Document Detail

Representation of pitch chroma by multi-peak spectral tuning in human auditory cortex.
MedLine Citation:
PMID:  25479020     Owner:  NLM     Status:  Publisher    
Musical notes played at octave intervals (i.e. having the same pitch chroma) are perceived as similar. This well-known perceptual phenomenon lays at the foundation of melody recognition and music perception, yet to date its neural underpinnings remain largely unknown. Using fMRI with high sensitivity and spatial resolution, we examine the contribution of multi-peak spectral tuning to the neural representation of pitch chroma in human auditory cortex in two experiments. In experiment 1, our estimation of population spectral tuning curves from the responses to natural sounds confirms - with new data - our recent results on the existence of cortical ensemble responses finely tuned to multiple frequencies at one octave distance (Moerel et al., 2013). In experiment 2, we fit a mathematical model consisting of a pitch chroma and height component to explain the measured fMRI responses to piano notes. This analysis reveals that the octave-tuned populations - but not other cortical populations - harbor a neural representation of musical notes according to their pitch chroma. These results indicate that responses of auditory cortical populations selectively tuned to multiple frequencies at one octave distance predict well the perceptual similarity of musical notes with the same chroma, beyond the physical (frequency) distance of notes.
Michelle Moerel; Federico De Martino; Roberta Santoro; Essa Yacoub; Elia Formisano
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-12-2
Journal Detail:
Title:  NeuroImage     Volume:  -     ISSN:  1095-9572     ISO Abbreviation:  Neuroimage     Publication Date:  2014 Dec 
Date Detail:
Created Date:  2014-12-5     Completed Date:  -     Revised Date:  2014-12-6    
Medline Journal Info:
Nlm Unique ID:  9215515     Medline TA:  Neuroimage     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014 Elsevier Inc. All rights reserved.
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