Effects of word frequency and contextual predictability on sentence reading in aphasia: an eye movement analysis

References

• Ablinger, I., Huber, W., & Radach, R. (2014). Eye movement analyses indicate the underlying reading strategy in the recovery of lexical readers. Aphasiology, 28, 640–657. doi:10.1080/02687038.2014.894960
   Web of Science ®Google Scholar
• Ablinger, I., Von Heyden, K., Vorstius, C., Halm, K., Huber, W., & Radach, R. (2014). An eye movement based reading intervention in lexical and segmental readers with acquired dyslexia. Neuropsychological Rehabilitation, 24, 833–867. doi:10.1080/09602011.2014.913530
   PubMed Web of Science ®Google Scholar
• Ashby, J., Rayner, K., & Clifton, C. (2005). Eye movements of highly skilled and average readers: Differential effects of frequency and predictability. The Quarterly Journal of Experimental Psychology, 58A, 1065–1086. doi:10.1080/02724980443000476
   Web of Science ®Google Scholar
• Balota, D. A., Pollatsek, A., & Rayner, K. (1985). The interaction of contextual constraints and parafoveal visual information in reading. Cognitive Psychology, 17, 364–390. doi:10.1016/0010-0285(85)90013-1
   PubMed Web of Science ®Google Scholar
• Bastiaanse, R., Edwards, S., & Rispens, J. (2002). Verb and Sentence Test (VAST). Bury St. Edwards, UK: Thames Valley Test Company Ltd.
   Google Scholar
• Boersma, P., & Weenink, D. (2013, January). Praat: Doing phonetics by computer [Computer program]. Version 5.4.21, Retrieved from http://www.praat.org/.
   Google Scholar
• Boland, J. (2004). Linking eye movements to sentence comprehension in reading and listening. In M. Carreiras & C. Clifton Jr (Eds.), The on-line study of sentence comprehension: Eyetracking, ERPs, and beyond, 1st (51–76). Hove, UK: Psychology Press. doi:10.4324/9780203509050
   Google Scholar
• Bose, A., & Buchanan, L. (2007). A cognitive and psycholinguistic investigation of neologisms. Aphasiology, 21, 726–738. doi:10.1080/02687030701192315
   Google Scholar
• Bose, A., Van Lieshout, P., & Square, P. A. (2007). Word frequency and bigram frequency effects on linguistic processing and speech motor performance in individuals with aphasia and normal speakers. Journal of Neurolinguistics, 20, 65–88. doi:10.1016/j.jneuroling.2006.05.001
   Web of Science ®Google Scholar
• Brysbaert, M., & New, B. (2009). Moving beyond Kucera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behavior Research Methods, 41, 977–990. doi:10.3758/BRM.41.4.977
   PubMed Web of Science ®Google Scholar
• Bub, D., Cancelliere, A., & Kertesz, A. (1985). Whole-word and analytic translation of spelling to sound in a non-semantic reader. In K. E. Patterson, J. C. Marshall, & M. Coltheart (Eds.), Surface dyslexia: Cognitive and neuropsychological studies of phonological reading. Amsterdam: North-Holland Publishing.
