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Zhao X, Chen PH, Chen J, Sun H. Manipulated overlapping reactivation of multiple memories promotes explicit gist abstraction. Neurobiol Learn Mem 2024; 213:107953. [PMID: 38950676 DOI: 10.1016/j.nlm.2024.107953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 05/19/2024] [Accepted: 06/14/2024] [Indexed: 07/03/2024]
Abstract
Sleep is considered to promote gist abstraction on the basis of spontaneous memory reactivation. As speculated in the theory of 'information overlap to abstract (iOtA)', 'overlap' between reactivated memories, beyond reactivation, is crucial to gist abstraction. Yet so far, empirical research has not tested this theory by manipulating the factor of 'overlap'. In the current study, 'overlap' itself was manipulated by targeted memory reactivation (TMR), through simultaneously reactivating multiple memories that either contain or do not contain spatially overlapped gist information, to investigate the effect of overlapping reactivation on gist abstraction. This study had a factorial design of 2 factors with 2 levels respectively (spatial overlap/no spatial overlap, TMR/no-TMR). Accordingly, 82 healthy college students (aged 19 ∼ 25, 57 females) were randomized into four groups. After learning 16 pictures, paired with 4 auditory cues (4 pictures - 1 cue) according to the grouping, participants were given a 90-minute nap opportunity. Then TMR cueing was conducted during N2 and slow wave sleep of the nap. Performance in memory task was used to measure gist abstraction. The results showed a significant main effect of TMR on both implicit and explicit gist abstraction, and a marginally significant interaction effect on explicit gist abstraction. Further analyses showed that explicit gist abstraction in the spatial overlap & TMR group was significantly better than in the control group. Moreover, explicit gist abstraction was positively correlated with spindle density. The current study thus indicates that TMR facilitates gist abstraction, and explicit gist abstraction may benefit more from overlapping reactivation.
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Affiliation(s)
- Xiaoxia Zhao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, 51 HuayuanBei Road, Beijing 100191, China
| | - Po-Han Chen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, 51 HuayuanBei Road, Beijing 100191, China
| | - Jie Chen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, 51 HuayuanBei Road, Beijing 100191, China
| | - Hongqiang Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, 51 HuayuanBei Road, Beijing 100191, China.
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Halonen R, Luokkala S, Kuula L, Antila M, Pesonen AK. Right-lateralized sleep spindles are associated with neutral over emotional bias in picture recognition: An overnight study. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2023; 23:1445-1459. [PMID: 37308745 PMCID: PMC10260275 DOI: 10.3758/s13415-023-01113-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/10/2023] [Indexed: 06/14/2023]
Abstract
Sleep is especially important for emotional memories, although the mechanisms for prioritizing emotional content are insufficiently known. As during waking, emotional processing during sleep may be hemispherically asymmetric; right-lateralized rapid-eye movement (REM) sleep theta (~4-7 Hz) is reportedly associated with emotional memory retention. No research exists on lateralized non-REM sleep oscillations. However, sleep spindles, especially when coupled with slow oscillations (SOs), facilitate off-line memory consolidation.Our primary goal was to examine how the lateralization (right-to-left contrast) of REM theta, sleep spindles, and SO-spindle coupling is associated with overnight recognition memory in a task consisting of neutral and emotionally aversive pictures. Thirty-two healthy adults encoded 150 target pictures before overnight sleep. The recognition of target pictures among foils (discriminability, d') was tested immediately, 12 hours, and 24 hours after encoding.Recognition discriminability between targets and foils was similar for neutral and emotional pictures in immediate and 12-h retrievals. After 24 hours, emotional pictures were less accurately discriminated (p < 0.001). Emotional difference at 24-h retrieval was associated with right-to-left contrast in frontal fast spindle density (p < 0.001). The lateralization of SO-spindle coupling was associated with higher neutral versus emotional difference across all retrievals (p = 0.004).Our findings contribute to a largely unstudied area in sleep-related memory research. Hemispheric asymmetry in non-REM sleep oscillations may contribute to how neutral versus emotional information is processed. This is presumably underlain by both mechanistic offline memory consolidation and a trait-like cognitive/affective bias that influences memory encoding and retrieval. Methodological choices and participants' affective traits are likely involved.
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Affiliation(s)
- Risto Halonen
- SleepWell Research Program, Research Program Unit, Faculty of Medicine, University of Helsinki, P.O. Box 21, 00014, Helsinki, Finland
| | - Sanni Luokkala
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, P.O. Box 21, 00014, Helsinki, Finland
| | - Liisa Kuula
- SleepWell Research Program, Research Program Unit, Faculty of Medicine, University of Helsinki, P.O. Box 21, 00014, Helsinki, Finland
| | - Minea Antila
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, P.O. Box 21, 00014, Helsinki, Finland
| | - Anu-Katriina Pesonen
- SleepWell Research Program, Research Program Unit, Faculty of Medicine, University of Helsinki, P.O. Box 21, 00014, Helsinki, Finland.
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3
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Koo-Poeggel P, Neuwerk S, Petersen E, Grasshoff J, Mölle M, Martinetz T, Marshall L. Closed-loop acoustic stimulation during an afternoon nap to modulate subsequent encoding. J Sleep Res 2022; 31:e13734. [PMID: 36123957 DOI: 10.1111/jsr.13734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/31/2022] [Accepted: 09/02/2022] [Indexed: 11/27/2022]
Abstract
Sleep is able to contribute not only to memory consolidation, but also to post-sleep learning. The notion exists that either synaptic downscaling or another process during sleep increase post-sleep learning capacity. A correlation between augmentation of the sleep slow oscillation and hippocampal activation at encoding support the contribution of sleep to encoding of declarative memories. In the present study, the effect of closed-loop acoustic stimulation during an afternoon nap on post-sleep encoding of two verbal (word pairs, verbal learning and memory test) and non-verbal (figural pairs) tasks and on electroencephalogram during sleep and learning were investigated in young healthy adults (N = 16). Closed-loop acoustic stimulation enhanced slow oscillatory and spindle activity, but did not affect encoding at the group level. Subgroup analyses and comparisons with similar studies lead us to the tentative conclusion that further parameters such as time of day and subjects' cognitive ability influenced responses to closed-loop acoustic stimulation.
