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Ukraintseva YV, Saltykov KA, Tkachenko ON. Neither fifty percent slow-wave sleep suppression nor fifty percent rapid eye movement sleep suppression does impair memory consolidation. Sleep Med 2024; 124:223-235. [PMID: 39326217 DOI: 10.1016/j.sleep.2024.09.031] [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: 01/18/2024] [Revised: 09/17/2024] [Accepted: 09/18/2024] [Indexed: 09/28/2024]
Abstract
Establishing well-defined relationships between sleep features and memory consolidation is essential in comprehending the pathophysiology of cognitive decline commonly seen in patients with insomnia, depression, and other sleep-disrupting conditions. Twenty-eight volunteers participated in two experimental sessions: a session with selective SWS suppression during one night and a session with undisturbed night sleep (as a control condition). Fifteen of them also participated in a third session with REM suppression. Suppression was achieved by presenting an acoustic tone. In the evening and the morning, the participants completed procedural and declarative memory tasks and the Psychomotor vigilance task (PVT). Heart rate variability analysis and salivary cortisol were used to control possible stress reactions to sleep interference. SWS and REM suppression led to more than 50 percent reduction in the amount of these stages. Neither vigilance nor memory consolidation was impaired after SWS or REM suppression. Unexpectedly, a beneficial effect of selective SWS suppression on PVT performance was found. Similarly, after a night with SWS suppression, the overnight improvement in procedural skills was higher than after a night with REM suppression and after a night with undisturbed sleep. Our data brings into question the extent to which SWS and REM are truly necessary for effective memory consolidation to proceed. Moreover, SWS suppression may even improve the performance of some tasks, possibly by reducing sleep inertia associated with undisturbed sleep.
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Affiliation(s)
- Yulia V Ukraintseva
- Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, 117485, Moscow, Russia.
| | - Konstantin A Saltykov
- Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, 117485, Moscow, Russia
| | - Olga N Tkachenko
- Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, 117485, Moscow, Russia
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2
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Berja ED, Kwon H, Walsh KG, Bates SV, Kramer MA, Chu CJ. Infant sleep spindle measures from EEG improve prediction of cerebral palsy. Clin Neurophysiol 2024; 167:51-60. [PMID: 39278086 DOI: 10.1016/j.clinph.2024.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 06/25/2024] [Accepted: 08/26/2024] [Indexed: 09/17/2024]
Abstract
OBJECTIVE Early identification of infants at risk of cerebral palsy (CP) enables interventions to optimize outcomes. Central sleep spindles reflect thalamocortical sensorimotor circuit function. We hypothesized that abnormal infant central spindle activity would predict later contralateral CP. METHODS We trained and validated an automated detector to measure spindle rate, duration, and percentage from central electroencephalogram (EEG) channels in high-risk infants (n = 35) and age-matched controls (n = 42). Neonatal magnetic resonance imaging (MRI) findings, infant motor exam, and CP outcomes were obtained from chart review. Using univariable and multivariable logistic regression models, we examined whether spindle activity, MRI abnormalities, and/or motor exam predicted future contralateral CP. RESULTS The detector had excellent performance (F1 = 0.50). Spindle rate (p = 0.005, p = 0.0004), duration (p < 0.001, p < 0.001), and percentage (p < 0.001, p < 0.001) were decreased in hemispheres corresponding to future CP compared to those without. In this cohort, PLIC abnormality (p = 0.004) and any MRI abnormality (p = 0.004) also predicted subsequent CP. After controlling for MRI findings, spindle features remained significant predictors and improved model fit (p < 0.001, all tests). Using both spindle duration and MRI findings had highest accuracy to classify hemispheres corresponding to future CP (F1 = 0.98, AUC 0.999). CONCLUSION Decreased central spindle activity improves the prediction of future CP in high-risk infants beyond early MRI or clinical exam alone. SIGNIFICANCE Decreased central spindle activity provides an early biomarker for CP.
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Affiliation(s)
- Erin D Berja
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Hunki Kwon
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Katherine G Walsh
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Sara V Bates
- Department of Pediatrics, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Mark A Kramer
- Department of Mathematics and Statistics and Center for Systems Neuroscience, Boston University, Boston, MA, United States
| | - Catherine J Chu
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
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Swift KM, Gary NC, Urbanczyk PJ. On the basis of sex and sleep: the influence of the estrous cycle and sex on sleep-wake behavior. Front Neurosci 2024; 18:1426189. [PMID: 39268035 PMCID: PMC11390649 DOI: 10.3389/fnins.2024.1426189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 08/12/2024] [Indexed: 09/15/2024] Open
Abstract
The recurrent hormonal fluctuations within reproductive cycles impact sleep-wake behavior in women and in rats and mice used in preclinical models of sleep research. Strides have been made in sleep-related clinical trials to include equal numbers of women; however, the inclusion of female rodents in neuroscience and sleep research is lacking. Female animals are commonly omitted from studies over concerns of the effect of estrus cycle hormones on measured outcomes. This review highlights the estrous cycle's broad effects on sleep-wake behavior: from changes in sleep macroarchitecture to regionally specific alterations in neural oscillations. These changes are largely driven by cycle-dependent ovarian hormonal fluctuations occurring during proestrus and estrus that modulate neural circuits regulating sleep-wake behavior. Removal of estrous cycle influence by ovariectomy ablates characteristic sleep changes. Further, sex differences in sleep are present between gonadally intact females and males. Removal of reproductive hormones via gonadectomy in both sexes mitigates some, but not all sex differences. We examine the extent to which reproductive hormones and sex chromosomes contribute to sex differences in sleep-wake behavior. Finally, this review addresses the limitations in our understanding of the estrous cycle's impact on sleep-wake behavior, gaps in female sleep research that are well studied in males, and the implications that ignoring the estrous cycle has on studies of sleep-related processes.
