Research

Cross-Site Publications:

  1. Barbieri, E.#, Thompson, C.K.#, Higgins, J., Caplan, D., Kiran, S., Rapp, B., & Parrish, T. (under review). Neural re-organization in chronic aphasia is language-domain specific: Evidence from a large-scale fMRI study. Cortex. # = shared first authorship. 
  2. Billot, A., Thiebaut de Schotten, M., Parrish, T.B., Thompson, C.K., Rapp, B., Caplan, D., & Kiran, S. (in press). Structural disconnections associated with language impairments in aphasia using disconnectome maps. Cortex. 
  3. Walenski, M., Chen, Y.F., Litcofsky, K., Caplan, D., Kiran, S., Rapp, B., Parrish, T.B., & Thompson, C.K. (2022). Perilesional perfusion in chronic stroke-induced aphasia and its response to behavioral treatment interventions. Neurobiology of Language, 3 (2): 345–363, https://doi.org/10.1162/nol_a_00068, DOI: 10.1162/nol_a_00068. 
  4. Billot, A., Lai, S., Varkanitsa, M., Braun, E., Rapp, B., Parish, T., Higgins, J., Kurani, A., 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, PMID: 35078348, PMCID: PMC9022691, DOI: 10.1161/STROKEAHA.121.036749.
  5. Iorga, M., Higgins, J., Caplan, D., Zinbarg, R., Kiran, S., Thompson, C.K., Rapp, B., & Parrish, T.B. (2021). Predicting Language Recovery in post-stroke aphasia using behavior and functional MRI. Scientific Reports 11(11), 8419, 12 pages. PMID: 33875733; PMCID: PMC8055660, DOI: 10.21203/rs.3.rs-75485/v1.
  6. Higgins, J., Barbieri, E., Wang, X., Mack, J., Caplan, D., Kiran, S., Rapp, B., Thompson, C.K., Zinbarg, R., & Parrish, T. (2020). Reliability of BOLD signals in chronic stroke-induced aphasia. European Journal of Neuroscience, 52(8): 3963-3978. DOI: 10.1111/ejn.14739.
  7. Kiran, S., & Thompson, C.K. (2019). Neuroplasticity of Language Networks in Aphasia: Advances, Updates, and Future Challenges. Frontiers in Neurology: Stroke, 10, 295. PDF
  8. Lukic, S., Barbieri, E., Wang, X., Caplan, D., Kiran, S., Rapp, B., Parrish, T., & Thompson, C. K.  (2017). Right hemisphere grey matter volume and language recovery in stroke aphasia. Neural Plasticity, 2017(3), 5601509, 14 pages. DOI: 10.1155/2017/5601509. PDF
  9. Thompson, C.K., Walenski, M., Chen, Y.F., Caplan, D., Kiran, S., Rapp, B., Grunewald, K., Nunez, M., Zinbarg, R.E., & Parrish, T.B. (2017). Intrahemispheric perfusion in chronic stroke-induced aphasia. Neural Plasticity, 2017, 2361691, 15 pages. https://doi.org/10.1155/2017/2361691 PDF
  10. Crinion, J., Holland, A.L., Copland, D.A., Thompson, C.K. & Hillis, A.E. (2013). Neuroimaging in aphasia treatment research: Quantifying brain lesions after stroke. Neuroimage, 73, 208-214. PMC3534842. DOI:10.1016/j.neuroimage.2012.07.044. PDF
  11. Rapp, B., Caplan, D., Edwards, S., Visch-Brink, E., & Thompson, C.K. (2013). Neuroimaging in aphasia treatment research: Issues of experimental design for relating cognitive to neural changes. Neuroimage, 73, 200-207. PMC3600065. DOI:10.1016/j.neuroimage.2012.09.007. 
  12. Kiran, S., Ansaldo, A., Bastiaanse, R., Cherney, L.R., Howard, D., Faroqi-Shah, Y., Meinzer, M., & Thompson, C.K. (2013). Neuroimaging in aphasia treatment research: Standards for establishing the effects of treatment. Neuroimage, 76, 428-435. PMC3552150. DOI:10.1016/j.neuroimage.2012.10.011. PDF
  13. Meinzer, M., Beeson, P., Cappa, S., Crinion, J, Kiran, S., Saur, D., Parrish, T., Crosson, B., & Thompson, C.K. (2013). Neuroimaging in aphasia treatment research: Consensus and practical guidelines for data analysis. NeuroImage, 73, 215-224. PMC3416913. DOI:10.1016/j.neuroimage.2012.02.058. PDF

The Neurobiology of Recovery of Sentence Processing in Agrammatic Aphasia
Northwestern University

