Publications
2023
Braun, E. J. & Kiran, S. (2022). Stimulus- and person-level variables influence word production and response to semantically-based anomia treatment for individuals with chronic post-stroke aphasia. Journal of Speech, Language, and Hearing Research, 65, 3854-3872. DOI: https://doi.org/10.1044/2022_JSLHR-21-00527
2022
Braun, E. J. & Kiran, S. (2022). Stimulus- and person-level variables influence word production and response to semantically-based anomia treatment for individuals with chronic post-stroke aphasia. Journal of Speech, Language, and Hearing Research, 65, 3854-3872. DOI: https://doi.org/10.1044/2022_JSLHR-21-00527
Braun, E. J., Billot, A., Meier., E., Pan, Y., Parrish, T. B., Kurani, A. S., & Kiran, S. (2022). White matter microstructural integrity pre- and post-treatment in individuals with chronic post-stroke aphasia. Brain and Language, 232, 105163. DOI: 10.1016/j.bandl.2022.105163
Billot, A., Lai, S., Varkanitsa, M., Braun, E. J., Rapp, B. Parrish, T. B., Higgins, J., Kurani, A. S. Caplan, D., Thompson, C. K., Ishwar, P., Betke, M., & Kiran, S. Multimodal neural and behavioral data predict response to rehabilitation in chronic post-stroke aphasia (2022). Stroke, 53, 1606-1614. DOI: 10.1161/STROKEAHA.121.036749
Gilmore, N., Braun, E. J., & Kiran, S. (2022). Neurology, Connectivity and Aphasia. In Papathanasiou & Coppens (Eds.), Aphasia and Related Neurogenic Communication Disorders. Burlington, MA: Jones & Bartlett Learning. [BOOK CHAPTER]
2021
Lai, S., Billot, A., Varkanitsa, M., Braun, E. J., Rapp, B., Parrish T. B., Kurani, A. S., Higgins, J., Caplan, D., Thompson, C. K., Kiran, S., Betke, M., & Ishwar, P. (2021, June). An exploration of machine learning methods for predicting post-stroke aphasia recovery. Paper presented at PETRA ’21: The 13th PErvaseive Technologies Related to Assistive Environments Conference (PETRA), Corfu, Greece. DOI: 10.1145/3453892.3461319 [CONFERENCE PROCEEDINGS]
2020
Dekhtyar, M., Braun, E. J., Billot, A., Foo, L., & Kiran, S. Videoconference administration of the Western Aphasia Battery – Revised: Feasibility and Validity (2020). American Journal of Speech-Language Pathology, 29, 673-687. DOI: 10.1044/2019_AJSLP-19-00023
Conlon, E. L., Braun, E. J., Babbitt, E. M., & Cherney L. R. (2020). Treatment fidelity procedures for an aphasia intervention within a randomized controlled trial: Design, Feasibility and Results. American Journal of Speech-Language Pathology, 29, 412-424. DOI: 10.1044/2019_AJSLP-CAC48-18-0227
Gu, Y., Bahrani, M., Billot, A., Lai, S., Braun, E. J., Varkanitsa, M., Bighetto, J., Rapp, B., Parrish, T. B., Caplan, D., Thompson, C. K., Kiran, S., & Betke, M. (2020, June). A machine learning approach for predicting post-stroke aphasia recovery: A pilot study. Paper presented at PETRA ’20: The 13th PErvaseive Technologies Related to Assistive Environments Conference (PETRA), Virtual.
DOI: 10.1145/3389189.3389204 [CONFERENCE PROCEEDINGS]
2019
Cherney, L. R., Braun, E. J., Lee, J. B., Kocherginsky, M., & van Vuuren, S. (2019). Optimizing recovery in aphasia: Learning following exposure to a single dose of computer-based script training. International Journal of Speech-Language Pathology, 21, 448-458. DOI: 10.1080/17549507.2019.1661518