Semantic richness, concreteness, and object domain: An electrophysiological study

Canadian Journal of Experimental Psychology

Volumn 67, Issue 2, 2013, Pages 117-129

  Amsel, Ben D ^a   Cree, George S ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

Concreteness; ERP; Event related potential; Semantic richness; Word recognition

Indexed keywords

ADOLESCENT; ANALYSIS OF VARIANCE; ARTICLE; BRAIN MAPPING; CONCEPT FORMATION; DECISION MAKING; ELECTROENCEPHALOGRAPHY; EVOKED RESPONSE; FEMALE; HUMAN; LINGUISTICS; MALE; NEUROPSYCHOLOGICAL TEST; PHYSIOLOGY; SEMANTICS; YOUNG ADULT;

ADOLESCENT; ANALYSIS OF VARIANCE; BRAIN MAPPING; CONCEPT FORMATION; DECISION MAKING; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; FEMALE; HUMANS; MALE; NEUROPSYCHOLOGICAL TESTS; PSYCHOLINGUISTICS; SEMANTICS; VOCABULARY; YOUNG ADULT;

EID: 84884562198     PISSN: 11961961     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0029807     Document Type: Article

References (80)

1. Amsel, B. D. (2011). Tracking real-time neural activation of conceptual knowledge using single-trial event-related potentials. Neuropsychologia, 49, 970-983. doi:10.1016/j.neuropsychologia.2011.01.003
2. Amsel, B. D., Urbach, T. P., & Kutas, M. (2012). Perceptual and motor attribute ratings for 559 object concepts. Behavior Research Methods. doi:10.3758/s13428-012-0215-z
3. Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59, 390-412. doi:10.1016/j.jml.2007.12.005
4. Bedny, M., & Thompson-Schill, S. L. (2006). Neuroanatomically separable effects of imageability and grammatical class during single-word comprehension. Brain and Language, 98, 127-139. doi:10.1016/j.bandl .2006.04.008 (Pubitemid 44061933)
5. Bennett, S. D. R., Burnett, A. N., Siakaluk, P. D., & Pexman, P. M. (2011). Imageability and body-object interaction ratings for 599 multisyllabic nouns. Behavior Research Methods, 43, 1100-1109. doi:10.3758/s13428-011-0117-5
6. Bentin, S., Mouchetant-Rostaing, Y., Giard, M. H., Echallier, J. F., & Pernier, J. (1999). ERP manifestations of processing printed words at different psycholinguistic levels: Time course and scalp distribution. Journal of Cognitive Neuroscience, 11, 235-260. doi:10.1162/089892999563373 (Pubitemid 29281524)
7. Binder, J. R., Westbury, C. F., McKiernan, K. A., Possing, E. T., & Medler, D. A. (2005). Distinct brain systems for processing concrete and abstract concepts. Journal of Cognitive Neuroscience, 17, 905-917. doi:10.1162/0898929054021102 (Pubitemid 40800024)
8. Casey, P. J. (1992). A reexamination of the roles of typicality and category dominance in verifying category membership. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18, 823-834. doi: 10.1037/0278-7393.18.4.823
9. Chao, L. L., Haxby, J. V., & Martin, A. (1999). Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects. Nature Neuroscience, 2, 913-919. doi:10.1038/13217 (Pubitemid 30602606)
10. Clarke, A., Taylor, K. I., & Tyler, L. K. (2011). The evolution of meaning: Spatio-temporal dynamics of visual object recognition. Journal of Cognitive Neuroscience, 23, 1887-1899. doi:10.1162/jocn.2010.21544
11. Coltheart, M. (1981). The mrc psycholinguistic database. Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology, 33, 497-505.
12. Cree, G. S., McNorgan, C., & McRae, K. (2006). Distinctive features hold a privileged status in the computation of word meaning: Implications for theories of semantic memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32, 643-658. doi:10.1037/0278-7393.32.4.643 (Pubitemid 44157645)
13. Cree, G. S., & McRae, K. (2003). Analyzing the factors underlying the structure and computation of the meaning of chipmunk, cherry, chisel, cheese, and cello (and many other such concrete nouns). Journal of Experimental Psychology: General, 132, 163-201. doi:10.1037/0096-3445.132.2.163 (Pubitemid 37170589)
