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MAGNETIC RESONANCE IDENTIFICATION TAGS FOR ULTRAFLEXIBLE ELECTRODES
Eminhan Oziland 9 co-authors
ETH Zurich
FENS Forum 2026 (2026)
Barcelona, Spain
Board PS01-07AM-389
Presentation
Date TBA
Board: PS01-07AM-389
Event Information
Poster Board
PS01-07AM-389
Poster
View posterAbstract
Ultra-flexible electrodes, due to their superior biocompatibility, are likely to lead the future of neuroprosthetics. However, identifying the locations of high-density ultra-flexible electrodes in the brain for accurately assigning neural signals to specific structures remains a major challenge. To address this, we developed magnetic resonance identification (MRID) -tags. Each ultra-flexible electrode bundle carries an MRID-tag with unique barcode patterns visible in MRI (MRIbarcodes) for identification of the bundle and the anatomical positions of individual electrodes. We generate the MRI-barcodes by patterning superparamagnetic iron-oxide nanoparticles into electrode fibers (10μm2) with dot-matrix nanoparticle coating technique. We chronically tested MRID-tagged ultra-flexible electrodes in vivo in the dorsal hippocampus of freely-moving rats (n=3), where distinct electrophysiological landmarks validated our electrode localization results. We were able to localize individual electrodes with a mean accuracy of 90 μm. MRID-tagged ultra-flexible electrodes demonstrated months-long recording stability with mean single-unit signal-to-noise ratios as high as 20.
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