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

Research output: Contribution to journalArticleScientificpeer-review

Researchers

  • Jan-Mathijs Schoffelen
  • Annika Hulten

  • Nietzsche Lam
  • Andre F. Marquand
  • Julia Udden
  • Peter Hagoort

Research units

  • Max Planck Inst Psycholinguist, Max Planck Society
  • Radboud Univ Nijmegen, Radboud University Nijmegen, Donders Inst Brain Cognit & Behav

Abstract

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.

Details

Original languageEnglish
Pages (from-to)8083-8088
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume114
Issue number30
Publication statusPublished - 25 Jul 2017
MoE publication typeA1 Journal article-refereed

    Research areas

  • language, Granger causality, brain networks, magnetoencephalography, GRANGER CAUSALITY, GAMMA OSCILLATIONS, VISUAL AREAS, FEEDFORWARD, PATHWAYS, FEEDBACK, ALPHA, SYNCHRONIZATION, COHERENCE, RHYTHMS

ID: 17077340