14. D'Esposito, M., Detre, J. A., Aguirre, G. K., Stallcup, M., Alsop, D. C., Tippet, L. J., . . . Farah, M. J. (1997). A functional MRI study of mental image generation. Neuropsychologia, 35, 725-730. doi:10.1016/S0028-3932(96) 00121-2 (Pubitemid 27198906)
15. Dixon, M., Bub, D. N., & Arguin, M. (1997). The interaction of object form and object meaning in the identification performance of a patient with category-specific visual agnosia. Cognitive Neuropsychology, 14, 1085-1130. doi:10.1080/026432997381286 (Pubitemid 127520788)
16. Federmeier, K. D., & Kutas, M. (2001). Meaning and modality: Influences of context, semantic memory organization, and perceptual predictability on picture processing. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27, 202-224. doi:10.1037/0278-7393.27.1.202 (Pubitemid 33684371)
17. Ganis, G., Kutas, M., & Sereno, M. I. (1996). The search for "common sense": An electrophysiological study of the comprehension of words and pictures in reading. Journal of Cognitive Neuroscience, 8, 89-106. doi:10.1162/jocn.1996.8.2.89
18. Goldberg, R. F., Perfetti, C. A., & Schneider, W. (2006). Perceptual knowledge retrieval activates sensory brain regions. Journal of Neuroscience, 26, 4917-4921. doi:10.1523/JNEUROSCI.5389-05.2006 (Pubitemid 44315333)
19. Greenwald, A. G., Draine, S. C., & Abrams, R. L. (1996). Three cognitive markers of unconscious semantic activation. Science, 273, 1699-1702. doi:10.1126/science.273.5282.1699 (Pubitemid 26317783)
20. Grondin, R., Lupker, S. J., & McRae, K. (2009). Shared features dominate semantic richness effects for concrete concepts. Journal of Memory and Language, 60, 1-19. doi:10.1016/j.jml.2008.09.001
21. Hauk, O., Davis, M. H., Ford, M., Pulvermuller, F., & Marslen-Wilson, W. D. (2006). The time course of visual word recognition as revealed by linear regression analysis of ERP data. NeuroImage, 30, 1383-1400. doi:10.1016/j. neuroimage.2005.11.048
22. Hauk, O., Davis, M. H., Kherif, F., & Pulvermüller, F. (2008). Imagery or meaning? evidence for a semantic origin of category-specific brain activity in metabolic imaging. European Journal of Neuroscience, 27, 1856-1866. doi:10.1111/j.1460-9568.2008.06143.x (Pubitemid 351473585)
23. Hauk, O., Pulvermüller, F., Ford, M., Marslen-Wilson, W. D., & Davis, M. H. (2009). Can I have a quick word? early electrophysiological manifestations of psycholinguistic processes revealed by event-related regression analysis of the EEG. Biological Psychology, 80, 64-74. doi:10.1016/j.biopsycho.2008.04.015
24. Holcomb, P. J., Kounios, J., Anderson, J. E., & West, W. C. (1999). Dual-coding, context-availability, and concreteness effects in sentence comprehension: An electrophysiological investigation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25, 721-742. doi:10.1037/0278-7393. 25.3.721
25. Huang, H. W., Lee, C., & Federmeier, K. D. (2010). Imagine that! ERPs provide evidence for distinct hemispheric contributions to the processing of concrete and abstract concepts. NeuroImage, 49, 1116-1123. doi: 10.1016/j.neuroimage.2009.07.031
26. Kellenbach, M. L., Wijers, A. A., Hovius, M., Mulder, J., & Mulder, G. (2002). Neural differentiation of lexico-syntactic categories or semantic features? event-related potential evidence for both. Journal of Cognitive Neuroscience, 14, 561-577. doi:10.1162/08989290260045819 (Pubitemid 34553653)
27. Kellenbach, M. L., Wijers, A. A., & Mulder, G. (2000). Visual semantic features are activated during the processing of concrete words: Eventrelated potential evidence for perceptual semantic priming. Cognitive Brain Research, 10, 67-75. doi:10.1016/S0926-6410(00)00023-9
