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• Original Article •
Abnormal brain network topology during non-rapid eye movement sleep and its correlation with cognitive behavioral abnormalities in narcolepsy type 1
ZHU Xiaoyu  NI Kunlin  TAN Huiwen  LIU Yishu  ZENG Yin  GUO Qiyong  XIAO Li  YU Bing 

Cite this article as: Zhu XY, Ni KL, Tan HW, et al. Abnormal brain network topology during non-rapid eye movement sleep and its correlation with cognitive behavioral abnormalities in narcolepsy type 1[J]. Chin J Magn Reson Imaging, 2021, 12(6): 57-61, 96. DOI:10.12015/issn.1674-8034.2021.06.011.


[Abstract] Objective 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. Materials andMethods 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 3.0 T 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.Results 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 (r=-0.589, P=0.002).Conclusions 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.
[Keywords] magnetic resonance imaging；cognitive dysfunction；graph theory analysis；narcolepsy type 1；functional connectivity；sleep；montreal cognitive assessment Beijing edition

ZHU Xiaoyu1   NI Kunlin1   TAN Huiwen2   LIU Yishu2   ZENG Yin2   GUO Qiyong1   XIAO Li2, 3   YU Bing1*  

1 Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China

2 Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang 110004, China

3 Sleep Medicine Center, Shengjing Hospital of China Medical University, Shenyang 110004, China

Yu B, E-mail: dr.yubing@vip.163.com

Conflicts of interest   None.

This work was part of Key Research and Development Program Project Fund of Liaoning Province (No. 2019JH8/10300006).
Received  2020-12-18
Accepted  2021-03-05
DOI: 10.12015/issn.1674-8034.2021.06.011
Cite this article as: Zhu XY, Ni KL, Tan HW, et al. Abnormal brain network topology during non-rapid eye movement sleep and its correlation with cognitive behavioral abnormalities in narcolepsy type 1[J]. Chin J Magn Reson Imaging, 2021, 12(6): 57-61, 96. DOI:10.12015/issn.1674-8034.2021.06.011.

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