Neural probe design for reduced tissue encapsulation in CNS

Seymour, John P.; Kipke, Daryl R.

doi:10.1016/j.biomaterials.2007.03.024

Cited by 412 publications

(389 citation statements)

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“…To reduce the number of inflammatory cells, an effort should be made to reduce the surface area of the implanted device (Seymour and Kipke, 2007;Skousen et al, 2011). Therefore, having an understanding of the fascicular organization of a nerve would provide the ability to manufacture devices that innervate the zones of interest while reducing the area of the biotic-abiotic interface outside of these areas.…”

Section: )mentioning

confidence: 99%

Differences Exist in the Left and Right Sciatic Nerves of Naïve Rats and Cats

Christensen

Tresco

2015

The Anatomical Record

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The sciatic nerve of rats and cats is commonly used in experimental models of peripheral nerve injury and repair, as well as experiments involving peripheral nerve electrode implantation. In such experiments, morphometric parameters from the implanted nerve are commonly evaluated and compared to control values obtained from the contralateral nerves. However, this may not be an appropriate approach as differences may naturally exist in the structure of the two nerves owing to developmental or behavioral asymmetry. Additionally, in the cat, baseline values for standard morphometric parameters are not well established. In this study, we characterized fascicle area, fiber count, fiber density, fiber packing, mean g-ratio, and fiber diameter distributions in the rat and cat, as well as investigated the potential for naturally occurring sided differences in these parameters in both species. We also investigated whether animal age or location along the nerve influenced these parameters. We found that sided or left/right leg differences exist in some parameters in both the rat and the cat, calling into question the validity of using the contralateral nerve as a control. We also found that animal age and location along the nerve can make significant differences in the parameters tested, establishing the importance of using control nerves from age-and behaviorally matched animals whose morphometric parameters are collected and compared from the same location. Anat Rec, 298:1492Rec, 298: -1501Rec, 298: , 2015. V C 2015 Wiley Periodicals, Inc.

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Section: )mentioning

confidence: 99%

Differences Exist in the Left and Right Sciatic Nerves of Naïve Rats and Cats

Christensen

Tresco

2015

The Anatomical Record

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“…These data can now be processed with linear unmixing software provided by the microscope manufacturer to compute a smaller number of essentially 'pure' channels containing negligible crosstalk from other fluorophores (Dickinson et al 2001;Garini et al, 2006;Zimmerman 2005). In summary, it is now possible to acquire: (i) sufficiently large 3D images to permit extensive measurements of cell-to-cell relationships; and (ii) sufficiently large number of imaging channels to provide independent labeling of all the components under study (Spataro et al, 2004;Lin et al, 2005a;Seymour & Kipke, 2007). In this report, we present 3D images with five channels corresponding to cell nuclei, neurons, microglia, astrocytes, and blood vessels (see Fig.…”

Section: Introductionmentioning

confidence: 99%

Associative image analysis: A method for automated quantification of 3D multi-parameter images of brain tissue

Bjornsson

Lin

Al-Kofahi

et al. 2008

Journal of Neuroscience Methods

103

111

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Brain structural complexity has confounded prior efforts to extract quantitative image-based measurements. We present a systematic 'divide and conquer' methodology for analyzing threedimensional (3D) multi-parameter images of brain tissue to delineate and classify key structures, and compute quantitative associations among them. To demonstrate the method, thick (~100 μm) slices of rat brain tissue were labeled using 3 -5 fluorescent signals, and imaged using spectral confocal microscopy and unmixing algorithms. Automated 3D segmentation and tracing algorithms were used to delineate cell nuclei, vasculature, and cell processes. From these segmentations, a set of 23 intrinsic and 8 associative image-based measurements was computed for each cell. These features were used to classify astrocytes, microglia, neurons, and endothelial cells. Associations among cells and between cells and vasculature were computed and represented as graphical networks to enable further analysis. The automated results were validated using a graphical interface that permits investigator inspection and corrective editing of each cell in 3D. Nuclear counting accuracy was >89%, and cell classification accuracy ranged from 81-92% depending on cell type. We present a software system named FARSIGHT implementing our methodology. Its output is a detailed XML file containing measurements that may be used for diverse quantitative hypothesis-driven and exploratory studies of the central nervous system.

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“…C, Photograph of a modular 128-site, three-dimensional array made from several multishank planar arrays (NeuroNexus Technologies). D, Open architecture probe designs to improve tissue integration [Seymour and Kipke (2007), their Fig. 1A].…”

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confidence: 99%

“…For example, advanced probe architectures (Fig. 1 D) (Seymour and Kipke, 2007), materials (Ludwig et al, 2006;Abidian and Martin, 2008), approaches to mitigate chronic reactive tissue responses (Shain et al, 2003;Spataro et al, 2005), and minimally damaging insertion techniques (Bjornsson et al, 2006;Johnson et al, 2007) are being investigated to create longerlasting interfaces for high-fidelity recording and stimulation. The engineering strategy is to use these and related advances to develop a design space to systematically result in progressively better implantable devices for chronic neural interfaces (e.g., consistent and measurable performance improvements with successive device versions).…”

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confidence: 99%

Advanced Neurotechnologies for Chronic Neural Interfaces: New Horizons and Clinical Opportunities

Kipke¹,

Shain²,

Buzsáki³

et al. 2008

J. Neurosci.

261

176

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IntroductionTechnological advances in neural interfaces are providing increasingly more powerful "toolkits" of designs, materials, components, and integrated devices for establishing high-fidelity chronic neural interfaces. For a broad class of neuroscience studies, the primary requirements of these interfaces include recording and/or stimulating from a number of discretely sampled volumes at requisite spatial resolutions for specific periods of time. Translational and clinical applications present additional requirements for safety, usability, reliability, patient acceptance, and cost effectiveness. Innovative solutions result from the constructive tension between ever-increasing application requirements and incorporation of technological advances into usable devices. The purpose of this minireview is to present snapshots of the current state-of-the-art in chronic, microscale neural interfaces by highlighting several leading neuroscience applications and discussing their implications for next-generation interface devices.

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Neural probe design for reduced tissue encapsulation in CNS

Cited by 412 publications

References 50 publications

Differences Exist in the Left and Right Sciatic Nerves of Naïve Rats and Cats

Differences Exist in the Left and Right Sciatic Nerves of Naïve Rats and Cats

Associative image analysis: A method for automated quantification of 3D multi-parameter images of brain tissue

Advanced Neurotechnologies for Chronic Neural Interfaces: New Horizons and Clinical Opportunities

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