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Affiliation(s)
- Kevin M Swift
- Medical Readiness Systems Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Nicholas C Gary
- Medical Readiness Systems Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Phillip J Urbanczyk
- Medical Readiness Systems Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States
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4
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Baena D, Toor B, van den Berg NH, Ray LB, Fogel SM. Spindle-slow wave coupling and problem-solving skills: impact of age. Sleep 2024; 47:zsae072. [PMID: 38477166 PMCID: PMC11236953 DOI: 10.1093/sleep/zsae072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/06/2024] [Indexed: 03/14/2024] Open
Abstract
We examined how aging affects the role of sleep in the consolidation of newly learned cognitive strategies. Forty healthy young adults (20-35 years) and 30 healthy older adults (60-85 years) were included. Participants were trained on the Tower of Hanoi (ToH) task, then, half of each age group were assigned to either the 90-minute nap condition, or stayed awake, before retesting. The temporal co-occurrence between slow waves (SW) and sleep spindles (SP) during non-rapid eye movement sleep was examined as a function of age in relation to memory consolidation of problem-solving skills. We found that despite intact learning, older adults derived a reduced benefit of sleep for problem-solving skills relative to younger adults. As expected, the percentage of coupled spindles was lower in older compared to younger individuals from control to testing sessions. Furthermore, coupled spindles in young adults were more strongly coupled to the SW upstate compared to older individuals. Coupled spindles in older individuals were lower in amplitude (mean area under the curve; μV) compared to the young group. Lastly, there was a significant relationship between offline gains in accuracy on the ToH and percent change of spindles coupled to the upstate of the slow wave in older, but not younger adults. Multiple regression revealed that age accounted for differences in offline gains in accuracy, as did spindle coupling during the upstate. These results suggest that with aging, spindle-slow wave coupling decreases. However, the degree of the preservation of coupling with age correlates with the extent of problem-solving skill consolidation during sleep.
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Affiliation(s)
- Daniel Baena
- 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
| | - Balmeet Toor
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | | | - Laura B Ray
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Stuart M Fogel
- 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
- University of Ottawa Brain and Mind Institute, University of Ottawa, Ottawa, ON, Canada
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5
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Fleischer P, Abbasi A, Gulati T. Modulation of neural spiking in motor cortex-cerebellar networks during sleep spindles. eNeuro 2024; 11:ENEURO.0150-23.2024. [PMID: 38641414 DOI: 10.1523/eneuro.0150-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 03/21/2024] [Accepted: 03/28/2024] [Indexed: 04/21/2024] Open
Abstract
Sleep spindles appear to play an important role in learning new motor skills. Motor skill learning engages several regions in the brain with two important areas being the motor cortex (M1) and the cerebellum. However, the neurophysiological processes in these areas during sleep, especially how spindle oscillations affect local and cross-region spiking, are not fully understood. We recorded activity from the M1 and cerebellar cortex in 8 rats during spontaneous activity to investigate how sleep spindles in these regions are related to local spiking as well as cross-region spiking. We found that M1 firing was significantly changed during both M1 and cerebellum spindles and this spiking occurred at a preferred phase of the spindle. On average, M1 and cerebellum neurons showed most spiking at the M1 or cerebellum spindle peaks. These neurons also developed a preferential phase-locking to local or cross-area spindles with the greatest phase-locking value at spindle peaks; however, this preferential phase-locking wasn't significant for cerebellar neurons when compared to cerebellum spindles. Additionally, we found the percentage of task-modulated cells in the M1 and cerebellum that fired with non-uniform spike-phase distribution during M1/ cerebellum spindle peaks were greater in the rats that learned a reach-to-grasp motor task robustly. Finally, we found that spindle-band LFP coherence (for M1 and cerebellum LFPs) showed a positive correlation with success rate in the motor task. These findings support the idea that sleep spindles in both the M1 and cerebellum recruit neurons that participate in the awake task to support motor memory consolidation.Significance Statement Neural processing during sleep spindles is linked to memory consolidation. However, little is known about sleep activity in the cerebellum and whether cerebellum spindles can affect spiking activity in local or distant areas. We report the effect of sleep spindles on neuron activity in the M1 and cerebellum-specifically their firing rate and phase-locking to spindle oscillations. Our results indicate that awake practice neuronal activity is tempered during local M1 and cerebellum spindles, and during cross-region spindles, which may support motor skill learning. We describe spiking dynamics in motor networks spindle oscillations that may aid in the learning of skills. Our results support the sleep reactivation hypothesis and suggest that awake M1 activity may be reactivated during cerebellum spindles.
