DataVXAdvanced Functional MaterialsPaper
journal article·2021-10Open access

Customizing MRI‐Compatible Multifunctional Neural Interfaces through Fiber Drawing

Marc‐Joseph Antonini, Atharva Sahasrabudhe, Anthony Tabet, Miriam Schwalm, Dekel Rosenfeld, Indie Garwood, Jimin Park, Gabriel Loke, Tural Khudiyev, Mehmet Kanik, Nathan Corbin, Andres Canales, Alan Jasanoff, Yoel Fink, Polina Anikeeva

Advanced Functional Materials· Volume 31· Issue 43
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Source abstract

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.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

PolymersBiomaterials

OpenAlex topics: Neuroscience and Neural Engineering · Photoreceptor and optogenetics research · Advanced Memory and Neural Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge MA 02139 USA

McGovern Institute for Brain Research Massachusetts Institute of Technology Cambridge MA 02139 USA

Harvard/MIT Health Sciences and Technology Graduate Program Cambridge MA 02139 USA

Department of Chemistry Massachusetts Institute of Technology Cambridge MA 02139 USA

Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology Cambridge MA 02139 USA

Department of Biological Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

Department of Materials Science and Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

Kinetik Therapeutics LLC Newton MA 02459 USA

Advanced Silicon Group Lowell MA 01854 USA

Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge MA 02139 USA

Department of Nuclear Science and Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

Advanced Functional Fabrics of America Cambridge MA 02139 USA

Institute for Soldier Nanotechnologies Massachusetts Institute of Technology Cambridge MA 02139 USA

Funding

National Institute of Neurological Disorders and Stroke · National Institutes of Health

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