Department of Epileptology, University of Bonn, D-53127 Bonn, Germany, Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 HR Nijmegen, The Netherlands, Helmholtz Institute for Radiation and Nuclear Physics, University of Bonn, D-53115 Bonn, Germany, Department of Psychology, University of Bonn, 53111 Bonn, Germany, Center for Economics and Neuroscience, University of Bonn, 53127 Bonn, Germany, German Center for Neurodegenerative Diseases (DZNE), 53175 Bonn, Germany.
J Neurosci. 2013 Dec 4;33(49):19373-83. doi: 10.1523/JNEUROSCI.0414-13.2013.
Memory consolidation transforms initially labile memory traces into more stable representations. One putative mechanism for consolidation is the reactivation of memory traces after their initial encoding during subsequent sleep or waking state. However, it is still unknown whether consolidation of individual memory contents relies on reactivation of stimulus-specific neural representations in humans. Investigating stimulus-specific representations in humans is particularly difficult, but potentially feasible using multivariate pattern classification analysis (MVPA). Here, we show in healthy human participants that stimulus-specific activation patterns can indeed be identified with MVPA, that these patterns reoccur spontaneously during postlearning resting periods and sleep, and that the frequency of reactivation predicts subsequent memory for individual items. We conducted a paired-associate learning task with items and spatial positions and extracted stimulus-specific activity patterns by MVPA in a simultaneous electroencephalography and functional magnetic resonance imaging (fMRI) study. As a first step, we investigated the amount of fMRI volumes during rest that resembled either one of the items shown before or one of the items shown as a control after the resting period. Reactivations during both awake resting state and sleep predicted subsequent memory. These data are first evidence that spontaneous reactivation of stimulus-specific activity patterns during resting state can be investigated using MVPA. They show that reactivation occurs in humans and is behaviorally relevant for stabilizing memory traces against interference. They move beyond previous studies because replay was investigated on the level of individual stimuli and because reactivations were not evoked by sensory cues but occurred spontaneously.
记忆巩固将最初不稳定的记忆痕迹转化为更稳定的表示。一种假定的巩固机制是在随后的睡眠或清醒状态中,在初始编码后重新激活记忆痕迹。然而,巩固单个记忆内容是否依赖于人类刺激特异性神经表示的重新激活仍然未知。在人类中研究刺激特异性表示特别困难,但使用多变量模式分类分析 (MVPA) 可能具有潜在的可行性。在这里,我们在健康的人类参与者中表明,确实可以使用 MVPA 识别刺激特异性激活模式,这些模式在学习后休息期间和睡眠期间会自发重现,并且重新激活的频率可以预测单个项目的后续记忆。我们进行了一项配对联想学习任务,使用项目和空间位置,并通过同时进行脑电图和功能磁共振成像 (fMRI) 研究的 MVPA 提取刺激特异性活动模式。作为第一步,我们研究了在休息期间与休息后显示的项目之一或作为对照显示的项目之一相似的 fMRI 体积量。在清醒休息状态和睡眠期间的重新激活均预测了后续的记忆。这些数据首次证明,使用 MVPA 可以研究休息状态下刺激特异性活动模式的自发重新激活。它们表明,重新激活发生在人类中,并且对于稳定记忆痕迹以防止干扰具有行为相关性。它们超越了以前的研究,因为重放是在单个刺激的水平上进行的,并且重新激活不是由感觉线索引起的,而是自发发生的。