What is this?
The GX Dataset is a dataset of combined tES, EEG, physiological, and behavioral signals from human subjects.
All aspects of this project are fully open source. If you are having access issues please contact us below.
Description
A dataset combining high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES; including tDCS and tACS). Data includes within subject application of nine High-Definition tES (HD-tES) types targeted three brain regions (frontal, motor, parietal) with three waveforms (DC, 5Hz, 30Hz), with more than 783 total stimulation trials over 62 sessions with EEG, physiological (ECG or EKG, EOG), and continuous behavioral vigilance/alertness metrics (CTT task).
Publication
A full data descriptor is published in Nature Scientific Data. Please cite this work as:
Gebodh, N., Esmaeilpour, Z., Datta, A., Bikson, M. Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation. Sci Data 8, 274 (2021). https://doi.org/10.1038/s41597-021-01046-y
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We present a dataset combining human-participant high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES). Data include within participant application of nine High-Definition tES (HD-tES) types, targeting three cortical regions (frontal, motor, parietal) with three stimulation waveforms (DC, 5 Hz, 30 Hz); more than 783 total stimulation trials over 62 sessions with EEG, physiological (ECG, EOG), and continuous behavioral vigilance/alertness metrics. Experiment 1 and 2 consisted of participants performing a continuous vigilance/alertness task over three 70-minute and two 70.5-minute sessions, respectively. Demographic data were collected, as well as self-reported wellness questionnaires before and after each session. Participants received all 9 stimulation types in Experiment 1, with each session including three stimulation types, with 4 trials per type. Participants received two stimulation types in Experiment 2, with 20 trials of a given stimulation type per session. Within-participant reliability was tested by repeating select sessions. This unique dataset supports a range of hypothesis testing including interactions of tDCS/tACS location and frequency, brain-state, physiology, fatigue, and cognitive performance.
Where can I download the data?
The raw data (sampling rate: 2 kHz) in cnt format can be directly downloaded from Zenodo.
The downsampled data (sampling rate: 1 kHz) in mat format can be directly downloaded from Zenodo.
Downsampled data for Experiment 1. Link text: https://zenodo.org/record/3840615#.YakwQ9DMJaQ
Downsampled data for Experiment 2. Link text: https://zenodo.org/record/3840617#.YakwitDMJaQ
The transformed data (sampling rate: 2 kHz) in BIDS format can be directly downloaded from OpenNeuro.
Additional dataset figures for each trail can be directly accessed from figshare.
Trial-wise figures. Link text: https://figshare.com/authors/Nigel_Gebodh/8797454
Where can I get the code for this work?
All the code used for this work can be accessed directly from this repository on Github.
Link text: https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior
How to cite this work?
Thanks for exploring our dataset!
If you used any part of this project (data, figures, code, etc. ) please cite our published data descriptor and any appropriate repository.
PLEASE CITE DATA DESCRIPTOR AS:
Gebodh, N., Esmaeilpour, Z., Datta, A., Bikson, M. Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation. Sci Data 8, 274 (2021). https://doi.org/10.1038/s41597-021-01046-y Download citation ▼
Social Media
For the latest updates on this work and related topics feel free to follow @NigelGebodh on Twitter.
Acknowledgements
Portions of this study were funded by X (formerly Google X), the Moonshot Factory. The funding source had no influence on study conduction or result evaluation. MB is further supported by grants from the National Institutes of Health: R01NS101362, R01NS095123, R01NS112996, R01MH111896, R01MH109289, and (to NG) NIH-G-RISE T32GM136499. We would like to thank Yu Xin Zhu and Michaela Chum for all their technical assistance.
Questions?
If you have questions about any aspects of our dataset, or suggestions on improvements please let us know!