Frequency-specific network topologies in the resting human brain.

Frequency-specific network topologies in the resting human brain.
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DOI:
10.3389/fnhum.2014.01022
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发表时间:
2014
影响因子:
2.9
通讯作者:
Taga G
Taga G
中科院分区:
医学3区
文献类型:
--
作者:
Sasai S;Homae F;Watanabe H;Sasaki AT;Tanabe HC;Sadato N;Taga G

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社区是一组节点,它们之间有密集的连接,而不同的社区之间有稀疏的连接。集线器是具有高中心性的高度连接的节点。已经表明,“社区”和“枢纽”同时存在于大脑的功能连接网络(FCN)中,如通过功能磁共振成像(fMRI)信号变化(0.01-0.10 Hz)中的低频自发波动之间的相关性所估计的。这表明大脑具有促进信息分离和整合的空间组织。在这里,我们证明了特定频率的网络拓扑结构,隔离和集成的特点也存在于这个频率范围内。在研究87个脑区之间的相干谱时,我们发现两个频带,0.01-0.03 Hz(甚低频[VLF]带)和0.07-0.09 Hz(低频[LF]带),主要贡献于功能连接。比较图论指标的甚低频和低频波段显示,在前者的网络有较高的能力,确定社区之间的信息隔离比后者。VLF带的中枢主要位于前扣带皮层,而LF带的中枢则位于后扣带皮层和丘脑。因此,根据大脑活动的时间尺度,至少有两种不同的网络拓扑结构有助于信息分离和整合。这表明大脑本质上具有依赖于时间尺度的功能组织。
A community is a set of nodes with dense inter-connections, while there are sparse connections between different communities. A hub is a highly connected node with high centrality. It has been shown that both “communities” and “hubs” exist simultaneously in the brain's functional connectivity network (FCN), as estimated by correlations among low-frequency spontaneous fluctuations in functional magnetic resonance imaging (fMRI) signal changes (0.01–0.10 Hz). This indicates that the brain has a spatial organization that promotes both segregation and integration of information. Here, we demonstrate that frequency-specific network topologies that characterize segregation and integration also exist within this frequency range. In investigating the coherence spectrum among 87 brain regions, we found that two frequency bands, 0.01–0.03 Hz (very low frequency [VLF] band) and 0.07–0.09 Hz (low frequency [LF] band), mainly contributed to functional connectivity. Comparing graph theoretical indices for the VLF and LF bands revealed that the network in the former had a higher capacity for information segregation between identified communities than the latter. Hubs in the VLF band were mainly located within the anterior cingulate cortices, whereas those in the LF band were located in the posterior cingulate cortices and thalamus. Thus, depending on the timescale of brain activity, at least two distinct network topologies contributed to information segregation and integration. This suggests that the brain intrinsically has timescale-dependent functional organizations.
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