Literature DB >> 23707682

Is the N400 effect a neurophysiological index of associative relationships?

Daniele Ortu1, Kevin Allan, David I Donaldson.   

Abstract

The N400 is one of the most widely studied ERP components and has come to be viewed as an index of the semantic processing that relates distinct stimuli. In this study, we examine whether the N400 is sensitive to the associative relationship between distinct stimuli, and not the degree to which the stimuli share semantic features. We used previously established norms to parametrically vary the strength of linguistic association between words within word-pairs, while holding constant their degree of semantic congruency. This manipulation allowed us to compare N400s elicited by unrelated prime-target word-pairs (e.g. mirror-thumb) with N400s generated by related prime-target word-pairs of either moderate (e.g. camera-lens) or high (e.g. cherry-tree) degrees of association. We observed that larger N400 effects occurred for highly associated versus moderately associated pairs despite the fact that no differences in terms of semantic congruency existed between pairs belonging to the highly and moderately associated conditions. These findings demonstrate that the N400 can be modulated by associative relationships quite independently of semantics, and suggest that the N400 effect reflects processes sensitive to the contiguity of distinct elements within one's past experience and not their semantic properties per se.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Keywords:  Associative relationships; ERPs; N400; Priming; Semantic relationships

Mesh:

Year:  2013        PMID: 23707682     DOI: 10.1016/j.neuropsychologia.2013.05.003

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  8 in total

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Journal:  PLoS One       Date:  2019-06-10       Impact factor: 3.240

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6.  The reliability of the N400 in single subjects: implications for patients with disorders of consciousness.

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8.  Neural Correlates of Feedback Processing in Visuo-Tactile Crossmodal Paired-Associate Learning.

Authors:  Peng Gui; Jun Li; Yixuan Ku; Lei Li; Xiaojin Li; Xianzhen Zhou; Mark Bodner; Fred A Lenz; Xiao-Wei Dong; Liping Wang; Yong-Di Zhou
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  8 in total

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