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Affiliation(s)
- Ping Koo-Poeggel
- Center of Brain, Behavior and Metabolism, University of Luebeck, Luebeck, Germany.,Institute for Experimental and Clinical Pharmacology and Toxicology, University of Luebeck, Luebeck, Germany
| | - Soé Neuwerk
- Institute for Experimental and Clinical Pharmacology and Toxicology, University of Luebeck, Luebeck, Germany
| | - Eike Petersen
- Institute for Electrical and Engineering in Medicine, University of Luebeck, Luebeck, Germany.,DTU Compute, Technical University of Denmark, Denmark
| | - Jan Grasshoff
- Fraunhofer IMTE, Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering, Lübeck, Germany
| | - Matthias Mölle
- Center of Brain, Behavior and Metabolism, University of Luebeck, Luebeck, Germany
| | - Thomas Martinetz
- Institute for Neuro- and Bioinformatics, University of Luebeck, Luebeck, Germany
| | - Lisa Marshall
- Center of Brain, Behavior and Metabolism, University of Luebeck, Luebeck, Germany.,Institute for Experimental and Clinical Pharmacology and Toxicology, University of Luebeck, Luebeck, Germany
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4
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Petzka M, Chatburn A, Charest I, Balanos GM, Staresina BP. Sleep spindles track cortical learning patterns for memory consolidation. Curr Biol 2022; 32:2349-2356.e4. [PMID: 35561681 DOI: 10.1016/j.cub.2022.04.045] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 03/11/2022] [Accepted: 04/14/2022] [Indexed: 10/18/2022]
Abstract
Memory consolidation-the transformation of labile memory traces into stable long-term representations-is facilitated by post-learning sleep. Computational and biophysical models suggest that sleep spindles may play a key mechanistic role for consolidation, igniting structural changes at cortical sites involved in prior learning. Here, we tested the resulting prediction that spindles are most pronounced over learning-related cortical areas and that the extent of this learning-spindle overlap predicts behavioral measures of memory consolidation. Using high-density scalp electroencephalography (EEG) and polysomnography (PSG) in healthy volunteers, we first identified cortical areas engaged during a temporospatial associative memory task (power decreases in the alpha/beta frequency range, 6-20 Hz). Critically, we found that participant-specific topographies (i.e., spatial distributions) of post-learning sleep spindle amplitude correlated with participant-specific learning topographies. Importantly, the extent to which spindles tracked learning patterns further predicted memory consolidation across participants. Our results provide empirical evidence for a role of post-learning sleep spindles in tracking learning networks, thereby facilitating memory consolidation.
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Affiliation(s)
- Marit Petzka
- School of Psychology and Centre for Human Brain Health, University of Birmingham, Birmingham, UK; Max Planck Research Group NeuroCode, Max Planck Institute for Human Development, Berlin, Germany
| | - Alex Chatburn
- Cognitive and Systems Neuroscience Research Hub, University of South Australia, Adelaide, SA, Australia
| | - Ian Charest
- Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - George M Balanos
- School of Sport, Exercise and Rehabilitation, University of Birmingham, Birmingham, UK
| | - Bernhard P Staresina
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
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Ventura S, Mathieson SR, O'Toole JM, Livingstone V, Ryan MA, Boylan GB. EEG sleep macrostructure and sleep spindles in early infancy. Sleep 2021; 45:6424963. [PMID: 34755881 PMCID: PMC8754499 DOI: 10.1093/sleep/zsab262] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 09/22/2021] [Indexed: 11/29/2022] Open
Abstract
Study Objectives Sleep features in infancy are potential biomarkers for brain maturation but poorly characterized. We describe normative values for sleep macrostructure and sleep spindles at 4–5 months of age. Methods Healthy term infants were recruited at birth and had daytime sleep electroencephalograms (EEGs) at 4–5 months. Sleep staging was performed and five features were analyzed. Sleep spindles were annotated and seven quantitative features were extracted. Features were analyzed across sex, recording time (am/pm), infant age, and from first to second sleep cycles. Results We analyzed sleep recordings from 91 infants, 41% females. Median (interquartile range [IQR]) macrostructure results: sleep duration 49.0 (37.8–72.0) min (n = 77); first sleep cycle duration 42.8 (37.0–51.4) min; rapid eye movement (REM) percentage 17.4 (9.5–27.7)% (n = 68); latency to REM 36.0 (30.5–41.1) min (n = 66). First cycle median (IQR) values for spindle features: number 241.0 (193.0–286.5), density 6.6 (5.7–8.0) spindles/min (n = 77); mean frequency 13.0 (12.8–13.3) Hz, mean duration 2.9 (2.6–3.6) s, spectral power 7.8 (4.7–11.4) µV2, brain symmetry index 0.20 (0.16–0.29), synchrony 59.5 (53.2–63.8)% (n = 91). In males, spindle spectral power (µV2) was 24.5% lower (p = .032) and brain symmetry index 24.2% higher than females (p = .011) when controlling for gestational and postnatal age and timing of the nap. We found no other significant associations between studied sleep features and sex, recording time (am/pm), or age. Spectral power decreased (p < .001) on the second cycle. Conclusion This normative data may be useful for comparison with future studies of sleep dysfunction and atypical neurodevelopment in infancy. Clinical Trial Registration: BABY SMART (Study of Massage Therapy, Sleep And neurodevelopMenT) (BabySMART) URL: https://clinicaltrials.gov/ct2/show/results/NCT03381027?view=results. ClinicalTrials.gov Identifier: NCT03381027
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Affiliation(s)
- Soraia Ventura
- Department of Paediatrics & Child Health, University College Cork, Cork, Ireland.,INFANT Research Centre, University College Cork, Ireland
| | - Sean R Mathieson
- Department of Paediatrics & Child Health, University College Cork, Cork, Ireland.,INFANT Research Centre, University College Cork, Ireland
| | - John M O'Toole
- Department of Paediatrics & Child Health, University College Cork, Cork, Ireland.,INFANT Research Centre, University College Cork, Ireland
| | - Vicki Livingstone
- Department of Paediatrics & Child Health, University College Cork, Cork, Ireland.,INFANT Research Centre, University College Cork, Ireland
| | - Mary-Anne Ryan
- Department of Paediatrics & Child Health, University College Cork, Cork, Ireland.,INFANT Research Centre, University College Cork, Ireland
| | - Geraldine B Boylan
- Department of Paediatrics & Child Health, University College Cork, Cork, Ireland.,INFANT Research Centre, University College Cork, Ireland
