Long-Term Musical Training Alters Auditory Cortical Activity to the Frequency Change

• Published in: Frontiers in human neuroscience 2020-08, Vol.14, p.329-329
• Main Authors: Lee, Jihyun, Han, Ji-Hye, Lee, Hyo-Jeong
• Format: Article
• Language: English
• Subjects: Age; Auditory discrimination; Auditory evoked potentials; Brain research; EEG; Event-related potentials; frequency change; Hearing; hemispheric asymmetry; Hemispheric laterality; Human Neuroscience; Listening; Musical performances; musical training; Musicians & conductors; N1/P2 auditory evoked potential; Neural coding; Neuroplasticity; Noise; Scalp; Sound; spectral processing; Speech; Speech perception; Studies; Training
• ISSN: 1662-5161; 1662-5161
• DOI: 10.3389/fnhum.2020.00329

Objective: The ability to detect frequency variation is a fundamental skill necessary for speech perception. It is known that musical expertise is associated with a range of auditory perceptual skills, including discriminating frequency change, which suggests the neural encoding of spectral features can be enhanced by musical training. In this study, we measured auditory cortical responses to frequency change in musicians to examine the relationships between N1/P2 responses and behavioral performance/musical training. Methods: Behavioral and electrophysiological data were obtained from professional musicians and age-matched non-musician participants. Behavioral data included frequency discrimination detection thresholds for no threshold-equalizing noise, +5, 0, and -5 signal-to-noise ratio settings. Auditory-evoked responses were measured using a 64-channel electroencephalogram system in response to frequency changes in ongoing pure tones consisting of 250 and 4000 Hz, and the magnitudes of frequency change was 10%, 25% or 50% from the base frequencies. N1 and P2 amplitudes and latencies as well as dipole source activation in the left and right hemispheres were measured for each condition. Results: Compared to the non-musician group, behavioral thresholds in the musician group were lower for frequency discrimination in quiet conditions only. The scalp-recorded N1 amplitudes were modulated as a function of frequency change. P2 amplitudes in the musician group were larger than in the non-musician group. Dipole source analysis showed that P2 dipole activity to frequency changes was lateralized to the right hemisphere, with greater activity in the musician group regardless of the hemisphere side. Additionally, N1 amplitudes to frequency changes were positively related to behavioral thresholds for frequency discrimination while enhanced P2 amplitudes were associated with a longer duration of musical training. Conclusions: Our results demonstrate that auditory cortical potentials evoked by frequency change are related to behavioral thresholds for frequency discrimination in musicians. Larger P2 amplitudes in musicians compared to non-musicians reflects musical training-induced neural plasticity.