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Szalárdy O, Simor P, Ujma PP, Jordán Z, Halász L, Erőss L, Fabó D, Bódizs R. Temporal association between sleep spindles and ripples in the human anterior and mediodorsal thalamus. Eur J Neurosci 2024; 59:641-661. [PMID: 38221670 DOI: 10.1111/ejn.16240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 12/01/2023] [Accepted: 12/08/2023] [Indexed: 01/16/2024]
Abstract
Sleep spindles are major oscillatory components of Non-Rapid Eye Movement (NREM) sleep, reflecting hyperpolarization-rebound sequences of thalamocortical neurons. Reports suggest a link between sleep spindles and several forms of high-frequency oscillations which are considered as expressions of pathological off-line neural plasticity in the central nervous system. Here we investigated the relationship between thalamic sleep spindles and ripples in the anterior and mediodorsal nuclei (ANT and MD) of epilepsy patients. Whole-night LFP from the ANT and MD were co-registered with scalp EEG/polysomnography by using externalized leads in 15 epilepsy patients undergoing a Deep Brain Stimulation protocol. Slow (~12 Hz) and fast (~14 Hz) sleep spindles were present in the human ANT and MD and roughly, 20% of them were associated with ripples. Ripple-associated thalamic sleep spindles were characterized by longer duration and exceeded pure spindles in terms of spindle power as indicated by time-frequency analysis. Furthermore, ripple amplitude was modulated by the phase of sleep spindles within both thalamic nuclei. No signs of pathological processes were correlated with measures of ripple and spindle association, furthermore, the density of ripple-associated sleep spindles in the ANT showed a positive correlation with verbal comprehension. Our findings indicate the involvement of the human thalamus in coalescent spindle-ripple oscillations of NREM sleep.
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Affiliation(s)
- Orsolya Szalárdy
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
- Institute of Cognitive Neuroscience and Psychology, Budapest, Hungary
| | - Péter Simor
- Institute of Psychology, ELTE, Eötvös Loránd University, Budapest, Hungary
- UR2NF, Neuropsychology and Functional Neuroimaging Research Unit at CRCN, Center for Research in Cognition and Neurosciences and UNI-ULB Neurosciences Institute, Université Libre de Bruxelles, Brussels, Belgium
| | | | - Zsófia Jordán
- National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary
| | - László Halász
- National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary
| | - Loránd Erőss
- National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary
| | - Dániel Fabó
- National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary
| | - Róbert Bódizs
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
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2
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Baena D, Toor B, Ray LB, Smith D, Kong P, Lopez J, Hoffmann R, Bertram H, Robillard R, Armitage R, Fogel SM. Sleep spindles in adolescents with major depressive disorder. J Affect Disord 2024; 344:535-545. [PMID: 37827259 DOI: 10.1016/j.jad.2023.10.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 09/26/2023] [Accepted: 10/08/2023] [Indexed: 10/14/2023]
Abstract
Sleep spindle differences in adolescents with major depressive disorder (MDD) compared to healthy adolescents is an ongoing debate. Results mostly indicate decreased sleep spindle activity in adolescents with MDD. Given that sleep spindles predominate NREM and that acutely delaying the sleep period via a "sleep delay challenge" (SDC) increases non-rapid eye movement (NREM) sleep duration, it may be possible to increase spindle density in adolescents with MDD, which may provide a therapeutic benefit to depression symptoms. Here, we examined the impact of a SDC on spindle density and depression symptomology in adolescents with MDD (n = 66) and healthy controls (n = 62) tested across three nights: adaptation, normal sleep, and a SDC night which delayed bedtime by three hours. The results showed that; (1) there was no difference in spindle density between groups on the normal sleep night, (2) following the SDC, both males and females with MDD had a decrease in the frequency of slow spindles, while only females with MDD had an increase in the frequency of fast spindles, (3) acute SDC reduced depression symptoms in both groups, and (4) light sleep on the normal sleep night and slow spindle frequency at SDC predicted an 8 % improvement in depression symptoms, regardless of sex or MDD diagnosis. Taken together, these results suggest that; (a) spindles may be a useful biological marker of depression symptomatology regardless of clinical MDD diagnosis, and (b) that acute SDC may help alleviate depression symptoms in adolescents with MDD.
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Affiliation(s)
- D Baena
- School of Psychology, University of Ottawa, Ottawa K1N 6N5, Canada; Sleep Research Unit, The Royal's Institute of Mental Health Research, Ottawa K1Z 7K4, Canada
| | - B Toor
- School of Psychology, University of Ottawa, Ottawa K1N 6N5, Canada; Sleep Research Unit, The Royal's Institute of Mental Health Research, Ottawa K1Z 7K4, Canada
| | - L B Ray
- School of Psychology, University of Ottawa, Ottawa K1N 6N5, Canada
| | - D Smith
- School of Psychology, University of Ottawa, Ottawa K1N 6N5, Canada; Sleep Research Unit, The Royal's Institute of Mental Health Research, Ottawa K1Z 7K4, Canada
| | - P Kong
- School of Psychology, University of Ottawa, Ottawa K1N 6N5, Canada
| | - J Lopez
- Department of Psychiatry, University of Michigan, MI 48109, USA; Department of Clinical and Diagnostic Sciences, University of Alabama at Birmingham, Birmingham 35294, USA
| | - R Hoffmann
- Department of Psychiatry, University of Michigan, MI 48109, USA
| | - H Bertram
- Department of Psychiatry, University of Michigan, MI 48109, USA
| | - R Robillard
- School of Psychology, University of Ottawa, Ottawa K1N 6N5, Canada; Sleep Research Unit, The Royal's Institute of Mental Health Research, Ottawa K1Z 7K4, Canada
| | - R Armitage
- Department of Psychiatry, University of Michigan, MI 48109, USA
| | - S M Fogel
- School of Psychology, University of Ottawa, Ottawa K1N 6N5, Canada; Sleep Research Unit, The Royal's Institute of Mental Health Research, Ottawa K1Z 7K4, Canada; University of Ottawa Brain & Mind Research Institute, Ottawa K1H 8M5, Canada.
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Dehnavi F, Koo-Poeggel PC, Ghorbani M, Marshall L. Memory ability and retention performance relate differentially to sleep depth and spindle type. iScience 2023; 26:108154. [PMID: 37876817 PMCID: PMC10590735 DOI: 10.1016/j.isci.2023.108154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 08/09/2023] [Accepted: 10/03/2023] [Indexed: 10/26/2023] Open
Abstract
Temporal interactions between non-rapid eye movement (NREM) sleep rhythms especially the coupling between cortical slow oscillations (SO, ∼1 Hz) and thalamic spindles (∼12 Hz) have been proposed to contribute to multi-regional interactions crucial for memory processing and cognitive ability. We investigated relationships between NREM sleep depth, sleep spindles and SO-spindle coupling regarding memory ability and memory consolidation in healthy humans. Findings underscore the functional relevance of spindle dynamics (slow versus fast), SO-phase, and most importantly NREM sleep depth for cognitive processing. Cross-frequency coupling analyses demonstrated stronger precise temporal coordination of slow spindles to SO down-state in N2 for subjects with higher general memory ability. A GLM model underscored this relationship, and furthermore that fast spindle properties were predictive of overnight memory consolidation. Our results suggest cognitive fingerprints dependent on conjoint fine-tuned SO-spindle temporal coupling, spindle properties, and brain sleep state.
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Affiliation(s)
- Fereshteh Dehnavi
- Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran
- Center for International Scientific Studies & Collaborations (CISSC), Shahid Azodi Street, Karim-Khane Zand Boulevard, Tehran 15875-7788, Iran
| | - Ping Chai Koo-Poeggel
- Institute of Experimental and Clinical Pharmacology and Toxicology, University of Luebeck, Ratzeburger Allee 160, Bldg. 66, 23562 Luebeck, Germany
- Center for Brain, Behavior and Metabolism, University of Luebeck, 23562 Luebeck, Germany
| | - Maryam Ghorbani
- Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran
- Rayan Center for Neuroscience and Behavior, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran
- Center for International Scientific Studies & Collaborations (CISSC), Shahid Azodi Street, Karim-Khane Zand Boulevard, Tehran 15875-7788, Iran
| | - Lisa Marshall
- Institute of Experimental and Clinical Pharmacology and Toxicology, University of Luebeck, Ratzeburger Allee 160, Bldg. 66, 23562 Luebeck, Germany
- Center for Brain, Behavior and Metabolism, University of Luebeck, 23562 Luebeck, Germany
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Ujma PP, Bódizs R, Dresler M, Simor P, Purcell S, Stone KL, Yaffe K, Redline S. Multivariate prediction of cognitive performance from the sleep electroencephalogram. Neuroimage 2023; 279:120319. [PMID: 37574121 PMCID: PMC10661862 DOI: 10.1016/j.neuroimage.2023.120319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 08/06/2023] [Accepted: 08/10/2023] [Indexed: 08/15/2023] Open
Abstract
Human cognitive performance is a key function whose biological foundations have been partially revealed by genetic and brain imaging studies. The sleep electroencephalogram (EEG) is tightly linked to structural and functional features of the central nervous system and serves as another promising biomarker. We used data from MrOS, a large cohort of older men and cross-validated regularized regression to link sleep EEG features to cognitive performance in cross-sectional analyses. In independent validation samples 2.5-10% of variance in cognitive performance can be accounted for by sleep EEG features, depending on the covariates used. Demographic characteristics account for more covariance between sleep EEG and cognition than health variables, and consequently reduce this association by a greater degree, but even with the strictest covariate sets a statistically significant association is present. Sigma power in NREM and beta power in REM sleep were associated with better cognitive performance, while theta power in REM sleep was associated with worse performance, with no substantial effect of coherence and other sleep EEG metrics. Our findings show that cognitive performance is associated with the sleep EEG (r = 0.283), with the strongest effect ascribed to spindle-frequency activity. This association becomes weaker after adjusting for demographic (r = 0.186) and health variables (r = 0.155), but its resilience to covariate inclusion suggest that it also partially reflects trait-like differences in cognitive ability.
