Electrophysiological correlation patterns of resting state networks in single subjects: a combined EEG-fMRI study.
Electrophysiological correlation patterns of resting state networks in single subjects: a combined EEG-fMRI study.
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DOI：
10.1007/s10548-012-0235-0
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发表时间：
2013-01
期刊：
影响因子：
2.7
通讯作者：
Barth, Markus
中科院分区：
文献类型：
--
作者：
Meyer, Matthias C.;van Oort, Erik S. B.;Barth, Markus
在过去十年中，EEG-fMRI结合了两种互补的方法，通过同时测量人类大脑的功能过程，似乎有希望回答基本的神经科学问题。最近，静息状态网络（RSNs），代表连贯的BOLD波动的大脑区域，引起了神经科学界的极大兴趣。由于rsn在受试者中被可靠地发现，并反映了任务相关的网络，因此它们特征的变化可能有助于了解神经元的变化或损伤，有望在科学和临床领域得到广泛应用。在这种情况下，rsn如何与电生理信号特征相关联的问题变得相关。在这项EEG-fMRI联合研究中，我们通过对每个受试者进行长时间（34分钟）静息状态扫描，研究了rsn与其相关的电生理信号[电生理相关模式（ECPs）]之间的关系。这使我们能够在群体和单个受试者水平上研究ECPs，并检查每个受试者内ECPs的时间稳定性。我们发现，在群体水平上获得的相关模式显示出很大的主体间变异性。在长时间扫描期间，受试者体内的ECPs显示出时间波动，我们将其解释为rsn的复杂时间动态的结果。本文的在线版本（doi:10.1007/s10548-012-0235-0）包含补充材料，仅供授权用户使用。
With combined EEG–fMRI a powerful combination of methods was developed in the last decade that seems promising for answering fundamental neuroscientific questions by measuring functional processes of the human brain simultaneously with two complementary modalities. Recently, resting state networks (RSNs), representing brain regions of coherent BOLD fluctuations, raised major interest in the neuroscience community. Since RSNs are reliably found across subjects and reflect task related networks, changes in their characteristics might give insight to neuronal changes or damage, promising a broad range of scientific and clinical applications. The question of how RSNs are linked to electrophysiological signal characteristics becomes relevant in this context. In this combined EEG–fMRI study we investigated the relationship of RSNs and their correlated electrophysiological signals [electrophysiological correlation patterns (ECPs)] using a long (34 min) resting state scan per subject. This allowed us to study ECPs on group as well as on single subject level, and to examine the temporal stability of ECPs within each subject. We found that the correlation patterns obtained on group level show a large inter-subject variability. During the long scan the ECPs within a subject show temporal fluctuations, which we interpret as a result of the complex temporal dynamic of the RSNs. The online version of this article (doi:10.1007/s10548-012-0235-0) contains supplementary material, which is available to authorized users.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
5.7
作者：
Gonçalves, SI;de Munck, JC;da Silva, FHL
通讯作者：
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影响因子：
3.2
作者：
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通讯作者：
Fox PT
影响因子：
4.8
作者：
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通讯作者：
Tervonen, Osmo
影响因子：
5.7
作者：
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通讯作者：
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