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A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
Chen, Kun; Wang, Ruien; Huang, Jiamin; Gao, Fei; Yuan, Zhen; Qi, Yanyan; Wu, Haiyan
2022-07-16
Source PublicationScientific Data
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.

DOI10.1038/s41597-022-01538-5
URLView the original
WOS Research AreaScience & Techonology
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionINSTITUTE OF COLLABORATIVE INNOVATION
Corresponding AuthorWu, Haiyan
Recommended Citation
GB/T 7714
Chen, Kun,Wang, Ruien,Huang, Jiamin,et al. A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking[J]. Scientific Data,2022.
APA Chen, Kun,Wang, Ruien,Huang, Jiamin,Gao, Fei,Yuan, Zhen,Qi, Yanyan,&Wu, Haiyan.(2022).A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking.Scientific Data.
MLA Chen, Kun,et al."A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking".Scientific Data (2022).
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