Multimodal Imaging of the Brain's Dynamic Functional Connections

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支持的研究计划中，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，fMRI只能通过测量血流量来告诉我们大脑的活动情况。电活动和组织氧也随着大脑活动而变化，它们可以分别使用脑电(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止的，而是在几秒到几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起来。同时记录血流、电活动和组织氧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，以扩大我们的研究计划，将这些技术结合在一起，以实现更准确的大脑网络成像。 我的研究计划的长期目标是开发成像技术，以更好地了解人脑的组织和功能。我的总体假设是，同时记录血流、电活动和组织氧，以及解释大脑区域交流的动态性质的数据分析技术，将更准确地确定大脑功能网络。我的具体目标是开发成像技术，以记录和分析使用多种技术(fMRI、EEG、fNIRS)收集的大脑活动信号，以便生成大脑功能网络的准确图像： 1.我们将开发新的功能磁共振成像方法以及结合功能连接的动态性质的新分析方法，以更准确地确定大脑网络。 2.我们将开发新的方法，利用fNIRS和fMRI同时记录的脑电数据来确定脑网络，并将各种成像技术的数据结合起来，开发出计算脑网络的方法。 3.我们将使用模拟和从人类受试者那里收集的数据来验证我们的新方法。 新成像技术的发展将为未来研究大脑系统的基本神经成像和神经科学问题提供能力，并有可能确定大脑如何执行复杂的认知处理。我们的研究计划将提供一个极好的环境，在成像技术开发方面培训学生和其他研究人员，这是加拿大研究和工业加速增长的一个领域。

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. The long-term objective of my research program is to develop imaging technologies to better understand the organization and function of the human brain. My overall hypothesis is that simultaneous recording of blood flow, electrical activity and tissue oxygen, and data analysis techniques that account for the dynamic nature of brain region communication, will more accurately determine brain functional networks. My specific objectives focus on the development of imaging technologies to record and analyze brain activity signals collected using multiple techniques (fMRI, EEG, fNIRS) in order to generate accurate images of the brain's functional networks: 1. We will develop new fMRI methods as well as new analysis methods that incorporate the dynamic nature of functional connections, to more accurately determine brain networks. 2. We will develop new ways to determine brain networks using fNIRS and EEG data simultaneously recorded with fMRI, and we will develop ways to compute brain networks by combining the data from each imaging technique. 3. We will validate our new approaches using simulations and data collected from human subjects. The development of new imaging techniques will provide the future ability to investigate fundamental neuroimaging and neuroscience questions of brain systems, with the potential to determine how the brain performs complex cognitive processing. Our research program will provide an excellent environment in which to train students and other research personnel in imaging technology development, an area of accelerating growth in Canadian research and industry.