Skip to main content
SpringerLink
Log in

Modelling envelope and temporal fine structure components of frequency-following responses in rat inferior colliculus

  • Article
  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

In studies of auditory perception, a dichotomy between envelope and temporal fine structure (TFS) has been emphasized. It has been shown that frequency-following responses (FFRs) in the rat inferior colliculus can be divided into the envelope component (FFREnv) and the temporal fine structure component (FFRTFS). However, the existing FFR models cannot successfully separate FFREnv and FFRTFS. This study was to develop a new FFR model to effectively distinguish FFREnv from FFRTFS by both combining the advantages of the two existing FFR models and simultaneously adding cellular properties of inferior colliculus neurons. To evaluate the validity of the present model, correlations between simulated FFRs and experimental data from the rat inferior colliculus were calculated. Different model parameters were tested, FFRs were calculated, and the parameters with highest prediction were chosen to establish an ideal FFR model. The results indicate that the new FFR model can provide reliable predictions for experimentally obtained FFREnv and FFRTFS.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Moore B C J. The role of temporal fine structure processing in pitch perception, masking, and speech perception for normal-hearing and hearing-impaired people. J Assoc Res Oto, 2008, 9: 399–406

    Article  Google Scholar 

  2. Rosen S. Temporal information in speech: Acoustic, auditory and linguistic aspects. Philos Trans R Soc B-Biol Sci, 1992, 336: 367–373

    Article  Google Scholar 

  3. Smith Z M, Delgutte B, Oxenham A J. Chimaeric sounds reveal dichotomies in auditory perception. Nature, 2002, 416: 87–90

    Article  Google Scholar 

  4. Xu L, Pfingst B E. Relative importance of temporal envelope and fine structure in lexical-tone perception (L). J Acoust Soc Am, 2003, 114: 3024–3027

    Article  Google Scholar 

  5. Heinz M G, Swaminathan J. Quantifying envelope and fine-structure coding in auditory nerve responses to chimaeric speech. J Assoc Res Oto, 2009, 10: 407–423

    Article  Google Scholar 

  6. Hopkins K, Moore B C J. The effects of age and cochlear hearing loss on temporal fine structure sensitivity, frequency selectivity, and speech reception in noise. J Acoust Soc Am, 2011, 130: 334–349

    Article  Google Scholar 

  7. Strelcyk O, Dau T. Relations between frequency selectivity, temporal fine-structure processing, and speech reception in impaired hearing. J Acoust Soc Am, 2009, 125: 3328–3345

    Article  Google Scholar 

  8. Johnson D H. The relationship between spike rate and synchrony in responses of auditory-nerve fibers to single tones. J Acoust Soc Am, 1980, 68: 1115–1122

    Article  Google Scholar 

  9. Joris P X, Yin T C T. Responses to amplitude-modulated tones in the auditory nerve of the cat. J Acoust Soc Am, 1992, 91: 215–232

    Article  Google Scholar 

  10. Young E D, Sachs M B. Representation of steady-state vowels in the temporal aspects of the discharge patterns of populations of auditorynerve fibers. J Acoust Soc Am, 1979, 66: 1381–1403

    Article  Google Scholar 

  11. Kraus N, Nicol T. Brainstem origins for cortical ‘what’ and ‘where’ pathways in the auditory system. Trends Neurosci, 2005, 28: 176–181

    Article  Google Scholar 

  12. Chandrasekaran B, Kraus N. The scalp-recorded brainstem response to speech: Neural origins and plasticity. Psychophysiology, 2010, 47: 236–246

    Article  Google Scholar 

  13. Du Y, Ma T F, Wang Q, et al. Two crossed axonal projections contribute to binaural unmasking of frequency-following responses in rat inferior colliculus. Eur J Neurosci, 2009, 30: 1779–1789

    Article  Google Scholar 

  14. Du Y, Kong L Z, Wang Q, et al. Auditory frequency-following response: A neurophysiological measure for studying the “cocktailparty problem”. Neurosci Biobehav Rev, 2011, 35: 2046–2057

    Article  Google Scholar 

  15. Du Y, Wang Q, Zhang Y, et al. Perceived target-masker separation unmasks responses of lateral amygdala to the emotionally conditioned target sounds in awake rats. Neuroscience, 2012, 225: 249–257

    Article  Google Scholar 

  16. Marsh J T, Worden F G. Some factors modulating neural activities in peripheral auditory centers. Brain Res, 1969, 12: 99–111

    Article  Google Scholar 

  17. Moushegian G, Rupert A L, Stillman R D. Scalp-recorded early responses in man to frequencies in the speech range. Electroencephal Clin Neurophysiol, 1973, 35: 665–667

    Article  Google Scholar 

  18. Ping J L, Li N X, Galbraith G C, et al. Auditory frequency-following responses in rat ipsilateral inferior colliculus. NeuroReport, 2008, 19: 1377–1380

    Article  Google Scholar 

  19. Weinberger N M, Kitzes L M, Goodman D A. Some characteristics of the ‘auditory neurophonic’. Experientia, 1970, 26: 46–48

    Article  Google Scholar 

  20. Worden F G, Marsh J T. Frequency-following (microphonic-like) neural responses evoked by sound. Electroencephal Clin Neurophysiol, 1968, 25: 42–52

    Article  Google Scholar 

  21. Galbraith G C. Two-channel brain-stem frequency-following responses to pure tone and missing fundamental stimuli. Electroencephal Clin Neurophysiol, 1994, 92: 321–330

    Article  Google Scholar 

  22. Krishnan A. Human frequency-following responses: Representation of steady-state synthetic vowels. Hear Res, 2002, 166: 192–201

