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静息状态下 alpha 振荡的功率和时频动态可区分涉及持续和相位型认知控制的认知表现。

Power and temporal dynamics of alpha oscillations at rest differentiate cognitive performance involving sustained and phasic cognitive control.

机构信息

Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Institute for Biomagnetism and Biosignal analysis, University of Muenster, Muenster, Germany.

Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

出版信息

Neuroimage. 2019 Mar;188:135-144. doi: 10.1016/j.neuroimage.2018.12.001. Epub 2018 Dec 2.

Abstract

Resting state neuronal activity in EEG/MEG recordings is primarily characterized by the presence of alpha oscillations (approx. 8-12 Hz). However, their functional significance and link to cognitive task performance remains elusive. We investigated resting state neuronal activity and its relation to task performance by assessing traditional measures of alpha activity (power and individual alpha peak frequency) and dynamic properties of the signal measured by long-range temporal correlations (LRTC). Multichannel EEG was recorded at rest in 82 healthy male adults and compared to their cognitive performance, measured by tests involving executive functions, working memory, short- and long-term memory demands. Our results showed that attention-span scores positively correlated with alpha power at rest, with corresponding neuronal sources located primarily in the left-hemispheric anterior cingulate cortex, parietal regions, and bilateral suplementary motor areas. Furthermore, better working memory performance was related to increased LRTC of alpha oscillations at rest in the right hemispheric fronto-parietal, temporal, and occipital regions. Our findings suggest that resting state neuronal activity may reflect properties of brain networks that are functionally relevant for cognitive task performance. While alpha power measured at rest might relate to tasks that employ sustained inhibitory control, LRTC are suggested to reflect the capacity of neuronal networks to perform tasks that require phasic attention and quick adaptation to changing task demands.

摘要

静息状态脑电图/脑磁图记录中的神经元活动主要表现为 alpha 振荡(约 8-12 Hz)。然而,它们的功能意义及其与认知任务表现的联系仍然难以捉摸。我们通过评估 alpha 活动的传统测量指标(功率和个体 alpha 峰频率)以及通过长程时间相关性(LRTC)测量的信号的动态特性,研究了静息状态的神经元活动及其与任务表现的关系。在 82 名健康男性成年人的静息状态下记录了多通道脑电图,并将其与涉及执行功能、工作记忆、短期和长期记忆需求的测试的认知表现进行了比较。我们的结果表明,注意力跨度评分与静息时的 alpha 功率呈正相关,相应的神经元源主要位于左半球前扣带回皮质、顶叶区域和双侧辅助运动区。此外,更好的工作记忆表现与右半球额顶叶、颞叶和枕叶区域静息时 alpha 振荡的 LRTC 增加有关。我们的发现表明,静息状态神经元活动可能反映了与认知任务表现相关的大脑网络的特性。虽然静息时测量的 alpha 功率可能与需要持续抑制控制的任务有关,但 LRTC 被认为反映了神经元网络执行需要相位注意和快速适应变化任务需求的任务的能力。

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