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Affiliation(s)
- Pierson Fleischer
- Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048
| | - Aamir Abbasi
- Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048
| | - Tanuj Gulati
- Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048
- Department of Neurology, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048
- Department of Medicine, David Geffen School of Medicine; and Department of Bioengineering, Henry Samueli School of Engineering, University of California-Los Angeles, 10833 Le Conte Ave, Los Angeles, CA 90095
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6
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Agostini A, Centofanti S. Normal Sleep in Children and Adolescence. Psychiatr Clin North Am 2024; 47:1-14. [PMID: 38302199 DOI: 10.1016/j.psc.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Adequate sleep is essential for healthy development in childhood and adolescence. Healthy sleep contributes to good physical health, immune function, mental health, and academic performance. The regulation and architecture of sleep change greatly across childhood and adolescence, and the ability to obtain sufficient sleep is impacted by a range of factors that change with maturation. This article describes normal sleep across childhood and adolescence and discusses some of the most common barriers to adequate sleep, including early school start times, technology use, and changes to circadian rhythms, and sleep homeostasis across puberty.
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Affiliation(s)
- Alex Agostini
- Sleep and Chronobiology Laboratory, University of South Australia, Adelaide, Australia.
| | - Stephanie Centofanti
- UniSA Online, University of South Australia, University of South Australia Online, L4, Catherine Helen Spence Building, City West Campus, Adelaide, South Australia 5000, Australia
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Chen S, He M, Brown RE, Eden UT, Prerau MJ. Individualized temporal patterns dominate cortical upstate and sleep depth in driving human sleep spindle timing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.22.581592. [PMID: 38464146 PMCID: PMC10925076 DOI: 10.1101/2024.02.22.581592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Sleep spindles are critical for memory consolidation and strongly linked to neurological disease and aging. Despite their significance, the relative influences of factors like sleep depth, cortical up/down states, and spindle temporal patterns on individual spindle production remain poorly understood. Moreover, spindle temporal patterns are typically ignored in favor of an average spindle rate. Here, we analyze spindle dynamics in 1008 participants from the Multi-Ethnic Study of Atherosclerosis using a point process framework. Results reveal fingerprint-like temporal patterns, characterized by a refractory period followed by a period of increased spindle activity, which are highly individualized yet consistent night-to-night. We observe increased timing variability with age and distinct gender/age differences. Strikingly, and in contrast to the prevailing notion, individualized spindle patterns are the dominant determinant of spindle timing, accounting for over 70% of the statistical deviance explained by all of the factors we assessed, surpassing the contribution of slow oscillation (SO) phase (~14%) and sleep depth (~16%). Furthermore, we show spindle/SO coupling dynamics with sleep depth are preserved across age, with a global negative shift towards the SO rising slope. These findings offer novel mechanistic insights into spindle dynamics with direct experimental implications and applications to individualized electroencephalography biomarker identification.
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Affiliation(s)
- Shuqiang Chen
- Graduate Program for Neuroscience, Boston University, Boston, MA, USA
| | - Mingjian He
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ritchie E. Brown
- VA Boston Healthcare System and Harvard Medical School, Department of Psychiatry, West Roxbury, MA, USA
| | - Uri T. Eden
- Department of Mathematics and Statistics, Boston University, Boston, MA, USA
| | - Michael J. Prerau
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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8
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Deperrois N, Petrovici MA, Senn W, Jordan J. Learning beyond sensations: How dreams organize neuronal representations. Neurosci Biobehav Rev 2024; 157:105508. [PMID: 38097096 DOI: 10.1016/j.neubiorev.2023.105508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/05/2023] [Accepted: 12/09/2023] [Indexed: 12/25/2023]
Abstract
Semantic representations in higher sensory cortices form the basis for robust, yet flexible behavior. These representations are acquired over the course of development in an unsupervised fashion and continuously maintained over an organism's lifespan. Predictive processing theories propose that these representations emerge from predicting or reconstructing sensory inputs. However, brains are known to generate virtual experiences, such as during imagination and dreaming, that go beyond previously experienced inputs. Here, we suggest that virtual experiences may be just as relevant as actual sensory inputs in shaping cortical representations. In particular, we discuss two complementary learning principles that organize representations through the generation of virtual experiences. First, "adversarial dreaming" proposes that creative dreams support a cortical implementation of adversarial learning in which feedback and feedforward pathways engage in a productive game of trying to fool each other. Second, "contrastive dreaming" proposes that the invariance of neuronal representations to irrelevant factors of variation is acquired by trying to map similar virtual experiences together via a contrastive learning process. These principles are compatible with known cortical structure and dynamics and the phenomenology of sleep thus providing promising directions to explain cortical learning beyond the classical predictive processing paradigm.
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Affiliation(s)
| | | | - Walter Senn
- Department of Physiology, University of Bern, Bern, Switzerland
| | - Jakob Jordan
- Department of Physiology, University of Bern, Bern, Switzerland; Electrical Engineering, Yale University, New Haven, CT, United States
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9
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Erlacher D, Schmid D, Zahno S, Schredl M. Changing Sleep Architecture through Motor Learning: Influences of a Trampoline Session on REM Sleep Parameters. Life (Basel) 2024; 14:203. [PMID: 38398711 PMCID: PMC10890242 DOI: 10.3390/life14020203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/22/2023] [Accepted: 01/11/2024] [Indexed: 02/25/2024] Open
Abstract
Previous research has shown that learning procedural tasks enhances REM sleep the following night. Here, we investigate whether complex motor learning affects sleep architecture. An experiment in which twenty-two subjects either learned a motor task (trampolining) or engaged in a control task (ergometer) was carried out in a balanced within-group design. After an initial laboratory adaptation night, two experimental nights were consecutive. The results indicate that learning a motor task had an effect on REM sleep parameters and, therefore, support the hypothesis that learning a procedural skill is related to an increase in REM sleep parameters. However, the statistical effect on REM sleep is smaller than found in previous studies. One might speculate that the motor learning was not intense enough compared to other studies. For sports practice, the results suggest that REM sleep, which is particularly rich in the morning, plays an important role in motor memory consolidation. Thus, this phase should not be interrupted after complex motor skill learning sessions. In future studies, other motor tasks should be applied.