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Affiliation(s)
- Péter P Ujma
- Semmelweis University, Institute of Behavioural Sciences, Budapest, Hungary.
| | - Róbert Bódizs
- Semmelweis University, Institute of Behavioural Sciences, Budapest, Hungary
| | - Martin Dresler
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands
| | - Péter Simor
- Institute of Psychology, Eötvös Loránd University, Budapest, Hungary
| | - Shaun Purcell
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Harvard University, USA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Kristine Yaffe
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA; Department of Psychiatry, University of California, San Francisco, California, USA; Department of Neurology, University of California, San Francisco, California, USA; San Francisco VA Medical Center, San Francisco, California, USA
| | - Susan Redline
- Brigham and Women's Hospital, Harvard University, Boston, MA, USA
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5
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Season is related to the slow wave and sigma activity of infants and toddlers. Sleep Med 2022; 100:364-377. [PMID: 36201888 DOI: 10.1016/j.sleep.2022.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 09/05/2022] [Accepted: 09/08/2022] [Indexed: 01/12/2023]
Abstract
OBJECTIVE/BACKGROUND Slow wave activity (SWA) and sigma frequency activity (SFA) are hallmarks of NREM sleep EEG and important indicators of neural plasticity, development of the central nervous system, and cognition. However, little is known about the factors that modulate these sleep EEG activities, especially in small children. PATIENTS/METHODS We analyzed the power spectral densities of SWA (1-4 Hz) and SFA range (10-15 Hz) from six EEG derivations of 56 infants (8 months) and 60 toddlers (24 months) during their all-night sleep and during the first and the last half of night sleep. The spectral values were compared between the four seasons. RESULTS In the spring group of infants, compared with the darker seasons, SFA was lower in the centro-occipital EEG derivations during both halves of the night. The SWA findings of the infants were restricted to the last half of the night (SWA2) and frontally, where SWA2 was higher during winter than spring. The toddlers presented less frontal SWA2 during winter compared with autumn. Both age groups showed a reduction in both SWA and SFA towards the last half of the night. CONCLUSIONS The sleep EEG spectral power densities are more often associated with seasons in infants' SFA range. The results might stem from seasonally changing light exposure, but the exact mechanism warrants further study. Moreover, contrary to the adult-like increment of SFA, the SFA at both ages was lower at the last part of the night sleep. This suggests different regulation of spindle activity in infants and toddlers.
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6
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Baena D, Fang Z, Ray LB, Owen AM, Fogel SM. Brain activations time locked to slow wave-coupled sleep spindles correlates with intellectual abilities. Cereb Cortex 2022; 33:5409-5419. [PMID: 36336346 DOI: 10.1093/cercor/bhac428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 10/03/2022] [Accepted: 10/04/2022] [Indexed: 11/09/2022] Open
Abstract
Abstract
Sleep spindles (SP) are one of the few known electrophysiological neuronal biomarkers of interindividual differences in cognitive abilities and aptitudes. Recent simultaneous electroencephalography with functional magnetic resonance imaging (EEG-fMRI) studies suggest that the magnitude of the activation of brain regions recruited during spontaneous spindle events is specifically related to Reasoning abilities. However, it is not known if the relationship with cognitive abilities differs between uncoupled spindles, uncoupled slow waves (SW), and coupled SW–SP complexes, nor have the functional-neuroanatomical substrates that support this relationship been identified. Here, we investigated the functional significance of activation of brain areas recruited during SW-coupled spindles, uncoupled spindles, and uncoupled slow waves. We hypothesize that brain activations time locked to SW-coupled spindle complexes will be primarily associated to Reasoning abilities, especially in subcortical areas. Our results provide direct evidence that the relationship between Reasoning abilities and sleep spindles depends on spindle coupling status. Specifically, we found that the putamen and thalamus, recruited during coupled SW–SP events were positively correlated with Reasoning abilities. In addition, we found a negative association between Reasoning abilities and hippocampal activation time-locked to uncoupled SWs that might reflect a refractory mechanism in the absence of new, intensive hippocampal-dependent memory processing.
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Affiliation(s)
- Daniel Baena
- Sleep Unit, University of Ottawa Institute of Mental Health Research at The Royal , Ontario K1Z 7K4, Ottawa, Canada
| | - Zhuo Fang
- School of Psychology, University of Ottawa , Ottawa, Ontario K1N 6N5, Canada
| | - Laura B Ray
- School of Psychology, University of Ottawa , Ottawa, Ontario K1N 6N5, Canada
| | - Adrian M Owen
- The Brain & Mind Institute, Western University , London, Ontario N6A 5B7, Canada
- Department of Physiology and Pharmacology and Department of Psychology, Western University , London, Ontario N6A 5C1, Canada
| | - Stuart M Fogel
- Sleep Unit, University of Ottawa Institute of Mental Health Research at The Royal , Ontario K1Z 7K4, Ottawa, Canada
- School of Psychology, University of Ottawa , Ottawa, Ontario K1N 6N5, Canada
- University of Ottawa, Brain & Mind Research Institute , Ontario K1N 6N5, Ottawa, Canada
- The Brain & Mind Institute, Western University , London, Ontario N6A 5B7, Canada
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7
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Ganz M, Jacobs M, Alessandro C, Sabzanov S, Karp A, Wei L, Miller D. Physical Activity and Sleeping Duration Among Adolescents in the US. Cureus 2022; 14:e29669. [DOI: 10.7759/cureus.29669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/27/2022] [Indexed: 11/05/2022] Open
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8
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Jones MR, Brandner AJ, Vendruscolo LF, Vendruscolo JCM, Koob GF, Schmeichel BE. Effects of Alcohol Withdrawal on Sleep Macroarchitecture and Microarchitecture in Female and Male Rats. Front Neurosci 2022; 16:838486. [PMID: 35757544 PMCID: PMC9226367 DOI: 10.3389/fnins.2022.838486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 02/22/2022] [Indexed: 11/17/2022] Open
Abstract
The prevalence of sleep disruptions is higher among people with alcohol use disorder (AUD), particularly during alcohol withdrawal, compared to non-AUD individuals. Although women generally have a higher risk of developing sleep disorders, few studies have investigated sex differences in sleep disruptions following chronic alcohol exposure. The present study examined sleep macroarchitecture (time spent asleep or awake and sleep onset latency) and microarchitecture (bout rate and duration and sleep spindle characterization) prior to alcohol vapor exposure (baseline), during acute withdrawal, and through protracted abstinence in female and male rats. Females and males showed reduced time in rapid eye movement (REM) sleep during acute withdrawal, which returned to baseline levels during protracted abstinence. REM sleep onset latency was decreased during protracted abstinence in females only. Furthermore, there was a sex difference observed in overall REM sleep bout rate. Although there were no changes in non-REM sleep time, or to non-REM sleep bout rate or duration, there was an increase in non-REM sleep intra-spindle frequency during acute withdrawal in both females and males. Finally, there was increased wakefulness time and bout duration during acute withdrawal in both females and males. The results demonstrate both macroarchitectural and microarchitectural changes in sleep following chronic alcohol exposure, particularly during acute withdrawal, suggesting the need for therapeutic interventions for sleep disturbances during withdrawal in individuals with AUD. Furthermore, sex differences were observed in REM sleep, highlighting the importance of including both sexes in future alcohol-related sleep studies.
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Affiliation(s)
- Marissa R Jones
- Department of Biomedical Sciences, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
| | - Adam J Brandner
- Neurobiology of Addiction Section, Integrative Neuroscience Research Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, MD, United States
| | - Leandro F Vendruscolo
- Neurobiology of Addiction Section, Integrative Neuroscience Research Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, MD, United States
| | - Janaina C M Vendruscolo
- Neurobiology of Addiction Section, Integrative Neuroscience Research Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, MD, United States
| | - George F Koob
- Neurobiology of Addiction Section, Integrative Neuroscience Research Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, MD, United States
| | - Brooke E Schmeichel
- Department of Biomedical Sciences, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States.,Neurobiology of Addiction Section, Integrative Neuroscience Research Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, MD, United States
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9
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Association of polygenic risk for schizophrenia with fast sleep spindle density depends on pro-cognitive variants. Eur Arch Psychiatry Clin Neurosci 2022; 272:1193-1203. [PMID: 35723738 PMCID: PMC9508216 DOI: 10.1007/s00406-022-01435-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/15/2022] [Indexed: 11/14/2022]
Abstract
Cognitive impairment is a common feature in schizophrenia and the strongest prognostic factor for long-term outcome. Identifying a trait associated with the genetic background for cognitive outcome in schizophrenia may aid in a deeper understanding of clinical disease subtypes. Fast sleep spindles may represent such a biomarker as they are strongly genetically determined, associated with cognitive functioning and impaired in schizophrenia and unaffected relatives. We measured fast sleep spindle density in 150 healthy adults and investigated its association with a genome-wide polygenic score for schizophrenia (SCZ-PGS). The association between SCZ-PGS and fast spindle density was further characterized by stratifying it to the genetic background of intelligence. SCZ-PGS was positively associated with fast spindle density. This association mainly depended on pro-cognitive genetic variants. Our results strengthen the evidence for a genetic background of spindle abnormalities in schizophrenia. Spindle density might represent an easily accessible marker for a favourable cognitive outcome which should be further investigated in clinical samples.
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10
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Page J, Wakschlag LS, Norton ES. Nonrapid eye movement sleep characteristics and relations with motor, memory, and cognitive ability from infancy to preadolescence. Dev Psychobiol 2021; 63:e22202. [PMID: 34813099 PMCID: PMC8898567 DOI: 10.1002/dev.22202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 07/31/2021] [Accepted: 09/13/2021] [Indexed: 01/25/2023]
Abstract
Sleep plays a critical role in neural neurodevelopment. Hallmarks of sleep reflected in the electroencephalogram during nonrapid eye movement (NREM) sleep are associated with learning processes, cognitive ability, memory, and motor functioning. Research in adults is well-established; however, the role of NREM sleep in childhood is less clear. Growing evidence suggests the importance of two NREM sleep features: slow-wave activity and sleep spindles. These features may be critical for understanding maturational change and the functional role of sleep during development. Here, we review the literature on NREM sleep from infancy to preadolescence to provide insight into the network dynamics of the developing brain. The reviewed findings show distinct relations between topographical and maturational aspects of slow waves and sleep spindles; however, the direction and consistency of these relationships vary, and associations with cognitive ability remain unclear. Future research investigating the role of NREM sleep and development would benefit from longitudinal approaches, increased control for circadian and homeostatic influences, and in early childhood, studies recording daytime naps and overnight sleep to yield increased precision for detecting age-related change. Such evidence could help explicate the role of NREM sleep and provide putative physiological markers of neurodevelopment.
