Literature DB >> 21853063

Strength of word-specific neural memory traces assessed electrophysiologically.

Alexander A Alexandrov1, Daria O Boricheva, Friedemann Pulvermüller, Yury Shtyrov.   

Abstract

Memory traces for words are frequently conceptualized neurobiologically as networks of neurons interconnected via reciprocal links developed through associative learning in the process of language acquisition. Neurophysiological reflection of activation of such memory traces has been reported using the mismatch negativity brain potential (MMN), which demonstrates an enhanced response to meaningful words over meaningless items. This enhancement is believed to be generated by the activation of strongly intraconnected long-term memory circuits for words that can be automatically triggered by spoken linguistic input and that are absent for unfamiliar phonological stimuli. This conceptual framework critically predicts different amounts of activation depending on the strength of the word's lexical representation in the brain. The frequent use of words should lead to more strongly connected representations, whereas less frequent items would be associated with more weakly linked circuits. A word with higher frequency of occurrence in the subject's language should therefore lead to a more pronounced lexical MMN response than its low-frequency counterpart. We tested this prediction by comparing the event-related potentials elicited by low- and high-frequency words in a passive oddball paradigm; physical stimulus contrasts were kept identical. We found that, consistent with our prediction, presenting the high-frequency stimulus led to a significantly more pronounced MMN response relative to the low-frequency one, a finding that is highly similar to previously reported MMN enhancement to words over meaningless pseudowords. Furthermore, activation elicited by the higher-frequency word peaked earlier relative to low-frequency one, suggesting more rapid access to frequently used lexical entries. These results lend further support to the above view on word memory traces as strongly connected assemblies of neurons. The speed and magnitude of their activation appears to be linked to the strength of internal connections in a memory circuit, which is in turn determined by the everyday use of language elements.

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Year:  2011        PMID: 21853063      PMCID: PMC3154264          DOI: 10.1371/journal.pone.0022999

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  43 in total

Review 1.  Words in the brain's language.

Authors:  F Pulvermüller
Journal:  Behav Brain Sci       Date:  1999-04       Impact factor: 12.579

2.  Memory traces for words as revealed by the mismatch negativity.

Authors:  F Pulvermüller; T Kujala; Y Shtyrov; J Simola; H Tiitinen; P Alku; K Alho; S Martinkauppi; R J Ilmoniemi; R Näätänen
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3.  Determinants of dominance: is language laterality explained by physical or linguistic features of speech?

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4.  Newly learned spoken words show long-term lexical competition effects.

Authors:  Jakke Tamminen; M Gareth Gaskell
Journal:  Q J Exp Psychol (Hove)       Date:  2008-03       Impact factor: 2.143

Review 5.  The mismatch negativity (MMN) in basic research of central auditory processing: a review.

Authors:  R Näätänen; P Paavilainen; T Rinne; K Alho
Journal:  Clin Neurophysiol       Date:  2007-10-10       Impact factor: 3.708

6.  Arabic morphology in the neural language system.

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7.  Early differential processing of verbs and nouns in the human brain as indexed by event-related brain potentials.

Authors:  Anna S Hasting; István Winkler; Sonja A Kotz
Journal:  Eur J Neurosci       Date:  2008-03       Impact factor: 3.386

8.  The TRACE model of speech perception.

Authors:  J L McClelland; J L Elman
Journal:  Cogn Psychol       Date:  1986-01       Impact factor: 3.468

9.  Functional parallelism in spoken word-recognition.

Authors:  W D Marslen-Wilson
Journal:  Cognition       Date:  1987-03

Review 10.  Mismatch negativity--a unique measure of sensory processing in audition.

Authors:  R Näätänen; K Alho
Journal:  Int J Neurosci       Date:  1995       Impact factor: 2.292

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  16 in total

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2.  Spatio-temporal dynamics of automatic processing of phonological information in visual words.

Authors:  Xiao-Dong Wang; Yin-Yuan Wu; Peng Wang
Journal:  Sci Rep       Date:  2013-12-12       Impact factor: 4.379

3.  Referent's Lexical Frequency Predicts Mismatch Negativity Responses to New Words Following Semantic Training.

Authors:  Aleksander A Aleksandrov; Kristina S Memetova; Lyudmila N Stankevich; Veronika M Knyazeva; Yury Shtyrov
Journal:  J Psycholinguist Res       Date:  2020-04

4.  Linguistic category structure influences early auditory processing: Converging evidence from mismatch responses and cortical oscillations.

Authors:  Mathias Scharinger; Philip J Monahan; William J Idsardi
Journal:  Neuroimage       Date:  2016-01-11       Impact factor: 6.556

5.  Fast mapping of novel word forms traced neurophysiologically.

Authors:  Yury Shtyrov
Journal:  Front Psychol       Date:  2011-11-21

6.  A sparse neural code for some speech sounds but not for others.

Authors:  Mathias Scharinger; Alexandra Bendixen; Nelson J Trujillo-Barreto; Jonas Obleser
Journal:  PLoS One       Date:  2012-07-16       Impact factor: 3.240

7.  Multiple routes for compound word processing in the brain: evidence from EEG.

Authors:  Lucy J MacGregor; Yury Shtyrov
Journal:  Brain Lang       Date:  2013-06-22       Impact factor: 2.381

8.  Automatic processing of unattended lexical information in visual oddball presentation: neurophysiological evidence.

Authors:  Yury Shtyrov; Galina Goryainova; Sergei Tugin; Alexey Ossadtchi; Anna Shestakova
Journal:  Front Hum Neurosci       Date:  2013-08-09       Impact factor: 3.169

9.  They played with the trade: MEG investigation of the processing of past tense verbs and their phonological twins.

Authors:  Rachel Holland; Lisa Brindley; Yury Shtyrov; Friedemann Pulvermüller; Karalyn Patterson
Journal:  Neuropsychologia       Date:  2012-10-24       Impact factor: 3.139

10.  An ERP study of good production vis-à-vis poor perception of tones in Cantonese: implications for top-down speech processing.

Authors:  Sam-Po Law; Roxana Fung; Carmen Kung
Journal:  PLoS One       Date:  2013-01-16       Impact factor: 3.240

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