School of Communication and Information Engineering, Shanghai University, Shanghai, PR China; Shanghai Institute for Advanced Communication and Data Science, Shanghai, PR China.
School of Communication and Information Engineering, Shanghai University, Shanghai, PR China; Shanghai Institute for Advanced Communication and Data Science, Shanghai, PR China.
Clin Neurophysiol. 2021 Nov;132(11):2861-2869. doi: 10.1016/j.clinph.2021.08.015. Epub 2021 Sep 8.
Resting-state EEG microstate is a promising neurophysiological tool to explore the temporal dynamics of cognitive activity. Till now, the microstate syntax is far from being fully understood in mild cognitive impairment (MCI) and Alzheimer's disease (AD). We aim to investigate the possible explanation for the alterations of transition probabilities in microstate syntax between different stages of cognitive impairment.
The artefact-corrected resting-state EEG in patients with MCI (n = 46), AD (n = 43) and healthy controls (HC, n = 43) were used for microstate analysis. Four microstates were labeled A-D according to the study (Koenig et al., 2002).
Microstate duration, occurrence and coverage showed overall differences between HC, MCI and AD. Duration and coverage B increased significantly in AD compared with HC and MCI. Coverage C decreased significantly in AD compared with MCI. Microstate syntax had specialized single transitions in MCI and AD. Transitions between symmetrical (C and D) and asymmetrical (A and B) classes showed a decreased pattern. It was only in MCI that an increased transition from A to C was found and only in AD an increased transition from A to B was found. Besides, a negative spearman's correlation was found between the transition probability from A to B and Mini-Mental State Examination (MMSE) scores.
Altered resting-state EEG microstates in particular specialized single transitions in microstate syntax were showed in MCI and AD.
For the first time, we discovered which single transitions between pairs of microstates play an important role in microstate syntax in different stages of cognitive impairment.
静息态 EEG 微观状态是探索认知活动时间动态的一种很有前途的神经生理学工具。到目前为止,轻度认知障碍(MCI)和阿尔茨海默病(AD)中的微观状态语法远未被完全理解。我们旨在研究认知障碍不同阶段之间微观状态语法中转移概率变化的可能原因。
使用患者的校正后静息态 EEG 进行微状态分析,患者包括 MCI(n=46)、AD(n=43)和健康对照组(HC,n=43)。根据研究(Koenig 等人,2002 年),将四个微观状态标记为 A-D。
微观状态持续时间、出现和覆盖在 HC、MCI 和 AD 之间存在总体差异。AD 中的 B 持续时间和覆盖显著增加,与 HC 和 MCI 相比。AD 中的 C 覆盖显著减少,与 MCI 相比。MCI 和 AD 具有专门的单转移。对称(C 和 D)和不对称(A 和 B)类之间的转移显示出减少的模式。仅在 MCI 中发现从 A 到 C 的转移增加,仅在 AD 中发现从 A 到 B 的转移增加。此外,还发现 A 到 B 的转移概率与简易精神状态检查(MMSE)评分之间存在负 Spearman 相关。
在 MCI 和 AD 中,观察到静息态 EEG 微观状态特别是微观状态语法中的特殊单转移发生改变。
我们首次发现了在认知障碍的不同阶段,哪些微状态之间的特定单转移对微状态语法起着重要作用。