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Affiliation(s)
- Jessica Page
- Roxelyn and Richard Pepper Department of Communication
Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
- Northwestern University Institute for Innovations in
Developmental Sciences, Chicago, Illinois, USA
| | - Lauren S. Wakschlag
- Northwestern University Institute for Innovations in
Developmental Sciences, Chicago, Illinois, USA
- Department of Medical Social Sciences, Feinberg School of
Medicine, Northwestern, University, Chicago, Illinois, USA
| | - Elizabeth S. Norton
- Roxelyn and Richard Pepper Department of Communication
Sciences and Disorders, Northwestern University, Evanston, Illinois, USA
- Northwestern University Institute for Innovations in
Developmental Sciences, Chicago, Illinois, USA
- Department of Medical Social Sciences, Feinberg School of
Medicine, Northwestern, University, Chicago, Illinois, USA
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11
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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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12
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The relationship between cognitive ability and BOLD activation across sleep-wake states. Brain Imaging Behav 2021; 16:305-315. [PMID: 34432229 DOI: 10.1007/s11682-021-00504-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2021] [Indexed: 10/20/2022]
Abstract
The sleep spindle, a waxing and waning oscillation in the sigma frequency range, has been shown to correlate with fluid intelligence; i.e. the ability to use logic, learn novel rules/patterns, and solve problems. Using simultaneous EEG and fMRI, we previously identified the neural correlates of this relationship, including activation of the thalamus, bilateral putamen, medial frontal gyrus, middle cingulate cortex, and precuneus. However, research to date has focussed primarily on non-rapid eye movement (NREM) sleep, and spindles per se, thus overlooking the possibility that brain activity that occurs in other sleep-wake states might also be related to cognitive abilities. In our current study, we sought to investigate whether brain activity across sleep/wake states is also related to human intelligence in N = 29 participants. During NREM sleep, positive correlations were observed between fluid intelligence and blood oxygen level dependent (BOLD) activations in the bilateral putamen and the paracentral lobule/precuneus, as well as between short-term memory (STM) abilities and activity in the medial frontal cortex and inferior frontal gyrus. During wake, activity in bilateral postcentral gyri and occipital lobe was positively correlated with short-term memory abilities. In participants who experienced REM sleep in the scanner, fluid intelligence was positively associated with midbrain activation, and verbal intelligence was associated with right postcentral gyrus activation. These findings provide evidence that the relationship between sleep and intellectual abilities exists beyond sleep spindles.
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Saravanapandian V, Nadkarni D, Hsu SH, Hussain SA, Maski K, Golshani P, Colwell CS, Balasubramanian S, Dixon A, Geschwind DH, Jeste SS. Abnormal sleep physiology in children with 15q11.2-13.1 duplication (Dup15q) syndrome. Mol Autism 2021; 12:54. [PMID: 34344470 PMCID: PMC8336244 DOI: 10.1186/s13229-021-00460-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 07/21/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Sleep disturbances in autism spectrum disorder (ASD) represent a common and vexing comorbidity. Clinical heterogeneity amongst these warrants studies of the mechanisms associated with specific genetic etiologies. Duplications of 15q11.2-13.1 (Dup15q syndrome) are highly penetrant for neurodevelopmental disorders (NDDs) such as intellectual disability and ASD, as well as sleep disturbances. Genes in the 15q region, particularly UBE3A and a cluster of GABAA receptor genes, are critical for neural development, synaptic protein synthesis and degradation, and inhibitory neurotransmission. During awake electroencephalography (EEG), children with Dup15q syndrome demonstrate increased beta band oscillations (12-30 Hz) that likely reflect aberrant GABAergic neurotransmission. Healthy sleep rhythms, necessary for robust cognitive development, are also highly dependent on GABAergic neurotransmission. We therefore hypothesized that sleep physiology would be abnormal in children with Dup15q syndrome. METHODS To test the hypothesis that elevated beta oscillations persist in sleep in Dup15q syndrome and that NREM sleep rhythms would be disrupted, we computed: (1) beta power, (2) spindle density, and (3) percentage of slow-wave sleep (SWS) in overnight sleep EEG recordings from a cohort of children with Dup15q syndrome (n = 15) and compared them to age-matched neurotypical children (n = 12). RESULTS Children with Dup15q syndrome showed abnormal sleep physiology with elevated beta power, reduced spindle density, and reduced or absent SWS compared to age-matched neurotypical controls. LIMITATIONS This study relied on clinical EEG where sleep staging was not available. However, considering that clinical polysomnograms are challenging to collect in this population, the ability to quantify these biomarkers on clinical EEG-routinely ordered for epilepsy monitoring-opens the door for larger-scale studies. While comparable to other human studies in rare genetic disorders, a larger sample would allow for examination of the role of seizure severity, medications, and developmental age that may impact sleep physiology. CONCLUSIONS We have identified three quantitative EEG biomarkers of sleep disruption in Dup15q syndrome, a genetic condition highly penetrant for ASD. Insights from this study not only promote a greater mechanistic understanding of the pathophysiology defining Dup15q syndrome, but also lay the foundation for studies that investigate the association between sleep and cognition. Abnormal sleep physiology may undermine healthy cognitive development and may serve as a quantifiable and modifiable target for behavioral and pharmacological interventions.
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Affiliation(s)
- Vidya Saravanapandian
- Center for Autism Research and Treatment, Semel Institute for Neuroscience, University of California, Los Angeles, Los Angeles, CA, 90024, USA. .,Neuroscience Interdepartmental Ph.D. Program, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
| | - Divya Nadkarni
- Division of Pediatric Epilepsy, Department of Pediatric Neurology, Children's Hospital Medical Center of Akron, Akron, OH, 44308, USA
| | - Sheng-Hsiou Hsu
- Swartz Center for Computational Neuroscience, UC San Diego, La Jolla, USA
| | - Shaun A Hussain
- Division of Pediatric Neurology, David Geffen School of Medicine, UCLA Mattel Children's Hospital, Los Angeles, CA, USA
| | - Kiran Maski
- Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Peyman Golshani
- Department of Neurology and Semel Institute for Neuroscience, David Geffen School of Medicine, 710 Westwood Plaza, Los Angeles, CA, 90095, USA.,West Los Angeles VA Medical Center, 11301 Wilshire Blvd, Los Angeles, CA, 90073, USA
| | - Christopher S Colwell
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | | | - Amos Dixon
- Undergraduate Interdepartmental Program for Neuroscience, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Daniel H Geschwind
- Center for Autism Research and Treatment, Semel Institute for Neuroscience, University of California, Los Angeles, Los Angeles, CA, 90024, USA
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14
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Ruiz-Herrera N, Cellini N, Prehn-Kristensen A, Guillén-Riquelme A, Buela-Casal G. Characteristics of sleep spindles in school-aged children with attention-deficit/hyperactivity disorder. RESEARCH IN DEVELOPMENTAL DISABILITIES 2021; 112:103896. [PMID: 33607483 DOI: 10.1016/j.ridd.2021.103896] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 02/05/2021] [Accepted: 02/05/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVE Attention deficit/hyperactivity disorder (ADHD) is a complex disorder, characterized by different presentations with distinct cognitive and neurobiological characterizations. Here we aimed to investigate whether sleep spindle activity, which has been associated with brain maturation, may be a potential biomarker able to differentiate ADHD presentations in school-aged children (7-11 years). METHOD Spindle characteristics were extracted from overnight polysomnography in 74 children (27 ADHD-Inattentive [IQ = 96.04], 25 ADHD-hyperactive/impulsive [IQ = 98.9], and 22 ADHD-combined [IQ = 96.1]). We obtained data of the frontal (Fz) and parietal (Pz) derivations using a validated spindle detection algorithm. RESULTS Children with ADHD showed a higher number and density of slow compared to fast spindles which were more frequent in frontal area. No differences were observed among ADHD presentations for any spindle characteristics. Spindle frequency and density increased with age, indicating an age-dependent maturation of different sleep spindles. However, no associations between IQ and spindle characteristics were observed. CONCLUSIONS In children with ADHD the spindle characteristics evolve with age but sleep spindle activity does not seem to be a valid biomarker of ADHD phenotypes or general cognitive ability.
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Affiliation(s)
- Noelia Ruiz-Herrera
- Department of Health Sciences, International University of La Rioja, La Rioja, Spain.
| | - Nicola Cellini
- Department of General Psychology, University of Padova, Italy
| | - Alexander Prehn-Kristensen
- Department of Child and Adolescent Psychiatry and Psychotherapy, Center for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University Kiel, Germany
| | | | - Gualberto Buela-Casal
- Sleep and Health Promotion Laboratory, Mind, Brain, and Behavior Research Center (CIMCYC), University of Granada, Spain
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15
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Bódizs R, Szalárdy O, Horváth C, Ujma PP, Gombos F, Simor P, Pótári A, Zeising M, Steiger A, Dresler M. A set of composite, non-redundant EEG measures of NREM sleep based on the power law scaling of the Fourier spectrum. Sci Rep 2021; 11:2041. [PMID: 33479280 PMCID: PMC7820008 DOI: 10.1038/s41598-021-81230-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 12/28/2020] [Indexed: 01/09/2023] Open
Abstract
Features of sleep were shown to reflect aging, typical sex differences and cognitive abilities of humans. However, these measures are characterized by redundancy and arbitrariness. Our present approach relies on the assumptions that the spontaneous human brain activity as reflected by the scalp-derived electroencephalogram (EEG) during non-rapid eye movement (NREM) sleep is characterized by arrhythmic, scale-free properties and is based on the power law scaling of the Fourier spectra with the additional consideration of the rhythmic, oscillatory waves at specific frequencies, including sleep spindles. Measures derived are the spectral intercept and slope, as well as the maximal spectral peak amplitude and frequency in the sleep spindle range, effectively reducing 191 spectral measures to 4, which were efficient in characterizing known age-effects, sex-differences and cognitive correlates of sleep EEG. Future clinical and basic studies are supposed to be significantly empowered by the efficient data reduction provided by our approach.
