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Representations of pitch and slow modulation in auditory cortex

Overview of attention for article published in Frontiers in Systems Neuroscience, January 2013
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Title
Representations of pitch and slow modulation in auditory cortex
Published in
Frontiers in Systems Neuroscience, January 2013
DOI 10.3389/fnsys.2013.00062
Pubmed ID
Authors

Daphne Barker, Christopher J. Plack, Deborah A. Hall

Abstract

Iterated ripple noise (IRN) is a type of pitch-evoking stimulus that is commonly used in neuroimaging studies of pitch processing. When contrasted with a spectrally matched Gaussian noise, it is known to produce a consistent response in a region of auditory cortex that includes an area antero-lateral to the primary auditory fields (lateral Heschl's gyrus). The IRN-related response has often been attributed to pitch, although recent evidence suggests that it is more likely driven by slowly varying spectro-temporal modulations not related to pitch. The present functional magnetic resonance imaging (fMRI) study showed that both pitch-related temporal regularity and slow modulations elicited a significantly greater response than a baseline Gaussian noise in an area that has been pre-defined as pitch-responsive. The region was sensitive to both pitch salience and slow modulation salience. The responses to pitch and spectro-temporal modulations interacted in a saturating manner, suggesting that there may be an overlap in the populations of neurons coding these features. However, the interaction may have been influenced by the fact that the two pitch stimuli used (IRN and unresolved harmonic complexes) differed in terms of pitch salience. Finally, the results support previous findings suggesting that the cortical response to IRN is driven in part by slow modulations, not by pitch.

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Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Germany 1 3%
Unknown 35 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Researcher 9 24%
Student > Postgraduate 6 16%
Professor > Associate Professor 4 11%
Student > Doctoral Student 3 8%
Other 4 11%
Unknown 3 8%
Readers by discipline Count As %
Medicine and Dentistry 8 21%
Psychology 8 21%
Neuroscience 5 13%
Agricultural and Biological Sciences 4 11%
Computer Science 2 5%
Other 6 16%
Unknown 5 13%