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Structural and functional plasticity specific to musical training with wind instruments

机译:管乐器的音乐训练特有的结构和功能可塑性

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摘要

Numerous neuroimaging studies have shown structural and functional changes resulting from musical training. Among these studies, changes in primary sensory areas are mostly related to motor functions. In this study, we looked for some similar functional and structural changes in other functional modalities, such as somatosensory function, by examining the effects of musical training with wind instruments. We found significant changes in two aspects of neuroplasticity, cortical thickness, and resting-state neuronal networks. A group of subjects with several years of continuous musical training and who are currently playing in university wind ensembles showed differences in cortical thickness in lip- and tongue-related brain areas vs. non-music playing subjects. Cortical thickness in lip-related brain areas was significantly thicker and that in tongue-related areas was significantly thinner in the music playing group compared with that in the non-music playing group. Association analysis of lip-related areas in the music playing group showed that the increase in cortical thickness was caused by musical training. In addition, seed-based correlation analysis showed differential activation in the precentral gyrus and supplementary motor areas (SMA) between the music and non-music playing groups. These results suggest that high-intensity training with specific musical instruments could induce structural changes in related anatomical areas and could also generate a new functional neuronal network in the brain.
机译:大量的神经影像学研究表明,音乐训练会导致结构和功能的改变。在这些研究中,主要感觉区域的变化主要与运动功能有关。在这项研究中,我们通过检查用管乐器进行音乐训练的效果,寻找其他功能模式(例如体感功能)中类似的功能和结构变化。我们发现神经可塑性,皮层厚度和静止状态神经元网络的两个方面的重大变化。一组经过几年连续音乐训练并且当前正在大学风乐队中演奏的受试者,与非音乐演奏受试者相比,与嘴唇和舌头相关的大脑区域的皮质厚度存在差异。与非音乐演奏组相比,音乐演奏组中与嘴唇相关的大脑区域的皮质厚度显着增厚,而与舌头相关的区域中的皮质厚度显着较薄。音乐演奏组中嘴唇相关区域的关联分析表明,皮层厚度的增加是由音乐训练引起的。此外,基于种子的相关性分析显示音乐和非音乐演奏组之间在中央前回和辅助运动区(SMA)的差异激活。这些结果表明,使用特定乐器进行的高强度训练可以诱导相关解剖区域的结构变化,并且还可以在大脑中生成新的功能神经元网络。

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