Hämäläinen M S
Low Temperature Laboratory, Helsinki University of Technology, Espoo, Finland.
Brain Topogr. 1992 Winter;5(2):95-102. doi: 10.1007/BF01129036.
At present, one of the most promising windows to the functional organization of the human brain is magnetoencephalography (MEG). By mapping the magnetic field distribution outside the head the sites of neural events can be located with an accuracy of a few millimeters and the temporal evolution of the activation can be traced with a millisecond resolution. This paper reviews some forward field calculation approaches suitable for the interpretation of the brain's electromagnetic signals. Inverse modelling with multiple dipoles is described in detail. An example of the analysis of the somatosensory evoked-responses illustrates the potential of multiple signal classification (MUSIC) algorithm in finding optimal dipole positions.
目前,用于了解人类大脑功能组织的最有前景的方法之一是脑磁图(MEG)。通过绘制头部外部的磁场分布,可以将神经活动的位置精确到几毫米,并且可以以毫秒级分辨率追踪激活的时间演变。本文回顾了一些适用于解释大脑电磁信号的正向场计算方法。详细描述了多偶极子的逆模型。体感诱发反应分析的一个例子说明了多重信号分类(MUSIC)算法在寻找最佳偶极子位置方面的潜力。