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Lutz ND, Admard M, Genzoni E, Born J, Rauss K. Occipital sleep spindles predict sequence learning in a visuo-motor task. Sleep 2021; 44:zsab056. [PMID: 33743012 PMCID: PMC8361350 DOI: 10.1093/sleep/zsab056] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 03/01/2021] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES The brain appears to use internal models to successfully interact with its environment via active predictions of future events. Both internal models and the predictions derived from them are based on previous experience. However, it remains unclear how previously encoded information is maintained to support this function, especially in the visual domain. In the present study, we hypothesized that sleep consolidates newly encoded spatio-temporal regularities to improve predictions afterwards. METHODS We tested this hypothesis using a novel sequence-learning paradigm that aimed to dissociate perceptual from motor learning. We recorded behavioral performance and high-density electroencephalography (EEG) in male human participants during initial training and during testing two days later, following an experimental night of sleep (n = 16, including high-density EEG recordings) or wakefulness (n = 17). RESULTS Our results show sleep-dependent behavioral improvements correlated with sleep-spindle activity specifically over occipital cortices. Moreover, event-related potential (ERP) responses indicate a shift of attention away from predictable to unpredictable sequences after sleep, consistent with enhanced automaticity in the processing of predictable sequences. CONCLUSIONS These findings suggest a sleep-dependent improvement in the prediction of visual sequences, likely related to visual cortex reactivation during sleep spindles. Considering that controls in our experiments did not fully exclude oculomotor contributions, future studies will need to address the extent to which these effects depend on purely perceptual versus oculomotor sequence learning.
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Affiliation(s)
- Nicolas D Lutz
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- Graduate Training Centre of Neuroscience/IMPRS for Cognitive & Systems Neuroscience, University of Tübingen, Tübingen, Germany
| | - Marie Admard
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
| | - Elsa Genzoni
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Jan Born
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- Werner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Institute for Diabetes Research & Metabolic Diseases of the Helmholtz Center Munich at the University Tübingen (IDM), Germany
| | - Karsten Rauss
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
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Kurz EM, Conzelmann A, Barth GM, Renner TJ, Zinke K, Born J. How do children with autism spectrum disorder form gist memory during sleep? A study of slow oscillation-spindle coupling. Sleep 2021; 44:zsaa290. [PMID: 33367905 PMCID: PMC8193554 DOI: 10.1093/sleep/zsaa290] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 10/28/2020] [Indexed: 12/12/2022] Open
Abstract
Sleep is assumed to support memory through an active systems consolidation process that does not only strengthen newly encoded representations but also facilitates the formation of more abstract gist memories. Studies in humans and rodents indicate a key role of the precise temporal coupling of sleep slow oscillations (SO) and spindles in this process. The present study aimed at bolstering these findings in typically developing (TD) children, and at dissecting particularities in SO-spindle coupling underlying signs of enhanced gist memory formation during sleep found in a foregoing study in children with autism spectrum disorder (ASD) without intellectual impairment. Sleep data from 19 boys with ASD and 20 TD boys (9-12 years) were analyzed. Children performed a picture-recognition task and the Deese-Roediger-McDermott (DRM) task before nocturnal sleep (encoding) and in the next morning (retrieval). Sleep-dependent benefits for visual-recognition memory were comparable between groups but were greater for gist abstraction (recall of DRM critical lure words) in ASD than TD children. Both groups showed a closely comparable SO-spindle coupling, with fast spindle activity nesting in SO-upstates, suggesting that a key mechanism of memory processing during sleep is fully functioning already at childhood. Picture-recognition at retrieval after sleep was positively correlated to frontocortical SO-fast-spindle coupling in TD children, and less in ASD children. Critical lure recall did not correlate with SO-spindle coupling in TD children but showed a negative correlation (r = -.64, p = .003) with parietal SO-fast-spindle coupling in ASD children, suggesting other mechanisms specifically conveying gist abstraction, that may even compete with SO-spindle coupling.
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Affiliation(s)
- Eva-Maria Kurz
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Psychiatry and Psychotherapy, Tübingen, Germany
- Graduate Training Centre of Neuroscience, International Max Planck Research School, University of Tübingen, Tübingen, Germany
| | - Annette Conzelmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Psychiatry and Psychotherapy, Tübingen, Germany
- PFH – Private University of Applied Sciences, Department of Psychology (Clinical Psychology II), Göttingen, Germany
| | - Gottfried Maria Barth
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Psychiatry and Psychotherapy, Tübingen, Germany
| | - Tobias J Renner
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Psychiatry and Psychotherapy, Tübingen, Germany
| | - Katharina Zinke
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
| | - Jan Born
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- Werner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Institute for Diabetes Research & Metabolic Diseases of the Helmholtz Center Munich at the University Tübingen (IDM), Tübingen, Germany
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Stevens D, Leong CWY, Cheung H, Arciuli J, Vakulin A, Kim JW, Openshaw HD, Rae CD, Wong KKH, Dijk DJ, Siong Leow JW, Saini B, Grunstein RR, D'Rozario AL. Sleep spindle activity correlates with implicit statistical learning consolidation in untreated obstructive sleep apnea patients. Sleep Med 2021; 86:126-134. [PMID: 33707093 DOI: 10.1016/j.sleep.2021.01.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 01/21/2021] [Accepted: 01/24/2021] [Indexed: 12/24/2022]
Abstract
OBJECTIVE/BACKGROUND The aim of this study was to examine the relationship between overnight consolidation of implicit statistical learning with spindle frequency EEG activity and slow frequency delta power during non-rapid eye movement (NREM) sleep in obstructive sleep apnea (OSA). PATIENTS/METHODS Forty-seven OSA participants completed the experiment. Prior to sleep, participants performed a reaction time cover task containing hidden patterns of pictures, about which participants were not informed. After the familiarisation phase, participants underwent overnight polysomnography. 24 h after the familiarisation phase, participants performed a test phase to assess their learning of the hidden patterns, expressed as a percentage of the number of correctly identified patterns. Spindle frequency activity (SFA) and delta power (0.5-4.5 Hz), were quantified from NREM electroencephalography. Associations between statistical learning and sleep EEG, and OSA severity measures were examined. RESULTS SFA in NREM sleep in frontal and central brain regions was positively correlated with statistical learning scores (r = 0.41 to 0.31, p = 0.006 to 0.044). In multiple regression, greater SFA and longer sleep onset latency were significant predictors of better statistical learning performance. Delta power and OSA severity were not significantly correlated with statistical learning. CONCLUSIONS These findings suggest spindle activity may serve as a marker of statistical learning capability in OSA. This work provides novel insight into how altered sleep physiology relates to consolidation of implicitly learnt information in patients with moderate to severe OSA.
