Center for Cognitive Neuroscience, Duke University, Durham, NC, USA.
Department of Neurobiology, Duke University, Durham, NC, USA.
Nat Commun. 2022 Nov 7;13(1):6729. doi: 10.1038/s41467-022-34459-3.
The hippocampus has been a focus of memory research since H.M's surgery abolished his ability to form new memories, yet its mechanistic role in memory remains debated. Here, we identify a candidate memory mechanism: an anticipatory hippocampal "convergence state", observed while awaiting valuable information, and which predicts subsequent learning. During fMRI, participants viewed trivia questions eliciting high or low curiosity, followed seconds later by its answer. We reasoned that encoding success requires a confluence of conditions, so that hippocampal states more conducive to memory formation should converge in state space. To operationalize convergence of neural states, we quantified the typicality of multivoxel patterns in the medial temporal lobes during anticipation and encoding of trivia answers. We found that the typicality of anticipatory hippocampal patterns increased during high curiosity. Crucially, anticipatory hippocampal pattern typicality increased with dopaminergic midbrain activation and uniquely accounted for the association between midbrain activation and subsequent recall. We propose that hippocampal convergence states may complete a cascade from motivation and midbrain activation to memory enhancement, and may be a general predictor of memory formation.
自 H.M 接受手术导致其丧失形成新记忆的能力以来,海马体一直是记忆研究的焦点,但它在记忆中的机械作用仍存在争议。在这里,我们确定了一个候选记忆机制:一种预期的海马“汇聚状态”,在等待有价值的信息时出现,并且可以预测随后的学习。在 fMRI 期间,参与者观看了引发高或低好奇心的琐事问题,随后几秒钟后显示答案。我们推断,编码成功需要多种条件的融合,因此更有利于记忆形成的海马状态应该在状态空间中汇聚。为了实现神经状态的汇聚,我们量化了在琐事答案的预测和编码期间内侧颞叶中多体素模式的典型性。我们发现,在高好奇心期间,预测性海马模式的典型性增加。至关重要的是,预测性海马模式的典型性随着中脑多巴胺能激活而增加,并且可以独特地解释中脑激活与随后的回忆之间的关联。我们提出,海马汇聚状态可能完成了从动机和中脑激活到记忆增强的级联反应,并且可能是记忆形成的一般预测因子。