Brain dynamics in the comprehension of action-related language: A time frequency analysis of mu rhythms

I. Moreno, M. De Vega, I. León, MCM Bastiaansen, A. Glen Lewis, L. Magyari

Research output: Contribution to journalArticleScientificpeer-review

Abstract

EEG mu rhythms (8-13. Hz) recorded at fronto-central electrodes are generally considered as markers of motor cortical activity in humans, because they are modulated when participants perform an action, when they observe another's action or even when they imagine performing an action. In this study, we analyzed the time-frequency (TF) modulation of mu rhythms while participants read action language ("You will cut the strawberry cake"), abstract language ("You will doubt the patient's argument"), and perceptive language ("You will notice the bright day"). The results indicated that mu suppression at fronto-central sites is associated with action language rather than with abstract or perceptive language. Also, the largest difference between conditions occurred quite late in the sentence, while reading the first noun, (contrast Action vs. Abstract), or the second noun following the action verb (contrast Action vs. Perceptive). This suggests that motor activation is associated with the integration of words across the sentence beyond the lexical processing of the action verb. Source reconstruction localized mu suppression associated with action sentences in premotor cortex (BA 6). The present study suggests (1) that the understanding of action language activates motor networks in the human brain, and (2) that this activation occurs online based on semantic integration across multiple words in the sentence.
Original languageEnglish
Pages (from-to)50-62
JournalNeuroimage
Volume109
Issue numberApril
DOIs
Publication statusPublished - 2015

Keywords

  • Action language
  • Beta rhythms
  • Embodied meaning
  • Mu rhythms
  • Perceptive language

Fingerprint

Dive into the research topics of 'Brain dynamics in the comprehension of action-related language: A time frequency analysis of mu rhythms'. Together they form a unique fingerprint.

Cite this