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Reconfiguration of large‐scale functional connectivity in patients with disorders of consciousness

机译:意识障碍患者大规模功能连通性重新配置

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Introduction Functional connectivity alterations within individual resting state networks (RSNs) are linked to disorders of consciousness (DOC). If these alterations influence the interaction quality with other RNSs, then, brain alterations in patients with DOC would be characterized by connectivity changes in the large‐scale model composed of RSNs. How are functional interactions between RSNs influenced by internal alterations of individual RSNs? Do the functional alterations induced by DOC change some key properties of the large‐scale network, which have been suggested to be critical for the consciousness emergence? Here, we use network analysis to measure functional connectivity in patients with DOC and address these questions. We hypothesized that network properties provide descriptions of brain functional reconfiguration associated with consciousness alterations. Methods We apply nodal and global network measurements to study the reconfiguration linked with the disease severity. We study changes in integration, segregation, and centrality properties of the functional connectivity between the RSNs in subjects with different levels of consciousness. Results Our analysis indicates that nodal measurements are more sensitive to disease severity than global measurements, particularly, for functional connectivity of sensory and cognitively related RSNs. Conclusion The network property alterations of functional connectivity in different consciousness levels suggest a whole‐brain topological reorganization of the large‐scale functional connectivity in patients with DOC.
机译:简介各个休息状态网络(RSNS)内的功能连接改变与意识(DOC)的障碍相关联。如果这些改变对其他RNSS影响相互作用,那么,DOC患者的脑改变将以RSN组成的大规模模型的连接变化为特征。 RSN之间的功能相互作用如何受到个人RSN的内部变更的影响? DOC诱导的功能改变是否改变了大规模网络的一些关键属性,这已被建议对意识出现至关重要?在这里,我们使用网络分析来测量DOC患者的功能连接,并解决这些问题。我们假设网络属性提供了与意识改变相关的大脑功能重新配置的描述。方法采用节点和全局网络测量来研究与疾病严重程度相关的重新配置。我们研究具有不同意识水平的RSN之间的RSN之间的功能连接的集成,隔离和中心性的变化。结果我们的分析表明节点测量比全局测量更敏感,特别是对于感官和认知相关RSN的功能连通性。结论不同意识水平功能连通性的网络性能改变表明,文档患者大规模功能连通性的全脑拓扑重组。

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