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
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.
Authors
- Mathieu Lemay (ORCID: https://orcid.org/0000-0001-8082-973X)
- Cristina Sainz Martinez (ORCID: https://orcid.org/0000-0002-8119-1579)
- Jessica Bastiaansen (ORCID: https://orcid.org/0000-0002-5485-1308)
- Roland Wiest (ORCID: https://orcid.org/0000-0001-7030-2045)
- Serge Vulliémoz (ORCID: https://orcid.org/0000-0002-1877-8625)
- João Jorge (ORCID: https://orcid.org/0000-0001-6667-1868)
- Tracy Warbrick (ORCID: https://orcid.org/0000-0001-8619-9409)
- Jonathan Wirsich (ORCID: https://orcid.org/0000-0003-0588-9710)
- Cilia Jäger
Institutions
- University of Geneva (CH)
- University of Bern (CH)
- Swiss Center for Electronics and Microtechnology (Switzerland) (CH)
- University Hospital of Bern (CH)
- University Hospital of Geneva (CH)
- Brain (Germany) (DE)
- Centre d'Imagerie BioMedicale (CH)
- Geneva College (US)
Publication Details
- Journal
- Imaging Neuroscience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1162/imag.a.983
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Centre d'Imagerie BioMédicale