老年痴呆风险人群工作记忆的神经生理学和其他特征

IF 3.1 3区 工程技术 Q2 NEUROSCIENCES
Cognitive Neurodynamics Pub Date : 2024-06-01 Epub Date: 2023-03-04 DOI:10.1007/s11571-023-09938-y
Rachel A Patterson, Heather Brooks, Mina Mirjalili, Neda Rashidi-Ranjbar, Reza Zomorrodi, Daniel M Blumberger, Corinne E Fischer, Alastair J Flint, Ariel Graff-Guerrero, Nathan Herrmann, James L Kennedy, Sanjeev Kumar, Krista L Lanctôt, Linda Mah, Benoit H Mulsant, Bruce G Pollock, Aristotle N Voineskos, Wei Wang, Tarek K Rajji
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引用次数: 0

摘要

θ-γ耦合(TGC)是一种支持工作记忆的神经生理过程。工作记忆与其他临床和生物学特征相关。TGC 在多大程度上与这些其他特征相关,以及它对工作记忆的贡献是否超出了这些特征,目前还不得而知。有阿尔茨海默氏症痴呆风险的 23 名老年参与者--98 人患有轻度认知障碍(MCI),39 人患有缓解期重度抑郁障碍(MDD),66 人患有 MCI 和 MDD(MCI + MDD)--完成了临床评估、N-back-EEG 和脑核磁共振成像。其中190人完成了基因检测,121人完成了[11C] 匹兹堡化合物B([11C] PIB)PET成像。采用层次线性回归评估 TGC 是否与人口统计学和临床变量、阿尔茨海默病相关特征(APOE ε4携带者状态和β-淀粉样蛋白负荷)以及工作记忆相关结构特征有关。然后,通过线性回归评估在考虑这些特征后,TGC是否与2-back表现相关。除年龄外,TGC与任何非神经生理学特征均无关联。相反,TGC(β = 0.27;p = 0.006)、年龄(β = - 0.29;p = 0.012)和顶叶皮层厚度(β = 0.24;p = 0.020)与 2 回表现相关。我们还研究了与工作记忆相关的另外两个脑电图特征--θ事件相关同步和α事件相关非同步--发现在考虑TGC后,它们与任何特征或成绩都无关。我们的研究结果表明,TGC是一个独立于其他临床、遗传、神经化学和结构变量的过程,它支持有痴呆风险的老年人的工作记忆:在线版本包含补充材料,可在10.1007/s11571-023-09938-y上获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neurophysiological and other features of working memory in older adults at risk for dementia.

Theta-gamma coupling (TGC) is a neurophysiological process that supports working memory. Working memory is associated with other clinical and biological features. The extent to which TGC is associated with these other features and whether it contributes to working memory beyond these features is unknown. Two-hundred-and-three older participants at risk for Alzheimer's dementia-98 with mild cognitive impairment (MCI), 39 with major depressive disorder (MDD) in remission, and 66 with MCI and MDD (MCI + MDD)-completed a clinical assessment, N-back-EEG, and brain MRI. Among them, 190 completed genetic testing, and 121 completed [11C] Pittsburgh Compound B ([11C] PIB) PET imaging. Hierarchical linear regressions were used to assess whether TGC is associated with demographic and clinical variables; Alzheimer's disease-related features (APOE ε4 carrier status and β-amyloid load); and structural features related to working memory. Then, linear regressions were used to assess whether TGC is associated with 2-back performance after accounting for these features. Other than age, TGC was not associated with any non-neurophysiological features. In contrast, TGC (β = 0.27; p = 0.006), age (β = - 0.29; p = 0.012), and parietal cortical thickness (β = 0.24; p = 0.020) were associated with 2-back performance. We also examined two other EEG features that are linked to working memory-theta event-related synchronization and alpha event-related desynchronization-and found them not to be associated with any feature or performance after accounting for TGC. Our findings suggest that TGC is a process that is independent of other clinical, genetic, neurochemical, and structural variables, and supports working memory in older adults at risk for dementia.

Supplementary information: The online version contains supplementary material available at 10.1007/s11571-023-09938-y.

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来源期刊
Cognitive Neurodynamics
Cognitive Neurodynamics 医学-神经科学
CiteScore
6.90
自引率
18.90%
发文量
140
审稿时长
12 months
期刊介绍: Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.
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