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Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain

机译:磁脑描记术-理论,仪器及其在人脑正常工作的无创研究中的应用

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摘要

Magnetoencephalography (MEG) is a noninvasive technique for investigating neuronal activity in the living human brain. The time resolution of the method is better than 1 ms and the spatial discrimination is, under favorable circumstances, 2-3 mm for sources in the cerebral cortex. In MEG studies, the weak 10 fT-1 pT magnetic fields produced by electric currents flowing in neurons are measured with multichannel SQUID (superconducting quantum interference device) gradiometers. The sites in the cerebral cortex that are activated by a stimulus can be found from the detected magnetic-field distribution, provided that appropriate assumptions about the source render the solution of the inverse problem unique. Many interesting properties of the working human brain can be studied, including spontaneous activity and signal processing following external stimuli. For clinical purposes, determination of the locations of epileptic foci is of interest. The authors begin with a general introduction and a short discussion of the neural basis of MEG. The mathematical theory of the method is then explained in detail, followed by a thorough description of MEG instrumentation, data analysis, and practical construction of multi-SQUID devices. Finally, several MEG experiments performed in the authors' laboratory are described, covering studies of evoked responses and of spontaneous activity in both healthy and diseased brains. Many MEG studies by other groups are discussed briefly as well.
机译:磁脑描记法(MEG)是一种用于研究活人脑中神经元活动的非侵入性技术。该方法的时间分辨率优于1 ms,并且在有利的情况下,对于大脑皮层中的源,空间分辨力为2-3 mm。在MEG研究中,由神经元中流动的电流产生的10 fT-1 pT弱磁场是用多通道SQUID(超导量子干涉仪)梯度仪测量的。可以从检测到的磁场分布中找到由刺激激活的大脑皮层中的位点,前提是对信号源的适当假设可以使反问题的解决方案独特。可以研究工作中的人脑的许多有趣特性,包括自发活动和外部刺激后的信号处理。为了临床目的,确定癫痫病灶的位置是令人关注的。作者首先对MEG的神经基础进行了一般性介绍和简短讨论。然后详细解释了该方法的数学原理,随后对MEG仪器,数据分析和Multi-SQUID设备的实际构造进行了全面描述。最后,描述了在作者实验室中进行的几次MEG实验,涵盖了健康和患病大脑中诱发反应和自发活动的研究。还简要讨论了其他小组的许多MEG研究。

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