Evidence map›Paper›PMID 30797831›Full record

ArticleNeuropsychologia2019

Task modulates ERP effects of orthographic neighborhood for pseudowords but not words.

Gabriela Meade, Jonathan Grainger, Phillip J Holcomb

Abstract read
In one paragraph

Article in Neuropsychologia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Gabriela MeadeJoint Doctoral Program in Language and Communicative Disorders, San Diego State University & University of California, San Diego, United States. Electronic address: meade.gabriela@gmail.com.
Jonathan GraingerLaboratoire de Psychologie Cognitive, CNRS & Aix-Marseille Université, France.
Phillip J HolcombDepartment of Psychology, San Diego State University, United States.

Funding

The Neuro-cognition of Word ComprehensionR37HD025889 · NICHD · TUFTS UNIVERSITY MEDFORD · PI HOLCOMB, PHILLIP J · 2011 to 2020
$3.7M
The cognitive neuroscience of word comprehensionR01HD025889 · NICHD · TUFTS UNIVERSITY MEDFORD · PI HOLCOMB, PHILLIP J · 1995 to 2010
$2.8M
NICHD NIH HHS R01 HD025889NICHD NIH HHS R37 HD025889
6 · The paper itself

Abstract

Words and pseudowords from high-density orthographic neighborhoods elicit larger amplitude N400s than similar items from low-density orthographic neighborhoods in the lexical decision task. This pattern could be interpreted as an increase in the amount of lexico-semantic information to be processed or as an increase in difficulty identifying a word (or rejecting a pseudoword) amongst many co-activated alternatives. In order to dissociate between these mechanisms, we compared neighborhood effects between a lexical decision task (LDT) and a letter search task (LST). Behaviorally, we found the standard neighborhood and lexicality effects in the LDT, but no significant effects in the LST. Thus, behavioral responses were sensitive to the decisions required by the respective tasks. Electrophysiologically, we found similar N400 neighborhood effects between tasks for words, but the N400 neighborhood effect for pseudowords was only present in the LDT. Moreover, the effect of neighborhood in the LDT occurred earlier for words than for pseudowords. These nuanced differences in the time course and automaticity of word and pseudoword neighborhood effects lend insight into the processes that underlie N400 effects of orthographic neighborhood and how they unfold over time. We propose that the early neighborhood effects for words across tasks were driven by highly automatized word identification processes that were sensitive to the lateral inhibition generated by orthographic neighbors. In contrast, the later neighborhood effects for pseudowords in the LDT could have been driven by task-specific processes tied to how global lexical activity is used to make a lexical decision.

Indexed as

Appetitive BehaviorDecision MakingEvoked PotentialsInhibition, PsychologicalPattern Recognition, VisualAdolescentElectroencephalographyFemaleHumansMaleReadingYoung AdultERPsLexical statusN400Orthographic neighborhoodTask effects

Identifiers

PMID30797831
PMCPMC7045576

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.