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Affiliation(s)
- Róbert Bódizs
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary. .,Epilepsy Center, National Institute of Clinical Neurosciences, Budapest, Hungary.
| | - Orsolya Szalárdy
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.,Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary
| | - Csenge Horváth
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
| | - Péter P Ujma
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.,Epilepsy Center, National Institute of Clinical Neurosciences, Budapest, Hungary
| | - Ferenc Gombos
- Department of General Psychology, Pázmány Péter Catholic University, Budapest, Hungary.,MTA-PPKE Adolescent Development Research Group, Budapest, Hungary
| | - Péter Simor
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.,Institute of Psychology, ELTE, Eötvös Loránd University, Budapest, Hungary.,UR2NF, Neuropsychology and Functional Neuroimaging Research Unit At CRCN - Center for Research in Cognition and Neurosciences and UNI - ULB Neurosciences Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Adrián Pótári
- MTA-PPKE Adolescent Development Research Group, Budapest, Hungary.,Doctoral School of Psychology (Cognitive Science), Budapest University of Technology and Economics, Budapest, Hungary
| | - Marcel Zeising
- Max Planck Institute of Psychiatry, Research Group Sleep Endocrinology, Munich, Germany.,Centre of Mental Health, Klinikum Ingolstadt, Ingolstadt, Germany
| | - Axel Steiger
- Max Planck Institute of Psychiatry, Research Group Sleep Endocrinology, Munich, Germany
| | - Martin Dresler
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
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16
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Martini M, Marhenke R, Martini C, Rossi S, Sachse P. Individual differences in working memory capacity moderate effects of post-learning activity on memory consolidation over the long term. Sci Rep 2020; 10:17976. [PMID: 33087750 PMCID: PMC7578020 DOI: 10.1038/s41598-020-74760-z] [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: 07/30/2019] [Accepted: 09/24/2020] [Indexed: 11/09/2022] Open
Abstract
Similar to sleeping after learning, a brief period of wakeful resting after encoding new information supports memory retention in contrast to task-related cognition. Recent evidence suggests that working memory capacity (WMC) is related to sleep-dependent declarative memory consolidation. We tested whether WMC moderates the effect of a brief period of wakeful resting compared to performing a distractor task subsequent to encoding a word list. Participants encoded and immediately recalled a word list followed by either an 8 min wakeful resting period (eyes closed, relaxed) or by performing an adapted version of the d2 test of attention for 8 min. At the end of the experimental session (after 12–24 min) and again, after 7 days, participants were required to complete a surprise free recall test of both word lists. Our results show that interindividual differences in WMC are a central moderating factor for the effect of post-learning activity on memory retention. The difference in word retention between a brief period of wakeful resting versus performing a selective attention task subsequent to encoding increased in higher WMC individuals over a retention interval of 12–24 min, as well as over 7 days. This effect was reversed in lower WMC individuals. Our results extend findings showing that WMC seems not only to moderate sleep-related but also wakeful resting-related memory consolidation.
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17
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Weber FD, Supp GG, Klinzing JG, Mölle M, Engel AK, Born J. Coupling of gamma band activity to sleep spindle oscillations - a combined EEG/MEG study. Neuroimage 2020; 224:117452. [PMID: 33059050 DOI: 10.1016/j.neuroimage.2020.117452] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 10/01/2020] [Accepted: 10/07/2020] [Indexed: 11/30/2022] Open
Abstract
Sleep spindles are crucial to memory consolidation. Cortical gamma oscillations (30-100 Hz) are considered to reflect processing of memory in local cortical networks. The temporal and regulatory relationship between spindles and gamma activity might therefore provide clues into how sleep strengthens cortical memory representations. Here, combining EEG with MEG recordings during sleep in healthy humans (n = 12), we investigated the temporal relationships of cortical gamma band activity, always measured by MEG, during fast (12-16 Hz) and slow (8-12 Hz) sleep spindles detected in the EEG or MEG. Time-frequency distributions did not show a consistent coupling of gamma to the spindle oscillation, although activity in the low gamma (30-40 Hz) and neighboring beta range (<30 Hz) was generally increased during spindles. However, more fine-grained analyses of cross-frequency interactions revealed that both low and high gamma power (30-100 Hz) was coupled to the phase of slow and fast EEG spindles, importantly, with this coupling at a fixed phase only for the oscillations within an individual spindle, but with variable phase across spindles. We did not observe any coupling of gamma activity for spindles detected solely in the MEG and not in parallel EEG recordings, raising the possibility that these are more local spindles of different quality. Similar to fast spindle activity, low gamma band power followed a ~0.025 Hz infraslow rhythm during sleep whose frequency, however, was significantly faster than that of spindle activity. Our findings suggest a general function of fast and slow spindles that by spanning larger cortical networks might serve to synchronize gamma band activity occurring in more local but distributed networks. Thereby, spindles might help linking local memory processing between distributed networks.
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Affiliation(s)
- Frederik D Weber
- Institute of Medical Psychology and Behavioural Neurobiology, University of Tübingen, 72076 Tübingen, Otfried-Müller-Str. 25, Germany.
| | - Gernot G Supp
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Martinistraße 52, Building N43, Germany
| | - Jens G Klinzing
- Institute of Medical Psychology and Behavioural Neurobiology, University of Tübingen, 72076 Tübingen, Otfried-Müller-Str. 25, Germany
| | - Matthias Mölle
- Department of Neuroendocrinology, University of Lübeck, 23538 Lübeck, Ratzeburger Allee 160, Germany
| | - Andreas K Engel
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Martinistraße 52, Building N43, Germany
| | - Jan Born
- Institute of Medical Psychology and Behavioural Neurobiology, University of Tübingen, 72076 Tübingen, Otfried-Müller-Str. 25, Germany; Centre for Integrative Neuroscience, University of Tübingen, 72076 Tübingen, Otfried-Müller-Str. 25, Germany.
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18
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24-h polysomnographic recordings and electrophysiological spectral analyses from a cohort of patients with chronic disorders of consciousness. J Neurol 2020; 267:3650-3663. [DOI: 10.1007/s00415-020-10076-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 07/08/2020] [Accepted: 07/10/2020] [Indexed: 10/23/2022]
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19
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Sleep, rest-activity fragmentation and structural brain changes related to the ageing process. Curr Opin Behav Sci 2020. [DOI: 10.1016/j.cobeha.2019.11.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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20
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Ujma PP, Bódizs R, Dresler M. Sleep and intelligence: critical review and future directions. Curr Opin Behav Sci 2020. [DOI: 10.1016/j.cobeha.2020.01.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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21
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Sleep during development: Sex and gender differences. Sleep Med Rev 2020; 51:101276. [DOI: 10.1016/j.smrv.2020.101276] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 11/16/2019] [Accepted: 01/23/2020] [Indexed: 01/19/2023]
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22
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Gorgoni M, D'Atri A, Scarpelli S, Reda F, De Gennaro L. Sleep electroencephalography and brain maturation: developmental trajectories and the relation with cognitive functioning. Sleep Med 2020; 66:33-50. [PMID: 31786427 DOI: 10.1016/j.sleep.2019.06.025] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 06/24/2019] [Accepted: 06/25/2019] [Indexed: 02/06/2023]
Affiliation(s)
- M Gorgoni
- Department of Psychology, University of Rome "Sapienza", Rome, Italy
| | - A D'Atri
- Department of Psychology, University of Rome "Sapienza", Rome, Italy
| | - S Scarpelli
- Department of Psychology, University of Rome "Sapienza", Rome, Italy
| | - F Reda
- Department of Psychology, University of Rome "Sapienza", Rome, Italy
| | - L De Gennaro
- Department of Psychology, University of Rome "Sapienza", Rome, Italy; IRCCS Santa Lucia Foundation, Rome, Italy.
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23
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Meers J, Ferri R, Bruni O, Alfano CA. Sleep spindle density is associated with worry in children with generalized anxiety disorder and healthy controls. J Affect Disord 2020; 260:418-425. [PMID: 31539675 PMCID: PMC6880871 DOI: 10.1016/j.jad.2019.09.065] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 09/06/2019] [Accepted: 09/13/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND Childhood generalized anxiety disorder (GAD), characterized by uncontrollable worry, is associated with long-term psychopathology risk, yet understanding of developmental trajectories is limited. Despite common complaints about sleep, 'macro' sleep abnormalities have not been identified. Emerging findings suggest micro-architectural features of sleep, including sleep spindles, differentiate various psychiatric populations. The current study investigated sleep spindle density during non-rapid eye movement (NREM) sleep among youth with GAD and healthy controls, including relationships with anxiety, worry, global functioning, and subjective sleep quality. METHODS 58 pre-pubertal children, n = 26 with GAD and n = 32 matched healthy controls, aged 7-11 years (M = 8.86, SD=1.47), completed diagnostic assessments and a week of actigraphy monitoring prior to a night of polysomnography (PSG) either at home or in a sleep laboratory. NREM spindle activity was detected in frontal and central regions. RESULTS Sleep spindle activity did not differ based on diagnostic group or sex. Sleep spindles were unassociated with anxiety and sleep quality but showed a significant positive association with worry in all youth. Among youth with GAD, global functioning was negatively associated with spindle density in frontal regions during NREM stage 3. Spindle density was significantly greater during in-lab compared to at-home PSG. LIMITATIONS The small sample size and reliance on only one night of PSG necessitate additional studies. CONCLUSIONS The identified link between spindle activity and worry in pre-pubertal children highlights a need for investigations on transdiagnostic features of child psychopathology rather than specific disorders. Longitudinal studies are needed to explore spindle characteristics and affective risk across development.
