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Artifact reduction in simultaneous EEG and fMRI recordings

同时脑电图和功能磁共振成像记录中的伪影减少

基本信息

批准号：
7501930
负责人：
VINOD MENON
金额：
$ 17.28万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-09-30 至 2010-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7501930
关键词：
Algorithms Brain Brain imaging Calmette-Guerin Bacillus Clinical Clinical Research Cognitive Collaborations Complex Computer Simulation Computer information processing Data Data Analyses Data Quality Development Effectiveness Electroencephalography Event Excision Functional Magnetic Resonance Imaging Functional disorder Funding Future Goals Human Imaging Techniques Interdisciplinary Study Knowledge Magnetic Resonance Imaging Methodology Methods Mission Modeling Morphologic artifacts Multimodal Imaging NIH Program Announcements National Center for Research Resources Neurodevelopmental Disorder Neurologic Neurons Neurosciences Noise Numbers Oregon Performance Problem Solving Procedures Process Range Research Research Methodology Research Personnel Resolution Sensory Signal Transduction Source Techniques Technology Testing United States National Institutes of Health Universities Validation Visual Widow base brain research computerized data processing data acquisition density design independent component analysis innovation neurotechnology new technology novel novel strategies relating to nervous system research and development response

项目摘要

DESCRIPTION (provided by applicant): Understanding the neural basis of human brain function requires knowledge about the spatial and temporal aspects of information processing. Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) represent complementary brain imaging techniques in terms of their spatial and temporal resolution; hence, combining fMRI and EEG holds great promise for examining the spatial and temporal dynamics of sensory and cognitive processes underlying brain function. The main advantage of acquiring fMRI and EEG data in the same session is that the two types of data reflect the same neural process. However, a number of technical problems must be overcome before the benefits of this approach can be fully realized. In particular, EEG data acquired in the scanner is heavily contaminated by artifacts which can significantly reduce the quality of the data. This proposal brings together a strong multidisciplinary research team to solve major technical problems related to the acquisition, validation and analysis of simultaneous EEG and fMRI data. We propose to develop, test and validate novel procedures for artifact reduction in simultaneous EEG-fMRI acquisition at 3T. To achieve this goal, we will: (1) use computer simulations to compare the performance of our new artifact removal procedures with current procedures, (2) build a physical phantom to generate known current sources in the 3T magnet, and use it to validate and quantify the effectiveness of our procedures, and (3) use continuous, averaged and single-trial EEGs to demonstrate that our procedures can successfully recover task-relevant brain responses. The proposed studies will contribute important new information about optimal EEG-fMRI recording and analysis techniques, thereby helping to realize their full potential in human brain research. Findings from our study will also propel the development of new approaches to investigate the neural bases of psychiatric, neurological and neurodevelopmental disorders.

描述（由申请人提供）：了解人脑功能的神经基础需要有关信息处理的空间和时间方面的知识。功能性磁共振成像（fMRI）和脑电图（EEG）在空间和时间分辨率方面代表互补的脑成像技术;因此，将fMRI和EEG结合起来，对于检查大脑功能下的感觉和认知过程的空间和时间动态具有很大的希望。在同一会话中获取fMRI和EEG数据的主要优点是这两种类型的数据反映了相同的神经过程。然而，在充分实现这一方法的好处之前，必须克服一些技术问题。特别是，在扫描仪中采集的EEG数据严重污染的伪影，这可能会显着降低数据的质量。该提案汇集了一个强大的多学科研究团队，以解决与同步EEG和fMRI数据的采集，验证和分析相关的主要技术问题。我们建议开发，测试和验证新的程序，减少伪影在同时EEG-fMRI采集在3 T。为了实现这一目标，我们将：（1）使用计算机模拟来比较我们的新伪影去除程序与当前程序的性能，（2）构建物理体模以在3 T磁体中生成已知电流源，并使用它来验证和量化我们程序的有效性，以及（3）使用连续，平均和单次试验脑电图，以证明我们的程序可以成功地恢复任务相关的大脑反应。拟议的研究将提供有关最佳EEG-fMRI记录和分析技术的重要新信息，从而有助于充分发挥其在人脑研究中的潜力。我们的研究结果也将推动新方法的发展，以调查精神，神经和神经发育障碍的神经基础。