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Affiliation(s)
- Daniel Erlacher
- Institute of Sport Science, University of Bern, CH-3012 Bern, Switzerland; (D.S.); (S.Z.)
| | - Daniel Schmid
- Institute of Sport Science, University of Bern, CH-3012 Bern, Switzerland; (D.S.); (S.Z.)
| | - Stephan Zahno
- Institute of Sport Science, University of Bern, CH-3012 Bern, Switzerland; (D.S.); (S.Z.)
| | - Michael Schredl
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany;
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10
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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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11
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Mao T, Chai Y, Guo B, Quan P, Rao H. Sleep Architecture and Sleep EEG Alterations are Associated with Impaired Cognition Under Sleep Restriction. Nat Sci Sleep 2023; 15:823-838. [PMID: 37850195 PMCID: PMC10578164 DOI: 10.2147/nss.s420650] [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: 05/17/2023] [Accepted: 10/06/2023] [Indexed: 10/19/2023] Open
Abstract
Purpose Many studies have investigated the cognitive, emotional, and other impairments caused by sleep restriction. However, few studies have explored the relationship between cognitive performance and changes in sleep structure and electroencephalography (EEG) during sleep. The present study aimed to examine whether changes in sleep structure and EEG can account for cognitive impairment caused by sleep restriction. Patients and Methods Sixteen young adults spent five consecutive nights (adaptation 9h, baseline 8h, 1st restriction 6h, 2nd restriction 6h, and recovery 10h) in a sleep laboratory, with polysomnography recordings taken during sleep. Throughout waking periods in each condition, participants completed the psychomotor vigilance test (PVT), which measures vigilant attention, and the Go/No-Go task, which measures inhibition control. Results The results showed that sleep restriction significantly decreased the proportion of N1 and N2 sleep, increased the proportion of N3 sleep, and reduced the time spent awake after sleep onset (WASO) and sleep onset latency. Poorer performance on the PVT and Go/No Go task was associated with longer WASO, a larger proportion of N3 sleep, and a smaller proportion of N2 sleep. Additionally, the power spectral density of delta waves significantly increased after sleep restriction, and this increase predicted a decrease in vigilance and inhibition control the next day. Conclusion These findings suggest that sleep architecture and EEG signatures may partially explain cognitive impairment caused by sleep restriction.
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Affiliation(s)
- Tianxin Mao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, People’s Republic of China
- School of Psychology, South China Normal University, Guangzhou, People’s Republic of China
| | - Ya Chai
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Bowen Guo
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, People’s Republic of China
| | - Peng Quan
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Research Center for Quality of Life and Applied Psychology, Guangdong Medical University, Dongguan, People’s Republic of China
| | - Hengyi Rao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, People’s Republic of China
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
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12
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Kumral D, Matzerath A, Leonhart R, Schönauer M. Spindle-dependent memory consolidation in healthy adults: A meta-analysis. Neuropsychologia 2023; 189:108661. [PMID: 37597610 DOI: 10.1016/j.neuropsychologia.2023.108661] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/23/2023] [Accepted: 08/12/2023] [Indexed: 08/21/2023]
Abstract
Accumulating evidence suggests a central role for sleep spindles in the consolidation of new memories. However, no meta-analysis of the association between sleep spindles and memory performance has been conducted so far. Here, we report meta-analytical evidence for spindle-memory associations and investigate how multiple factors, including memory type, spindle type, spindle characteristics, and EEG topography affect this relationship. The literature search yielded 53 studies reporting 1427 effect sizes, resulting in a small to moderate effect for the average association. We further found that spindle-memory associations were significantly stronger for procedural memory than for declarative memory. Neither spindle types nor EEG scalp topography had an impact on the strength of the spindle-memory relation, but we observed a distinct functional role of global and fast sleep spindles, especially for procedural memory. We also found a moderation effect of spindle characteristics, with power showing the largest effect sizes. Collectively, our findings suggest that sleep spindles are involved in learning, thereby representing a general physiological mechanism for memory consolidation.
