High-quality multimodal MRI with simultaneous EEG using conductive ink and polymer-thick film nets

<i>Objective</i>. Combining magnetic resonance imaging (MRI) and electroencephalography (EEG) provides a powerful tool for investigating brain function at varying spatial and temporal scales. Simultaneous acquisition of both modalities can provide unique information that a single modality alone cannot reveal. However, current simultaneous EEG-fMRI studies are limited to a small set of MRI sequences due to the image quality and safety limitations of commercially available MR-conditional EEG nets. We tested whether the Inknet2, a high-resistance polymer thick film based EEG net that uses conductive ink, could enable the acquisition of a variety of MR image modalities with minimal artifacts by reducing the radiofrequency-shielding caused by traditional MR-conditional nets.<i>Approach</i>. We first performed simulations to model the effect of the EEG nets on the magnetic field and image quality. We then performed phantom scans to test image quality with a conventional copper EEG net, with the new Inknet2, and without any EEG net. Finally, we scanned five human subjects at 3 Tesla (3 T) and three human subjects at 7 Tesla (7 T) with and without the Inknet2 to assess structural and functional MRI image quality.<i>Main results</i>. Across these simulations, phantom scans, and human studies, the Inknet2 induced fewer artifacts than the conventional net and produced image quality similar to scans with no net present.<i>Significance</i>. Our results demonstrate that high-quality structural and functional multimodal imaging across a variety of MRI pulse sequences at both 3 T and 7 T is achievable with an EEG net made with conductive ink and polymer thick film technology.

Authors

Institutions

Publication Details

Journal
Journal of Neural Engineering
Published
2024-10-17
DOI
https://doi.org/10.1088/1741-2552/ad8837
Citations
4
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-quality multimodal MRI with simultaneous EEG using conductive ink and polymer-thick film nets

Hongbae Jeong, Nicholas G. Cicero, Beverly Setzer, Michael H. Lev et al.
4 citations
Journal of Neural Engineering
EEG and Brain-Computer Interfaces
1.37
article

High-quality multimodal MRI with simultaneous EEG using conductive ink and polymer-thick film nets

Hongbae Jeong, Nicholas G. Cicero, Beverly Setzer, Michael H. Lev, Daniel Gómez, Manfred Jaschke, Nina E. Fultz, Laura D. Lewis, Tracy Warbrick, Stephanie D. Williams, Giorgio Bonmassar, Rajiv Gupta
article en
4 citations

Abstract

<i>Objective</i>. Combining magnetic resonance imaging (MRI) and electroencephalography (EEG) provides a powerful tool for investigating brain function at varying spatial and temporal scales. Simultaneous acquisition of both modalities can provide unique information that a single modality alone cannot reveal. However, current simultaneous EEG-fMRI studies are limited to a small set of MRI sequences due to the image quality and safety limitations of commercially available MR-conditional EEG nets. We tested whether the Inknet2, a high-resistance polymer thick film based EEG net that uses conductive ink, could enable the acquisition of a variety of MR image modalities with minimal artifacts by reducing the radiofrequency-shielding caused by traditional MR-conditional nets.<i>Approach</i>. We first performed simulations to model the effect of the EEG nets on the magnetic field and image quality. We then performed phantom scans to test image quality with a conventional copper EEG net, with the new Inknet2, and without any EEG net. Finally, we scanned five human subjects at 3 Tesla (3 T) and three human subjects at 7 Tesla (7 T) with and without the Inknet2 to assess structural and functional MRI image quality.<i>Main results</i>. Across these simulations, phantom scans, and human studies, the Inknet2 induced fewer artifacts than the conventional net and produced image quality similar to scans with no net present.<i>Significance</i>. Our results demonstrate that high-quality structural and functional multimodal imaging across a variety of MRI pulse sequences at both 3 T and 7 T is achievable with an EEG net made with conductive ink and polymer thick film technology.

Journal of Neural EngineeringVol. 21(6)
Boston University (US), Harvard University (US), Zeppelin Universität gemeinnützige GmbH (DE), Copenhagen University Hospital (DK), Rigshospitalet (DK), Massachusetts General Hospital (US), Boston Biomedical (United States) (US), Brain (Germany) (DE), Athinoula A. Martinos Center for Biomedical Imaging (US), Massachusetts Institute of Technology (US)
McKnight Foundation, Massachusetts General Hospital, National Institutes of Health, National Institute on Aging, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering
Openalex Percentile: Top 19%
EEG and Brain-Computer Interfaces
1.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.