Personalized targeted memory reactivation enhances consolidation of challenging memories via slow wave and spindle dynamics
Gi-Hwan Shin, Young-Seok Kweon, Seungwon Oh, Seong-Whan Lee

TL;DR
This study introduces a personalized targeted memory reactivation protocol during sleep that adapts to individual learning differences, significantly improving consolidation of difficult memories by enhancing specific neural oscillations.
Contribution
The paper presents a novel personalized TMR method that adjusts stimulation based on individual performance, leading to better memory retention and neural synchronization compared to standard TMR.
Findings
Personalized TMR reduces memory decay for challenging memories.
Enhanced slow wave and spindle synchronization observed with personalized TMR.
Neural signatures linked to improved memory performance identified.
Abstract
Sleep is crucial for memory consolidation, underpinning effective learning. Targeted memory reactivation (TMR) can strengthen neural representations by re-engaging learning circuits during sleep. However, TMR protocols overlook individual differences in learning capacity and memory trace strength, limiting efficacy for difficult-to-recall memories. Here, we present a personalized TMR protocol that adjusts stimulation frequency based on individual retrieval performance and task difficulty during a word-pair memory task. In an experiment comparing personalized TMR, TMR, and control groups, the personalized protocol significantly reduced memory decay and improved error correction under challenging recall. Electroencephalogram (EEG) analyses revealed enhanced synchronization of slow waves and spindles, with a significant positive correlation between behavioral and EEG features for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSleep and Wakefulness Research · Sleep and related disorders · EEG and Brain-Computer Interfaces
