Stam C J
Department of Clinical Neurophysiology, VU University Medical Center, P.O. Box 7057, 1007 MB Amsterdam, The Netherlands.
Neurosci Lett. 2004 Jan 23;355(1-2):25-8. doi: 10.1016/j.neulet.2003.10.063.
EEG and MEG (magnetoencephalography) are widely used to study functional connectivity between different brain regions. We address the question whether such connectivity patterns display an optimal organization for information processing. MEG recordings of five healthy human subjects were converted to sparsely connected graphs (N=126; k=15) by applying a suitable threshold to the N * N matrix of synchronization strengths. For intermediate frequencies (8-30 Hz) the synchronization patterns were similar to those of an ordered graph with a consistent drop of synchronization strength as a function of distance. For low (<8 Hz) and high (>30 Hz) frequency bands the synchronization patterns displayed the features of a so-called 'small-world' network. This might reflect an optimal organization pattern for information processing, connecting any two brain area by only a small number of intermediate steps.
脑电图（EEG）和脑磁图（MEG，即磁脑图）被广泛用于研究不同脑区之间的功能连接。我们探讨这样的连接模式是否展现出用于信息处理的最优组织。通过对同步强度的N×N矩阵应用合适的阈值，将五名健康人类受试者的脑磁图记录转换为稀疏连接图（N = 126；k = 15）。对于中频（8 - 30赫兹），同步模式类似于有序图，同步强度随距离呈一致下降。对于低频（<8赫兹）和高频（>30赫兹）频段，同步模式呈现出所谓“小世界”网络的特征。这可能反映了一种用于信息处理的最优组织模式，即仅通过少量中间步骤就能连接任意两个脑区。
