Impaired lexical selection and fluency in post-stroke aphasia

References

• Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects fur subjects and items. Journal of Memory and Language, 59, 390–412. doi: 10.1016/j.jml.2007.12.005
   Web of Science ®Google Scholar
• Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68, 255–278. doi: 10.1016/j.jml.2012.11.001
   Web of Science ®Google Scholar
• Bartolotti, J., & Marian, V. (2012). Language learning and control in monolinguals and bilinguals. Cognitive Science, 36, 1129–1147. doi: 10.1111/j.1551-6709.2012.01243.x
   PubMed Web of Science ®Google Scholar
• Bates, D., Maechler, M., Bolker, B., Walker, S., Bojesen Christensen, R. H., Singmann, H., … Green, P. (2016). lme4: Linear mixed-effects models using Eigen and S4. R package version 1.1-11. Retreived from https://cran.r-project.org/web/packages/lme4
   Google Scholar
• Berndt, R., Wayland, S., Rochon, E., Saffran, E., & Schwartz, M. (2000). Quantitative production analysis: A training manual for the analysis of aphasic sentence production. Hove, UK: Psychology Press.
   Google Scholar
• Bialystok, E., Craik, F. I. M., & Luk, G. (2008). Lexical access in bilinguals: Effects of vocabulary size and executive control. Journal of Neurolinguistics, 21, 522–538. doi: 10.1016/j.jneuroling.2007.07.001
   Web of Science ®Google Scholar
• Botezatu, M. R., Landrigan, J.-F., Chen, Q., & Mirman, D. (2015). Phonological neighborhood density modulates errors in spoken word recognition. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 250–255). Austin, TX: Cognitive Science Society. doi: 10.1177/1753193414551682
   Google Scholar
• Caplan, D. (2011). Aphasic Syndromes. In K. M. Heilman & E. Valenstein (Eds.), Clinical neuropsychology (5th ed., pp. 22–41). New York, USA: Oxford University Press.
   Google Scholar
• Charles-Luce, J., & Luce, P. A. (1990). Similarity neighborhoods of words in young children’s lexicons. Journal of Child Language, 17, 205–215. doi: 10.1017/S0305000900013180
   PubMed Web of Science ®Google Scholar
• Chen, Q., Middleton, E., & Mirman, D. (in press). Words fail: Lesion-symptom mapping of errors of omission in post-stroke aphasia. Journal of Neuropsychology. doi:10.1111/jnp.12148
   Web of Science ®Google Scholar
• Chen, Q., & Mirman, D. (2015). Interaction between phonological and semantic representations: Time matters. Cognitive Science, 39, 538–558. doi: 10.1111/cogs.12156
   PubMed Web of Science ®Google Scholar
• Dabul, B. L. (2000). Apraxia battery for adults (2nd ed.). Austin, TX: Pro-Ed.
   Google Scholar
• De Cara, B., & Goswami, U. (2003). Phonological neighborhood density: Effects of a rhyme awareness task in five-year-old children. Journal of Child Language, 30, 695–710. doi: 10.1017/S0305000903005725
   PubMed Web of Science ®Google Scholar
• Dell, G., & Chang, F. (2014). The P-chain: Relating sentence production and its disorders to comprehension and acquisition. Philosophical Transactions of the Royal Society B: Biological Sciences, 369, 1–9. doi: 10.1098/rstb.2012.0394
   Web of Science ®Google Scholar
• Dell, G. S., Schwartz, M. F., Martin, N., Saffran, E. M., & Gagnon, D. A. (1997). Lexical access in aphasic and nonaphasic speakers. Psychological Review, 104, 801–838. doi: 10.1037/0033-295X.104.4.801
   PubMed Web of Science ®Google Scholar
• Dunn, L. M., & Dunn, L. M. (1997). Examiner’s manual for the PPVT-III: Peabody picture vocabulary test (3rd ed.). Circle Pines, MN: American Guidance Service.
