Conductivity Analysis for Improved High-Resolution EEG

电导率分析可改善高分辨率脑电图

• 批准号: 7345246
• 负责人: Sergei Turovets
• 金额: $ 8.54万
• 依托单位: CEREBRAL DATA SYSTEMS, INC.
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-10-13 至 2007-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7345246
• 关键词: Conductivity; Analysis; Improved; Resolution; EEG

DESCRIPTION (provided by applicant): Electroencephalography (EEG) is an indispensable neurological diagnostic tool in terms of fast time scale, portability, and cost efficiency. Improved spatial resolution of EEG measures would greatly benefit clinical and research applications, including stroke, epilepsy, and cognitive studies. Dense-array EEG recordings can be used to localize cortical function, providing a unique opportunity for monitoring brain activity both in space and time. Localizing brain function using EEG can be further optimized by use of realistic head models and incorporating accurate conductivity estimates for each tissue type of the head model. Lack of accurate skull conductivity information is particularly problematic given the variations in skull development from infancy through adolescence. The goal of this project is to develop technology for conductivity estimation to guide EEG source localization. This Phase I project will quantify systematic bias in EEG source localization due to conductivity misspecifications and structural uncertainties and demonstrate the feasibility of noninvasive conductivity estimation of major head tissues using parameterized electrical impedance tomography measurements and realistic head geometry in computational models. This will lead to development of a product that will be able to non- invasively determine tissue conductivities, and when coupled with dense-array EEG, will provide unique functional information about brain state. The product innovation proposed in this project would improve the utility of EEG to not only perform functional assessment of the brain but also to accurately localize brain function. This technology will be affordable and portable. Consequently, EEG will be applicable to the management of many neurological disorders, such as epilepsy and stroke, which require acute assessment as well as continuous brain monitoring.

描述（由申请人提供）：脑电图（EEG）在快速时间尺度、便携性和成本效率方面是一种不可或缺的神经诊断工具。脑电图测量的空间分辨率的提高将极大地有利于临床和研究应用，包括中风、癫痫和认知研究。密集阵列脑电图记录可用于定位皮质功能，为监测大脑的空间和时间活动提供独特的机会。通过使用真实的头部模型并结合头部模型的每种组织类型的准确电导率估计，可以进一步优化使用脑电图定位大脑功能。考虑到从婴儿期到青春期颅骨发育的变化，缺乏准确的颅骨电导率信息尤其成问题。该项目的目标是开发电导率估计技术以指导脑电图源定位。该第一阶段项目将量化由于电导率错误和结构不确定性而导致的脑电图源定位的系统偏差，并证明使用参数化电阻抗断层扫描测量和计算模型中的真实头部几何形状对主要头部组织进行无创电导率估计的可行性。这将导致开发出一种能够非侵入性地确定组织电导率的产品，并且当与密集阵列脑电图结合时，将提供有关大脑状态的独特功能信息。该项目提出的产品创新将提高脑电图的实用性，不仅可以对大脑进行功能评估，还可以准确定位大脑功能。这项技术将是经济实惠且便携的。因此，脑电图将适用于许多神经系统疾病的治疗，例如癫痫和中风，这些疾病需要急性评估和持续的大脑监测。