Temporal Integration of the Brain as Studied with the Metronome Paradigm

  • Elzbieta Szelag

Abstract

It is well known that our subjective experience of the passage of time is influenced by what we are doing. More than 70 years ago, Axel (1925) theorized that the level of behavioral activity determines the experience of time. The subjective flow of time is influenced by the amount of information processed or by the mental content. It is commonly believed that time appears to pass rapidly if one is engaged in a higher order of behavioral activity. In contrast, a low level of behavioral activity results in the impression that time is dragging. Retrospectively, this impression may be turned around; a rapid passage of time leads to a long subjective duration, a slow passage of time to a short subjective duration. Considerable support for such observations comes from experimental studies on reproduction of temporal intervals (Fraisse 1984). Although several experimental studies have investigated the effect of the information content of presented stimuli on the reproduction of time intervals, the influence of such a content on presemantic temporal integration (PTI) has not been studied before (e.g., Pöppel 1994 and this volume; Ruhnau 1995). To gain better insight into mechanisms underlying PTI, we report here some observations concerning the integration of temporal information contained in continuous beats of a metronome.

Keywords

Stim Dyslexia 

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References

  1. Axel R. (1925): Estimation of time. Arch. Psychol. 12, 5–77.Google Scholar
  2. Efron R. (1990): The Decline and Fall of Hemispheric Specialization (Lawrence Erlbaum, Hillsdale).Google Scholar
  3. Ellis R.J., Oscar-Berman M. (1984): Effects of aging and alcoholism on recognition of dichhaptically presented stimuli. Int. Neuropsychol. Soc. Bull. 13, 14.Google Scholar
  4. Fraisse P. (1984): Perception and estimation of time. Ann. Rev. Psychol. 35, 1–36.CrossRefGoogle Scholar
  5. Goldstein G., Schelly C. (1981): Does the right hemisphere age more rapidly than the left? J. Clin. Neuropsychol. 3, 65–78CrossRefGoogle Scholar
  6. Hellige J. (1993): Hemispheric Asymmetry: What’s Right and What’s Left (Harvard University Press, Cambridge).Google Scholar
  7. Huff F.J. (1990): Language in normal aging and age-related neurological diseases. In Handbook of Neuropsychology, Vol. 4, ed. by S. Corkin (Elsevier, Amsterdam), 169–196.Google Scholar
  8. Huppert F. (1991): Age-related changes in memory: learning and remembering new information. In Handbook of Neuropsychology, Vol. 5 ed. by J.G. Geffman, F. Boiler (Elsevier, Amsterdam), 123–147.Google Scholar
  9. Linn M., Peterson A. (1985): Emergence and characterization of sex differences in spatial ability. Child Dev. 56, 1479–1498.CrossRefGoogle Scholar
  10. Mittenberg W.H., Seidenberg M., O’Leary D.S., DiGiulio D.V. (1989): Changes in cerebral functioning associated with normal aging. J. Clin. Exp. Neuropsychol. 11, 918–932.CrossRefGoogle Scholar
  11. Nichelli P. (1993): The neuropsychology of human temporal information processing. In Handbook of Neuropsychology, Vol. 8 (Elsevier, Amsterdam), 337–369.Google Scholar
  12. Obler L.K., Woodward S., Albert M.S. (1984): Changes in cerebral lateralization with aging? Neuropsychologia 22, 235–240.CrossRefGoogle Scholar
  13. Pöppel E. (1978): Time perception. In Handbook of Sensory Physiology, Vol. 8: Perception (Springer, Berlin), 713–729.Google Scholar
  14. Pöppel E. (1988): Mindworks: Time and Conscious Experience (Harcourt Brace Jovanovich, Boston).Google Scholar
  15. Pöppel E. (1994): Temporal mechanisms in perception. Int. J. Neurobiol. 37, 185–202.CrossRefGoogle Scholar
  16. Pöppel E., Chen L., Glünder H., Mitzdorf U., Ruhnau E., Schill K., and von Steinbüchel N. (1991): Temporal and spatial constraints for mental modelling. In Frontiers in Knowledge-Based Computing, ed. by V.P. Bhatkar and K. Rege (Narosa Publishing House, New Delhi), 57–68.Google Scholar
  17. Ruhnau E. (1995): Time gestalt and the observer. In Conscious Experience, ed. by T. Metzinger (Imprint Academic, Thorverton), 165–184.Google Scholar
  18. Schaie K.W. (1983) The Seattle longitudinal study: a 21-year exploration of psychometric intelligence in adulthood. In Longitudinal Studies of Adult Psychological Development, ed. by K.W. Schaie (Guilford, New York), 64–135.Google Scholar
  19. Schaie K.W. and Schaie J.P. (1977): Clinical assessment of aging. In Handbook of the Psychology of Aging, ed. by J.E. Birren and K.W. Schaie (Van Nostrand-Reinhold, New York), 692–723.Google Scholar
  20. Shapiro K.L., Ogden N., and Lind-Blad F. (1990): Temporal processing in dyslexia. J. Learn. Disord. 23, 99–107.CrossRefGoogle Scholar
  21. Szelag E., von Steinbüchel N., Reiser M., Gilles de Langen E., and Pöppel E. (1996): Temporal constraints in processing of nonverbal rhythmic patterns. Acta Neurobiol. Exp. 56, 215–225.Google Scholar
  22. Tallal P., Stark R., and Mellitis D. (1985): The relationship between auditory analysis and receptive language development: evidence from studies of developmental language disorder. Neuropsychologia 23, 527–534.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Elzbieta Szelag
    • 1
  1. 1.Department of NeurophysiologyNencki Institute of Experimental BiologyWarsawPoland

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