Literature DB >> 11043546

ERP analysis of cognitive sequencing: a left anterior negativity related to structural transformation processing.

M Hoen1, P F Dominey.   

Abstract

A major objective of cognitive neuroscience is to identify those neurocomputational processes that may be shared by multiple cognitive functions vs those that are highly specific. This problem of identifying general vs specialized functions is of particular interest in the domain of language processing. Within this domain, event related brain potential (ERP) studies have demonstrated a left anterior negativity (LAN) in a range 300-700 ms, associated with syntactic processing, often linked to grammatical function words. These words have little or no semantic content, but rather play a role in encoding syntactic structure required for parsing. In the current study we test the hypothesis that the LAN reflects the operation of a more general sequence processing capability in which special symbols encode structural information that, when combined with past elements in the sequence, allows the prediction of successor elements. We recorded ERPs during a non-linguistic sequencing task that required subjects (n = 10) to process special symbols possessing the functional property defined above. When compared to ERPs in a control condition, function symbol processing elicits a left anterior negative shift between temporal and spatial characteristics quite similar to the LAN described during function word processing in language, supporting our hypothesis. These results are discussed in the context of related studies of syntactic and cognitive sequence processing.

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Year:  2000        PMID: 11043546     DOI: 10.1097/00001756-200009280-00028

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  10 in total

1.  Neurophysiology of Hungarian subject-verb dependencies with varying intervening complexity.

Authors:  Hajnal Jolsvai; Elyse Sussman; Roland Csuhaj; Valéria Csépe
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2.  An ERP study of regular and irregular English past tense inflection.

Authors:  Aaron J Newman; Michael T Ullman; Roumyana Pancheva; Diane L Waligura; Helen J Neville
Journal:  Neuroimage       Date:  2006-10-27       Impact factor: 6.556

3.  Similar Neural Correlates for Language and Sequential Learning: Evidence from Event-Related Brain Potentials.

Authors:  Morten H Christiansen; Christopher M Conway; Luca Onnis
Journal:  Lang Cogn Process       Date:  2012-01-01

4.  The grammar of visual narrative: Neural evidence for constituent structure in sequential image comprehension.

Authors:  Neil Cohn; Ray Jackendoff; Phillip J Holcomb; Gina R Kuperberg
Journal:  Neuropsychologia       Date:  2014-09-18       Impact factor: 3.139

5.  Timing matters: the impact of immediate and delayed feedback on artificial language learning.

Authors:  Bertram Opitz; Nicola K Ferdinand; Axel Mecklinger
Journal:  Front Hum Neurosci       Date:  2011-02-01       Impact factor: 3.169

6.  ERP evidence for different strategies in the processing of case markers in native speakers and non-native learners.

Authors:  Jutta L Mueller; Masako Hirotani; Angela D Friederici
Journal:  BMC Neurosci       Date:  2007-03-02       Impact factor: 3.288

7.  What is your neural function, visual narrative conjunction? Grammar, meaning, and fluency in sequential image processing.

Authors:  Neil Cohn; Marta Kutas
Journal:  Cogn Res Princ Implic       Date:  2017-05-24

8.  Memory for stimulus sequences: a divide between humans and other animals?

Authors:  Stefano Ghirlanda; Johan Lind; Magnus Enquist
Journal:  R Soc Open Sci       Date:  2017-06-21       Impact factor: 2.963

9.  Recurrent temporal networks and language acquisition-from corticostriatal neurophysiology to reservoir computing.

Authors:  Peter F Dominey
Journal:  Front Psychol       Date:  2013-08-05

Review 10.  Neurocognitive mechanisms of statistical-sequential learning: what do event-related potentials tell us?

Authors:  Jerome Daltrozzo; Christopher M Conway
Journal:  Front Hum Neurosci       Date:  2014-06-18       Impact factor: 3.169

  10 in total

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