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Affiliation(s)
- David Stevens
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia; Adelaide Institute for Sleep Health: A Flinders Centre of Research Excellence, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | | | - Helena Cheung
- Faculty of Pharmacy, The University of Sydney, Sydney, Australia
| | - Joanne Arciuli
- College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
| | - Andrew Vakulin
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; Adelaide Institute for Sleep Health: A Flinders Centre of Research Excellence, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Jong-Won Kim
- Department of Healthcare IT, Inje University, Inje-ro 197, Kimhae, Kyunsangnam-do, 50834, South Korea
| | - Hannah D Openshaw
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia
| | - Caroline D Rae
- Neuroscience Research Australia (NeuRA), Sydney, Australia; School of Medical Sciences, The University of New South Wales, Sydney, Australia
| | - Keith K H Wong
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; Royal Prince Alfred Hospital, Sydney Health Partners, NSW, Australia; Sydney Medical School, The University of Sydney, NSW, Australia
| | - Derk-Jan Dijk
- Surrey Sleep Research Centre, University of Surrey, Guildford, UK; UK Dementia Research Institute at the University of Surrey, UK
| | - Josiah Wei Siong Leow
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia
| | - Bandana Saini
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; Faculty of Pharmacy, The University of Sydney, Sydney, Australia
| | - Ronald R Grunstein
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; Royal Prince Alfred Hospital, Sydney Health Partners, NSW, Australia; Sydney Medical School, The University of Sydney, NSW, Australia
| | - Angela L D'Rozario
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, The University of Sydney, NSW, Australia; The University of Sydney, School of Psychology, Brain and Mind Centre and Charles Perkins Centre, Australia.
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9
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Iotchev IB, Kubinyi E. Shared and unique features of mammalian sleep spindles - insights from new and old animal models. Biol Rev Camb Philos Soc 2021; 96:1021-1034. [PMID: 33533183 DOI: 10.1111/brv.12688] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 01/19/2021] [Accepted: 01/20/2021] [Indexed: 11/29/2022]
Abstract
Sleep spindles are phasic events observed in mammalian non-rapid eye movement sleep. They are relevant today in the study of memory consolidation, sleep quality, mental health and ageing. We argue that our advanced understanding of their mechanisms has not exhausted the utility and need for animal model work. This is both because some topics, like cognitive ageing, have not yet been addressed sufficiently in comparative efforts and because the evolutionary history of this oscillation is still poorly understood. Comparisons across species often are either limited to referencing the classical cat and rodent models, or are over-inclusive, uncritically including reports of sleep spindles in rarely studied animals. In this review, we discuss the emergence of new (dog and sheep) models for sleep spindles and compare the strengths and shortcomings of new and old models based on the three validation criteria for animal models - face, predictive, and construct validity. We conclude that an emphasis on cognitive ageing might dictate the future of comparative sleep spindle studies, a development that is already becoming visible in studies on dogs. Moreover, reconstructing the evolutionary history of sleep spindles will require more stringent criteria for their identification, across more species. In particular, a stronger emphasis on construct and predictive validity can help verify if spindle-like events in other species are actual sleep spindles. Work in accordance with such stricter validation suggests that sleep spindles display more universally shared features, like defining frequency, than previously thought.
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Affiliation(s)
- Ivaylo Borislavov Iotchev
- Department of Ethology, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest, 1117, Hungary
| | - Eniko Kubinyi
- Department of Ethology, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest, 1117, Hungary
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10
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Durrant SJ, Johnson JM. Sleep’s Role in Schema Learning and Creative Insights. CURRENT SLEEP MEDICINE REPORTS 2021. [DOI: 10.1007/s40675-021-00202-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Abstract
Purpose of Review
A recent resurgence of interest in schema theory has influenced research on sleep-dependent memory consolidation and led to a new understanding of how schemata might be activated during sleep and play a role in the reorganisation of memories. This review is aimed at synthesising recent findings into a coherent narrative and draw overall conclusions.
Recent Findings
Rapid consolidation of schematic memories has been shown to benefit from an interval containing sleep. These memories have shown reduced reliance on the hippocampus following consolidation in both humans and rodents. Using a variety of methodologies, notably including the DRM paradigm, it has been shown that activation of a schema can increase the rate of false memory as a result of activation of semantic associates during slow wave sleep (SWS). Memories making use of a schema have shown increased activity in the medial prefrontal cortex, which may reflect both the schematic activation itself and a cognitive control component selecting an appropriate schema to use. SWS seems to be involved in assimilation of new memories within existing semantic frameworks and in making memories more explicit, while REM sleep may be more associated with creating entirely novel associations while keeping memories implicit.
Summary
Sleep plays an important role in schematic memory consolidation, with more rapid consolidation, reduced hippocampal involvement, and increased prefrontal involvement as the key characteristics. Both SWS and REM sleep may have a role to play.
