VISUALIZATION OF FUNCTIONAL CONNECTIVITY IN BRAIN

大脑功能连接的可视化

• 批准号: 6282829
• 负责人: DAVID Allan ROTTENBERG
• 金额: $ 3.29万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-06-15 至 1999-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6282829
• 关键词: biomedical resource; female; human subject; magnetic resonance imaging; male; nervous system; positron emission tomography; statistics /biometry

This is part of a collaborative research program that fosters interactions between physicists, mathematicians, engineers, computer scientists, health informatics specialists and neuroscientists and lead to the design and implementation of "novel technological solutions to particular neuroscience questions. In their most general form, the neuroscience questions central to this grant may be formulated as follows: How can we identify, extract, quantify, classify and index biologically significant patterns from surface EEG recordings or from SPECT, PET and functional MRI (fMRI) data sets? Do these patterns yield insights into the functional organization of the brain, or provide quantitative descriptors of cognitive or disease states? Our basic hypothesis is that quantitative descriptions of spatial and temporal covariance patterns derived from SPECT, PET, EEG and fMRI data provide biologically relevant measures of functional connectivity in the brain. During the last year, we have collected and analyzed data on a common finger movement paradigm using 4 Tesla fMRI and PET.

这是合作研究计划的一部分，该计划旨在促进 物理学家、数学家、工程师、计算机之间的互动 科学家、健康信息学专家和神经科学家以及 导致“新技术”的设计和实施 特定神经科学问题的解决方案。 在他们最普遍的 形式上，这笔拨款的核心神经科学问题可能是 表述如下：我们如何识别、提取、量化、 根据表面脑电图对具有生物学意义的模式进行分类和索引 记录或 SPECT、PET 和功能 MRI (fMRI) 数据集？ 做 这些模式可以让我们深入了解企业的​​职能组织 大脑，或提供认知或疾病的定量描述符 州？ 我们的基本假设是，定量描述 来自 SPECT、PET、EEG 的空间和时间协方差模式 和功能磁共振成像数据提供了功能的生物学相关测量 大脑中的连通性。 去年，我们收集了 并使用 4 Tesla 分析了常见手指运动范例的数据 功能磁共振成像和 PET。