Abstract
To study human attentional fluctuations, this study introduces Sustained Attention Task (the gradual onset continuous performance: gradCPT) multimodal dataset combining electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and diffusion-weighted imaging (DWI). The dataset contains neuroimaging data from 28 participants across the attentional tasks (gradCPT, gradCPT with imagery), imagery task, visual task (flickering checkerboard), and resting-states (eyes-open and eyes-closed). We publicly share raw and preprocessed data from each modality to expand the scope of exploring the brain states during attentional fluctuations in the human brain. The accessibility of this dataset will provide opportunities for future research in investigating the relationship between attention dynamics and brain activity across different imaging modalities.
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Data availability
The dataset generated in this study is publicly available in the OpenNeuro repository. Raw EEG, fMRI, DWI recordings, and preprocessed datasets are all accessible at https://doi.org/10.18112/openneuro.ds006040.v1.0.1.
Code availability
The code for preprocessing in a simultaneous EEG-fMRI setup is available on GitHub: https://github.com/MoonBrainLab/GradCPT-Simultaneous-EEG-fMRI-DTI-Data.
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Acknowledgements
The authors thank Suji Jeong and Boohee Choi (MR technical staffs) for the set-up and maintenance of the fMRI experiment. We express our gratitude to Jihyang Jun for providing the experimental codes for the gradCPT task. Our thanks also go to Qawi K. Telesford and Ting Xu for their guidance on the simultaneous EEG-fMRI recording experiment. We appreciate the valuable advice of Min-Suk Kang on the overall experimental pipeline and manuscript. We are grateful to Kyeong-Jin Tark and Yoonjung Lee for their insights on the gradCPT task. Lately, we extend our gratitude to Eun Sil Choi and her team for sharing the Korean version of the Big Five short form questionnaire. This work was supported by IBS-R015-Y3 (to J.-Y.M., Y.C., Y.L., E.J., S.M., M.C.) from the Institute for Basic Science of Korea (IBS), by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education of Korea (RS-2023-00272652; to Y.P.), and by the National Research Foundation of Korea (NRF) grant funded by the Korea government (2019R1A2C2089463 to H.S.L.).
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Y.C., Y.L. and J.-Y.M. designed the study and experiments. Y.C., Y.L., Y.P., S.H and J.-Y.M. set up the simultaneous EEG-fMRI and DTI experiment. Y.C., Y.L. and Y.P. were responsible for participant recruitment. Y.C., Y.L., S.M., H.K., M.C., H.S.L., Y.P. and J.-Y.M. conducted experiments and data acquisition. The processing pipeline was developed by H.K., E.J., S.H. and J.-Y.M. and data preprocessing, analysis, and quality control were carried out by Y.C., Y.L., E.J., S.M. and H.K. Data organization for upload was handled by Y.C., Y.J. and S.M. and the manuscript was written and reviewed by Y.C., Y.J., E.J., S.H. and J.-Y.M.
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Cha, Y., Lee, Y., Ji, E. et al. Sustained Attention Task (gradCPT) Dataset using simultaneous EEG-fMRI and DTI. Sci Data (2026). https://doi.org/10.1038/s41597-026-06616-6
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DOI: https://doi.org/10.1038/s41597-026-06616-6
