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Multilevel factors predict treatment response following semantic feature-based intervention in bilingual aphasia

Bibliographic Data

ID21697686
AuthorsMichael Scimeca (0000-0002-1683-7767, Boston University, corresponding author), Claudia Peñaloza (0000-0003-1200-5936, Institut d'Investigació Biomédica de Bellvitge), Swathi Kiran (0000-0003-1586-8913, Boston University)
Year2024
Volume27
Issue2
Pages246-262
Publication date2024-03-01
Open AccessYes
TypeARTICLE
VenueBilingualism Language and Cognition (JOURNAL)
Journal identifiersISSN: 1366-7289 • E-ISSN: 1469-1841
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1366728923000391
PMID38586504
OpenAlexW4386073747
LanguageEN
Citations received2
References cited79

Semantic feature-based treatments (SFTs) are effective rehabilitation strategies for word retrieval deficits in bilinguals with aphasia (BWA). However, few studies have prospectively evaluated the effects of key parameters of these interventions on treatment outcomes. This study examined the influence of intervention-level (i.e., treatment language and treatment sessions), individual-level (baseline naming severity and age), and stimulus-level (i.e., lexical frequency, phonological length, and phonological neighborhood density) factors on naming improvement in a treated and untreated language for 34 Spanish–English BWA who completed 40 hours of SFT. Results revealed significant improvement over time in both languages. In the treated language, individuals who received therapy in their L1 improved more. Additionally, higher pre-treatment naming scores predicted greater response to treatment. Finally, a frequency effect on baseline naming accuracy and phonological effects on accuracy over time were associated with differential treatment gains. These findings indicate that multilevel factors are influential predictors of bilingual treatment outcomes

Aphasia · Audiology · Cognitive psychology · Multilevel model · Multiple baseline design · Neuroscience of multilingualism · Psychiatry · Psychological intervention · Semantic feature · Computer Science · Medicine · Neurobiology of Language and Bilingualism · Psychology · Reading and Literacy Development · Second Language Acquisition and Learning · Artificial Intelligence

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Citations per year1
Citation span2024 - 2026 (3)
Highly citedNo

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