Evidence map›Paper›PMID 41200234›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

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.

Cristina Sainz Martinez, Jonathan Wirsich, Cilia Jäger, Tracy Warbrick, Serge Vulliémoz, Mathieu Lemay, Jessica Bastiaansen, Roland Wiest, João Jorge

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Cristina Sainz MartinezCSEM - Swiss Center for Electronics and Microtechnology, Neuchâtel, Switzerland.ORCID https://orcid.org/0000-0002-8119-1579
Jonathan WirsichCIBM Center for Biomedical Imaging, Vaud, Switzerland.ORCID https://orcid.org/0000-0003-0588-9710
Cilia JägerBrain Products GmbH, Gilching, Germany.ORCID https://orcid.org/0000-0003-3590-3536
Tracy WarbrickBrain Products GmbH, Gilching, Germany.ORCID https://orcid.org/0000-0001-8619-9409
Serge VulliémozEEG and Epilepsy Unit, Department of Clinical Neurosciences, University Hospitals and University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-1877-8625
Mathieu LemayCSEM - Swiss Center for Electronics and Microtechnology, Neuchâtel, Switzerland.ORCID https://orcid.org/0000-0001-8082-973X
Jessica BastiaansenDepartment of Diagnostic, Interventional and Pediatric Radiology, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-5485-1308
Roland WiestSupport Center of Advanced Neuroimaging, Institute of Diagnostic and Interventional Neuroradiology, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0001-7030-2045
João JorgeCSEM - Swiss Center for Electronics and Microtechnology, Neuchâtel, Switzerland.ORCID https://orcid.org/0000-0001-6667-1868

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) at ultra-high field (7 Tesla) offers appealing new possibilities to probe human brain function non-invasively with high coverage, millisecond temporal precision and sub-millimeter spatial precision, unraveling cortical layers and small subcortical structures. Unfortunately, this technique has remained largely inaccessible at 7T, due to prohibitive cross-modal interference effects and physical constraints. Here, we developed a first-of-its-kind EEG-fMRI acquisition framework on a clinical 7T system combining key improvements from previous research: compact EEG transmission to reduce artifact incidence, reference sensors for artifact correction, and adapted leads for compatibility with a dense radiofrequency receive array allowing state-of-the-art fMRI sensitivity and acceleration. Two implementations were tested: one using an EEG cap adapted in-house, and another using a recently designed prototype from an industrial manufacturer, intended to be further developed into a commercial device accessible to the broader community. A comprehensive evaluation in humans showed that simultaneous acquisitions, including sub-millimeter fMRI resolution, could be conducted without detectable safety issues or major practical constraints. The EEG exerted relatively mild perturbations on fMRI quality (6-11% loss in temporal SNR), without measurably affecting the detection of resting-state networks and visual responses. The artifacts induced on EEG could be corrected to a degree where the spatial, spectral, and temporal characteristics were comparable with outside recordings, and hallmark features such as resting-state alpha and eyes-closing alpha modulation could be clearly detected. Altogether, these findings indicate excellent prospects for neuroimaging applications, which can leverage the unique possibilities achievable at 7T.

Indexed as

EEG-fMRIhumanqualitysafetysensitivityultra-high field

Identifiers

PMID41200234
PMCPMC12587055

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.