Liang Shengpeng, Cheng Yihong, Du Shixu, Paudel Dhirendra, Xu Yan, Zhang Bin
Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, No.1838 North Guangzhou Avenue, Guangzhou, China.
Key Laboratory of Mental Health of the Ministry of Education, Beijing, China.
Brain Topogr. 2025 Mar 29;38(3):40. doi: 10.1007/s10548-025-01114-1.
The primary distinction between narcolepsy type 1 (NT1) and narcolepsy type 2 (NT2) is the presence or absence of cataplexy, which is commonly determined through clinical interviews, though it can be prone to error due to vague patients descriptions.
This study aimed to investigate EEG microstate differences between NT1 and NT2 and their correlation with clinical assessments.
Polysomnography (PSG) and the Multiple Sleep Latency Test (MSLT) were performed on 14 NT1 and 13 NT2 patients from three hospitals, with data from the ISRUC-SLEEP dataset serving as the comparison group. After EEG preprocessing, we performed the spectral analysis in NT1 and NT2, followed by microstate analysis. Grand mean maps were used for backfitting to obtain microstate parameters. Then, Spearman correlation was performed between the microstate parameters and the ESS and MSLT parameters.
We found that the relative delta power in N2 was lower in the NT1 group compared to the NT2 group. Four microstates were clustered in all groups, and no statistical differences were observed in the microstate parameters between NT1 and NT2 groups. In the NT1 group, microstate D during wakefulness showed a positive correlation with ESS, while in the NT2 group, microstate D during wakefulness showed a negative correlation with ESS.
There are spectral differences between the NT1 and NT2 groups, and the opposite correlation between microstate D and ESS during wakefulness in NT1 and NT2 suggest that the underlying mechanisms leading to excessive daytime sleepiness in the two groups may be different.
1型发作性睡病(NT1)和2型发作性睡病(NT2)的主要区别在于是否存在猝倒,这通常通过临床访谈来确定,不过由于患者描述模糊,可能容易出错。
本研究旨在调查NT1和NT2之间的脑电图微状态差异及其与临床评估的相关性。
对来自三家医院的14例NT1患者和13例NT2患者进行多导睡眠图(PSG)和多次睡眠潜伏期试验(MSLT),以ISRUC-SLEEP数据集的数据作为对照组。在脑电图预处理后,我们对NT1和NT2进行了频谱分析,随后进行微状态分析。使用总平均图进行反向拟合以获得微状态参数。然后,在微状态参数与ESS和MSLT参数之间进行Spearman相关性分析。
我们发现,与NT2组相比,NT1组N2期的相对δ功率较低。所有组均聚类出四种微状态,NT1组和NT2组之间的微状态参数未观察到统计学差异。在NT1组中,清醒时的微状态D与ESS呈正相关,而在NT2组中,清醒时的微状态D与ESS呈负相关。
NT1组和NT2组之间存在频谱差异,NT1组和NT2组清醒时微状态D与ESS之间的相反相关性表明,两组导致白天过度嗜睡的潜在机制可能不同。