Publications

  1. Grodzinsky, Y., Pieperhoff, P., & Thompson, C.K. (2021). Stable brain loci for the processing of complex syntax: a review of the current neuroimaging evidence. Cortex. 142, 252-271. https://doi.org/10.1016/j.cortex.2021.06.003 
  2. Lukic, S.#, Thompson, C.K.#, Barbieri, E., Chiappetta, B., Bonakdarpour, B., Parrish, T.B., Rapp, B., Kiran, S., & Caplan, D. (2021). Common and distinct neural substrates of sentence production and comprehension. Neuroimage, 224(1), 17374. DOI: 10.1016/j.neuroimage.2020.117374.  # = shared first authorship.
  3. Thompson, C.K., Barbieri, E., Mack, J.E., Wilkins, A., & Xie, K.Y. (2021). Plasticity of Sentence Processing Networks: Evidence from a patient with agrammatic variant of Primary Progressive Aphasia (PPA). Neurocase, 27(1): 39-56. DOI: 10.1080/13554794.2020.1862241. 
  4. Thompson, C. K. (2019). Neurocognitive recovery of sentence processing in aphasia. Journal of Speech, Language, and Hearing Research, 62(11), 3947-3972. DOI: 10.1044/2019_JSLHR-L-RSNP-19-0219. 
  5. Barbieri, E., Mack, J., Chiappetta, B., Europa, E., & Thompson, C. K. (2019). Recovery of offline and online sentence processing in aphasia: Language and domain-general network neuroplasticity. Cortex, 120, 394-418. DOI: 10.1016/j.cortex.2019.06.015. 
  6. Barbieri, E., Brambilla, I., Thompson, C.K., & Luzzatti, C. (2019). Verb and sentence processing patterns in healthy Italian participants: insight from the Northwestern Assessment of Verbs and Sentences (NAVS). Journal of Communication Disorders. PDF
  7. Europa, E., Kiran, S., Gitelman, D., & Thompson, C.K. (2019). Neural connectivity for processing noncanonical sentences with syntactic movement. Frontiers in Human Neuroscience, 13(27), 15 pages. DOI: 10.3389/fnhum.2019.00027. PDF
  8. Lukic, S., Meltzer-Asscher, A., Higgins, J., Parrish, T. B., & Thompson, C.K. (2019). Neurocognitive correlates of ambiguous verb processing: Single versus separate lexical entries. Brain and Language. PMID: 31103888. DOI: https://doi.org/10.1016/j.bandl.2019.04.005 PDF
  9. Walenski, M., Europa, E., Caplan, D., & Thompson, C. K. (2019). Neural networks for sentence comprehension and production: An ALE‐based meta‐analysis of neuroimaging studies. Human brain mapping, 40(8), 2275-2304. PMCID: PMC659725, DOI: 10.1002/hbm.24523. PDF
  10. Hsu, C., & Thompson, C.K. (2018). Manual Versus Automated Narrative Analysis of Agrammatic Production Patterns: The Northwestern Narrative Language Analysis and Computerized Language Analysis. Journal of Speech, Language and Hearing Research, 61(2). DOI:10.1044/2017_JSLHR-L-17-0185. PDF
  11. Mack, J. E. & Thompson, C. K. (2017). Recovery of online sentence processing in aphasia: Eye movement changes resulting from Treatment of Underlying Forms. Journal of Speech, Language, and Hearing Research, 60(5), 1299-1315. DOI: 10.1044/2016_JSLHR-L-16-0108. PDF
  12. Mack, J.E., Nerantzini, M., & Thompson, C.K. (2017). Recovery of sentence production processes following language treatment in aphasia: Evidence from eyetracking. Frontiers in Human Neuroscience, 11, 101 DOI: 10.3389/fnhum.2017.00101. PDF
  13. Schuchard, J., & Thompson, C.K. (2017). Sequential learning in individuals with agrammatic aphasia: evidence from artificial grammar learning. Journal of Cognitive Psychology, 1-14. PMCID: PMC5499680. DOI: 10.1080/20445911.2017.1293065. PDF
  14. Mack, J.E., Zu-Sern Wei, A., Gutierrez, S., & Thompson, C.K. (2016). Tracking sentence comprehension: Test-retest reliability in people with aphasia and unimpaired adults. Journal of Neurolinguistics, 40, 98-111. PMC5113948. DOI: 10.1016/j.jneuroling.2016.06.001. PDF
  15. Cho-Reyes, S., Mack, J.E., & Thompson, C.K. (2016). Grammatical encoding and learning in agrammatic aphasia: Evidence from structural priming. Journal of Memory and Language, 91, 202-218. DOI:10.1016/j.jml.2016.02.004. PDF
  16. Wang, H., & Thompson, C.K. (2016). Assessing Syntactic Deficits in Chinese Broca’s aphasia using the Northwestern Assessment of Verbs and Sentences-Chinese (NAVS-C). Aphasiology, 30(7), 815-840. PMC4955954. DOI:10.1080/02687038.2015.1111995. PDF
  17. Thompson, C.K. (2015). Establishing the effects of treatment for aphasia using single-subject-controlled experimental designs. Aphasiology, 29(5), 588-597. PMCID: PMC1847620. DOI:10.1080/02687038.2014.987043. PDF
  18. Meltzer-Asscher, A., Mack, J. E., Barbieri, E., & Thompson, C. K.  (2015). How the brain processes different dimensions of argument structure complexity: Evidence from fMRI. Brain and Language, 142, 65-75. PMC4336802. DOI:10.1016/j.bandl.2014.12.005. Reference: YBRLN4274. PDF
  19. Lee, J., Yoshida, M., & Thompson, C.K. (2015). Grammatical planning units during real-time sentence production in agrammatic aphasia and healthy speakers. Journal of Speech, Language, and Hearing Research. PMID: 25908309. DOI:10.1044/2015_JSLHR-L-14-0250. PDF
  20. Riley, E., & Thompson, C.K. (2015). Training Pseudoword Reading in Acquired Dyslexia: A Phonological Complexity Approach. Aphasiology, 29(2), 129–150. PMCID: PMC4467909. DOI: 1080/02687038.2014.955389. PDF
  21. Fraser, K.C., Hirst, G., Meltzer, J.A., Mack, J.E., Thompson, C.K. (2014). Using statistical analysis parsing to detect agrammatic aphasia. Proceedings of the 2014 Workshop on Biomedical Natural Language Processing (BioNLP), 134-142. Stroudsburg, PA: Association for Computational Linguistics (ACL).  DOI:10.3115/v1/W14-3420.
  22. Schuchard, J., & Thompson, C.K. (2014). Implicit and explicit learning in individuals with agrammatic aphasia. Journal of Psycholinguistic Research, 43(3), 209-224. PMCID: PMC3766481. DOI:10.1007/s10936-013-9248-4. PDF
  23. Mack, J.E., Meltzer-Asscher, A., Barbieri, E., & Thompson, C.K. (2013). Neural correlates of processing passive sentences. Brain Sciences. 3(3), 1198-1214. PMCID: PMC4061884. DOI:10.3390/brainsci3031198. PDF
  24. Wang, H., Yoshida, M., & Thompson, C.K. (2013). Parallel functional category deficits in clauses and nominal phrases: The case of English agrammatism. Journal of Neurolinguistics, 27(1), 75 – 102. PMC4569143. DOI:http://dx.doi.org/10.1016/j.jneuroling.2013.09.001. 

