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阿尔法功率在工作记忆更新过程中对相关信息进行门控。

Alpha power gates relevant information during working memory updating.

机构信息

Department of Psychology, Stony Brook University, Stony Brook, New York 11794.

出版信息

J Neurosci. 2014 Apr 23;34(17):5998-6002. doi: 10.1523/JNEUROSCI.4641-13.2014.

Abstract

Human working memory (WM) is inherently limited, so we must filter out irrelevant information in our environment or our mind while retaining limited important relevant contents. Previous work suggests that neural oscillations in the alpha band (8-14 Hz) play an important role in inhibiting incoming distracting information during attention and selective encoding tasks. However, whether alpha power is involved in inhibiting no-longer-relevant content or in representing relevant WM content is still debated. To clarify this issue, we manipulated the amount of relevant/irrelevant information using a task requiring spatial WM updating while measuring neural oscillatory activity via EEG and localized current sources across the scalp using a surface Laplacian transform. An initial memory set of two, four, or six spatial locations was to be memorized over a delay until an updating cue was presented indicating that only one or three locations remained relevant for a subsequent recognition test. Alpha amplitude varied with memory maintenance and updating demands among a cluster of left frontocentral electrodes. Greater postcue alpha power was associated with the high relevant load conditions (six and four dots cued to reduce to three relevant) relative to the lower load conditions (four and two dots reduced to one). Across subjects, this difference in alpha power was correlated with condition differences in performance accuracy. In contrast, no significant effects of irrelevant load were observed. These findings demonstrate that, during WM updating, alpha power reflects maintenance of relevant memory contents rather than suppression of no-longer-relevant memory traces.

摘要

人类工作记忆(WM)的容量是有限的,因此我们必须在环境或思维中过滤掉不相关的信息,同时保留有限的重要相关内容。先前的研究表明,alpha 频段(8-14Hz)的神经振荡在注意和选择性编码任务中抑制传入的分心信息方面起着重要作用。然而,alpha 功率是否参与抑制不再相关的内容,或者是否参与表示相关的 WM 内容,仍存在争议。为了澄清这个问题,我们使用需要空间 WM 更新的任务来操纵相关/不相关信息的数量,同时通过 EEG 测量神经振荡活动,并使用表面拉普拉斯变换在头皮上定位电流源。初始记忆集由两个、四个或六个空间位置组成,在延迟期间进行记忆,直到出现更新提示,表明只有一个或三个位置仍然与后续的识别测试相关。在一簇左额中央电极中,alpha 振幅随记忆维持和更新需求而变化。与较低负荷条件(四个和两个点减少到一个)相比,高相关负荷条件(六个和四个点减少到三个)的后提示 alpha 功率更大。在不同的受试者中,alpha 功率的这种差异与性能准确性的条件差异相关。相比之下,未观察到不相关负荷的显著影响。这些发现表明,在 WM 更新期间,alpha 功率反映了相关记忆内容的维持,而不是不再相关的记忆痕迹的抑制。

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