文章基本信息

标题：Kuramoto model simulation of neural hubs and dynamic synchrony in the human cerebral connectome
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作者：Ruben Schmidt ; Karl J. R. LaFleur ; Marcel A. de Reus 等
期刊名称：BMC Neuroscience
印刷版ISSN：1471-2202
电子版ISSN：1471-2202
出版年度：2015
卷号：16
期号：1
页码：1
DOI：10.1186/s12868-015-0193-z
语种：English
出版社：BioMed Central
摘要：Background The topological structure of the wiring of the mammalian brain cortex plays an important role in shaping the functional dynamics of large-scale neural activity. Due to their central embedding in the network, high degree hub regions and their connections (often referred to as the ‘rich club’) have been hypothesized to facilitate intermodular neural communication and global integration of information by means of synchronization. Here, we examined the theoretical role of anatomical hubs and their wiring in brain dynamics. The Kuramoto model was used to simulate interaction of cortical brain areas by means of coupled phase oscillators—with anatomical connections between regions derived from diffusion weighted imaging and module assignment of brain regions based on empirically determined resting-state data. Results Our findings show that synchrony among hub nodes was higher than any module’s intramodular synchrony ( p < 10⁻⁴, for cortical coupling strengths, λ , in the range 0.02 < λ < 0.05), suggesting that hub nodes lead the functional modules in the process of synchronization. Furthermore, suppressing structural connectivity among hub nodes resulted in an elevated modular state ( p < 4.1 × l0⁻³, 0.015 < λ < 0.04), indicating that hub-to-hub connections are critical in intermodular synchronization. Finally, perturbing the oscillatory behavior of hub nodes prevented functional modules from synchronizing, implying that synchronization of functional modules is dependent on the hub nodes’ behavior. Conclusion Our results converge on anatomical hubs having a leading role in intermodular synchronization and integration in the human brain.
关键词：Hub node ; Structural connectivity ; Neural synchronization ; Cortical coupling ; Suppression ; Perturbation