   Google Scholar
• Calvo, M. G., & Meseguer, E. (2002). Eye movements and processing stages in reading: Relative contribution of visual, lexical, and contextual factors. The Spanish Journal of Psychology, 5, 66–77. doi:10.1017/S1138741600005849
   PubMed Web of Science ®Google Scholar
• Cherney, L. R. (2004). Aphasia, alexia, and oral reading. Topics in Stroke Rehabilitation, 11, 22–36. doi:10.1080/02687038.2015.1052728
   PubMed Web of Science ®Google Scholar
• Chesneau, S., Joanette, Y., & Ska, B. (2007). Text comprehension and eye movements after aphasia recovery. Brain and Language, 103, 232–233. doi:10.1016/j.bandl.2007.07.019
   Web of Science ®Google Scholar
• Choy, J. J., & Thompson, C. K. (2010). Binding in agrammatic aphasia: Processing to comprehension. Aphasiology, 24, 551–579. doi:10.1080/02687030802634025
   PubMed Web of Science ®Google Scholar
• Cocks, N., Pritchard, M., Cornish, H., Johnson, N., & Cruice, M. (2013). A “novel” reading therapy programme for reading difficulties after a subarachnoid haemorrhage. Aphasiology, 27, 509–531. doi:10.1080/02687038.2013.780283
   Web of Science ®Google Scholar
• Coelho, C. (2005). Direct attention training as a treatment for reading impairment in mild aphasia. Aphasiology, 19, 275–283. doi:10.1080/02687030444000741
   Web of Science ®Google Scholar
• DeDe, G. (2012). Effects of word frequency and modality on sentence comprehension impariments in people with aphasia. American Journal of Speech-Language Pathology, 21, 103–114. doi:10.1044/1058-0360(2012/11-0082).Effects
   Web of Science ®Google Scholar
• DeDe, G. (2013). Verb transitivity bias affects on-line sentence reading in people with aphasia. Aphasiology, 27, 326–343. doi:10.1080/02687038.2012.725243
   PubMed Web of Science ®Google Scholar
• Dickerson, J., & Johnson, H. (2004). Sub-types of deep dyslexia: A case study of central deep dyslexia. Neurocase, 10, 39–47. doi:10.1080/13554790490960477
   PubMed Web of Science ®Google Scholar
• Engbert, R., Nuthmann, A., Richter, E. M., & Kliegl, R. (2005). SWIFT: A dynamical model of saccade generation during reading. Psychological Review, 112, 777–813. doi:10.1037/0033-295X.112.4.777
   PubMed Web of Science ®Google Scholar
• Folstein, M. F., Folstein, S. F., White, T., & Messer, M. A. (2010). MMSE-2 Mini-Mental State Examination. Lutz, FL: PAR.
   Google Scholar
• Germani, M. J., & Pierce, R. S. (1992). Contextual influences in reading comprehension in aphasia. Brain and Language, 42, 308–319. doi:10.1016/0093-934X(92)90103-L
   PubMed Web of Science ®Google Scholar
• Gerratt, B. R., & Jones, D. (1987). Aphasic performance on a lexical decision task: Multiple meanings and word frequency. Brain and Language, 30, 106–115. doi:10.1016/0093-934X(87)90031-9
   PubMed Web of Science ®Google Scholar
• Goodlass, H., Hyde, M. R., & Blumstein, S. (1969). Frequency, picturability and availability of nouns in aphasia. Cortex, 5, 104–119. doi:10.1016/S0010-9452(69)80022-5
   PubMedGoogle Scholar
• Hothorn, T., Hornik, K., Wiel, M. A., Van De & Zeileis, A. (2008). Implementing a class of permutation tests: The coin package. Journal of Statistical Software, 28, 1–23. doi:10.18637/jss.v028.i08
   PubMed Web of Science ®Google Scholar
• Hough, M. S., Pierce, R. S., & Cannito, M. P. (1989). Contextual influences in aphasia: Effects of predictive versus nonpredictive narratives. Brain and Language, 36, 325–334. doi:10.1016/0093-934X(89)90069-2
   PubMed Web of Science ®Google Scholar
• Huber, W., Lüer, G., & Lass, U. (1983). Processing of sentences in conditions of aphasia as assessed by recording eye movements. In R. Groner, C. Menz, & R. Monty (Eds.), Eye movements: An international perspective (pp. 315–335). N.J.: Erlbaum, Hillsdale.