   Google Scholar
• Folstein, M., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state” a practical method of grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.doi: 10.1016/0022-3956(75)90026-6
   PubMed Web of Science ®Google Scholar
• Freedman, M. L., & Martin, R. C. (2001). Dissociable components of short-term memory and their relation to long-term learning. Cognitive Neuropsychology, 18, 193–226. doi: 10.1080/02643290126002
   PubMed Web of Science ®Google Scholar
• Geschwind, N. (1971). Current concepts: Aphasia. New England Journal of Medicine, 284, 654–656. doi:10.1056/NEJM197103252841206
   PubMed Web of Science ®Google Scholar
• Goldrick, M., & Chu, K. (2014). Gradient co-activation and speech error articulation: Comment on Pouplier and Goldstein (2010). Language, Cognition and Neuroscience, 29, 452–458. doi: 10.1080/01690965.2013.807347
   Web of Science ®Google Scholar
• Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nature Reviews Neuroscience, 8, 393–402. doi: 10.1038/nrn2113
   PubMed Web of Science ®Google Scholar
• Ide, N., & Suderman, K. (2004). The American national corpus first release. In M. T. Lino, M. F. Xavier, F. Ferreira, R. Costa, & R. Silva (Eds.), Proceedings of the Fourth Language Resources and Evaluation Conference (LREC) (pp. 1681–1684). Lisbon: ELRA-European Language Resources Association.
   Google Scholar
• Kay, J., Lesser, R., & Coltheart, M. (1992). PALPA: Psycholinguistic assessments of language processing in Aphasia. Hove, UK: Lawrence Erlbaum Associates Ltd.
   Google Scholar
• Kertesz, A. (1982). Western aphasia battery. New York: Grune & Stratton.
   Google Scholar
• LaPointe, L., & Horner, J. (1998). Reading comprehension battery for aphasia (2nd ed.). Austin, TX: Pro-Ed.
   Google Scholar
• Levelt, W. J. M. (1999). Models of word production. Trends in Cognitive Sciences, 3, 223–232. doi: 10.1016/S1364-6613(99)01319-4
   PubMed Web of Science ®Google Scholar
• Levelt, W. J. M., Roelofs, A., & Meyer, A. S. (1999). A theory of lexical access in speech production. Behavioral and Brain Sciences, 22, 1–38. doi: 10.1017/S0140525X99001776
   PubMed Web of Science ®Google Scholar
• Luce, P. A. (1986). Neighborhoods of words in the mental lexicon. Research on Speech Perception Technical Report No. 6. Bloomington, IN: Speech Research Laboratory, Psychology Department, Indiana University.
   Google Scholar
• Luce, P. A., Pisoni, D. B., & Goldinger, S. D. (1990). Similarity neighborhoods of spoken words. In G. T. M. Altmann (Ed.), Cognitive models of speech processing: Psycholinguistic and computational perspectives (pp. 122–147). Cambridge, MA: MIT.
   Google Scholar
• Luce, P. A., & Large, N. (2001). Phonotactics, neighborhood density, and entropy in spoken word recognition. Language and Cognitive Processes, 16, 565–581. doi: 10.1080/01690960143000137
   Web of Science ®Google Scholar
• Luce, P. A., & Pisoni, D. B. (1998). Recognizing spoken words: The neighborhood activation model. Ear and Hearing, 19, 1–36. doi: 10.1097/00003446-199802000-00001
   PubMed Web of Science ®Google Scholar
• Luo, L., Luk, G., & Bialystok, E. (2010). Effect of language proficiency and executive control on verbal fluency performance in bilinguals. Cognition, 114, 29–41. doi: 10.1016/j.cognition.2009.08.014
   PubMed Web of Science ®Google Scholar
• Magnuson, J. S., Dixon, J. A., Tanenhaus, M. K., & Aslin, R. N. (2007). The dynamics of lexical competition during spoken word recognition. Cognitive Science, 31, 1–24. doi: 10.1080/03640210709336987
   PubMed Web of Science ®Google Scholar
• Magnuson, J. S., Mirman, D., & Myers, E. (2013). Spoken word recognition. In D. Reisberg (Ed.), Oxford Handbook of Cognitive Psychology (pp. 412–441). New York: Oxford University Press.
