Concurrent encoding of frequency and amplitude modulation in human auditory cortex: Encoding transition

Huan Luo, Yadong Wang, David Poeppel, Jonathan Z. Simon

Research output: Contribution to journalArticlepeer-review


Complex natural sounds (e.g., animal vocalizations or speech) can be characterized by specific spectrotemporal patterns the components of which change in both frequency (FM) and amplitude (AM). The neural coding of AM and FM has been widely studied in humans and animals but typically with either pure AM or pure FM stimuli. The neural mechanisms employed to perceptually unify AM and FM acoustic features remain unclear. Using stimuli with simultaneous sinusoidal AM (at rate fAM = 37 Hz) and FM (with varying rates fFM), magnetoencephalography (MEG) is used to investigate the elicited auditory steady-state response (aSSR) at relevant frequencies (fAM, f FM, fAM + fFM). Previous work demonstrated that for sounds with slower FM dynamics (fFM < 5 Hz), the phase of the aSSR at fAM tracked the FM; in other words, AM and FM features were co-tracked and co-represented by "phase modulation" encoding. This study explores the neural coding mechanism for stimuli with faster FM dynamics (≤30 Hz), demonstrating that at faster rates (fFM > 5 Hz), there is a transition from pure phase modulation encoding to a single-upper-sideband (SSB) response (at frequency fAM + f FM) pattern. We propose that this unexpected SSB response can be explained by the additional involvement of subsidiary AM encoding responses simultaneously to, and in quadrature with, the ongoing phase modulation. These results, using MEG to reveal a possible neural encoding of specific acoustic properties, demonstrate more generally that physiological tests of encoding hypotheses can be performed noninvasively on human subjects, complementing invasive, single-unit recordings in animals.

Original languageEnglish (US)
Pages (from-to)3473-3485
Number of pages13
JournalJournal of neurophysiology
Issue number6
StatePublished - Dec 2007

ASJC Scopus subject areas

  • General Neuroscience
  • Physiology


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