What question did this study set out to answer?

To present a dataset integrating EEG and fMRI data collected during cognitive tasks and resting states.

February 7, 2026Scientific Data0 citationsOpen Access

An EEG dataset with carbon wire loops in cognitive tasks and resting state inside and outside MR scanners

MTMizuki TsutsumiAdvanced Telecommunications Research Institute International TKTomohiko KishiAdvanced Telecommunications Research Institute International TOTakeshi OGAWAAdvanced Telecommunications Research Institute International

Key Points

To present a dataset integrating EEG and fMRI data collected during cognitive tasks and resting states.
Collected data from 39 healthy adults during cognitive tasks and resting state.
Used simultaneous EEG-fMRI and EEG-only recording methods.
Applied carbon wire loop EEG caps to reduce motion artifacts and ballistocardiogram noise.
Dataset offers improved quality EEG signals compared to previous studies.
Raw data is publicly available for multimodal neuroimaging research.

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.

Ask AI

Helpful

Bookmark

View Full Paper