Hemispheric Complementarity in Hippocampal Theta Dynamics during Mnemonic Decision-Making.

Pei L Robins, Jessica R Gilbert, Bruce Luber, Nadia Mustafa, Eesha Bharti, Jeffrey D Stout, Frederick W Carver, Zhi-De Deng
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Abstract

A core function of episodic memory is to distinguish between overlapping experiences by converting similar inputs into distinct, non-overlapping representations-a process termed pattern separation. While anatomical models emphasize the role of specific hippocampal subfields, particularly the dentate gyrus, CA3, and CA1, less is known about how these computations unfold over time and influence memory-based decisions. Here, we use source-localized magnetoencephalography and computational modeling to examine how theta oscillations from the hippocampus as a whole are related to evidence accumulation during mnemonic discrimination. Participants performed the Mnemonic Similarity Task, in which they classified repeat, lure, and foil images as "old," "similar," or "new." We fit a hierarchical Linear Ballistic Accumulator model to behavioral data, estimating trial-by-trial drift rates-a latent index of mnemonic evidence accumulation-and examined whether hippocampal theta power predicted these dynamics. Theta power in the left hippocampus was positively associated with drift toward "new" responses across stimulus conditions, consistent with a novelty-oriented decision bias. In contrast, right hippocampal theta showed negative associations with drift toward familiarity-driven false alarms to foil items, suggesting a complementary mechanism that curtails evidence accumulation based on false familiarity. Both hemispheres showed positive theta-drift associations during correct "similar" responses, implicating bilateral coordination in successful discrimination. Event-related source activity confirmed reliable hippocampal engagement despite the anatomical depth of the source. These findings reveal a dynamic, lateralized mechanism by which hippocampal theta oscillations shape memory-guided decisions, offering new insight into how the brain resolves mnemonic uncertainty in real time.

记忆决策过程中海马θ波动态的半球互补性。
情景记忆的一个核心功能是通过将相似的输入转换成不同的、不重叠的表征来区分重叠的经历——这一过程被称为模式分离。虽然解剖模型强调了特定海马亚区,特别是齿状回、CA3和CA1的作用,但对于这些计算如何随着时间的推移而展开并影响基于记忆的决策,我们所知甚少。在这里,我们使用源定位脑磁图和计算模型来研究海马体的θ波振荡如何作为一个整体与助记辨别过程中的证据积累有关。参与者完成了记忆相似性任务,在这个任务中,他们将重复、引诱和陪衬图像分为“旧的”、“相似的”和“新的”。我们将一个分层线性弹道累加器模型拟合到行为数据中,估计每次试验的漂移率——助记证据积累的潜在指数——并检查海马体θ波功率是否预测了这些动态。左侧海马体的θ波能量与在刺激条件下向“新”反应的漂移呈正相关,这与新颖性导向的决策偏差一致。相反,右侧海马体θ波与向熟悉性驱动的虚假警报漂移呈负相关,表明存在一种互补机制,可以减少基于错误熟悉性的证据积累。在正确的“相似”反应中,两个半球都显示出积极的theta-漂移关联,这意味着在成功的区分中,双方的协调。事件相关的源活动证实了可靠的海马参与,尽管源的解剖深度。这些发现揭示了一种动态的、侧化的机制,海马体θ波振荡通过这种机制形成记忆引导的决策,为大脑如何实时解决记忆的不确定性提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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