28. Kiefer, M. (2001). Perceptual and semantic sources of category-specific effects: Event-related potentials during picture and word categorization. Memory & Cognition, 29, 100-116. doi:10.3758/BF03195745 (Pubitemid 34157806)
29. Kiefer, M. (2005). Repetition-priming modulates category-related effects on event-related potentials: Further evidence for multiple cortical semantic systems. Journal of Cognitive Neuroscience, 17, 199-211. doi: 10.1162/0898929053124938 (Pubitemid 40194705)
30. Kiefer, M., Sim, E., Herrnberger, B., Grothe, J., & Hoenig, K. (2008). The sound of concepts: Four markers for a link between auditory and conceptual brain systems. The Journal of Neuroscience, 28, 12224-12230. doi:10.1523/JNEUROSCI.3579-08.2008
31. Kounios, J., Green, D. L., Payne, L., Fleck, J. I., Grondin, R., & McRae, K. (2009). Semantic richness and the activation of concepts in semantic memory: Evidence from event-related potentials. Brain Research, 1282, 95-102. doi:10.1016/j.brainres.2009.05.092
32. Kounios, J., & Holcomb, P. J. (1994). Concreteness effects in semantic processing-erp evidence supporting dual-coding theory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 804-823. doi:10.1037/0278-7393.20.4.804
33. Kutas, M., & Federmeier, K. D. (2000). Electrophysiology reveals semantic memory use in language comprehension. Trends in Cognitive Sciences, 4, 463-470. doi:10.1016/S1364-6613(00)01560-6
34. Lambon Ralph, M. A., Lowe, C., & Rogers, T. T. (2007). Neural basis of category-specific semantic deficits for living things: Evidence from semantic dementia, HSVE and a neural network model. Brain: A Journal of Neurology, 130, 1127-1137. doi:10.1093/brain/awm025 (Pubitemid 47355601)
35. Larochelle, S., & Pineau, H. (1994). Determinants of response-times in the semantic verification task. Journal of Memory and Language, 33, 796-823. doi:10.1006/jmla.1994.1038
36. Laszlo, S., & Federmeier, K. D. (2011). The N400 as a snapshot of interactive processing: Evidence from regression analyses of orthographic neighbor and lexical associate effects. Psychophysiology, 48, 176-186. doi:10.1111/j.1469-8986.2010.01058.x
37. Luck, S. J. (2005). An introduction to the event-related potential technique. Cambridge, MA: MIT Press.
38. Lund, K., & Burgess, C. (1996). Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, Instruments, & Computers, 28, 203-208. doi:10.3758/BF03204766 (Pubitemid 126454814)
39. Lynott, D., & Connell, L. (2009). Modality exclusivity norms for 423 object properties. Behavior Research Methods, 41, 558-564. doi: 10.3758/BRM.41.2.558
40. Mahon, B. Z., & Caramazza, A. (2009). Concepts and categories: A cognitive neuropsychological perspective. Annual Review of Psychology, 60, 27-51. doi:10.1146/annurev.psych.60.110707.163532
41. Martin, A. (2007). The representation of object concepts in the brain. Annual Review of Psychology, 58, 25-45. doi:10.1146/annurev.psych .57.102904.190143
42. Martin, A., Haxby, J. V., Lalonde, F. M., Wiggs, C. L., & Ungerleider, L. G. (1995). Discrete cortical regions associated with knowledge of color and knowledge of action. Science, 270, 102-105. doi:10.1126/science. 270.5233.102
43. McRae, K., Cree, G. S., Seidenberg, M. S., & McNorgan, C. (2005). Semantic feature production norms for a large set of living and nonliving things. Behavior Research Methods, 37, 547-559. doi:10.3758/BF03192726 (Pubitemid 43679323)
44. McRae, K., Cree, G. S., Westmacott, R., & De Sa, V. R. (1999). Further evidence for feature correlations in semantic memory. Canadian Journal of Experimental Psychology, 53, 360-373.
45. McRae, K., deSa, V. R., & Seidenberg, M. S. (1997). On the nature and scope of featural representations of word meaning. Journal of Experimental Psychology: General, 126, 99-130. doi:10.1037/0096-3445.126 .2.99 (Pubitemid 127458053)
