Path Toward MRI with Direct Sensitivity to Neuro-Electro-Magnetic Oscillations

对神经电磁振荡具有直接敏感性的 MRI 之路

基本信息

批准号：
9085395
负责人：
ALLEN W SONG
金额：
$ 46.76万
依托单位：
DUKE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-26 至 2018-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9085395
关键词：
Address Advisory Committees BRAIN initiative Behavior Behavioral Biological Neural Networks Brain Brain Mapping Brain imaging Cereals Communities Detection Educational workshop Ensure Etiology Event Foundations Functional Magnetic Resonance Imaging Goals Growth Health Human Image Imaging technology Individual Interdisciplinary Study Intrinsic drive Investigation Knowledge Laboratories Link Magnetic Resonance Imaging Magnetism Maps Measurement Measures Mental disorders Methodology Methods Modeling Monoclonal Antibody R24 Motor Neurons Neurosciences Noise Output Patients Pattern Physiologic pulse Pilot Projects Process Request for Applications Research Research Activity Research Personnel Residual state Resolution Resources Signal Transduction Solid Structure Techniques Technology Time Validation Visual Cortex base brain electrical activity brain machine interface brain research exoskeleton hemodynamics in vivo innovation insight magnetic field neuroimaging neuronal circuitry neurotechnology next generation nonhuman primate relating to nervous system response robot exoskeleton sensorimotor system temporal measurement tool ultra high resolution

项目摘要

DESCRIPTION (provided by applicant): In response to the NIH RFA-MH-14-217 on "Planning for Next Generation Human Brain Imaging", we propose a comprehensive plan to organize the much needed technological resources and interdisciplinary research team for developing the next generation MRI technology that can directly detect neuroelectric activities in the human brain with a high spatial and temporal resolution, using scanners with the 3 Tesla magnetic field strength that is accessible by the majority of neuroimaging researchers. Through our encouraging preliminary investigations, we have determined that it is possible to precisely map brain activities by directly sensitizing the MRI signal to the neuro-electro-magnetic oscillations (NEMO). At the same time, we have also identified key challenges in MRI hardware, acquisition methods, and contrast mechanisms to fully enable this approach. We will address these challenges by organizing three innovative technical cores (in the form of Technical Aims) for the purpose of enabling an ultra-uniform magnetic field throughout the brain to ensure a robust detection of the NEMO signal, reaching ultra-high spatial resolutions that can resolve fine-grained cortical microstructures, and building a non-invasive human brain-machine interface (BMI) that models and classifies the functional neuroimaging signals and drives an attached robotic exoskeleton. To establish convincing evidences toward a direct and sensitive MRI detection of neuroelectric activity, and based on our solid technical foundation, we also propose four innovative pilot projects (in the form of Scientific Aims) to construct a static neural networ with causal information using high-resolution MRI, to investigate dynamic NEMO signals in vivo with enhanced sensitivity during both driven and intrinsic neuronal oscillations, and to model and classify the dynamic neuroimaging signals and to replicate and validate the human behavior in the robotic exoskeleton through our non-invasive human BMI. To help evaluate our research progress and receive critical input from researchers and leaders in the brain research community, we will organize annual workshops coordinated by our interdisciplinary research team and our scientific advisory committee. We anticipate that through these comprehensive planning and research activities, we will be able to define a clear path to reach the next generation human brain imaging technology that can precisely, non-invasively, and unambiguously map brain activities with unprecedented spatial and temporal resolution.

DESCRIPTION (provided by application): In response to the NIH RFA-MH-14-217 on "Planning for Next Generation Human Brain Imaging", we propose a comprehensive plan to organize the much needed technical resources and interdisciplinary research team for developing the next generation MRI technology that can directly detect neuroelectric activities in the human brain with a high spatial and temporary resolution, using scanners with the 3 Tesla magnetic field strength that is accessible by the majority of神经影像学研究人员。通过我们令人鼓舞的初步研究，我们确定可以通过将MRI信号直接敏感到神经电子磁性振荡（NEMO）来精确地绘制脑活动。同时，我们还确定了MRI硬件，采集方法和对比机制的关键挑战，以完全启用这种方法。我们将通过组织三个创新的技术核心（以技术目的的形式）来应对这些挑战信号并驱动连接的机器人外骨骼。为了建立令人信服的证据，以直接和敏感的MRI检测神经运动活动，并基于我们的稳固技术基础，我们还建议四个创新的飞行员项目（以科学目的的形式），以使用高分辨率MRI进行静态神经元网络构建一个静态神经元网络，以使用高分辨率MRI，以调查在Vivo中，并在Vivo中进行动态NEEMO在Vivo中的敏感性和敏感性，并在效率上进行敏感性，并具有敏感性的敏感性。对动态神经成像信号进行分类，并通过我们的非侵入性人类BMI复制和验证机器人外骨骼中的人类行为。为了帮助评估我们的研究进度并收到大脑研究社区研究人员和领导者的关键意见，我们将组织由我们的跨学科研究团队和科学咨询委员会协调的年度研讨会。我们预计，通过这些全面的计划和研究活动，我们将有可能定义一条清晰的途径，以达到下一代人脑成像技术，这些技术可以精确，无创，并且明确地绘制出前所未有的空间和临时分辨率的大脑活动。