EEG Data Monitoring System Used in Conjunction with fMRI

脑电图数据监测系统与功能磁共振成像结合使用

• 批准号: 6585309
• 负责人: WILLIAM A JOHNSON
• 金额: $ 9.99万
• 依托单位: TECHEN, INC.
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-01 至 2003-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6585309
• 关键词: bioimaging /biomedical imaging; biomedical equipment development; brain electrical activity; brain imaging /visualization /scanning; cardiography; clinical research; computer program /software; computer system design /evaluation; computer system hardware; electroencephalography; functional magnetic resonance imaging; human subject; patient monitoring device; phantom model

DESCRIPTION (provided by applicant): In the United States, approximately 600,000 patients have epilepsy uncontrolled by medication [29]. Approximately 3,000 of these patients every year in the USA are treated surgically to relieve from medically refractory seizures [48]. The main goals of the proposed project is to develop and demonstrate the feasibility of data acquisition of clean EEG brain signals in conjunction with MRI, using fields up to a maximum of seven (7) Tesla. The simultaneous measurement of fMRI and EEG will enable neuroscientists to study various physiological brain states such as (a) EEG a-waves, (b) sleep, and (c) anesthesia and pharmacologically induced changes of brain activity, leading to more useful diagnostic procedures. Electroencephalography (EEG) and functional MRI (fMRI) provide complementary information about the timing and location of brain processes. Understanding brain processing requires both types of data. We aim to (1) develop DSP hardware and software (firmware) for noise cancellation to use in the existing prototype for simultaneous EEG and MRI acquisition system based on an adaptive filtering technique; (2) test and improve the system with the use of a special phantom with a piezo-electric transducer to mimic Ballistocardiogram noise; (3) test the real-time version of the adaptive filter on the data acquired. While the main goal of this project is to develop hardware and signal-processing code for the EEG system for research studies in conjunction and simultaneously with fMRI, the system will also have value for the basic science community interested in functional brain imaging, and could have important implications for the monitoring of neuronal activity in other clinical populations (e.g., epilepsy, migraine, coma/neurology ICU, stroke).

描述（由申请人提供）：在美国，大约60万例患者无法控制药物[29]。 每年在美国，大约有3,000名患者接受手术治疗，以减轻医学难治性癫痫发作[48]。 拟议项目的主要目标是使用最多七（7）个特斯拉的字段来开发和证明与MRI结合使用的清洁EEG脑信号与MRI结合使用的可行性。 fMRI和EEG的同时测量将使神经科学家能够研究（a）脑电图A波，（b）睡眠以及（c）麻醉和药理学诱发大脑活动的变化，导致更有用的诊断程序。脑电图（EEG）和功能性MRI（fMRI）提供了有关大脑过程的时间和位置的补充信息。了解大脑处理需要两种类型的数据。我们的目标是（1）开发DSP硬件和软件（固件），以基于自适应过滤技术的同时脑电图和MRI采集系统，以用于噪声消除噪声； （2）使用与压电电传感器使用特殊幻影测试和改进系统 ballistarcardiogram噪声； （3）在获取的数据上测试自适应过滤器的实时版本。 While the main goal of this project is to develop hardware and signal-processing code for the EEG system for research studies in conjunction and simultaneously with fMRI, the system will also have value for the basic science community interested in functional brain imaging, and could have important implications for the monitoring of neuronal activity in other clinical populations (e.g., epilepsy, migraine, coma/neurology ICU, stroke).