Minimum-norm least-squares estimation: magnetic source images for a spherical model head
Minimum-norm least-squares estimation: magnetic source images for a spherical model head
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DOI：
10.1109/10.222331
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发表时间：
1993-04
影响因子：
4.6
通讯作者：
J. Wang
中科院分区：
文献类型：
--
作者：
J. Wang
最小范数最小二乘逆方法的局部球形模型的导电性几何形状的人的头部进行了扩展。在模拟人脑皮质活动时，利用解剖学的先验知识和神经元内电流的特性来解释头皮上的磁场模式，以产生大脑皮质部分的独特磁源图像。详细分析了测量中的噪声、确定像面时的位置误差以及传感器数目对磁源图像质量的影响。
The minimum-norm least-squares inverse approach to a local spherical model for the conductivity geometry of the human head is extended. In simulations of cortical activity of the human brain, the magnetic field pattern across the scalp is interpreted with prior knowledge of anatomy, and the properties of intraneuronal current flow to yield a unique magnetic source image across a portion of cerebral cortex. Influences on the quality of magnetic source images from the noise in measurements, the position errors in determining the image surface, and the number of sensors are evaluated in detail.>