46. O'Connor, C. M., Cree, G. S., & McRae, K. (2009). Conceptual hierarchies in a flat attractor network: Dynamics of learning and computations. Cognitive Science, 33, 665-708. doi:10.1111/j.1551-6709.2009.01024.x
47. Paivio, A. (1986). Mental representation: A dual-coding approach. New York, NY: Oxford University Press.
48. Paivio, A. (1991). Dual coding theory-retrospect and current status. Canadian Journal of Psychology/Revue Canadienne De Psychologie, 45, 255-287. doi:10.1037/h0084295
49. Paz-Caballero, D., Cuetos, F., & Dobarro, A. (2006). Electrophysiological evidence for a natural. Brain Research, 1067, 189-200. doi:10.1016/j .brainres.2005.10.046
50. Pexman, P. M., Hargreaves, I. S., Edwards, J. D., Henry, L. C., & Goodyear, B. G. (2007). The neural consequences of semantic richness-when more comes to mind, less activation is observed. Psychological Science, 18, 401-406. doi:10.1111/j.1467-9280.2007.01913.x
51. Pexman, P. M., Hargreaves, I. S., Edwards, J. D., Henry, L. C., & Goodyear, B. G. (2007). Neural correlates of concreteness in semantic categorization. Journal of Cognitive Neuroscience, 19, 1407-1419. doi: 10.1162/jocn.2007.19.8.1407 (Pubitemid 47204079)
52. 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
53. Pexman, P. M., Holyk, G. G., & Monfils, M. H. (2003). Number-offeatures effects and semantic processing. Memory & Cognition, 31, 842-855. doi:10.3758/BF03196439
54. Pexman, P. M., Lupker, S. J., & Hino, Y. (2002). The impact of feedback semantics in visual word recognition: Number-of-features effects in lexical decision and naming tasks. Psychonomic Bulletin & Review, 9, 542-549. doi:10.3758/BF03196311
55. Pilgrim, L. K., Moss, H. E., & Tyler, L. K. (2005). Semantic processing of living and nonliving concepts across the cerebral hemispheres. Brain and Language, 94, 86-93. doi:10.1016/j.bandl.2004.12.001 (Pubitemid 40718986)
56. Plaut, D. C., & Shallice, T. (1993). Deep dyslexia-a case-study of connectionist neuropsychology. Cognitive Neuropsychology, 10, 377-500. doi:10.1080/02643299308253469
57. Rabovsky, M., Sommer, W., & Rahman, R. A. (2012). The time course of semantic richness effects in visual word recognition. Frontiers in Human Neuroscience, 6, 11. doi:10.3389/fnhum.2012.00011
58. Randall, B., Moss, H. E., Rodd, J. M., Greer, M., & Tyler, L. K. (2004). Distinctiveness and correlation in conceptual structure: Behavioral and computational studies. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30, 393-406. doi:10.1037/0278-7393.30.2.393 (Pubitemid 38317883)
59. Rogers, T. T., & Patterson, K. (2007). Object categorization: Reversals and explanations of the basic-level advantage. Journal of Experimental Psychology: General, 136, 451-469. doi:10.1037/0096-3445.136.3.451
60. Rohde, D. L. T., Gonnerman, L. M., & Plaut, D. C. (2005). An improved model of semantic similarity based on lexical co-occurrence. Unpublished manuscript.
61. Sabsevitz, D. S., Medler, D. A., Seidenberg, M., & Binder, J. R. (2005). Modulation of the semantic system by word imageability. NeuroImage, 27, 188-200. doi:10.1016/j.neuroimage.2005.04.012 (Pubitemid 40966894)
62. Sartori, G., Mameli, F., Polezzi, D., & Lombardi, L. (2006). An ERP study of low and high relevance semantic features. Brain Research Bulletin, 69, 182-186. doi:10.1016/j.brainresbull.2005.11.021 (Pubitemid 43375873)
63. Schwanenflugel, P. J., & Shoben, E. J. (1983). Differential context effects in the comprehension of abstract and concrete verbal materials. Journal of Experimental Psychology: Learning, Memory, and Cognition, 9, 82-102. doi:10.1037/0278-7393.9.1.82
64. Siakaluk, P. D., Pexman, P. M., Aguilera, L., Owen, W. J., & Sears, C. R. (2008). Evidence for the activation of sensorimotor information during visual word recognition: The body-object interaction effect. Cognition, 106, 433-443. doi:10.1016/j.cognition.2006.12.011 (Pubitemid 350236118)