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Affiliation(s)
- Deniz Kumral
- Institute of Psychology, Neuropsychology, University of Freiburg, Freiburg Im Breisgau, Germany; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | - Alina Matzerath
- Institute of Psychology, Neuropsychology, University of Freiburg, Freiburg Im Breisgau, Germany
| | - Rainer Leonhart
- Institute of Psychology, Social Psychology and Methodology, University of Freiburg, Freiburg Im Breisgau, Germany
| | - Monika Schönauer
- Institute of Psychology, Neuropsychology, University of Freiburg, Freiburg Im Breisgau, Germany; Bernstein Center Freiburg, Freiburg Im Breisgau, Germany
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13
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Palepu K, Sadeghi K, Kleinschmidt DF, Donoghue J, Chapman S, Arslan AR, Westover MB, Cash SS, Pathmanathan J. An examination of sleep spindle metrics in the Sleep Heart Health Study: superiority of automated spindle detection over total sigma power in assessing age-related spindle decline. BMC Neurol 2023; 23:359. [PMID: 37803266 PMCID: PMC10557170 DOI: 10.1186/s12883-023-03376-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 09/08/2023] [Indexed: 10/08/2023] Open
Abstract
BACKGROUND Sleep spindle activity is commonly estimated by measuring sigma power during stage 2 non-rapid eye movement (NREM2) sleep. However, spindles account for little of the total NREM2 interval and therefore sigma power over the entire interval may be misleading. This study compares derived spindle measures from direct automated spindle detection with those from gross power spectral analyses for the purposes of clinical trial design. METHODS We estimated spindle activity in a set of 8,440 overnight electroencephalogram (EEG) recordings from 5,793 patients from the Sleep Heart Health Study using both sigma power and direct automated spindle detection. Performance of the two methods was evaluated by determining the sample size required to detect decline in age-related spindle coherence with each method in a simulated clinical trial. RESULTS In a simulated clinical trial, sigma power required a sample size of 115 to achieve 95% power to identify age-related changes in sigma coherence, while automated spindle detection required a sample size of only 60. CONCLUSIONS Measurements of spindle activity utilizing automated spindle detection outperformed conventional sigma power analysis by a wide margin, suggesting that many studies would benefit from incorporation of automated spindle detection. These results further suggest that some previous studies which have failed to detect changes in sigma power or coherence may have failed simply because they were underpowered.
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Affiliation(s)
- Kalyan Palepu
- Beacon Biosignals, 22 Boston Wharf Rd 7th Floor, Suite 41, Boston, MA, 02210, USA
| | - Kolia Sadeghi
- Beacon Biosignals, 22 Boston Wharf Rd 7th Floor, Suite 41, Boston, MA, 02210, USA
| | - Dave F Kleinschmidt
- Beacon Biosignals, 22 Boston Wharf Rd 7th Floor, Suite 41, Boston, MA, 02210, USA
| | - Jacob Donoghue
- Beacon Biosignals, 22 Boston Wharf Rd 7th Floor, Suite 41, Boston, MA, 02210, USA
| | - Seth Chapman
- Beacon Biosignals, 22 Boston Wharf Rd 7th Floor, Suite 41, Boston, MA, 02210, USA
| | - Alexander R Arslan
- Beacon Biosignals, 22 Boston Wharf Rd 7th Floor, Suite 41, Boston, MA, 02210, USA
| | - M Brandon Westover
- Beacon Biosignals, 22 Boston Wharf Rd 7th Floor, Suite 41, Boston, MA, 02210, USA
- Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02215, USA
| | - Sydney S Cash
- Beacon Biosignals, 22 Boston Wharf Rd 7th Floor, Suite 41, Boston, MA, 02210, USA
- Clinical Data Animation Center (CDAC), Massachusetts General Hospital, 50 Staniford Street, Fruit St, Boston, MA, 02114, USA
| | - Jay Pathmanathan
- Beacon Biosignals, 22 Boston Wharf Rd 7th Floor, Suite 41, Boston, MA, 02210, USA.
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14
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Liang ZW, Weng YY, Li X, Liu XY, Lin GJ, Yu J. The influence of cognitive activity on subsequent daytime nap: A deep neural network model based on sleep spindles. Physiol Behav 2023; 269:114287. [PMID: 37406789 DOI: 10.1016/j.physbeh.2023.114287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/30/2023] [Accepted: 07/01/2023] [Indexed: 07/07/2023]
Abstract
OBJECTIVES Understanding the influence of cognitive activity on subsequent sleep has both theoretical and applied implications. This study aims to investigate the effect of pre-sleep cognitive activity, in the context of avoiding emotional interference, on macro-sleep and sleep spindles. METHODS In a within-subjects design, participants' sleep electroencephalography was collected in both the with and without pre-sleep cognitive activity conditions. Subsequent macro-sleep (i.e., sleep stage distribution and sleep parameters) and spindle characteristics (i.e., density, amplitude, duration, and frequency) were analyzed. In addition, a novel machine learning framework (i.e., deep neural network, DNN) was used to discriminate between cognitive activity and control conditions. RESULTS There were no significant differences in macro-sleep and sleep spindles between the cognitive activity and control conditions. Spindles-based DNN models achieved over 96% accuracy in differentiating between the two conditions, with fast spindles performing better than full-range and slow spindles. CONCLUSIONS These results suggest a weak but positive effect of pre-sleep cognitive activity on subsequent sleep. It sheds light on a possible low-cost and easily accessible sleep intervention strategy for clinical and educational purposes.
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Affiliation(s)
- Zi-Wei Liang
- Faculty of Psychology, Southwest University, Chongqing, China
| | - Yuan-Yuan Weng
- Faculty of Psychology, Southwest University, Chongqing, China; Department of Experimental Psychology, University of Groningen, Groningen, Netherlands
| | | | - Xiao-Yi Liu
- Faculty of Psychology, Southwest University, Chongqing, China; Department of Psychology and Behavioural Sciences, Zhejiang University, Hangzhou, China
| | - Guo-Jun Lin
- Faculty of Psychology, Southwest University, Chongqing, China
| | - Jing Yu
- Faculty of Psychology, Southwest University, Chongqing, China.
