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Original Articles

Interactions of reading and semantics along the ventral visual processing stream

, , , &
Pages 21-37 | Received 05 Mar 2018, Accepted 28 Jan 2019, Published online: 01 Mar 2019

References

  • Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. doi: 10.18637/jss.v067.i01
  • Binney, R. J., Embleton, K. V., Jefferies, E., Parker, G. J. M., & Lambon Ralph, M. A. (2010). The ventral and inferolateral aspects of the anterior temporal lobe are crucial in semantic memory: Evidence from a novel direct comparison of distortion-corrected fMRI, rTMS, and semantic dementia. Cerebral Cortex, 20(11), 2728–2738. doi: 10.1093/cercor/bhq019
  • Borowsky, R., & Besner, D. (2000). Lexical access codes in visual word recognition: Are the joint effects of context and stimulus quality diagnostic? Canadian Journal of Experimental Psychology = Revue Canadienne de Psychologie Expérimentale, 54, 196–207. doi: 10.1037/h0087341
  • Borowsky, R., Cummine, J., Owen, W. J., Friesen, C. K., Shih, F., & Sarty, G. E. (2006). FMRI of ventral and dorsal processing streams in basic reading processes: Insular Sensitivity to phonology. Brain Topography, 18(4), 233–239. doi: 10.1007/s10548-006-0001-2
  • Borowsky, R., Esopenko, C., Cummine, J., & Sarty, G. E. (2007). Neural representations of visual words and objects: A functional MRI study on the Modularity of reading and object processing. Brain Topography, 20(2), 89–96. doi: 10.1007/s10548-007-0034-1
  • Borowsky, R., Esopenko, C., Gould, L., Kuhlmann, N., Sarty, G., & Cummine, J. (2013). Localisation of function for noun and verb reading: Converging evidence for shared processing from fMRI activation and reaction time. Language and Cognitive Processes, 28(6), 789–809. doi: 10.1080/01690965.2012.665466
  • Borowsky, R., Loehr, J., Friesen, C. K., Kraushaar, G., Kingstone, A., & Sarty, G. (2005). Modularity and intersection of “what”, “where” and “How” processing of visual stimuli: A new method of fMRI localization. Brain Topography, 18(2), 67–75. doi: 10.1007/s10548-005-0276-8
  • Canas, J. J. (1990). Associative strength effects in the lexical decision task. The Quarterly Journal of Experimental Psychology Section A, 42(1), 121–145. doi: 10.1080/14640749008401211
  • Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, 82(6), 407–428. doi: 10.1037/0033-295X.82.6.407
  • Coltheart, M., Rastle, K., Perry, C., & Langdon, R. (2001). DRC: A dual route Cascaded model of visual word recognition and reading aloud. Psychological Review, 108(1), 204–256. doi:10.1037//0033-295X.108.1.204 doi: 10.1037/0033-295X.108.1.204
  • Cortese, M. J., & Fugett, A. (2004). Imageability ratings for 3,000 monosyllabic words. Behavior Research Methods, Instruments, & Computers, 36(3), 384–387. doi: 10.3758/BF03195585
  • Culham, J. (2006). Functional neuroimaging: Experimental design and analysis. In R. Cabeza, & A. Kingstone (Eds.), Handbook of functional neuroimaging of cognition (pp. 53–82). Cambridge, MA: MIT Press.
  • Cummine, J., Aalto, D., Ostevik, A., Cheema, K., & Hodgetts, W. (2018). “To name or not to name: That is the Question”: The role of response inhibition in reading. Journal of Psycholinguistic Research. doi: 10.1007/s10936-018-9572-9
  • Cummine, J., Gould, L., Zhou, C., Hrybouski, S., Siddiqi, Z., Chouinard, B., & Borowsky, R. (2013). Manipulating instructions strategically affects reliance on the ventral-lexical reading stream: Converging evidence from neuroimaging and reaction time. Brain and Language, 125(2), 203–214. doi: 10.1016/j.bandl.2012.04.009
  • Cummine, J., Sarty, G. E., & Borowsky, R. (2010). Localizing the Frequency x Regularity word reading interaction in the cerebral cortex. Neuropsychologia, 48(7), 2147–2157. doi: 10.1016/j.neuropsychologia.2010.04.006
  • Damasio, H., Grabowski, T. J., Tranel, D., Hichwa, R. D., & Damasio, A. R. (1996). A neural basis for lexical retrieval. Nature, 380(6574), 499–505. doi: 10.1038/380499a0
