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Regular Articles

Word frequency effects in naturalistic reading

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Pages 583-594 | Received 20 Feb 2018, Accepted 17 Sep 2018, Published online: 04 Oct 2018

References

  • Adelman, J. S., Brown, G. D. A., & Quesada, J. F. (2006). Contextual diversity, not word frequency, determines word-naming and lexical decision times. Psychological Science, 17, 814–823. doi: 10.1111/j.1467-9280.2006.01787.x
  • Adelman, J. S., Sabatos-Devito, M. G., Marquis, S. J., & Estes, Z. (2014). Individual differences in reading aloud: A mega-study, item effects, and some models. Cognitive Psychology, 68, 113–160. doi: 10.1016/j.cogpsych.2013.11.001
  • Balota, D. A., Cortese, M. J., Sergent-Marshall, S. D., Spieler, D. H., & Yap, M. (2004). Visual word recognition of single-syllable words. Journal of Experimental Psychology: General, 133, 283–316. doi: 10.1037/0096-3445.133.2.283
  • Benkı´, J. R. (2003). Quantitative evaluation of lexical status, word frequency, and neighborhood density as context effects in spoken word recognition. The Journal of the Acoustical Society of America, 113, 1689. doi: 10.1121/1.1534102
  • Binder, J. R. (2017). Current controversies on Wernicke's area and its role in language. Current Neurology and Neuroscience Reports, 17, 58. doi: 10.1007/s11910-017-0764-8
  • Binder, J. R., & Desai, R. H. (2011). The neurobiology of semantic memory. Trends in Cognitive Science, 15, 527–536. doi: 10.1016/j.tics.2011.10.001
  • Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009). Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cerebral Cortex  , 19, 2767–2796. doi: 10.1093/cercor/bhp055
  • Bookheimer, S. (2002). Functional MRI of language: New approaches to understanding the cortical organization of semantic processing. Annual Review of Neuroscience, 25, 151–188. doi: 10.1146/annurev.neuro.25.112701.142946
  • 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(4), 977–990. doi: 10.3758/BRM.41.4.977
  • Carreiras, M., Mechelli, A., & Price, C. J. (2006). Effect of word and syllable frequency on activation during lexical decision and reading aloud. Human Brain Mapping, 27, 963–972. doi: 10.1002/hbm.20236
  • Carreiras, M., Riba, J., Vergara, M., Heldmann, M., & Munte, T. F. (2009). Syllable congruency and word frequency effects on brain activation. Human Brain Mapping, 30, 3079–3088. doi: 10.1002/hbm.20730
  • Cavanna, A. E., & Trimble, M. R. (2006). The precuneus: A review of its functional anatomy and behavioural correlates. Brain, 129, 564–583. doi: 10.1093/brain/awl004
  • Chee, M. W., Hon, N. H. H., Caplan, D., Lee, H. L., & Goh, J. (2002). Frequency of concrete words modulates prefrontal activation during semantic judgments. Neuroimage, 16, 259–268. doi: 10.1006/nimg.2002.1061
  • Choi, W., Desai, R. H., & Henderson, J. M. (2014). The neural substrates of natural reading : A comparison of normal and nonword text using eyetracking and fMRI. Frontiers in Human Neuroscience, 8, 1–11.
  • Clifton, C., Ferreira, F., Henderson, J. M., Inhoff, A. W., Liversedge, S. P., Reichle, E. D., & Schotter, E. R. (2016). Eye movements in reading and information processing: Keith Rayner's 40 year legacy. Journal of Memory and Language, 86, 1–19. doi: 10.1016/j.jml.2015.07.004
  • Cohen, L., Dehaene, S., Naccache, L., Lehericy, S., Dehaene-Lambertz, G., Henaff, M. A., & Michel, F. (2000). The visual word form area: Spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients. Brain, 123(Pt 2), 291–307. doi: 10.1093/brain/123.2.291
  • Connine, C. M., Titone, D., & Wang, J. (1993). Auditory word recognition: Extrinsic and intrinsic effects of word frequency. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19, 81–94.
  • Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews. Neuroscience, 3, 201–215. doi: 10.1038/nrn755
  • Corbetta, M., & Shulman, G. L. (2011). Spatial neglect and attention networks. Annual Review of Neuroscience, 34, 569–599. doi: 10.1146/annurev-neuro-061010-113731
  • Cox, R. W. (1996). Afni: Software for analysis and visualization of functional magnetic resonance neuroimages. Computers and Biomedical Research, 29, 162–173. doi: 10.1006/cbmr.1996.0014
  • Cox, R. W., & Jesmanowicz, A. (1999). Real-time 3D image registration of functional MRI. Magnetic Resonance in Medicine, 42, 1014–1018. doi: 10.1002/(SICI)1522-2594(199912)42:6<1014::AID-MRM4>3.0.CO;2-F
  • Desai, R. H., Choi, W., Lai, V. T., & Henderson, J. M. (2016). Toward semantics in the wild: Activation to manipulable nouns in naturalistic reading. Journal of Neuroscience, 36, 4050–4055. doi: 10.1523/JNEUROSCI.1480-15.2016
  • Devlin, J. T., Matthews, P. M., & Rushworth, M. F. S. (2003). Semantic processing in the left inferior prefrontal cortex: A combined functional magnetic resonance imaging and transcranial magnetic stimulation study. Journal of Cognitive Neuroscience, 15, 71–84. doi: 10.1162/089892903321107837
  • Dodge, R. (1901). The psychology of reading. Psychological Review, 8, 56–60. doi: 10.1037/h0074611
  • Dosenbach, N. U., Fair, D. A., Cohen, A. L., Schlaggar, B. L., & Petersen, S. E. (2008). A dual-networks architecture of top-down control. Trends in Cognitive Sciences, 12, 99–105. doi: 10.1016/j.tics.2008.01.001
  • 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
  • Epstein, R. A., Parker, W. E., & Feiler, A. M. (2007). Where am I now? Distinct roles for parahippocampal and retrosplenial cortices in place recognition. Journal of Neuroscience, 27, 6141–6149. doi: 10.1523/JNEUROSCI.0799-07.2007
  • Fiebach, C. J., Friederici, A. D., Muller, K., & von Cramon, D. Y. (2002). Fmri evidence for dual routes to the mental lexicon in visual word recognition. Journal of Cognitive Neuroscience, 14, 11–23. doi: 10.1162/089892902317205285
  • Fiez, J. A., Balota, D. A., Raichle, M. E., & Petersen, S. E. (1999). Effects of lexicality, frequency, and spelling-to-sound consistency on the functional anatomy of reading. Neuron, 24, 205–218. doi: 10.1016/S0896-6273(00)80833-8
  • Graves, W. W., Desai, R., Humphries, C., Seidenberg, M. S., & Binder, J. R. (2010). Neural systems for reading aloud: A multiparametric approach. Cerebral Cortex , 20, 1799–1815. doi: 10.1093/cercor/bhp245
  • Hauk, O., Davis, M. H., & Pulvermuller, F. (2008). Modulation of brain activity by multiple lexical and word form variables in visual word recognition: A parametric fMRI study. Neuroimage, 42, 1185–1195. doi: 10.1016/j.neuroimage.2008.05.054
  • Henderson, J. M., & Choi, W. (2015). Neural correlates of fixation duration during real-world scene viewing: Evidence from fixation-related (FIRE) fMRI. Journal of Cognitive Neuroscience, 27(6), 1137–1145. doi: 10.1162/jocn_a_00769
  • Henderson, J. M., Choi, W., Lowder, M. W., & Ferreira, F. (2016). Language structure in the brain: A fixation-related fMRI study of syntactic surprisal in reading. Neuroimage, 132, 293–300. doi: 10.1016/j.neuroimage.2016.02.050
  • Henderson, J. M., Choi, W., Luke, S. G., & Desai, R. H. (2015). Neural correlates of fixation duration in natural reading: Evidence from fixation-related fMRI. Neuroimage, 119, 390–397. doi: 10.1016/j.neuroimage.2015.06.072
  • Henderson, J. M., & Ferreira, F. (1990). Effects of foveal processing difficulty on the perceptual span in reading – Implications for attention and eye-movement control. Journal of Experimental Psychology. Learning, Memory and Cognition, 16, 417–429. doi: 10.1037/0278-7393.16.3.417
  • Hennessey, N. W., & Kirsner, K. (1999). The role of sub-lexical orthography in naming: A performance and acoustic analysis. Acta Psychologica (Amst), 103, 125–148. doi: 10.1016/S0001-6918(99)00033-5
  • Humphries, C., Love, T., Swinney, D., & Hickok, G. (2005). Response of anterior temporal cortex to syntactic and prosodic manipulations during sentence processing. Human Brain Mapping, 26, 128–138. doi: 10.1002/hbm.20148
  • Humphries, C., Willard, K., Buchsbaum, B., & Hickok, G. (2001). Role of anterior temporal cortex in auditory sentence comprehension: An fMRI study. Neuroreport, 12, 1749–1752. doi: 10.1097/00001756-200106130-00046
  • Huttenlocher, J., & Kubicek, L. F. (1983). The source of relatedness effects on naming latency. Journal of Experimental Psychology. Learning, Memory and Cognition, 9, 486–496. doi: 10.1037/0278-7393.9.3.486
  • 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