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15
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Conessa A, Debarnot U, Siegler I, Boutin A. Sleep-related motor skill consolidation and generalizability after physical practice, motor imagery, and action observation. iScience 2023; 26:107314. [PMID: 37520714 PMCID: PMC10374463 DOI: 10.1016/j.isci.2023.107314] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/15/2023] [Accepted: 07/04/2023] [Indexed: 08/01/2023] Open
Abstract
Sleep benefits the consolidation of motor skills learned by physical practice, mainly through periodic thalamocortical sleep spindle activity. However, motor skills can be learned without overt movement through motor imagery or action observation. Here, we investigated whether sleep spindle activity also supports the consolidation of non-physically learned movements. Forty-five electroencephalographic sleep recordings were collected during a daytime nap after motor sequence learning by physical practice, motor imagery, or action observation. Our findings reveal that a temporal cluster-based organization of sleep spindles underlies motor memory consolidation in all groups, albeit with distinct behavioral outcomes. A daytime nap offers an early sleep window promoting the retention of motor skills learned by physical practice and motor imagery, and its generalizability toward the inter-manual transfer of skill after action observation. Findings may further have practical impacts with the development of non-physical rehabilitation interventions for patients having to remaster skills following peripherical or brain injury.
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Affiliation(s)
- Adrien Conessa
- Université Paris-Saclay, CIAMS, 91405 Orsay, France
- Université d’Orléans, CIAMS, 45067 Orléans, France
| | - Ursula Debarnot
- University Lyon, UCBL-Lyon 1, Inter-University Laboratory of Human Movement Biology, EA7424, 69622 Villeurbanne, France
- Institut Universitaire de France, Paris, France
| | - Isabelle Siegler
- Université Paris-Saclay, CIAMS, 91405 Orsay, France
- Université d’Orléans, CIAMS, 45067 Orléans, France
| | - Arnaud Boutin
- Université Paris-Saclay, CIAMS, 91405 Orsay, France
- Université d’Orléans, CIAMS, 45067 Orléans, France
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16
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van den Berg NH, Gibbings A, Baena D, Pozzobon A, Al-Kuwatli J, Ray LB, Fogel SM. Eye movements during phasic versus tonic rapid eye movement sleep are biomarkers of dissociable electroencephalogram processes for the consolidation of novel problem-solving skills. Sleep 2023; 46:zsad151. [PMID: 37246548 DOI: 10.1093/sleep/zsad151] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/22/2023] [Indexed: 05/30/2023] Open
Abstract
The hallmark eye movement (EM) bursts that occur during rapid eye movement (REM) sleep are markers of consolidation for procedural memory involving novel cognitive strategies and problem-solving skills. Examination of the brain activity associated with EMs during REM sleep might elucidate the processes involved in memory consolidation, and may uncover the functional significance of REM sleep and EMs themselves. Participants performed a REM-dependent, novel procedural problem-solving task (i.e. the Tower of Hanoi; ToH) before and after intervals of either overnight sleep (n = 20) or a daytime 8-hour wake period (n = 20). In addition, event-related spectral perturbation of the electroencephalogram (EEG) time-locked to EMs occurring either in bursts (i.e. phasic REM), or in isolation (i.e. tonic REM), were compared to sleep on a non-learning control night. ToH improvement was greater following sleep compared to wakefulness. During sleep, prefrontal theta (~2-8 Hz) and central-parietal-occipital sensorimotor rhythm (SMR) activity (~8-16 Hz) time-locked to EMs, were greater on the ToH night versus control night, and during phasic REM sleep, were both positively correlated with overnight memory improvements. Furthermore, SMR power during tonic REM increased significantly from the control night to ToH night, but was relatively stable from night to night during phasic REM. These results suggest that EMs are markers of learning-related increases in theta and SMR during phasic and tonic REM sleep. Phasic and tonic REM sleep may be functionally distinct in terms of their contribution to procedural memory consolidation.
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Affiliation(s)
| | - Aaron Gibbings
- School of Psychology, University of Ottawa, Ottawa, Canada
| | - Daniel Baena
- School of Psychology, University of Ottawa, Ottawa, Canada
| | | | | | - Laura B Ray
- School of Psychology, University of Ottawa, Ottawa, Canada
- The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, Canada
- University of Ottawa Brain and Mind Research Institute, University of Ottawa, Ottawa, Canada
| | - Stuart M Fogel
- School of Psychology, University of Ottawa, Ottawa, Canada
- The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, Canada
- University of Ottawa Brain and Mind Research Institute, University of Ottawa, Ottawa, Canada
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17
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Temporiti F, Calcagno A, Coelli S, Marino G, Gatti R, Bianchi AM, Galli M. Early sleep after action observation and motor imagery training boosts improvements in manual dexterity. Sci Rep 2023; 13:2609. [PMID: 36788349 PMCID: PMC9929332 DOI: 10.1038/s41598-023-29820-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 02/10/2023] [Indexed: 02/16/2023] Open
Abstract
The systematic observation and imagination of actions promotes acquisition of motor skills. Furthermore, studies demonstrated that early sleep after practice enhances motor learning through an offline stabilization process. Here, we investigated behavioral effects and neurodynamical correlates of early sleep after action observation and motor imagery training (AO + MI-training) on motor learning in terms of manual dexterity. Forty-five healthy participants were randomized into three groups receiving a 3 week intervention consisting of AO + MI-training immediately before sleeping or AO + MI-training at least 12 h before sleeping or a control stimulation. AO + MI-training implied the observation and motor imagery of transitive manual dexterity tasks, whereas the control stimulation consisted of landscape video-clips observation. Manual dexterity was assessed using functional tests, kinematic and neurophysiological outcomes before and after the training and at 1-month follow-up. AO + MI-training improved manual dexterity, but subjects performing AO + MI-training followed by early sleep had significantly larger improvements than those undergoing the same training at least 12 h before sleeping. Behavioral findings were supported by neurodynamical correlates during motor performance and additional sleep-dependent benefits were also detected at 1 month follow-up. These findings introduce a new approach to enhance the acquisition of new motor skills or facilitate recovery in patients with motor impairments.
