Evidence map›Paper›PMID 33954926›Full record

ArticleCognitive, affective & behavioral neuroscience2021

Orthographic neighborhood density modulates the size of transposed-letter priming effects.

Gabriela Meade, Cécile Mahnich, Phillip J Holcomb, Jonathan Grainger

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Article in Cognitive, affective & behavioral neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Gabriela MeadeJoint Doctoral Program in Language and Communicative Disorders, San Diego State University & University of California, San Diego, CA, USA. meade.gabriela@gmail.com.ORCID 0000-0001-6153-7782
Cécile MahnichDepartment of Psychology, San Diego State University, San Diego, CA, USA.
Phillip J HolcombDepartment of Psychology, San Diego State University, San Diego, CA, USA.
Jonathan GraingerLaboratoire de Psychologie Cognitive, CNRS & Aix-Marseille Université, Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used transposed-letter (TL) priming to test the lexical tuning hypothesis, which states that words from high-density orthographic neighborhoods have more precise orthographic codes than words from low-density neighborhoods. Replicating standard TL priming effects, target words elicited faster lexical decision responses and smaller amplitude N250s and N400s when preceded by TL primes (e.g., leomn-LEMON) compared with substitution primes (e.g., leuzn-LEMON) overall. We expected that if high-density words have more precise orthographic representations (i.e., with each letter assigned to a specific position), then they should be relatively less activated by TL primes and should give rise to smaller TL priming effects. In line with our prediction, N250 (but not N400 or behavioral) TL priming was significantly smaller for high-density words compared with low-density words over posterior sites. Such an interaction was not observed for pseudoword targets. Consistent with the lexical tuning hypothesis then, this pattern suggests that the nature of the orthographic code used to access lexical representations differs depending on the number of neighboring words in the lexicon. We conclude by discussing how lexical tuning could be implemented in current models of orthographic processing.

Indexed as

Motor ActivityReadingHumansPattern Recognition, VisualPerceptual MaskingReaction TimeERPsOrthographic neighborhoodOrthographic precisionTransposed-letter priming

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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.