Elekta Neuromag Electronics Upgrade

Elekta Neuromag 电子设备升级

• 批准号: 8051408
• 负责人: MATTI HAMALAINEN
• 金额: $ 35万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2013-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8051408
• 关键词: Area; Boston; Brain; Brain imaging; Brain region; Clinical; Data; Detection; Electroencephalography; Electronics; Epilepsy; Event; Frequencies; General Hospitals; Head; High Frequency Oscillation; Hospitals; Human; Magnetoencephalography; Maps; Massachusetts; Measurement; Measures; Multimodal Imaging; Nature; New England; Patients; Process; Research; Resolution; Sampling; Services; Signal Transduction; Source; Stimulus; System; Time; brain machine interface; computerized data processing; imaging modality; interest; mind control; relating to nervous system; research study

DESCRIPTION (provided by applicant): Magnetoencephalography (MEG) and electroencephalography (EEG) are the only non-invasive human brain imaging methods measuring neural currents directly thus providing exquisite temporal resolution and allowing detection and precise timing of transient changes in brain activity as well as studies of dynamic interactions between brain regions. With multichannel MEG and EEG recordings it is possible to locate the sources underlying the measurements in best cases with an accuracy of less than 1 cm. Recently, there has been increasing interest in studying weak high-frequency oscillations associated with normal brain function as well as fast signals related to abnormal epileptic events, observed in invasive recordings. Furthermore, it has been demonstrated that under suitable conditions it is feasible to detect activity from deep brain areas on and outside the cortex. For all these studies a fine amplitude resolution and fast sampling rates are a prerequisite. Due to their very real-time nature, MEG and EEG signals are very suitable for applications involving real-time processing of signatures of brain activity such as brain-machine interfaces (BMI) and experiments in which the stimuli presented are controlled by the "brain state". To enable detection of low-amplitude and/or high- frequency signals and real-time data processing, we propose an upgrade to the electronics of the whole-head MEG/EEG at the Martinos Center of Massachusetts General Hospital (MGH), the only state-of-the-art MEG installation in New England area. The new electronics will provide higher sampling rates (up to 8 ksamples/s instead of present 3 ksamples/s), higher amplitude resolution (24 bits instead of 16 bits) than the present electronics, developed in the late 90s and installed with the system in 2001. In addition, the new modern MEG/EEG electronics will allow direct access to the data during recordings for BMI and other real-time applications. The MGH MEG/EEG system is used by a multitude of research groups in the Boston area, all of which will directly benefit from the proposed upgrade. In addition, our clinical MEG service provides multimodal imaging of epileptic activity and presurgical functional mapping for patients from local and regional hospitals.

描述（由申请人提供）：脑磁图（MEG）和脑电图（EEG）是唯一直接测量神经电流的非侵入性人脑成像方法，因此提供了精确的时间分辨率，并允许检测和精确计时大脑活动的瞬时变化以及研究大脑区域之间的动态相互作用。 使用多通道MEG和EEG记录，可以在最佳情况下以小于1 cm的精度定位测量的源。 最近，有越来越多的兴趣在研究与正常脑功能相关的弱高频振荡，以及与异常癫痫事件相关的快速信号，在侵入性记录中观察到。 此外，已经证明，在合适的条件下，检测来自皮层上和皮层外的脑深部区域的活动是可行的。 对于所有这些研究，精细的幅度分辨率和快速的采样率是先决条件。 由于其非常实时的性质，MEG和EEG信号非常适合涉及实时处理大脑活动特征的应用，例如脑机接口（BMI）和实验，其中所呈现的刺激由“大脑状态”控制。 为了能够检测低振幅和/或高频信号和实时数据处理，我们提出了对马萨诸塞州总医院（MGH）Martinos中心的全头部MEG/EEG的电子设备进行升级，该中心是新英格兰地区唯一最先进的MEG装置。 与90年代后期开发并于2001年安装的现有电子设备相比，新的电子设备将提供更高的采样率（高达8 ksamples/s，而不是目前的3 ksamples/s）、更高的幅度分辨率（24位，而不是16位）。 此外，新的现代MEG/EEG电子设备将允许在BMI和其他实时应用记录期间直接访问数据。 MGH MEG/EEG系统被波士顿地区的许多研究小组使用，所有这些研究小组都将直接受益于拟议的升级。 此外，我们的临床脑磁图服务为当地和地区医院的患者提供癫痫活动的多模式成像和术前功能标测。

项目成果

Clinical value of magnetoencephalographic spike propagation represented by spatiotemporal source analysis: correlation with surgical outcome.

时空源分析代表的脑磁尖峰传播的临床价值：与手术结果的相关性。

• DOI: 10.1016/j.eplepsyres.2013.11.006
• 发表时间: 2014
• 期刊: Epilepsy research
• 影响因子: 2.2
• 作者: Tanaka,Naoaki;Peters,JurriaanM;Prohl,AnnaK;Takaya,Shigetoshi;Madsen,JosephR;Bourgeois,BlaiseF;Dworetzky,BarbaraA;Hämäläinen,MattiS;Stufflebeam,StevenM
• 通讯作者: Stufflebeam,StevenM