Next-generation probes, particles, and proteins for neural interfacing

Rivnay, Jonathan; Wang, Shuangfeng; Fenno, Lief E.; Deisseroth, Karl; Malliaras, George G.

doi:10.1126/sciadv.1601649

Cited by 395 publications

(386 citation statements)

References 246 publications

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“…1D nanostructures such as nanotubes, nanowires, and vertical core‐shell heterostructures are attractive building block materials to improve performance in various applications, including electronic and optoelectronic devices, electrophysiological signal detection, energy storage, and conversion . The formation of high‐density and spatially oriented forest‐like nanostructures is central in many of the mentioned applications due to a significantly increased surface‐to‐volume ratio in comparison to conventional bulk materials.…”

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confidence: 99%

Effects of Conformal Nanoscale Coatings on Thermal Performance of Vertically Aligned Carbon Nanotubes

Silvestri

Riccio

Poelma

et al. 2018

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The high aspect ratio and the porous nature of spatially oriented forest-like carbon nanotube (CNT) structures represent a unique opportunity to engineer a novel class of nanoscale assemblies. By combining CNTs and conformal coatings, a 3D lightweight scaffold with tailored behavior can be achieved. The effect of nanoscale coatings, aluminum oxide (Al O ) and nonstoichiometric amorphous silicon carbide (a-SiC), on the thermal transport efficiency of high aspect ratio vertically aligned CNTs, is reported herein. The thermal performance of the CNT-based nanostructure strongly depends on the achieved porosity, the coating material and its infiltration within the nanotube network. An unprecedented enhancement in terms of effective thermal conductivity in a-SiC coated CNTs has been obtained: 181% compared to the as-grown CNTs and Al O coated CNTs. Furthermore, the integration of coated high aspect ratio CNTs in an epoxy molding compound demonstrates that, next to the required thermal conductivity, the mechanical compliance for thermal interface applications can also be achieved through coating infiltration into foam-like CNT forests.

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mentioning

confidence: 99%

Effects of Conformal Nanoscale Coatings on Thermal Performance of Vertically Aligned Carbon Nanotubes

Silvestri

Riccio

Poelma

et al. 2018

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“…In these approaches, the particles form hybrid interfaces with neurons, as we call bio-hybrids. These non-genetic and bio-hybrid enabled neuromodulations can be more generally applied and thus may be extensively adopted in the future [40, 43]. …”

Section: Constructing Smart Bio-hybrids For Neuroprosthesesmentioning

confidence: 99%

Biomimetic approaches toward smart bio-hybrid systems

et al. 2018

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Bio-integrated materials and devices can blur the interfaces between living and artificial systems. Microfluidics, bioelectronics and engineered nanostructures, with close interactions with biology at the cellular or tissue levels, have already yielded a spectrum of new applications. Many new designs emerge, including those of organ-on-a-chip systems, biodegradable implants, electroceutical devices, minimally invasive neuro-prosthetic tools, and soft robotics. In this review, we highlight a few recent advances on the fabrication and application of the smart bio-hybrid systems, with a particular emphasis on the three-dimensional (3D) bio-integrated devices that mimick the 3D feature of tissue scaffolds. Moreover, neurons integrated with engineered nanostructures for wireless neuromodulation and dynamic neural output will be briefly discussed. We will also go over the progress in the construction of cell-enabled soft robotics, where a tight coupling of the synthetic and biological parts is crucial for efficient functions. Finally, we summarize the approaches for enhancing bio-integration with biomimetic micro- and nanostructures.

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“…[36][37][38] Therefore, numerous studies have been conducted to optimize flexibility and geometrical structure of different substrates for future implants. [39][40][41][42][43][44][45][46] However, adding electronic functionality to soft substrate materials remains difficult due to technical limitations arising from standard fabrication methods. Recently, bioactive coating of MEAs using hydrogels has been introduced in an effort to overcome the mechanical mismatch of the metal-biological interface.…”

Section: Introductionmentioning

confidence: 99%

Printed microelectrode arrays on soft materials: from PDMS to hydrogels

et al. 2018

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Microelectrode arrays (MEAs) provide promising opportunities to study electrical signals in neuronal and cardiac cell networks, restore sensory function, or treat disorders of the nervous system. Nevertheless, most of the currently investigated devices rely on silicon or polymer materials, which neither physically mimic nor mechanically match the structure of living tissue, causing inflammatory response or loss of functionality. Here, we present a new method for developing soft MEAs as bioelectronic interfaces. The functional structures are directly deposited on PDMS-, agarose-, and gelatin-based substrates using ink-jet printing as a patterning tool. We demonstrate the versatility of this approach by printing high-resolution carbon MEAs on PDMS and hydrogels. The soft MEAs are used for in vitro extracellular recording of action potentials from cardiomyocyte-like HL-1 cells. Our results represent an important step toward the design of next-generation bioelectronic interfaces in a rapid prototyping approach.npj Flexible Electronics (2018) 2:15 ;

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Next-generation probes, particles, and proteins for neural interfacing

Abstract: Multimodal and multidisciplinary approaches lead to next-generation technologies for reading and modulating neural function.

Cited by 395 publications

References 246 publications

Effects of Conformal Nanoscale Coatings on Thermal Performance of Vertically Aligned Carbon Nanotubes

Effects of Conformal Nanoscale Coatings on Thermal Performance of Vertically Aligned Carbon Nanotubes

Biomimetic approaches toward smart bio-hybrid systems

Printed microelectrode arrays on soft materials: from PDMS to hydrogels

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