Evidence map›Paper›PMID 31136313›Full record

ArticleCognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology2019

Implicit Measures of Receptive Vocabulary Knowledge in Individuals With Level 3 Autism.

Emily L Coderre, Mariya Chernenok, Jessica O'Grady, Laura Bosley, Barry Gordon, Kerry Ledoux

Open access · hybridAbstract read
In one paragraph

Article in Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

3 citing papers in PubMed, 17 citations in OpenAlex.

  1. Toward an Individualized Neural Assessment of Receptive Language in Children.Journal of speech, language, and hearing research : JSLHR · 2020
    Article
  2. Lack of awareness despite complex visual processing: Evidence from event-related potentials in a case of selective metamorphopsia.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  3. 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 at 4 institutions in 1 country.

Emily L CoderreDepartment of Communication Sciences and Disorders, University of Vermont, Burlington, Vermont.
Mariya ChernenokDepartment of Neurology, Division of Cognitive Neurology/Neuropsychology, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Jessica O'GradyDepartment of Neurology, Division of Cognitive Neurology/Neuropsychology, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Laura BosleyDepartment of Neurology, Division of Cognitive Neurology/Neuropsychology, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Barry GordonDepartment of Neurology, Division of Cognitive Neurology/Neuropsychology, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Kerry LedouxDepartment of Neurology, Division of Cognitive Neurology/Neuropsychology, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Johns Hopkins Medicine · USJohns Hopkins University · USUniversity of California, Davis · USUniversity of Vermont · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implicit measures of cognition are essential for assessing knowledge in people with Level 3 autism because such individuals are often unable to make reliable overt behavioral responses. In this study, we investigated whether three implicit measures-eye movement (EM) monitoring, pupillary dilation (PD), and event-related potentials (ERPs)-can be used to reliably estimate vocabulary knowledge in individuals with Level 3 autism. Five adults with Level 3 autism were tested in a repeated-measures design with two tasks. High-frequency 'known' words (eg, bus, airplane) and low-frequency 'unknown' words (eg, ackee, cherimoya) were presented in a visual world task (during which EM and PD data were collected) and a picture-word congruity task (during which ERP data were collected). Using a case-study approach with single-subject analyses, we found that these implicit measures have the potential to provide estimates of receptive vocabulary knowledge in individuals with Level 3 autism. Participants differed with respect to which measures were the most sensitive and which variables best predicted vocabulary knowledge. These implicit measures may be useful to assess language abilities in individuals with Level 3 autism, but their use should be tailored to each individual.

Indexed as

VocabularyAdolescentAdultAutism Spectrum DisorderCognitionEvoked PotentialsHumansMaleMiddle AgedPhotic StimulationPsychomotor PerformanceYoung Adult

Identifiers

PMID31136313
PMCPMC6587232
OpenAlexW2946964979

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.