Literature DB >> 19667199

Spectro-temporal modulation transfer function of single voxels in the human auditory cortex measured with high-resolution fMRI.

Marc Schönwiesner1, Robert J Zatorre.   

Abstract

Are visual and auditory stimuli processed by similar mechanisms in the human cerebral cortex? Images can be thought of as light energy modulations over two spatial dimensions, and low-level visual areas analyze images by decomposition into spatial frequencies. Similarly, sounds are energy modulations over time and frequency, and they can be identified and discriminated by the content of such modulations. An obvious question is therefore whether human auditory areas, in direct analogy to visual areas, represent the spectro-temporal modulation content of acoustic stimuli. To answer this question, we measured spectro-temporal modulation transfer functions of single voxels in the human auditory cortex with functional magnetic resonance imaging. We presented dynamic ripples, complex broadband stimuli with a drifting sinusoidal spectral envelope. Dynamic ripples are the auditory equivalent of the gratings often used in studies of the visual system. We demonstrate selective tuning to combined spectro-temporal modulations in the primary and secondary auditory cortex. We describe several types of modulation transfer functions, extracting different spectro-temporal features, with a high degree of interaction between spectral and temporal parameters. The overall low-pass modulation rate preference of the cortex matches the modulation content of natural sounds. These results demonstrate that combined spectro-temporal modulations are represented in the human auditory cortex, and suggest that complex signals are decomposed and processed according to their modulation content, the same transformation used by the visual system.

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Year:  2009        PMID: 19667199      PMCID: PMC2732853          DOI: 10.1073/pnas.0907682106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  63 in total

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Authors:  K J Worsley; C H Liao; J Aston; V Petre; G H Duncan; F Morales; A C Evans
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2.  Natural signal statistics and sensory gain control.

Authors:  O Schwartz; E P Simoncelli
Journal:  Nat Neurosci       Date:  2001-08       Impact factor: 24.884

3.  Neurophysiological investigation of the basis of the fMRI signal.

Authors:  N K Logothetis; J Pauls; M Augath; T Trinath; A Oeltermann
Journal:  Nature       Date:  2001-07-12       Impact factor: 49.962

4.  Modular organization of intrinsic connections associated with spectral tuning in cat auditory cortex.

Authors:  H L Read; J A Winer; C E Schreiner
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-03       Impact factor: 11.205

5.  Spectral and temporal processing in human auditory cortex.

Authors:  Deborah A Hall; Ingrid S Johnsrude; Mark P Haggard; Alan R Palmer; Michael A Akeroyd; A Quentin Summerfield
Journal:  Cereb Cortex       Date:  2002-02       Impact factor: 5.357

6.  Spectral and temporal processing in human auditory cortex.

Authors:  R J Zatorre; P Belin
Journal:  Cereb Cortex       Date:  2001-10       Impact factor: 5.357

7.  Responses of striate cortex cells to grating and checkerboard patterns.

Authors:  K K De Valois; R L De Valois; E W Yund
Journal:  J Physiol       Date:  1979-06       Impact factor: 5.182

8.  Relations between the statistics of natural images and the response properties of cortical cells.

Authors:  D J Field
Journal:  J Opt Soc Am A       Date:  1987-12       Impact factor: 2.129

9.  Feature analysis of natural sounds in the songbird auditory forebrain.

Authors:  K Sen; F E Theunissen; A J Doupe
Journal:  J Neurophysiol       Date:  2001-09       Impact factor: 2.714

10.  Steady-state evoked responses to sinusoidally amplitude-modulated sounds recorded in man.

Authors:  A Rees; G G Green; R H Kay
Journal:  Hear Res       Date:  1986       Impact factor: 3.208

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  80 in total

1.  Channel selection in the modulation domain for improved speech intelligibility in noise.

Authors:  Kamil K Wójcicki; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2012-04       Impact factor: 1.840

2.  Sensitivity to temporal modulation rate and spectral bandwidth in the human auditory system: MEG evidence.

Authors:  Yadong Wang; Nai Ding; Nayef Ahmar; Juanjuan Xiang; David Poeppel; Jonathan Z Simon
Journal:  J Neurophysiol       Date:  2011-10-05       Impact factor: 2.714

3.  Neural coding of continuous speech in auditory cortex during monaural and dichotic listening.

Authors:  Nai Ding; Jonathan Z Simon
Journal:  J Neurophysiol       Date:  2011-10-05       Impact factor: 2.714

4.  Distinct Cortical Pathways for Music and Speech Revealed by Hypothesis-Free Voxel Decomposition.

Authors:  Nancy G Kanwisher; Josh H McDermott; Sam Norman-Haignere
Journal:  Neuron       Date:  2015-12-16       Impact factor: 17.173

5.  Neural responses to natural and model-matched stimuli reveal distinct computations in primary and nonprimary auditory cortex.

Authors:  Sam V Norman-Haignere; Josh H McDermott
Journal:  PLoS Biol       Date:  2018-12-03       Impact factor: 8.029

Review 6.  Neural Noise Hypothesis of Developmental Dyslexia.

Authors:  Roeland Hancock; Kenneth R Pugh; Fumiko Hoeft
Journal:  Trends Cogn Sci       Date:  2017-04-08       Impact factor: 20.229

7.  Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns.

Authors:  Roberta Santoro; Michelle Moerel; Federico De Martino; Giancarlo Valente; Kamil Ugurbil; Essa Yacoub; Elia Formisano
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-18       Impact factor: 11.205

8.  Enhanced attentional gain as a mechanism for generalized perceptual learning in human visual cortex.

Authors:  Anna Byers; John T Serences
Journal:  J Neurophysiol       Date:  2014-06-11       Impact factor: 2.714

9.  Auditory categories with separable decision boundaries are learned faster with full feedback than with minimal feedback.

Authors:  Han Gyol Yi; Bharath Chandrasekaran
Journal:  J Acoust Soc Am       Date:  2016-08       Impact factor: 1.840

10.  The role of age and executive function in auditory category learning.

Authors:  Rachel Reetzke; W Todd Maddox; Bharath Chandrasekaran
Journal:  J Exp Child Psychol       Date:  2015-10-22
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