Ma Xiaofen, Jiang Guihua, Fu Shishun, Fang Jin, Wu Yunfan, Liu Mengchen, Xu Guang, Wang Tianyue
Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China.
Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China.
Front Psychiatry. 2018 Feb 21;9:46. doi: 10.3389/fpsyt.2018.00046. eCollection 2018.
Accumulating evidence from neuroimaging studies suggests that primary insomnia (PI) affects interregional neural coordination of multiple interacting functional brain networks. However, a complete understanding of the whole-brain network organization from a system-level perspective in PI is still lacking. To this end, we investigated in topological organization changes in brain functional networks in PI. 36 PI patients and 38 age-, sex-, and education-matched healthy controls were recruited. All participants underwent a series of neuropsychological assessments and resting-state functional magnetic resonance imaging scans. Individual whole-brain functional network were constructed and analyzed using graph theory-based network approaches. There were no significant differences with respect to age, sex, or education between groups ( > 0.05). Graph-based analyses revealed that participants with PI had a significantly higher total number of edges ( = 0.022), global efficiency ( = 0.014), and normalized global efficiency ( = 0.002), and a significantly lower normalized local efficiency ( = 0.042) compared with controls. Locally, several prefrontal and parietal regions, the superior temporal gyrus, and the thalamus exhibited higher nodal efficiency in participants with PI ( < 0.05, false discovery rate corrected). In addition, most of these regions showed increased functional connectivity in PI patients ( < 0.05, corrected). Finally, altered network efficiency was correlated with neuropsychological variables of the Epworth Sleepiness Scale and Insomnia Severity Index in patients with PI. PI is associated with abnormal organization of large-scale functional brain networks, which may account for memory and emotional dysfunction in people with PI. These findings provide novel implications for neural substrates associated with PI.
神经影像学研究积累的证据表明,原发性失眠(PI)会影响多个相互作用的功能性脑网络的区域间神经协调。然而,从系统层面全面理解PI患者的全脑网络组织仍显不足。为此,我们研究了PI患者脑功能网络的拓扑组织变化。招募了36例PI患者和38例年龄、性别及教育程度相匹配的健康对照者。所有参与者均接受了一系列神经心理学评估和静息态功能磁共振成像扫描。使用基于图论的网络方法构建并分析个体全脑功能网络。两组在年龄、性别或教育程度方面无显著差异(>0.05)。基于图的分析显示,与对照组相比,PI患者的边总数(=0.022)、全局效率(=0.014)和标准化全局效率(=0.002)显著更高,而标准化局部效率(=0.042)显著更低。在局部,PI患者的几个前额叶和顶叶区域、颞上回和丘脑表现出更高的节点效率(<0.05,经错误发现率校正)。此外,这些区域中的大多数在PI患者中显示出功能连接增加(<0.05,校正后)。最后,PI患者网络效率的改变与爱泼华嗜睡量表和失眠严重程度指数的神经心理学变量相关。PI与大规模功能性脑网络的异常组织有关,这可能是PI患者记忆和情绪功能障碍的原因。这些发现为与PI相关的神经基质提供了新的启示。