  • Joubert, S. A., Beauregard, M., Walter, N., Bourgouin, P., Beaudoin, G., Leroux, J.-M., … Roch Lecours, A. (2004). Neural correlates of lexical and sublexical processes in reading. Brain and Language, 89, 9–20. doi: 10.1016/S0093-934X(03)00403-6
  • 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
  • Kronbichler, M., Hutzler, F., Wimmer, H., Mair, A., Staffen, W., & Ladurner, G. (2004). The visual word form area and the frequency with which words are encountered: Evidence from a parametric fMRI study. NeuroImage, 21, 946–953. doi: 10.1016/j.neuroimage.2003.10.021
  • Lowder, M. W., Choi, W., Ferreira, F., & Henderson, J. M. (2018). Lexical predictability during natural reading: Effects of surprisal and entropy reduction. Cognitive Science, 42(S4), 1166–1183. doi: 10.1111/cogs.12597
  • Magnusdottir, S., Fillmore, P., den Ouden, D. B., Hjaltason, H., Rorden, C., Kjartansson, O., … Fridriksson, J. (2013). Damage to left anterior temporal cortex predicts impairment of complex syntactic processing: A lesion-symptom mapping study. Human Brain Mapping, 34, 2715–2723. doi: 10.1002/hbm.22096
  • Mechelli, A., Crinion, J. T., Long, S., Friston, K. J., Lambon Ralph, M. A., Patterson, K. … Price, C. J. (2005). Dissociating reading processes on the basis of neuronal interactions. Journal of Cognitive Neuroscience, 17, 1753–1765. doi: 10.1162/089892905774589190
  • Mirman, D., & Magnuson, J. S. (2008). Attractor dynamics and semantic neighborhood density processing is slowed by near neighbors and speeded by distant neighbors. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 65–79.
  • Monsell, S. (1991). The nature and locus of word frequency effects in reading. In D. Besner, & G. Humphreys (Eds.) Basic processes in reading: Visual word recognition (pp. 148–197). Hillsdale, NJ: Lawrence Erlbaum.
  • Monsell, S., Doyle, M. C., & Haggard, P. N. (1989). Effects of frequency on visual word recognition tasks – Where are they. Journal of Experimental Psychology-General, 118, 43–71. doi: 10.1037/0096-3445.118.1.43
  • Nelson, D. L., & McEvoy, C. L. (2000). What is this thing called frequency? Memory & Cognition, 28, 509–522. doi: 10.3758/BF03201241
  • Pexman, P. M., Hargreaves, I. S., Siakaluk, P. D., Bodner, G. E., & Pope, J. (2008). There are many ways to be rich: Effects of three measures of semantic richness on visual word recognition. Psychonomic Bulletin & Review, 15, 161–167. doi: 10.3758/PBR.15.1.161
  • Prabhakaran, R., Blumstein, S. E., Myers, E. B., Hutchison, E., & Britton, B. (2006). An event-related fMRI investigation of phonological-lexical competition. Neuropsychologia, 44, 2209–2221. doi: 10.1016/j.neuropsychologia.2006.05.025
  • Rayner, K. (2009). Eye movements and attention in reading, scene perception, and visual search. Quarterly Journal of Experimental Psychology, 62, 1457–1506. doi: 10.1080/17470210902816461
  • Rayner, K., & Clifton, C. (2009). Language processing in reading and speech perception is fast and incremental: Implications for event-related potential research. Biological Psychology, 80, 4–9. doi: 10.1016/j.biopsycho.2008.05.002
  • Rayner, K., & Duffy, S. A. (1986). Lexical complexity and fixation times in reading: Effects of word frequency, verb complexity, and lexical ambiguity. Memory and Cognition, 14, 191–201. doi: 10.3758/BF03197692
  • Rayner, K., Pollatsek, A., & Reichle, E. D. (2003). Eye movements in reading: Models and data. Behavioral and Brain Sciences, 26, 507–526. doi: 10.1017/S0140525X03520106
  • Recchia, G., & Jones, M. N. (2012). The semantic richness of abstract concepts. Frontiers in Human Neuroscience, 6, 315. doi: 10.3389/fnhum.2012.00315
  • Reichle, E. D., Rayner, K., & Pollatsek, A. (2003). The E-Z reader model of eye-movement control in reading: Comparisons to other models. Behavioral and Brain Sciences, 26, 445–476. doi: 10.1017/S0140525X03000104
  • Reilly, M., & Desai, R. H. (2017). Effects of semantic neighborhood density in abstract and concrete words. Cognition, 169, 46–53. doi: 10.1016/j.cognition.2017.08.004
  • Richlan, F., Gagl, B., Hawelka, S., Braun, M., Schurz, M., & Kronbichler, M. (2014). Fixation-related fMRI analysis in the domain of reading research: Using self-paced eye movements as markers for hemodynamic brain responses during visual letter string processing. Cerebral Cortex, 24, 2647–2656. doi: 10.1093/cercor/bht117
  • Roark, B. (2001). Probabilistic top-down parsing and language modeling. Computational Linguistics, 27, 249–276. doi: 10.1162/089120101750300526
  • Roark, B., Bachrach, A., Cardenas, C., & Pallier, C. (2009). Deriving lexical and syntactic expectation-based measures for psychological modelling via incremental top-down parsing. In Conference on empirical methods in natural language processing (pp. 324–333). Singapore: ACL.