  • Damasio, H., Tranel, D., Grabowski, T., Adolphs, R., & Damasio, A. (2004). Neural systems behind word and concept retrieval. Cognition, 92(1–2), 179–229. doi: 10.1016/j.cognition.2002.07.001
  • Ekstrand, C., Mickleborough, M., Fourney, D. R., Gould, L., Lorentz, E., Ellchuk, T., & Borowsky, R. (2016). Pre-surgical integration of fMRI and DTI of the sensorimotor system in transcortical resection of a high-grade insular astrocytoma. Frontiers in Integrative Neuroscience, 10. doi: 10.3389/fnint.2016.00015
  • Ekstrand, C., Neudorf, J., Lorentz, E., Gould, L., Mickleborough, M., & Borowsky, R. (2017). More than a feeling: The bidirectional convergence of semantic visual object and somatosensory processing. Acta Psychologica, 181, 1–9. doi: 10.1016/j.actpsy.2017.09.016
  • Esopenko, C., Gould, L., Cummine, J., Sarty, G., Kulhman, N., & Borowsky, R. (2012). A neuroanatomical Examination of embodied cognition: Semantic generation to action-related stimuli. Frontiers in Human Neuroscience, 6, 84. doi: 10.3389/fnhum.2012.00084
  • Ferraresi, A., Zanchetta, E., Baroni, M., & Bernardini, S. (2008). Introducing and evaluating ukWaC, a very large web-derived corpus of English. In Proceedings of the 4th Web as CorpusWorkshop (WAC-4) can we beat Google (pp. 47–54). Retrieved from http://www.researchgate.net/profile/Adam_Kilgarriff/publication/237127354_Proceedings_of_the_4_th_Web_as_Corpus_Workshop_(WAC4)_Can_we_beat_Google/links/00b7d5290647fbc33f000000.pdf#page=53
  • Fodor, J. (1983). The modularity of mind. Cambridge, MA: MIT Press.
  • Goodale, M. A., & Milner, A. D. (1992). Separate visual pathways for perception and action. Trends in Neurosciences, 15(1), 20–25. doi: 10.1016/0166-2236(92)90344-8
  • Gould, L., Mickleborough, M. J. S., Ekstrand, C., Lorentz, E., & Borowsky, R. (2017). Examining the neuroanatomical and the behavioural basis of the effect of basic rhythm on reading aloud. Language, Cognition and Neuroscience, 32(6), 724–742. doi: 10.1080/23273798.2016.1271135
  • Gould, L., Mickleborough, M., Wu, A., Tellez-Zenteno, J., Ekstrand, C., Lorentz, E., … Borowsky, R. (2015). Pre-surgical language mapping in epilepsy: Using fMRI of reading to identify functional reorganization in a patient with long-standing temporal lobe epilepsy. Epilepsy & Behavior Case Reports, 5, doi: 10.1016/j.ebcr.2015.10.003
  • Gray, H. (1918). Anatomy of the Human body (20th ed). New York: Lea and Febiger.
  • Hohenstein, S., & Kliegl, R. (2015). remef: Remove partial effects. (R package version 1.0.6.9000 [Computer software]) Retrieved from https://github.com/hohenstein/remef/
  • Hohenstein, S., Matuschek, H., & Kliegl, R. (2017). Linked linear mixed models: A joint analysis of fixation locations and fixation durations in natural reading. Psychonomic Bulletin & Review, 24(3), 637–651. doi: 10.3758/s13423-016-1138-y
  • Kersten, A. W., & Earles, J. L. (2004). Semantic context influences memory for verbs more than memory for nouns. Memory & Cognition, 32(2), 198–211. doi: 10.3758/BF03196852
  • Mandera, P., Keuleers, E., & Brysbaert, M. (2017). Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting: A review and empirical validation. Journal of Memory and Language, 92, 57–78. doi: 10.1016/j.jml.2016.04.001
  • Martin, A. (2007). The representation of object concepts in the brain. Annual Review of Psychology, 58(1), 25–45. doi: 10.1146/annurev.psych.57.102904.190143
  • Martin, C. B., Douglas, D., Newsome, R. N., Man, L. L., & Barense, M. D. (2018). Integrative and distinctive coding of visual and conceptual object features in the ventral visual stream. ELife, 7, e31873. doi: 10.7554/eLife.31873
  • Matuschek, H., Kliegl, R., Vasishth, S., Baayen, H., & Bates, D. (2017). Balancing type I error and power in linear mixed models. Journal of Memory and Language, 94, 305–315. doi: 10.1016/j.jml.2017.01.001
  • McNamara, T. P. (2005). Semantic priming: Perspectives from memory and word recognition. New York, NY: Taylor & Francis.
