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Temporal patterns of human cortical activity reflect tone sequence structure

Abstract

Despite growing interest in temporal aspects of auditory neural processing1,2, little is known about large-scale timing patterns of brain activity during the perception of auditory sequences3. This is partly because it has not been possible to distinguish stimulus-related activity from other, endogenous brain signals recorded by electrical or magnetic sensors. Here we use amplitude modulation of unfamiliar, 1-minute-long tone sequences to label stimulus-related magnetoencephalographic neural activity in human subjects4,5,6,7,8,9. We show that temporal patterns of activity recorded over particular brain regions track the pitch contour of tone sequences, with the accuracy of tracking increasing as tone sequences become more predictable in structure. In contrast, temporal synchronization between recording locations, particularly between sites over the left posterior hemisphere and the rest of the brain, is greatest when sequences have melody-like statistical properties10,11, which may reflect the perceptual integration of local and global pitch patterns in melody-like sequences12. This method is particularly well suited to studying temporal neural correlates of complex auditory sequences (such as speech or music) which engage multiple brain areas as perception unfolds in time.

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Figure 1: Phase tracking of tone sequences by the human brain.
Figure 2: Topographic distribution of sensor locations.
Figure 3: Changes in brain interactions among the four stimulus conditions.

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References

  1. Cariani, P. A. & Delgutte,, B. Neural correlates of the pitch of complex tones. I. Pitch and pitch salience. J. Neurophysiol. 76, 1698–1716 ( 1996).

    Article  CAS  Google Scholar 

  2. deCharms, R. C. & Merzenich, M. Primary cortical representation of sounds by the coordination of action potential timing. Nature 381, 610–613 ( 1996).

    Article  ADS  CAS  Google Scholar 

  3. Petsche, H., Richter,, P., von Stein, A., Etlinger, S. & Filz, O. EEG coherence and musical thinking. Music Percept. 11, 117– 152 (1993).

    Article  Google Scholar 

  4. Galambos, R., Makeig, S. & Talmachoff, P. J. A 40-Hz auditory potential recorded from the human scalp. Proc. Natl Acad. Sci. USA 78, 2463 –2647 (1981).

    Article  Google Scholar 

  5. Romani, G. L., Williamson, S. J. & Kaufman, L. Tonotopic organization of the human auditory cortex. Science 216, 1339–1340 (1982).

    Article  ADS  CAS  Google Scholar 

  6. Pantev, C. et al. Relationship of transient and steady-state auditory evoked fields. Electroenceph. Clin. Neurophysiol. 88, 389–396 (1993).

    Article  CAS  Google Scholar 

  7. Hari, R. Hämäläinen, M. & Joutsiniemi,, S. -L. Neuromagnetic steady-state responses to auditory stimuli. J. Acoust. Soc. Am. 86, 1033–1039 ( 1989).

    Article  ADS  Google Scholar 

  8. Gutschalk, A. et al. Deconvolution of 40 Hz steady-state fields reveals two overlapping source activities of the human auditory cortex. Clin. Neurophysiol. 110, 856–868 ( 1999).

    Article  CAS  Google Scholar 

  9. Makeig, S., Jung, T-P., Bell, A. J., Ghahremani, D. & Sejnowski, T. J. Blind separation of auditory event-related brain responses into independent components. Proc. Natl Acad. Sci. USA 94, 10979–10984 ( 1997).

    Article  ADS  CAS  Google Scholar 

  10. Nettheim, N. On the spectral analysis of melody. Interface 21, 135–148 (1992).

    Article  Google Scholar 

  11. Boon, J. P. & Decroly, O. Dynamical systems theory for music dynamics. Chaos 5, 501– 508 (1995).

    Article  ADS  Google Scholar 

  12. Liégeois-Chauvel, C., Peretz, I., Babaı ¨, M., Laguitton, V. & Chauvel, P. Contribution of different cortical areas in the temporal lobes to music processing. Brain 121, 1853–1867 (1998).

    Article  Google Scholar 

  13. Schmuckler, M. A. & Gilden., D. L. Auditory perception of fractal contours. J. Exp. Psychol.: Hum. Percept. Perform. 19, 641–660 (1993).

    CAS  Google Scholar 

  14. Voss, R. F. & Clarke, J. ‘1/f noise’ in music and speech. Nature 258, 317– 318 (1975).

    Article  ADS  Google Scholar 

  15. Voss, R. F. & Clarke, J. ‘1/f noise’ in music: music from 1/f noise. J. Acoust. Soc. Am. 63, 258–263 (1978).

    Article  ADS  Google Scholar 

  16. Siegel, S. & Castellan, N. J. Jr Nonparametric Statistics for the Behavioral Sciences (McGraw Hill, New York, 1988).

    Google Scholar 

  17. Greenberg, S., Poeppel, D. & Roberts,, T. in Psychophysical and Physiological Advances in Hearing (eds Palmer, A., Summerfield, Q., Rees, A. & Meddis, R.) 293–300 (Whurr, London, 1998).

    Google Scholar 

  18. Srinivasan, R., Russell, P., Edelman, G. & Tononi, G. Increased synchronization of neuromagnetic responses during conscious perception. J. Neurosci. 19, 5435–5448 ( 1999).

    Article  CAS  Google Scholar 

  19. Zatorre, R. J., Evans, A. C. & Meyer, E. Neural mechanisms underlying melodic perception and memory for pitch. J. Neurosci. 14, 1908– 1919 (1994).

    Article  CAS  Google Scholar 

  20. Patel, A. D., Peretz, I., Tramo, M. & Labrecque, R. Processing prosodic and musical patterns: a neuropsychological investigation. Brain Lang. 61, 123–144 ( 1998).

    Article  CAS  Google Scholar 

  21. Pantev, C., Roberts, L. E., Elbert, T., Roβ, B. & Wienbruch, C. Tonotopic organization of the sources of human auditory steady-state responses. Hearing Res. 101, 62–74 ( 1996).

    Article  CAS  Google Scholar 

  22. Ribary, U. et al. Magnetic field tomography of coherent thalamocortical 40-Hz oscillations in humans. Proc. Natl Acad. Sci. USA 88 , 11037–11041 (1991).

    Article  ADS  CAS  Google Scholar 

  23. Bendat, J. S. & Piersol, A. G. Engineering Applications of Correlation and Spectral Analysis (Wiley, New York, 1993).

    MATH  Google Scholar 

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Acknowledgements

We thank L. Kurelowech for technical assistance, R. Srinivasan for advice and discussions, and S. Makeig, M. Kutas, T. Urbach and S. Hillyard for suggestions. This research was supported by the Neurosciences Research Foundation as part of its research program on Music and the Brain at The Neurosciences Institute.

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Correspondence to Aniruddh D. Patel or Evan Balaban.

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Patel, A., Balaban, E. Temporal patterns of human cortical activity reflect tone sequence structure . Nature 404, 80–84 (2000). https://doi.org/10.1038/35003577

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