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11
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Iotchev IB, Reicher V, Kovács E, Kovács T, Kis A, Gácsi M, Kubinyi E. Averaging sleep spindle occurrence in dogs predicts learning performance better than single measures. Sci Rep 2020; 10:22461. [PMID: 33384457 PMCID: PMC7775433 DOI: 10.1038/s41598-020-80417-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 12/17/2020] [Indexed: 11/12/2022] Open
Abstract
Although a positive link between sleep spindle occurrence and measures of post-sleep recall (learning success) is often reported for humans and replicated across species, the test–retest reliability of the effect is sometimes questioned. The largest to date study could not confirm the association, however methods for automatic spindle detection diverge in their estimates and vary between studies. Here we report that in dogs using the same detection method across different learning tasks is associated with observing a positive association between sleep spindle density (spindles/minute) and learning success. Our results suggest that reducing measurement error by averaging across measurements of density and learning can increase the visibility of this effect, implying that trait density (estimated through averaged occurrence) is a more reliable predictor of cognitive performance than estimates based on single measures.
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Affiliation(s)
| | - Vivien Reicher
- Department of Ethology, ELTE Eötvös Loránd University, 1117, Budapest, Hungary.,MTA-ELTE Comparative Ethology Research Group, 1117, Budapest, Hungary
| | - Enikő Kovács
- Department of Ethology, ELTE Eötvös Loránd University, 1117, Budapest, Hungary.,Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, 1117, Budapest, Hungary
| | - Tímea Kovács
- Department of Ethology, ELTE Eötvös Loránd University, 1117, Budapest, Hungary
| | - Anna Kis
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, 1117, Budapest, Hungary
| | - Márta Gácsi
- Department of Ethology, ELTE Eötvös Loránd University, 1117, Budapest, Hungary.,MTA-ELTE Comparative Ethology Research Group, 1117, Budapest, Hungary
| | - Enikő Kubinyi
- Department of Ethology, ELTE Eötvös Loránd University, 1117, Budapest, Hungary
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12
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Auditory event-related potentials in individuals with subjective and mild cognitive impairment. Behav Brain Res 2020; 391:112700. [DOI: 10.1016/j.bbr.2020.112700] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 04/19/2020] [Accepted: 05/08/2020] [Indexed: 12/11/2022]
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13
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Solomonova E, Dubé S, Blanchette-Carrière C, Sandra DA, Samson-Richer A, Carr M, Paquette T, Nielsen T. Different Patterns of Sleep-Dependent Procedural Memory Consolidation in Vipassana Meditation Practitioners and Non-meditating Controls. Front Psychol 2020; 10:3014. [PMID: 32038390 PMCID: PMC6989470 DOI: 10.3389/fpsyg.2019.03014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 12/19/2019] [Indexed: 01/01/2023] Open
Abstract
Aim Rapid eye movement (REM) sleep, non-rapid eye movement (NREM) sleep, and sleep spindles are all implicated in the consolidation of procedural memories. Relative contributions of sleep stages and sleep spindles were previously shown to depend on individual differences in task processing. However, no studies to our knowledge have focused on individual differences in experience with Vipassana meditation as related to sleep. Vipassana meditation is a form of mental training that enhances proprioceptive and somatic awareness and alters attentional style. The goal of this study was to examine a potential role for Vipassana meditation experience in sleep-dependent procedural memory consolidation. Methods Groups of Vipassana meditation practitioners (N = 22) and matched meditation-naïve controls (N = 20) slept for a daytime nap in the laboratory. Before and after the nap they completed a procedural task on the Wii Fit balance platform. Results Meditators performed slightly better on the task before the nap, but the two groups improved similarly after sleep. The groups showed different patterns of sleep-dependent procedural memory consolidation: in meditators, task learning was positively correlated with density of slow occipital spindles, while in controls task improvement was positively associated with time in REM sleep. Sleep efficiency and sleep architecture did not differ between groups. Meditation practitioners, however, had a lower density of occipital slow sleep spindles than controls. Conclusion Results suggest that neuroplastic changes associated with meditation practice may alter overall sleep microarchitecture and reorganize sleep-dependent patterns of memory consolidation. The lower density of occipital spindles in meditators may mean that meditation practice compensates for some of the memory functions of sleep.
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Affiliation(s)
- Elizaveta Solomonova
- Dream and Nightmare Laboratory, Centre for Advanced Research in Sleep Medicine, CIUSSS NÎM - HSCM, Montréal, QC, Canada.,Department of Psychiatry, Université de Montréal, Montréal, QC, Canada.,Culture, Mind and Brain Research Group, Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Simon Dubé
- Dream and Nightmare Laboratory, Centre for Advanced Research in Sleep Medicine, CIUSSS NÎM - HSCM, Montréal, QC, Canada.,Department of Psychology, Concordia University, Montréal, QC, Canada
| | - Cloé Blanchette-Carrière
- Dream and Nightmare Laboratory, Centre for Advanced Research in Sleep Medicine, CIUSSS NÎM - HSCM, Montréal, QC, Canada
| | - Dasha A Sandra
- Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada
| | - Arnaud Samson-Richer
- Dream and Nightmare Laboratory, Centre for Advanced Research in Sleep Medicine, CIUSSS NÎM - HSCM, Montréal, QC, Canada
| | - Michelle Carr
- Dream and Nightmare Laboratory, Centre for Advanced Research in Sleep Medicine, CIUSSS NÎM - HSCM, Montréal, QC, Canada.,Sleep Laboratory, Swansea University, Swansea, United Kingdom
| | - Tyna Paquette
- Dream and Nightmare Laboratory, Centre for Advanced Research in Sleep Medicine, CIUSSS NÎM - HSCM, Montréal, QC, Canada
| | - Tore Nielsen
- Dream and Nightmare Laboratory, Centre for Advanced Research in Sleep Medicine, CIUSSS NÎM - HSCM, Montréal, QC, Canada.,Department of Psychiatry, Université de Montréal, Montréal, QC, Canada
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14
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Abstract
Sleep spindles are burstlike signals in the electroencephalogram (EEG) of the sleeping mammalian brain and electrical surface correlates of neuronal oscillations in thalamus. As one of the most inheritable sleep EEG signatures, sleep spindles probably reflect the strength and malleability of thalamocortical circuits that underlie individual cognitive profiles. We review the characteristics, organization, regulation, and origins of sleep spindles and their implication in non-rapid-eye-movement sleep (NREMS) and its functions, focusing on human and rodent. Spatially, sleep spindle-related neuronal activity appears on scales ranging from small thalamic circuits to functional cortical areas, and generates a cortical state favoring intracortical plasticity while limiting cortical output. Temporally, sleep spindles are discrete events, part of a continuous power band, and elements grouped on an infraslow time scale over which NREMS alternates between continuity and fragility. We synthesize diverse and seemingly unlinked functions of sleep spindles for sleep architecture, sensory processing, synaptic plasticity, memory formation, and cognitive abilities into a unifying sleep spindle concept, according to which sleep spindles 1) generate neural conditions of large-scale functional connectivity and plasticity that outlast their appearance as discrete EEG events, 2) appear preferentially in thalamic circuits engaged in learning and attention-based experience during wakefulness, and 3) enable a selective reactivation and routing of wake-instated neuronal traces between brain areas such as hippocampus and cortex. Their fine spatiotemporal organization reflects NREMS as a physiological state coordinated over brain and body and may indicate, if not anticipate and ultimately differentiate, pathologies in sleep and neurodevelopmental, -degenerative, and -psychiatric conditions.
