Targeted memory reactivation in human REM sleep elicits detectable reactivation

Abstract

It is now well established that memories can reactivate during non-rapid eye movement sleep (non-REM), but the question of whether equivalent reactivation can be detected in rapid eye movement (REM) sleep is hotly debated. To examine this, we used a technique called targeted memory reactivation (TMR) in which sounds are paired with learned material in wake, and then re-presented in subsequent sleep, in this case REM, to trigger reactivation. We then used machine learning classifiers to identify reactivation of task related motor imagery from wake in REM sleep. Interestingly, the strength of measured reactivation positively predicted overnight performance improvement. These findings provide the first evidence for memory reactivation in human REM sleep after TMR that is directly related to brain activity during wakeful task performance.

Data availability

Data availabilityAll relevant data generated or analysed are available along with Matlab scripts. Data are available at the Open Science Framework (OSF):https://osf.io/wmyae/?view_only=5bd3badf3acb46a88a209dbed57c1a85https://osf.io/fq7v5/?view_only=02380297e8334391ab9b473e4efe7d0c

The following data sets were generated

Article and author information

Author details

  1. Mahmoud EA Abdellahi

    School of Psychology, Cardiff University, Cardiff, United Kingdom
    For correspondence
    AbdellahiMe@cardiff.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7765-9028
  2. Anne CM Koopman

    School of Psychology, Cardiff University, Cardiff, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  3. Matthias S Treder

    School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  4. Penelope A Lewis

    School of Psychology, Cardiff University, Cardiff, United Kingdom
    For correspondence
    lewisp8@cardiff.ac.uk
    Competing interests
    The authors declare that no competing interests exist.

Funding

ERC (681607)

  • Penelope A Lewis

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Laura L Colgin, University of Texas at Austin, United States

Ethics

Human subjects: This study was approved by the School of Psychology, Cardiff University Research Ethics Committee, and all participants gave written informed consents. Information of the participants are anonymised. Reference: EC.16.11.08.4772RA2. Risk Assessment: 1479917576_1583

Version history

  1. Preprint posted: December 2, 2021 (view preprint)
  2. Received: October 19, 2022
  3. Accepted: June 22, 2023
  4. Accepted Manuscript published: June 23, 2023 (version 1)
  5. Version of Record published: August 14, 2023 (version 2)

Copyright

© 2023, Abdellahi et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,423
    views
  • 191
    downloads
  • 8
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Mahmoud EA Abdellahi
  2. Anne CM Koopman
  3. Matthias S Treder
  4. Penelope A Lewis
(2023)
Targeted memory reactivation in human REM sleep elicits detectable reactivation
eLife 12:e84324.
https://doi.org/10.7554/eLife.84324

Share this article

https://doi.org/10.7554/eLife.84324

Further reading

    1. Neuroscience
    Daniel Hoops, Robert Kyne ... Cecilia Flores
    Short Report

    Dopamine axons are the only axons known to grow during adolescence. Here, using rodent models, we examined how two proteins, Netrin-1 and its receptor, UNC5C, guide dopamine axons toward the prefrontal cortex and shape behaviour. We demonstrate in mice (Mus musculus) that dopamine axons reach the cortex through a transient gradient of Netrin-1-expressing cells – disrupting this gradient reroutes axons away from their target. Using a seasonal model (Siberian hamsters; Phodopus sungorus) we find that mesocortical dopamine development can be regulated by a natural environmental cue (daylength) in a sexually dimorphic manner – delayed in males, but advanced in females. The timings of dopamine axon growth and UNC5C expression are always phase-locked. Adolescence is an ill-defined, transitional period; we pinpoint neurodevelopmental markers underlying this period.

    1. Neuroscience
    Baba Yogesh, Georg B Keller
    Research Article

    Acetylcholine is released in visual cortex by axonal projections from the basal forebrain. The signals conveyed by these projections and their computational significance are still unclear. Using two-photon calcium imaging in behaving mice, we show that basal forebrain cholinergic axons in the mouse visual cortex provide a binary locomotion state signal. In these axons, we found no evidence of responses to visual stimuli or visuomotor prediction errors. While optogenetic activation of cholinergic axons in visual cortex in isolation did not drive local neuronal activity, when paired with visuomotor stimuli, it resulted in layer-specific increases of neuronal activity. Responses in layer 5 neurons to both top-down and bottom-up inputs were increased in amplitude and decreased in latency, whereas those in layer 2/3 neurons remained unchanged. Using opto- and chemogenetic manipulations of cholinergic activity, we found acetylcholine to underlie the locomotion-associated decorrelation of activity between neurons in both layer 2/3 and layer 5. Our results suggest that acetylcholine augments the responsiveness of layer 5 neurons to inputs from outside of the local network, possibly enabling faster switching between internal representations during locomotion.