Literature DB >> 33596723

Music-selective neural populations arise without musical training.

Dana Boebinger1,2,3, Sam V Norman-Haignere4,5, Josh H McDermott1,2,3,6, Nancy Kanwisher2,3,6.   

Abstract

Recent work has shown that human auditory cortex contains neural populations anterior and posterior to primary auditory cortex that respond selectively to music. However, it is unknown how this selectivity for music arises. To test whether musical training is necessary, we measured fMRI responses to 192 natural sounds in 10 people with almost no musical training. When voxel responses were decomposed into underlying components, this group exhibited a music-selective component that was very similar in response profile and anatomical distribution to that previously seen in individuals with moderate musical training. We also found that musical genres that were less familiar to our participants (e.g., Balinese gamelan) produced strong responses within the music component, as did drum clips with rhythm but little melody, suggesting that these neural populations are broadly responsive to music as a whole. Our findings demonstrate that the signature properties of neural music selectivity do not require musical training to develop, showing that the music-selective neural populations are a fundamental and widespread property of the human brain.NEW & NOTEWORTHY We show that music-selective neural populations are clearly present in people without musical training, demonstrating that they are a fundamental and widespread property of the human brain. Additionally, we show music-selective neural populations respond strongly to music from unfamiliar genres as well as music with rhythm but little pitch information, suggesting that they are broadly responsive to music as a whole.

Entities:  

Keywords:  auditory cortex; decomposition; expertise; fMRI; music

Mesh:

Year:  2021        PMID: 33596723      PMCID: PMC8285655          DOI: 10.1152/jn.00588.2020

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.974


  111 in total

1.  Speech versus song: multiple pitch-sensitive areas revealed by a naturally occurring musical illusion.

Authors:  Adam Tierney; Fred Dick; Diana Deutsch; Marty Sereno
Journal:  Cereb Cortex       Date:  2012-02-07       Impact factor: 5.357

2.  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

3.  Musical experience shapes human brainstem encoding of linguistic pitch patterns.

Authors:  Patrick C M Wong; Erika Skoe; Nicole M Russo; Tasha Dees; Nina Kraus
Journal:  Nat Neurosci       Date:  2007-03-11       Impact factor: 24.884

4.  Spatial representations of temporal and spectral sound cues in human auditory cortex.

Authors:  Marcus Herdener; Fabrizio Esposito; Klaus Scheffler; Peter Schneider; Nikos K Logothetis; Kamil Uludag; Christoph Kayser
Journal:  Cortex       Date:  2013-04-24       Impact factor: 4.027

5.  Differentiating maturational and training influences on fMRI activation during music processing.

Authors:  Robert J Ellis; Andrea C Norton; Katie Overy; Ellen Winner; David C Alsop; Gottfried Schlaug
Journal:  Neuroimage       Date:  2012-02-09       Impact factor: 6.556

Review 6.  Sensitive periods in human development: evidence from musical training.

Authors:  Virginia B Penhune
Journal:  Cortex       Date:  2011-05-17       Impact factor: 4.027

7.  Distinct sensitivity to spectrotemporal modulation supports brain asymmetry for speech and melody.

Authors:  Benjamin Morillon; Robert J Zatorre; Philippe Albouy; Lucas Benjamin
Journal:  Science       Date:  2020-02-28       Impact factor: 47.728

8.  Learning strategy trumps motivational level in determining learning-induced auditory cortical plasticity.

Authors:  Kasia M Bieszczad; Norman M Weinberger
Journal:  Neurobiol Learn Mem       Date:  2009-10-21       Impact factor: 2.877

9.  EEG-based classification of natural sounds reveals specialized responses to speech and music.

Authors:  Nathaniel J Zuk; Emily S Teoh; Edmund C Lalor
Journal:  Neuroimage       Date:  2020-01-18       Impact factor: 6.556

10.  Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia.

Authors:  Philippe Albouy; Anne Caclin; Sam V Norman-Haignere; Yohana Lévêque; Isabelle Peretz; Barbara Tillmann; Robert J Zatorre
Journal:  Front Neurosci       Date:  2019-10-30       Impact factor: 4.677

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  5 in total

1.  Musical and linguistic syntactic processing in agrammatic aphasia: An ERP study.

Authors:  Brianne Chiappetta; Aniruddh D Patel; Cynthia K Thompson
Journal:  J Neurolinguistics       Date:  2021-12-15       Impact factor: 1.710

2.  A neural population selective for song in human auditory cortex.

Authors:  Sam V Norman-Haignere; Jenelle Feather; Dana Boebinger; Peter Brunner; Anthony Ritaccio; Josh H McDermott; Gerwin Schalk; Nancy Kanwisher
Journal:  Curr Biol       Date:  2022-02-22       Impact factor: 10.834

3.  Multiscale temporal integration organizes hierarchical computation in human auditory cortex.

Authors:  Sam V Norman-Haignere; Laura K Long; Orrin Devinsky; Werner Doyle; Ifeoma Irobunda; Edward M Merricks; Neil A Feldstein; Guy M McKhann; Catherine A Schevon; Adeen Flinker; Nima Mesgarani
Journal:  Nat Hum Behav       Date:  2022-02-10

Review 4.  Auditory affective processing, musicality, and the development of misophonic reactions.

Authors:  Solena D Mednicoff; Sivan Barashy; Destiny Gonzales; Stephen D Benning; Joel S Snyder; Erin E Hannon
Journal:  Front Neurosci       Date:  2022-09-23       Impact factor: 5.152

5.  Musical Sophistication and Speech Auditory-Motor Coupling: Easy Tests for Quick Answers.

Authors:  Johanna M Rimmele; Pius Kern; Christina Lubinus; Klaus Frieler; David Poeppel; M Florencia Assaneo
Journal:  Front Neurosci       Date:  2022-01-04       Impact factor: 4.677

  5 in total

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