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Affiliation(s)
| | | | - Oliviero Bruni
- Sapienza University of Rome, Department of Developmental and Social Psychology
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24
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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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25
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Aguilar DD, Strecker RE, Basheer R, McNally JM. Alterations in sleep, sleep spindle, and EEG power in mGluR5 knockout mice. J Neurophysiol 2019; 123:22-33. [PMID: 31747354 DOI: 10.1152/jn.00532.2019] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
The type 5 metabotropic glutamate receptor (mGluR5) represents a novel therapeutic target for schizophrenia and other disorders. Schizophrenia is associated with progressive abnormalities in cortical oscillatory processes including reduced spindles (8-15 Hz) during sleep and increased delta (0.5-4 Hz)- and gamma-band activity (30-80 Hz) during wakefulness. mGluR5 knockout (KO) mice demonstrate many schizophrenia-like behaviors, including abnormal sleep. To examine the effects of mGluR5 on the maintenance of the neocortical circuitry responsible for such neural oscillations, we analyzed sleep/wake electroencephalographic (EEG) activity of mGluR5 KO mice at baseline, after 6 h of sleep deprivation, and during a visual method of cortical entrainment (visual steady state response). We hypothesized mGluR5-KO mice would exhibit translationally relevant abnormalities in sleep and neural oscillations that mimic schizophrenia. Power spectral and spindle density analyses were performed across 24-h EEG recordings in mGluR5-KO mice and wild-type (WT) controls. Novel findings in mGluR5 KO mice include deficits in sleep spindle density, wake alpha power, and 40-Hz visual task-evoked gamma power and phase locking. Sigma power (10-15 Hz), an approximation of spindle activity, was also reduced during non-rapid eye movement sleep transitions. Our observations on abnormal sleep/wake are generally in agreement with previous reports, although we did not replicate changes in rapid eye movement sleep. The timing of these phenotypes may suggest an impaired circadian process in mGluR5 KO mice. In conclusion, EEG phenotypes in mGluR5 KO mice resemble deficits observed in patients with schizophrenia. These findings implicate mGluR5-mediated pathways in several translationally relevant phenotypes associated with schizophrenia, and suggest that agents targeting this receptor may have harmful consequences on sleep health and daily patterns of EEG power.NEW & NOTEWORTHY Metabotropic glutamate receptor type 5 (mGluR5) knockout (KO) mice show several translationally relevant abnormalities in neural oscillatory activity associated with schizophrenia. These include deficits in sleep spindle density, sigma and alpha power, and 40-Hz task-evoked gamma power. The timing of these phenotypes suggests an impaired circadian process in these mice. Previously reported rapid eye movement sleep deficits in this model were not observed. These findings suggest mGluR5-enhancing drugs may improve sleep stability and sleep spindle density, which could impact memory and cognition.
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Affiliation(s)
- David D Aguilar
- Department of Psychiatry, Veterans Affairs Boston Healthcare System and Harvard Medical School, West Roxbury, Massachusetts
| | - Robert E Strecker
- Department of Psychiatry, Veterans Affairs Boston Healthcare System and Harvard Medical School, West Roxbury, Massachusetts
| | - Radhika Basheer
- Department of Psychiatry, Veterans Affairs Boston Healthcare System and Harvard Medical School, West Roxbury, Massachusetts
| | - James M McNally
- Department of Psychiatry, Veterans Affairs Boston Healthcare System and Harvard Medical School, West Roxbury, Massachusetts
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26
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Fang Z, Ray LB, Houldin E, Smith D, Owen AM, Fogel SM. Sleep Spindle-dependent Functional Connectivity Correlates with Cognitive Abilities. J Cogn Neurosci 2019; 32:446-466. [PMID: 31659927 DOI: 10.1162/jocn_a_01488] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
EEG studies have shown that interindividual differences in the electrophysiological properties of sleep spindles (e.g., density, amplitude, duration) are highly correlated with trait-like "reasoning" abilities (i.e., "fluid intelligence"; problem-solving skills; the ability to employ logic or identify complex patterns), but not interindividual differences in STM or "verbal" intellectual abilities. Previous simultaneous EEG-fMRI studies revealed brain activations time-locked to spindles. Our group has recently demonstrated that the extent of activation in a subset of these regions was related to interindividual differences in reasoning intellectual abilities, specifically. However, spindles reflect communication between spatially distant and functionally distinct brain areas. The functional communication among brain regions related to spindles and their relationship to reasoning abilities have yet to be investigated. Using simultaneous EEG-fMRI sleep recordings and psychophysiological interaction analysis, we identified spindle-related functional communication among brain regions in the thalamo-cortical-BG system, the salience network, and the default mode network. Furthermore, the extent of the functional connectivity of the cortical-striatal circuitry and the thalamo-cortical circuitry was specifically related to reasoning abilities but was unrelated to STM or verbal abilities, thus suggesting that individuals with higher fluid intelligence have stronger functional coupling among these brain areas during spontaneous spindle events. This may serve as a first step in further understanding the function of sleep spindles and the brain network functional communication, which support the capacity for fluid intelligence.
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Affiliation(s)
- Zhuo Fang
- Brain & Mind Institute, Western University, London, Canada.,University of Ottawa Brain and Mind Research Institute, Ottawa, Canada
| | - Laura B Ray
- Brain & Mind Institute, Western University, London, Canada.,Sleep Unit, the Royal's Institute for Mental Health Research, University of Ottawa, Ottawa, Canada
| | - Evan Houldin
- Brain & Mind Institute, Western University, London, Canada.,Western University, London, Canada
| | - Dylan Smith
- University of Ottawa, Ottawa, Canada.,Sleep Unit, the Royal's Institute for Mental Health Research, University of Ottawa, Ottawa, Canada
| | - Adrian M Owen
- Brain & Mind Institute, Western University, London, Canada.,Western University, London, Canada
| | - Stuart M Fogel
- Brain & Mind Institute, Western University, London, Canada.,Western University, London, Canada.,University of Ottawa, Ottawa, Canada.,Sleep Unit, the Royal's Institute for Mental Health Research, University of Ottawa, Ottawa, Canada.,University of Ottawa Brain and Mind Research Institute, Ottawa, Canada
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27
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Brockmann PE, Bruni O, Kheirandish-Gozal L, Gozal D. Reduced sleep spindle activity in children with primary snoring. Sleep Med 2019; 65:142-146. [PMID: 31869690 DOI: 10.1016/j.sleep.2019.10.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 09/28/2019] [Accepted: 10/01/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND Habitually snoring children are at risk of manifesting disease-related problems even if their sleep studies are overall within normal limits. STUDY OBJECTIVES To compare sleep spindle activity in children with primary snoring and healthy controls. METHODS Sleep spindle activity including analysis of fast and slow spindles (ie, >13 Hz and <13 Hz, respectively) was evaluated in polysomnographic (PSG) recordings of 20 randomly selected children with primary snoring (PS; normal PSG recordings except for objective presence of snoring; 12 boys, mean age 6.5 ± 2.1 years), and 20 age- and gender-matched PSG-confirmed non-snoring controls. RESULTS PS children showed significantly lower spindle indices in all non-rapid eye movement (NREM) sleep stages (p < 0.05). In contrast, fast spindles were found in 40% (n = 8) children with PS and in 25% (n = 5) controls. Sleep spindle activity was particularly higher in NREM sleep stage 2 in controls compared PS (76% versus 43% of all marked sleep spindles events in NREM sleep stage 2, p < 0.001). CONCLUSIONS Children with PS exhibit significantly reduced spindle activity when compared to matched controls. Reduced sleep spindle activity may be an indicator of sleep disruption and, therefore, could be involved in the development of disease-related consequences in snoring children.
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Affiliation(s)
- Pablo E Brockmann
- Department of Pediatric Cardiology and Pulmonology, Division of Pediatrics, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile; Pediatric Sleep Center, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
| | - Oliviero Bruni
- Department of Developmental and Social Psychology, Sapienza University, Rome, Italy
| | - Leila Kheirandish-Gozal
- Department of Child Health and Child Health Research Institute, University of Missouri School of Medicine, Columbia, MO, 65201, USA
| | - David Gozal
- Department of Child Health and Child Health Research Institute, University of Missouri School of Medicine, Columbia, MO, 65201, USA
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Scarpelli S, Bartolacci C, D'Atri A, Gorgoni M, De Gennaro L. Mental Sleep Activity and Disturbing Dreams in the Lifespan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E3658. [PMID: 31569467 PMCID: PMC6801786 DOI: 10.3390/ijerph16193658] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 09/11/2019] [Accepted: 09/27/2019] [Indexed: 02/05/2023]
Abstract
Sleep significantly changes across the lifespan, and several studies underline its crucial role in cognitive functioning. Similarly, mental activity during sleep tends to covary with age. This review aims to analyze the characteristics of dreaming and disturbing dreams at different age brackets. On the one hand, dreams may be considered an expression of brain maturation and cognitive development, showing relations with memory and visuo-spatial abilities. Some investigations reveal that specific electrophysiological patterns, such as frontal theta oscillations, underlie dreams during sleep, as well as episodic memories in the waking state, both in young and older adults. On the other hand, considering the role of dreaming in emotional processing and regulation, the available literature suggests that mental sleep activity could have a beneficial role when stressful events occur at different age ranges. We highlight that nightmares and bad dreams might represent an attempt to cope the adverse events, and the degrees of cognitive-brain maturation could impact on these mechanisms across the lifespan. Future investigations are necessary to clarify these relations. Clinical protocols could be designed to improve cognitive functioning and emotional regulation by modifying the dream contents or the ability to recall/non-recall them.
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Affiliation(s)
- Serena Scarpelli
- Department of Psychology, "Sapienza" University of Rome, Via dei Marsi, 78, 00185 Rome, Italy.
| | - Chiara Bartolacci
- Department of Psychology, "Sapienza" University of Rome, Via dei Marsi, 78, 00185 Rome, Italy.
| | - Aurora D'Atri
- Department of Psychology, "Sapienza" University of Rome, Via dei Marsi, 78, 00185 Rome, Italy.
| | - Maurizio Gorgoni
- Department of Psychology, "Sapienza" University of Rome, Via dei Marsi, 78, 00185 Rome, Italy.
| | - Luigi De Gennaro
- Department of Psychology, "Sapienza" University of Rome, Via dei Marsi, 78, 00185 Rome, Italy.
- IRCCS Santa Lucia Foundation, 00142 Rome, Italy.
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29
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Cox R, Mylonas DS, Manoach DS, Stickgold R. Large-scale structure and individual fingerprints of locally coupled sleep oscillations. Sleep 2019; 41:5089926. [PMID: 30184179 DOI: 10.1093/sleep/zsy175] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Indexed: 11/14/2022] Open
Abstract
Slow oscillations and sleep spindles, the canonical electrophysiological oscillations of nonrapid eye movement sleep, are thought to gate incoming sensory information, underlie processes of sleep-dependent memory consolidation, and are altered in various neuropsychiatric disorders. Accumulating evidence of the predominantly local expression of these individual oscillatory rhythms suggests that their cross-frequency interactions may have a similar local component. However, it is unclear whether locally coordinated sleep oscillations exist across the cortex, and whether and how these dynamics differ between fast and slow spindles, and sleep stages. Moreover, substantial individual variability in the expression of both spindles and slow oscillations raises the possibility that their temporal organization shows similar individual differences. Using two nights of multichannel electroencephalography recordings from 24 healthy individuals, we characterized the topography of slow oscillation-spindle coupling. We found that while slow oscillations are highly restricted in spatial extent, the phase of the local slow oscillation modulates local spindle activity at virtually every cortical site. However, coupling dynamics varied with spindle class, sleep stage, and cortical region. Moreover, the slow oscillation phase at which spindles were maximally expressed differed markedly across individuals while remaining stable across nights. These findings both add an important spatial aspect to our understanding of the temporal coupling of sleep oscillations and demonstrate the heterogeneity of coupling dynamics, which must be taken into account when formulating mechanistic accounts of sleep-related memory processing.
