Smith Keith M, Starr John M, Escudero Javier, Ibañez Agustin, Parra Mario A
Department of Physics and Mathematics, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
Alzheimer Scotland Dementia Research Centre, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Front Neuroimaging. 2022 Jun 17;1:883968. doi: 10.3389/fnimg.2022.883968. eCollection 2022.
Alzheimer's Disease (AD) shows both complex alterations of functional dependencies between brain regions and a decreased ability to perform Visual Short-Term Memory Binding (VSTMB) tasks. Recent advances in network neuroscience toward understanding the complexity of hierarchical brain function here enables us to establish a link between these two phenomena. Here, we study data on two types of dementia at Mild Cognitive Impairment (MCI) stage-familial AD patients (E280A mutation of the presenilin-1 gene) and elderly MCI patients at high risk of sporadic AD, both with age-matched controls. We analyzed Electroencephalogram (EEG) signals recorded during the performance of Visual Short-Term Memory (VSTM) tasks by these participants. Functional connectivity was computed using the phase-lag index in Alpha and Beta; and network analysis was employed using network indices of hierarchical spread (degree variance) and complexity. Hierarchical characteristics of EEG functional connectivity networks revealed abnormal patterns in familial MCI VSTMB function and sporadic MCI VSTMB function. The middle-aged familial MCI binding network displayed a larger degree variance in lower Beta compared to healthy controls ( = , Cohen's = 1.0124), while the elderly sporadic MCI binding network displayed greater hierarchical complexity in Alpha ( = , Cohen's = 1.1627). Characteristics in healthy aging were not shown to differ. These results indicate that activity in MCI exhibits cross-frequency network reorganization characterized by increased heterogeneity of node roles in the functional hierarchy. Aging itself is not found to cause VSTM functional hierarchy differences.
阿尔茨海默病(AD)既表现出脑区之间功能依赖关系的复杂改变,又表现出执行视觉短期记忆绑定(VSTMB)任务的能力下降。网络神经科学在理解分层脑功能复杂性方面的最新进展使我们能够在这两种现象之间建立联系。在此,我们研究了轻度认知障碍(MCI)阶段的两种痴呆类型的数据——家族性AD患者(早老素-1基因的E280A突变)和散发性AD高风险的老年MCI患者,两者均有年龄匹配的对照组。我们分析了这些参与者在执行视觉短期记忆(VSTM)任务期间记录的脑电图(EEG)信号。使用α和β频段的相位滞后指数计算功能连接性;并使用分层传播(度方差)和复杂性的网络指数进行网络分析。EEG功能连接网络的分层特征揭示了家族性MCI VSTMB功能和散发性MCI VSTMB功能的异常模式。与健康对照组相比,中年家族性MCI绑定网络在较低β频段显示出更大的度方差( = ,科恩氏 = 1.0124),而老年散发性MCI绑定网络在α频段显示出更大的分层复杂性( = ,科恩氏 = 1.1627)。健康衰老的特征未显示出差异。这些结果表明,MCI中的活动表现出跨频率网络重组,其特征是功能层次中节点角色的异质性增加。未发现衰老本身会导致VSTM功能层次差异。