Modular Integration of Hydrogel Neural Interfaces

Thermal drawing has been recently leveraged to yield multifunctional, fiber-based neural probes at near kilometer length scales. Despite its promise, the widespread adoption of this approach has been impeded by (1) material compatibility requirements and (2) labor-intensive interfacing of functional...

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Main Authors: Tabet, Anthony, Antonini, Marc-Joseph, Sahasrabudhe, Atharva, Park, Jimin, Rosenfeld, Dekel, Koehler, Florian, Yuk, Hyunwoo, Hanson, Samuel, Stinson, Jordan, Stok, Melissa, Zhao, Xuanhe, Wang, Chun, Anikeeva, Polina
Other Authors: Massachusetts Institute of Technology. Department of Materials Science and Engineering
Format: Article
Language:English
Published: American Chemical Society (ACS) 2022
Online Access:https://hdl.handle.net/1721.1/139769
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author Tabet, Anthony
Antonini, Marc-Joseph
Sahasrabudhe, Atharva
Park, Jimin
Rosenfeld, Dekel
Koehler, Florian
Yuk, Hyunwoo
Hanson, Samuel
Stinson, Jordan
Stok, Melissa
Zhao, Xuanhe
Wang, Chun
Anikeeva, Polina
author2 Massachusetts Institute of Technology. Department of Materials Science and Engineering
author_facet Massachusetts Institute of Technology. Department of Materials Science and Engineering
Tabet, Anthony
Antonini, Marc-Joseph
Sahasrabudhe, Atharva
Park, Jimin
Rosenfeld, Dekel
Koehler, Florian
Yuk, Hyunwoo
Hanson, Samuel
Stinson, Jordan
Stok, Melissa
Zhao, Xuanhe
Wang, Chun
Anikeeva, Polina
author_sort Tabet, Anthony
collection MIT
description Thermal drawing has been recently leveraged to yield multifunctional, fiber-based neural probes at near kilometer length scales. Despite its promise, the widespread adoption of this approach has been impeded by (1) material compatibility requirements and (2) labor-intensive interfacing of functional features to external hardware. Furthermore, in multifunctional fibers, significant volume is occupied by passive polymer cladding that so far has only served structural or electrical insulation purposes. In this article, we report a rapid, robust, and modular approach to creating multifunctional fiber-based neural interfaces using a solvent evaporation or entrapment-driven (SEED) integration process. This process brings together electrical, optical, and microfluidic modalities all encased within a copolymer comprised of water-soluble poly(ethylene glycol) tethered to water-insoluble poly(urethane) (PU-PEG). We employ these devices for simultaneous optogenetics and electrophysiology and demonstrate that multifunctional neural probes can be used to deliver cellular cargo with high viability. Upon exposure to water, PU-PEG cladding spontaneously forms a hydrogel, which in addition to enabling integration of modalities, can harbor small molecules and nanomaterials that can be released into local tissue following implantation. We also synthesized a custom nanodroplet forming block polymer and demonstrated that embedding such materials within the hydrogel cladding of our probes enables delivery of hydrophobic small molecules in vitro and in vivo. Our approach widens the chemical toolbox and expands the capabilities of multifunctional neural interfaces.
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spelling mit-1721.1/1397692023-01-20T16:34:38Z Modular Integration of Hydrogel Neural Interfaces Tabet, Anthony Antonini, Marc-Joseph Sahasrabudhe, Atharva Park, Jimin Rosenfeld, Dekel Koehler, Florian Yuk, Hyunwoo Hanson, Samuel Stinson, Jordan Stok, Melissa Zhao, Xuanhe Wang, Chun Anikeeva, Polina Massachusetts Institute of Technology. Department of Materials Science and Engineering McGovern Institute for Brain Research at MIT Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Massachusetts Institute of Technology. Research Laboratory of Electronics Massachusetts Institute of Technology. Department of Chemical Engineering Koch Institute for Integrative Cancer 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 Mechanical Engineering Massachusetts Institute of Technology. Department of Biological Engineering Thermal drawing has been recently leveraged to yield multifunctional, fiber-based neural probes at near kilometer length scales. Despite its promise, the widespread adoption of this approach has been impeded by (1) material compatibility requirements and (2) labor-intensive interfacing of functional features to external hardware. Furthermore, in multifunctional fibers, significant volume is occupied by passive polymer cladding that so far has only served structural or electrical insulation purposes. In this article, we report a rapid, robust, and modular approach to creating multifunctional fiber-based neural interfaces using a solvent evaporation or entrapment-driven (SEED) integration process. This process brings together electrical, optical, and microfluidic modalities all encased within a copolymer comprised of water-soluble poly(ethylene glycol) tethered to water-insoluble poly(urethane) (PU-PEG). We employ these devices for simultaneous optogenetics and electrophysiology and demonstrate that multifunctional neural probes can be used to deliver cellular cargo with high viability. Upon exposure to water, PU-PEG cladding spontaneously forms a hydrogel, which in addition to enabling integration of modalities, can harbor small molecules and nanomaterials that can be released into local tissue following implantation. We also synthesized a custom nanodroplet forming block polymer and demonstrated that embedding such materials within the hydrogel cladding of our probes enables delivery of hydrophobic small molecules in vitro and in vivo. Our approach widens the chemical toolbox and expands the capabilities of multifunctional neural interfaces. 2022-01-27T14:58:57Z 2022-01-27T14:58:57Z 2021 2022-01-27T14:53:14Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/139769 Tabet, Anthony, Antonini, Marc-Joseph, Sahasrabudhe, Atharva, Park, Jimin, Rosenfeld, Dekel et al. 2021. "Modular Integration of Hydrogel Neural Interfaces." ACS Central Science, 7 (9). en 10.1021/ACSCENTSCI.1C00592 ACS Central Science Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf American Chemical Society (ACS) ACS
spellingShingle Tabet, Anthony
Antonini, Marc-Joseph
Sahasrabudhe, Atharva
Park, Jimin
Rosenfeld, Dekel
Koehler, Florian
Yuk, Hyunwoo
Hanson, Samuel
Stinson, Jordan
Stok, Melissa
Zhao, Xuanhe
Wang, Chun
Anikeeva, Polina
Modular Integration of Hydrogel Neural Interfaces
title Modular Integration of Hydrogel Neural Interfaces
title_full Modular Integration of Hydrogel Neural Interfaces
title_fullStr Modular Integration of Hydrogel Neural Interfaces
title_full_unstemmed Modular Integration of Hydrogel Neural Interfaces
title_short Modular Integration of Hydrogel Neural Interfaces
title_sort modular integration of hydrogel neural interfaces
url https://hdl.handle.net/1721.1/139769
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