Evidence map›Paper›PMID 32830988›Full record

ArticleAmerican journal of speech-language pathology2021

Increased Recruitment of Domain-General Neural Networks in Language Processing Following Intensive Language-Action Therapy: fMRI Evidence From People With Chronic Aphasia.

Felix R Dreyer, Lea Doppelbauer, Verena Büscher, Verena Arndt, Benjamin Stahl, Guglielmo Lucchese, Olaf Hauk, Bettina Mohr, Friedemann Pulvermüller

Open access · greenAbstract read
In one paragraph

Article in American journal of speech-language pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Altered Dynamic Functional Network Connectivity in Post-Stroke Aphasia.Annals of clinical and translational neurology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Targeted neurorehabilitation strategies in post-stroke aphasia.Restorative neurology and neuroscience · 2023
    Review
  9. Review
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

9 authors at 1 institution in 3 countries.

Felix R DreyerBrain Language Laboratory, Department of Philosophy and Humanities, Freie Universität Berlin, Germany.
Lea DoppelbauerBrain Language Laboratory, Department of Philosophy and Humanities, Freie Universität Berlin, Germany.
Verena BüscherBrain Language Laboratory, Department of Philosophy and Humanities, Freie Universität Berlin, Germany.
Verena ArndtBrain Language Laboratory, Department of Philosophy and Humanities, Freie Universität Berlin, Germany.
Benjamin StahlDepartment of Neurology, University Medicine Greifswald, Germany.
Guglielmo LuccheseDepartment of Neurology, University Medicine Greifswald, Germany.
Olaf HaukMedical Research Council Cognition and Brain Science Unit, Cambridge, United Kingdom.
Bettina MohrZeNIS-Centre for Neuropsychology and Intensive Language Therapy, Berlin, Germany.
Friedemann PulvermüllerBrain Language Laboratory, Department of Philosophy and Humanities, Freie Universität Berlin, Germany.
Google (United States) · US

Funding

Medical Research Council MC_U105579212Medical Research Council MC_UU_00005/14
6 · The paper itself

Abstract

Purpose This study aimed to provide novel insights into the neural correlates of language improvement following intensive language-action therapy (ILAT; also known as constraint-induced aphasia therapy). Method Sixteen people with chronic aphasia underwent clinical aphasia assessment (Aachen Aphasia Test [AAT]), as well as functional magnetic resonance imaging (fMRI), both administered before (T1) and after ILAT (T2). The fMRI task included passive reading of single written words, with hashmark strings as visual baseline. Results Behavioral results indicated significant improvements of AAT scores across therapy, and fMRI results showed T2-T1 blood oxygenation-level-dependent (BOLD) signal change in the left precuneus to be modulated by the degree of AAT score increase. Subsequent region-of-interest analysis of this precuneus cluster confirmed a positive correlation of T2-T1 BOLD signal change and improvement on the clinical aphasia test. Similarly, the entire default mode network revealed a positive correlation between T2-T1 BOLD signal change and clinical language improvement. Conclusion These results are consistent with a more efficient recruitment of domain-general neural networks in language processing, including those involved in attentional control, following aphasia therapy with ILAT. Supplemental Material https://doi.org/10.23641/asha.12765755.

Indexed as

AphasiaStrokeHumansLanguageLanguage TherapyMagnetic Resonance ImagingNeural Networks, Computer

Identifiers

PMID32830988
PMCPMC7613191
OpenAlexW3081494861

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.