Zhu Xiaoyu, Ni Kunlin, Tan Huiwen, Liu Yishu, Zeng Yin, Yu Bing, Guo Qiyong, Xiao Li
Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
Front Neurol. 2021 Jan 11;11:617827. doi: 10.3389/fneur.2020.617827. eCollection 2020.
Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) were applied to investigate the abnormalities in the topological characteristics of functional brain networks during non-rapid eye movement(NREM)sleep. And we investigated its relationship with cognitive abnormalities in patients with narcolepsy type 1 (NT1) disorder in the current study. The Beijing version of the Montreal Cognitive Assessment (MoCA-BJ) and EEG-fMRI were applied in 25 patients with NT1 and 25 age-matched healthy controls. All subjects participated in a nocturnal video polysomnography(PSG)study, and total sleep time (TST), percentage of TST (%TST) for each sleep stage and arousal index were calculated. The Epworth Sleepiness Score (ESS) was used to measure the degree of daytime sleepiness. The EEG-fMRI study was performed simultaneously using a 3T MRI system and a 32-channel MRI-compatible EEG system during sleep. Visual scoring of EEG data was used for sleep staging. Cognitive function was assessed for all subjects using the MoCA-BJ. The fMRI data were applied to establish a whole-brain functional connectivity network for all subjects, and the topological characteristics of the whole-brain functional network were analyzed using a graph-theoretic approach. The topological parameters were compared between groups. Lastly, the correlation between topological parameters and the assessment scale using Montreal Cognition was analyzed. The MoCA-BJ scores were lower in patients with NT1 than in normal controls. Whole-brain global efficiency during stage N2 sleep in patients with NT1 displayed significantly lower small-world properties than in normal controls. Whole-brain functional network global efficiency in patients with NT1 was significantly correlated with MoCA-BJ scores. The global efficiency of the functional brain network during stage N2 sleep in patients with NT1 and the correspondingly reduced small-world attributes were associated with cognitive impairment.
同时应用脑电图(EEG)和功能磁共振成像(fMRI)来研究非快速眼动(NREM)睡眠期间功能性脑网络拓扑特征的异常情况。在本研究中,我们调查了发作性睡病1型(NT1)患者的这种异常与认知异常之间的关系。对25例NT1患者和25例年龄匹配的健康对照者进行了中文版蒙特利尔认知评估(MoCA-BJ)和EEG-fMRI检查。所有受试者均参与了夜间视频多导睡眠图(PSG)研究,并计算了总睡眠时间(TST)、每个睡眠阶段的TST百分比(%TST)和觉醒指数。使用爱泼沃斯嗜睡量表(ESS)来衡量白天嗜睡程度。在睡眠期间,使用3T MRI系统和32通道MRI兼容EEG系统同时进行EEG-fMRI研究。EEG数据的视觉评分用于睡眠分期。使用MoCA-BJ对所有受试者的认知功能进行评估。将fMRI数据应用于为所有受试者建立全脑功能连接网络,并使用图论方法分析全脑功能网络的拓扑特征。比较两组之间的拓扑参数。最后,分析拓扑参数与使用蒙特利尔认知评估量表之间的相关性。NT1患者的MoCA-BJ评分低于正常对照组。NT1患者在N2睡眠阶段的全脑全局效率显示出比正常对照组显著更低的小世界特性。NT1患者的全脑功能网络全局效率与MoCA-BJ评分显著相关。NT1患者在N2睡眠阶段功能性脑网络的全局效率以及相应降低的小世界属性与认知障碍有关。