权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

A Wireless Multiscale Distributed Interface to the Cortex

与皮质的无线多尺度分布式接口

基本信息

批准号：
8110556
负责人：
Karim G Oweiss
金额：
$ 50.89万
依托单位：
MICHIGAN STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-08-15 至 2014-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8110556
关键词：
Address Advanced Development Algorithms Animal Model Animals Area Behavior Benchmarking Brain Brain imaging Cavia Cell physiology Characteristics Communication Computer software Custom Data Devices Discipline Disease Electrodes Electronics Engineering Environment Functional Magnetic Resonance Imaging Goals Grant Health Human Imaging technology Implant In Vitro Investigation Learning Machine Learning Mediating Microelectrodes Monitor Motor Nervous system structure Neurobiology Neurons Neurosciences Outcome Paralysed Perception Performance Population Process Property Rattus Research Retinal Rodent Rodent Model Self-Help Devices Sensory Signal Transduction Slice Stimulus Stream System Telemetry Testing Time Wireless Technology awake base brain cell brain machine interface clinical application computerized data processing data acquisition data exchange density design disability implantation improved in vivo information processing microsystems nervous system disorder neural circuit operation prototype quantum relating to nervous system response subcutaneous tool

项目摘要

DESCRIPTION (provided by applicant): The development of advanced neuroprosthetic systems and brain-machine interfaces for high-capacity, real-time, bi-directional communication with the nervous system is a major challenge to the emerging neural engineering discipline. While recent advances in the fabrication of high-density microelectrode arrays (HDMEAs) for multiunit recording and stimulation have triggered numerous neurobiological discoveries, the resulting large data throughput and the variability of cortical responses over repeated trials preclude the ability to design a wireless, adaptive, fully implantable large-scale interface to the cortex. This severely limits the feasibility and space of experimental paradigms needed to improve our understanding of the nervous system functionality and characterize cortical responses in freely behaving subjects interacting naturally with their surroundings. The objective of this project is to develop a wireless interface to the cortex capable of processing simultaneously recorded neural signalsfrom 64 electrode channels in real time. The project has 3 aims: 1. Develop advanced signal processing algorithms for sensing and decoding neuronal response properties from distributed intra-cortical neural activity: 1) Optimize our existing signal processing algorithms for hardware implementation to extract the desired neural activity early in the data stream; 2) Develop new algorithms for decoding these responses to characterize the natural behavior of awake, behaving animal models. 2. Design low-power integrated circuits and wireless telemetry for a 64 channel system: 1) Optimize the design of a low power Neural Interface Node (NIN) module to feature wireless communication and powering capability for subcutaneous implantation; 2) Design and fabricate an extracranial Manager Interface Module (MIM) to permit: a) wireless powering and data exchange with up to 2 implanted NIN modules; b) wireless bidirectional exchange of data and control with a central base station. 3. Demonstrate the system functionality in vitro and vivo: 1) Build a 32 channel system and test its performance in vitro in retinal slices and in vivo in awake behaving rodents; 2) Demonstrate the real time functionality of a 64 channel system in vitro and explore its feasibility in vivo; 3) Optimize the entire system design, and benchmark it against a commercial 64 channel wired data acquisition system. PUBLIC HEALTH RELEVANCE: This project seeks to develop a wireless electronic microsystem to be implanted in the rat brain to continuously monitor neural signals when the rat is freely behaving in an open environment. This system will help understand how brain cells process information. This will help design assistive technology for people with severe paralysis.

描述（由申请人提供）：开发先进的神经假肢系统和脑机接口，用于与神经系统进行高容量、实时、双向通信，是新兴神经工程学科面临的主要挑战。虽然用于多单元记录和刺激的高密度微电极阵列（hdmea）制造的最新进展引发了许多神经生物学的发现，但由此产生的大数据吞吐量和反复试验中皮层反应的可变性阻碍了设计无线、自适应、完全可植入皮层的大规模接口的能力。这严重限制了实验范式的可行性和空间，这些实验范式需要提高我们对神经系统功能的理解，并表征自由行为受试者与周围环境自然互动时的皮层反应。该项目的目标是开发一种能够同时处理64个电极通道实时记录的神经信号的皮质无线接口。该项目有三个目标：1。开发先进的信号处理算法，从分布式皮质内神经活动中感知和解码神经元响应特性：1)优化现有的硬件实现信号处理算法，以便在数据流的早期提取所需的神经活动；2)开发新的算法来解码这些反应，以表征清醒、有行为的动物模型的自然行为。2. 设计64通道系统的低功耗集成电路和无线遥测：1)优化低功耗神经接口节点（NIN）模块的设计，使其具有无线通信和皮下植入供电能力；2)设计和制造一个颅外管理接口模块（MIM），允许：a)无线供电和数据交换，最多可植入2个NIN模块；B)与中央基站的无线双向数据和控制交换。3. 验证系统在体外和体内的功能：1)构建32通道系统，并在体外视网膜切片和清醒行为啮齿动物体内测试其性能；2)在体外演示64通道系统的实时功能，并探索其在体内的可行性；3)优化整个系统设计，并对商用64通道有线数据采集系统进行基准测试。公共卫生相关性：该项目旨在开发一种无线电子微系统，植入大鼠的大脑中，当大鼠在开放环境中自由活动时，该系统可以持续监测神经信号。这个系统将有助于了解脑细胞是如何处理信息的。这将有助于为严重瘫痪的人设计辅助技术。

项目成果

期刊论文数量（20）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Neuroplasticity subserving the operation of brain-machine interfaces.

DOI：
10.1016/j.nbd.2015.05.001
发表时间：
2015-11
期刊：
Neurobiology of disease
影响因子：
6.1
作者：
Oweiss KG;Badreldin IS
通讯作者：
Badreldin IS

Design and Optimization of a 3-Coil Inductive Link for Efficient Wireless Power Transmission.

DOI：
10.1109/tbcas.2011.2158431
发表时间：
2011-07-14
期刊：
IEEE transactions on biomedical circuits and systems
影响因子：
5.1
作者：
Kiani M;Jow UM;Ghovanloo M
通讯作者：
Ghovanloo M

A wideband dual-antenna receiver for wireless recording from animals behaving in large arenas.

DOI：
10.1109/tbme.2013.2247603
发表时间：
2013-07
期刊：
IEEE transactions on bio-medical engineering
影响因子：
0
作者：
Lee SB;Yin M;Manns JR;Ghovanloo M
通讯作者：
Ghovanloo M

An Inductively Powered Scalable 32-Channel Wireless Neural Recording System-on-a-Chip for Neuroscience Applications.

DOI：
10.1109/isscc.2010.5434028
发表时间：
2010
期刊：
Digest of technical papers. IEEE International Solid-State Circuits Conference
影响因子：
0
作者：
Lee SB;Lee HM;Kiani M;Jow UM;Ghovanloo M
通讯作者：
Ghovanloo M

A closed loop wireless power transmission system using a commercial RFID transceiver for biomedical applications.

闭环无线电力传输系统，使用商用 RFID 收发器，用于生物医学应用。