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EEG-fMRI Dataset for A Whole-Brain EEG-Informed fMRI Analysis Across Multiple Motor Conditions

dataset
posted on 2025-06-12, 02:01 authored by Elena Bondi, Yidan DingYidan Ding, Bin HeBin He

In this study, subjects performed motor execution or motor imagery of their left hand, right hand, or right foot, in which EEG and fMRI were recorded simultaneously. Seventeen participants completed a single EEG-fMRI session. The dataset includes the preprocessed fMRI recordings and the preprocessed EEG recordings after MR-induced artifact removal, including gradient artifact (GA) and ballistocardiogram (BCG) artifact correction, for each subject. The detailed description of the study can be found in the following publication:

Bondi, E., Ding, Y., Zhang, Y., Maggioni, E., & He, B. (2025). Investigating the Neurovascular Coupling Across Multiple Motor Execution and Imagery Conditions: A Whole-Brain EEG-Informed fMRI Analysis. NeuroImage, 121311. https://doi.org/10.1016/j.neuroimage.2025.121311

If you use a part of this dataset in your work, please cite the above publication.

This dataset was collected under support from the National Institutes of Health via grants NS124564, NS131069, NS127849, and NS096761 to Dr. Bin He.

Correspondence about the dataset: Dr. Bin He, Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, PA 15213. E-mail: bhe1@andrew.cmu.edu

Funding

NS124564

NS131069

NS127849

NS096761

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