Marini Francesco, Breeding Katherine A, Snow Jacqueline C
Department of Psychology, University of Nevada, 1664 N Virginia St, Reno, NV 89557-0296, USA.
Swartz Center for Computational Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0559, USA.
Data Brief. 2019 Mar 21;24:103857. doi: 10.1016/j.dib.2019.103857. eCollection 2019 Jun.
Here we present a collection of electroencephalographic (EEG) data recorded from 24 observers (14 females, 10 males, mean age: 25.4) while observing individually-presented stimuli comprised of 96 real-world objects, and 96 images of the same items printed in high-resolution. EEG was recorded from 128 scalp channels. Six additional external electrodes were used to record vertical and horizontal electrooculogram, as well as the signal from the left and right mastoid. EEG has been pre-processed, segmented in non-overlapping epochs, and independent component analysis (ICA) has been conducted to reject artifacts. Moreover, supplemental pre-processing steps have been completed to facilitate the analysis of event-related potentials (ERP). These data are linked to the article "Distinct visuo-motor brain dynamics for real-world objects versus planar images". Alongside this data we provide the custom-written Matlab code that can be used to fully reproduce all analyses and figures presented in the linked research article.
在此,我们展示了从24名观察者(14名女性,10名男性,平均年龄:25.4岁)记录的脑电图(EEG)数据,这些观察者在观察单独呈现的刺激时进行记录,刺激包括96个现实世界中的物体以及96张以高分辨率打印的相同物品的图像。EEG从128个头皮通道进行记录。另外使用六个外部电极记录垂直和水平眼电图以及来自左右乳突的信号。EEG已进行预处理,分割为不重叠的时间段,并进行了独立成分分析(ICA)以去除伪迹。此外,还完成了补充预处理步骤以促进事件相关电位(ERP)的分析。这些数据与文章《现实世界物体与平面图像的不同视觉运动脑动力学》相关。除了这些数据,我们还提供了自定义编写的Matlab代码,可用于完全重现链接研究文章中呈现的所有分析和图表。