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  4. Customizing MRI‐Compatible Multifunctional Neural Interfaces through Fiber Drawing

Customizing MRI‐Compatible Multifunctional Neural Interfaces through Fiber Drawing

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10.1002-adfm.202104857.pdf

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Author(s)
Antonini, Marc‐Joseph
•
Sahasrabudhe, Atharva
•
Tabet, Anthony
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Schwalm, Miriam
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Rosenfeld, Dekel
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Garwood, Indie
•
Park, Jimin
•
Loke, Gabriel
•
Khudiyev, Tural
•
Kanik, Mehmet
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Date Issued
August 6, 2021
Journal
Advanced Functional Materials
Publisher
Wiley
Citation
Antonini, Marc‐Joseph, Sahasrabudhe, Atharva, Tabet, Anthony, Schwalm, Miriam, Rosenfeld, Dekel et al. 2021. "Customizing MRI‐Compatible Multifunctional Neural Interfaces through Fiber Drawing." Advanced Functional Materials, 31 (43).
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Author's final manuscript
Abstract
Fiber drawing enables scalable fabrication of multifunctional flexible fibers that integrate electrical, optical and microfluidic modalities to record and modulate neural activity. Constraints on thermomechanical properties of materials, however, have prevented integrated drawing of metal electrodes with low-loss polymer waveguides for concurrent electrical recording and optical neuromodulation. Here we introduce two fabrication approaches: (1) an iterative thermal drawing with a soft, low melting temperature (Tm) metal indium, and (2) a metal convergence drawing with traditionally non-drawable high Tm metal tungsten. Both approaches deliver multifunctional flexible neural interfaces with low-impedance metallic electrodes and low-loss waveguides, capable of recording optically-evoked and spontaneous neural activity in mice over several weeks. We couple these fibers with a light-weight mechanical microdrive (1g) that enables depth-specific interrogation of neural circuits in mice following chronic implantation. Finally, we demonstrate the compatibility of these fibers with magnetic resonance imaging (MRI) and apply them to visualize the delivery of chemical payloads through the integrated channels in real time. Together, these advances expand the domains of application of the fiber-based neural probes in neuroscience and neuroengineering.
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
McGovern Institute for Brain Research at MIT
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Department of Chemical Engineering
Koch Institute for Integrative Cancer Research at MIT
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Massachusetts Institute of Technology. Institute for Soldier Nanotechnologies
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Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/140312
DOI of Published Version
https://doi.org/10.1002/adfm.202104857
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