Ultrafast functional magnetic resonance imaging with MR-encephalography

该提案旨在开发功能磁共振成像（fMRI）的新超快方法和技术，以直接观察时空神经元处理-换句话说，观察工作中的大脑。我们的目标是达到一个新的性能水平，大大超过目前已知的实验方法。为了实现这一目标，必须在测量的各个层面开发新的方法和技术：-重建具有95个通道的高度集成rf线圈阵列，作为方法开发的基础。-必须开发新的测量序列，以超越当前方法的局限性。测量将包括前瞻性和/或回顾性运动校正以及实时现场监测，以稳定数据重建。-一个迭代重建算法的框架，包括动态变化（运动，场变化）和神经解剖学约束的修正。-开发和实施用于实时功能磁共振成像的快速图像重建。利用新开发的方法，我们将进行应用研究，重点研究静息状态网络（RSNs）的生理机制，特别是在高达5 Hz的高频下，对志愿者和患者的高频RSNs进行调查。-实时反馈功能磁共振成像的开发和应用。-癫痫发作间期放电（ied）的时空动态研究。-在复杂的，现实生活中的任务动态处理的检查。

The proposal is aimed to the development of new ultrafast methods and technologies for functional magnetic resonance imaging (fMRI) for direct observation of spatiotemporal neuronal processing ¿ in other words to observe the brain at work. The goal will be to achieve a new level of performance significantly beyond the currently known experimental approaches. In order to achieve this goal, new methods and technologies will have to be developed on all levels of the measurement: - the re-building of a highly integrated RF-coil array with 95 channels as a basis of the methodological development.- new measurement sequences will have to be developed in order to get beyond the limitations of current approaches. Measurement will include prospective and/or retrospective motion correction as well as realtime field monitoring to stabilize data reconstruction. - a framework of iterative reconstruction algorithms including corrections for dynamic changes (motion, field changes) as well as neuroanatomical constraints will have to be developed.- fast image reconstruction for realtime fMRI will be developed and implemented. With the newly developed methods we will perform application studies with a focus on - investigation of the physiological mechanism of resting state networks (RSNs) especially at high frequencies of up to 5 Hz, imvestigation of high frequency RSNs in volunteers and patients.- development and application of realtime feedback fMRI.- examination of spatiotemporal dynamics of interictal epileptic discharges (IEDs).- examination of dynamic processing in complex, real-life tasks.