Anatomical and Functional Characterization in Children With Unilateral Cerebral Palsy: An Atlas-Based Analysis.

Anatomical and Functional Characterization in Children With Unilateral Cerebral Palsy: An Atlas-Based Analysis.
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DOI:
10.1177/1545968319899916
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发表时间:
2020-02
影响因子:
4.2
通讯作者:
Friel KM
Friel KM
中科院分区:
医学1区
文献类型:
--
作者:
Ferre CL;Carmel JB;Flamand VH;Gordon AM;Friel KM

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单侧脑性瘫痪(UCP)儿童手功能的变异性可能反映了脑损伤的类型和导致的解剖学后遗症。我们使用基于图谱的结构图像分析来确定脑室周围(PV)和大脑中动脉(MCA)损伤的儿童是否表现出解释手功能差异的独特解剖特征。对40例UCP患儿进行了3-T磁共振结构脑成像。脑部病变分为PV或MCA。40名典型发育中(TD)儿童作为对照。整个大脑被分割成198个结构(感兴趣区域),以获得体积估计。评估患者的灵巧度和双手功能。进行无偏的差异表达分析,以确定PV组和MCA组之间的体积差异。进行主成分分析,提取前3个成分,对手功能进行回归分析。PV患儿的手功能明显好于MCA患儿。体积数据的多维比例分析显示,患有MCA、PV和TD的儿童分别聚集在一起。主成分分析提取了构成两种脑损伤类型的解剖成分。在大脑中动脉组,体积缩小集中在患侧感觉运动结构。使用主成分分析的模型比基于定性脑损伤类型的模型预测手功能的准确性更高。我们的结果突出了UCP儿童独特的数量差异,这也可以预测手功能的差异。在我们的研究中发现的群体之间的系统性区别揭示了关于这种方法的潜在预后效用的未来问题。
Variability in hand function among children with unilateral cerebral palsy (UCP) might reflect the type of brain injury and resulting anatomical sequelae. We used atlas-based analysis of structural images to determine whether children with periventricular (PV) versus middle cerebral artery (MCA) injuries might exhibit unique anatomical characteristics that account for differences in hand function. Forty children with UCP underwent structural brain imaging using 3-T magnetic resonance imaging. Brain lesions were classified as PV or MCA. A group of 40 typically developing (TD) children served as comparison controls. Whole brains were parcellated into 198 structures (regions of interest) to obtain volume estimates. Dexterity and bimanual hand function were assessed. Unbiased, differential expression analysis was performed to determine volumetric differences between PV and MCA groups. Principal component analysis (PCA) was performed and the top 3 components were extracted to perform regression on hand function. Children with PV had significantly better hand function than children with MCA. Multidimensional scaling analysis of volumetric data revealed separate clustering of children with MCA, PV, and TD children. PCA extracted anatomical components that comprised the 2 types of brain injury. In the MCA group, reductions of volume were concentrated in sensorimotor structures of the injured hemisphere. Models using PCA predicted hand function with greater accuracy than models based on qualitative brain injury type. Our results highlight unique quantitative differences in children with UCP that also predict differences in hand function. The systematic discrimination between groups found in our study reveals future questions about the potential prognostic utility of this approach.
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