Memory Consolidation Is Linked to Spindle-Mediated Information Processing during Sleep

Scott A Cairney, Anna Á Váli Guttesen, Nicole El Marj, Bernhard P Staresina, Scott A Cairney, Anna Á Váli Guttesen, Nicole El Marj, Bernhard P Staresina

Abstract

How are brief encounters transformed into lasting memories? Previous research has established the role of non-rapid eye movement (NREM) sleep, along with its electrophysiological signatures of slow oscillations (SOs) and spindles, for memory consolidation [1-4]. In related work, experimental manipulations have demonstrated that NREM sleep provides a window of opportunity to selectively strengthen particular memory traces via the delivery of auditory cues [5-10], a procedure known as targeted memory reactivation (TMR). It has remained unclear, however, whether TMR triggers the brain's endogenous consolidation mechanisms (linked to SOs and/or spindles) and whether those mechanisms in turn mediate effective processing of mnemonic information. We devised a novel paradigm in which associative memories (adjective-object and adjective-scene pairs) were selectively cued during a post-learning nap, successfully stabilizing next-day retention relative to non-cued memories. First, we found that, compared to novel control adjectives, memory cues evoked an increase in fast spindles. Critically, during the time window of cue-induced spindle activity, the memory category linked to the verbal cue (object or scene) could be reliably decoded, with the fidelity of this decoding predicting the behavioral consolidation benefits of TMR. These results provide correlative evidence for an information processing role of sleep spindles in service of memory consolidation.

Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Figures

Figure 1
Figure 1
Experimental Paradigm (A) During encoding, participants were presented with 50 adjective-object and 50 adjective-scene combinations (randomly intermixed) and indicated whether the combinations elicited a realistic or bizarre mental image. Prior to encoding, participants performed a familiarization phase for both the adjectives and the images (see STAR Methods). Approximately 5 min after encoding, participants performed the first retrieval session (T1), in which all previously seen (old) adjectives were intermixed with 50 previously unseen (new) adjectives and participants indicated whether they thought the adjective was old or new. In the case of an “old” response, participants were asked whether they also remembered the associated image category (object or scene) or whether they did not remember the associated category (“?” response option). If they indicated “object” or “scene,” another screen appeared (not shown) in which participants could type in a description of the image if they remembered it or simply type in a “?” if they did not. Adjectives were presented visually and acoustically throughout. (B) In the nap group, participants were given the opportunity to sleep for 90 min (monitored with polysomnography). Once they entered late NREM sleep (stages N2 and N3), (1) half of the adjectives for which the object category was remembered at T1, (2) half of the adjectives for which the scene category was remembered at T1, and (3) a matched number of novel adjectives (controls) were continuously played via external speakers (targeted memory reactivation [TMR]). In the wake group, participants started with 30 min of playing the online game Bubble Shooter, followed by 30 min of performing a 1-back working memory task during which TMR was applied, followed again by 30 min of playing Bubble Shooter. (C) After the offline period (T2), participants performed the same test as in T1 but with a new set of 50 lure adjectives. Finally, after a night of sleep, participants returned the next morning (T3) for another retrieval session, again with 50 new lure adjectives. For detailed description of behavioral results, see Tables S1–S3.
Figure 2
Figure 2
Behavior and Evoked Responses (A) Behavioral results at T1 (pre-offline period). Bar graphs show mean (±SEM) accuracy for adjective-category retrieval for the nap group (blue) and the wake group (orange). Note that 50% accuracy is not to be mistaken as chance performance given that participants had a “?” response option (see Figure 1A). (B) Event-related potential (ERP) and time-frequency representation (TFR) evoked by the onset of memory cues. The figure depicts the unthresholded TFR along with the grand average ERP (both collapsed across all channels and then averaged across participants), revealing a strong increase of theta/slow spindle power in the evoked SO down-state followed by an increase in fast spindle power in the ensuing SO up-state. ERP topographies for object, scene, and control stimuli are shown in Figure S1. (C) At T2 and T3, behavioral results are further separated into cued trials (solid fill) and not cued trials (hatched fill), and retrieval accuracy is expressed as proportions retained from the most recent memory assessment (see also Table S2). Stars denote significant effects, ⊗ denotes an interaction effect.
Figure 3
Figure 3
Time-Frequency Representation (A) Time-frequency representation (TFR) difference map of responses elicited by old memory cues versus new control adjectives, with the corresponding ERP for old cues superimposed. (B) Same as (A) but after statistical thresholding (p 

