Structural and functional, empirical and modeled connectivity in the cerebral cortex of the rat.

Structural and functional, empirical and modeled connectivity in the cerebral cortex of the rat.
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DOI:
10.1016/j.neuroimage.2017.07.046
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发表时间:
2017-10-01
期刊:
影响因子:
5.7
通讯作者:
Sporns O
Sporns O
中科院分区:
医学1区
文献类型:
--
作者:
Díaz-Parra A;Osborn Z;Canals S;Moratal D;Sporns O

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来自动物模型的连接组学数据为揭示哺乳动物大脑结构和功能之间复杂的相互作用提供了宝贵的机会。在这项工作中,我们通过对已发表的追踪数据进行精心策划的荟萃分析,以及从14只麻醉的Wistar大鼠获得的静息状态功能MRI数据,建立了一个定向解剖网络,研究了大鼠大脑皮层结构和功能连接之间的关系。我们发现功能连接的强度(以皮质区域之间的血氧水平依赖(BOLD)信号相关性来衡量)与连接组图中相应解剖链接的权重之间存在高度对应关系(最大Spearman秩序相关性ρ = 0.48)。在网络层面上,属于同一功能定义群落的区域相对于位于不同群落的区域,彼此之间往往形成更多的相互加权连接。我们进一步发现静息状态网络中的功能群落富含密集连接的解剖基序。重要的是,这些高阶结构子图不能用低阶拓扑特性来解释,这表明密集的结构模式支持静息大脑的功能关联。基于经验大鼠解剖连接组的神经质量模型的全脑静息状态活动模拟表明,模拟的功能连接与测量的功能连接之间存在高度相关性(最大Pearson相关ρ = 0.53),进一步表明结构连接的拓扑结构在形成功能性皮质网络中起着重要作用。
Connectomics data from animal models provide an invaluable opportunity to reveal the complex interplay between structure and function in the mammalian brain. In this work, we investigate the relationship between structural and functional connectivity in the rat brain cortex using a directed anatomical network generated from a carefully curated meta-analysis of published tracing data, along with resting-state functional MRI data obtained from a group of 14 anesthetized Wistar rats. We found a high correspondence between the strength of functional connections, measured as blood oxygen level dependent (BOLD) signal correlations between cortical regions, and the weight of the corresponding anatomical links in the connectome graph (maximum Spearman rank-order correlation ρ = 0.48). At the network-level, regions belonging to the same functionally defined community tend to form more mutual weighted connections between each other compared to regions located in different communities. We further found that functional communities in resting-state networks are enriched in densely connected anatomical motifs. Importantly, these higher-order structural subgraphs cannot be explained by lower-order topological properties, suggesting that dense structural patterns support functional associations in the resting brain. Simulations of brain-wide resting-state activity based on neural mass models implemented on the empirical rat anatomical connectome demonstrated high correlation between the simulated and the measured functional connectivity (maximum Pearson correlation ρ = 0.53), further suggesting that the topology of structural connections plays an important role in shaping functional cortical networks.
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