Multimodal Imaging of the Brain's Dynamic Functional Connections

大脑动态功能连接的多模态成像

• 批准号: RGPIN-2016-04070
• 负责人: Goodyear, Bradley
• 金额: $ 1.97万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=632933
• 关键词: Multimodal; Imaging; Brain; Dynamic; Functional

Understanding and modeling brain networks constitutes a major research area in brain imaging and neuroscience. In our previous NSERC supported research program, we developed new functional magnetic resonance imaging (fMRI) and analysis methods to create more accurate images of the brain’s functional networks. FMRI, however, only tells us about brain activity by measuring blood flow. Electrical activity and tissue oxygen also change with brain activity, and they can be measured independently using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), respectively. However, the interrelationship between these measures is complicated by the fact that communication between brain regions is not static, but fluctuates on a time scale of seconds to minutes. Recording blood flow, electrical activity and tissue oxygen at the same time will allow us to better determine the organization of brain networks. We are seeking funding to extend our research program to bring these technologies together for the purposes of more accurate brain network imaging.

脑网络的理解和建模是脑成像和神经科学的一个重要研究领域。在我们之前的NSERC支持的研究项目中，我们开发了新的功能磁共振成像（fMRI）和分析方法，以创建更准确的大脑功能网络图像。然而，功能磁共振成像只能通过测量血流量来告诉我们大脑的活动。脑电活动和组织氧也随着脑活动的变化而变化，它们可以分别使用脑电图（EEG）和功能近红外光谱（fNIRS）独立测量。然而，由于大脑区域之间的交流不是静态的，而是在秒到分钟的时间尺度上波动，这些测量之间的相互关系变得复杂。同时记录血流、电活动和组织氧气将使我们能够更好地确定大脑网络的组织。我们正在寻求资金来扩展我们的研究项目，将这些技术结合在一起，以实现更准确的脑网络成像。