Large-scale cortical correlation structure of spontaneous oscillatory activity.-猫眼课题宝

DOI：

10.1038/nn.3101

发表时间：

2012-06

期刊：

Nature neuroscience

影响因子：

通讯作者：

中科院分区：

医学1区

文献类型：

作者：

来源链接：

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3861400/?report=classic

关于电生理信号的全脑相关性知之甚少。在这里，我们表明，自发振荡神经元活动表现出频率特定的空间相关结构在人脑中。我们开发了一种分析方法，折扣虚假相关的信号功率所造成的有限的空间分辨率的电生理措施。我们应用这种方法的源估计重建脑磁图（MEG）的自发神经元活动。总的来说，在α到β频率范围（8-32 Hz）中，皮层区域之间的功率相关性最强，相关模式取决于潜在的振荡频率。在θ频率范围（4-6 Hz）内，全球枢纽位于内侧颞叶，在α至β频率范围（8-23 Hz）内，在外侧顶叶区域，以及在更高频率（32-45 Hz）的感觉运动区域。我们的数据表明，在各种大规模的皮层网络的相互作用可能会反映在频率特定的功率包络的相关性。

Little is known about the brain-wide correlation of electrophysiological signals. Here we show that spontaneous oscillatory neuronal activity exhibits frequency-specific spatial correlation structure in the human brain. We developed an analysis approach that discounts spurious correlation of signal power caused by the limited spatial resolution of electrophysiological measures. We applied this approach to source estimates of spontaneous neuronal activity reconstructed from magnetoencephalography (MEG). Overall, correlation of power across cortical regions was strongest in the alpha to beta frequency range (8–32 Hz) and correlation patterns depended on the underlying oscillation frequency. Global hubs resided in the medial temporal lobe in the theta frequency range (4–6 Hz), in lateral parietal areas in the alpha to beta frequency range (8–23 Hz), and in sensorimotor areas for higher frequencies (32–45 Hz). Our data suggest that interactions in various large-scale cortical networks may be reflected in frequency specific power-envelope correlations.