Zavaglia M, Astolfi L, Babiloni F, Ursino M
Dept. of Electronics, Computer Science, and Systems, University of Bologna, Cesena, Italy.
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:590-4. doi: 10.1109/IEMBS.2006.259896.
Assessment of brain connectivity among different brain areas during cognitive or motor tasks is a crucial problem in neuroscience today. Aim of this work is to use a neural mass model to assess the effect of various connectivity patterns in the power spectral density (PSD) of cortical EEG, and investigate the possibility to derive connectivity circuits from real EEG data. To this end, a model of an individual region of interest (ROI) has been built as the parallel arrangement of three populations. The present study suggests that the model can be used as a simulation tool, able to produce reliable intracortical EEG signals. Moreover, it can be used to look for simple connectivity circuits, able to explain the main features of observed cortical PSD. These results may open new prospective in the use of neurophysiological models, instead of empirical models, to assess effective connectivity from neuroimaging information.
评估认知或运动任务期间不同脑区之间的脑连接性是当今神经科学中的一个关键问题。这项工作的目的是使用神经质量模型来评估各种连接模式对皮质脑电图功率谱密度（PSD）的影响，并研究从真实脑电图数据中推导连接回路的可能性。为此，已构建一个感兴趣的单个区域（ROI）模型，作为三个群体的并行排列。本研究表明，该模型可作为一种模拟工具，能够产生可靠的皮质内脑电图信号。此外，它可用于寻找简单的连接回路，以解释观察到的皮质PSD的主要特征。这些结果可能为使用神经生理模型而非经验模型从神经成像信息评估有效连接性开辟新的前景。
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