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Affiliation(s)
- Laura M J Fernandez
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
| | - Anita Lüthi
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
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15
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Cha KS, Kim TJ, Jun JS, Byun JI, Sunwoo JS, Shin JW, Kim KH, Lee SK, Jung KY. Impaired slow oscillation, sleep spindle, and slow oscillation-spindle coordination in patients with idiopathic restless legs syndrome. Sleep Med 2019; 66:139-147. [PMID: 31877505 DOI: 10.1016/j.sleep.2019.09.021] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 09/10/2019] [Accepted: 09/16/2019] [Indexed: 10/25/2022]
Abstract
OBJECTIVES Thalamocortical abnormalities have been implicated in the pathophysiology of restless legs syndrome (RLS). We hypothesized that sleep spindle and slow oscillation (SO) activity is impaired in RLS, and that this dysfunction may contribute to sleep disturbance in these patients. To address this issue, we characterized sleep spindle and SO activity in RLS. METHODS Fifteen drug-naive, idiopathic RLS patients (13 female and 2 male) and 15 female healthy controls participated in this study. Nineteen-channel electroencephalograms were obtained during polysomnographic (PSG) recordings. An automated sleep spindle and SO detection algorithm was used to detect sleep spindle (12-16 Hz) and SO (<1 Hz) activity. The quantitative characteristics of sleep spindle and SO activity were investigated. RESULTS Compared with the healthy controls, in RLS patients, we observed density and power reduction in sleep spindles. In SOs, density reduction and duration increment were shown in RLS patients. In addition, SO-spindle coordination was deficient in RLS as revealed by reduced SO locked spindle power, dispersed and delayed spindle phase, and decreased SO-spindle coupling. Although sleep spindle power was negatively correlated with wake after sleep onset (WASO) time, SO duration was positively correlated with the arousal index in RLS. CONCLUSIONS Our study suggests that sleep disturbances may be mediated by a combined deficit in spindle and SO activity and SO-spindle coordination. The abnormal SO and spindle activity observed in RLS support the notion that thalamocortical abnormalities underlie this condition and may promote disturbed sleep integrity.
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Affiliation(s)
- Kwang Su Cha
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea
| | - Tae-Joon Kim
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea; Department of Neurology, Ajou University School of Medicine, Suwon, South Korea
| | - Jin-Sun Jun
- Department of Neurology, Hallym University College of Medicine, Seoul, South Korea
| | - Jung-Ick Byun
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Seoul, South Korea
| | - Jun-Sang Sunwoo
- Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea
| | - Jung-Won Shin
- Department of Neurology, CHA Bundang Medical Center, CHA University, Seongnam, South Korea
| | - Kyung Hwan Kim
- Department of Biomedical Engineering, College of Health Science, Yonsei University, Wonju, South Korea
| | - Sang Kun Lee
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea; Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Ki-Young Jung
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea; Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, South Korea.
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16
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Lerner I, Gluck MA. Sleep and the extraction of hidden regularities: A systematic review and the importance of temporal rules. Sleep Med Rev 2019; 47:39-50. [PMID: 31252335 DOI: 10.1016/j.smrv.2019.05.004] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 05/01/2019] [Accepted: 05/27/2019] [Indexed: 10/26/2022]
Abstract
As part of its role in memory consolidation, sleep has been repeatedly identified as critical for the extraction of regularities from wake experiences. However, many null results have been published as well, with no clear consensus emerging regarding the conditions that yield this sleep effect. Here, we systematically review the role of sleep in the extraction of hidden regularities, specifically those involving associative relations embedded in newly learned information. We found that the specific behavioral task used in a study had far more impact on whether a sleep effect was discovered than either the category of the cognitive processes targeted, or the particular experimental design employed. One emerging pattern, however, was that the explicit detection of hidden rules is more likely to happen when the rules are of a temporal nature (i.e., event A at time t predicts a later event B) than when they are non-temporal. We discuss this temporal rule sensitivity in reference to the compressed memory replay occurring in the hippocampus during slow-wave-sleep, and compare this effect to what happens when the extraction of regularities depends on prior knowledge and relies on structures other than the hippocampus.
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Affiliation(s)
- Itamar Lerner
- Center for Molecular and Behavioral Neuroscience, Rutgers University, 197 University Avenue, Newark, NJ 07102, USA.
| | - Mark A Gluck
- Center for Molecular and Behavioral Neuroscience, Rutgers University, 197 University Avenue, Newark, NJ 07102, USA
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17
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Lázár ZI, Dijk DJ, Lázár AS. Infraslow oscillations in human sleep spindle activity. J Neurosci Methods 2019; 316:22-34. [PMID: 30571990 PMCID: PMC6390176 DOI: 10.1016/j.jneumeth.2018.12.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 10/29/2018] [Accepted: 12/04/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND It has previously been reported that EEG sigma (10-15 Hz) activity during sleep exhibits infraslow oscillations (ISO) with a period of 50 s. However, a detailed analysis of the ISO of individually identified sleep spindles is not available. NEW METHOD We investigated basic properties of ISO during baseline sleep of 34 healthy young human participants using new and established methods. The analyses focused on fast sleep spindle and sigma activity (13-15 Hz) in NREM stage 2 and slow wave sleep (SWS). To describe ISO in sigma activity we analyzed power of power of the EEG signal. For the study of ISO in sleep spindle activity we applied a new method in which the EEG signal was reduced to a spindle on/off binary square signal. Its spectral properties were contrasted to that of a square signal wherein the same spindles and also the inter spindle intervals were permutated randomly. This approach was validated using surrogate data with imposed ISO modulation. RESULTS We confirm the existence of ISO in sigma activity albeit with a frequency below the previously reported 0.02 Hz. These ISO are most prominent in the high sigma band and over the centro-parieto-occipital regions. A similar modulation is present in spindle activity. ISO in sleep spindles are most prominent in the centro-parieto-occipital regions, left hemisphere and second half of the night independent of the number of spindles. CONCLUSIONS The comparison of spectral properties of binary event signals and permutated event signals is effective in detecting slow oscillatory phenomena.