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Affiliation(s)
- Federico Temporiti
- Physiotherapy Unit, Humanitas Clinical and Research Center - IRCCS, Via Manzoni 56, Rozzano, Milan, Italy.
- Department of Electronic, Information and Bioengineering, Politecnico Di Milano, Via Ponzio 34, Milan, Italy.
| | - Alessandra Calcagno
- Department of Electronic, Information and Bioengineering, Politecnico Di Milano, Via Ponzio 34, Milan, Italy
| | - Stefania Coelli
- Department of Electronic, Information and Bioengineering, Politecnico Di Milano, Via Ponzio 34, Milan, Italy
| | - Giorgia Marino
- Physiotherapy Unit, Humanitas Clinical and Research Center - IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
| | - Roberto Gatti
- Physiotherapy Unit, Humanitas Clinical and Research Center - IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan, Italy
| | - Anna Maria Bianchi
- Department of Electronic, Information and Bioengineering, Politecnico Di Milano, Via Ponzio 34, Milan, Italy
| | - Manuela Galli
- Department of Electronic, Information and Bioengineering, Politecnico Di Milano, Via Ponzio 34, Milan, Italy
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18
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Bozic I, Rusterholz T, Mikutta C, Del Rio-Bermudez C, Nissen C, Adamantidis A. Coupling between the prelimbic cortex, nucleus reuniens, and hippocampus during NREM sleep remains stable under cognitive and homeostatic demands. Eur J Neurosci 2023; 57:106-128. [PMID: 36310348 DOI: 10.1111/ejn.15853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 09/28/2022] [Accepted: 10/05/2022] [Indexed: 02/02/2023]
Abstract
The interplay between the medial prefrontal cortex and hippocampus during non-rapid eye movement (NREM) sleep contributes to the consolidation of contextual memories. To assess the role of the thalamic nucleus reuniens (Nre) in this interaction, we investigated the coupling of neuro-oscillatory activities among prelimbic cortex, Nre, and hippocampus across sleep states and their role in the consolidation of contextual memories using multi-site electrophysiological recordings and optogenetic manipulations. We showed that ripples are time-locked to the Up state of cortical slow waves, the transition from UP to DOWN state in thalamic slow waves, the troughs of cortical spindles, and the peaks of thalamic spindles during spontaneous sleep, rebound sleep and sleep following a fear conditioning task. In addition, spiking activity in Nre increased before hippocampal ripples, and the phase-locking of hippocampal ripples and thalamic spindles during NREM sleep was stronger after acquisition of a fear memory. We showed that optogenetic inhibition of Nre neurons reduced phase-locking of ripples to cortical slow waves in the ventral hippocampus whilst their activation altered the preferred phase of ripples to slow waves in ventral and dorsal hippocampi. However, none of these optogenetic manipulations of Nre during sleep after acquisition of fear conditioning did alter sleep-dependent memory consolidation. Collectively, these results showed that Nre is central in modulating hippocampus and cortical rhythms during NREM sleep.
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Affiliation(s)
- Ivan Bozic
- Zentrum für Experimentelle Neurologie, Department of Neurology, Inselspital University Hospital Bern, Bern, Switzerland.,Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Thomas Rusterholz
- Zentrum für Experimentelle Neurologie, Department of Neurology, Inselspital University Hospital Bern, Bern, Switzerland.,Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Christian Mikutta
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.,Privatklinik Meiringen, Meiringen, Switzerland.,Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Carlos Del Rio-Bermudez
- Zentrum für Experimentelle Neurologie, Department of Neurology, Inselspital University Hospital Bern, Bern, Switzerland.,Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Christoph Nissen
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Antoine Adamantidis
- Zentrum für Experimentelle Neurologie, Department of Neurology, Inselspital University Hospital Bern, Bern, Switzerland.,Department of Biomedical Research, University of Bern, Bern, Switzerland.,Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
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19
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Jackson A, Xu W. Role of cerebellum in sleep-dependent memory processes. Front Syst Neurosci 2023; 17:1154489. [PMID: 37143709 PMCID: PMC10151545 DOI: 10.3389/fnsys.2023.1154489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 03/31/2023] [Indexed: 05/06/2023] Open
Abstract
The activities and role of the cerebellum in sleep have, until recently, been largely ignored by both the sleep and cerebellum fields. Human sleep studies often neglect the cerebellum because it is at a position in the skull that is inaccessible to EEG electrodes. Animal neurophysiology sleep studies have focussed mainly on the neocortex, thalamus and the hippocampus. However, recent neurophysiological studies have shown that not only does the cerebellum participate in the sleep cycle, but it may also be implicated in off-line memory consolidation. Here we review the literature on cerebellar activity during sleep and the role it plays in off-line motor learning, and introduce a hypothesis whereby the cerebellum continues to compute internal models during sleep that train the neocortex.
