HD-EEG task with mouse tracking
uploaded by const on 2021-08-15 - about 1 month ago
last modified on 2021-08-19 - about 1 month ago
authored by Kun Chen, Ruien Wang, Jiamin Huang, Fei Gao, Zhen Yuan, Yanyan Qi, Haiyan Wu
3219363OpenNeuro Accession Number: ds003766
Files: 780, Size: 41.88GB, Subjects: 31, Session: 1
Available Tasks: foodchoice, imagechoice, wordchoice, rest
Available Modalities: EEG
README
Description
This dataset was collected in 2020, 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 high-density resting-state and task-related (food preference choices and semantic judgments) EEG acquired from 31 individuals (ages: 18–33).
EEG acquisition
The EEG data were acquired using a 128-channel cap based on the standard 10/20 System with Electrical Geodesics Inc (EGI, Eugene, Oregon) system. During recording, the sampling rate was 1000Hz, and the E129 (Cz) electrode was used as reference. Electrode impedances were kept below 50kohm for each electrode during the experiment.
Others
Please refer to the corresponding paper and code to get more details.
Authors
- Kun Chen
- Ruien Wang
- Jiamin Huang
- Fei Gao
- Zhen Yuan
- Yanyan Qi
- Haiyan Wu
Dataset DOI
10.18112/openneuro.ds003766.v1.0.0License
Acknowledgements
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Funding
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How To Cite
Kun Chen and Ruien Wang and Jiamin Huang and Fei Gao and Zhen Yuan and Yanyan Qi and Haiyan Wu (2021). HD-EEG task with mouse tracking. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003766.v1.0.0
More citation info
HD-EEG task with mouse tracking
uploaded by const on 2021-08-15 - about 1 month ago
last modified on 2021-08-19 - about 1 month ago
authored by Kun Chen, Ruien Wang, Jiamin Huang, Fei Gao, Zhen Yuan, Yanyan Qi, Haiyan Wu
3219363OpenNeuro Accession Number: ds003766
Files: 780, Size: 41.88GB, Subjects: 31, Session: 1
Available Tasks: foodchoice, imagechoice, wordchoice, rest
Available Modalities: EEG
README
Description
This dataset was collected in 2020, 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 high-density resting-state and task-related (food preference choices and semantic judgments) EEG acquired from 31 individuals (ages: 18–33).
EEG acquisition
The EEG data were acquired using a 128-channel cap based on the standard 10/20 System with Electrical Geodesics Inc (EGI, Eugene, Oregon) system. During recording, the sampling rate was 1000Hz, and the E129 (Cz) electrode was used as reference. Electrode impedances were kept below 50kohm for each electrode during the experiment.
Others
Please refer to the corresponding paper and code to get more details.
Authors
- Kun Chen
- Ruien Wang
- Jiamin Huang
- Fei Gao
- Zhen Yuan
- Yanyan Qi
- Haiyan Wu
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