    Article  Google Scholar 

  23. Krishnan A, Gandour J T, Bidelman G M, et al. Experience-dependent neural representation of dynamic pitch in the brainstem. NeuroReport, 2009, 20: 408–413

    Article  Google Scholar 

  24. Russo N, Nicol T, Musacchia G, et al. Brainstem responses to speech syllables. Clin Neurophysiol, 2004, 115: 2021–2030

    Article  Google Scholar 

  25. Wang Q, Li L. Auditory midbrain representation of a break in interaural correlation. J Neurophysiol, 2015, 114: 2258–2264

    Article  Google Scholar 

  26. Aiken S J, Picton T W. Envelope following responses to natural vowels. Audiol Neurotol, 2006, 11: 213–232

    Article  Google Scholar 

  27. Dolphin W F, Mountain D C. The envelope following response: Scalp potentials elicited in the Mongolian gerbil using sinusoidally AM acoustic signals. Hear Res, 1992, 58: 70–78

    Article  Google Scholar 

  28. Hall J W. Auditory brainstem frequency following responses to waveform envelope periodicity. Science, 1979, 205: 1297–1299

    Article  Google Scholar 

  29. Shinn-Cunningham B, Ruggles D R, Bharadwaj H. How early aging and environment interact in everyday listening: From brainstem to behavior through modeling. In: Moore B, Patterson R, Winter I, et al., eds. Basic Aspects of Hearing. Advances in Experimental Medicine and Biology, vol 787. New York: Springer, 2013

    Google Scholar 

  30. Supin A Y, Popov V V. Envelope-following response and modulation transfer function in the dolphin’s auditory system. Hear Res, 1995, 92: 38–46

    Article  Google Scholar 

  31. Zhu L, Bharadwaj H, Xia J, et al. A comparison of spectral magnitude and phase-locking value analyses of the frequency-following response to complex tones. J Acoust Soc Am, 2013, 134: 384–395

    Article  Google Scholar 

  32. Bidelman G M. Multichannel recordings of the human brainstem frequency-following response: Scalp topography, source generators, and distinctions from the transient ABR. Hearing Res, 2015, 323: 68–80

    Article  Google Scholar 

  33. White-Schwoch T, Nicol T, Warrier C M, et al. Individual differences in human auditory processing: Insights from single-trial auditory midbrain activity in an animal model. Cereb Cortex, 2016

    Google Scholar 

  34. Dau T. The importance of cochlear processing for the formation of auditory brainstem and frequency following responses. J Acoust Soc Am, 2003, 113: 936–950

    Article  Google Scholar 

  35. Heinz M G, Colburn H S, Carney L H. Evaluating auditory performance limits: I. one-parameter discrimination using a computational model for the auditory nerve. Neural Comput, 2001, 13: 2273–2316

    Article  MATH  Google Scholar 

  36. Kuokkanen P T, Wagner H, Ashida G, et al. On the origin of the extracellular field potential in the nucleus laminaris of the barn owl (Tyto alba). J Neurophysiol, 2010, 104: 2274–2290

    Article  Google Scholar 

  37. Langner G, Schreiner C E, Biebel U W. Functional implications of frequency and periodicity coding in auditory midbrain. In: Palmer A R, Rees A, Summerfield A Q, et al., eds. Psychophysical and Physiological Advances in Hearing. London: Whurr Publ. Ltd., 1998. 277–285

    Google Scholar 

  38. Carney L H, Li T, McDonough J M. Speech coding in the brain: Representation of vowel formants by midbrain neurons tuned to sound fluctuations. eNeuro, 2015, 2

    Google Scholar 

  39. Paxinos G, Watson C, Carrive P, et al. Chemoarchitectonic Atlas of the Rat Brain. Atlanta: Elsevier, 2009

    Google Scholar 

  40. Longtin A, Middleton J W, Cieniak J, et al. Neural dynamics of envelope coding. Math Biosci, 2008, 214: 87–99

    Article  MathSciNet  MATH  Google Scholar 

  41. Zilany M S A, Bruce I C, Carney L H. Updated parameters and expanded simulation options for a model of the auditory periphery. J Acoust Soc Am, 2014, 135: 283–286

    Article  Google Scholar 

  42. Jackson. The SGfast Mex Function. https://www.urmc.rochester.edu/MediaLibraries/URMCMedia/labs/carney-lab/documents/articles/Jackson-SGfast-2003.pdf, 2003

  43. Goldstein Jr. M H, Kiang N Y S. Synchrony of neural activity in electric responses evoked by transient acoustic stimuli. J Acoust Soc Am, 1958, 30: 107–114

    Article  Google Scholar 

  44. Dau T, Wegner O, Mellert V, et al. Auditory brainstem responses with optimized chirp signals compensating basilar-membrane dispersion. J Acoustical Soc Am, 2000, 107: 1530–1540

    Article  Google Scholar 

  45. Gold C, Henze D A, Koch C, et al. On the origin of the extracellular action potential waveform: a modeling study. J Neurophysiol, 2006, 95: 3113–3128

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China

    Qian Wang & Liang Li

  2. Beijing Key Laboratory of Epilepsy, Epilepsy Center, Department of Functional Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, 100093, China

    Qian Wang

  3. Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing, 100871, China

    Liang Li

  4. Beijing Institute for Brain Disorders, Beijing, 100081, China

    Liang Li

Authors
  1. Qian Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Liang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Liang Li.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Q., Li, L. Modelling envelope and temporal fine structure components of frequency-following responses in rat inferior colliculus. Sci. China Technol. Sci. 60, 966–973 (2017). https://doi.org/10.1007/s11431-016-9044-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-016-9044-5

Keywords

Search

Navigation