interval.PNG:有反应组与无反应组的短时长LP(350~450 ms)差值(反应组减无反应组)的贝叶斯因子模拟结果图。 6. Supp_Figure_erps.jpeg:展示不同条件下纯音诱发事件相关电位的图像。 7. Supp_Figure_visual_components.jpeg:展示所有条件下视觉成分的头皮地形图。 8. source_localization_videos文件夹:包含意识试次与无意识关键试次、意识对照试次的源定位估计视频。 9. data_driven_analysis文件夹:包含基于数据驱动的电极选择分析内容,其中包含: - Electrodes_used_for_data_driven_analysis.txt:数据驱动分析所用电极列表。 - Supp_Figure_data_driven.jpeg:展示数据驱动电极选择的AAN与LP成分头皮地形图。 - Table_data_driven.docx:数据驱动电极选择对应的事件相关电位分析结果表。 - JASP_AAN4_amps_data_driven.html:针对数据驱动电极选择的贝叶斯分析文件。
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2019-09-11
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