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Abstract #1327

Simultaneous EEG-fMRI at 7T with adapted EEG leads and reference sensors for high-quality, high-resolution imaging: human evaluation

Cristina Sainz Martinez1,2, Jonathan Wirsich3, Serge Vulliémoz3, Mathieu Lemay1, Jessica Bastiaansen4,5, Roland Wiest6, and João Jorge1
1CSEM - Swiss Center for Electronics and Microtechnology, Bern, Switzerland, 2CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 3EEG and Epilepsy Unit, Department of Clinical Neurosciences, University Hospitals and University of Geneva, Geneva, Switzerland, 4Department of Diagnostic, Interventional and Pediatric Radiology, Bern University Hospital, University of Bern, Bern, Switzerland, 5Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 6Institute of Diagnostic and Interventional Neuroradiology, Bern University Hospital, University of Bern, Bern, Switzerland

Synopsis

Keywords: Multimodal, High-Field MRI, EEG, fMRI, EEG-fMRI, 7T, laminar

Motivation: The combination of BOLD-fMRI at 7T with EEG could bring novel insights to neuroscience. However, the combination has remained challenging due to accentuated artifacts and RF-coil constraints.

Goal(s): To implement a first-of-its-kind 7T EEG-fMRI framework combining key developments from recent studies, and assess its safety, data quality and functional sensitivity in humans.

Approach: Extensive tests in phantom and humans(N=8) including field mapping, structural MRI and fMRI (1.6 and 0.8mm-resolution) acquired with+without EEG. Comparisons of data quality and functional sensitivity.

Results: The framework proved safe and feasible with fMRI down to sub-mm resolution, with moderate quality losses and potentially negligible impact on functional sensitivity.

Impact: This study characterizes the feasibility of 7T-EEG-fMRI with high sensitivity and acceleration capabilities, which could bring valuable insights to research in e.g. laminar functional connectivity, or localization of epileptogenic sources and their propagation pathways, for clinical diagnostic and pre-surgical planning.

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