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首页> 外文期刊>Brain structure & function >Musical training intensity yields opposite effects on grey matter density in cognitive versus sensorimotor networks
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Musical training intensity yields opposite effects on grey matter density in cognitive versus sensorimotor networks

机译:音乐训练强度对认知和感觉运动网络中的灰质密度产生相反的影响

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Using optimized voxel-based morphometry, we performed grey matter density analyses on 59 age-, sex- and intelligence-matched young adults with three distinct, progressive levels of musical training intensity or expertise. Structural brain adaptations in musicians have been repeatedly demonstrated in areas involved in auditory perception and motor skills. However, musical activities are not confined to auditory perception and motor performance, but are entangled with higher-order cognitive processes. In consequence, neuronal systems involved in such higher-order processing may also be shaped by experience-driven plasticity. We modelled expertise as a three-level regressor to study possible linear relationships of expertise with grey matter density. The key finding of this study resides in a functional dissimilarity between areas exhibiting increase versus decrease of grey matter as a function of musical expertise. Grey matter density increased with expertise in areas known for their involvement in higher-order cognitive processing: right fusiform gyrus (visual pattern recognition), right mid orbital gyrus (tonal sensitivity), left inferior frontal gyrus (syntactic processing, executive function, working memory), left intraparietal sulcus (visuo-motor coordination) and bilateral posterior cerebellar Crus II (executive function, working memory) and in auditory processing: left Heschl's gyrus. Conversely, grey matter density decreased with expertise in bilateral perirolandic and striatal areas that are related to sensorimotor function, possibly reflecting high automation of motor skills. Moreover, a multiple regression analysis evidenced that grey matter density in the right mid orbital area and the inferior frontal gyrus predicted accuracy in detecting fine-grained incongruities in tonal music.
机译:使用优化的基于体素的形态学,我们对59位年龄,性别和智力匹配的年轻人进行了灰质密度分析,他们具有三种不同的,渐进的音乐训练强度或专业水平。在涉及听觉感知和运动技能的领域中,音乐家的结构性大脑适应已经被反复证明。然而,音乐活动不仅仅限于听觉感知和运动表现,而是与更高阶的认知过程纠缠在一起。结果,参与这种高阶处理的神经元系统也可能会受到经验驱动的可塑性的影响。我们将专业知识建模为三级回归模型,以研究专业知识与灰质密度的可能线性关系。这项研究的主要发现在于,根据音乐专业知识的不同,在显示出灰质增加与减少的区域之间的功能差异。灰质密度随着参与高阶认知加工而闻名的领域的专业知识而增加:右梭状回(视觉模式识别),右眶中回(音调敏感性),左下额回(句法处理,执行功能,工作记忆) ),左顶壁沟(视运动协调)和双侧小脑后肌Crus II(执行功能,工作记忆)以及听觉处理:左赫氏回。相反,在与感觉运动功能有关的双侧周膜和纹状体领域,随着灰质密度的降低,这可能反映了运动技能的高度自动化。此外,多元回归分析表明,右中眶区域和额下回的灰质密度预测了检测音调音乐中细微不一致性的准确性。

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