Imaging and Data Analysis Core
Northwestern University

Publications:

  1. Wang, B., Wang, X., Wang, Y., Katsaggelos, A., & Parrish T.B. (Submitted). An automated segmentation pipeline for chronic stroke lesion with new evaluation metrics. Neuroimage Clinical.
  2. Ingo, C., Sui, Y., Chen, Y.F., Parrish, T.B., Webb, A.G., & Ronen, I. (2015). Parsimonious continuous time random walk models and kurtosis for diffusion in magnetic resonance of biological tissue. Frontiers in Biomedical Physics 3(11). PMCID: PMC5365033. DOI: 10.3389/fphy.2015.00011. PDF
  3. Alpert, K., Kogan, A., Parrish, T.B., Marcus, D., & Wang, L. (2015). The Northwestern University Neuroimaging Data Archive (NUNDA). Neuroimage, 124 (B), 1131-6. PMCID: PMC4651782. DOI: 10.1016/j.neuroimage.2015.05.060. PDF
  4. Ingo, C., Magin, R.L., & Parrish, T.B. (2014). New insights into the fractional order diffusion equation using entropy and kurtosis. Entropy, 16(11), 5838-5852. PMCID: PMC5365032. DOI: 3390/e16115838. PDF

The Neurobiology of Recovery of Spoken Naming in Aphasia
Boston University/Massachusetts General Hospital

Publications:

