Frequency-Dependent Intrinsic Electrophysiological Functional Architecture of the Human Verbal Language Network
Frequency-Dependent Intrinsic Electrophysiological Functional Architecture of the Human Verbal Language Network
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DOI：
10.3389/fnint.2020.00027
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发表时间：
2020-05-26
影响因子：
3.5
通讯作者：
De Tiege, Xavier
中科院分区：
文献类型：
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作者：
Coolen, Tim;Wens, Vincent;De Tiege, Xavier
功能磁共振成像(FMRI)可以对静息状态的言语语言网络(VLN)进行空间表征。虽然其他静息状态网络(RSN)与其静息时的电生理等价物相匹配，并且可以被频谱定义，但对于VLN来说，这种对应是缺乏的。这项脑磁图(MEG)研究的目的是确定VLN的神经磁性固有功能结构的空间光谱特征。记录了100名右利手健康成人(年龄范围：18-41岁)的静息脑磁活动。使用静态正交化作为泄漏校正，从放置在左侧Broca区的种子区开始，在频带内和频带之间(θ、α、β和低伽马)执行带限功率包络相关。K-均值聚类用于分离静息状态功能连接性(RsFC)的空间光谱簇。值得注意的是，与其他RSN不同的是，来自左侧Broca区的频率内远程rsFC不是由一个主要载波频率驱动的，而是具有沿腹侧(主要是theta和α)和背侧(β和低伽马频带)VLN流分离的特定空间谱模式的特征。相反，跨频VLN功能整合的空间模式在频谱上更为广泛，并涉及多个频段。此外，神经磁性人类VLN的静态内在功能结构包括明显的左半球主导的VLN相互作用以及与执行控制网络和DMN后内侧节点的跨网络相互作用。总体而言，本研究强调了在长程电生理VLN功能整合的基础上，涉及多种模式的内频和跨频功率包络耦合。因此，它为未来旨在了解语言相关障碍的病理生理学的工作奠定了基础。
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 (theta, alpha, beta, and low gamma) from a seed region placed in the left Broca's area, using static orthogonalization as leakage correction. K-means clustering was used to segregate spatio-spectral clusters of resting-state functional connectivity (rsFC). Remarkably, unlike other RSNs, within-frequency long-range rsFC from the left Broca's area was not driven by one main carrying frequency but was characterized by a specific spatio-spectral pattern segregated along the ventral (predominantly theta and alpha) and dorsal (beta and low-gamma bands) vLN streams. In contrast, spatial patterns of cross-frequency vLN functional integration were spectrally more widespread and involved multiple frequency bands. Moreover, the static intrinsic functional architecture of the neuromagnetic human vLN involved clearly left-hemisphere-dominant vLN interactions as well as cross-network interactions with the executive control network and postero-medial nodes of the DMN. Overall, this study highlighted the involvement of multiple modes of within and cross-frequency power envelope couplings at the basis of long-range electrophysiological vLN functional integration. As such, it lays the foundation for future works aimed at understanding the pathophysiology of language-related disorders.