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Affiliation(s)
- Zsolt I Lázár
- Babeş-Bolyai University, Faculty of Physics, RO-400084 Cluj-Napoca, Str. Kogălniceanu Nr. 1, Romania
| | - Derk-Jan Dijk
- Surrey Sleep Research Centre, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Alpár S Lázár
- Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK.
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18
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Sleep Strengthens Predictive Sequence Coding. J Neurosci 2018; 38:8989-9000. [PMID: 30185464 DOI: 10.1523/jneurosci.1352-18.2018] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 08/23/2018] [Accepted: 08/24/2018] [Indexed: 02/05/2023] Open
Abstract
Predictive-coding theories assume that perception and action are based on internal models derived from previous experience. Such internal models require selection and consolidation to be stored over time. Sleep is known to support memory consolidation. We hypothesized that sleep supports both consolidation and abstraction of an internal task model that is subsequently used to predict upcoming stimuli. Human subjects (of either sex) were trained on deterministic visual sequences and tested with interleaved deviant stimuli after retention intervals of sleep or wakefulness. Adopting a predictive-coding approach, we found increased prediction strength after sleep, as expressed by increased error rates to deviant stimuli, but fewer errors for the immediately following standard stimuli. Sleep likewise enhanced the formation of an abstract sequence model, independent of the temporal context during training. Moreover, sleep increased confidence for sequence knowledge, reflecting enhanced metacognitive access to the model. Our results suggest that sleep supports the formation of internal models which can be used to predict upcoming events in different contexts.SIGNIFICANCE STATEMENT To efficiently interact with the ever-changing world, we predict upcoming events based on similar previous experiences. Sleep is known to benefit memory consolidation. However, it is not clear whether sleep specifically supports the transformation of past experience into predictions of future events. Here, we find that, when human subjects sleep after learning a sequence of predictable visual events, they make better predictions about upcoming events compared with subjects who stayed awake for an equivalent period of time. In addition, sleep supports the transfer of such knowledge between different temporal contexts (i.e., when sequences unfold at different speeds). Thus, sleep supports perception and action by enhancing the predictive utility of previous experiences.
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19
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Reynolds C, Short M, Gradisar M. Sleep spindles and cognitive performance across adolescence: A meta-analytic review. J Adolesc 2018; 66:55-70. [DOI: 10.1016/j.adolescence.2018.04.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 04/09/2018] [Accepted: 04/20/2018] [Indexed: 12/22/2022]
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20
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Picchioni D, Schmidt KC, McWhirter KK, Loutaev I, Pavletic AJ, Speer AM, Zametkin AJ, Miao N, Bishu S, Turetsky KM, Morrow AS, Nadel JL, Evans BC, Vesselinovitch DM, Sheeler CA, Balkin TJ, Smith CB. Rates of cerebral protein synthesis in primary visual cortex during sleep-dependent memory consolidation, a study in human subjects. Sleep 2018; 41:4996371. [PMID: 29771362 PMCID: PMC6251561 DOI: 10.1093/sleep/zsy088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 03/01/2018] [Indexed: 11/14/2022] Open
Abstract
If protein synthesis during sleep is required for sleep-dependent memory consolidation, we might expect rates of cerebral protein synthesis (rCPS) to increase during sleep in the local brain circuits that support performance on a particular task following training on that task. To measure circuit-specific brain protein synthesis during a daytime nap opportunity, we used the L-[1-(11)C]leucine positron emission tomography (PET) method with simultaneous polysomnography. We trained subjects on the visual texture discrimination task (TDT). This was followed by a nap opportunity during the PET scan, and we retested them later in the day after the scan. The TDT is considered retinotopically specific, so we hypothesized that higher rCPS in primary visual cortex would be observed in the trained hemisphere compared to the untrained hemisphere in subjects who were randomized to a sleep condition. Our results indicate that the changes in rCPS in primary visual cortex depended on whether subjects were in the wakefulness or sleep condition but were independent of the side of the visual field trained. That is, only in the subjects randomized to sleep, rCPS in the right primary visual cortex was higher than the left regardless of side trained. Other brain regions examined were not so affected. In the subjects who slept, performance on the TDT improved similarly regardless of the side trained. Results indicate a regionally selective and sleep-dependent effect that occurs with improved performance on the TDT.
