Lee Jihyun, Han Ji-Hye, Lee Hyo-Jeong
Laboratory of Brain & Cognitive Sciences for Convergence Medicine, Hallym University College of Medicine, Anyang, South Korea.
Department of Otorhinolaryngology, College of Medicine, Hallym University, Anyang, South Korea.
Front Hum Neurosci. 2020 Aug 21;14:329. doi: 10.3389/fnhum.2020.00329. eCollection 2020.
: 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. : 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 (TEN), +5, 0, and -5 signal-to-noise ratio settings. Auditory-evoked responses were measured using a 64-channel electroencephalogram (EEG) system in response to frequency changes in ongoing pure tones consisting of 250 and 4,000 Hz, and the magnitudes of frequency change were 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. : 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. : 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.
检测频率变化的能力是语音感知所必需的一项基本技能。众所周知,音乐专长与一系列听觉感知技能相关,包括辨别频率变化,这表明频谱特征的神经编码可以通过音乐训练得到增强。在本研究中,我们测量了音乐家对频率变化的听觉皮层反应,以检验N1/P2反应与行为表现/音乐训练之间的关系。:行为和电生理数据来自专业音乐家和年龄匹配的非音乐家参与者。行为数据包括无阈值均衡噪声(TEN)、+5、0和-5信噪比设置下的频率辨别检测阈值。使用64通道脑电图(EEG)系统测量听觉诱发反应,以响应由250 Hz和4000 Hz组成的持续纯音的频率变化,频率变化幅度为基频的10%、25%或50%。针对每种情况测量左、右半球的N1和P2振幅、潜伏期以及偶极子源激活情况。:与非音乐家组相比,音乐家组仅在安静条件下的频率辨别行为阈值较低。头皮记录的N1振幅随频率变化而调制。音乐家组的P2振幅大于非音乐家组。偶极子源分析表明,P2对频率变化的偶极子活动偏向右侧半球,无论半球侧如何,音乐家组的活动都更强。此外,频率变化的N1振幅与频率辨别行为阈值呈正相关,而增强的P2振幅与更长的音乐训练时长相关。:我们的结果表明,频率变化诱发的听觉皮层电位与音乐家的频率辨别行为阈值相关。与非音乐家相比,音乐家更大的P2振幅反映了音乐训练诱导的神经可塑性。