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Affiliation(s)
- Roy Cox
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA.,Department of Psychiatry, Harvard Medical School, Boston, MA.,Department of Epileptology, University of Bonn, Germany
| | - Dimitris S Mylonas
- Department of Psychiatry, Harvard Medical School, Boston, MA.,Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA.,Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA
| | - Dara S Manoach
- Department of Psychiatry, Harvard Medical School, Boston, MA.,Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA.,Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA
| | - Robert Stickgold
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA.,Department of Psychiatry, Harvard Medical School, Boston, MA
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30
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Liu J, Feng R, Ji X, Cui N, Raine A, Mednick SC. Midday napping in children: associations between nap frequency and duration across cognitive, positive psychological well-being, behavioral, and metabolic health outcomes. Sleep 2019; 42:5499200. [PMID: 31135911 PMCID: PMC6735910 DOI: 10.1093/sleep/zsz126] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 05/02/2019] [Indexed: 12/14/2022] Open
Abstract
STUDY OBJECTIVES Poor sleep and daytime sleepiness in children and adolescents have short- and long-term consequences on various aspects of health. Midday napping may be a useful strategy to reduce such negative impacts. The effect of habitual napping on a wide spectrum of cognitive, behavioral, psychological, and metabolic outcomes has not been systematically investigated. METHODS This study characterized midday napping habits in 3819 elementary school children from the China Jintan Cohort Study. In 2011, weekly nap frequency and average duration were collected once from students at grades 4-6. Prior to their completion of elementary school at grade 6 (in 2011-2013 respective to each grade), the following outcomes were collected once: behavioral and academic achievement evaluated by teachers, and self-reported positive psychology measures including grit, self-control, and happiness. IQ tests were conducted on a subgroup. Metabolic indices, including body mass index and fasting glucose concentration, were measured through physical exams. For the whole sample, we assessed associations between napping and each outcome, adjusted for sex, grade, school location, parental education, and time in bed at night. We also conducted stratified analyses on grade 6 (cross-sectional), grade 4 (2-year gap), and grade 5 (1-year gap) data. RESULTS Overall, napping was significantly associated with higher happiness, grit, and self-control, reduced internalizing behavior problem, higher verbal IQs, and better academic achievement, although specific patterns varied across frequency and duration for different outcomes. More limited significant associations were found for decreased externalizing behavior problems, compared to non-nappers, while no significant associations were found for performance IQ and metabolic outcomes. CONCLUSIONS Results indicate benefits of regular napping across a wide range of adolescent outcomes, including better cognition, better psychological wellness, and reduced emotional/behavioral problems. The current study underscores the need for further large-scale intervention studies to establish causal effects.
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Affiliation(s)
- Jianghong Liu
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA
| | - Rui Feng
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Xiaopeng Ji
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA.,College of Health Sciences, University of Delaware School of Nursing, Newark, DE
| | - Naixue Cui
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA.,Shandong University School of Nursing, Shandong, China
| | - Adrian Raine
- Departments of Criminology, Psychiatry, and Psychology, University of Pennsylvania, Philadelphia, PA
| | - Sara C Mednick
- Department of Cognitive Sciences, University of California Irvine, Irvine, CA
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31
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Goldstone A, Willoughby AR, de Zambotti M, Clark DB, Sullivan EV, Hasler BP, Franzen PL, Prouty DE, Colrain IM, Baker FC. Sleep spindle characteristics in adolescents. Clin Neurophysiol 2019; 130:893-902. [PMID: 30981174 DOI: 10.1016/j.clinph.2019.02.019] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 02/12/2019] [Accepted: 02/23/2019] [Indexed: 01/31/2023]
Abstract
OBJECTIVE Sleep changes substantially during adolescence; however, our understanding of age-related differences in specific electroencephalographic waveforms during this developmental period is limited. METHOD Sigma power, spindle characteristics and cognitive data were calculated for fast (∼13 Hz) central and slow (∼11 Hz) frontal sleep spindles for a large cross-sectional sample of adolescents (N = 134, aged 12-21 years, from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) study). RESULTS Older age (and advanced pubertal development) was associated with lower absolute sigma power and greater fast spindle density, with spindles having a shorter duration and smaller amplitude and occurring at a faster average frequency than at a younger age. Spindle characteristics were not directly associated with cognition. An indirect relationship (age * density) provided some evidence for an association between better episodic memory performance and greater spindle density only for younger adolescents. CONCLUSION Spindle characteristics in adolescents differed according to age, possibly reflecting underlying differences in thalamo-cortical connectivity, and may play a role in episodic memory early in adolescence. SIGNIFICANCE Sleep spindles may serve as a marker of adolescent development, likely reflecting brain maturational status. Investigating specific spindle characteristics, in addition to sigma power, is necessary to fully characterize spindles during adolescence.
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Affiliation(s)
- Aimée Goldstone
- Center for Health Sciences, SRI International, Menlo Park, CA, USA.
| | | | | | - Duncan B Clark
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Brant P Hasler
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Peter L Franzen
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Devin E Prouty
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Ian M Colrain
- Center for Health Sciences, SRI International, Menlo Park, CA, USA; Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, USA; Brain Function Research Group, School of Physiology, University of Witwatersrand, Johannesburg, South Africa
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32
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Friedrich M, Mölle M, Friederici AD, Born J. The reciprocal relation between sleep and memory in infancy: Memory-dependent adjustment of sleep spindles and spindle-dependent improvement of memories. Dev Sci 2019; 22:e12743. [PMID: 30160012 PMCID: PMC6585722 DOI: 10.1111/desc.12743] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 08/24/2018] [Indexed: 11/27/2022]
Abstract
Sleep spindle activity in infants supports their formation of generalized memories during sleep, indicating that specific sleep processes affect the consolidation of memories early in life. Characteristics of sleep spindles depend on the infant's developmental state and are known to be associated with trait-like factors such as intelligence. It is, however, largely unknown which state-like factors affect sleep spindles in infancy. By varying infants' wake experience in a within-subject design, here we provide evidence for a learning- and memory-dependent modulation of infant spindle activity. In a lexical-semantic learning session before a nap, 14- to 16-month-old infants were exposed to unknown words as labels for exemplars of unknown object categories. In a memory test on the next day, generalization to novel category exemplars was tested. In a nonlearning control session preceding a nap on another day, the same infants heard known words as labels for exemplars of already known categories. Central-parietal fast sleep spindles increased after the encoding of unknown object-word pairings compared to known pairings, evidencing that an infant's spindle activity varies depending on its prior knowledge for newly encoded information. Correlations suggest that enhanced spindle activity was particularly triggered, when similar unknown pairings were not generalized immediately during encoding. The spindle increase triggered by previously not generalized object-word pairings, moreover, boosted the formation of generalized memories for these pairings. Overall, the results provide first evidence for a fine-tuned regulation of infant sleep quality according to current consolidation requirements, which improves the infant long-term memory for new experiences.
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Affiliation(s)
- Manuela Friedrich
- Institute of PsychologyHumboldt‐University BerlinBerlinGermany
- Department of NeuropsychologyMax Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
| | - Matthias Mölle
- Center of Brain, Behavior and Metabolism (CBBM)University of LübeckLubeckGermany
| | - Angela D. Friederici
- Department of NeuropsychologyMax Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
| | - Jan Born
- Institute of Medical Psychology and Behavioral Neurobiology and Center for Integrative NeuroscienceUniversity of TübingenTubingenGermany
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33
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Fang Z, Ray LB, Owen AM, Fogel SM. Brain Activation Time-Locked to Sleep Spindles Associated With Human Cognitive Abilities. Front Neurosci 2019; 13:46. [PMID: 30787863 PMCID: PMC6372948 DOI: 10.3389/fnins.2019.00046] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 01/17/2019] [Indexed: 12/21/2022] Open
Abstract
Simultaneous electroencephalography and functional magnetic resonance imaging (EEG–fMRI) studies have revealed brain activations time-locked to spindles. Yet, the functional significance of these spindle-related brain activations is not understood. EEG studies have shown that inter-individual differences in the electrophysiological characteristics of spindles (e.g., density, amplitude, duration) are highly correlated with “Reasoning” abilities (i.e., “fluid intelligence”; problem solving skills, the ability to employ logic, identify complex patterns), but not short-term memory (STM) or verbal abilities. Spindle-dependent reactivation of brain areas recruited during new learning suggests night-to-night variations reflect offline memory processing. However, the functional significance of stable, trait-like inter-individual differences in brain activations recruited during spindle events is unknown. Using EEG–fMRI sleep recordings, we found that a subset of brain activations time-locked to spindles were specifically related to Reasoning abilities but were unrelated to STM or verbal abilities. Thus, suggesting that individuals with higher fluid intelligence have greater activation of brain regions recruited during spontaneous spindle events. This may serve as a first step to further understand the function of sleep spindles and the brain activity which supports the capacity for Reasoning.
