Frontiers in Integrative Neuroscience ( IF 2.6 ) Pub Date : 2020-04-16 , DOI: 10.3389/fnint.2020.00027 Tim Coolen 1, 2 , Vincent Wens 1, 3 , Marc Vander Ghinst 1 , Alison Mary 4 , Mathieu Bourguignon 1, 5, 6 , Gilles Naeije 1 , Philippe Peigneux 4 , Niloufar Sadeghi 2 , Serge Goldman 1, 3 , Xavier De Tiège 1, 3
Functional magnetic resonance imaging (fMRI) allowed the spatial characterization of the resting-state verbal language network (vLN). While other resting-state networks (RSNs) were matched with their electrophysiological equivalents at rest and could be spectrally defined, such correspondence is lacking for the vLN. This magnetoencephalography (MEG) study aimed at defining the spatio-spectral characteristics of the neuromagnetic intrinsic functional architecture of the vLN. Neuromagnetic activity was recorded at rest in 100 right-handed healthy adults (age range: 18–41 years). Band-limited power envelope correlations were performed within and across frequency bands (θ, α, β, and low γ) from a seed region placed in the left Broca’s area, using static orthogonalization as leakage correction.
中文翻译:
人类语言网络的频率相关的固有电生理功能架构。
功能磁共振成像(fMRI)可以对静态语言语言网络(vLN)进行空间表征。尽管其他静止状态网络(RSN)与静止状态下的电生理等效项可以匹配并可以进行频谱定义,但vLN缺乏这种对应关系。这项磁脑图(MEG)研究旨在定义vLN的神经磁固有功能结构的时空光谱特征。100名右撇子健康成年人(年龄范围:18-41岁)在休息时记录了其神经磁活动。使用静态正交化作为泄漏校正,在位于左侧Broca区域中的种子区域内和跨频带(θ,α,β和低γ)进行跨频带限制的功率包络相关。