17 result(s) found.

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  Cross-linguistic differences in the semantic networks for animal fluency between English and Korean speakers with and without aphasia

  April 13, 2026

  Abstract Background: Semantic fluency tasks are widely used to assess lexical – semantic retrieval in healthy aging and aphasia; however, growing evidence indicates that semantic organization is influenced by culturally grounded lexical experience. Prior cross- linguistic work suggests that Korean speakers rely on culture- specific semantic schemas – such as zodiac animals – during animal […]
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  Cortical activity for conversational responses: A functional near-infrared spectroscopy study

  February 26, 2026

  Cortical activity for conversational responses in young neurotypical individuals, older neurotypical individuals, and individuals with aphasia: A functional near-infrared spectroscopy study   Abstract Functional near-infrared spectroscopy (fNIRS) has the potential for evaluating language and conversational interaction in an ecologically valid way given that participants can be seated and interacting with a conversational partner. Aphasia, an […]
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  The evolution of word retrieval errors during semantic feature-based therapy in bilingual aphasia

  October 14, 2025

  Abstract Bilinguals with aphasia routinely experience anomia in one or both of their languages that may be ameliorated by language treatment. Traditionally, treatment response has been captured by binary scoring systems that measure the presence or absence of improvement without examining how word retrieval attempts may change over time as a function of treatment. This […]
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  Quantifying the impact of hair and skin characteristics on fNIRS signal quality for enhanced inclusivity

  September 26, 2025

  Yücel, M.A., Anderson, J.E., Rogers, D. et al. Quantifying the impact of hair and skin characteristics on fNIRS signal quality for enhanced inclusivity. Nat Hum Behav (2025). https://doi.org/10.1038/s41562-025-02274-7   Abstract Semantic feature-based treatment (SFT), which engages the semantic network by repeatedly targeting retrieval of conceptual features to improve lexical-semantic access, has shown promise for facilitating […]
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  Measurement of cross-language and cross-domain generalization following semantic feature-based anomia treatment in bilingual aphasia

  August 29, 2025

  Russell-Meill, M., Carpenter, E., Marte, M. J., Scimeca, M., Peñaloza, C., & Kiran, S. (2025). Measurement of cross-language and cross-domain generalization following semantic feature-based anomia treatment in bilingual aphasia. Neuropsychological Rehabilitation, 1–27. https://doi.org/10.1080/09602011.2025.2522196 Abstract Semantic feature-based treatment (SFT), which engages the semantic network by repeatedly targeting retrieval of conceptual features to improve lexical-semantic access, has […]
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  Cross-language interaction during sequential anomia treatment in three languages: Evidence from a trilingual person with aphasia

  July 31, 2025

  Peñaloza, C., Marte, M., Billot, A., & Kiran, S. (2025). Cross-Language Interaction During Sequential Anomia Treatment in Three Languages: Evidence from a Trilingual Person with Aphasia. Cortex, 189, 107-130. https://doi.org/10.1016/j.cortex.2025.05.017 Abstract Language rehabilitation research has reported mixed evidence in bilinguals with aphasia suggesting that therapy can benefit the treated language alone or additionally result in […]
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  Using Unsupervised Dimensionality Reduction to Identify Lesion Patterns Predictive of Post-Stroke Aphasia Severity

  May 22, 2025

  Kropp, E., Varkanitsa, M., Carvalho, N., Falconer, I., Billot, A., Al-Dabbagh, M., & Kiran, S. (2025). Using unsupervised dimensionality reduction to identify lesion patterns predictive of post-stroke aphasia severity. Cortex, 188, 25–41. https://doi.org/10.1016/j.cortex.2025.04.015 Abstract Although voxel-based methods consistently identify brain regions associated with specific language functions, these techniques are limited when applied to broader behavioral […]
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  An Introduction to Machine Learning for Speech-Language Pathologists: Concepts, Terminology, and Emerging Applications

  March 31, 2025

  Cordella, C., Marte, M. J., Liu, H., & Kiran, S. (2024). An Introduction to Machine Learning for Speech-Language Pathologists: Concepts, Terminology, and Emerging Applications. Perspectives of the ASHA Special Interest Groups. https://doi.org/10.1044/2024_PERSP-24-00037     Purpose The purpose of this article is to orient clinicians and researchers to machine learning (ML) approaches, as applied to the […]
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  Machine learning predictions of recovery in bilingual post-stroke aphasia: Aligning insights with clinical evidence

  December 31, 2024

  Authors: Manuel Marte, Erin Carpenter, Michael Scimeca, Marissa Russell-Meill, Claudia Peñaloza, Uli Grasemann, Risto Miikkulainen, and Swathi Kiran, Accepted in the Journal Stroke Q&A with Manuel Marte What is this paper about? The paper examines how well machine learning models can predict language recovery outcomes in bilingual stroke survivors with aphasia. The study analyzed data […]
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  Impaired semantic control in the logopenic variant of primary progressive aphasia

  December 21, 2024

  Authors: Shalom K Henderson, Siddharth Ramanan, Matthew A Rouse, Thomas E Cope, Ajay D Halai, Karalyn E Patterson, James B Rowe, Matthew A Lambon Ralph. Q&A with Shalom Henderson What is this paper about? Even though the absence of object knowledge loss/semantic representation deficits constitutes ancillary diagnostic criteria for the logopenic variant of primary progressive […]