Frequency-specific directed interactions in the human brain network for language
Number of pages
SourceProceedings of the National Academy of Sciences USA, 114, 30, (2017), pp. 8083-8088
Article / Letter to editor
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PI Group Neurobiology of Language
PI Group Statistical Imaging Neuroscience
SW OZ DCC PL
Proceedings of the National Academy of Sciences USA
Subject110 000 Neurocognition of Language; 220 Statistical Imaging Neuroscience; DI-BCB_DCC_Theme 1: Language and Communication; Psycholinguistics; Radboudumc 7: Neurodevelopmental disorders DCMN: Donders Center for Medical Neuroscience
The brain's remarkable capacity for language requires bidirectional interactions between functionally specialized brain regions. We used magnetoencephalography to investigate interregional interactions in the brain network for language while 102 participants were reading sentences. Using Granger causality analysis, we identified inferior frontal cortex and anterior temporal regions to receive widespread input and middle temporal regions to send widespread output. This fits well with the notion that these regions play a central role in language processing. Characterization of the functional topology of this network, using data-driven matrix factorization, which allowed for partitioning into a set of subnetworks, revealed directed connections at distinct frequencies of interaction. Connections originating from temporal regions peaked at alpha frequency, whereas connections originating from frontal and parietal regions peaked at beta frequency. These findings indicate that the information flow between language-relevant brain areas, which is required for linguistic processing, may depend on the contributions of distinct brain rhythms.
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