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海马体细胞集合的网络动力学类似于单个任务中的多个空间图谱。

Network dynamics of hippocampal cell-assemblies resemble multiple spatial maps within single tasks.

作者信息

Jackson Jadin, Redish A David

机构信息

Graduate Program in Neuroscience, University of Minnesota, Minnneapolis, Minnesota, USA.

出版信息

Hippocampus. 2007;17(12):1209-29. doi: 10.1002/hipo.20359.

DOI:10.1002/hipo.20359
PMID:17764083
Abstract

The firing of place cells in the rodent hippocampus is reliable enough to infer the rodent's position to a high accuracy; however, hippocampal firing also reflects the stages of complex tasks. Theories have suggested that these task-stage responses may reflect changes in reference frame related to task-related subgoals. If the hippocampus represents an environment in multiple ways depending on a task's demands, then switching between these cell assemblies should be detectable as a switch in spatial maps or reference frames. Place cells exhibit extreme temporal variability or "overdispersion," which Fenton et al. suggest reflects changes in active cell-assemblies. If reference-frame switching exists, investigating the relationship of the single cell variability described by Fenton and colleagues to network level processes provides an entry point to understanding the relationship between cell-assembly-like mechanisms and an animal's behavior. We tested the cell-assembly explanation for overdispersion by recording hippocampal neural ensembles from rats running three tasks of varying spatial complexity: linear track (LT), cylinder-foraging (CF), and cylinder-goal (CG). Consistent with the reports by Fenton and colleagues, hippocampal place cells showed high variance in their firing rates across place field passes on the CF and CG tasks. The directional firing of hippocampal place cells on LT provided a test of the reference-frame hypothesis: ignoring direction produced overdispersion similar to the CF and CG tasks; taking direction into account produced a significant decrease in overdispersion. To directly examine the possibility of a network modulation of cell-assemblies, we clustered the firing patterns within each pixel and chained them together to construct whole-environment spatial firing maps. Maps were internally self-consistent, switching with mean rates of several hundred milliseconds. There were significant increases in map-switching rates following reward-related events on the LT and CG tasks, but not on the CF task. Our results link single cell variability with network-level processes and imply that hippocampal spatial representations are made up of multiple, continuous sub-maps, the selection of which depends on the animal's goals when reward is tied to the animal's spatial behavior.

摘要

啮齿动物海马体中位置细胞的放电足够可靠,能够高精度地推断出啮齿动物的位置;然而,海马体放电也反映了复杂任务的各个阶段。理论表明,这些任务阶段反应可能反映了与任务相关子目标有关的参考系变化。如果海马体根据任务需求以多种方式表征一个环境,那么在这些细胞集合之间的切换应该可以作为空间地图或参考系中的切换被检测到。位置细胞表现出极大的时间变异性或“过度离散”,芬顿等人认为这反映了活跃细胞集合的变化。如果存在参考系切换,研究芬顿及其同事所描述的单细胞变异性与网络层面过程之间的关系,为理解类似细胞集合机制与动物行为之间的关系提供了一个切入点。我们通过记录大鼠在执行三种空间复杂度不同的任务时的海马神经集群,来测试关于过度离散的细胞集合解释:直线轨道(LT)、圆柱体觅食(CF)和圆柱体目标(CG)任务。与芬顿及其同事的报告一致,海马体位置细胞在CF和CG任务的位置野遍历中,其放电率表现出高方差。LT任务中海马体位置细胞的定向放电为参考系假说提供了一项测试:忽略方向会产生与CF和CG任务类似的过度离散;考虑方向则会使过度离散显著降低。为了直接检验细胞集合的网络调制可能性,我们对每个像素内的放电模式进行聚类,并将它们链接在一起以构建全环境空间放电图。这些地图在内部是自洽的,以几百毫秒的平均速率切换。在LT和CG任务中,奖励相关事件后地图切换速率显著增加,但在CF任务中没有。我们的结果将单细胞变异性与网络层面过程联系起来,并暗示海马体空间表征由多个连续的子地图组成,当奖励与动物的空间行为相关联时,子地图的选择取决于动物的目标。

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