Evidence map›Paper›PMID 31398554›Full record

ArticleNeuroImage. Clinical2019

Neuroanatomical structures supporting lexical diversity, sophistication, and phonological word features during discourse.

Janina Wilmskoetter, Julius Fridriksson, Ezequiel Gleichgerrcht, Brielle C Stark, John Delgaizo, Gregory Hickok, Kenneth I Vaden, Argye E Hillis, Chris Rorden, Leonardo Bonilha

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Language Recovery after Brain Injury: A Structural Network Control Theory Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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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

10 authors at 5 institutions in 1 country.

Janina WilmskoetterDepartment of Neurology, College of Medicine, Medical University of South Carolina, Charleston, SC 29425, United States of America. Electronic address: wilmskoe@musc.edu.
Julius FridrikssonDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC 29208, United States of America.
Ezequiel GleichgerrchtDepartment of Neurology, College of Medicine, Medical University of South Carolina, Charleston, SC 29425, United States of America.
Brielle C StarkDepartment of Speech and Hearing Sciences, Indiana University, Bloomington, IN 47405, United States of America; Program in Neuroscience, Indiana University, Bloomington, IN 47405, United States of America.
John DelgaizoDepartment of Neurology, College of Medicine, Medical University of South Carolina, Charleston, SC 29425, United States of America.
Gregory HickokDepartment of Cognitive Sciences, University of California, Irvine, CA 92697, United States of America.
Kenneth I VadenDepartment of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston, SC 29425, United States of America.
Argye E HillisDepartment of Neurology, Johns Hopkins University, Baltimore, MD 21287, United States of America.
Chris RordenDepartment of Psychology, University of South Carolina, Columbia, SC 29208, United States of America.
Leonardo BonilhaDepartment of Neurology, College of Medicine, Medical University of South Carolina, Charleston, SC 29425, United States of America.
Medical University of South Carolina · USUniversity of South Carolina · USIndiana University Bloomington · USJohns Hopkins University · USUniversity of California, Irvine · US

Funding

Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
NIGMS NIH HHS P20 GM109040
6 · The paper itself

Abstract

Deficits in lexical retrieval are commonly observed in individuals with post-stroke aphasia. Successful lexical retrieval is related to lexical diversity, lexical sophistication, and phonological word properties; however, the crucial brain regions supporting these different features are not fully understood. We performed MRI-based lesion symptom mapping in 58 individuals with a chronic left hemisphere stroke to assess how regional damage relates to spoken discourse-extracted measures of lexical diversity, lexical sophistication, and phonological word properties. For discourse transcription and word feature analysis, we used the Computerized Language Analysis (CLAN) program, Stanford Core Natural Language Processing, Irvine Phonotactic Online Dictionary, Lexical Complexity Analyzer, and Gramulator. Lesions involving the left posterior insula and supramarginal gyri and inferior fronto-occipital fasciculus were significant predictors of utterances with, on average, lower lexical diversity. Low lexical sophistication was associated with damage to the left pole of the superior temporal gyrus. Production of words with lower phonological complexity (fewer phonemes, higher phonological similarity) was associated with damage to the left supramarginal gyrus. Our findings indicate that discourse-extracted features of lexical retrieval depend on the integrity of specific brain regions involving insular and peri-Sylvian areas. The identified regions provide insight into potentially underlying mechanisms of lexically diverse, sophisticated and phonologically complex words produced during discourse.

Indexed as

AdultAgedAphasiaBrainFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesSpeechSpeech Production MeasurementStrokeAphasiaBrain lesionsMagnetic resonance imagingSpeech productionStroke

Identifiers

PMID31398554
PMCPMC6699249
OpenAlexW2964982659

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.