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A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
Chen, Kun1,2; Wang, Ruien1,2; Huang, Jiamin1,3; Gao, Fei1,4; Yuan, Zhen1,5; Qi, Yanyan6; Wu, Haiyan1,2
2022-12-01
Source PublicationScientific Data
Volume9Issue:1
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
Indexed BySCIE
Language英語English
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000826154700001
Scopus ID2-s2.0-85134411670
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Arts and Humanities
DEPARTMENT OF SOCIOLOGY
DEPARTMENT OF PSYCHOLOGY
INSTITUTE OF COLLABORATIVE INNOVATION
DEPARTMENT OF PUBLIC HEALTH AND MEDICINAL ADMINISTRATION
Corresponding AuthorWu, Haiyan
Affiliation1.Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macao
2.Department of Psychology, Faculty of Social Sciences, University of Macau, Taipa, Macao
3.Department of Sociology, Faculty of Social Sciences, University of Macau, Taipa, Macao
4.Faculty of Arts and Humanities, University of Macau, Taipa, Macao
5.Faculty of Health Sciences, University of Macau, Taipa, Macao
6.Department of Psychology, School of Education, Zhengzhou University, Zhengzhou, China
First Author AffilicationUniversity of Macau;  Faculty of Social Sciences
Corresponding Author AffilicationUniversity of Macau;  Faculty of Social Sciences
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,2022,9(1).
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,9(1).
MLA Chen, Kun,et al."A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking".Scientific Data 9.1(2022).
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