Evidence map›Paper›PMID 33940343›Full record

ArticleBrain and language2021

The organization of the American Sign Language lexicon: Comparing one- and two-parameter ERP phonological priming effects across tasks.

Gabriela Meade, Brittany Lee, Natasja Massa, Phillip J Holcomb, Katherine J Midgley, Karen Emmorey

Abstract read
In one paragraph

Article in Brain and language, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Sign recognition: the effect of parameters and features in sign mispronunciations.Linguistics vanguard : multimodal online journal · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Article
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

6 authors.

Gabriela MeadeJoint Doctoral Program in Language and Communicative Disorders, San Diego State University, University of California, San Diego, USA. Electronic address: meade.gabriela@gmail.com.
Brittany LeeJoint Doctoral Program in Language and Communicative Disorders, San Diego State University, University of California, San Diego, USA.
Natasja MassaDepartment of Psychology, San Diego State University, USA.
Phillip J HolcombDepartment of Psychology, San Diego State University, USA.
Katherine J MidgleyDepartment of Psychology, San Diego State University, USA.
Karen EmmoreySchool of Speech, Language, and Hearing Sciences, San Diego State University, USA.

Funding

Language, Modality and the BrainR01DC010997 · NIDCD · SAN DIEGO STATE UNIVERSITY · PI KAREN EMMOREY · 2010 to 2026
$8.6M
Diversity supplement - Assessing the neural dynamics of reading in deaf adultsR01DC014246 · NIDCD · SAN DIEGO STATE UNIVERSITY · PI KAREN EMMOREY · 2015 to 2026
$4.5M
NIDCD NIH HHS R01 DC010997NIDCD NIH HHS R01 DC014246
6 · The paper itself

Abstract

We used phonological priming and ERPs to investigate the organization of the lexicon in American Sign Language. Across go/no-go repetition detection and semantic categorization tasks, targets in related pairs that shared handshape and location elicited smaller N400s than targets in unrelated pairs, indicative of facilitated processing. Handshape-related targets also elicited smaller N400s than unrelated targets, but only in the repetition task. The location priming effect reversed direction across tasks, with slightlylargeramplitude N400s for targets in related versus unrelated pairs in the semantic task, indicative of interference. These patterns imply that handshape and location play different roles during sign recognition and that there is a hierarchical organization for the sign lexicon. Similar to interactive-activation models of word recognition, we argue for differentiation between sublexical facilitation and lexical competition. Lexical competition is primarily driven by the location parameter and is more engaged when identification of single lexico-semantic entries is required.

Indexed as

LinguisticsSign LanguageEvoked PotentialsHumansRecognition, PsychologySemanticsUnited StatesERPsPhonological primingSign languageTask demands

Identifiers

PMID33940343
PMCPMC8543839

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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.