tFUS-EEG-BCI mVEP Speller Dataset for "Transcranial Focused Ultrasound to V5 Enhances Human Visual Motion Brain-Computer Interface by Modulating Feature-Based Attention"

This EEG Brain Computer Interface (BCI) dataset was collected as part of the study titled: “Transcranial Focused Ultrasound to V5 Enhances Human Visual Motion Brain-Computer Interface by Modulating Feature-Based Attention”. If you use a part of this dataset in your work, please cite the following publication:J. Kosnoff, K. Yu, C. Liu, and B. He, “Transcranial Focused Ultrasound to V5 Enhances Human Visual Motion Brain-Computer Interface by Modulating Feature-Based Attention.” bioRxiv, p. 2023.09.04.556252, Sep. 5, 2023. doi: 10.1101/2023.09.04.556252.In the shared dataset, the README file includes the essential data structure and event labels for reading the EEG data collected from 25 healthy human subjects in our study. The file "BCI Outcomes" includes the behavior readout associated with specific experiment conditions in this visual motion based BCI task implemented by those human subjects. The associated code and software to read the EEG data can be accessed through GitHub at https://github.com/bfinl/tFUS-mVEPBCI-Analysis. This work was supported by NIH grants R01NS124564 (PI: B.H.), R01AT009263 (PI: B.H.), U18EB029354 (PI: B.H.), T32EB029365 (J.K.), RF1NS131069 (PI: B.H.), R01NS096761 (PI: B.H.), and NS127849 (PI: B.H.), as well as National Science Foundation Graduate Research Fellowship Program grant DGE2140739 (J.K.). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Institutes of Health or the National Science Foundation.Please direct correspondence about the dataset to: Dr. Bin He, Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, PA 15213. E-mail: [e-mail]