Chen Xi, Li Yingjie, Li Renren, Yuan Xiao, Liu Meng, Zhang Wei, Li Yunxia
School of Communication and Information Engineering, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China.
College of International Education, Shanghai University, Shanghai, China.
Front Aging Neurosci. 2023 Aug 4;15:1142085. doi: 10.3389/fnagi.2023.1142085. eCollection 2023.
Electroencephalographic (EEG) abnormalities are seen in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) with characteristic features of cognitive impairment. The most common findings of EEG features in AD and MCI patients are increased relative power of slow oscillations (delta and theta rhythms) and decreased relative power of fast oscillations (alpha, beta and gamma rhythms). However, impairments in cognitive processes in AD and MCI are not sufficiently reflected by brain oscillatory activity in a particular frequency band. MCI patients are at high risk of progressing to AD. Cross-frequency coupling (CFC), which refers to coupling between different frequency bands, is a crucial tool for comprehending changes in brain oscillations and cognitive performance. CFC features exhibit some specificity in patients with AD and MCI, but a comparison between CFC features in individuals with these disorders is still lacking. The aim of this study was to explore changes in CFC properties in MCI and AD and to explore the relationship between CFC properties and multiple types of cognitive functional performance.
We recorded resting-state EEG (rsEEG) signals in 46 MCI patients, 43 AD patients, and 43 cognitively healthy controls (HCs) and analyzed the changes in CFC as well as the relationship between CFC and scores on clinical tests of cognitive function.
Multiple couplings between low-frequency oscillations and high-frequency oscillations were found to be significantly enhanced in AD patients compared to those of HCs and MCI, while delta-gamma as well as theta-gamma couplings in the right temporal and parietal lobes were significantly enhanced in MCI patients compared to HCs. Moreover, theta-gamma coupling in the right temporal lobe tended to be stronger in MCI patients than in HCs, and it was stronger in AD than in MCI. Multiple CFC properties were found to correlate significantly with various cognitive domains, especially the memory function domain. Overall, these findings suggest that AD and MCI patients must use more neural resources to maintain a resting brain state and that alterations in theta-gamma coupling in the temporal lobe become progressively obvious during disease progression and are likely to be a valuable indicator of MCI and AD pathology.
阿尔茨海默病(AD)和轻度认知障碍(MCI)患者存在脑电图(EEG)异常,并伴有认知障碍的特征性表现。AD和MCI患者脑电图特征最常见的表现是慢振荡(δ波和θ波节律)的相对功率增加,以及快振荡(α波、β波和γ波节律)的相对功率降低。然而,AD和MCI患者认知过程中的损伤并不能充分地通过特定频段的脑振荡活动反映出来。MCI患者进展为AD的风险很高。交叉频率耦合(CFC)是指不同频段之间的耦合,是理解脑振荡变化和认知表现的关键工具。CFC特征在AD和MCI患者中表现出一定的特异性,但目前仍缺乏对这两种疾病个体的CFC特征进行比较。本研究的目的是探讨MCI和AD患者CFC特性的变化,并探究CFC特性与多种类型认知功能表现之间的关系。
我们记录了46例MCI患者、43例AD患者和43例认知健康对照者(HCs)的静息态EEG(rsEEG)信号,并分析了CFC的变化以及CFC与认知功能临床测试分数之间的关系。
与HCs和MCI相比,AD患者低频振荡和高频振荡之间的多种耦合显著增强,而与HCs相比,MCI患者右侧颞叶和顶叶的δ-γ以及θ-γ耦合显著增强。此外,MCI患者右侧颞叶的θ-γ耦合往往比HCs更强,且在AD患者中比MCI患者更强。发现多种CFC特性与各个认知领域显著相关,尤其是记忆功能领域。总体而言,这些发现表明AD和MCI患者必须使用更多的神经资源来维持静息脑状态,并且颞叶中θ-γ耦合的改变在疾病进展过程中变得越来越明显,并且很可能是MCI和AD病理学的一个有价值的指标。