ArticleFrontiers in integrative neuroscience2020
Frequency-Dependent Intrinsic Electrophysiological Functional Architecture of the Human Verbal Language Network.
Article in Frontiers in integrative neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Functional identification of language-responsive sensors in individual participants in MEG investigations.Journal of neurophysiology · 2026Article
- Comparison of lateralization and spatial patterns of hemodynamic and neuromagnetic language brain mapping.Clinical neurophysiology practice · 2025Article
- Aberrant neurophysiological signaling associated with speech impairments in Parkinson's disease.NPJ Parkinson's disease · 2023Article
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Authors and funding
10 authors at 3 institutions in 2 countries.
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Abstract
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.
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