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Tunneling microfiber electrode arrays for stable neural recording

用于稳定神经记录的隧道微纤维电极阵列

基本信息

批准号：
8807848
负责人：
Timothy James Gardner
金额：
$ 20.46万
依托单位：
BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-04-01 至 2016-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8807848
关键词：
Address Amputation Animal Experimentation Animal Model Animals Basic Science Beds Blood Vessels Brain Cells Cerebrovascular Circulation Chronic Communication Data Devices Disease Electrodes Encapsulated Environment Face Failure Fiber Future Geometry Gliosis Goals Health Histology Human Immune Implant Implanted Electrodes Individual Learning Life Limb structure Longevity Mechanics Methods Microelectrodes Mind Modeling Monitor Movement Neurons Neurosciences Neurosciences Research Organism Patients Pattern Process Property Prosthesis Relative (related person)Resistance Resolution Robotics Signal Transduction Spinal cord injury Stroke Synapses Technology Testing Time Tissues Translating Travel Variant Work base brain machine interface brain tissue carbon fiber cranium design fundamental research image reconstruction immune activation implantation improved in vivo in vivo imaging killings minimally invasive multi-electrode arrays neural prosthesis neurotransmission new technology novel prototype relating to nervous system research study response scale up tool two-photon

项目摘要

DESCRIPTION (provided by applicant): This project seeks to develop a minimally invasive electrode array for long term recording of brain activity, with single cell resolution. Multielectrode arrays are an essential tool in experimental neuroscience, yet current arrays are severely limited by a mismatch between large or stiff electrodes and the fragile environment of the brain. Chronically implanted electrodes cause ongoing damage to the brain, and an active process of rejection eventually silences neural signals. Failure of chronic implants over long time-scales makes it very challenging to study the neural basis of learning, and prohibits the implementation of long term stable brain machine interfaces for human patients. To minimize electrode damage, the size of implants must be reduced, but multichannel arrays built from the smallest electrodes are impossible to implant due to buckling of the individual fibers. The proposed electrode array solves this mechanical problem - achieving large channel count and sub-cellular (5 micron) individual electrode size in an bundle that strengthens each fiber through mutual support. During implant, however, the bundle splays apart and each fiber follows its own separate course into the brain, preserving the minimally invasive properties of the single fibers. Chronic recordings from prototype designs reveal stable signals, including multiunit recordings with time-scales of months that show minimal drift in neural firing patterns. This project seeks t document how the electrodes interact with vasculature during implant, what damage they cause over three month time-scales, and how these factors relate to the yield and stability of chronic recordings gathered continuously for three months. The methods involve in-vivo imaging of electrode insertion, chronic recording of neural signals in freely behaving animals, and histological analysis of neuronal health and signs of local immune activation near the implant. The anticipated result is that during insertion, individual fibers travel along their own paths of least resistance into the brain, leading to reduced vascular damage. On the timescales of chronic recordings, the anticipated result is improved tissue health and stable neural signals in close proximity to the electrode. Specific variations in experiments proposed here will inform future designs that seek to scale up the number of channels in the tunneling fiber array, providing an opportunity to track large ensembles of cells simultaneously. The near term application of this project will be seen in small animal studies where it is virtually impossible t track the firing patterns of ensembles of neurons through learning with existing large-scale electrodes. Advances focussed on this deliverable are likely to also translate into more stable recordings in larger organisms, with potential direct benefits to human brain machine interfaces.

描述（由申请人提供）：该项目旨在开发一种微创电极阵列，用于长期记录大脑活动，具有单细胞分辨率。多电极阵列是实验神经科学中的重要工具，但目前的阵列受到大或硬电极与大脑脆弱环境之间不匹配的严重限制。长期植入的电极会对大脑造成持续的损伤，而一个积极的排斥过程最终会使神经信号沉默。长期植入物的失效使得研究学习的神经基础非常具有挑战性，并且禁止为人类患者实现长期稳定的脑机接口。为了使电极损伤最小化，植入物的尺寸必须减小，但是由于单个纤维的屈曲，由最小电极构建的多通道阵列不可能植入。所提出的电极阵列解决了这个机械问题-在束中实现大通道计数和亚细胞（5微米）单独电极尺寸，其通过相互支撑来加强每个纤维。然而，在植入过程中，纤维束分开，每根纤维都遵循自己的单独路线进入大脑，保留了单根纤维的微创特性。从原型设计的慢性记录显示稳定的信号，包括多单位记录与时间尺度的几个月，显示最小的漂移神经放电模式。本项目旨在记录电极在植入期间如何与血管系统相互作用，它们在三个月的时间尺度上造成了什么样的损害，以及这些因素如何与连续收集三个月的慢性记录的产量和稳定性相关。这些方法涉及电极插入的体内成像、自由行为动物神经信号的长期记录以及植入物附近神经元健康和局部免疫激活迹象的组织学分析。预期的结果是，在插入过程中，单个纤维沿着它们自己的阻力最小的路径进入大脑，从而减少血管损伤。在长期记录的时间尺度上，预期的结果是改善组织健康和靠近电极的稳定神经信号。本文提出的实验中的具体变化将为未来的设计提供信息，这些设计旨在扩大隧道光纤阵列中的通道数量，从而提供同时跟踪大量细胞的机会。该项目的近期应用将在小动物研究中看到，在小动物研究中，几乎不可能通过使用现有的大规模电极学习来跟踪神经元集合的放电模式。专注于这一可交付成果的进展也可能转化为更大生物体中更稳定的记录，对人脑-机器接口具有潜在的直接好处。