Figure 4

Information Processing Evoked by Memory…

Figure 4

Information Processing Evoked by Memory Cues (A) Time courses (mean ± SEM) of…

Figure 4
Information Processing Evoked by Memory Cues (A) Time courses (mean ± SEM) of within- and between-category similarities in response to old memory cues. Shaded area from 1.76 to 2.06 s highlights a significant increase (p 
Similar articles
Cited by
References
    1. Marshall L., Helgadóttir H., Mölle M., Born J. Boosting slow oscillations during sleep potentiates memory. Nature. 2006;444:610–613. - PubMed
    1. Mednick S.C., McDevitt E.A., Walsh J.K., Wamsley E., Paulus M., Kanady J.C., Drummond S.P.A. The critical role of sleep spindles in hippocampal-dependent memory: a pharmacology study. J. Neurosci. 2013;33:4494–4504. - PMC - PubMed
    1. Ngo H.-V.V., Martinetz T., Born J., Mölle M. Auditory closed-loop stimulation of the sleep slow oscillation enhances memory. Neuron. 2013;78:545–553. - PubMed
    1. Ngo H.-V.V., Miedema A., Faude I., Martinetz T., Mölle M., Born J. Driving sleep slow oscillations by auditory closed-loop stimulation-a self-limiting process. J. Neurosci. 2015;35:6630–6638. - PMC - PubMed
    1. Cairney S.A., Sobczak J.M., Lindsay S., Gaskell M.G. Mechanisms of memory retrieval in slow-wave sleep. Sleep. 2017;40 - PMC - PubMed
Show all 38 references
Publication types
MeSH terms
[x]
Cite
Copy Download .nbib
Format: AMA APA MLA NLM
Figure 4
Figure 4
Information Processing Evoked by Memory Cues (A) Time courses (mean ± SEM) of within- and between-category similarities in response to old memory cues. Shaded area from 1.76 to 2.06 s highlights a significant increase (p 

