Skip to main content
Log in

Two semantic systems in the brain for rapid and slow differentiation of abstract and concrete words

  • Published:
Neuroscience and Behavioral Physiology Aims and scope Submit manuscript

Abstract

Most studies of semantic processing address changes in the late (300–800 msec) components of evoked potentials. However, recent years have seen the appearance of data showing that humans can perceive the sense of stimuli presented to them in significantly shorter periods of time. We report here studies of the mechanism of semantic analysis of written abstract and concrete words in four series of experiments: 1) reading of words on a monitor screen; 2) simple classification of all presented words into the categories “abstract” and “concrete;” 3) complex, i.e., selective classification of words written only in a specified color with a prompt as to which color would be used for the word; 4) complex classification of words of only a specified color without a prior prompt. Early (40–100 msec) differences in evoked brain potentials were seen on comparison of responses to abstract and concrete words, predominantly in the frontal areas in the case of simple reading of words and in the more dorsal areas in the case of tasks with simple classification. All cases of explicit classification of words were characterized by differences in late (450–700 msec) components in the left frontal zone. The results indicate the existence of two semantic systems: a rapid, implicit system associated with activation of the right frontal area, and a slow, explicit system of word classification which is predominantly associated with activity in the left frontal area. The relationship between the two systems is to a certain extent reciprocal: the rapid system can by inhibited by introduction of a word classification task.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. J. R. Binder, C. F. Westbury, K. A. McKiernan, E. T. Possing, and D. A. Medler, “Distinct brain systems for processing concrete and abstract concepts,” J. Cogn. Neurosci., 17, 1–13 (2005).

    Article  Google Scholar 

  2. S. Bookheimer, “Functional MRI of language: new approaches to understanding the cortical organization of semantic processing,” Ann. Rev. Neurosci., 25, 151–188 (2002).

    Article  PubMed  CAS  Google Scholar 

  3. P. A. Carpenter and M. Daneman, “Lexical retrieval and error recovery in reading: a model based on eye fixations,” J. Verb. Learn. Verb. Behav., 20, 137–164 (1981).

    Article  Google Scholar 

  4. M. Daneman and E. Reingold, “What eye fixations tell us about phonological recoding during reading,” Can. J. Exptl. Psychol., 47, 153–178 (1993).

    Article  CAS  Google Scholar 

  5. A. D. Friederici, “Event-related brain potential studies in language,” Curr. Neurol. Neurosci. Rep., 4, 466–470 (2004).

    Article  PubMed  Google Scholar 

  6. P. J. Holcomb, J. Kounious, J. E. Anderson, and W. C. West, “Dual-coding, context-availability, and concreteness effects in sentence comprehension: an electrophysiological investigation,” J. Exptl. Psychol. Learn. Mem. Cogn., 25, 721–742 (1999).

    Article  CAS  Google Scholar 

  7. A. M. Ivanitsky, A. R. Nicolaev, and G. A. Ivanitsky, “Cortical connectivity during word association search,” Int. J. Psychophysiol., 42, 35–53 (2001).

    Article  PubMed  CAS  Google Scholar 

  8. F. Jessen, R. Heun, M. Erb, D. Granath, U. Klose, A. Papassotiropoulos, and W. Grodd, “The concreteness effect: evidence for dual coding and context availability theory,” Brain Lang., 74, 103–112 (2000).

    Article  PubMed  CAS  Google Scholar 

  9. T. Koenig, K. Kochi, and D. Lehmann, “Event-related electric microstates of the brain differ between words with visual and abstract meaning,” EEG Clin. Neurophysiol., 106, 535–546 (1998).

    Article  CAS  Google Scholar 

  10. T. Koenig and D. Lehmann, “Microstates in language-related brain potential maps show noun-verb differences,” Brain Lang., 53, 169–182 (1996).

