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Customizing MRI-Compatible Multifunctional Neural Interfaces through Fiber Drawing

delete2021-08-06
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OA
AI
M
Marc‐Joseph Antonini
A
Atharva Sahasrabudhe
A
Anthony Tabet
M
Miriam Schwalm
D
Dekel Rosenfeld
I
Indie C. Garwood
J
Jimin Park
G
Gabriel Loke
T
Tural Khudiyev
M
Mehmet Kanık
N
Nathan Corbin
A
Andrés Canales
A
Alan Jasanoff
Y
Yoel Fink
P
Polina Anikeeva *
DOI:10.1002/adfm.202104857delete
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Abstract

Abstract

En 中文
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, two fabrication approaches are introduced: 1) an iterative thermal drawing with a soft, low melting temperature (T-m) metal indium, and 2) a metal convergence drawing with traditionally non-drawable high T-m 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. These fibers are coupled with a light-weight mechanical microdrive (1 g) that enables depth-specific interrogation of neural circuits in mice following chronic implantation. Finally, the compatibility of these fibers with magnetic resonance imaging is demonstrated and they are applied 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.
Keywords:
fibers
magnetic resonance imaging
microdrives
multifunctional neural probes
thermal drawing
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Journal

Advanced Functional Materials cover
Advanced Functional Materials
IF:
19
Papers:
3.4W
Citations:
32.1W

Organization

H
Harvard University
Scholars:
26.5W
Papers: 22.0W
Citations: 28.7W