Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment.
Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment.
复制标题
基于遗忘型轻度认知障碍多种形态特征的大规模皮层网络的拓扑特性
DOI：
10.1155/2016/3462309
复制
发表时间：
2016
影响因子：
3.1
通讯作者：
Han Y
中科院分区：
文献类型：
--
作者：
Li Q;Li X;Wang X;Li Y;Li K;Yu Y;Yin C;Li S;Han Y
先前的研究表明，遗忘型轻度认知障碍（aMCI）已经破坏了基于皮质厚度和灰质体积的大规模皮质网络的特性。然而，很大程度上还不知道基于几何测量的皮层网络的拓扑特性（即，脑沟深度、曲率和度量失真）的变化，因为大脑皮层的这些几何特征可能与其内在的连通性有关。在这里，我们比较了36名aMCI参与者和36名正常对照者的6种不同形态特征构建的皮层网络的特性。提取每个受试者的6个皮层特征（3个体积特征和3个几何特征），采用基于图论方法的皮层网络识别aMCI患者的脑异常。所有的皮层网络都表现出小世界特性。差异显著的区域主要集中在内侧颞叶、边缘上叶和右下顶叶。此外，我们还发现由皮质厚度和脑沟深度构成的皮质网络在两组之间存在显著差异。我们的结果表明，几何测度（即，脑沟深度）可用于构建网络以区分患有aMCI的个体与除了体积测量之外的对照。
Previous studies have demonstrated that amnestic mild cognitive impairment (aMCI) has disrupted properties of large-scale cortical networks based on cortical thickness and gray matter volume. However, it is largely unknown whether the topological properties of cortical networks based on geometric measures (i.e., sulcal depth, curvature, and metric distortion) change in aMCI patients compared with normal controls because these geometric features of cerebral cortex may be related to its intrinsic connectivity. Here, we compare properties in cortical networks constructed by six different morphological features in 36 aMCI participants and 36 normal controls. Six cortical features (3 volumetric and 3 geometric features) were extracted for each participant, and brain abnormities in aMCI were identified by cortical network based on graph theory method. All the cortical networks showed small-world properties. Regions showing significant differences mainly located in the medial temporal lobe and supramarginal and right inferior parietal lobe. In addition, we also found that the cortical networks constructed by cortical thickness and sulcal depth showed significant differences between the two groups. Our results indicated that geometric measure (i.e., sulcal depth) can be used to construct network to discriminate individuals with aMCI from controls besides volumetric measures.