   Google Scholar
• Marian, V., Blumenfeld, H. K., & Boukrina, O. V. (2008). Sensitivity to phonological similarity within and across languages. Journal of Psycholinguistic Research, 37, 141–170. doi: 10.1007/s10936-007-9064-9
   PubMed Web of Science ®Google Scholar
• Martin, N., Schwartz, M. F., & Kohen, F. P. (2006). Assessment of the ability to process semantic and phonological aspects of words in aphasia: A multi-measurement approach. Aphasiology, 20, 154–166. doi: 10.1080/02687030500472520
   Web of Science ®Google Scholar
• McMillan, C. T., & Corley, M. (2010). Cascading influences on the production of speech: Evidence from articulation. Cognition, 117, 243–260. doi: 10.1016/j.cognition.2010.08.019
   PubMed Web of Science ®Google Scholar
• Mirman, D. (2016). Zones of proximal development for models of spoken word recognition. In T. Harley (Series Ed.) & G.M. Gaskell & J. Mirkovic (Vol. Eds.), Current Issues in the Psychology of Language: Speech Perception and Spoken Word Recognition (pp. 97-115). Psychology Press.
   Google Scholar
• Mirman, D., Strauss, T. J., Brecher, A. R., Walker, G. M., Sobel, P., Dell, G. S., et al. (2010). A large, searchable, web-based database of aphasic performance on picture naming and other tests of cognitive function. Cognitive Neuropsychology, 27, 495–504. doi: 10.1080/02643294.2011.574112
   PubMed Web of Science ®Google Scholar
• Mirman, D., Yee, E., Blumstein, S. E., & Magnuson, J. S. (2011). Theories of spoken word recognition in aphasia: Evidence from eye-tracking and computational modeling. Brain and Language, 117, 53–68. doi: 10.1016/j.bandl.2011.01.004
   PubMed Web of Science ®Google Scholar
• Nicholas, N. E., & Brookshire, R. H. (1993). A system for quantifying the informativeness and efficiency of the connected speech of adults with aphasia. Journal of Speech and Hearing Research, 36, 338–350. doi: 10.1044/jshr.3602.338
   PubMedGoogle Scholar
• Novick, J. M., Trueswell, J. C., & Thompson-Schill, S. L. (2005). Cognitive control and parsing: Reexamining the role of Broca’s area in sentence comprehension. Cognitive, Affective, & Behavioral Neuroscience, 5, 263–281. doi: 10.3758/CABN.5.3.263
   PubMed Web of Science ®Google Scholar
• Novick, J. M., Trueswell, J. C., & Thompson-Schill, S. L. (2010). Broca’s area and language processing: Evidence for the cognitive control connection. Language and Linguistics Compass, 4, 906–924. doi: 10.1111/j.1749-818x.2010.00244.x
   Google Scholar
• Pickering, M. J., & Garrod, S. (2013). An integrated theory of language production and comprehension. Behavioral and Brain Sciences, 36, 329–392. doi: 10.1017/S0140525X12001495
   PubMed Web of Science ®Google Scholar
• R Development Core Team. (2016). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from. https://www.r-project.org/
   Google Scholar
• Robinson, G., Blair, J., & Cipolotti, L. (1998). Dynamic aphasia: An inability to select between competing verbal responses? Brain, 121, 77–89. doi: 10.1093/brain/121.1.77
   PubMed Web of Science ®Google Scholar
• Roelofs, A. (1996). Computational models of lemma retrieval. In T. Dijkstra & K. de Smedt (Eds.), Computational psycholinguistics (pp. 308–327). London: Taylor & Francis.
   Google Scholar
• Roelofs, A. (1997). The WEAVER model of word-form encoding in speech production. Cognition, 64, 249–284. doi: 10.1016/S0010-0277(97)00027-9
   PubMed Web of Science ®Google Scholar
• Roelofs, A. (2003). Modeling the relation between the production and recognition of spoken word forms. In N. O. Schiller & A. S. Meyer (Eds.), Phonetics and phonology in language comprehension and production: Differences and similarities (pp. 115–158). Berlin: Mouton de Gruyter.
