Redundancy as a graph-based index of frequency specific MEG functional connectivity.

Redundancy as a graph-based index of frequency specific MEG functional connectivity.
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DOI:
10.1155/2012/207305
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发表时间:
2012
影响因子:
--
通讯作者:
Pizzella V
Pizzella V
中科院分区:
工程技术4区
文献类型:
--
作者:
Di Lanzo C;Marzetti L;Zappasodi F;De Vico Fallani F;Pizzella V

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我们使用最近提出的图索引来研究静息状态MEG记录中的连接冗余。通常,大脑网络分析考虑与大脑区域之间的最短路径相关的指标。然而,忽略较长的路径可能会丢失关于替代路径的重要信息。 我们通过考虑全局级别的多条路径来测量连接的冗余度(即,标量冗余),跨越不同的路径长度(即,向量冗余),以及节点对之间(即,矩阵冗余)。我们将这种方法应用于一个强大的频域功能连接性测量,校正虚部的相干性。对于每个频带,MEG网络中的冗余度显著(P < 0.05)高于随机图中的冗余度,因此,证实了大脑在不同专门区域之间呈现多个相互作用路径的自然趋势。值得注意的是,这种差异更明显,并局限于覆盖顶枕区的通道中,在MEG振荡的α范围(7.5-13 Hz),如在静息状态条件下所预期的。 有趣的是,冗余索引获得的结果与仅使用最短路径获得的结果相关性很差,并且相对于通过考虑基于行走的索引获得的结果更敏感。
We used a recently proposed graph index to investigate connectivity redundancy in resting state MEG recordings. Usually, brain network analyses consider indexes linked to the shortest paths between cerebral regions. However, important information might be lost about alternative trails by neglecting longer pathways. We measured the redundancy of the connectivity by considering the multiple paths at the global level (i.e., scalar redundancy), across different path lengths (i.e., vector redundancy), and between node pairs (i.e., matrix redundancy). We applied this approach to a robust frequency domain functional connectivity measure, the corrected imaginary part of coherence. The redundancy in the MEG networks, for each frequency band, was significantly (P < 0.05) higher than in the random graphs, thus, confirming a natural tendency of the brain to present multiple interaction pathways between different specialized areas. Notably, this difference was more evident and localized among the channels covering the parietooccipital areas in the alpha range of MEG oscillations (7.5–13 Hz), as expected in the resting state conditions. Interestingly enough, the results obtained with the redundancy indexes were poorly correlated with those obtained using shortest paths only, and more sensitive with respect to those obtained by considering walk-based indexes.
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