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皮质传播波反映了人类连接组网络中局部区域的状态依赖层次序贯。

Cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network.

机构信息

Department of Complex and Intelligent Systems, School of Systems Information Science, Future University Hakodate, 116-2 Kameda-Nakano, Hakodate, Hokkaido, 041-8655, Japan.

出版信息

Sci Rep. 2022 Jan 10;12(1):334. doi: 10.1038/s41598-021-04169-9.

DOI:10.1038/s41598-021-04169-9
PMID:35013416
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8748796/
Abstract

Recent human studies using electrocorticography have demonstrated that alpha and theta band oscillations form traveling waves on the cortical surface. According to neural synchronization theories, the cortical traveling waves may group local cortical regions and sequence them by phase synchronization; however these contributions have not yet been assessed. This study aimed to evaluate the functional contributions of traveling waves using connectome-based network modeling. In the simulation, we observed stable traveling waves on the entire cortical surface wherein the topographical pattern of these phases was substantially correlated with the empirically obtained resting-state networks, and local radial waves also appeared within the size of the empirical networks (< 50 mm). Importantly, individual regions in the entire network were instantaneously sequenced by their internal frequencies, and regions with higher intrinsic frequency were seen in the earlier phases of the traveling waves. Based on the communication-through-coherence theory, this phase configuration produced a hierarchical organization of each region by unidirectional communication between the arbitrarily paired regions. In conclusion, cortical traveling waves reflect the intrinsic frequency-dependent hierarchical sequencing of local regions, global traveling waves sequence the set of large-scale cortical networks, and local traveling waves sequence local regions within individual cortical networks.

摘要

最近使用皮质电图的人类研究表明,alpha 和 theta 频段的振荡在皮质表面形成传播波。根据神经同步化理论,皮质传播波可能会将局部皮质区域分组,并通过相位同步对其进行排序;然而,这些贡献尚未得到评估。本研究旨在使用基于连接组的网络模型来评估传播波的功能贡献。在模拟中,我们观察到整个皮质表面上稳定的传播波,这些相位的地形模式与经验获得的静息状态网络高度相关,并且在经验网络的大小内也出现了局部径向波(<50 毫米)。重要的是,整个网络中的各个区域都通过其内部频率即时排序,并且在传播波的早期阶段,具有较高固有频率的区域出现得更早。根据相干性传递理论,这种相位配置通过任意配对区域之间的单向通信,为每个区域产生了一个分层组织。总之,皮质传播波反映了局部区域的固有频率依赖性的分层排序,全局传播波对大规模皮质网络的集合进行排序,而局部传播波对单个皮质网络内的局部区域进行排序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/645b2be6e82f/41598_2021_4169_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/edb9500accdf/41598_2021_4169_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/214b2da4d859/41598_2021_4169_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/b8e85d9fae5f/41598_2021_4169_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/dac9e693bbe1/41598_2021_4169_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/dcec108f8d72/41598_2021_4169_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/9cb373f2d93c/41598_2021_4169_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/596d4e7d9a91/41598_2021_4169_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/61924901d53e/41598_2021_4169_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/645b2be6e82f/41598_2021_4169_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/edb9500accdf/41598_2021_4169_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/214b2da4d859/41598_2021_4169_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/b8e85d9fae5f/41598_2021_4169_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/dac9e693bbe1/41598_2021_4169_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/dcec108f8d72/41598_2021_4169_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/9cb373f2d93c/41598_2021_4169_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/596d4e7d9a91/41598_2021_4169_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/61924901d53e/41598_2021_4169_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9240/8748796/645b2be6e82f/41598_2021_4169_Fig9_HTML.jpg

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