Neural Encoding of Auditory Features during Music Perception and Imagery
Autor: | Robert T. Knight, Brian N. Pasley, José del R. Millán, Christian Mikutta, Stephanie Martin, Dylan Hungate, Matthew K. Leonard, Edward F. Chang, Shihab A. Shamma, Stefan Koelsch |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Auditory perception Auditory scene analysis Computer science Cognitive Neuroscience Speech recognition spectrotemporal receptive fields Sensory system Bioengineering Loudness Feedback 03 medical and health sciences Cellular and Molecular Neuroscience 0302 clinical medicine Feedback Sensory Clinical Research Humans Gamma Rhythm auditory cortex Psychology Evoked Potentials Auditory electrocorticography Cerebral Cortex Neurons Communication Auditory feedback Brain Mapping Assistive Technology Sensory business.industry Neurosciences Experimental Psychology Original Articles 030104 developmental biology Acoustic Stimulation Receptive field Evoked Potentials Auditory Imagination Auditory Perception Auditory imagery Cognitive Sciences business 030217 neurology & neurosurgery Music Mental image frequency tuning |
Zdroj: | Cerebral cortex (New York, N.Y. : 1991), vol 28, iss 12 |
Popis: | Despite many behavioral and neuroimaging investigations, 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 2 conditions. First, the participant played 2 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. This novel task design provided a unique opportunity to apply receptive field modeling techniques to quantitatively study neural encoding during auditory mental imagery. In both conditions, we built encoding models to predict high gamma neural activity (70-150 Hz) from the spectrogram representation of the recorded sound. We found robust spectrotemporal receptive fields during auditory imagery with substantial, but not complete overlap in frequency tuning and cortical location compared to receptive fields measured during auditory perception. |
Databáze: | OpenAIRE |
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