文章基本信息

标题：Temporal dynamics of spontaneous MEG activity in brain networks
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作者：Francesco de Pasquale ; Stefania Della Penna ; Abraham Z. Snyder 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2010
卷号：107
期号：13
页码：6040-6045
DOI：10.1073/pnas.0913863107
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：Functional MRI (fMRI) studies have shown that low-frequency (<0.1 Hz) spontaneous fluctuations of the blood oxygenation level dependent (BOLD) signal during restful wakefulness are coherent within distributed large-scale cortical and subcortical networks (resting state networks, RSNs). The neuronal mechanisms underlying RSNs remain poorly understood. Here, we describe magnetoencephalographic correspondents of two well-characterized RSNs: the dorsal attention and the default mode networks. Seed-based correlation mapping was performed using time-dependent MEG power reconstructed at each voxel within the brain. The topography of RSNs computed on the basis of extended (5 min) epochs was similar to that observed with fMRI but confined to the same hemisphere as the seed region. Analyses taking into account the nonstationarity of MEG activity showed transient formation of more complete RSNs, including nodes in the contralateral hemisphere. Spectral analysis indicated that RSNs manifest in MEG as synchronous modulation of band-limited power primarily within the theta, alpha, and beta bands--that is, in frequencies slower than those associated with the local electrophysiological correlates of event-related BOLD responses.
关键词：resting state networks ; default mode network ; dorsal attention network ; functional MRI