   Google Scholar
• Inhoff, A. W., & Rayner, K. (1986). Parafoveal word processing during eye fixations in reading: Effects of word frequency. Perception & Psychophysics, 40, 431–439. doi:10.3758/BF03208203
   PubMed Web of Science ®Google Scholar
• Jescheniak, J. D., & Levelt, W. J. M. (1994). Word frequency effects in speech production: Retrieval of syntactic information and of phonological form. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 824–843. doi:10.1037/0278-7393.20.4.824
   Web of Science ®Google Scholar
• Juhasz, B. J., Liversedge, S. P., White, S. J., & Rayner, K. (2006). Binocular coordination of the eyes during reading: Word frequency and case alternation affect fixation duration but not fixation disparity. Quarterly Journal of Experimental Psychology, 59, 1614–1625. doi:10.1080/17470210500497722
   Web of Science ®Google Scholar
• Juhasz, B. J., & Rayner, K. (2006). The role of age of acquisition and word frequency in reading: Evidence from eye fixation durations. Visual Cognition, 13, 846–863. doi:10.1080/13506280544000075
   Web of Science ®Google Scholar
• Kay, J., Lesser, R., & Coltheart, M. (1997). Psycholinguistic assessments of language processing in aphasia. Hove, England: Psychology Press. doi:10.1080/02687039608248403
   Google Scholar
• Kennedy, A., Pynte, J., Murray, W. S., & Paul, S. (2013). Frequency and predictability effects in the Dundee Corpus: An eye movement analysis. The Quarterly Journal of Experimental Psychology, 66, 601–618. doi:10.1080/17470218.2012.676054
   PubMed Web of Science ®Google Scholar
• Kertesz, A. (2007). Western Aphasia Battery-Revised. San Antonio, Tx: Harcourt Assessment.
   Google Scholar
• Keuleers, E., Lacey, P., Rastle, K., & Brysbaert, M. (2012). The British lexicon project: Lexical decision data for 28,730 monosyllabic and disyllabic English words. Behavior Research Methods, 44, 287–304. doi:10.3758/s13428-011-0118-4
   PubMed Web of Science ®Google Scholar
• Kim, E. S., & Bolger, P. (2012). Examining the facilitative effect of semantic context on sentence reading in aphasia using eye-tracking. Proceedings from the 50th Academy of Aphasia Conference [Abstract]. Procedia - Social and Behavioral Sciences, 61, 58–59. doi:10.1016/j.sbspro.2012.10.078
   Google Scholar
• Kim, E. S., & Lemke, S. F. (2016). Behavioural and eye-movement outcomes in response to text-based reading treatment for acquired alexia. Neuropsychological Rehabilitation, 26, 60–86. doi:10.1080/09602011.2014.999688
   PubMed Web of Science ®Google Scholar
• Kittredge, A. K., Dell, G. S., Verkuilen, J., & Schwartz, M. F. (2008). Where is the effect of frequency in word production? Insights from aphasic picture-naming errors. Cognitive Neuropsychology, 25, 463–492. doi:10.1080/02643290701674851
   PubMed Web of Science ®Google Scholar
• Kliegl, R., Grabner, E., Rolfs, M., & Engbert, R. (2004). Length, frequency, and predictability effects of words on eye movements in reading. European Journal of Cognitive Psychology, 16, 262–284. doi:10.1080/09541440340000213
   Web of Science ®Google Scholar
• Klingelhöfer, J., & Conrad, B. (1984). Eye movements during reading in aphasics. European Archives of Psychiatry Neurological Sciences, 234, 175–183. doi:10.1007/BF00461558
   PubMedGoogle Scholar
• Knilans, J., & DeDe, G. (2015). Online sentence reading in people with aphasia: Evidence from eye tracking. American Journal of Speech-Language Pathology, 24, 961–973. doi:10.1044/2015
   Web of Science ®Google Scholar
• Lawrence, M. (2011). Ez: Easy analysis and visualization of factorial experiments. R package (version 3.0-0.). Retrieved from http://CRAN.R-project.org/package=ez.
