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人类大脑中分离的神经元相位和幅度耦合模式。

Dissociated neuronal phase- and amplitude-coupling patterns in the human brain.

机构信息

Centre for Integrative Neuroscience, University of Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen, Germany; MEG Center, University of Tübingen, Germany; IMPRS for Cognitive and Systems Neuroscience, University of Tübingen, Germany.

Centre for Integrative Neuroscience, University of Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen, Germany; MEG Center, University of Tübingen, Germany.

出版信息

Neuroimage. 2020 Apr 1;209:116538. doi: 10.1016/j.neuroimage.2020.116538. Epub 2020 Jan 11.

DOI:10.1016/j.neuroimage.2020.116538
PMID:31935522
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7068703/
Abstract

Coupling of neuronal oscillations may reflect and facilitate the communication between neuronal populations. Two primary neuronal coupling modes have been described: phase-coupling and amplitude-coupling. Theoretically, both coupling modes are independent, but so far, their neuronal relationship remains unclear. Here, we combined MEG, source-reconstruction and simulations to systematically compare cortical amplitude-coupling and phase-coupling patterns in the human brain. Importantly, we took into account a critical bias of amplitude-coupling measures due to phase-coupling. We found differences between both coupling modes across a broad frequency range and most of the cortex. Furthermore, by combining empirical measurements and simulations we ruled out that these results were caused by methodological biases, but instead reflected genuine neuronal amplitude coupling. Our results show that cortical phase- and amplitude-coupling patterns are non-redundant, which may reflect at least partly distinct neuronal mechanisms. Furthermore, our findings highlight and clarify the compound nature of amplitude coupling measures.

摘要

神经元振荡的耦合可能反映和促进神经元群体之间的通信。已经描述了两种主要的神经元耦合模式:相位耦合和幅度耦合。从理论上讲,这两种耦合模式是独立的,但到目前为止,它们的神经元关系仍不清楚。在这里,我们结合 MEG、源重建和模拟,系统地比较了人类大脑中的皮质幅度耦合和相位耦合模式。重要的是,我们考虑了由于相位耦合而导致的幅度耦合测量的关键偏差。我们发现两种耦合模式在广泛的频率范围内和大部分皮层之间存在差异。此外,通过结合经验测量和模拟,我们排除了这些结果是由方法学偏差引起的,而是反映了真实的神经元幅度耦合。我们的研究结果表明,皮质的相位和幅度耦合模式是不可替代的,这可能至少部分反映了不同的神经元机制。此外,我们的研究结果突出并阐明了幅度耦合测量的复合性质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/67cb75a21a74/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/03b4c38fdbb9/gr1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/fa72bb057ffb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/83e1348e64f4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/b33ae466a8a7/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/1fdaea1ceddd/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/67cb75a21a74/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/03b4c38fdbb9/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/adb80bc5df9a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/fa72bb057ffb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/83e1348e64f4/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/b33ae466a8a7/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/1fdaea1ceddd/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f4f/7068703/67cb75a21a74/gr7.jpg

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