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Frequency-Dependent Intrinsic Electrophysiological Functional Architecture of the Human Verbal Language Network.
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
Affiliation  

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. 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 θ and α) and dorsal (β and low-γ 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.



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。ķ-均值聚类用于隔离静止状态功能连接性(rsFC)的时空谱群集。值得注意的是,与其他RSN不同,来自左Broca区域的频率内远程rsFC不受一个主载频驱动,但其特征是沿腹侧(主要是θ和α)和背侧(β和低γ波段)vLN流。相反,跨频vLN功能集成的空间模式在频谱上更为广泛,涉及多个频带。此外,神经磁性人vLN的静态固有功能体系结构显然涉及左半球占主导的vLN交互以及与DMN的执行控制网络和后内侧节点的跨网络交互。总体,这项研究强调了在远距离电生理vLN功能整合的基础上,内和跨频功率包络耦合的多种模式的参与。因此,它为以后旨在理解语言相关疾病的病理生理学的工作奠定了基础。

更新日期:2020-04-16
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