  • Rogalsky, C., & Hickok, G. (2009). Selective attention to semantic and syntactic features modulates sentence processing networks in anterior temporal cortex. Cerebral Cortex, 19, 786–796. doi: 10.1093/cercor/bhn126
  • Saad, Z. S., Glen, D. R., Chen, G., Beauchamp, M. S., Desai, R., & Cox, R. W. (2009). A new method for improving functional-to-structural MRI alignment using local Pearson correlation. Neuroimage, 44, 839–848. doi: 10.1016/j.neuroimage.2008.09.037
  • Schilling, H. H., Rayner, K., & Chumbley, J. I. (1998). Comparing naming, lexical decision, and eye fixation times: Word frequency effects and individual differences. Memory & Cognitive, 26, 1270–1281. doi: 10.3758/BF03201199
  • Schuster, S., Hawelka, S., Hutzler, F., Kronbichler, M., & Richlan, F. (2016). Words in context: The effects of length, frequency, and predictability on brain responses during natural reading. Cerebral Cortex, 26(10), 3889–3904. doi: 10.1093/cercor/bhw184
  • Talairach, J., & Tournoux, P. (1988). Co-planar stereotaxic atlas of the human brain. New York, NY: Thieme Medical.
  • Van Essen, C., Drury, D., Dickson, H., Harwell, J., Hanlon, J., & Anderson, D. H. M. (2001). An integrated software suite for surface based analyses of cerebral cortex. Journal of the American Medical Informatics Association : JAMIA, 8, 443–59. doi: 10.1136/jamia.2001.0080443
  • Vann, S. D., Aggleton, J. P., & Maguire, E. A. (2009). What does the retrosplenial cortex do? Nature Reviews Neuroscience, 10, 792–802. doi: 10.1038/nrn2733
  • Velichkovsky, B. M., Hooymans, J. M., & Cornelissen, F. W. (2012). Fixation based event-related fmri analysis: Using eye fixations as events in functional magnetic resonance imaging to reveal cortical processing during the free exploration of visual images. Hum. Brain Mapp, 33, 307–318. doi: 10.1002/hbm.21211
  • Wang, J., Conder, J. A., Blitzer, D. N., & Shinkareva, S. V. (2010). Neural representation of abstract and concrete concepts: A meta-analysis of neuroimaging studies. Human Brain Mapping, 31, 1459–1468. doi: 10.1002/hbm.20950
  • Wilson, S. M., DeMarco, A. T., Henry, M. L., Gesierich, B., Babiak, M., Mandelli, M. L., … Gorno-Tempini, M. L. (2014). What role does the anterior temporal lobe play in sentence-level processing? Neural correlates of syntactic processing in semantic variant primary progressive aphasia. Journal of Cognitive Neuroscience, 26, 970–985. doi: 10.1162/jocn_a_00550
  • Yap, M. J., Pexman, P. M., Wellsby, M., Hargreaves, I. S., & Huff, M. J. (2012). An abundance of riches: Cross-task comparisons of semantic richness effects in visual word recognition. Frontiers in Human Neuroscience, 6, 72. doi: 10.3389/fnhum.2012.00072
  • Yap, M. J., Tan, S. E., Pexman, P. M., & Hargreaves, I. S. (2011). Is more always better? Effects of semantic richness on lexical decision, speeded pronunciation, and semantic classification. Psychonomic Bulletin & Review, 18, 742–750. doi: 10.3758/s13423-011-0092-y
  • Yarkoni, T., Speer, N. K., Balota, D. A., McAvoy, M. P., & Zacks, J. M. (2008). Pictures of a thousand words: Investigating the neural mechanisms of reading with extremely rapid event-related fMRI. Neuroimage, 42, 973–987. doi: 10.1016/j.neuroimage.2008.04.258
  • Zdrazilova, L., & Pexman, P. M. (2013). Grasping the invisible: Semantic processing of abstract words. Psychonomic Bulletin & Review, 20, 1312–1318. doi: 10.3758/s13423-013-0452-x

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