Literature DB >> 17854281

Early MEG activation dynamics in the left temporal and inferior frontal cortex reflect semantic context integration.

Yury Shtyrov1, Friedemann Pulvermüller.   

Abstract

Traditional views link semantic context integration to neurophysiological activity at 300-500 msec. To study possible early dynamics related to semantic context integration, we recorded, in passive oddball paradigm, magnetic evoked responses to spoken word pairs, the second word being either congruent or incongruent with the first one. The same experimental words were placed in orthogonally varied context, thus providing a strict control for any effects of acoustic, phonological, and psycholinguistic stimulus features. Responses to the same critical words were obtained also outside of semantic context. We found that regardless of their acoustic features, semantically incongruent stimuli elicited a brain response already at approximately 115 msec after the critical word onset. The same words did not produce such deflection in semantically legal context. The responses were maximal at left temporal and inferior frontal cortical sites, which was also confirmed by distributed current source analysis. The left temporal activation preceded the frontal one by approximately 16 msec. No late response dynamics (>350 msec) were found that would reflect the semantic modulation in this nonattend passive design, indicating the possible role of attention in generating the later responses. Our results suggest that the earliest brain processes of semantic context integration can occur at approximately 100 msec after the onset of spoken words in the left inferior frontal and superior temporal cortex.

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Year:  2007        PMID: 17854281     DOI: 10.1162/jocn.2007.19.10.1633

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  21 in total

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Review 2.  Understanding in an instant: neurophysiological evidence for mechanistic language circuits in the brain.

Authors:  Friedemann Pulvermüller; Yury Shtyrov; Olaf Hauk
Journal:  Brain Lang       Date:  2009-08-06       Impact factor: 2.381

3.  Neural signatures of phonetic learning in adulthood: a magnetoencephalography study.

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Journal:  Neuroimage       Date:  2009-01-29       Impact factor: 6.556

4.  Does the sound of a barking dog activate its corresponding visual form? An fMRI investigation of modality-specific semantic access.

Authors:  Jamie Reilly; Amanda Garcia; Richard J Binney
Journal:  Brain Lang       Date:  2016-06-09       Impact factor: 2.381

5.  Attention to language: novel MEG paradigm for registering involuntary language processing in the brain.

Authors:  Yury Shtyrov; Marie L Smith; Aidan J Horner; Richard Henson; Pradeep J Nathan; Edward T Bullmore; Friedemann Pulvermüller
Journal:  Neuropsychologia       Date:  2012-07-20       Impact factor: 3.139

6.  Ultra-rapid access to words in the brain.

Authors:  Lucy J MacGregor; Friedemann Pulvermüller; Maarten van Casteren; Yury Shtyrov
Journal:  Nat Commun       Date:  2012-02-28       Impact factor: 14.919

7.  Ultra-rapid access to words in chronic aphasia: the effects of intensive language action therapy (ILAT).

Authors:  Lucy J MacGregor; Stephanie Difrancesco; Friedemann Pulvermüller; Yury Shtyrov; Bettina Mohr
Journal:  Brain Topogr       Date:  2014-11-18       Impact factor: 3.020

8.  Grasping ideas with the motor system: semantic somatotopy in idiom comprehension.

Authors:  Véronique Boulenger; Olaf Hauk; Friedemann Pulvermüller
Journal:  Cereb Cortex       Date:  2008-12-09       Impact factor: 5.357

9.  Motion words selectively modulate direction discrimination sensitivity for threshold motion.

Authors:  Andrea Pavan; Māris Skujevskis; Giosuè Baggio
Journal:  Front Hum Neurosci       Date:  2013-04-10       Impact factor: 3.169

10.  Effects of attention on what is known and what is not: MEG evidence for functionally discrete memory circuits.

Authors:  Max Garagnani; Yury Shtyrov; Friedemann Pulvermüller
Journal:  Front Hum Neurosci       Date:  2009-06-30       Impact factor: 3.169

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