  • Mickleborough, M., Kelly, M., Gould, L., Ekstrand, C., Lorentz, E., Ellchuk, T., … Borowsky, R. (2015). Inclusion of attentional networks in the pre-surgical neuroimaging assessment of a large deep hemispheric cavernous malformation: An fMRI case report. Cerebrovascular Diseases (Basel, Switzerland), 39, 202–208. doi: 10.1159/000376612
  • Mirman, D., Yee, E., Blumstein, S. E., & Magnuson, J. S. (2011). Theories of spoken word recognition deficits in Aphasia: Evidence from eye-tracking and computational modeling. Brain and Language, 117(2), 53–68. doi: 10.1016/j.bandl.2011.01.004
  • Moss, H. E., Ostrin, R. K., Tyler, L. K., & Marslen-Wilson, W. D. (1995). Accessing different types of lexical semantic information: Evidence from priming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21(4), 863–883.
  • Patterson, K., Nestor, P. J., & Rogers, T. T. (2007). Where do you know what you know? The representation of semantic knowledge in the human brain. Nature Reviews Neuroscience, 8(12), 976–987. doi: 10.1038/nrn2277
  • Perry, C., Ziegler, J. C., & Zorzi, M. (2007). Nested incremental modeling in the development of computational theories: The CDP+ model of reading aloud. Psychological Review, 114(2), 273–315. doi:10.1037/0033-295X.114.2.273
  • Perry, C., Ziegler, J. C., & Zorzi, M. (2010). Beyond single syllables: Large-scale modeling of reading aloud with the connectionist dual process (CDP++) model. Cognitive Psychology, 61(2), 106–151. doi: 10.1016/j.cogpsych.2010.04.001
  • Plaut, D. C., McClelland, J. L., Seidenberg, M. S., & Patterson, K. (1996). Understanding normal and impaired word reading: Computational principles in quasi-regular domains. Psychological Review, 103(1), 56–115. doi: 10.1037/0033-295X.103.1.56
  • Poeppel, D., & Monahan, P. J. (2008). Speech perception: Cognitive foundations and cortical implementation. Current Directions in Psychological Science, 17(2), 80–85. doi: 10.1111/j.1467-8721.2008.00553.x
  • Price, C. J. (2012). A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading. NeuroImage, 62(2), 816–847. doi: 10.1016/j.neuroimage.2012.04.062
  • Price, C. J., & Devlin, J. T. (2004). The pro and cons of labelling a left occipitotemporal region: “the visual word form area”. NeuroImage, 22(1), 477–479. doi: 10.1016/j.neuroimage.2004.01.018
  • R Core Team. (2017). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/
  • Rogers, T. T., & McClelland, J. L. (2003). Semantic cognition: A parallel distributed processing approach. Cambridge, MA: MIT Press.
  • Shallice, T. (1988). Specialisation within the semantic system. Cognitive Neuropsychology, 5(1), 133–142. doi: 10.1080/02643298808252929
  • Shallice, T. (1993). Multiple semantics: Whose confusions? Cognitive Neuropsychology, 10(3), 251–261. doi: 10.1080/02643299308253463
  • Shaoul, C., & Westbury, C. (2010). Exploring lexical co-occurrence space using HiDEx. Behavior Research Methods, 42(2), 393–413. doi: 10.3758/BRM.42.2.393
  • Tillotson, S. M., Siakaluk, P. D., & Pexman, P. M. (2008). Body—object interaction ratings for 1,618 monosyllabic nouns. Behavior Research Methods, 40(4), 1075–1078. doi: 10.3758/BRM.40.4.1075
  • Tulving, E. (1984). Précis of elements of episodic memory. Behavioral and Brain Sciences, 7(2), 223. doi: 10.1017/S0140525X0004440X
  • Ungerleider, L. G., & Mishkin, M. (1982). Two cortical visual systems. In D. J. Ingle, M. A. Goodale, & R. J. W. Mansfield (Eds.), Analysis of visual behaviour (pp. 549–586). Cambridge: MIT Press.
  • Visser, M., Jefferies, E., & Ralph, M. L. (2010). Semantic processing in the anterior temporal lobes: A meta-analysis of the functional neuroimaging literature. Journal of Cognitive Neuroscience, 22(6), 1083–1094. doi: 10.1162/jocn.2009.21309
  • Yee, E., Blumstein, S. E., & Sedivy, J. C. (2008). Lexical-semantic activation in Broca’s and Wernicke’s aphasia: Evidence from eye movements. Journal of Cognitive Neuroscience, 20(4), 592–612. doi: 10.1162/jocn.2008.20056

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