Literature DB >> 11731536

Consonance and dissonance of musical chords: neural correlates in auditory cortex of monkeys and humans.

Y I Fishman1, I O Volkov, M D Noh, P C Garell, H Bakken, J C Arezzo, M A Howard, M Steinschneider.   

Abstract

Some musical chords sound pleasant, or consonant, while others sound unpleasant, or dissonant. Helmholtz's psychoacoustic theory of consonance and dissonance attributes the perception of dissonance to the sensation of "beats" and "roughness" caused by interactions in the auditory periphery between adjacent partials of complex tones comprising a musical chord. Conversely, consonance is characterized by the relative absence of beats and roughness. Physiological studies in monkeys suggest that roughness may be represented in primary auditory cortex (A1) by oscillatory neuronal ensemble responses phase-locked to the amplitude-modulated temporal envelope of complex sounds. However, it remains unknown whether phase-locked responses also underlie the representation of dissonance in auditory cortex. In the present study, responses evoked by musical chords with varying degrees of consonance and dissonance were recorded in A1 of awake macaques and evaluated using auditory-evoked potential (AEP), multiunit activity (MUA), and current-source density (CSD) techniques. In parallel studies, intracranial AEPs evoked by the same musical chords were recorded directly from the auditory cortex of two human subjects undergoing surgical evaluation for medically intractable epilepsy. Chords were composed of two simultaneous harmonic complex tones. The magnitude of oscillatory phase-locked activity in A1 of the monkey correlates with the perceived dissonance of the musical chords. Responses evoked by dissonant chords, such as minor and major seconds, display oscillations phase-locked to the predicted difference frequencies, whereas responses evoked by consonant chords, such as octaves and perfect fifths, display little or no phase-locked activity. AEPs recorded in Heschl's gyrus display strikingly similar oscillatory patterns to those observed in monkey A1, with dissonant chords eliciting greater phase-locked activity than consonant chords. In contrast to recordings in Heschl's gyrus, AEPs recorded in the planum temporale do not display significant phase-locked activity, suggesting functional differentiation of auditory cortical regions in humans. These findings support the relevance of synchronous phase-locked neural ensemble activity in A1 for the physiological representation of sensory dissonance in humans and highlight the merits of complementary monkey/human studies in the investigation of neural substrates underlying auditory perception.

Entities:  

Mesh:

Year:  2001        PMID: 11731536     DOI: 10.1152/jn.2001.86.6.2761

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


  51 in total

1.  Ability of primary auditory cortical neurons to detect amplitude modulation with rate and temporal codes: neurometric analysis.

Authors:  Jeffrey S Johnson; Pingbo Yin; Kevin N O'Connor; Mitchell L Sutter
Journal:  J Neurophysiol       Date:  2012-03-14       Impact factor: 2.714

2.  Functional specializations for music processing in the human newborn brain.

Authors:  Daniela Perani; Maria Cristina Saccuman; Paola Scifo; Danilo Spada; Guido Andreolli; Rosanna Rovelli; Cristina Baldoli; Stefan Koelsch
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-22       Impact factor: 11.205

3.  Investigating emotion with music: an fMRI study.

Authors:  Stefan Koelsch; Thomas Fritz; D Yves V Cramon; Karsten Müller; Angela D Friederici
Journal:  Hum Brain Mapp       Date:  2006-03       Impact factor: 5.038

4.  Neural representation of harmonic complex tones in primary auditory cortex of the awake monkey.

Authors:  Yonatan I Fishman; Christophe Micheyl; Mitchell Steinschneider
Journal:  J Neurosci       Date:  2013-06-19       Impact factor: 6.167

Review 5.  Recent advances in exploring the neural underpinnings of auditory scene perception.

Authors:  Joel S Snyder; Mounya Elhilali
Journal:  Ann N Y Acad Sci       Date:  2017-02-15       Impact factor: 5.691

6.  Neuronal phase consistency tracks dynamic changes in acoustic spectral regularity.

Authors:  Adam M Gifford; Michael R Sperling; Ashwini Sharan; Richard J Gorniak; Ryan B Williams; Kathryn Davis; Michael J Kahana; Yale E Cohen
Journal:  Eur J Neurosci       Date:  2018-11-29       Impact factor: 3.386

7.  Functional localization of auditory cortical fields of human: click-train stimulation.

Authors:  John F Brugge; Igor O Volkov; Hiroyuki Oya; Hiroto Kawasaki; Richard A Reale; Albert Fenoy; Mitchell Steinschneider; Matthew A Howard
Journal:  Hear Res       Date:  2007-12-08       Impact factor: 3.208

8.  The representation of voice onset time in the cortical auditory evoked potentials of young children.

Authors:  Katrina Agung King; Julia Campbell; Anu Sharma; Kathryn Martin; Michael Dorman; Justin Langran
Journal:  Clin Neurophysiol       Date:  2008-11-05       Impact factor: 3.708

Review 9.  Music perception, pitch, and the auditory system.

Authors:  Josh H McDermott; Andrew J Oxenham
Journal:  Curr Opin Neurobiol       Date:  2008-10-02       Impact factor: 6.627

10.  Prefrontal activity predicts monkeys' decisions during an auditory category task.

Authors:  Jung H Lee; Brian E Russ; Lauren E Orr; Yale E Cohen
Journal:  Front Integr Neurosci       Date:  2009-06-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.