   Google Scholar
• Roelofs, A. (2014). A dorsal-pathway account of aphasic language production: The WEAVER++/ARC model. Cortex, 59, 33–48. doi: 10.1016/j.cortex.2014.07.001
   PubMed Web of Science ®Google Scholar
• Sandoval, T. C., Gollan, T. H., Ferreira, V. S., & Salmon, D. P. (2010). What causes the bilingual disadvantage in verbal fluency? The dual-task analogy. Bilingualism: Language and Cognition, 13, 231–252. doi: 10.1017/s1366728909990514
   Web of Science ®Google Scholar
• Schnur, T. T., Schwartz, M. F., Brecher, A., & Hodgson, C. (2006). Semantic interference during blocked-cyclic naming: Evidence from aphasia. Journal of Memory and Language, 54, 199–227. doi: 10.1016/j.jml.2005.10.002
   Web of Science ®Google Scholar
• Schwartz, M. F. (1987). Patterns of speech production deficit within and across aphasia syndromes: Application of a psycholinguistic model. In M. Coltheart, G. Sartori, & R. Job (Eds.), The cognitive neuropsychology of language (pp. 163–199). Hove: Lawrence Erlbaum Associates, Ltd.
   Google Scholar
• Schwartz, M. F. (2014). Theoretical analysis of word production deficits in adult aphasia. Philosophical Transactions of the Royal Society of London.Series B, Biological Sciences, 369, 20120390. doi: 10.1098/rstb.2012.0390
   Web of Science ®Google Scholar
• Schwartz, M. F., Middleton, E. L., & Hamilton, R. (2015). Word retrieval impairment in adult aphasia. In R. Huntley Bahr & E. R. Silliman (Eds.), Routledge handbook of communication disorders (pp. 278–287). New York, NY: Routledge.
   Google Scholar
• Schwartz, M. F., Brecher, A. R., Whyte, J., & Klein, M. G. (2005). A patient registry for cognitive rehabilitation research: A strategy for balancing patients’ privacy rights with researchers’ need for access. Archives of Physical Medicine and Rehabilitation, 86, 1807–1814. doi: 10.1098/rstb.2012.0390
   PubMed Web of Science ®Google Scholar
• Schwartz, M. F., & Dell, G. S. (2010). Case series investigations in cognitive neuropsychology. Cognitive Neuropsychology, 27, 477–494. doi: 10.1080/02643294.2011.574111
   PubMed Web of Science ®Google Scholar
• Segaert, K., Menenti, L., Weber, K., Petersson, K. M., & Hagoort, P. (2012). Shared syntax in language production and language comprehension : An fMRI study. Cerebral Cortex, 22, 1662–1670. doi: 10.1093/cercor/bhr249
   PubMed Web of Science ®Google Scholar
• Sommers, M. S. (1996). The structural organization of the mental lexicon and its contribution to age-related declines in spoken-word recognition. Psychology and Aging, 11, 333–341. doi: 10.1037//0882-7974.11.2.333
   PubMed Web of Science ®Google Scholar
• Sommers, M. S. (1998). Spoken word recognition in individuals with dementia of the Alzheimer’s type: Changes in talker normalization and lexical discrimination. Psychology and Aging, 13, 631–646. doi: 10.1037//0882-7974.13.4.631
   PubMed Web of Science ®Google Scholar
• Strand, E. A., Duffy, J. R., Clark, H. M., & Josephs, K. (2014). The apraxia of speech rating scale: A tool for diagnosis and description of apraxia of speech. Journal of Communication Disorders, 51, 43–50. doi: 10.1016/j.jcomdis.2014.06.008
   PubMed Web of Science ®Google Scholar
• Taler, V., Aaron, G. P., Steinmetz, L. G., & Pisoni, D. B. (2010). Lexical neighborhood density effects on spoken word recognition and production in healthy aging. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences, 65, 551–560. doi: 10.1093/geronb/gbq039
   PubMed Web of Science ®Google Scholar
• Psychology Software Tools, Inc.  [E-Prime 2.0]. (2012). Retrieved from http://www.pstnet.com.
   Google Scholar
• Wilshire, C. E., & Coslett, H. B. (2000). Disorders of word retrieval in aphasia: Theories and potential applications. In S. E. Nadeau, L. J. Gonzalez Rothi, & B. Crosson (Eds.), Aphasia and language: Theory to practice (pp. 82–107). New York: The Guilford Press.
   Google Scholar
• Yates, M., Friend, J., & Ploetz, D. M. (2008). Phonological neighbors influence word naming through the least supported phoneme. Journal of Experimental Psychology: Human Perception and Performance, 34, 1599–1608. doi: 10.1037/a0011633
   PubMed Web of Science ®Google Scholar