Gerald C. Imaezue , Celine Davis , Krishna Veni Maram , David Ajayi , Mira Goral
{"title":"Recursive self-feedback enables target language production in aphasia with pathological language mixing","authors":"Gerald C. Imaezue , Celine Davis , Krishna Veni Maram , David Ajayi , Mira Goral","doi":"10.1016/j.bandl.2025.105633","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55330,"journal":{"name":"Brain and Language","volume":"270 ","pages":"Article 105633"},"PeriodicalIF":2.3000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain and Language","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0093934X25001026","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.