Evidence map›Paper›PMID 31598028›Full record

ArticleAphasiology2019

Impaired Lexical Selection and Fluency in Post-Stroke Aphasia.

Mona Roxana Botezatu, Daniel Mirman

Abstract read
In one paragraph

Article in Aphasiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Timing of implicit processes in aphasia: An event-related potential investigation of masked priming effects.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  2. 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

2 authors.

Mona Roxana BotezatuDepartment of Communication Science and Disorders, University of Missouri, Columbia, MO, 65211, USA, , botezatum@health.missouri.edu.
Daniel MirmanDepartment of Psychology, University of Alabama, Birmingham, AL, 35294, USA, ; dan@danmirman.org.

Funding

Dynamics of Spoken Word Comprehension in AphasiaR01DC010805 · NIDCD · DREXEL UNIVERSITY · PI MIRMAN, DANIEL · 2010 to 2014
$1.8M
NIDCD NIH HHS R01 DC010805
6 · The paper itself

Abstract

backgroundDeficits in fluent language production are a hallmark of aphasia and may arise from impairments at different levels in the language system. It has been proposed that difficulty resolving lexical competition contributes to fluency deficits.

aimsThe present study tested this hypothesis in a novel way: by examining whether narrative speech production fluency is associated with difficulty resolving lexical competition in spoken word recognition as measured by sensitivity to phonological neighborhood density. METHODS & PROCEDURES: Nineteen participants with aphasia and 15 neurologically intact older adults identified spoken words that varied in phonological neighborhood density and were presented in moderate noise. OUTCOMES &

resultsNeurologically intact participants exhibited the standard inhibitory effect of phonological neighborhood density on response times: slower recognition of spoken words from denser neighborhoods. Among participants with aphasia, the inhibitory effect of phonological neighborhood density (less accurate recognition of spoken words from denser neighborhoods) was smaller for participants with greater fluency. The neighborhood effect was larger for participants with greater receptive vocabulary knowledge, indicating that the fluency effect was not a result of general lexical deficits.

conclusionsThese results are consistent with the hypothesis that impaired lexical selection is a contributing factor in fluency deficits in post-stroke aphasia.

Indexed as

aphasiafluencylexical selectionphonological neighborhood densityspoken word recognition

Identifiers

PMID31598028
PMCPMC6785054

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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.