  1. Braun, E.J., Kiran, S. (in press). Stimulus- and person-level variables influence word production and response to anomia treatment for individuals with chronic post-stroke aphasia. Journal of Speech Language and Hearing Research.
  2. Braun, E. J., Billot, A., Meier, E. L., Pan, Y., Parrish, T. B., Kurani, A. S., Kiran,  S. (in press). White matter microstructural integrity pre- and post-treatment in individuals with chronic post-stroke aphasia. Brain and Language
  3. Varkanitsa, M., & Kiran, S. (2022, May 23). Understanding, facilitating and predicting aphasia recovery after rehabilitation. International journal of speech-language pathology, 1-12. https://doi.org/10.1080/17549507.2022.2075036
  4. Johnson, J.P., Meier, E.L., Pan, Y., Kiran, S. (2021) Abnormally weak functional connections get stronger in chronic stroke patients who benefit from naming therapy. Brain and Language Dec;223:105042. doi: 10.1016/j.bandl.2021.105042. Epub 2021 Oct 22. PubMed PMID: 34695614
  5. Li, R., Perrachione, T., Tourville, J., & Kiran, S. (2021). Representation of Semantic Typicality in Brain Activation in Healthy Adults and Individuals with Aphasia: a Multi-Voxel Pattern Analysis. Neuropsychologia, 107893. doi:10.1016/j.neuropsychologia.2021.107893
  6. Varkanitsa, M., Peñaloza, C., Charidimou, A., Caplan, D., & Kiran, S. (2020). White Matter Hyperintensities Predict Response to Language Treatment in Poststroke Aphasia. Neurorehabilitation and Neural Repair, 34(10), 945–953. https://doi.org/10.1177/1545968320952809
  7. Johnson, J. P., Meier, E. L., Pan, Y., & Kiran, S. (2020). Pre-treatment graph measures of a functional semantic network are associated with naming therapy outcomes in chronic aphasia. Brain and Language, 207, 104809. doi:10.1016/j.bandl.2020.104809
  8. Kiran, S., Meier, E. L., & Johnson, J. P. (2019). Neuroplasticity in Aphasia: A Proposed Framework of Language Recovery. J Speech Lang Hear Res, 62(11), 3973-3985. doi:10.1044/2019_JSLHR-L-RSNP-19-0054
  9. Johnson JP, Meier EL, Pan Y, Kiran S. Treatment-related changes in neural activation vary according to treatment response and extent of spared tissue in patients with chronic aphasia. Cortex. 2019 Dec;121:147-168. doi: 10.1016/j.cortex.2019.08.016. 
  10. Meier EL, Johnson JP, Pan Y, Kiran S. A lesion and connectivity-based hierarchical model of chronic aphasia recovery dissociates patients and healthy controls. Neuroimage Clin. 2019;23:101919. doi: 10.1016/j.nicl.2019.101919. 
  11. Meier EL, Johnson JP, Pan Y, Kiran S. The utility of lesion classification in predicting language and treatment outcomes in chronic stroke-induced aphasia. Brain Imaging Behav. 2019 Dec;13(6):1510-1525. doi: 10.1007/s11682-019-00118-3.
  12. Gilmore N, Meier EL, Johnson JP, Kiran S. Nonlinguistic Cognitive Factors Predict Treatment-Induced Recovery in Chronic Poststroke Aphasia. Arch Phys Med Rehabil. 2019 Jul;100(7):1251-1258. doi: 10.1016/j.apmr.2018.12.024. 
  13. Gilmore, N., Johnson, J.P., Meier, E.L., & S. (under revision). Non-linguistic cognitive factors predict treatment-induced recovery in chronic post-stroke aphasia. Archives of Physical Medicine & Rehabilitation.
  14. Gilmore, N., Meier, E. L., Johnson, J. P., & Kiran, S. (2018). Typicality-based semantic treatment for anomia results in multiple levels of generalization. Neuropsychological rehabilitation, 1-27.
  15. Meier, E. L., Johnson, J. P., & Kiran, S. (2018). Frontotemporal effective connectivity during semantic feature judgments in patients with aphasia versus healthy controls. Cortex. PDF
  16. Meier, E. L., Johnson, J. P., Villard, S., & Kiran, S. (2017). Does Naming Therapy Make Ordering in a Restaurant Easier? Dynamics of Co-Occurring Change in Cognitive-Linguistic and Functional Communication Skills in Aphasia. American Journal of Speech-Language Pathology, 26(2), 266-280. PMCID: PMC5544360. DOI:10.1044/2016_AJSLP-16-0028 PDF
  17. Meier, E. L., Kapse, K. J., & Kiran, S. (2016). The relationship between frontotemporal effective connectivity during picture naming, behavior, and preserved cortical tissue in chronic aphasia. Hum. Neurosci., 10, 109. PMCID: PMC4792868. DOI:10.3389/fnhum.2016.00109. PDF
  18. Meier, E. L., Lo, M., & Kiran, S. (2016). Understanding semantic and phonological processing deficits in adults with aphasia: Effects of category and typicality. Aphasiology, 30(6), 719-749. PMCID: PMC4811611. DOI: 10.1080/02687038.2015.1081137. PDF
  19. Sims, J., Kapse, K., Glynn, P., Sandberg, C., & Kiran, S. (2016). The Relationships between the Amount of Spared Tissue, Percent Signal Change, and Accuracy in Semantic Processing in Aphasia. PubMed PMID: 26775192. PDF
  20. Kiran, S., Meier, E., Kapse, K., & Glynn, P. (2015). Changes in task-based effective connectivity in language networks following rehabilitation in post-stroke patients with aphasia. Hum. Neurosci., 9, 316.
    PMCID: PMC4460429. DOI:10.3389/fnhum.2015.00316. PDF