    Article  PubMed  CAS  Google Scholar 

  11. M. Martin-Loeches, J. Hinojosa, C. Fernandez-Frias, and F. Rubia, “Functional differences in the semantic processing of concrete and abstract words,” Neuropsychologia, 39, 1086–1096 (2001).

    Article  PubMed  CAS  Google Scholar 

  12. C. M. Michel, M. Seeck, and M. M. Murray, “The speed of visual cognition,” Adv. Clin. Neurophysiol., 57, 613–623 (2004).

    Google Scholar 

  13. A. R. Nicolaev, G. A. Ivanitsky, and A. M. Ivanitsky, “Studies of cortical interactions over short periods of time during the search for verbal associations,” Neurosci. Behav. Physiol., 31, 119–132 (2001).

    Article  Google Scholar 

  14. H. Nottono, M. Suehiro, and T. Mori, “Word imageability and N400 in an incidental memory paradigm,” Int. J. Psychophysiol., 44, 219–229 (2002).

    Article  Google Scholar 

  15. S. Ortigue, C. M. Michem. M. M. Murray, C. Mohr, S. Carbonnel, and T. Landis, “Electrical neuroimaging reveals early generator modulation to emotional words,” Neuroimage, 21, 1242–1251 (2004).

    Article  PubMed  Google Scholar 

  16. A. Paivio, Imagery and Verbal Processes, Holt, Rinehart, and Winston (eds.), New York (1971).

  17. F. Pulvermuller, R. Assadollahi, and T. Elbert, “Neuromagnetic evidence for early semantic access in word recognition,” Eur. J. Neurosci., 13, 201–205 (2001).

    Article  PubMed  CAS  Google Scholar 

  18. G. S. Rubin and K. Turano, “Reading without saccadic eye movements,” Vision Res., 32, 895–902 (1992).

    Article  PubMed  CAS  Google Scholar 

  19. M. Ruz, E. Madrid, J. Lupianez, and P. Tudela, “High density ERP indices of conscious and unconscious semantic priming,” Cogn. Brain Res., 17, 719–731 (2003).

    Article  Google Scholar 

  20. P. J. Schwanenflugel, C. Lakin, and W.-M. Luh, “Context availability and the recall of abstract and concrete words,” Mem. Cognit., 20, 96–104 (1992).

    PubMed  CAS  Google Scholar 

  21. S. C. Sereno and K. Rayner, “Measuring word recognition in reading: eye movements and event-related potentials,” Trends Cogn. Sci., 7, 489–493 (2003).

    Article  PubMed  Google Scholar 

  22. L. Silvert, S. Delplanque, H. Bouwalerh, C. Verpoort, and H. Sequeira, “Autonomic responding to aversive words without conscious valence discrimination,” Int. J. Psychophysiol., 53, 135–145 (2004).

    Article  PubMed  Google Scholar 

  23. W. Skrandies, “Evoked potential correlates of semantic meaning — a brain mapping study,” Cogn. Brain Res., 6, 173–183 (1998).

    Article  CAS  Google Scholar 

  24. W. C. West and P. J. Holcomb, “Imaginal, semantic, and surface-level processing of concrete and abstract words: an electrophysiological investigation,” J. Cogn. Neurosci., 12, 1024–1037 (2000).

    Article  PubMed  CAS  Google Scholar 

  25. M. S. Worden and J. J. Foxe, “The dynamics of the spread of selective visual attention,” Proc. Natl. Acad. Sci. USA, 100, 11933–11935 (2003).

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to I. R. Il’yuchenok.

Additional information

__________

Translated from Zhurnal Vysshei Nervnoi Deyatel'nosti imeni I. P. Pavlova, Vol. 57, No. 5, pp. 566–575, September–October, 2007.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Il’yuchenok, I.R., Sysoeva, O.V. & Ivanitskii, A.M. Two semantic systems in the brain for rapid and slow differentiation of abstract and concrete words. Neurosci Behav Physi 38, 963–970 (2008). https://doi.org/10.1007/s11055-008-9083-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11055-008-9083-5

Key Words

Navigation