一种利用 EEG 和鼠标追踪技术评估成人大脑中动态二元选择的资源。

A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking.

机构信息

Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China.

Department of Psychology, Faculty of Social Sciences, University of Macau, Taipa, Macau SAR, China.

出版信息

Sci Data. 2022 Jul 16;9(1):416. doi: 10.1038/s41597-022-01538-5.

DOI:10.1038/s41597-022-01538-5

PMID:35842416

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9288455/

Abstract

We present a dataset combining high-density Electroencephalography (HD-EEG, 128-channels) and mouse-tracking intended as a resource for examining the dynamic decision process of semantics and preference choices in the human brain. The dataset includes resting-state and task-related (food preference choices and semantic judgments) EEG acquired from 31 individuals (ages: 18-33). Along with the dataset, we also provided the preliminary microstate analysis of resting-state EEG and the ERPs, topomap, and time-frequency maps of the task-related EEG. We believe that the simultaneous mouse-tracking and EEG recording would crack the core components of binary choices and further index the temporal dynamics of decision making and response hesitation. This publicly available dataset could support the development of neural signal processing methods in motor EEG, thus advancing research in both the decision neuroscience and brain-computer interface (BCI) applications.

摘要

我们呈现了一个结合了高密度脑电图（HD-EEG，128 通道）和鼠标追踪的数据集，旨在作为研究人类大脑中语义和偏好选择的动态决策过程的资源。该数据集包括从 31 个人（年龄：18-33 岁）中获得的静息态和任务相关（食物偏好选择和语义判断）EEG。随着数据集的提供，我们还提供了静息态 EEG 的初步微状态分析以及任务相关 EEG 的 ERP、顶图谱和时频图谱。我们相信，同时进行鼠标追踪和 EEG 记录将破解二进制选择的核心组件，并进一步指示决策制定和反应犹豫的时间动态。这个公开可用的数据集可以支持运动 EEG 中神经信号处理方法的发展，从而推进决策神经科学和脑机接口（BCI）应用的研究。