Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Nat Neurosci. 2012 Jun;15(6):884-90. doi: 10.1038/nn.3101.
Little is known about the brain-wide correlation of electrophysiological signals. We found that spontaneous oscillatory neuronal activity exhibited 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. 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.
目前对于大脑中电生理信号的整体相关性还知之甚少。我们发现自发振荡神经元活动在人类大脑中表现出具有频率特异性的空间相关结构。我们开发了一种分析方法，可以排除由于电生理测量的空间分辨率有限而导致的信号功率的虚假相关性。我们将这种方法应用于从脑磁图重建的自发神经元活动的源估计。总的来说，皮质区域之间的功率相关性在 alpha 到 beta 频带（8-32 Hz）最强，相关性模式取决于基础振荡频率。全局中枢位于theta 频带（4-6 Hz）的内侧颞叶、alpha 到 beta 频带（8-23 Hz）的外侧顶叶区域以及更高频率（32-45 Hz）的感觉运动区域。我们的数据表明，各种大规模皮质网络中的相互作用可能反映在特定频率的功率包络相关性中。
