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Is Congenital Amusia a Disconnection Syndrome? A Study Combining Tract- and Network-Based Analysis

机译:先天性失语症是一种脱臼综合征吗?基于行法和网络分析相结合的研究

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摘要

Previous studies on congenital amusia mainly focused on the impaired fronto-temporal pathway. It is possible that neural pathways of amusia patients on a larger scale are affected. In this study, we investigated changes in structural connections by applying both tract-based and network-based analysis to DTI data of 12 subjects with congenital amusia and 20 demographic-matched normal controls. TBSS (tract-based spatial statistics) was used to detect microstructural changes. The results showed that amusics had higher diffusivity indices in the corpus callosum, the right inferior/superior longitudinal fasciculus, and the right inferior frontal-occipital fasciculus (IFOF). The axial diffusivity values of the right IFOF were negatively correlated with musical scores in the amusia group. Network-based analysis showed that the efficiency of the brain network was reduced in amusics. The impairments of WM tracts were also found to be correlated with reduced network efficiency in amusics. This suggests that impaired WM tracts may lead to the reduced network efficiency seen in amusics. Our findings suggest that congenital amusia is a disconnection syndrome.
机译:先前关于先天性躁狂的研究主要集中在额颞通路受损。娱乐性患者的神经通路可能会受到较大影响。在这项研究中,我们通过对12位先天性失语症患者和20位人口统计学匹配的正常对照的DTI数据应用基于区域分析和基于网络的分析,研究了结构连接的变化。 TBSS(基于区域的空间统计)用于检测微观结构变化。结果表明,音乐在call体,右下/上纵筋膜和右下额枕筋膜(IFOF)中具有较高的扩散指数。失语症组右IFOF的轴向扩散率值与乐谱呈负相关。基于网络的分析表明,在音乐中脑网络的效率降低了。还发现WM道的损伤与音乐中网络效率的降低有关。这表明WM音域受损可能会导致音乐中的网络效率降低。我们的发现表明,先天性失语是一种断开综合征。

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