65. Siakaluk, P. D., Pexman, P. M., Sears, C. R., Wilson, K., Locheed, K., & Owen, W. J. (2008). The benefits of sensorimotor knowledge: Bodyobject interaction facilitates semantic processing. Cognitive Science, 32, 591-605. doi:10.1080/03640210802035399
66. Sim, E. J., & Kiefer, M. (2005). Category-related brain activity to natural categories is associated with the retrieval of visual features: Evidence from repetition effects during visual and functional judgments. Cognitive Brain Research, 24, 260-273. doi:10.1016/j.cogbrainres.2005.02.006 (Pubitemid 40922634)
67. Simmons, W. K., Ramjee, V., Beauchamp, M. S., McRae, K., Martin, A., & Barsalou, L. W. (2007). A common neural substrate for perceiving and knowing about color. Neuropsychologia, 45, 2802-2810. doi: 10.1016/j. neuropsychologia.2007.05.002 (Pubitemid 47176589)
68. Sitnikova, T., West, W. C., Kuperberg, G. R., & Holcomb, P. J. (2006). The neural organization of semantic memory: Electrophysiological activity suggests feature-based segregation. Biological Psychology, 71, 326-340. doi:10.1016/j.biopsycho.2005.07.003 (Pubitemid 43220630)
69. Strain, E., Patterson, K., & Seidenberg, M. S. (1995). Semantic effects in single-word naming. Journal of Experimental Psychology: Learning Memory and Cognition, 21, 1140-1154. doi:10.1037/0278-7393.21.5 .1140
70. Tillotson, S. M., Siakaluk, P. D., & Pexman, P. M. (2008). Body-object interaction ratings for 1,618 monosyllabic nouns. Behavior Research Methods, 40, 1075-1078. doi:10.3758/BRM.40.4.1075
71. Tyler, L. K., & Moss, H. E. (2001). Towards a distributed account of conceptual knowledge. Trends in Cognitive Sciences, 5, 244-252. (Pubitemid 32493002)
72. van Dantzig, S., Cowell, R. A., Zeelenberg, R., & Pecher, D. (2011). A sharp image or a sharp knife: Norms for the modality-exclusivity of 774 concept-property items. Behavior Research Methods, 43, 145-154. doi: 10.3758/s13428-010-0038-8
73. Vinson, D. P., Vigliocco, G., Cappa, S., & Siri, S. (2003). The breakdown of semantic knowledge: Insights from a statistical model of meaning representation. Brain and Language, 86, 347-365. doi:10.1016/S0093-934X(03) 00144-5 (Pubitemid 37102953)
74. Warrington, E. K., & Shallice, T. (1984). Category specific semantic impairments. Brain, 107, 829-854. doi:10.1093/brain/107.3.829
75. West, W. C., & Holcomb, P. J. (2000). Imaginal, semantic, and surfacelevel processing of concrete and abstract words: An electrophysiological investigation. Journal of Cognitive Neuroscience, 12, 1024-1037. doi: 10.1162/08989290051137558 (Pubitemid 32014497)
76. Wheatley, T., Weisberg, J., Beauchamp, M. S., & Martin, A. (2005). Automatic priming of semantically-related words reduces activity in the fusiform gyrus. Journal of Cognitive Neuroscience, 17, 1871-1885. doi:10.1162/ 089892905775008689
77. Wiemer-Hastings, K., & Xu, X. (2005). Content differences for abstract and concrete concepts. Cognitive Science, 29, 719-736. doi:10.1207/s15516709cog0000-33 (Pubitemid 41646132)
78. Wig, G. S., Grafton, S. T., Demos, K. E., & Kelley, W. M. (2005). Reductions in neural activity underlie behavioral components of repetition priming. Nature Neuroscience, 8, 1228-1233. doi:10.1038/nn1515 (Pubitemid 43348142)
79. Wise, R. J. S., Howard, D., Mummery, C. J., Fletcher, P., Leff, A., Buchel, C., . . . Scott, S. K. (2000). Noun imageability and the temporal lobes. Neuropsychologia, 38, 985-994. doi:10.1016/S0028-3932(99)00152-9 (Pubitemid 30204433)
80. Yap, M. J., & Balota, D. A. (2009). Visual word recognition of multisyllabic words. Journal of Memory and Language, 60, 502-529. doi: 10.1016/j.jml.2009.02.001