Evidence map›Paper›PMID 32505940›Full record

ArticleBrain and language2020

Pre-treatment graph measures of a functional semantic network are associated with naming therapy outcomes in chronic aphasia.

Jeffrey P Johnson, Erin L Meier, Yue Pan, Swathi Kiran

Open access · greenAbstract read
In one paragraph

Article in Brain and language, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

24 citing papers in PubMed, 38 citations in OpenAlex.

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  9. Using unsupervised dimensionality reduction to identify lesion patterns predictive of post-stroke aphasia severity.Cortex; a journal devoted to the study of the nervous system and behavior · 2025
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  11. Insights gained over 60 years on factors shaping post-stroke aphasia recovery: A commentary on Vignolo (1964).Cortex; a journal devoted to the study of the nervous system and behavior · 2024
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  16. Understanding, facilitating and predicting aphasia recovery after rehabilitation.International journal of speech-language pathology · 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

4 authors at 1 institution in 1 country.

Jeffrey P JohnsonAphasia Research Laboratory, Department of Speech, Language & Hearing Sciences, Boston University, 635 Commonwealth Avenue, Room 326, Boston, MA 02215, USA. Electronic address: jeffrey.johnson9@va.gov.
Erin L MeierAphasia Research Laboratory, Department of Speech, Language & Hearing Sciences, Boston University, 635 Commonwealth Avenue, Room 326, Boston, MA 02215, USA. Electronic address: emeier5@jhmi.edu.
Yue PanAphasia Research Laboratory, Department of Speech, Language & Hearing Sciences, Boston University, 635 Commonwealth Avenue, Room 326, Boston, MA 02215, USA. Electronic address: pany@bu.edu.
Swathi KiranAphasia Research Laboratory, Department of Speech, Language & Hearing Sciences, Boston University, 635 Commonwealth Avenue, Room 326, Boston, MA 02215, USA. Electronic address: kirans@bu.edu.
Boston University · US

Funding

Neurobiology of Language Recovery in Aphasia: Natural History and Treatment-Ind*P50DC012283 · NIDCD · NORTHWESTERN UNIVERSITY · PI THOMPSON, CYNTHIA K · 2013 to 2017
$11.7M
Structural and Effective Connectivity of Reorganized Language Networks in AphasiaF31DC015940 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MEIER, ERIN LYNN · 2017 to 2018
$79k
NIDCD NIH HHS F31 DC015940NIDCD NIH HHS P50 DC012283
6 · The paper itself

Abstract

Naming treatment outcomes in post-stroke aphasia are variable and the factors underlying this variability are incompletely understood. In this study, 26 patients with chronic aphasia completed a semantic judgment fMRI task before receiving up to 12 weeks of naming treatment. Global (i.e., network-wide) and local (i.e., regional) graph theoretic measures of pre-treatment functional connectivity were analyzed to identify differences between patients who responded most and least favorably to treatment (i.e., responders and nonresponders) and determine if network measures predicted naming improvements. Responders had higher levels of global integration (i.e., average network strength and global efficiency) than nonresponders, and these measures predicted treatment effects after controlling for lesion volume and age. Group differences in local measures were identified in several regions associated with a variety of cognitive functions. These results suggest there is a meaningful and possibly prognostically-informative relationship between patients' functional network properties and their response to naming therapy.

Indexed as

SemanticsAdultAgedAphasiaBrainBrain MappingCognitionFemaleHumansLanguage TestsLanguage TherapyMagnetic Resonance ImagingMaleMiddle AgedNamesSemantic WebAphasiaFunctional connectivityGraph theoryLanguage therapy

Identifiers

PMID32505940
PMCPMC7338231
OpenAlexW3033144073

What OpenQuestion holds

Textmetadata
LicenceTDM
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.