Nanopowder molding method for creating implantable high-aspect-ratio electrodes on thin flexible substrates

Hu, Zhiyu; Zhou, Dao Min; Greenberg, Robert J.; Thundat, Thomas

doi:10.1016/j.biomaterials.2005.10.030

Cited by 23 publications

(12 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For cuff implants, electrodes must be well integrated with the thin insulating backing to prevent microscale delamination of the metal coating. [92] Nanoscale topology and/or coating with high aspect ratio features on the surface are known to improve charge injection in neurons, [501][502][503][504][505] and can certainly be added to it. Considering brain and spinal stimulation, the electrodes should also be of limited diameter because larger shaft implants have been shown to activate immune responses in greater extent.…”

Section: Future Perspectivesmentioning

confidence: 99%

Nanomaterials for Neural Interfaces

et al. 2009

View full text Add to dashboard Cite

This review focuses on the application of nanomaterials for neural interfacing. The junction between nanotechnology and neural tissues can be particularly worthy of scientific attention for several reasons: (i) Neural cells are electroactive, and the electronic properties of nanostructures can be tailored to match the charge transport requirements of electrical cellular interfacing. (ii) The unique mechanical and chemical properties of nanomaterials are critical for integration with neural tissue as long‐term implants. (iii) Solutions to many critical problems in neural biology/medicine are limited by the availability of specialized materials. (iv) Neuronal stimulation is needed for a variety of common and severe health problems. This confluence of need, accumulated expertise, and potential impact on the well‐being of people suggests the potential of nanomaterials to revolutionize the field of neural interfacing. In this review, we begin with foundational topics, such as the current status of neural electrode (NE) technology, the key challenges facing the practical utilization of NEs, and the potential advantages of nanostructures as components of chronic implants. After that the detailed account of toxicology and biocompatibility of nanomaterials in respect to neural tissues is given. Next, we cover a variety of specific applications of nanoengineered devices, including drug delivery, imaging, topographic patterning, electrode design, nanoscale transistors for high‐resolution neural interfacing, and photoactivated interfaces. We also critically evaluate the specific properties of particular nanomaterials—including nanoparticles, nanowires, and carbon nanotubes—that can be taken advantage of in neuroprosthetic devices. The most promising future areas of research and practical device engineering are discussed as a conclusion to the review.

show abstract

Section: Future Perspectivesmentioning

confidence: 99%

Nanomaterials for Neural Interfaces

et al. 2009

View full text Add to dashboard Cite

show abstract

“…These advances have led to more detailed and intricate studies in understanding how individual neurons interact and function as a network, leading to perception and action. In parallel, there have also been significant developments in brain stimulation approaches for treating various sensory, motor, and neurological disorders (Lozano and Hamani, 2004; Zhou and Greenbaum, 2009; Tierney et al, 2011). Two main examples are deep brain stimulation (DBS) for treating neurological disorders [e.g., Parkinson's or Essential Tremor; >75,000 DBS patients worldwide (Zrinzo et al, 2011)] and central auditory prostheses for hearing restoration [within the brainstem or midbrain; >1000 patients worldwide (Lim et al, 2011)].…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional brain reconstruction of in vivo electrode tracks for neuroscience and neural prosthetic applications

Markovitz¹,

Tang²,

Edge³

et al. 2012

Front. Neural Circuits

View full text Add to dashboard Cite

The brain is a densely interconnected network that relies on populations of neurons within and across multiple nuclei to code for features leading to perception and action. However, the neurophysiology field is still dominated by the characterization of individual neurons, rather than simultaneous recordings across multiple regions, without consistent spatial reconstruction of their locations for comparisons across studies. There are sophisticated histological and imaging techniques for performing brain reconstructions. However, what is needed is a method that is relatively easy and inexpensive to implement in a typical neurophysiology lab and provides consistent identification of electrode locations to make it widely used for pooling data across studies and research groups. This paper presents our initial development of such an approach for reconstructing electrode tracks and site locations within the guinea pig inferior colliculus (IC) to identify its functional organization for frequency coding relevant for a new auditory midbrain implant (AMI). Encouragingly, the spatial error associated with different individuals reconstructing electrode tracks for the same midbrain was less than 65 μm, corresponding to an error of ~1.5% relative to the entire IC structure (~4–5 mm diameter sphere). Furthermore, the reconstructed frequency laminae of the IC were consistently aligned across three sampled midbrains, demonstrating the ability to use our method to combine location data across animals. Hopefully, through further improvements in our reconstruction method, it can be used as a standard protocol across neurophysiology labs to characterize neural data not only within the IC but also within other brain regions to help bridge the gap between cellular activity and network function. Clinically, correlating function with location within and across multiple brain regions can guide optimal placement of electrodes for the growing field of neural prosthetics.

show abstract

“…First, by enhancing both the capacity to visualize and therefore study the behavior of interfaces between biological and implant materials (Wrobel et al 2008 ) . Second, by enhancing the ability of researchers to create highly functional and optimized interfaces between electronic and biological systems (Sarje and Thakor 2004 ;Hu et al 2006 ) .…”

Section: Visualizing and Structuring Neural Prosthetic Interfacesmentioning

confidence: 99%