Machine Learning Driven ‘Therapy Calculator’ for Self-Managed Digital Speech-Language Therapy for Individuals with Post-stroke Aphasia
Liu, H., Betke, M., Ishwar, P., & Kiran, S. (2026). Machine Learning Driven ‘Therapy Calculator’ for Self-Managed Digital Speech-Language Therapy for Individuals with Post-stroke Aphasia. MedRxiv, 2026.01.22.26344656. https://doi.org/10.64898/2026.01.22.26344656
Evidence for impaired emotional reactivity in aphasia during naturalistic movie-viewing
Liebenthal, E., Marte, M., Gillis, B., Wei, X., Galvin, C. P., Rigolo, L., Tie, Y., & Kiran, S. (2026). Evidence for impaired emotional reactivity in aphasia during naturalistic movie-viewing. https://doi.org/10.21203/rs.3.rs-8477032/v1
Cross-Linguistic and Multicultural Effects on Animal Fluency Performance in Persons With Aphasia
Sung, J.E., Shin, J., Scimeca, M., Li, R, & Kiran, S. (2025). Cross-Linguistic and Multicultural Effects on Animal Fluency Performance in Persons With Aphasia. American Journal of Speech-Language Pathology. https://doi.org/10.1044/2025_AJSLP-24-00398
The evolution of word retrieval errors during semantic feature-based therapy in bilingual aphasia
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 […]
Quantifying the impact of hair and skin characteristics on fNIRS signal quality for enhanced inclusivity
Yücel, M. A., Anderson, J. E., Rogers, D., Hajirahimi, P., Farzam, P., Gao, Y., Kaplan, R. I., Braun, E. J., Mukadam, N., Duwadi, S., Carlton, L., Beeler, D., Butler, L. K., Carpenter, E., Girnis, J., Wilson, J., Tripathi, V., Zhang, Y., Sorger, B.,von Lühmann, A., Somers, D. C., Cronin-Golomb, A., Kiran, S., Ellis, T. D., […]
Measurement of cross-language and cross-domain generalization following semantic feature-based anomia treatment in bilingual aphasia
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 […]
The evolution of word retrieval errors during semantic feature-based therapy in bilingual aphasia
Scimeca, M., Peñaloza, C., Carpenter, E. A., Marte, M. J., Russell-Meill, M., & Kiran, S. (2025). The evolution of word retrieval errors during semantic feature-based therapy in bilingual aphasia. Bilingualism: Language and Cognition. Advance online publication. https://doi.org/10.1017/S1366728925100370
Cross-language interaction during sequential anomia treatment in three languages: Evidence from a trilingual person with aphasia
Peñaloza, C., Marte, M. J., Billot, A., & Kiran, S. (2025). Cross-language interaction during sequential anomia treatment in three languages: Evidence from a trilingual person with aphasia. Cortex. https://doi.org/10.1016/j.cortex.2025.05.017
Cross-language interaction during sequential anomia treatment in three languages: Evidence from a trilingual person with aphasia
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 […]
Using Unsupervised Dimensionality Reduction to Identify Lesion Patterns Predictive of Post-Stroke Aphasia Severity
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/https://doi.org/10.1016/j.cortex.2025.04.015