MULTIMODAL IMAGING OF BRAIN ACTIVITY AND CONNECTIVITY

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 该项目的长期目标是建立一种多模式功能神经成像方法，以高空间和时间分辨率非侵入性地成像大脑活动和连接。我们建议开发和评估集成高时间分辨率脑电(EEG)和高空间分辨率血氧水平依赖(BOLD)功能磁共振成像(FMRI)的新方法，以成像人类的神经激活及其相互作用。为了实现这些目标，将解决以下具体目标：1)开发多模式成像方法，将EEG和fMRI结合起来，对大脑活动进行成像。我们将开发和改进新的神经成像方法，通过整合EEG和BOLD-fMRI来重建电流密度分布。创新之处在于提出了一种策略，从脑电和量化的BOLD响应中估计时变源协方差，并将该方法扩展到时空-频率域。我们将通过系统的计算机模拟来严格评估所提出的多模式神经成像方法，并改进将BOLD-fMRI与EEG相结合的策略。2)通过良好控制的人体实验评估多模式脑活动成像。我们将在一组受试者中评估我们关于大胆反应和事件相关电生理反应之间关系的建模假设。我们将在一组健康受试者中使用视觉和运动范式对所提出的方法进行评估。我们将在30名癫痫患者身上使用独立的硬膜下电位记录来评估所提出的成像方法，这些患者执行的运动和躯体感觉任务与相应的BOLD-fMRI和EEG研究中相同。3)脑功能连接的多模式成像。我们将扩展EEG和BOLD-fMRI的使用，以评估感兴趣区域之间的大脑功能连接。我们将开发时变连通性估计方法和基于严格图论的分析方法来评估连通性估计。我们将通过计算机模拟和人体实验对fMRI-EEG集成的脑连接估计方法进行严格的评估，包括健康受试者和接受手术评估的患者。这项拟议研究的成功完成将：(1)使我们能够解决功能神经成像中的一个重要问题，即fMRI和EEG的多模式集成是否以及在多大程度上可以进一步提高时空神经成像的性能；(2)使我们能够开发和评估一种新的高分辨率时空功能神经成像方法，该方法有望在绘制健康受试者和各种神经和精神疾病患者的大脑活动和连接方面具有巨大的潜力。公共卫生相关性：拟议的工作旨在开发和评估一种高分辨率多模式神经成像技术，该技术可能提供显著增强的动态脑功能成像能力。这种高分辨率时空成像模式的建立可以极大地提高我们处理和管理一些神经和精神疾病的能力，并为患者的医疗保健提供显著的好处。 公共卫生相关性：拟议的工作旨在开发和评估一种高分辨率多模式神经成像技术，该技术可能提供显著增强的动态脑功能成像能力。这种高分辨率时空成像模式的建立可以极大地提高我们处理和管理一些神经和精神疾病的能力，并为患者的医疗保健提供显著的好处。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The long term goal of this project is to establish a multimodal functional neuroimaging methodology for noninvasively imaging brain activity and connectivity with high spatial and temporal resolution. We propose to develop and evaluate novel methods to integrate high-temporal-resolution electroencephalography (EEG) and high-spatial-resolution blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) for imaging neural activations and their interactions in humans. To achieve these goals, the following specific aims will be addressed: 1) Develop multimodal imaging methods to integrate EEG and fMRI for imaging brain activity. We will develop and refine novel neuroimaging methods for reconstructing current density distributions from integration of EEG and BOLD-fMRI. Of innovation is the proposed strategy to estimate time-variant source co-variance from both EEG and quantified BOLD responses, and to extend the method to the spatio- temporal-frequency domain. We will rigorously evaluate the proposed multimodal neuroimaging methods by means of systematic computer simulations and refine the strategy of integrating BOLD-fMRI with EEG. 2) Evaluate multimodal brain activity imaging through well-controlled human experimentation. We will evaluate our modeling assumptions with regard to the relationship between the BOLD response and the event-related electrophysiological response in a group of human subjects. We will evaluate the proposed methods using visual and motor paradigms in a group of healthy subjects. We will evaluate the proposed imaging approach using independent subdural potential recordings on 30 epilepsy patients performing the same motor and somatosensory tasks as in corresponding BOLD-fMRI and EEG studies. 3) Multimodal imaging of brain functional connectivity. We will extend the use of EEG and BOLD-fMRI for the estimation of brain functional connectivity among regions of interest. We will develop time-varying connectivity estimation methods and rigorous graph theory based analysis methods to assess the connectivity estimates. We will rigorously evaluate the fMRI-EEG integrated brain connectivity estimation methods by computer simulations and human experimentation including healthy subjects and patients undergoing surgical evaluation. The successful completion of the proposed research will: (1) enable us to address an important question in functional neuroimaging as to whether, and to what extent, multimodal integration of fMRI and EEG can further improve the performance of spatiotemporal neuroimaging; (2) enable us to develop and evaluate a novel high- resolution spatiotemporal functional neuroimaging approach, which promises to have great potential in terms of mapping human brain activity and connectivity in both healthy subjects and patients suffering from various neurological and psychiatric disorders. PUBLIC HEALTH RELEVANCE: The proposed work aims at developing and evaluating a high-resolution multimodal neuroimaging technology, which may provide a significantly enhanced ability to image dynamic brain function. The establishment of such a high-resolution spatio-temporal imaging modality may greatly enhance our ability to tackle and manage a number of neurological and mental disorders, and provide a significant benefit to patient healthcare. Public Health Relevance: The proposed work aims at developing and evaluating a high-resolution multimodal neuroimaging technology, which may provide a significantly enhanced ability to image dynamic brain function. The establishment of such a high-resolution spatio-temporal imaging modality may greatly enhance our ability to tackle and manage a number of neurological and mental disorders, and provide a significant benefit to patient healthcare.