STTR Phase I: Portable Ultra-Resolution EEG for Improved Diagnosis and Treatment of Brain Disorders: Instrumentation and Algorithms

STTR 第一阶段：用于改进脑部疾病诊断和治疗的便携式超分辨率脑电图：仪器和算法

基本信息

批准号：
1843859
负责人：
Shawn Kelly
金额：
$ 22.5万
依托单位：
Precision Neuroscopics
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-02-15 至 2020-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1843859&HistoricalAwards=false
关键词：
STTR Phase Portable Ultra Resolution

项目摘要

This SBIR Phase I project will advance novel techniques for developing high-resolution noninvasive brain imaging systems, capable of recording unprecedented spatiotemporal resolution inferences of the brain activity for a portable system. These systems leverage novel fundamental analysis and results, and experimental demonstrations, that show that spatial resolution of Electroencephalography (EEG) is not saturated at densities of a few hundred electrodes, unlike what has been widely believed in clinical and neuroscience community. They also build on recent work by the PIs that enables faster and reliable acquisition of EEG signals. The success of the proposed work will help diagnose worsening brain injuries before the injury occurs. Brain injuries affect 1.7 million Americans every year. Commercially, it will enable higher resolution brain-machine interfaces for applications such as virtual reality interfacing and neuroprostheses, generating novel avenues for jobs and revenue through creation of an entirely new industry. This transdisciplinary effort brings together neuroscientists and engineers and the concepts developed in this effort will inform material for basic neuroscience and neuroengineering courses. The team will continue to publish and publicize their work at clinical conferences. One of the core employees will be a minority female who has contributed to the research, guided several other minority (and non-minority) female students, and now wants to lead the development end of this project.This effort builds a systematic platform that challenges the widely held belief that increasing electrode-densities of EEG to beyond a few hundred electrodes does not improve spatial resolution. There are several problems with the traditional EEG that the platform overcomes: (i) typically only 9-32 electrodes are used for clinical diagnoses and these are fundamentally limited to only providing poor spatial resolution; (ii) because traditional EEGs have low resolution, surgical treatments often require invasive procedures. E.g., for diagnosing severity or worsening of Traumatic Brain Injuries (TBI) by measuring parameters of cortical spreading depolarizations (CSDs), which are mediators of worsening brain injuries; (iii) long-term EEG measurements are cumbersome, and high-density systems can take hours of manual labor to install. The PIs' preliminary work provides strong evidence supporting the claim that ultra-high-density EEG will provide the first non-invasive and portable modality for high spatial and temporal resolution brain imaging. Novel brain-imaging algorithms will be developed and benchmarked against existing techniques and assessed using novel fundamental limits. Novel techniques will be deployed in the design of conductive sponges and in lowering power, enabling the platform to be portable and usable over long term. These improvements will be rigorously tested through simulations, experiments, and real data analysis.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.

这个SBIR I期项目将推进开发高分辨率非侵入性脑成像系统的新技术，能够记录便携式系统的大脑活动的前所未有的时空分辨率推断。这些系统利用了新的基本分析和结果以及实验证明，这些分析表明，脑电图（EEG）的空间分辨率在几百个电极的密度下尚未饱和，这与临床和神经科学界的广泛认为不同。他们还以PI的最新工作为基础，可以更快，可靠地获取EEG信号。拟议工作的成功将有助于诊断受伤发生之前脑损伤。脑部受伤每年影响170万美国人。从商业上讲，它将为诸如虚拟现实接口和神经propthes之类的应用提供更高的分辨率脑机界面，从而通过创建一个全新的行业来创造工作和收入的新途径。这项跨学科的努力汇集了神经科学家和工程师，这项工作中发展的概念将为基本的神经科学和神经工程课程提供信息。该团队将继续在临床会议上发布和宣传他们的工作。其中一位核心员工将是少数族裔女性，他们为这项研究做出了贡献，指导了其他几个少数（和非少数）女学生，现在希望领导该项目的发展终结。这项工作建立了一个系统性的平台，挑战了一个广泛的信念，即将EEG的电极严重增长到将EEG的一项挑战提高到几百个电极以上并不能改善空间分辨率。传统的脑电图克服了一些问题：（i）通常只使用9-32个电极进行临床诊断，并且从根本上限制了仅提供差的空间分辨率；（ii）由于传统的脑电图分辨率很低，因此手术治疗通常需要侵入性手术。例如，用于通过测量皮质扩散去极化（CSD）的参数来诊断严重程度或脑损伤的严重程度（TBI），这是脑损伤恶化的介体；（iii）长期的脑电图测量很麻烦，高密度系统可以花费数小时的手动劳动来安装。 PIS的初步工作提供了有力的证据，证明了超高密度脑电图将为高空间和时间分辨率大脑成像提供第一种非侵入性和便携式方式。新型的大脑成像算法将针对现有技术开发和基准测试，并使用新颖的基本限制进行评估。新颖的技术将部署在导电海绵的设计中和降低功率中，从而使平台能够长期移植和可用。这些改进将通过模拟，实验和实际数据分析对这些改进进行严格的测试。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估标准，被认为值得通过评估来获得支持。