Wireless EEG System for Concurrent TMS-EEG-fMRI

Motivation: We present a novel approach to challenges posed by concurrent TMS-EEG-fMRI systems, using a wireless EEG system based on the Single Chip Micro Mote (SCμM). Goal(s): This approach could enable safer, more effective multimodal brain imaging and stimulation studies by eliminating long wires and large loop areas in the MRI environment. Approach: We demonstrate a prototype using SCμM-3C with Texas Instruments ADS1299 on an MRI-safe PCB. Results: Our results show stable operation and communication from within the bore with minimal disruption from structural and functional MRI sequences. Ongoing work aims to miniaturize the system by integrating a custom EEG front-end onto SCμM. Impact: This wireless EEG system aims to advance multimodal neuroimaging by enabling concurrent TMS-EEG-fMRI studies with reduced interference and improved safety. The system may improve the many relevant diagnostic and therapeutic applications in neuroscience. The presented prototype is made open-source.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/1528
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
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article

Wireless EEG System for Concurrent TMS-EEG-fMRI

Julian Maravilla, Ali M. Niknejad, Michael Lustig, Kristofer S. J. Pister et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Wireless Body Area Networks
article

Wireless EEG System for Concurrent TMS-EEG-fMRI

Julian Maravilla, Ali M. Niknejad, Michael Lustig, Kristofer S. J. Pister, Chunlei Liu, Yu Lin, Daniel Lovell
article en

Abstract

Motivation: We present a novel approach to challenges posed by concurrent TMS-EEG-fMRI systems, using a wireless EEG system based on the Single Chip Micro Mote (SCμM). Goal(s): This approach could enable safer, more effective multimodal brain imaging and stimulation studies by eliminating long wires and large loop areas in the MRI environment. Approach: We demonstrate a prototype using SCμM-3C with Texas Instruments ADS1299 on an MRI-safe PCB. Results: Our results show stable operation and communication from within the bore with minimal disruption from structural and functional MRI sequences. Ongoing work aims to miniaturize the system by integrating a custom EEG front-end onto SCμM. Impact: This wireless EEG system aims to advance multimodal neuroimaging by enabling concurrent TMS-EEG-fMRI studies with reduced interference and improved safety. The system may improve the many relevant diagnostic and therapeutic applications in neuroscience. The presented prototype is made open-source.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 76%
Wireless Body Area Networks
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Wireless EEG System for Concurrent TMS-EEG-fMRI — Julian Maravilla, Ali M. Niknejad, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS