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轻度认知障碍患者工作记忆编码过程中脑电图θ波和α波功能连接的改变

Altered EEG Theta and Alpha Band Functional Connectivity in Mild Cognitive Impairment During Working Memory Coding.

作者信息

Jiang Yi, Zhang Xin, Guo Zhiwei, Jiang Ning

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2024;32:2845-2853. doi: 10.1109/TNSRE.2024.3417617. Epub 2024 Aug 12.

Abstract

Individuals with mild cognitive impairment (MCI), the preclinical stage of Alzheimer disease (AD), suffer decline in their visual working memory (WM) functions. Using large-scale network analysis of electroencephalography (EEG), the current study intended to investigate if there are differences in functional connectivity properties extracted during visual WM coding stages between MCI patients and normal controls (NC). A total of 21 MCI patients and 20 NC performed visual memory tasks of load four, while 32-channel EEG recordings were acquired. The functional connectivity properties were extracted from the acquired EEGs by the directed transform function (DTF) via spectral Granger causal analysis. Brain network analyses revealed distinctive brain network patterns between the two groups during the WM coding stage. Compared with the NC, MCI patients exhibited a reduced visual network connectivity of the frontal-temporal in θ (4-7Hz) band. A likely compensation mechanism was observed in MCI patients, with a strong brain functional connectivity of the frontal-occipital and parietal-occipital in both θ and α (8-13Hz) band. Further analyses of the network core node properties based on the differential brain network showed that, in θ band, there was a significant difference in the out-degree of the frontal lobe and parietal lobe between the two groups, while in α band, such difference was located only in the parietal lobe. The current study found that, in MCI patients, dysconnectivity is found from the prefrontal lobe to bilateral temporal lobes, leading to increased recruitment of functional connectivity in the frontal-occipital and parietal-occipital direction. The dysconnectivity pattern of MCI is more complex and primarily driven by core nodes Pz and Fz. These results significantly expanded previous knowledge of MCI patients' EEG dynamics during WM tasks and provide new insights into the underpinning neural mechanism MCI. It further provided a potential therapeutic target for clinical interventions of the condition.

摘要

轻度认知障碍(MCI)患者处于阿尔茨海默病(AD)的临床前期,其视觉工作记忆(WM)功能会出现衰退。本研究通过对脑电图(EEG)进行大规模网络分析,旨在探究MCI患者与正常对照(NC)在视觉WM编码阶段提取的功能连接特性是否存在差异。共有21名MCI患者和20名NC执行了负载为4的视觉记忆任务,同时采集了32通道的EEG记录。通过基于频谱格兰杰因果分析的定向变换函数(DTF)从采集到的EEG中提取功能连接特性。脑网络分析揭示了两组在WM编码阶段不同的脑网络模式。与NC相比,MCI患者在θ(4 - 7Hz)频段的额颞视觉网络连接性降低。在MCI患者中观察到一种可能的补偿机制,即在θ和α(8 - 13Hz)频段,额枕和顶枕之间存在较强的脑功能连接。基于差异脑网络对网络核心节点特性的进一步分析表明,在θ频段,两组额叶和顶叶的出度存在显著差异,而在α频段,这种差异仅位于顶叶。本研究发现,MCI患者存在从额叶前部到双侧颞叶的连接障碍,导致额枕和顶枕方向的功能连接募集增加。MCI的连接障碍模式更为复杂,主要由核心节点Pz和Fz驱动。这些结果显著扩展了以往关于MCI患者在WM任务期间EEG动力学的认识,并为MCI潜在的神经机制提供了新的见解。它还为该疾病的临床干预提供了一个潜在的治疗靶点。

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