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Neural Encoding of Auditory Features during Music Perception and Imagery: Insight into the Brain of a Piano Player Auditory Features and Music Imagery

View ORCID ProfileStephanie Martin, Christian Mikutta, Matthew K. Leonard, Dylan Hungate, Stefan Koelsch, Edward F. Chang, José del R. Millán, Robert T. Knight, Brian N. Pasley
doi: https://doi.org/10.1101/106617
Stephanie Martin
1 Defitech Chair in Brain-Machine Interface, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Switzerland
2 Helen Wills Neuroscience Institute, University of California, Berkeley, CA 94720, USA
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  • ORCID record for Stephanie Martin
Christian Mikutta
2 Helen Wills Neuroscience Institute, University of California, Berkeley, CA 94720, USA
3 Translational Research Center and Division of Clinical Research Support, Psychiatric Services University of Bern (UPD), University Hospital of Psychiatry, Bern, Switzerland
4 Department of Neurology, Inselspital, Bern, University Hospital, University of Bern, Switzerland
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Matthew K. Leonard
5 Department of Neurological Surgery, Department of Physiology, and Center for Integrative Neuroscience, University of California, San Francisco, CA 94143, USA.
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Dylan Hungate
5 Department of Neurological Surgery, Department of Physiology, and Center for Integrative Neuroscience, University of California, San Francisco, CA 94143, USA.
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Stefan Koelsch
6 Languages of Emotion, Freie Universitä, Berlin, Germany
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Edward F. Chang
5 Department of Neurological Surgery, Department of Physiology, and Center for Integrative Neuroscience, University of California, San Francisco, CA 94143, USA.
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José del R. Millán
1 Defitech Chair in Brain-Machine Interface, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Switzerland
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Robert T. Knight
2 Helen Wills Neuroscience Institute, University of California, Berkeley, CA 94720, USA
7 Department of Psychology, University of California, Berkeley, CA 94720, USA
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Brian N. Pasley
2 Helen Wills Neuroscience Institute, University of California, Berkeley, CA 94720, USA
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Abstract

It remains unclear how the human cortex represents spectrotemporal sound features during auditory imagery, and how this representation compares to auditory perception. To assess this, we recorded electrocorticographic signals from an epileptic patient with proficient music ability in two conditions. First, the participant played two piano pieces on an electronic piano with the sound volume of the digital keyboard on. Second, the participant replayed the same piano pieces, but without auditory feedback, and the participant was asked to imagine hearing the music in his mind. In both conditions, the sound output of the keyboard was recorded, thus allowing precise time-locking between the neural activity and the spectrotemporal content of the music imagery. For both conditions, we built encoding models to predict high gamma neural activity (70-150Hz) from the spectrogram representation of the recorded sound. We found robust similarities between perception and imagery – in frequency and temporal tuning properties in auditory areas.

ECoG
electrocorticography
HG
high gamma
IFG
inferior frontal gyrus
MTG
middle temporal gyrus
Post-CG
post-central gyrus
Pre-CG
pre-central gyrus
SMG
supramarginal gyrus
STG
superior temporal gyrus
STRF
spectrotemporal receptive field
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted February 07, 2017.
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Neural Encoding of Auditory Features during Music Perception and Imagery: Insight into the Brain of a Piano Player Auditory Features and Music Imagery
Stephanie Martin, Christian Mikutta, Matthew K. Leonard, Dylan Hungate, Stefan Koelsch, Edward F. Chang, José del R. Millán, Robert T. Knight, Brian N. Pasley
bioRxiv 106617; doi: https://doi.org/10.1101/106617
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Neural Encoding of Auditory Features during Music Perception and Imagery: Insight into the Brain of a Piano Player Auditory Features and Music Imagery
Stephanie Martin, Christian Mikutta, Matthew K. Leonard, Dylan Hungate, Stefan Koelsch, Edward F. Chang, José del R. Millán, Robert T. Knight, Brian N. Pasley
bioRxiv 106617; doi: https://doi.org/10.1101/106617

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