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

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A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
  •   CHANGES
  •   dataset_description.json
  •   participants.json
  •   participants.tsv
  •   README
  • derivatives
  • sourcedata
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README

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

Description

This dataset was collected in 2020, which combines 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, 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.

Main files

sub-*: EEG (.set) and behavior data with BIDS format.

sourcedata/rawdata: Raw .mff EGI data and behavior data with subject information desensitization.

sourcedata/psychopy: Stimuli and PsychoPy scripts for presentation.

derivatives/eeglab-preproc: Preprocessed continuous EEG data with EEGLAB (Easy to set different epoch time windows for further analysis).

Others

Please refer to the corresponding paper and GitHub code to get more details.

References

Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896

Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8

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