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The Tissue-Engineered Electronic Nerve Interface (TEENI)

组织工程电子神经接口 (TEENI)

基本信息

批准号：
10402785
负责人：
Jack W Judy
金额：
$ 58.67万
依托单位：
UNIVERSITY OF FLORIDA
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-15 至 2024-10-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10402785
关键词：
3-Dimensional Action Potentials Adhesions Adverse effects Aging Amputation Amputees Axon Basal lamina Biological Markers Brain Caliber Cellular Assay Cellular Morphology Charge Chronic Cicatrix Data Dependence Devices Dimensions Electrodes Electrophysiology (science)Engineering Environment Extracellular Matrix Fiber Film Foreign Bodies Formulation Foundations Freedom Geometry Goals Hand High temperature of physical object Histologic Histology Human Hydrogels Hydrogen Peroxide Implant In Vitro Length Light Limb Prosthesis Limb structure Link Magnetism Mechanics Metals Methods Microelectrodes Microscopy Mission Modeling Motor Movement Natural regeneration Nerve Nerve Fibers Nerve Regeneration Nerve Tissue Neurons Noise Operative Surgical Procedures Pathway interactions Performance Peripheral Nerves Phase Polymers Population Process Property Protocols documentation Quality of life Ranvier&apos s Nodes Rattus Reporting Research Resolution Sampling Schwann Cells Sensory Sensory Receptors Signal Transduction Small Intestinal Submucosa Source Spinal Ganglia Surface Surgical sutures System Technology Testing Thick Thinness Time Tissue Engineering Tissues Titanium United States National Institutes of Health Width arm movement axon regeneration base biocompatible polymer brain tissue capsule cell motility clinically translatable cost crosslink density design disability electric impedance experimental study hydrogel scaffold implantation improved in vivo insight microdevice multi-electrode arrays regenerative regenerative tissue relating to nervous system response scaffold sciatic nerve silicon carbide

项目摘要

PROJECT SUMMARY: For amputees to exploit the full capability of state-of-the-art prosthetic limbs with rapid fine-movement control and high- resolution sensory percepts, a nerve-interface with a large number of reliable and independent channels of motor and sensory information is needed. The strongest signal sources in nerves are the nodes of Ranvier, which are essentially distributed randomly within a small 3-D volume. Thus, to comprehensively engage with the electrical activity of a nerve, a neural interface should interrogate a nerve in a 3-D volume of the same scale. To date, the clinical translatability, performance, and/or operational lifetime of all existing nerve-interfaces are either: limited to low channel counts and/or non-3-D electrode arrangements, capable of detecting single-unit activity at only very low signal amplitudes that are often swamped by noise, and/or trigger a foreign body response linked to diminished channel performance over time. Our paradigm-shifting approach for 3-D scalable nerve interfaces is to integrate a stack of multi-electrode thin-film polyimide- metal electrode arrays (“threads”) into tissue-engineered biodegradable extracellular-matrix-based hydrogel nerve scaffold. We call this new class of neural interface Tissue-Engineered Electronic Nerve Interfaces (TEENI). In preliminary studies we demonstrated that we can (1) microfabricate multi-electrode arrays that can survive high- temperature reactive-accelerated aging (RAA) soak tests through the use of amorphous silicon-carbide and titanium adhesion layers between the metal and polyimide layers, (2) form a 3-D array of electrodes by integrating a stack of polymer-metal multi-electrode arrays into an extracellular-matrix-based hydrogel scaffold wrapped with small-intestinal submucosa (SIS) to support the hydrogel, provide suturable ends for attachment to the nerve, and facilitate easy surgical handling and implantation without limiting the design of the electrode array or damaging it, (3) achieve robust regeneration of vasculature and neural fibers into the TEENI scaffold, and (4) obtain chronic recordings of single-unit activity inside TEENI implants. However, we made two observations that motivated the specific aims for this proposal. First, we observed a tight tissue response around each thread that that could limit the density of 3-D TEENI multi- electrode-thread integration. Second, we observed that only a fraction of the regenerated nerve tissue preferentially grew along the microfabricated multi-electrode arrays, with the remainder growing along the inner surface of the SIS wrap and with incompletely degraded hydrogel between the two. In Specific Aim 1 we propose to reduce the size of the foreign body response in the same manner it has been achieved with microfabricated probes implanted into brain tissue: reduce the width and thickness of the implant to ~10 µm and ~1 µm respectively. In Specific Aim 2 we propose to use microchannel-templated hydrogels to increase the number and uniformity of axons and Schwann cells regenerating near the TEENI microfabricated multi-electrode arrays. To gain unique insight into the performance of TEENIs, we will visualize the 3-D distribution of electrodes, nodes, axons, vasculature, and any tissue response around the interface inside the regenerated nerve by employing device-capture histology, CLARITY, and light sheet microscopy.

项目总结:

项目成果

期刊论文数量（8）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

in vitro Reactive-Accelerated-Aging (RAA) Assessment of Tissue-Engineered Electronic Nerve Interfaces (TEENI).

DOI：
10.1109/embc.2018.8513458
发表时间：
2018-07
期刊：
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子：
0
作者：
Kuliasha CA;Judy JW
通讯作者：
Judy JW

Microtopographical patterns promote different responses in fibroblasts and Schwann cells: A possible feature for neural implants.

DOI：
10.1002/jbm.a.37007
发表时间：
2021-01
期刊：
Journal of biomedical materials research. Part A
影响因子：
0
作者：
Mobini S;Kuliasha CA;Siders ZA;Bohmann NA;Jamal SM;Judy JW;Schmidt CE;Brennan AB
通讯作者：
Brennan AB

Tissue-Engineered Peripheral Nerve Interfaces.