Abstract
We present a new dataset consisting of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) collected from 39 healthy adults in their twenties to forties while performing cognitive tasks (visual oddball and N-back tasks) in addition to resting state. These tasks took place both inside and outside an MR scanner (i.e., simultaneous EEG-fMRI and EEG-only, respectively), enabling direct comparisons across the different recording environments. Moreover, a subset of the participants was in two different MRI scanners, allowing for traveling-subject analyses. In both scanners, we used EEG caps equipped with carbon wire loops to measure motion and ballistocardiogram artifacts for their subsequent removal from raw EEG signals, resulting in a dataset of superior quality compared to previous studies. All the raw data are publicly available for facilitating multimodal neuroimaging research.
Data availability
The datasets in this study are available through our website(https://doi.org/10.34860/atr-EfP-2025). Access to the data is provided to researchers upon registration, after which a link to the data repository will be supplied.
Code availability
MATLAB and Python codes for EEG preprocessing described in Table 4 are available from a link to our data repository after registering on our website, https://doi.org/10.34860/atr-EfP-2025.
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Acknowledgements
We thank Tomosumi Haitani, Issaku Kawashima, Tomoko Kawashima and Kana Inoue for help of data collection; Miki Kitagawa preparing for the experiment; Yoko Matsumoto for recruiting participants and scheduling the experiment. Furthermore, we would like to thank the team from the ATR Brain Activity Imaging Center (BAIC), in particular, Akikazu Nishikido, Nobuyoshi Tanki, and Akihide Yamamoto for their technical support. This work was supported by Innovative Science and Technology Initiative for Security Grant Number JPJ004596, ATLA, Japan.
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Mizuki Tsutsumi and Tomohiko Kishi collected, analyzed, and interpreted the data and drafted the manuscript. They are equal contributors to this work and are designated as co-first authors. Takeshi Ogawa and Toshikazu Kuroda collected data and advised on data analysis and interpretation. Reinmar J. Kobler developed the EEG preprocessing pipeline. Takeshi Ogawa, Toshikazu Kuroda, and Reinmar J. Kobler contributed to the study conception and design under the supervision of Motoaki Kawanabe. All authors read and approved the final manuscript.
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Tsutsumi, M., Kishi, T., Ogawa, T. et al. An EEG dataset with carbon wire loops in cognitive tasks and resting state inside and outside MR scanners. Sci Data (2026). https://doi.org/10.1038/s41597-026-06734-1
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DOI: https://doi.org/10.1038/s41597-026-06734-1
