Literature DB >> 14527587

Spectrotemporal features of the auditory cortex: the activation in response to dynamic ripples.

Dave R M Langers1, Walter H Backes, Pim van Dijk.   

Abstract

Functional MRI was used to investigate the characteristics of the human cerebral response to dynamic ripples. Dynamic ripples are sound stimuli containing regular spectrotemporal modulations, which are of major importance in speech processing; however, in contrast to speech, dynamic ripples can be characterized fully by a limited number of parameters. Extensive activation consisting of multiple separate regions was found bilaterally in the auditory cortex, particularly along the Heschl's gyri. This agrees with the presence of a structural cortical subdivision into functional fields. The level and the extent of activation were measured and correlated highly (R(2) = 0.97). Both measures depended strongly on the spectral density, temporal frequency, and amplitude of the modulations and matched the perceptual discernibility of the spectrotemporal modulations. The largest responses occurred for parameter values near the optimal human sensitivity. The drift direction of the modulations did not influence the activation. No quantitative differences were found between the two hemispheres. Average brain activation levels proved to be separable with regard to the spectral density and temporal frequency of the modulations. Topographic mappings of the modulation density and frequency onto the cortical surface were shown, approximately in posterolateral-to-anteromedial and lateral-to-medial directions, respectively. Posterolateral regions were most sensitive to spectrotemporal features at a scale similar to phonemes. Anteromedial regions, however, were also relatively sensitive to smaller scale acoustic features. This spatially dependent sensitivity suggests a functional topographic and hierarchical organization of the auditory cortex.

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Year:  2003        PMID: 14527587     DOI: 10.1016/s1053-8119(03)00258-1

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  23 in total

1.  An application of univariate and multivariate approaches in FMRI to quantifying the hemispheric lateralization of acoustic and linguistic processes.

Authors:  Carolyn McGettigan; Samuel Evans; Stuart Rosen; Zarinah K Agnew; Poonam Shah; Sophie K Scott
Journal:  J Cogn Neurosci       Date:  2011-11-08       Impact factor: 3.225

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

Authors:  Marc Schönwiesner; Robert J Zatorre
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-10       Impact factor: 11.205

3.  Auditory "bubbles": Efficient classification of the spectrotemporal modulations essential for speech intelligibility.

Authors:  Jonathan H Venezia; Gregory Hickok; Virginia M Richards
Journal:  J Acoust Soc Am       Date:  2016-08       Impact factor: 1.840

4.  Perceptual learning of auditory spectral modulation detection.

Authors:  Andrew T Sabin; David A Eddins; Beverly A Wright
Journal:  Exp Brain Res       Date:  2012-03-15       Impact factor: 1.972

5.  Detection and identification of speech sounds using cortical activity patterns.

Authors:  T M Centanni; A M Sloan; A C Reed; C T Engineer; R L Rennaker; M P Kilgard
Journal:  Neuroscience       Date:  2013-11-26       Impact factor: 3.590

6.  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

7.  Functional localization of the auditory thalamus in individual human subjects.

Authors:  Fang Jiang; G Christopher Stecker; Ione Fine
Journal:  Neuroimage       Date:  2013-04-18       Impact factor: 6.556

Review 8.  Syllabic (∼2-5 Hz) and fluctuation (∼1-10 Hz) ranges in speech and auditory processing.

Authors:  Erik Edwards; Edward F Chang
Journal:  Hear Res       Date:  2013-09-12       Impact factor: 3.208

9.  Perceptual learning evidence for tuning to spectrotemporal modulation in the human auditory system.

Authors:  Andrew T Sabin; David A Eddins; Beverly A Wright
Journal:  J Neurosci       Date:  2012-05-09       Impact factor: 6.167

10.  Functional Topography of Human Auditory Cortex.

Authors:  Amber M Leaver; Josef P Rauschecker
Journal:  J Neurosci       Date:  2016-01-27       Impact factor: 6.167

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