Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, 100044, China.
Department of Radiology, Peking University International Hospital, Beijing, 102206, China.
Neurosci Bull. 2019 Aug;35(4):743-755. doi: 10.1007/s12264-018-0307-6. Epub 2018 Nov 13.
The present study was aimed to evaluate resting-state functional connectivity and topological properties of brain networks in narcolepsy patients compared with healthy controls. Resting-state fMRI was performed in 26 adult narcolepsy patients and 30 matched healthy controls. MRI data were first analyzed by group independent component analysis, then a graph theoretical method was applied to evaluate the topological properties in the whole brain. Small-world network parameters and nodal topological properties were measured. Altered topological properties in brain areas between groups were selected as region-of-interest seeds, then the functional connectivity among these seeds was compared between groups. Partial correlation analysis was performed to evaluate the relationship between the severity of sleepiness and functional connectivity or topological properties in the narcolepsy patients. Twenty-one independent components out of 48 were obtained. Compared with healthy controls, the narcolepsy patients exhibited significantly decreased functional connectivity within the executive and salience networks, along with increased functional connectivity in the bilateral frontal lobes within the executive network. There were no differences in small-world network properties between patients and controls. The altered brain areas in nodal topological properties between groups were mainly in the inferior frontal cortex, basal ganglia, anterior cingulate, sensory cortex, supplementary motor cortex, and visual cortex. In the partial correlation analysis, nodal topological properties in the putamen, anterior cingulate, and sensory cortex as well as functional connectivity between these regions were correlated with the severity of sleepiness (sleep latency, REM sleep latency, and Epworth sleepiness score) among narcolepsy patients. Altered connectivity within the executive and salience networks was found in narcolepsy patients. Functional connection changes between the left frontal cortex and left caudate nucleus may be one of the parameters describing the severity of narcolepsy. Changes in the nodal topological properties in the left putamen and left posterior cingulate, changes in functional connectivity between the left supplementary motor area and right occipital as well as in functional connectivity between the left anterior cingulate gyrus and bilateral postcentral gyrus can be considered as a specific indicator for evaluating the severity of narcolepsy.
本研究旨在评估发作性睡病患者与健康对照者静息态功能连接和脑网络拓扑属性。对 26 例成年发作性睡病患者和 30 例匹配的健康对照者进行静息态 fMRI 检查。首先对 MRI 数据进行组独立成分分析,然后应用图论方法评估全脑的拓扑属性。测量小世界网络参数和节点拓扑属性。选择组间脑区改变的拓扑属性作为感兴趣区种子,然后比较组间这些种子之间的功能连接。进行偏相关分析以评估发作性睡病患者嗜睡严重程度与功能连接或拓扑属性之间的关系。从 48 个独立成分中获得 21 个。与健康对照组相比,发作性睡病患者的执行网络和突显网络内的功能连接显著降低,而执行网络内双侧额叶的功能连接增加。患者和对照组之间的小世界网络特性没有差异。组间节点拓扑属性改变的脑区主要位于额下回、基底节、前扣带回、感觉皮层、辅助运动区和视觉皮层。在偏相关分析中,纹状体、前扣带回和感觉皮层的节点拓扑属性以及这些区域之间的功能连接与发作性睡病患者的嗜睡严重程度(睡眠潜伏期、快速眼动睡眠潜伏期和 Epworth 嗜睡评分)相关。发作性睡病患者的执行和突显网络内的连接发生改变。左侧额叶和左侧尾状核之间的功能连接变化可能是描述发作性睡病严重程度的参数之一。左侧壳核和左侧后扣带回的节点拓扑属性变化、左侧辅助运动区和右侧枕叶之间的功能连接变化以及左侧前扣带回和双侧中央后回之间的功能连接变化可以作为评估发作性睡病严重程度的特定指标。