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Affiliation(s)
- Zhuo Fang
- Brain and Mind Institute, Western University, London, ON, Canada.,School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Laura B Ray
- Brain and Mind Institute, Western University, London, ON, Canada.,Sleep Unit, The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Adrian M Owen
- Brain and Mind Institute, Western University, London, ON, Canada.,Department of Psychology, Western University, London, ON, Canada
| | - Stuart M Fogel
- Brain and Mind Institute, Western University, London, ON, Canada.,School of Psychology, University of Ottawa, Ottawa, ON, Canada.,Sleep Unit, The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada.,Department of Psychology, Western University, London, ON, Canada.,University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada
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34
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Malerba P, Whitehurst LN, Simons SB, Mednick SC. Spatio-temporal structure of sleep slow oscillations on the electrode manifold and its relation to spindles. Sleep 2019; 42:5134206. [PMID: 30335179 PMCID: PMC6335956 DOI: 10.1093/sleep/zsy197] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Revised: 08/06/2018] [Indexed: 11/12/2022] Open
Abstract
Electrophysiological sleep rhythms have been shown to impact human waking cognition, but their spatio-temporal dynamics are not understood. We investigated how slow oscillations (SOs; 0.5-4 Hz) are organized during a night of polysomnographically-recorded sleep, focusing on the scalp electrode manifold. We detected troughs of SOs at all electrodes independently and analyzed the concurrent SO troughs found in every other electrode within ±400 ms. We used a k-clustering algorithm to categorize the spatial patterns of SO trough co-occurrence into three types (Global, Local or Frontal) depending on their footprint on the electrode manifold during the considered time window. When comparing the clusters across non-rapid eye movement (NREM) sleep stages, we found a relatively larger fraction of Local SOs in slow wave sleep (SWS) compared to stage 2, and larger fraction of Global SOs in stage 2 compared to SWS. The probability of SO detection in time between two electrodes showed that SO troughs of all types co-occurred at some nearby electrodes, but only Global troughs had traveling wave profiles, moving anteriorly to posteriorly. Global SOs also had larger amplitudes at frontal electrodes and stronger coupling with fast spindles (12.5-16 Hz). Indeed, SO-spindle complexes were more likely to be detected following a Global SO trough compared to SOs in other clusters. Also, the phase-amplitude modulation of SOs over spindles (modulation vector) was higher for Global SOs across the electrode manifold. Given the recent evidence of a link between thalamocortical coupling and cognition, our findings suggest stronger cognitive relevance of Global SOs as compared to other SO types in sleep memory processing. Clinical Trials No clinical trial is related to this study.
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Affiliation(s)
- Paola Malerba
- Department of Cognitive Sciences, University of California Irvine, Irvine, CA
| | | | | | - Sara C Mednick
- Department of Cognitive Sciences, University of California Irvine, Irvine, CA
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35
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Pesonen AK, Ujma P, Halonen R, Räikkönen K, Kuula L. The associations between spindle characteristics and cognitive ability in a large adolescent birth cohort. INTELLIGENCE 2019. [DOI: 10.1016/j.intell.2018.11.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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36
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Lázár ZI, Dijk DJ, Lázár AS. Infraslow oscillations in human sleep spindle activity. J Neurosci Methods 2018; 316:22-34. [PMID: 30571990 PMCID: PMC6390176 DOI: 10.1016/j.jneumeth.2018.12.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [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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37
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Sleep spindle and psychopathology characteristics of frequent nightmare recallers. Sleep Med 2018; 50:113-131. [DOI: 10.1016/j.sleep.2017.10.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 10/02/2017] [Indexed: 02/01/2023]
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38
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Hahn M, Joechner AK, Roell J, Schabus M, Heib DP, Gruber G, Peigneux P, Hoedlmoser K. Developmental changes of sleep spindles and their impact on sleep-dependent memory consolidation and general cognitive abilities: A longitudinal approach. Dev Sci 2018; 22:e12706. [PMID: 30252185 PMCID: PMC6492121 DOI: 10.1111/desc.12706] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 05/31/2018] [Indexed: 11/30/2022]
Abstract
Sleep spindles are related to sleep‐dependent memory consolidation and general cognitive abilities. However, they undergo drastic maturational changes during adolescence. Here we used a longitudinal approach (across 7 years) to explore whether developmental changes in sleep spindle density can explain individual differences in sleep‐dependent memory consolidation and general cognitive abilities. Ambulatory polysomnography was recorded during four nights in 34 healthy subjects (24 female) with two nights (baseline and experimental) at initial recording (age range 8–11 years) and two nights at follow‐up recording (age range 14–18 years). For declarative learning, participants encoded word pairs with a subsequent recall before and after sleep. General cognitive abilities were measured by the Wechsler Intelligence Scale. Higher slow (11–13 Hz) than fast (13–15 Hz) spindle density at frontal, central, and parietal sites during initial recordings, followed by a shift to higher fast than slow spindle density at central and parietal sites during follow‐up recordings, suggest that mature spindle topography develops throughout adolescence. Fast spindle density increases from baseline to experimental night were positively related to sleep‐dependent memory consolidation. In addition, we found that the development of fast spindles predicted the improvement in memory consolidation across the two longitudinal measurements, a finding that underlines a crucial role for mature fast spindles for sleep‐dependent memory consolidation. Furthermore, slow spindle changes across adolescence were related to general cognitive abilities, a relationship that could indicate the maturation of frontal networks relevant for efficient cognitive processing. A video abstract of this article can be viewed at: https://www.youtube.com/watch?v=7NXJzm8HbIw and https://www.youtube.com/watch?v=iuMQY1OIJ0s
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Affiliation(s)
- Michael Hahn
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, Centre for Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
| | - Ann-Kathrin Joechner
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, Centre for Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
| | - Judith Roell
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, Centre for Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
| | - Manuel Schabus
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, Centre for Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
| | - Dominik Pj Heib
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, Centre for Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
| | - Georg Gruber
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.,The Siesta Group, Vienna, Austria
| | - Philippe Peigneux
- UR2NF - Neuropsychology and Functional Neuroimaging Research Unit affiliated at CRCN - Centre de Recherches en Cognition et Neurosciences and UNI - ULB Neurosciences Institute, Université Libre de Bruxelles, Bruxelles, Belgium
| | - Kerstin Hoedlmoser
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, Centre for Cognitive Neuroscience, University of Salzburg, Salzburg, Austria
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39
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A daytime nap enhances visual working memory performance and alters event-related delay activity. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2018; 18:1105-1120. [DOI: 10.3758/s13415-018-0625-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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40
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Affiliation(s)
- Péter Przemyslaw Ujma
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
- National Institute of Clinical Neuroscience, Budapest, Hungary
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41
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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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42
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Yordanova J, Kolev V, Bruns E, Kirov R, Verleger R. Sleep Spindles in the Right Hemisphere Support Awareness of Regularities and Reflect Pre-Sleep Activations. Sleep 2018; 40:4104557. [PMID: 28958008 PMCID: PMC5806558 DOI: 10.1093/sleep/zsx151] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Study Objectives The present study explored the sleep mechanisms which may support awareness of hidden regularities. Methods Before sleep, 53 participants learned implicitly a lateralized variant of the serial response-time task in order to localize sensorimotor encoding either in the left or right hemisphere and induce implicit regularity representations. Electroencephalographic (EEG) activity was recorded at multiple electrodes during both task performance and sleep, searching for lateralized traces of the preceding activity during learning. Sleep EEG analysis focused on region-specific slow (9-12 Hz) and fast (13-16 Hz) sleep spindles during nonrapid eye movement sleep. Results Fast spindle activity at those motor regions that were activated during learning increased with the amount of postsleep awareness. Independently of side of learning, spindle activity at right frontal and fronto-central regions was involved: there, fast spindles increased with the transformation of sequence knowledge from implicit before sleep to explicit after sleep, and slow spindles correlated with individual abilities of gaining awareness. These local modulations of sleep spindles corresponded to regions with greater presleep activation in participants with postsleep explicit knowledge. Conclusions Sleep spindle mechanisms are related to explicit awareness (1) by tracing the activation of motor cortical and right-hemisphere regions which had stronger involvement already during learning and (2) by recruitment of individually consolidated processing modules in the right hemisphere. The integration of different sleep spindle mechanisms with functional states during wake collectively supports the gain of awareness of previously experienced regularities, with a special role for the right hemisphere.
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Affiliation(s)
- Juliana Yordanova
- Department of Neurology, University of Lübeck, 23562 Lübeck, Germany.,Institute of Neurobiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
| | - Vasil Kolev
- Department of Neurology, University of Lübeck, 23562 Lübeck, Germany.,Institute of Neurobiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
| | - Eike Bruns
- Department of Neurology, University of Lübeck, 23562 Lübeck, Germany
| | - Roumen Kirov
- Institute of Neurobiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
| | - Rolf Verleger
- Department of Neurology, University of Lübeck, 23562 Lübeck, Germany.,Institute of Psychology II, University of Lübeck, 23562 Lübeck, Germany
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43
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Koo PC, Mölle M, Marshall L. Efficacy of slow oscillatory‐transcranial direct current stimulation on
EEG
and memory – contribution of an inter‐individual factor. Eur J Neurosci 2018; 47:812-823. [DOI: 10.1111/ejn.13877] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Revised: 02/08/2018] [Accepted: 02/16/2018] [Indexed: 11/26/2022]
Affiliation(s)
- Ping Chai Koo
- Institute of Experimental and Clinical Pharmacology and Toxicology University of Lübeck Ratzeburger Allee 160, Bldg 66 23562 Lübeck Germany
- Center of Brain, Behavior and Metabolism University of Lübeck Lübeck Germany
- Department of Psychiatry and Psychotherapy Rostock University Medical Centre Rostock Germany
| | - Matthias Mölle
- Center of Brain, Behavior and Metabolism University of Lübeck Lübeck Germany
| | - Lisa Marshall
- Institute of Experimental and Clinical Pharmacology and Toxicology University of Lübeck Ratzeburger Allee 160, Bldg 66 23562 Lübeck Germany
- Center of Brain, Behavior and Metabolism University of Lübeck Lübeck Germany
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44
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Schilling C, Gappa L, Schredl M, Streit F, Treutlein J, Frank J, Deuschle M, Meyer-Lindenberg A, Rietschel M, Witt SH. Fast sleep spindle density is associated with rs4680 (Val108/158Met) genotype of catechol-O-methyltransferase (COMT). Sleep 2018; 41:4791869. [DOI: 10.1093/sleep/zsy007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Indexed: 12/29/2022] Open
Affiliation(s)
- Claudia Schilling
- Central Institute of Mental Health, Sleep laboratory, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lena Gappa
- Central Institute of Mental Health, Sleep laboratory, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Michael Schredl
- Central Institute of Mental Health, Sleep laboratory, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Fabian Streit
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jens Treutlein
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Josef Frank
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Michael Deuschle
- Central Institute of Mental Health, Sleep laboratory, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Andreas Meyer-Lindenberg
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Marcella Rietschel
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie H Witt
- Central Institute of Mental Health, Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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45
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Ujma PP, Konrad BN, Gombos F, Simor P, Pótári A, Genzel L, Pawlowski M, Steiger A, Bódizs R, Dresler M. The sleep EEG spectrum is a sexually dimorphic marker of general intelligence. Sci Rep 2017; 7:18070. [PMID: 29273758 PMCID: PMC5741768 DOI: 10.1038/s41598-017-18124-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Accepted: 11/19/2017] [Indexed: 12/28/2022] Open
Abstract
The shape of the EEG spectrum in sleep relies on genetic and anatomical factors and forms an individual "EEG fingerprint". Spectral components of EEG were shown to be connected to mental ability both in sleep and wakefulness. EEG sleep spindle correlates of intelligence, however, exhibit a sexual dimorphism, with a more pronounced association to intelligence in females than males. In a sample of 151 healthy individuals, we investigated how intelligence is related to spectral components of full-night sleep EEG, while controlling for the effects of age. A positive linear association between intelligence and REM anterior beta power was found in females but not males. Transient, spindle-like "REM beta tufts" are described in the EEG of healthy subjects, which may reflect the functioning of a recently described cingular-prefrontal emotion and motor regulation network. REM sleep frontal high delta power was a negative correlate of intelligence. NREM alpha and sigma spectral power correlations with intelligence did not unequivocally remain significant after multiple comparisons correction, but exhibited a similar sexual dimorphism. These results suggest that the neural oscillatory correlates of intelligence in sleep are sexually dimorphic, and they are not restricted to either sleep spindles or NREM sleep.
