Department of Neuroscience, University of Lethbridge, Lethbridge, T1K 3M4 Alberta, Canada.
Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, T6G 2H7 Alberta, Canada.
Philos Trans R Soc Lond B Biol Sci. 2020 May 25;375(1799):20190227. doi: 10.1098/rstb.2019.0227. Epub 2020 Apr 6.
Interaction between hippocampal sharp-wave ripples (SWRs) and UP states, possibly by coordinated reactivation of memory traces, is conjectured to play an important role in memory consolidation. Recently, it was reported that SWRs were differentiated into multiple subtypes. However, whether cortical UP states can also be classified into subtypes is not known. Here, we analysed neural ensemble activity from the medial prefrontal cortex from rats trained to run a spatial sequence-memory task. Application of the hidden Markov model (HMM) with three states to epochs of UP-DOWN oscillations identified DOWN states and two subtypes of UP state (UP-1 and UP-2). The two UP subtypes were distinguished by differences in duration, with UP-1 having a longer duration than UP-2, as well as differences in the speed of population vector (PV) decorrelation, with UP-1 decorrelating more slowly than UP-2. Reactivation of recent memory sequences predominantly occurred in UP-2. Short-duration reactivating UP states were dominated by UP-2 whereas long-duration ones exhibit transitions from UP-1 to UP-2. Thus, recent memory reactivation, if it occurred within long-duration UP states, typically was preceded by a period of slow PV evolution not related to recent experience, and which we speculate may be related to previously encoded information. If that is the case, then the transition from UP-1 to UP-2 subtypes may help gradual integration of recent experience with pre-existing cortical memories by interleaving the two in the same UP state. This article is part of the Theo Murphy meeting issue 'Memory reactivation: replaying events past, present and future'.
海马体尖波涟漪 (SWRs) 与 UP 状态之间的相互作用,可能通过记忆痕迹的协调重激活,被推测在记忆巩固中发挥重要作用。最近,有报道称 SWRs 可分为多个亚型。然而,皮质 UP 状态是否也可以分为亚型尚不清楚。在这里,我们分析了在接受过空间序列记忆任务训练的大鼠的内侧前额叶皮层中的神经集合活动。应用具有三个状态的隐马尔可夫模型 (HMM) 对 UP-DOWN 振荡的时段进行分析,确定了 DOWN 状态和 UP 状态的两种亚型 (UP-1 和 UP-2)。这两种 UP 亚型通过持续时间的差异来区分,其中 UP-1 的持续时间比 UP-2 长,以及群体向量 (PV) 去相关速度的差异,其中 UP-1 的去相关速度比 UP-2 慢。最近记忆序列的重激活主要发生在 UP-2 中。短持续时间的重激活 UP 状态主要由 UP-2 主导,而长持续时间的 UP 状态则表现出从 UP-1 到 UP-2 的转变。因此,如果最近记忆的重激活发生在长持续时间的 UP 状态内,通常会经历一个与最近经验无关的缓慢 PV 演化的时期,我们推测这可能与先前编码的信息有关。如果是这样,那么从 UP-1 到 UP-2 亚型的转变可能有助于通过在相同的 UP 状态中交错两者,将最近的经验逐渐整合到现有的皮质记忆中。本文是 Theo Murphy 会议议题“记忆再激活:重播过去、现在和未来的事件”的一部分。