Emily Braun

Graduate Student, Affiliate, Center for Brain Recovery

PhD in Speech, Language & Hearing Sciences, Boston University (in progress)

M.S. in Speech, Language, and Learning (Concentration: Speech-Language Pathology), Northwestern University (2012)

B.A. in Linguistics (Minor: Spanish; Minor: Human Communication Sciences), Northwestern University (2010)

Research Interests

Aphasia rehabilitation

Neural correlates of aphasia recovery


Current Projects

White Matter Connectivity

Neuroscience of the Everyday World



Certificate of Clinical Competence in Speech-Language Pathology (CCC-SLP)

Speech-Language Pathologist state licensure in Massachusetts and Illinois


Academic Profiles

Research Gate

Google Scholar




Peer-Reviewed Publications

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, Epub,65, 3854-3872. DOI: 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. DOI1016/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. (2022). Multimodal neural and behavioral data predict response to rehabilitation in chronic post-stroke aphasia.  Stroke, 53, 1606-1614. DOI: 10.1161/STROKEAHA.121.036749

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

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 Pathology21, 448-458. DOI: 10.1080/17549507.2019.1661518 


Conference Proceedings

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: 1145/3453892.3461319

 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


Book Chapter

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.

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