Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University , Nanjing , China.
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University , Nanjing , China ; School of Computer Science and Electronic Engineering, University of Essex , Colchester , UK.
Front Hum Neurosci. 2014 Jun 11;8:430. doi: 10.3389/fnhum.2014.00430. eCollection 2014.
As enhanced fronto-parietal network has been suggested to support reasoning ability of math-gifted adolescents, the main goal of this EEG source analysis is to investigate the temporal binding of the gamma-band (30-60 Hz) synchronization between frontal and parietal cortices in adolescents with exceptional mathematical ability, including the functional connectivity of gamma neurocognitive network, the temporal dynamics of fronto-parietal network (phase-locking durations and network lability in time domain), and the self-organized criticality of synchronizing oscillation. Compared with the average-ability subjects, the math-gifted adolescents show a highly integrated fronto-parietal network due to distant gamma phase-locking oscillations, which is indicated by lower modularity of the global network topology, more "connector bridges" between the frontal and parietal cortices and less "connector hubs" in the sensorimotor cortex. The time domain analysis finds that, while maintaining more stable phase dynamics of the fronto-parietal coupling, the math-gifted adolescents are characterized by more extensive fronto-parietal connection reconfiguration. The results from sample fitting in the power-law model further find that the phase-locking durations in the math-gifted brain abides by a wider interval of the power-law distribution. This phase-lock distribution mechanism could represent a relatively optimized pattern for the functional binding of frontal-parietal network, which underlies stable fronto-parietal connectivity and increases flexibility of timely network reconfiguration.
由于增强的额顶网络被认为支持数学天赋青少年的推理能力，因此这项 EEG 源分析的主要目标是研究具有非凡数学能力的青少年的额顶皮质之间的伽马波段（30-60Hz）同步的时间绑定，包括伽马神经认知网络的功能连接、额顶网络的时间动态（时域中的锁相持续时间和网络不稳定性）以及同步振荡的自组织临界性。与平均能力的受试者相比，数学天赋青少年由于远距离的伽马锁相振荡而显示出高度整合的额顶网络，这表现为全局网络拓扑的模块性更低、额顶皮质之间的“连接桥”更多，而感觉运动皮质中的“连接枢纽”更少。时域分析发现，在保持额顶耦合更稳定的相位动力学的同时，数学天赋青少年的特点是额顶连接的重构更为广泛。幂律模型中的样本拟合结果进一步发现，数学天赋大脑中的锁相持续时间符合幂律分布的更宽间隔。这种相位锁定分布机制可以代表额顶网络功能结合的一种相对优化模式，它以稳定的额顶连接为基础，并增加了及时网络重新配置的灵活性。