References

    1. Marshall L., Helgadóttir H., Mölle M., Born J. Boosting slow oscillations during sleep potentiates memory. Nature. 2006;444:610–613.
    1. Mednick S.C., McDevitt E.A., Walsh J.K., Wamsley E., Paulus M., Kanady J.C., Drummond S.P.A. The critical role of sleep spindles in hippocampal-dependent memory: a pharmacology study. J. Neurosci. 2013;33:4494–4504.
    1. Ngo H.-V.V., Martinetz T., Born J., Mölle M. Auditory closed-loop stimulation of the sleep slow oscillation enhances memory. Neuron. 2013;78:545–553.
    1. Ngo H.-V.V., Miedema A., Faude I., Martinetz T., Mölle M., Born J. Driving sleep slow oscillations by auditory closed-loop stimulation-a self-limiting process. J. Neurosci. 2015;35:6630–6638.
    1. Cairney S.A., Sobczak J.M., Lindsay S., Gaskell M.G. Mechanisms of memory retrieval in slow-wave sleep. Sleep. 2017;40
    1. Fuentemilla L., Miró J., Ripollés P., Vilà-Balló A., Juncadella M., Castañer S., Salord N., Monasterio C., Falip M., Rodríguez-Fornells A. Hippocampus-dependent strengthening of targeted memories via reactivation during sleep in humans. Curr. Biol. 2013;23:1769–1775.
    1. Rudoy J.D., Voss J.L., Westerberg C.E., Paller K.A. Strengthening individual memories by reactivating them during sleep. Science. 2009;326:1079.
    1. Oudiette D., Antony J.W., Creery J.D., Paller K.A. The role of memory reactivation during wakefulness and sleep in determining which memories endure. J. Neurosci. 2013;33:6672–6678.
    1. Schreiner T., Rasch B. Boosting vocabulary learning by verbal cueing during sleep. Cereb. Cortex. 2015;25:4169–4179.
    1. Cousins J.N., El-Deredy W., Parkes L.M., Hennies N., Lewis P.A. Cued reactivation of motor learning during sleep leads to overnight changes in functional brain activity and connectivity. PLoS Biol. 2016;14:e1002451.
    1. Bergmann T.O., Mölle M., Diedrichs J., Born J., Siebner H.R. Sleep spindle-related reactivation of category-specific cortical regions after learning face-scene associations. Neuroimage. 2012;59:2733–2742.
    1. Schönauer M., Alizadeh S., Jamalabadi H., Abraham A., Pawlizki A., Gais S. Decoding material-specific memory reprocessing during sleep in humans. Nat. Comm. 2017;8
    1. Schreiner T., Lehmann M., Rasch B. Auditory feedback blocks memory benefits of cueing during sleep. Nat. Commun. 2015;6:8729.
    1. Kriegeskorte N., Mur M., Bandettini P. Representational similarity analysis - connecting the branches of systems neuroscience. Front. Syst. Neurosci. 2008;2
    1. Cox R., Hofman W.F., de Boer M., Talamini L.M. Local sleep spindle modulations in relation to specific memory cues. Neuroimage. 2014;99:103–110.
    1. Rosanova M., Ulrich D. Pattern-specific associative long-term potentiation induced by a sleep spindle-related spike train. J. Neurosci. 2005;25:9398–9405.
    1. Sejnowski T.J., Destexhe A. Why do we sleep? Brain Res. 2000;886:208–223.
    1. Timofeev I., Grenier F., Bazhenov M., Houweling A.R., Sejnowski T.J., Steriade M. Short- and medium-term plasticity associated with augmenting responses in cortical slabs and spindles in intact cortex of cats in vivo. J. Physiol. 2002;542:583–598.
    1. Antony J.W., Ferreira C.S., Norman K.A., Wimber M. Retrieval as a fast route to memory consolidation. Trends Cogn. Sci. 2017;21:573–576.
    1. Buzsáki G. Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning. Hippocampus. 2015;25:1073–1188.
    1. Kudrimoti H.S., Barnes C.A., McNaughton B.L. Reactivation of hippocampal cell assemblies: effects of behavioral state, experience, and EEG dynamics. J. Neurosci. 1999;19:4090–4101.
    1. Nakashiba T., Buhl D.L., McHugh T.J., Tonegawa S. Hippocampal CA3 output is crucial for ripple-associated reactivation and consolidation of memory. Neuron. 2009;62:781–787.
    1. Clemens Z., Mölle M., Erőss L., Barsi P., Halász P., Born J. Temporal coupling of parahippocampal ripples, sleep spindles and slow oscillations in humans. Brain. 2007;130:2868–2878.
    1. Clemens Z., Mölle M., Erőss L., Jakus R., Rásonyi G., Halász P., Born J. Fine-tuned coupling between human parahippocampal ripples and sleep spindles. Eur. J. Neurosci. 2011;33:511–520.
    1. Staresina B.P., Bergmann T.O., Bonnefond M., van der Meij R., Jensen O., Deuker L., Elger C.E., Axmacher N., Fell J. Hierarchical nesting of slow oscillations, spindles and ripples in the human hippocampus during sleep. Nat. Neurosci. 2015;18:1679–1686.
    1. Born J., Rasch B., Gais S. Sleep to remember. Neuroscientist. 2006;12:410–424.
    1. Born J., Wilhelm I. System consolidation of memory during sleep. Psychol. Res. 2012;76:192–203.
    1. Diekelmann S., Born J. The memory function of sleep. Nat. Rev. Neurosci. 2010;11:114–126.
    1. Rasch B., Born J. About sleep’s role in memory. Physiol. Rev. 2013;93:681–766.
    1. Brainard D.H. The psychophysics toolbox. Spat. Vis. 1997;10:433–436.
    1. Oostenveld R., Fries P., Maris E., Schoffelen J.M. FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput. Intell. Neurosci. 2011;2011:156869.
    1. Berens P. CircStat: A MATLAB Toolbox for Circular Statistics. J. Stat. Software. 2009;31
    1. Staresina B.P., Duncan K.D., Davachi L. Perirhinal and parahippocampal cortices differentially contribute to later recollection of object- and scene-related event details. J. Neurosci. 2011;31:8739–8747.
    1. Konkle T., Brady T.F., Alvarez G.A., Oliva A. Scene memory is more detailed than you think: the role of categories in visual long-term memory. Psychol. Sci. 2010;21:1551–1556.
    1. Iber C., Ancoli-Israel S., Chesson A., Quan S.F. American Academy of Sleep Medicine; Westchester, IL: 2007. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specification.
    1. Grootswagers T., Wardle S.G., Carlson T.A. Decoding dynamic brain patterns from evoked responses: a tutorial on multivariate pattern analysis applied to time series neuroimaging data. J. Cogn. Neurosci. 2017;29:677–697.
    1. Cox R., Schapiro A.C., Manoach D.S., Stickgold R. Individual differences in frequency and topography of slow and fast sleep spindles. Front. Hum. Neurosci. 2017;11:433.
    1. Cohen M.X. Assessing transient cross-frequency coupling in EEG data. J. Neurosci. Methods. 2008;168:494–499.

Source: PubMed

3
Sottoscrivi