Department of Radiology, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, 56 Nanlishilu, Beijing, 100045, China.
School of Medicine, Nankai University, Tianjin, 300071, China.
Brain Imaging Behav. 2024 Feb;18(1):92-105. doi: 10.1007/s11682-023-00809-y. Epub 2023 Oct 31.
To assess the disruptions of brain white matter (WM) structural network in children with obstructive sleep apnea (OSA) using diffusion kurtosis imaging (DKI). We use DKI tractography to construct individual whole-brain, region-level WM networks in 40 OSA and 28 healthy children. Then, we apply graph theory approaches to analyze whether OSA children would show altered global and regional network topological properties and whether these alterations would significantly correlate with the clinical characteristics of OSA. We found that both OSA and healthy children showed an efficient small-world organization and highly similar hub distributions in WM networks. However, characterized by kurtosis fractional anisotropy (KFA) weighted networks, OSA children exhibited decreased global and local efficiency, increased shortest path length compared with healthy children. For regional topology, OSA children exhibited significant decreased nodal betweenness centrality (BC) in the bilateral medial orbital superior frontal gyrus (ORBsupmed), right orbital part superior frontal gyrus (ORBsup), insula, postcentral gyrus, left middle temporal gyrus (MTG), and increased nodal BC in the superior parietal gyrus, pallidum. Intriguingly, the altered nodal BC of multiple regions (right ORBsupmed, ORBsup and left MTG) within default mode network showed significant correlations with sleep parameters for OSA patients. Our results suggest that children with OSA showed decreased global integration and local specialization in WM networks, typically characterized by DKI tractography and KFA metric. This study may advance our current understanding of the pathophysiological mechanisms of impaired cognition underlying OSA.
采用弥散峰度成像(DKI)评估阻塞性睡眠呼吸暂停(OSA)患儿脑白质(WM)结构网络的破坏。我们使用 DKI 追踪技术构建了 40 名 OSA 患儿和 28 名健康儿童的个体全脑、区域级 WM 网络。然后,我们应用图论方法分析 OSA 患儿是否会表现出WM 网络全局和区域拓扑性质的改变,以及这些改变是否与 OSA 的临床特征显著相关。我们发现,OSA 患儿和健康儿童的 WM 网络均表现出有效的小世界组织,且具有高度相似的中枢分布。然而,与基于峰度分数各向异性(KFA)的网络相比,OSA 患儿的全局和局部效率降低,最短路径长度增加。在区域拓扑中,OSA 患儿双侧额上眶回内侧(ORBsupmed)、额上眶回(ORBsup)、岛叶、中央后回、左颞中回(MTG)的节点介数中心度(BC)显著降低,而顶上回、苍白球的节点 BC 显著增加。有趣的是,默认模式网络内多个区域(右侧 ORBsupmed、ORBsup 和左侧 MTG)的节点 BC 改变与 OSA 患者的睡眠参数显著相关。我们的结果表明,OSA 患儿的 WM 网络表现出全局整合和局部专业化程度降低,这一特征通常可通过 DKI 追踪技术和 KFA 指标来识别。本研究可能有助于深入了解 OSA 患儿认知功能受损的病理生理机制。