Geodesic EEG System

描述（由申请人提供）：本提案寻求资金，为Athinoula a . Martinos生物医学成像中心购买一种新型高性能核磁共振兼容脑电图设备，用于高密度和实时脑电图/功能磁共振成像研究。从市售的脑电图系统中，我们选择了一种能够提供最佳信噪比并允许在高达3T的MRI场下进行高分辨率脑电图记录的系统。并发EEG/fMRI为临床和转化研究应用提供了所需的高时间和空间分辨率。例如，这些技术组合提供的高信噪比将允许使用单事件BOLD响应改进致痫病灶检测；它还可以在睡眠、麻醉和图像引导脑肿瘤手术期间监测大脑功能。脑电图/功能磁共振成像的结合也将改善基础神经科学研究。特别是，该仪器可用于帮助确定人类大脑的不同区域如何在信息处理过程中相互作用，以阐明在人类大脑中推断皮层前馈与反馈过程。此外，该仪器将允许研究在听觉任务中控制选择性注意的振荡脑网络的动态成像。此外，该技术还可以揭示行为反应中错误处理的血流动力学和电生理指标之间的关系。总的来说，该仪器将为实时并发EEG/fMRI测量提供统一的计算和硬件框架，可用于研究和最终的临床患者管理。因此，我们庞大且不断增长的由phs资助的研究团体使用该系统，将对旨在了解正常脑功能中电信号和BOLD信号之间的相互作用，以及它们在癫痫和精神分裂症等病理条件下以及睡眠和麻醉等生理状态改变下如何变化的研究具有重要意义。

DESCRIPTION (provided by applicant): This proposal seeks funding to purchase a novel high-performance MR-compatible EEG device for high- density and real-time EEG/fMRI studies for the Athinoula A. Martinos Center for Biomedical Imaging. From among the commercially available EEG systems we have selected the one that would provide optimal SNR and allow for high-resolution EEG recording at MRI fields up to 3T. Concurrent EEG/fMRI provides high temporal and spatial resolution needed for clinical and translational research applications. For instance, the high SNR provided by the combination of these technologies will allow improved epileptogenic foci detection using single-event BOLD response; it will also enable monitoring of brain function during sleep, under anesthesia, and during image-guided surgeries for brain tumor. Combined EEG/fMRI wil also improve basic neuroscience research. In particular, the Instrument can be used to help determine how different areas of the human brain interact during information processing to elucidate inferring cortical feed-forward vs. feedback processes in the human brain. Furthermore, the instrument will allow studies of dynamic imaging of oscillatory brain networks controlling selective attention in auditory tasks. Additionally, this technology may shed light on the relation between hemodynamic and electrophysiological indices of error processing in behavioral response. Overall, this instrument will provide a unified computational and hardware framework for real-time concurrent EEG/fMRI measurements that can be used in both research studies and, eventually, clinical patient management. Hence, use of this system by our large and growing PHS-funded research community will have important implications for studies that aim to understand the interactions between electrical and BOLD signal in normal brain function, and how they change under pathological conditions such as epilepsy and schizophrenia, and under altered physiological states such as sleep and anesthesia. PUBLIC HEALTH RELEVANCE: The proposed EEG/fMRI system and related technologies will help understanding where and when pathological brain activity occurs in diseases such as epilepsy and Schizophrenia. This system will also enable brain monitoring under anesthesia, and for basic neuroscience studies.