Literature DB >> 17898148

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

Huan Luo1, Yadong Wang, David Poeppel, Jonathan Z Simon.   

Abstract

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 f(AM) = 37 Hz) and FM (with varying rates f(FM)), magnetoencephalography (MEG) is used to investigate the elicited auditory steady-state response (aSSR) at relevant frequencies (f(AM), f(FM), f(AM) + f(FM)). Previous work demonstrated that for sounds with slower FM dynamics (f(FM) < 5 Hz), the phase of the aSSR at f(AM) 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 (< or =30 Hz), demonstrating that at faster rates (f(FM) > 5 Hz), there is a transition from pure phase modulation encoding to a single-upper-sideband (SSB) response (at frequency f(AM) + 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.

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Year:  2007        PMID: 17898148     DOI: 10.1152/jn.00342.2007

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  8 in total

1.  FM-selective networks in human auditory cortex revealed using fMRI and multivariate pattern classification.

Authors:  I-Hui Hsieh; Paul Fillmore; Feng Rong; Gregory Hickok; Kourosh Saberi
Journal:  J Cogn Neurosci       Date:  2012-05-29       Impact factor: 3.225

2.  Neural representations of complex temporal modulations in the human auditory cortex.

Authors:  Nai Ding; Jonathan Z Simon
Journal:  J Neurophysiol       Date:  2009-08-19       Impact factor: 2.714

3.  Vocoder Simulations Explain Complex Pitch Perception Limitations Experienced by Cochlear Implant Users.

Authors:  Anahita H Mehta; Andrew J Oxenham
Journal:  J Assoc Res Otolaryngol       Date:  2017-07-21

Review 4.  Speech rhythms and their neural foundations.

Authors:  David Poeppel; M Florencia Assaneo
Journal:  Nat Rev Neurosci       Date:  2020-05-06       Impact factor: 34.870

5.  Detection of sinusoidal amplitude modulation in logarithmic frequency sweeps across wide regions of the spectrum.

Authors:  I-Hui Hsieh; Kourosh Saberi
Journal:  Hear Res       Date:  2010-02-06       Impact factor: 3.208

6.  Neuronal oscillations and speech perception: critical-band temporal envelopes are the essence.

Authors:  Oded Ghitza; Anne-Lise Giraud; David Poeppel
Journal:  Front Hum Neurosci       Date:  2013-01-04       Impact factor: 3.169

7.  Amplitude and frequency modulation of subthalamic beta oscillations jointly encode the dopaminergic state in Parkinson's disease.

Authors:  Alberto Averna; Sara Marceglia; Alberto Priori; Guglielmo Foffani
Journal:  NPJ Parkinsons Dis       Date:  2022-10-14

8.  Low-Frequency Spike-Field Coherence Is a Fingerprint of Periodicity Coding in the Auditory Cortex.

Authors:  Francisco García-Rosales; Lisa M Martin; M Jerome Beetz; Yuranny Cabral-Calderin; Manfred Kössl; Julio C Hechavarria
Journal:  iScience       Date:  2018-10-16
  8 in total

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