Evidence map›Paper›PMID 24954966›Full record

ArticleLanguage and cognitive processes2014

Never Seem to Find the Time: Evaluating the Physiological Time Course of Visual Word Recognition with Regression Analysis of Single Item ERPs.

Sarah Laszlo, Kara D Federmeier

Abstract read
In one paragraph

Article in Language and cognitive processes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

37 citing papers in PubMed.

  1. Article
  2. Noun imageability and the processing of sensory-based information.Quarterly journal of experimental psychology (2006) · 2024
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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

2 authors.

Sarah LaszloDepartment of Psychology, State University of New York, Binghamton ; Program in Linguistics, State University of New York, Binghamton.
Kara D FedermeierDepartment of Psychology, University of Illinois, Urbana-Champaign ; Program in Neuroscience, University of Illinois, Urbana-Champaign ; Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign.

Funding

Hemispheric Differences in Memory and LanguageR01AG026308 · NIA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI FEDERMEIER, KARA D · 2005 to 2022
$4.5M
COMPUTATIONAL &BEHAVIORAL APPROACHES TO COGNITIONT32MH019983 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI REDER, LYNNE MARIE · 1998 to 2012
$2.6M
Physiologically constrained computational modeling of visual word recognitionF32HD062043 · NICHD · CARNEGIE-MELLON UNIVERSITY · PI LASZLO, SARAH · 2010 to 2011
$64k
NIA NIH HHS R01 AG026308NICHD NIH HHS F32 HD062043NIMH NIH HHS T32 MH019983
6 · The paper itself

Abstract

Visual word recognition is a process that, both hierarchically and in parallel, draws on different types of information ranging from perceptual to orthographic to semantic. A central question concerns when and how these different types of information come online and interact after a word form is initially perceived. Numerous studies addressing aspects of this question have been conducted with a variety of techniques (e.g., behavior, eye-tracking, ERPs), and divergent theoretical models, suggesting different overall speeds of word processing, have coalesced around clusters of mostly method-specific results. Here, we examine the time course of influence of variables ranging from relatively perceptual (e.g., bigram frequency) to relatively semantic (e.g., number of lexical associates) on ERP responses, analyzed at the single item level. Our results, in combination with a critical review of the literature, suggest methodological, analytic, and theoretical factors that may have led to inconsistency in results of past studies; we will argue that consideration of these factors may lead to a reconciliation between divergent views of the speed of word recognition.

Indexed as

ERPsMultiple RegressionVisual Word Recognition

Identifiers

PMID24954966
PMCPMC4060970

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Registered trials

None linked

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.