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个体脑桥小脑功能网络分析解码术后小脑缄默综合征的症状学动态变化。

Individual cerebrocerebellar functional network analysis decoding symptomatologic dynamics of postoperative cerebellar mutism syndrome.

作者信息

Chen Ko-Ting, Ho Tsung-Ying, Siow Tiing-Yee, Yeh Yu-Chiang, Huang Sheng-Yao

机构信息

Department of Neurosurgery, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan.

Department of Nuclear Medicine and Molecular Imaging Center, Chang Gung Memorial Hospital at Linkou, Chang Gung University, Taoyuan 333, Taiwan.

出版信息

Cereb Cortex Commun. 2022 Feb 11;3(1):tgac008. doi: 10.1093/texcom/tgac008. eCollection 2022.

Abstract

INTRODUCTION

Postoperative cerebellar mutism syndrome (pCMS) consists of three types of symptoms (motoric, linguistic, and neurobehavioral) in patients with posterior fossa pathologies. The evolutional mechanism of this high cognitive syndromic complex from cerebellar origin remains unconfirmed. Previous studies analyzing CMS patients mostly focused on the association between structural abnormalities that occur during CMS, of which proximal efferent cerebellar pathway (pECP) injury appears to be the most common pathogenesis. However, structural imaging may not be sensitive enough to determine the dynamic course of CMS, since the symptomatology is primarily an output of cerebral operation.

METHOD

We took a network approach in a child during her course of development and recovery of the pCMS. On the other hand, a network neuroscience approach using a mathematical model to extract information from functional imaging to generate interregional connectivity provides abundant evidence that the cerebellum is influential in modulating cerebral functions.

RESULT

This study applied a network approach to children with pCMS. An individual cerebrocerebellar functional network analysis using graph theory was then performed to determine the network dynamics during CMS. Cross-validation of clinical neurophysiology and functional neuroscience suggested the critical role of the pECP within CMS from the network analysis.

CONCLUSION

The employed approach was therefore useful in determining the complex clinical symptoms using individual functional network analysis, which bridges the gap between structural neuroimaging and clinical neurophysiology.

摘要

引言

术后小脑缄默综合征(pCMS)在患有后颅窝病变的患者中由三种类型的症状(运动、语言和神经行为)组成。这种源自小脑的高度认知综合征复合体的演变机制尚未得到证实。以往分析CMS患者的研究大多集中在CMS期间发生的结构异常之间的关联上,其中近端传出小脑通路(pECP)损伤似乎是最常见的发病机制。然而,结构成像可能不够敏感,无法确定CMS的动态过程,因为症状主要是大脑运作的结果。

方法

我们在一名儿童pCMS的发展和恢复过程中采用了网络方法。另一方面,使用数学模型从功能成像中提取信息以生成区域间连通性的网络神经科学方法提供了大量证据,表明小脑在调节大脑功能方面具有影响力。

结果

本研究将网络方法应用于患有pCMS的儿童。然后使用图论进行个体脑小脑功能网络分析,以确定CMS期间的网络动态。临床神经生理学和功能神经科学的交叉验证从网络分析中表明了pECP在CMS中的关键作用。

结论

因此,所采用的方法在使用个体功能网络分析确定复杂临床症状方面很有用,它弥合了结构神经成像和临床神经生理学之间的差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/858d/8914218/0c8350e0fbdf/tgac008f1.jpg

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