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
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