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Affiliation(s)
- Péter P Ujma
- Institute of Behavioural Sciences, Semmelweis University, H-1089, Budapest, Hungary.
- National Institute of Clinical Neuroscience, H-1145, Budapest, Hungary.
| | - Boris N Konrad
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, 6525 EN, Nijmegen, The Netherlands
| | - Ferenc Gombos
- National Institute of Clinical Neuroscience, H-1145, Budapest, Hungary
| | - Péter Simor
- Nyírő Gyula Hospital, National Institute of Psychiatry and Addictions, H-1135, Budapest, Hungary
- Department of Cognitive Sciences, Budapest University of Technology and Economics, H-1111, Budapest, Hungary
| | - Adrián Pótári
- Department of Cognitive Sciences, Budapest University of Technology and Economics, H-1111, Budapest, Hungary
| | - Lisa Genzel
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, 6525 EN, Nijmegen, The Netherlands
- Centre for Cognitive and Neural Systems, University of Edinburgh, EH8 9JZ, Edinburg, United Kingdom
| | | | - Axel Steiger
- Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Róbert Bódizs
- Institute of Behavioural Sciences, Semmelweis University, H-1089, Budapest, Hungary
- National Institute of Clinical Neuroscience, H-1145, Budapest, Hungary
| | - Martin Dresler
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, 6525 EN, Nijmegen, The Netherlands
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46
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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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47
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Iotchev IB, Kis A, Bódizs R, van Luijtelaar G, Kubinyi E. EEG Transients in the Sigma Range During non-REM Sleep Predict Learning in Dogs. Sci Rep 2017; 7:12936. [PMID: 29021536 PMCID: PMC5636833 DOI: 10.1038/s41598-017-13278-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 09/19/2017] [Indexed: 11/09/2022] Open
Abstract
Sleep spindles are phasic bursts of thalamo-cortical activity, visible in the cortex as transient oscillations in the sigma range (usually defined in humans as 12-14 or 9-16 Hz). They have been associated with sleep-dependent memory consolidation and sleep stability in humans and rodents. Occurrence, frequency, amplitude and duration of sleep spindles co-vary with age, sex and psychiatric conditions. Spindle analogue activity in dogs has been qualitatively described, but never quantified and related to function. In the present study we used an adjusted version of a detection method previously validated in children to test whether detections in the dogs show equivalent functional correlates as described in the human literature. We found that the density of EEG transients in the 9-16 Hz range during non-REM sleep relates to memory and is characterized by sexual dimorphism similarly as in humans. The number of transients/minute was larger in the learning condition and for female dogs, and correlated with the increase of performance during recall. It can be concluded that in dogs, automatic detections in the 9-16 Hz range, in particular the slow variant (<13 Hz), are functional analogues of human spindles.
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Affiliation(s)
| | - Anna Kis
- Institute of Cognitive Neuroscience and Psychology, Hungarian Academy of Sciences, Budapest, Hungary
| | - Róbert Bódizs
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
| | | | - Enikő Kubinyi
- Department of Ethology, Eötvös Loránd University, Budapest, Hungary
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48
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Blaskovich B, Szőllősi Á, Gombos F, Racsmány M, Simor P. The Benefit of Directed Forgetting Persists After a Daytime Nap: The Role of Spindles and Rapid Eye Movement Sleep in the Consolidation of Relevant Memories. Sleep 2017; 40:2732008. [PMID: 28364418 DOI: 10.1093/sleep/zsw076] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Study Objectives We aimed to investigate the effect of directed forgetting instruction on memory retention after a 2-hour delay involving a daytime nap or an equivalent amount of time spent awake. We examined the associations between sleep-specific oscillations and the retention of relevant and irrelevant study materials. Methods We applied a list-method directed forgetting paradigm manipulating the perceived relevance of previously encoded lists of words. Participants were randomly assigned to either a nap or an awake group, and to a remember or a forget subgroup. The remember and the forget subgroups were both instructed to study two consecutive lists of words, although, the forget subgroup was manipulated to forget the first list and memorize only the second one. Participants were 112 healthy individuals (44 men; Mage = 21.4 years, SD = 2.4). Results A significant directed forgetting effect emerged after a 2-hour delay both in the awake and sleep conditions; however, the effect was more pronounced within the sleep group. The benefit of directed forgetting, that is, relatively enhanced recall of relevant words in the forget group, was evidenced only in those participants that reached rapid eye movement (REM) phase. Non-rapid eye movement (NREM) sigma power was correlated with memory performance for the relevant (second) list, and sleep spindle amplitude was associated with the retention of both lists. These associations, however, were detected only within the forget subgroup. REM duration correlated with recall performance for the relevant (second) list within the forget subgroup, and with recall performance for the first list within the remember subgroup. Conclusions A directed forgetting effect persists after a 2-hour delay spent awake or asleep. Spindle-related activity and subsequent REM sleep might selectively facilitate the processing of memories that are considered to be relevant for the future.
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Affiliation(s)
- Borbála Blaskovich
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
| | - Ágnes Szőllősi
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
| | - Ferenc Gombos
- Department of General Psychology, Pázmány Péter Catholic University, Budapest, Hungary
| | - Mihály Racsmány
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
- Frontostriatal System Research Group, Hungarian Academy of Sciences, Budapest, Hungary
| | - Péter Simor
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
- Nyírő Gyula Hospital, National Institute of Psychiatry and Addictions, Budapest, Hungary
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49
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Horváth K, Hannon B, Ujma PP, Gombos F, Plunkett K. Memory in 3-month-old infants benefits from a short nap. Dev Sci 2017; 21:e12587. [PMID: 28722249 DOI: 10.1111/desc.12587] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 05/08/2017] [Indexed: 12/15/2022]
Abstract
A broad range of studies demonstrate that sleep has a facilitating role in memory consolidation (see Rasch & Born, ). Whether sleep-dependent memory consolidation is also apparent in infants in their first few months of life has not been investigated. We demonstrate that 3-month-old infants only remember a cartoon face approximately 1.5-2 hours after its first presentation when a period of sleep followed learning. Furthermore, habituation time, that is, the time to become bored with a stimulus shown repetitively, correlated negatively with the density of infant sleep spindles, implying that processing speed is linked to specific electroencephalographic components of sleep. Our findings show that without a short period of sleep infants have problems remembering a newly seen face, that sleep enhances memory consolidation from a very early age, highlighting the importance of napping in infancy, and that infant sleep spindles may be associated with some aspects of cognitive ability.
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Affiliation(s)
- Klára Horváth
- Department of Experimental Psychology, University of Oxford, Oxford, UK.,2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary
| | - Benjamin Hannon
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Peter P Ujma
- Institute for Behavioral Sciences, Semmelweis University, Budapest, Hungary
| | - Ferenc Gombos
- Department of Developmental and Social Psychology, Pázmány Péter Catholic University, Budapest, Hungary
| | - Kim Plunkett
- Department of Experimental Psychology, University of Oxford, Oxford, UK
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50
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Liu MY, Huang A, Huang NE. Evaluating and Improving Automatic Sleep Spindle Detection by Using Multi-Objective Evolutionary Algorithms. Front Hum Neurosci 2017; 11:261. [PMID: 28572762 PMCID: PMC5435763 DOI: 10.3389/fnhum.2017.00261] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 05/02/2017] [Indexed: 11/13/2022] Open
Abstract
Sleep spindles are brief bursts of brain activity in the sigma frequency range (11–16 Hz) measured by electroencephalography (EEG) mostly during non-rapid eye movement (NREM) stage 2 sleep. These oscillations are of great biological and clinical interests because they potentially play an important role in identifying and characterizing the processes of various neurological disorders. Conventionally, sleep spindles are identified by expert sleep clinicians via visual inspection of EEG signals. The process is laborious and the results are inconsistent among different experts. To resolve the problem, numerous computerized methods have been developed to automate the process of sleep spindle identification. Still, the performance of these automated sleep spindle detection methods varies inconsistently from study to study. There are two reasons: (1) the lack of common benchmark databases, and (2) the lack of commonly accepted evaluation metrics. In this study, we focus on tackling the second problem by proposing to evaluate the performance of a spindle detector in a multi-objective optimization context and hypothesize that using the resultant Pareto fronts for deriving evaluation metrics will improve automatic sleep spindle detection. We use a popular multi-objective evolutionary algorithm (MOEA), the Strength Pareto Evolutionary Algorithm (SPEA2), to optimize six existing frequency-based sleep spindle detection algorithms. They include three Fourier, one continuous wavelet transform (CWT), and two Hilbert-Huang transform (HHT) based algorithms. We also explore three hybrid approaches. Trained and tested on open-access DREAMS and MASS databases, two new hybrid methods of combining Fourier with HHT algorithms show significant performance improvement with F1-scores of 0.726–0.737.
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Affiliation(s)
- Min-Yin Liu
- Department of Biomedical Sciences and Engineering, Institute of Systems Biology and Bioinformatics, National Central UniversityTaoyuan, Taiwan
| | - Adam Huang
- Research Center for Adaptive Data Analysis, National Central UniversityTaoyuan, Taiwan
| | - Norden E Huang
- Department of Biomedical Sciences and Engineering, Institute of Systems Biology and Bioinformatics, National Central UniversityTaoyuan, Taiwan.,Research Center for Adaptive Data Analysis, National Central UniversityTaoyuan, Taiwan
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