Maximizing flexibility: Optimized neural probes and electronics for long term, high bandwidth recordings

最大限度地提高灵活性：优化的神经探针和电子设备可实现长期、高带宽记录

• 批准号: 10893838
• 负责人: Loren M Frank
• 金额: $ 3.53万
• 依托单位: RICE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10893838
• 关键词: 3-Dimensional; Address; Anatomy; Animal Model; Animals; Area; Behavior; Brain; Brain region; Callithrix; Characteristics; Chronic; Cicatrix; Cognition; Collection; Communities; Complex; Computer software; Development; Devices; Dimensions; Disease; Electrodes; Electronics; Electrophysiology (science); Feedback; Heterogeneity; Hour; Image; Imaging Techniques; Implant; Individual; Laboratories; Longevity; Macaca mulatta; Measurement; Mission; Modality; Modeling; Mus; Nerve Degeneration; Neurologic; Neurons; Neurosciences; Operative Surgical Procedures; Optical Methods; Optics; Pattern; Perception; Performance; Polymers; Population; Public Health; Rattus; Research; Research Personnel; Resolution; Site; Spices; Structure; System; Techniques; Technology; Testing; Thick; Time; Tissues; United States National Institutes of Health; Utah; Work; biomaterial compatibility; cell type; density; design; disorder prevention; experience; fabrication; flexibility; imaging modality; implantation; improved; in vivo; in vivo evaluation; information processing; innovation; instrumentation; lithography; meter; millisecond; minimally invasive; nanoelectronics; nanolithography; neural; neural circuit; neuromechanism; new technology; optical imaging; scale up; success; technology development; temporal measurement; tool; user-friendly

The brain is a massively interconnected network of specialized circuits. Three characteristics of these circuits make them particularly challenging: diversity of time scales, diversity of spatial scales, and heterogeneity. Understanding the brain therefore requires spanning these temporal and spatial scales and providing information about cell-types. We need to be able to record the activity of individual neurons across time to understand activity patterns on a millisecond timescale and how those patterns evolve with experience across hours, days, months and even years. We need to be able to record throughout a cortical region, spanning both different parts of the region as well as all layers, to understand both local and distributed information processing. We also need to be able to combine these dense and distributed recordings with imaging to take advantage of the complementary strengths of electrical and optical measurements. This is hindered by multiple challenges: 1) Current approaches lack the spatial extent (spanning multiple structures) required to examine three-dimensional or distributed networks in detail. 2) Current electrophysiological approaches (which do provide the millisecond resolution) typically lack the necessary lifetime to follow long-term dynamics. 3) Current electrophysiological approaches use rigid electrodes that are ill-suited to use with imaging techniques. The overall objective of this project is to optimize a suite of complementary technologies that can address these challenges for the community and make them ready for common use by the neuroscience community. Our central hypothesis is that our recently developed nanoelectronic thread (NET) devices, which have demonstrated biocompatibility, in vivo function longevity, high quality unit recording and compatibility with optical methods, are a potentially ideal candidate for understanding patterns of brain activity. We plan to develop a selection of NET probes and high-density arrays that are suitable for multiple brain regions in different spices. We will engage expert neuroscientists, allowing us to develop and optimize NETs that work across mouse, rat and marmoset, and to expedite the delivery of resulting technologies to the scientific community. We will pursue the following three specific aims: 1) To optimize NET probes for various brain regions and species.; 2) To optimize NET probes for high-density regional and distributed recordings; and 3) To determine the best devices for each species and brain regions. The approach is innovative, because the technology we will develop and put into common use has the potential to drive innovation throughout the field, enabling new, very high density recording studies and allowing investigators to track large ensembles of neurons in unprecedented details and time duration.

大脑是一个由专门电路组成的大规模互联网络。这些电路的三个特点 使它们特别具有挑战性：时间尺度的多样性，空间尺度的多样性和异质性。 因此，了解大脑需要跨越这些时间和空间尺度，并提供信息 关于细胞类型。我们需要能够记录单个神经元在不同时间的活动，以了解活动 以毫秒为时间尺度的模式，以及这些模式如何随着时间的推移而演变， 甚至好几年我们需要能够记录整个皮层区域，跨越大脑的两个不同部分， 区域以及所有层，以了解本地和分布式信息处理。我们也需要 联合收割机能够将这些密集和分散的记录与成像结合起来， 电子和光学测量的优势。这受到多重挑战的阻碍：1）目前的方法 缺乏检查三维或分布式系统所需的空间范围（跨越多个结构） 网络详细2)当前的电生理学方法（提供毫秒分辨率） 典型地缺乏跟随长期动态的必要寿命。3)当前的电生理学方法 使用不适合用于成像技术的刚性电极。该项目的总体目标是 优化一套补充技术，以解决社区面临的这些挑战， 它们已经准备好供神经科学界共同使用。我们的核心假设是， 开发的纳米电子线（NET）设备，已证明生物相容性，体内功能 寿命长，高质量的单位记录和与光学方法的兼容性，是一个潜在的理想候选人， 了解大脑活动的模式。我们计划开发一系列NET探针和高密度阵列 适用于不同的大脑区域。我们将聘请专家神经科学家，让我们 开发和优化适用于小鼠、大鼠和绒猴的NET， 为科学界带来的技术。我们将追求以下三个具体目标：1）优化 NET探测各种大脑区域和物种。2)为了优化高密度区域和 分布式记录; 3）确定每个物种和大脑区域的最佳设备。的方法 是创新的，因为我们将开发并投入普遍使用的技术有可能推动 整个领域的创新，使新的，非常高密度的记录研究，并允许研究人员， 以前所未有的细节和持续时间跟踪大量神经元。