Published May 21, 2020 | Version V2
Dataset Open

Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation

  • 1. The City College of New York
  • 2. Soterix Medical Inc.

Description

Supporting materials for the GX Dataset. 

 The GX Dataset is a dataset of combined tES, EEG, physiological, and behavioral signals from human subjects.

Publication

A full data descriptor is published in Nature Scientific Data. Please cite this work as:

Gebodh, N., Esmaeilpour, Z., Datta, A. et al. 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

 

Descriptions

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).

Acknowledgments

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 Yuxin Xu and Michaela Chum for all their technical assistance.

 

Extras

For downsampled data (1 kHz ) please see (in .mat format):

 

Code used to import, process, and plot this dataset can be found here:

 

Additional figures for this project have been shared on Figshare. Trial-wise figures can be found here:

 

The full dataset is also provided in BIDS format here:

Data License 
Creative Common 4.0 with attribution (CC BY 4.0)

 

NOTE

Please email ngebodh01@citymail.cuny.edu with any questions.

Follow @NigelGebodh for latest updates.

 

Files

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