Targeting targeted memory reactivation: Characteristics of cued reactivation in sleep
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-02-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811922009417 |
| _version_ | 1797961242143358976 |
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| author | Mahmoud E.A. Abdellahi Anne C.M. Koopman Matthias S. Treder Penelope A. Lewis |
| author_facet | Mahmoud E.A. Abdellahi Anne C.M. Koopman Matthias S. Treder Penelope A. Lewis |
| author_sort | Mahmoud E.A. Abdellahi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T00:57:03Z |
| format | Article |
| id | doaj.art-de29807166ba4278abe2a3b0180f5d45 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-11T00:57:03Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-de29807166ba4278abe2a3b0180f5d452023-01-05T04:31:23ZengElsevierNeuroImage1095-95722023-02-01266119820Targeting targeted memory reactivation: Characteristics of cued reactivation in sleepMahmoud E.A. Abdellahi0Anne C.M. Koopman1Matthias S. Treder2Penelope A. Lewis3School of Psychology, Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff CF24 4HQ, United Kingdom; Corresponding author.School of Psychology, Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff CF24 4HQ, United KingdomSchool of Computer Science and Informatics, Cardiff University, Cardiff CF24 3AA, United KingdomSchool of Psychology, Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff CF24 4HQ, United KingdomTargeted 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.http://www.sciencedirect.com/science/article/pii/S1053811922009417SleepTargeted memory reactivationSlow wave sleepReactivationClassificationMachine learning |
| spellingShingle | Mahmoud E.A. Abdellahi Anne C.M. Koopman Matthias S. Treder Penelope A. Lewis Targeting targeted memory reactivation: Characteristics of cued reactivation in sleep NeuroImage Sleep Targeted memory reactivation Slow wave sleep Reactivation Classification Machine learning |
| title | Targeting targeted memory reactivation: Characteristics of cued reactivation in sleep |
| title_full | Targeting targeted memory reactivation: Characteristics of cued reactivation in sleep |
| title_fullStr | Targeting targeted memory reactivation: Characteristics of cued reactivation in sleep |
| title_full_unstemmed | Targeting targeted memory reactivation: Characteristics of cued reactivation in sleep |
| title_short | Targeting targeted memory reactivation: Characteristics of cued reactivation in sleep |
| title_sort | targeting targeted memory reactivation characteristics of cued reactivation in sleep |
| topic | Sleep Targeted memory reactivation Slow wave sleep Reactivation Classification Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S1053811922009417 |
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