452-02-004 / 452-02-004 ISMRM Abstract

MRI-Induced Artefact Characterization and Correction in Graphene-Based Electrophysiology – A Pilot In Vivo Study

Primary: Physics & Engineering - Multimodal

Secondary: Acquisition & Reconstruction - Artifacts and Correction Strategies

452-02-004 · Methodology: Acquisition and Analysis · Tuesday, 12 May, 1:40 PM–3:16 PM · Power Pitch Theatre 2

Keywords: EEG Artefact Detection EEG-fMRI Graphene-based Electrophysiology Artefact Correction

Accepted

Suchit Kumar ¹, Alejandro Labastida-Ramírez, Samuel M Flaherty², William Morrey^3,4, Nerea Alvarez de Eulate^5,6, Anton Guimerà Brunet^5,6, Rob C Wykes^1,2, Ben Dickie³, Kostas Kostarelos², Louis Lemieux¹

¹Research Department of Epilepsy, University College London, London, United Kingdom

²Centre for Nanotechnology in Medicine & Division Neuroscience, University of Manchester, Manchester, United Kingdom

³Division of Informatics Imaging & Data Sciences, University of Manchester, Manchester, United Kingdom

⁴Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom

⁵Centros de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Spain

⁶Institute of Microelectronics of Barcelona (IMB-CNM, CSIC), Spain

Presenting Author: Suchit Kumar

Synopsis

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References

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2. Erhardt JB, et al. Should patients with brain implants undergo MRI? Journal of Neural Engineering. 2018; 15.4: 041002. doi:10.1088/1741-2552/aab4e4 [doi]

3. Stevens TK, et al. MR compatibility of EEG scalp electrodes at 4 tesla. Journal of Magnetic Resonance Imaging. 2007; 25.4: 872- 877. doi:10.1002/jmri.20872 [doi]

4. Lemieux L, et al. Recording of EEG during fMRI experiments: Patient safety. Magnetic Resonance in Medicine. 1997; 38.6: 943- 952. doi:10.1002/mrm.1910380614 [doi]

5. Masvidal-Codina O, et al. High-resolution mapping of infraslow cortical brain activity enabled by graphene microtransistors. Nature Materials. 2019; 18.3: 280-288. doi:10.1038/s41563-018-0249-4 [doi]

6. Bonaccini Calia A, et al. Full-bandwidth electrophysiology of seizures and epileptiform activity enabled by exible graphene microtransistor depth neural probes. Nature Nanotechnology. 2022; 17.3: 301-309. doi:10.1038/s41565-021-01041-9 [doi]

7. Kumar S, et al. MRI Safety and Compatibility Assessment of Graphene-Based Electrophysiological Arrays at 7 Tesla. ISMRM Workshop on MR Safety. 2025; p18. https://discovery.ucl.ac.uk/id/eprint/10215003/

8. Allen PJ, Josephs O, Turner R. A method for removing imaging artifact from continuous EEG recorded during functional MRI. Neuroimage 2000; 12.2: 230-239. doi:10.1006/nimg.2000.0599 [doi]

9. Mandelkow H, et al. Synchronization facilitates removal of MRI artefacts from concurrent EEG recordings and increases usable bandwidth. Neuroimage. 2006; 32.3: 1120-1126. doi:10.1016/j.neuroimage.2006.04.231 [doi]

10. BrainVision Analyzer. Brain Products GmbH, Gilching, Germany. https://www.brainproducts.com/solutions/analyzer/

11. Mulert C, Lemieux L. EEG-fMRI: Physiological Basis, Technique and Applications. Springer. 2023. doi:10.1007/978-3-540-87919-0 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/452-02-004