Assessment of effective connectivity among cortical regions based on a neural mass model.
作者： M. Zavaglia , L. Astolfi , F. Babiloni , M. Ursino
DOI: 10.1109/IEMBS.2006.259896
关键词:
摘要: Assessment of brain connectivity among different areas during cognitive or motor tasks is a crucial problem in neuroscience today. Aim this work to use neural mass model assess the effect various patterns power spectral density (PSD) cortical EEG, and investigate possibility derive circuits from real EEG data. To end, an individual region interest (ROI) has been built as parallel arrangement three populations, each described (1). The present study suggests that can be used simulation tool, able produce reliable intracortical signals. Moreover, it look for simple circuits, explain main features observed PSD. These results may open new prospective neurophysiological models, instead empirical effective neuroimaging information.
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