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Excellence in Research: Fast Functional Imaging of Neural Networks with Nanoelectrode Arrays

卓越的研究：使用纳米电极阵列对神经网络进行快速功能成像

基本信息

批准号：
1831962
负责人：
Hargsoon Yoon
金额：
$ 49.97万
依托单位：
Norfolk State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2023-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1831962&HistoricalAwards=false
关键词：
Excellence Research Fast Functional Imaging

项目摘要

The objective of this collaborative research project is to develop a novel Electrical Impedance Tomography (EIT) imaging system which can simultaneously image multiple areas of brain including deep brain structures in behaving animals. This will enable, for the first time, chronic imaging of fast neural activity for deep brain structures and neuronal networks with spatio-temporal resolution of 1 ms and 100 micrometer. The PIs will validate it in a neuronal network in deep limbic and brainstem structures, but once developed it could be used anywhere in the brain. This EIT imaging technology for fast neural activity could lead to radical advances in understanding brain function and enable quantitative mathematical modeling and analysis of neural systems. This could aid the development of new treatment for neurological disorders like schizophrenia, depression and epilepsy, as well as advancing cognitive and computational neuroscience. This interdisciplinary research project will also enhance research capacity and promote the participation of underrepresented minority (URM) students in STEM education. Overall, this project will implement new technology and approaches that support our goal of increasing the participation and contributions of URM populations in neural engineering and in STEM, in general. Functional neural imaging is critically important to determine the group cellular events that are associated with the local neuro-physiological changes in neural networks. Recent functional neural imaging technologies have allowed the exploration of the brain at the cell-biological level for the understanding of the mechanisms of mentation and brain diseases. Despite various advances, no current neural imaging technologies meet the spatio-temporal resolution and imaging coverage required to measure functional connectivity and information processing across and between cortical and deep brain structures in behaving animals. The proposed system can perform functional imaging of group activity involved in functional networks. If successful, these efforts will produce a platform that will enhance fundamental understanding of underlying mechanisms in neuroscience. It is expected that the system to be developed can assess neural activity in various nodes of functional networks thereby bridging the gap between global process and individual cell activities and substantially extend our ability to probe functional networks in the brain. This project will address the challenges to the national competitiveness and sustained STEM global leadership that can be better met through the full utilization of all of the nation's talent and resources. Improving the state of diversity and inclusion in science and engineering will allow the full benefit of a well-educated and scientifically literate population in HBCUs. STEM and neural engineering research and education will prepare our URM students for the next generation of technology and will meet the strong demand from industry for a well-prepared work force and leaders equipped with the necessary scientific understanding of advanced technology.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该合作研究项目的目标是开发一种新型的电阻抗断层成像(EIT)成像系统，该系统可以同时对行为动物的大脑多个区域进行成像，包括脑深部结构。这将首次实现对大脑深层结构和神经网络的快速神经活动的慢性成像，时空分辨率为1ms和100微米。PI将在深层边缘和脑干结构的神经元网络中验证它，但一旦开发出来，它可以在大脑的任何地方使用。这种用于快速神经活动的EIT成像技术可能会在理解大脑功能方面带来根本性的进步，并使神经系统的定量数学建模和分析成为可能。这可能有助于开发治疗精神分裂症、抑郁症和癫痫等神经疾病的新疗法，并促进认知和计算神经科学的发展。这一跨学科研究项目还将提高研究能力，促进代表不足的少数群体(URM)学生参与STEM教育。总体而言，该项目将实施新的技术和方法，以支持我们的目标，即增加URM群体在神经工程和STEM中的参与和贡献。功能神经成像对于确定与神经网络中的局部神经生理变化相关的群组细胞事件至关重要。最近的功能神经成像技术使人们能够在细胞生物学水平上探索大脑，以了解精神状态和大脑疾病的机制。尽管取得了各种进展，但目前的神经成像技术还没有达到测量行为动物大脑皮质和深层结构之间的功能连通性和信息处理所需的时空分辨率和成像覆盖率。该系统可以对功能网络中涉及的群体活动进行功能成像。如果成功，这些努力将产生一个平台，将加强对神经科学潜在机制的基本理解。预计将开发的系统可以评估功能网络中各个节点的神经活动，从而弥合全局过程和单个细胞活动之间的差距，并极大地扩展我们探索大脑功能网络的能力。该项目将应对国家竞争力和STEM持续全球领导地位面临的挑战，通过充分利用国家所有的人才和资源可以更好地应对这些挑战。改善科学和工程领域的多样性和包容性状况将使HBCU中受过良好教育和受过科学教育的人口充分受益。干细胞和神经工程研究和教育将使我们的URM学生为下一代技术做好准备，并将满足行业对准备充分的劳动力和具备对先进技术的必要科学理解的领导者的强烈需求。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。