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静息态网络与记忆巩固。

Resting state networks and memory consolidation.

作者信息

Albert Neil B, Robertson Edwin M, Mehta Puja, Miall R Chris

机构信息

Department of Psychology, The University of Chicago, Chicago, IL, USA.

出版信息

Commun Integr Biol. 2009 Nov;2(6):530-2. doi: 10.4161/cib.2.6.9612.

Abstract

Despite their name, resting state networks (RSNs) provide a clear indication that the human brain may be hard-working. Unlike the cardiac and respiratory systems, which greatly reduce their rate of function during periods of inactivity, the human brain may have additional responsibilities during rest. One particularly intriguing function performed by the resting brain is the consolidation of recent learned information, which is known to take place over a period of several hours after learning. We recently reported that resting state brain activity is modulated by recent learning. We measured the brain activity using functional MRI during periods of rest that preceded and followed learning of a sensorimotor task, and found a network of brain areas that changed their resting activity. These areas are known to be involved in the acquisition and memory of such sensorimotor tasks. Furthermore, the changes were specific to a task that required learning, and were not found after motor performance without learning. Here we discuss the implications and possible extensions of this work and its relevance to the study of memory consolidation.

摘要

尽管名为静息态网络(RSNs),但它们清楚地表明人类大脑可能一直在努力工作。与心脏和呼吸系统不同,后者在不活动期间会大幅降低其功能速率,而人类大脑在休息时可能还有其他职责。静息大脑执行的一项特别有趣的功能是巩固最近学到的信息,已知这一过程在学习后的几个小时内发生。我们最近报告称,静息态脑活动会受到近期学习的调节。我们在学习感觉运动任务之前和之后的休息期间使用功能磁共振成像测量脑活动,发现了一个脑区网络,其静息活动发生了变化。已知这些区域参与此类感觉运动任务的习得和记忆。此外,这些变化特定于需要学习的任务,在没有学习的运动表现后并未发现。在此,我们讨论这项工作的意义、可能的扩展及其与记忆巩固研究的相关性。

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