   Google Scholar
• Martin, N. (2013). Disorders of word production. In I. Papathanasiou, P. Coppens, & C. Potagas (Eds.), Aphasia and related neurogenic communication disorders (1st ed., pp. 131–155). Burlington, MA: Jones & Bartlett Learning.
   Google Scholar
• Mayer, J. F., & Murray, L. (2003). Functional measures of naming in aphasia: Word retrieval in confrontation naming versus connected speech. Aphasiology, 17, 481–497. doi:10.1080/02687030344000148
   Web of Science ®Google Scholar
• Meteyard, L., Bruce, C., Edmundson, A., & Oakhill, J. (2015). Profiling text comprehension impairments in aphasia. Aphasiology, 29, 1–28. doi:10.1080/02687038.2014.955388
   Web of Science ®Google Scholar
• Meyer, A. M., Mack, J. E., & Thompson, C. K. (2012). Tracking passive sentence comprehension in agrammatic aphasia. Journal of Neurolinguistics, 25, 31–43. doi:10.1016/j.jneuroling.2011.08.001
   PubMed Web of Science ®Google Scholar
• Nozari, N., & Dell, G. S. (2009). More on lexical bias: How efficient can a “lexical editor” be? Journal of Memory and Language, 60, 291–307. doi:10.1016/j.jml.2008.09.006
   PubMed Web of Science ®Google Scholar
• Nozari, N., Kittredge, A. K., Dell, G. S., & Schwartz, M. F. (2010). Naming and repetition in aphasia: Steps, routes, and frequency effects. Journal of Memory and Language, 63, 541–559. doi:10.1016/j.jml.2010.08.001
   PubMed Web of Science ®Google Scholar
• Pashek, G. V., & Tompkins, C. A. (2002). Context and word class influences on lexical retrieval in aphasia. Aphasiology, 16, 261–286. doi:10.1080/02687040143000573
   Web of Science ®Google Scholar
• Patterson, K. E. (1994). Reading, writing and rehabilitation: A reckoning. In M. J. Riddoch & G. W. Humphreys (Eds.), Cognitive Neuropsychology and Cognitive Rehabilitation. Hove, UK: Erlbaum (UK) Taylor & Francis.
   Google Scholar
• Patterson, K. E. (2000). Phonological alexia: The case of the singing detective. In E. Funnel (Ed.), Case studies in the neuropsychology of reading (1st ed., pp. 57–84). Hove, UK: Lawrence Erlbaum Assoc.
   Google Scholar
• Perfetti, C. (2007). Reading ability: Lexical Quality to Comprehension. Scientific Studies of Reading, 11, 357–383. doi:10.1080/10888430701530730
   Web of Science ®Google Scholar
• Pierce, R. S. (1988). Influence of prior and subsequent context on comprehension in aphasia. Aphasiology, 2, 577–582. doi:10.1080/02687038808248968
   Web of Science ®Google Scholar
• Pierce, R. S. (1991). Contextual influences during comprehension in aphasia. Aphasiology, 5, 379–381. doi:10.1080/02687039108248539
   Web of Science ®Google Scholar
• Pierce, R. S., & Wagner, C. M. (1985). The role of context in facilitating syntactic decoding in aphasia. Journal of Communication Disorders, 18, 203–213. doi:10.1016/0021-9924(85)90021-8
   PubMed Web of Science ®Google Scholar
• Radach, R., & Kennedy, A. (2004). Theoretical perspectives on eye movements in reading: Past controversies, current issues, and an agenda for future research. European Journal of Cognitive Psychology, 16, 3–26. doi:10.1080/09541440340000295
   Web of Science ®Google Scholar
• Radach, R., & Kennedy, A. (2013). Eye movements in reading: Some theoretical context. Quarterly Journal of Experimental Psychology, 66, 429–452. doi:10.1080/17470218.2012.750676
   PubMed Web of Science ®Google Scholar
• Raney, G. E., Campbell, S. J., & Bovee, J. C. (2014). Using eye movements to evaluate the cognitive processes involved in text comprehension. Journal of Visualized Experiments, e50780. doi:10.3791/50780
