Magnetic Resonance Identification Tags for Ultra-flexible Electrodes

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 (MRI-barcodes) 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, where distinct electrophysiological landmarks validated our electrode localization results. We were able to localize individual electrodes with a mean accuracy of 83 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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Publication Details

Journal
Repository for Publications and Research Data (ETH Zurich)
Published
2025-05-08
DOI
https://doi.org/10.3929/ethz-c-000794070
Primary Topic
Neuroscience and Neural Engineering
Type
article
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article

Magnetic Resonance Identification Tags for Ultra-flexible Electrodes

Angeliki Vavladeli, Mehmet Fatih Yanik, Tansel Baran Yaşar, Wolfger von der Behrens et al.
Repository for Publications and Research Data (ETH Zurich)
Neuroscience and Neural Engineering
article

Magnetic Resonance Identification Tags for Ultra-flexible Electrodes

Angeliki Vavladeli, Mehmet Fatih Yanik, Tansel Baran Yaşar, Wolfger von der Behrens, Athina Apostolelli, Markus Marks, Eminhan Özil
article en

Abstract

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 (MRI-barcodes) 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, where distinct electrophysiological landmarks validated our electrode localization results. We were able to localize individual electrodes with a mean accuracy of 83 µm. MRID-tagged ultra-flexible electrodes demonstrated months-long recording stability with mean single-unit signal-to-noise ratios as high as 20.

Repository for Publications and Research Data (ETH Zurich)
Openalex Percentile: Top 33%
Neuroscience and Neural Engineering
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Magnetic Resonance Identification Tags for Ultra-flexible Electrodes — Angeliki Vavladeli, Mehmet Fatih Yanik, et al. · Repository for Publications and Research Data (ETH Zurich) (2025) | TGRS Research Map | TGRS