Realistic Simulations and Empirical Data: MEG Reconstructions of Time

现实模拟和经验数据：时间的 MEG 重建

• 批准号: 7389023
• 负责人: CHERYL J AINE
• 金额: $ 21.77万
• 依托单位: UNIVERSITY OF NEW MEXICO
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-02-05 至 2009-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7389023
• 关键词: Accounting; Algorithms; Animals; Area; Auditory; Brain; Brain Pathology; Brain region; Clinical Research; Communication; Complex; Computer software; Computers; Condition; Country; Data; Data Analyses; Data Set; Data Storage and Retrieval; Electromagnetics; Evaluation; Event; Exhibits; Functional Magnetic Resonance Imaging; Generations; Goals; Head; Human; Institutes; Knowledge; Laboratories; Location; Lymphocytic choriomeningitis virus; Magnetic Resonance Imaging; Manufacturer Name; Meta-Analysis; Methods; Mind; Modeling; Modification; Neurosciences Research; Noise; Numbers; Pathology; Patients; Physics; Physiology; Positron-Emission Tomography; Procedures; Protocols documentation; Purpose; Rate; Reading; Research; Research Personnel; Resolution; Secure; Signal Transduction; Simulate; Site; Source; Spatial Distribution; System; Techniques; Test Result; Testing; Time; United States; Visual; Work; Writing; day; design; hemodynamics; millisecond; neuroimaging; open source; programs; reconstruction; sensor; simulation; somatosensory; sound; tool

DESCRIPTION (provided by applicant): Comprehensive descriptions of pathology afforded by neuroimaging techniques require accurate reconstructions of both time and space. While hemodynamic techniques (fMRI and PET) have made significant contributions to health-related research by revealing the presence or absence of pathology in specific brain locations, pathology often exhibits itself first as a timing problem within and between brain regions (e.g., slowing or dysfunctional communication between brain areas). Magnetoencephalographic (MEG) methods can provide precise temporal information but the physics of this technique is complex and progress in this area has been slow. There are three primary manufacturers of the ~25 MEG systems in the United States, each of which has different hardware (pickup coils, sensor arrays, noise cancellation methods) and software, making it difficult for MEG researchers to: 1) directly compare simulation results testing their different analysis algorithms and 2) pool data across sites in order to acquire larger patient numbers. The goals of this project are as follows. Specific Aim 1 requires the generation of a large set of simulated visual, somatosensory and auditory MEG data using realistic source configurations garnered from our basic/clinical studies, embedded within real background activity and formatted for the 3 different commercial MEG systems. Four general types of analysis techniques (multidipole, spatio-temporal modeling, L2 minimum- norm, L1 minimum-norm, and beamformer methods) will be applied to the simulated data. Specific Aim 2 will test the same set of algorithms on empirical data (basic visual, auditory and somatosensory protocols) already acquired from three different MEG systems and from 5 subjects. The background MEG activity from the 5 subjects will be used in the simulations noted above. Specific Aim 3 proposes to finalize modifications to free software that can read, display and analyze data from the three MEG systems and to write the simulated and empirical data into Curry (a commercial package) and netCDF formats so other investigator across the country and world may access these data and tools for direct comparison with their results. A secure collaborative portal will be set up and maintained at The MIND Institute for this purpose. MEG methods for examining brain function provide unparalleled information concerning the timing of activity within and across brain regions. Many brain pathologies disturb this timing, so that activity is either delayed or brain regions do not work well together in a concerted fashion. This project provides a comprehensive evaluation of varied MEG tools that capitalize on this strength.

描述（由申请人提供）：神经影像学技术提供的病理学综合描述需要准确的时间和空间重建。虽然血液动力学技术（fMRI和PET）通过揭示特定脑位置中病理的存在或不存在而对健康相关研究做出了重大贡献，但病理通常首先表现为脑区域内和脑区域之间的时间问题（例如，大脑区域之间的通信减慢或功能障碍）。脑磁图（MEG）方法可以提供精确的时间信息，但这项技术的物理是复杂的，在这方面的进展一直缓慢。在美国，大约有25个MEG系统的主要制造商，每个制造商都有不同的硬件（拾波线圈，传感器阵列，噪声消除方法）和软件，这使得MEG研究人员很难：1）直接比较测试其不同分析算法的模拟结果，2）跨站点汇集数据，以获得更多的患者数量。该项目的目标如下。特定目标1要求使用从我们的基础/临床研究中获得的真实源配置生成大量模拟视觉、体感和听觉MEG数据，嵌入真实的背景活动中，并针对3种不同的商业MEG系统进行格式化。四种一般类型的分析技术（多偶极子，时空建模，L2最小范数，L1最小范数和波束形成器方法）将应用于模拟数据。具体目标2将在从3个不同MEG系统和5个受试者获得的经验数据（基本视觉、听觉和体感协议）上测试相同的算法集。来自5名受试者的背景MEG活动将用于上述模拟。具体目标3建议完成对自由软件的修改，该软件可以读取、显示和分析来自三个MEG系统的数据，并将模拟和经验数据写入咖喱（商业软件包）和netCDF格式，以便全国和世界各地的其他研究人员可以访问这些数据和工具，直接与他们的结果进行比较。为此，将在MIND研究所建立和维护一个安全的协作门户。脑磁图检查脑功能的方法提供了无与伦比的信息，有关活动的时间内和跨大脑区域。许多大脑病理会干扰这个时间，因此活动要么被延迟，要么大脑区域不能以协调一致的方式很好地协同工作。该项目提供了一个全面的评估各种MEG工具，利用这一优势。