Frequency-specific directed interactions in the human brain network for language

Frequency-specific directed interactions in the human brain network for language

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 cau...

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Published in:Proceedings of the National Academy of Sciences - PNAS Vol. 114; no. 30; pp. 8083 - 8088
Main Authors: Schoffelen, Jan-Mathijs, Hultén, Annika, Lam, Nietzsche, Marquand, André F., Uddén, Julia, Hagoort, Peter
Format: Journal Article
Language:English
Published: United States National Academy of Sciences 25-07-2017
Subjects:
Adolescent
Adult
Biological Sciences
Brain
Brain - physiology
Causality
Cognition & reasoning
Computer networks
Cortex (frontal)
Female
Humans
Information flow
Language
Magnetoencephalography
Male
Matrix
Natural language processing
Sentences
Speech - physiology
Temporal cortex
Topology
Young Adult
language
brain networks
magnetoencephalography
Granger causality
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Summary: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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2Present address: Department of Neuroscience and Biomedical Engineering, Aalto University, FI-00076 Helsinki, Finland.
Author contributions: A.H., J.U., and P.H. designed research; J.-M.S., A.H., N.L., and J.U. performed research; J.-M.S. contributed new reagents/analytic tools; J.-M.S. and A.F.M. analyzed data; J.-M.S. and P.H. wrote the paper; and A.H., N.L., and A.F.M. helped with part of the analysis.
3Present address: Department of Linguistics and Stockholm University Brain Imaging Centre, University of Stockholm, SE-106 91 Stockholm, Sweden.
Edited by Barry Giesbrecht, University of California, Santa Barbara, CA, and accepted by Editorial Board Member Michael S. Gazzaniga June 8, 2017 (received for review February 23, 2017)
ISSN:0027-8424
1091-6490
1091-6490
DOI:10.1073/pnas.1703155114