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Affiliation(s)
- Dante Picchioni
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
- Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD
- Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD
| | - Kathleen C Schmidt
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Kelly K McWhirter
- Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD
| | - Inna Loutaev
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Adriana J Pavletic
- Office of the Clinical Director, National Institute of Mental Health, Bethesda, MD
| | - Andrew M Speer
- Office of the Clinical Director, National Institute of Mental Health, Bethesda, MD
| | - Alan J Zametkin
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Ning Miao
- Department of Perioperative Medicine, National Institutes of Health Clinical Center, Bethesda, MD
| | - Shrinivas Bishu
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Kate M Turetsky
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Anne S Morrow
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Jeffrey L Nadel
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Brittney C Evans
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Diana M Vesselinovitch
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Carrie A Sheeler
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
| | - Thomas J Balkin
- Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD
| | - Carolyn B Smith
- Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, Bethesda, MD
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Prehn-Kristensen A, Böhmig A, Schult J, Pedersen A, Wiesner CD, Baving L. Does Sleep Help Prevent Forgetting Rewarded Memory Representations in Children and Adults? Front Psychol 2018; 9:924. [PMID: 29937745 PMCID: PMC6002505 DOI: 10.3389/fpsyg.2018.00924] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Accepted: 05/22/2018] [Indexed: 11/23/2022] Open
Abstract
Sleep fosters the consolidation of rewarded memory representations in adults. However, sleep and its memory-supporting functions change through healthy development, and it is unclear whether sleep benefits the consolidation of rewarded memory representations in children as it does in adults. Based on previous findings, we expected sleep to benefit the consolidation of rewarded memory representations in children more than it does in adults. For that reason, 16 children (7–11 years) and 20 adults (21–29 years) participated in this experiment. During the encoding session, participants were asked to learn the location of 18 object pairs. Thereafter, one-half of the object locations were allocated to a high-rewarded condition and the other half to a low-rewarded condition. In the sleep condition, the encoding session took place in the evening (for children 7–8 pm, for adults 8–9 pm). After a fixed retention interval of 12 h the retrieval session was conducted the next morning (for children 7–8 am, for adults 8–9 am). In the wake condition, the time schedule was the same but reversed: the encoding session started in the morning (for children 7–8 am, for adults 8–9 am), and retrieval took place in the evening (for children 7–8 pm, for adults 8–9 pm). Sleep/wake had no impact on the memory performance regarding the low-rewarded memory items. In contrast, wakefulness in comparison to sleep reduced the memory performance on high-rewarded memory items. The interaction between sleep/wake and the degree of reward on memory performance was only significant in children. These results show that 12 h of wakefulness can deteriorate the memory performance for high-rewarded representations, whereas sleep can prevent the forgetting of these rewarded representations. It is discussed whether ontogenetic changes in sleep may play a role in conserving relevant but fragile memory representation.
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Affiliation(s)
- Alexander Prehn-Kristensen
- Department of Child and Adolescent Psychiatry and Psychotherapy, Centre for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Annie Böhmig
- Department of Child and Adolescent Psychiatry and Psychotherapy, Centre for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Juliane Schult
- Department of Psychology, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Anya Pedersen
- Department of Psychology, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Christian D Wiesner
- Department of Child and Adolescent Psychiatry and Psychotherapy, Centre for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University Kiel, Kiel, Germany.,Department of Psychology, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Lioba Baving
- Department of Child and Adolescent Psychiatry and Psychotherapy, Centre for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University Kiel, Kiel, Germany
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22
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Ahuja S, Chen RK, Kam K, Pettibone WD, Osorio RS, Varga AW. Role of normal sleep and sleep apnea in human memory processing. Nat Sci Sleep 2018; 10:255-269. [PMID: 30214331 PMCID: PMC6128282 DOI: 10.2147/nss.s125299] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
A fundamental problem in the field of obstructive sleep apnea (OSA) and memory is that it has historically minimized the basic neurobiology of sleep's role in memory. Memory formation has been classically divided into phases of encoding, processing/consolidation, and retrieval. An abundance of evidence suggests that sleep plays a critical role specifically in the processing/consolidation phase, but may do so differentially for memories that were encoded using particular brain circuits. In this review, we discuss some of the more established evidence for sleep's function in the processing of declarative, spatial navigational, emotional, and motor/procedural memories and more emerging evidence highlighting sleep's importance in higher order functions such as probabilistic learning, transitive inference, and category/gist learning. Furthermore, we discuss sleep's capacity for memory augmentation through targeted/cued memory reactivation. OSA - by virtue of its associated sleep fragmentation, intermittent hypoxia, and potential brain structural effects - is well positioned to specifically impact the processing/consolidation phase, but testing this possibility requires experimental paradigms in which memory encoding and retrieval are separated by a period of sleep with and without the presence of OSA. We argue that such paradigms should focus on the specific types of memory tasks for which sleep has been shown to have a significant effect. We discuss the small number of studies in which this has been done, in which OSA nearly uniformly negatively impacts offline memory processing. When periods of offline processing are minimal or absent and do not contain sleep, as is the case in the broad literature on OSA and memory, the effects of OSA on memory are far less consistent.
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Affiliation(s)
- Shilpi Ahuja
- Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA,
| | - Rebecca K Chen
- Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA,
| | - Korey Kam
- Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA,
| | - Ward D Pettibone
- Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA,
| | - Ricardo S Osorio
- Center for Brain Health, Department of Psychiatry, NYU School of Medicine, New York, NY, USA
| | - Andrew W Varga
- Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA,
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23
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Yordanova J, Kirov R, Verleger R, Kolev V. Dynamic coupling between slow waves and sleep spindles during slow wave sleep in humans is modulated by functional pre-sleep activation. Sci Rep 2017; 7:14496. [PMID: 29101344 PMCID: PMC5670140 DOI: 10.1038/s41598-017-15195-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 10/23/2017] [Indexed: 01/09/2023] Open
Abstract
Co-existent sleep spindles and slow waves have been viewed as a mechanism for offline information processing. Here we explored if the temporal synchronization between slow waves and spindle activity during slow wave sleep (SWS) in humans was modulated by preceding functional activations during pre-sleep learning. We activated differentially the left and right hemisphere before sleep by using a lateralized variant of serial response time task (SRTT) and verified these inter-hemispheric differences by analysing alpha and beta electroencephalographic (EEG) activities during learning. The stability and timing of coupling between positive and negative phases of slow waves and sleep spindle activity during SWS were quantified. Spindle activity was temporally synchronized with both positive (up-state) and negative (down-state) slow half waves. Synchronization of only the fast spindle activity was laterally asymmetric after learning, corresponding to hemisphere-specific activations before sleep. However, the down state was associated with decoupling, whereas the up-state was associated with increased coupling of fast spindle activity over the pre-activated hemisphere. These observations provide original evidence that (1) the temporal grouping of fast spindles by slow waves is a dynamic property of human SWS modulated by functional pre-sleep activation patterns, and (2) fast spindles synchronized by slow waves are functionally distinct.
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Affiliation(s)
- Juliana Yordanova
- Department of Neurology, University of Lübeck, Lübeck, Germany.
- Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria.
| | - Roumen Kirov
- Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Rolf Verleger
- Department of Neurology, University of Lübeck, Lübeck, Germany
- Institute of Psychology II, University of Lübeck, Lübeck, Germany
| | - Vasil Kolev
- Department of Neurology, University of Lübeck, Lübeck, Germany
- Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
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