Department of Clinical Neurophysiology, VU University Medical Center, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Neuroimage. 2010 Sep;52(3):985-94. doi: 10.1016/j.neuroimage.2009.10.049. Epub 2009 Oct 22.
We investigated the relationship between structural network properties and both synchronization strength and functional characteristics in a combined neural mass and graph theoretical model of the electroencephalogram (EEG). Thirty-two neural mass models (NMMs), each representing the lump activity of reasonably large groups of interacting excitatory and inhibitory neurons, were reciprocally and excitatory coupled using random rewiring as described by Watts and Strogatz. Numerical analysis of the network revealed an abrupt transition towards a synchronized state as a function of increasing coupling strength alpha. Synchronization increased with increasing degree and decreasing regularity of the network. Parameters of the functional network showed a diverse dependency on structural connectivity: normalized clustering coefficient gamma and path length lambda increased with increasing alpha. For sufficiently large alpha, however, gamma decreased with increasing rewiring probability p, while lambda increased. Hence, a structured functional network exists despite the randomness of the underlying structural network. That is, patterns of functional connectivity are influenced by patterns of the corresponding structural level but do not necessarily agree with those.
我们研究了结构网络属性与脑电（EEG）的神经质量和图论模型的同步强度和功能特征之间的关系。使用 Watts 和 Strogatz 描述的随机重连，我们将 32 个神经质量模型（NMM）相互和兴奋性耦合，每个模型代表相互作用的兴奋性和抑制性神经元的相当大的群组的块状活动。网络的数值分析显示，随着耦合强度α的增加，网络向同步状态的突然转变。随着网络的度和规则性的增加，同步性也增加。功能网络的参数对结构连接表现出不同的依赖性：标准化聚类系数γ和路径长度λ随着α的增加而增加。然而，对于足够大的α，γ随着重连概率 p的增加而减小，而λ增加。因此，尽管存在基础结构网络的随机性，但仍然存在结构化的功能网络。也就是说，功能连接模式受到相应结构水平的模式的影响，但不一定与这些模式一致。
