Institute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.
Neuropsychologia. 2012 Jan;50(2):341-9. doi: 10.1016/j.neuropsychologia.2011.12.007. Epub 2011 Dec 19.
This study aimed to assess the effect of musical training in statistical learning of tone sequences using Magnetoencephalography (MEG). Specifically, MEG recordings were used to investigate the neural and functional correlates of the pre-attentive ability for detection of deviance, from a statistically learned tone sequence. The effect of long-term musical training in this ability is investigated by means of comparison of MMN in musicians to non-musicians. Both groups (musicians and non-musicians) showed a mismatch negativity (MMN) response to the deviants and this response did not differ amongst them neither in amplitude nor in latency. Another interesting finding of this study is that both groups revealed a significant difference between the standards and the deviants in the response of P50 and this difference was significantly larger in the group of musicians. The increase of this difference in the group of musicians underlies that intensive, specialized and long term exercise can enhance the ability of the auditory cortex to discriminate new auditory events from previously learned ones according to transitional probabilities. A behavioral discrimination task between the standard and the deviant sequences followed the MEG measurement. The behavioral results indicated that the detection of deviance was not explicitly learned by either group, probably due to the lack of attentional resources. These findings provide valuable insights on the functional architecture of statistical learning.
本研究旨在利用脑磁图(MEG)评估音乐训练对音调序列统计学习的影响。具体而言,使用 MEG 记录来研究神经和功能相关性,即从统计学习的音调序列中,对偏离进行前注意检测的能力。通过比较音乐家和非音乐家的 MMN,来研究长期音乐训练对这种能力的影响。两组(音乐家和非音乐家)都对偏差表现出了失匹配负波(MMN)反应,而且在振幅和潜伏期方面,两组之间没有差异。这项研究的另一个有趣发现是,两组在 P50 的反应中都显示出了标准和偏差之间的显著差异,而且这种差异在音乐家组中明显更大。音乐家组中这种差异的增加表明,密集、专业和长期的锻炼可以增强听觉皮层根据过渡概率区分新的听觉事件和以前学习过的听觉事件的能力。在 MEG 测量之后,进行了标准和偏差序列之间的行为辨别任务。行为结果表明,两组都没有明确地学习到偏离,可能是由于缺乏注意力资源。这些发现为统计学习的功能架构提供了有价值的见解。