Evidence map›Paper›PMID 40803065›Full record

ArticleBrain and language2025

Recursive self-feedback enables target language production in aphasia with pathological language mixing.

Gerald C Imaezue, Celine Davis, Krishna Veni Maram, David Ajayi, Mira Goral

Abstract readCase Reports
In one paragraph

Article in Brain and language, 2025. 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. Article
  2. 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

5 authors.

Gerald C ImaezueDepartment of Communication Sciences and Disorders, University of South Florida, Tampa, FL, USA. Electronic address: gimaezue@usf.edu.
Celine DavisDepartment of Communication Sciences and Disorders, University of South Florida, Tampa, FL, USA.
Krishna Veni MaramDepartment of Computer Science and Engineering, University of South Florida, Tampa, FL, USA.
David AjayiDepartment of Communication Sciences and Disorders, University of South Florida, Tampa, FL, USA.
Mira GoralDepartment of Speech, Language and Hearing Sciences, Lehman College, City University of New York, NY, USA; Speech-Language-Hearing Sciences Program, The Graduate Center, City University of New York, NY, USA.

Funding

Technology Development ComponentP2CHD101899 · NICHD · REHABILITATION INSTITUTE OF CHICAGO D/B/A SHIRLEY RYAN ABILITYLAB · PI BAGDY, REBECCA · 2020 to 2024
$5.6M
NICHD NIH HHS P2C HD101899
6 · The paper itself

Abstract

Stroke in bilingual adults can lead to aphasia with pathological language mixing (PLM), a rare neurological condition with limited treatment options. Recursive self-feedback (RSF) offers a self-directed approach, allowing individuals with PLM to iteratively self-monitor and correct their language mixing independently. We demonstrated the effects of RSF in a 59-year-old female bilingual speaker of Spanish and English (Patient P3) with severe Broca's aphasia and PLM, 67-months poststroke. Over 14 intensive RSF sessions (2 h/day, 5 days/week, for 3 weeks), P3 used a mobile app to self-correct her mixing errors and increase the proportion of English words in her spontaneous speech. Post-treatment assessments showed improvements across both treated and untreated narrative prompts, with an 11-point increase in her Aphasia Quotient on the English version of the Western Aphasia Battery-Revised. These findings demonstrate that RSF enables target language production, yielding clinically meaningful language recovery in P3 without external cueing, modelling or feedback. RSF is a promising procedure for aphasia therapy, opening new pathways for targeting language access, control and recovery in aphasia and PLM.

Indexed as

AphasiaAphasia, BrocaLanguage TherapyFemaleHumansLanguageMiddle AgedMobile ApplicationsMultilingualismSpeechStrokeAphasiaBilingualComputer-based treatmentLanguage mixingRecursive self-feedback

Identifiers

PMID40803065
PMCPMC13465873

What OpenQuestion holds

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Registered trials

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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.