Centre for Fusion, Space and Astrophysics, Department of Physics, University of Warwick, Coventry, United Kingdom.
J Neurophysiol. 2012 Mar;107(5):1421-30. doi: 10.1152/jn.00817.2011. Epub 2011 Dec 14.
How do human brain networks react to dynamic changes in the sensory environment? We measured rapid changes in brain network organization in response to brief, discrete, salient auditory stimuli. We estimated network topology and distance parameters in the immediate central response period, <1 s following auditory presentation of standard tones interspersed with occasional deviant tones in a mismatch-negativity (MMN) paradigm, using magnetoencephalography (MEG) to measure synchronization of high-frequency (gamma band; 33-64 Hz) oscillations in healthy volunteers. We found that global small-world parameters of the networks were conserved between the standard and deviant stimuli. However, surprising or unexpected auditory changes were associated with local changes in clustering of connections between temporal and frontal cortical areas and with increased interlobar, long-distance synchronization during the 120- to 250-ms epoch (coinciding with the MMN-evoked response). Network analysis of human MEG data can resolve fast local topological reconfiguration and more long-range synchronization of high-frequency networks as a systems-level representation of the brain's immediate response to salient stimuli in the dynamically changing sensory environment.
人类大脑网络如何对感官环境中的动态变化做出反应?我们测量了大脑网络组织对短暂、离散、显著听觉刺激的快速变化。我们使用脑磁图 (MEG) 来测量健康志愿者高频 (伽马波段;33-64 Hz) 振荡的同步性,在标准音和偶尔出现的变异音之间的不匹配负波 (MMN) 范式中,估计了即时中枢反应期 (听觉呈现后 <1 秒) 的网络拓扑和距离参数。我们发现,网络的全局小世界参数在标准刺激和变异刺激之间是保守的。然而,令人惊讶或意外的听觉变化与颞叶和额叶皮质区域之间连接的聚类局部变化以及 120-250 毫秒时的脑区间、长距离同步性增加有关 (与 MMN 诱发的反应同时发生)。对人类 MEG 数据的网络分析可以解析快速的局部拓扑重新配置和高频网络的更远距离同步,作为大脑对动态变化的感官环境中显著刺激的即时反应的系统水平表示。