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Language mixing (LM) is common among individuals who speak two or more languages. LM in healthy multilingual individuals has been studied extensively, often by applying the Matrix Language Frame (MLF) and the 4M model, both developed by Myers-Scotton and colleagues. Our study examined LM in multilingual people with aphasia (PWA), to determine: (1) frequency of LM in the first-acquired language (L1) and later-acquired languages (L2/L3); (2) whether the 4M model accounts for LM patterns; and (3) how language-specific characteristics affect LM. Narratives produced by 18 multilingual PWA (English-Hebrew; English-Spanish, English-Hebrew-Spanish and Russian-Hebrew speakers) with and without agrammatism were analyzed using the 4M model. More LM was observed in L2 contexts compared to L1 in participants with agrammatism, yet in participants without agrammatism no differences were found between L1 and L2. The patterns of LM in target and non-target languages were similar across L1 and L2: content morphemes were more likely to be embedded into the matrix language, aligning with previous research on healthy multilingual controls. Differences were found between the types of LM across the four studied languages. Our findings indicate that multilingual PWA mix languages in a typical manner, similar to neurotypical multilingual individuals, aligning with the predictions of the 4M model. Furthermore, in multilingual PWA, as in healthy multilingual people, differences in LM across languages are related to the morphological richness of the matrix language and the congruency of the languages involved in LM. Clinically, based on our results, LM can be encouraged as a communication aid.
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http://dx.doi.org/10.1016/j.bandl.2025.105616 | DOI Listing |
Mayo Clin Proc Digit Health
September 2025
Department of Information Systems and Analytics, School of Computing, National University of Singapore, Singapore.
Objective: To develop Digital Processing Speed Test (DPST), a free, automated, multilingual, artificial intelligence-based cognitive testing application, with the aim to enhance recognition of cognitive impairment in underserved communities by leveraging mobile health to improve cognitive testing's accessibility.
Patients And Methods: In this cross-sectional feasibility and diagnostic study, we determined the test performance of DPST for the identification of mild cognitive impairment (MCI) and dementia, compared with traditional cognitive tests, such as Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). The study was conducted from January 19, 2021, to November 12, 2023.
J Voice
August 2025
Department of ECE, Birla Institute of Technology, Mesra, Ranchi, India. Electronic address:
Parkinson's disease (PD) is a neurodegenerative disorder that affects speech in earlier stage as a motor functions due to dopamine depletion in the substantia nigra. Voice signals serve as key markers for early PD detection. Most of the studies of the voice change in PD are focused in particular language.
View Article and Find Full Text PDFBrain Lang
July 2025
Speech-language-hearing Sciences, Lehman College and the Graduate Center, City University of New York, NY, USA.
Language mixing (LM) is common among individuals who speak two or more languages. LM in healthy multilingual individuals has been studied extensively, often by applying the Matrix Language Frame (MLF) and the 4M model, both developed by Myers-Scotton and colleagues. Our study examined LM in multilingual people with aphasia (PWA), to determine: (1) frequency of LM in the first-acquired language (L1) and later-acquired languages (L2/L3); (2) whether the 4M model accounts for LM patterns; and (3) how language-specific characteristics affect LM.
View Article and Find Full Text PDFJ Med Internet Res
July 2025
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Background: Inconsistencies in survey-based (eg, questionnaire) data collection across biomedical, clinical, behavioral, and social sciences pose challenges to research reproducibility. ReproSchema is an ecosystem that standardizes survey design and facilitates reproducible data collection through a schema-centric framework, a library of reusable assessments, and computational tools for validation and conversion. Unlike conventional survey platforms that primarily offer graphical user interface-based survey creation, ReproSchema provides a structured, modular approach for defining and managing survey components, enabling interoperability and adaptability across diverse research settings.
View Article and Find Full Text PDFAm J Prev Med
July 2025
Human Development and Family Studies Program, Department of Human Ecology, University of California, Davis, Davis, California. Electronic address:
Introduction: A policy requiring front-of-package added-sugar warning labels has the potential to improve dietary patterns in the U.S. However, because such a policy would require English labels, the labels may not be equally effective among individuals with varying English proficiency.
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