New Paper: Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation

New paper in Scientific Data

Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation

Nigel Gebodh, Zeinab Esmaeilpour, Abhishek Datta & Marom Bikson

Nature Scientific Data | (2021) 8, 274 | https://doi.org/10.1038/s41597-021-01046-y

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Abstract: 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.

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