Automated analysis pipeline of whole-brain connectivity in magnetoencephalography

脑磁图中全脑连接的自动分析流程

• 批准号: 491631-2015
• 负责人: Doesburg, Sam
• 金额: $ 1.73万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=587005
• 关键词: Automated; analysis; pipeline; whole; brain

Magnetoencephalography (MEG) is a tool used to assess brain activity. It works by measuring the magnetic fields present within the human brain, these fields are causally altered by electrical currents in the brain. These currents originate from flow within the neurons, the core cell present within the brain. There are at present a large user base of researchers and clinicians that utilize MEG to assess theories of action perception, to the diagnosis of concussion. One stumbling block for users are the complex analysis steps that are required. In this collaboration between MISL (an MEG manufacturer) and Simon Fraser University, we aim to remove these difficulties. Using expertise uniquely positioned as being both the user and the manufacturer we aim to help ease the process of analysis by building a new toolbox that users can use during MEG data collection. Focusing on user design and innovative analytical approaches to streamline the MEG user interface and experience.

脑磁图（MEG）是一种用于评估大脑活动的工具。它的工作原理是测量 场存在于人类大脑中，这些场被大脑中的电流因果地改变。这些 电流源于神经元内的流动，神经元是大脑内的核心细胞。目前有 大量的研究人员和临床医生使用MEG来评估动作感知理论， 脑震荡的诊断用户的一个绊脚石是所需的复杂分析步骤。在这 MISL（MEG制造商）和西蒙弗雷泽大学之间的合作，我们的目标是消除这些 困难利用作为用户和制造商的独特定位的专业知识，我们的目标是帮助 通过建立一个新的工具箱，用户可以在MEG数据收集过程中使用，简化分析过程。聚焦 用户设计和创新的分析方法，以简化MEG用户界面和体验。