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海马模式的可分离性可预测前额叶对上下文任务需求的恢复。

Prefrontal reinstatement of contextual task demand is predicted by separable hippocampal patterns.

机构信息

Department of Psychology, Stanford University, Stanford, CA, 94305, USA.

Psychology Department, University of Oregon, Eugene, OR, 97401, USA.

出版信息

Nat Commun. 2020 Apr 28;11(1):2053. doi: 10.1038/s41467-020-15928-z.

Abstract

Goal-directed behavior requires the representation of a task-set that defines the task-relevance of stimuli and guides stimulus-action mappings. Past experience provides one source of knowledge about likely task demands in the present, with learning enabling future predictions about anticipated demands. We examine whether spatial contexts serve to cue retrieval of associated task demands (e.g., context A and B probabilistically cue retrieval of task demands X and Y, respectively), and the role of the hippocampus and dorsolateral prefrontal cortex (dlPFC) in mediating such retrieval. Using 3D virtual environments, we induce context-task demand probabilistic associations and find that learned associations affect goal-directed behavior. Concurrent fMRI data reveal that, upon entering a context, differences between hippocampal representations of contexts (i.e., neural pattern separability) predict proactive retrieval of the probabilistically dominant associated task demand, which is reinstated in dlPFC. These findings reveal how hippocampal-prefrontal interactions support memory-guided cognitive control and adaptive behavior.

摘要

目标导向行为需要对任务集进行表示,该任务集定义了刺激的任务相关性,并指导刺激-动作映射。过去的经验提供了一种关于当前可能任务需求的知识来源,学习使人们能够对预期的需求进行未来预测。我们研究了空间背景是否有助于提示检索相关的任务需求(例如,背景 A 和 B 分别概率性地提示检索任务需求 X 和 Y),以及海马体和背外侧前额叶皮层(dlPFC)在介导这种检索中的作用。使用 3D 虚拟环境,我们诱导了上下文-任务需求的概率关联,并发现学习到的关联会影响目标导向行为。同时进行的 fMRI 数据显示,进入一个背景后,海马体对背景的表示(即神经模式可分离性)之间的差异可以预测与概率上占主导地位的相关任务需求的主动检索,这种需求在 dlPFC 中得到恢复。这些发现揭示了海马体-前额叶相互作用如何支持记忆引导的认知控制和适应性行为。

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