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Time-dependent consolidation mechanisms of durable memory in spaced learning

Psychology

Time-dependent consolidation mechanisms of durable memory in spaced learning

Y. Yang, Z. Huang, et al.

Spaced learning, compared to massed learning, boosts cortical integration and replay—especially in default mode network subsystems—and these signatures predict 1‑month durable memory. This research was conducted by Yifeixue Yang, Ziyi Huang, Yun Yang, Mingxia Fan, and Dazhi Yin.

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~3 min • Beginner • English
Abstract
Emerging studies suggest that time-dependent consolidation enables memory stabilization by promoting memory integration and hippocampal-cortical transfer. Compared to massed learning, how time-dependent consolidation contributes to forming durable memory and what neural signatures predict durable memory in spaced learning remain unclear. We recruited 48 participants who underwent either 3-day spaced learning or 1-day massed learning, and both resting-state and task-based fMRI data were collected in multiple delayed tests (i.e., immediate, 1-week, and 1-month). We use representational similarity analysis to assess neural integration and replay in the hippocampus and default mode network (DMN) subsystems. In contrast with massed learning, spaced learning induces higher neural pattern similarity during immediate retrieval only in DMN subsystems. Particularly, the neural pattern similarity in the dorsal-medial DMN (DMNdm) and medial-temporal DMN subsystems predicts the durable memory defined by 1-month delay. Moreover, we find increased neural replay of durable memory in the DMNdm for spaced learning and in the hippocampus for both spaced and massed learning. Our findings suggest that time-dependent consolidation promotes neural integration and replay in the cortex rather than in the hippocampus, which may underlie the formation of durable memory after spaced learning.
Publisher
Communications Biology
Published On
Apr 01, 2025
Authors
Yifeixue Yang, Ziyi Huang, Yun Yang, Mingxia Fan, Dazhi Yin
Tags
Spaced learning
Massed learning
Memory consolidation
Durable memory
Default mode network
Neural integration
Neural replay
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