Targeting targeted memory reactivation: Characteristics of cued reactivation in sleep
- PMID: 36535324
- DOI: 10.1016/j.neuroimage.2022.119820
Targeting targeted memory reactivation: Characteristics of cued reactivation in sleep
Abstract
Targeted memory reactivation (TMR) is a technique in which sensory cues associated with memories during wake are used to trigger memory reactivation during subsequent sleep. The characteristics of such cued reactivation, and the optimal placement of TMR cues, remain to be determined. We built an EEG classification pipeline that discriminated reactivation of right- and left-handed movements and found that cues which fall on the up-going transition of the slow oscillation (SO) are more likely to elicit a classifiable reactivation. We also used a novel machine learning pipeline to predict the likelihood of eliciting a classifiable reactivation after each TMR cue using the presence of spindles and features of SOs. Finally, we found that reactivations occurred either immediately after the cue or one second later. These findings greatly extend our understanding of memory reactivation and pave the way for development of wearable technologies to efficiently enhance memory through cueing in sleep.
Keywords: Classification; Machine learning; Reactivation; Sleep; Slow oscillations; Slow wave sleep; Spindles; Targeted memory reactivation.
Copyright © 2022. Published by Elsevier Inc.
Conflict of interest statement
Declaration of Competing Interest The authors declare no competing interests.
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