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Abstract #1528

Wireless EEG System for Concurrent TMS-EEG-fMRI

Daniel B Lovell1, Julian Maravilla1, Yu-Chi Lin1, Chunlei Liu1, Michael Lustig1, Ali M Niknejad1, and Kristofer S.J. Pister1
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States

Synopsis

Keywords: Multimodal, Multimodal, 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.

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