Published July 1, 2025 | Version v1

Simultaneous EEG-fMRI dataset including 1.6mm and 0.8mm-resolution 7T fMRI acquisitions in 8 healthy participants at rest

  • 1. ROR icon Swiss Center for Electronics and Microtechnology (Switzerland)
  • 2. ROR icon University of Geneva
  • 3. Brain Products GmbH
  • 4. CSEM
  • 5. ROR icon University of Bern

Description

This dataset contains functional human brain recordings combining scalp electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) at 7 Tesla, acquired simultaneously, in a cohort of 8 healthy adult participants at rest.

The data are provided after artifact correction and pre-processing, and are ready to undergo resting-state analyses.

The dataset includes:

For every participant:

  • One 8-min EEG-fMRI run with fMRI at 1.6mm resolution / 1.05s TR, and an EEG cap adapted in-house;
  • One 8-min EEG-fMRI run with fMRI at 0.8mm resolution / 3.52s TR, and an EEG cap adapted in-house;

For 5 participants:

  • One 8-min EEG-fMRI run with fMRI at 1.6mm resolution / 1.05s TR, and a prototype EEG cap from Brain Products GmbH (BrainCap MR7Flex);
  • One 8-min EEG-fMRI run with fMRI at 0.8mm resolution / 3.52s TR, and a prototype EEG cap from Brain Products GmbH (BrainCap MR7Flex);

For every run:

  • Header information describing the MRI and EEG acquisition;
  • Head motion parameters estimated for the fMRI acquisition;
  • Several brain parcellations: brain mask, aparc+aseg, GM/WM/CSF, main cortical areas, Yeo 7 networks;

We strongly recommend consulting the accompanying file data_info.txt, for detailed information and important notes.

The data acquisition, processing steps and general data quality are extensively described in the following article:

C. Sainz Martinez, J. Wirsich, C. Jäger, T. Warbrick, S. Vulliémoz, M. Lemay, J. Bastiaansen, R. Wiest, J. Jorge. An optimized framework for simultaneous EEG-fMRI at 7T enabling safe, high-quality human brain imaging with millisecond temporal resolution and sub-millimeter spatial resolution. Imaging Neuroscience 2025. DOI: 10.1162/IMAG.a.983

 

Files

data_info.txt

Files (77.7 GB)

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Additional details

Related works

Is described by
Journal article: 10.1162/IMAG.a.983 (DOI)

Funding

Swiss National Science Foundation
Bridging gaps in the neuroimaging puzzle: advanced techniques for comprehensive mapping of brain anatomy and multi-scale network activity 185909