   PubMed Web of Science ®Google Scholar
• Rapcsak, S. Z., Beeson, P. M., Henry, M. L., Leyden, A., Kim, E., Rising, K., … Cho, H. (2009). Phonological dyslexia and dysgraphia: Cognitive mechanisms and neural substrates. Cortex, 45, 575–591. doi:10.1016/j.cortex.2008.04.006
   PubMed Web of Science ®Google Scholar
• Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124, 372–422. doi:10.1037/0033-2909.124.3.372
   PubMed Web of Science ®Google Scholar
• Rayner, K., Ashby, J., Pollatsek, A., & Reichle, E. D. (2004). The effects of frequency and predictability on eye fixations in reading: Implications for the E-Z reader model. Journal of Experimental Psychology. Human Perception and Performance, 30, 720–732. doi:10.1037/0096-1523.30.4.720
   PubMed Web of Science ®Google Scholar
• Rayner, K., Binder, K. S., Ashby, J., & Pollatsek, A. (2001). Eye movement control in reading: Word predictability has little influence on initial landing positions in words. Vision Research, 41, 943–954. doi:10.1016/S0042-6989(00)00310-2
   PubMed Web of Science ®Google Scholar
• Rayner, K., Pollatsek, A., Ashby, J., & Clifton, C. (2012). Psychology of reading (2nd ed.). New York: Psychology Press.
   Google Scholar
• Rayner, K., Reichle, E. D., Stroud, M. J., Williams, C. C., & Pollatsek, A. (2006). The effect of word frequency, word predictability, and font difficulty on the eye movements of young and older readers. Psychology and Aging, 21, 448–465. doi:10.1037/0882-7974.21.3.448
   PubMed Web of Science ®Google Scholar
• Rayner, K., Slattery, T. J., Drieghe, D., & Liversedge, S. P. (2011). Eye movements and word skipping during reading: Effects of word length and predictability. Journal of Experimental Psychology. Human Perception and Performance, 37, 514–528. doi:10.1037/a0020990
   PubMed Web of Science ®Google Scholar
• R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. (Version 3.2.1) [Software]. Retrieved from http://www.Rproject.org/.
   Google Scholar
• Schattka, K. I., Radach, R., & Huber, W. (2010). Eye movement correlates of acquired central dyslexia. Neuropsychologia, 48, 2959–2973. doi:10.1016/j.neuropsychologia.2010.06.005
   PubMed Web of Science ®Google Scholar
• Stanovich, K. E. (1980). Toward and interactive-compensatory model of individual differences in the development of reading fluency. Reading Research Quarterly, 16, 32–71. doi:10.2307/747348
   Web of Science ®Google Scholar
• Stanovich, K. E. (1986). Matthew effects in reading: Some consequences of individual differences in the acquisition of literacy. Reading Research Quarterly, 21, 360–407. doi:10.1598/RRQ.21.4.1
   Web of Science ®Google Scholar
• Warrington, E. K., & Crutch, S. J. (2007). Selective category and modality effects in deep dyslexia. Neurocase, 13, 144–153. doi:10.1080/13554790701440462
   PubMed Web of Science ®Google Scholar
• Wickham, H. (2009). Ggplot2: Elegant graphics for data analysis. New York: Springer. doi:10.1007/978-0-387-98141-3
   Google Scholar
• Zingeser, L. B., & Berndt, R. S. (1988). Grammatical class and context effects in a case of pure anomia: Implications for models of language production. Cognitive Neuropsychology, 5, 473–516. doi:10.1080/02643298808253270
   Web of Science ®Google Scholar
• Zola, D. (1984). Redundancy and word perception during reading. Perception & Psychophysics, 36, 277–284. doi:10.3758/BF03206369
   PubMed Web of Science ®Google Scholar