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Affiliation(s)
- Andrew Jackson
- Institute of Biosciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Wei Xu
- Centre for Discovery Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom
- *Correspondence: Wei Xu,
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20
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Okadome T, Yamaguchi T, Mukaino T, Sakata A, Ogata K, Shigeto H, Isobe N, Uehara T. The effect of interictal epileptic discharges and following spindles on motor sequence learning in epilepsy patients. Front Neurol 2022; 13:979333. [PMID: 36438951 PMCID: PMC9686303 DOI: 10.3389/fneur.2022.979333] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 10/25/2022] [Indexed: 09/05/2023] Open
Abstract
PURPOSE Interictal epileptic discharges (IEDs) are known to affect cognitive function in patients with epilepsy, but the mechanism has not been elucidated. Sleep spindles appearing in synchronization with IEDs were recently demonstrated to impair memory consolidation in rat, but this has not been investigated in humans. On the other hand, the increase of sleep spindles at night after learning is positively correlated with amplified learning effects during sleep for motor sequence learning. In this study, we examined the effects of IEDs and IED-coupled spindles on motor sequence learning in patients with epilepsy, and clarified their pathological significance. MATERIALS AND METHODS Patients undergoing long-term video-electroencephalography (LT-VEEG) at our hospital from June 2019 to November 2021 and age-matched healthy subjects were recruited. Motor sequence learning consisting of a finger-tapping task was performed before bedtime and the next morning, and the improvement rate of performance was defined as the sleep-dependent learning effect. We searched for factors associated with the changes in learning effect observed between the periods of when antiseizure medications (ASMs) were withdrawn for LT-VEEG and when they were returned to usual doses after LT-VEEG. RESULTS Excluding six patients who had epileptic seizures at night after learning, nine patients and 11 healthy subjects were included in the study. In the patient group, there was no significant learning effect when ASMs were withdrawn. The changes in learning effect of the patient group during ASM withdrawal were not correlated with changes in sleep duration or IED density; however, they were significantly negatively correlated with changes in IED-coupled spindle density. CONCLUSION We found that the increase of IED-coupled spindles correlated with the decrease of sleep-dependent learning effects of procedural memory. Pathological IED-coupled sleep spindles could hinder memory consolidation, that is dependent on physiological sleep spindles, resulting in cognitive dysfunction in patients with epilepsy.
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Affiliation(s)
- Toshiki Okadome
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takahiro Yamaguchi
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takahiko Mukaino
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Ayumi Sakata
- Department of Clinical Chemistry and Laboratory Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Katsuya Ogata
- Department of Pharmacy, School of Pharmaceutical Sciences at Fukuoka, International University of Health and Welfare, Okawa, Japan
| | - Hiroshi Shigeto
- Division of Medical Technology, Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Noriko Isobe
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Taira Uehara
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Neurology, School of Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan
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21
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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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22
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The Portiloop: A deep learning-based open science tool for closed-loop brain stimulation. PLoS One 2022; 17:e0270696. [PMID: 35994482 PMCID: PMC9394839 DOI: 10.1371/journal.pone.0270696] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 06/15/2022] [Indexed: 12/01/2022] Open
Abstract
Closed-loop brain stimulation refers to capturing neurophysiological measures such as electroencephalography (EEG), quickly identifying neural events of interest, and producing auditory, magnetic or electrical stimulation so as to interact with brain processes precisely. It is a promising new method for fundamental neuroscience and perhaps for clinical applications such as restoring degraded memory function; however, existing tools are expensive, cumbersome, and offer limited experimental flexibility. In this article, we propose the Portiloop, a deep learning-based, portable and low-cost closed-loop stimulation system able to target specific brain oscillations. We first document open-hardware implementations that can be constructed from commercially available components. We also provide a fast, lightweight neural network model and an exploration algorithm that automatically optimizes the model hyperparameters to the desired brain oscillation. Finally, we validate the technology on a challenging test case of real-time sleep spindle detection, with results comparable to off-line expert performance on the Massive Online Data Annotation spindle dataset (MODA; group consensus). Software and plans are available to the community as an open science initiative to encourage further development and advance closed-loop neuroscience research [https://github.com/Portiloop].
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23
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Reicher V, Bálint A, Újváry D, Gácsi M. Non-invasive sleep EEG measurement in hand raised wolves. Sci Rep 2022; 12:9792. [PMID: 35697910 PMCID: PMC9191399 DOI: 10.1038/s41598-022-13643-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 05/17/2022] [Indexed: 11/10/2022] Open
Abstract
Sleep research greatly benefits from comparative studies to understand the underlying physiological and environmental factors affecting the different features of sleep, also informing us about the possible evolutionary changes shaping them. Recently, the domestic dog became an exceedingly valuable model species in sleep studies, as the use of non-invasive polysomnography methodologies enables direct comparison with human sleep data. In this study, we applied the same polysomnography protocol to record the sleep of dog’s closest wild relative, the wolf. We measured the sleep of seven captive (six young and one senior), extensively socialized wolves using a fully non-invasive sleep EEG methodology, originally developed for family dogs. We provide the first descriptive analysis of the sleep macrostructure and NREM spectral power density of wolves using a completely non-invasive methodology. For (non-statistical) comparison, we included the same sleep data of similarly aged dogs. Although our sample size was inadequate to perform statistical analyses, we suggest that it may form the basis of an international, multi-site collection of similar samples using our methodology, allowing for generalizable, unbiased conclusions. As we managed to register both macrostructural and spectral sleep data, our procedure appears to be suitable for collecting valid data in other species too, increasing the comparability of non-invasive sleep studies.
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Affiliation(s)
- Vivien Reicher
- Department of Ethology, Doctoral School of Biology, Institute of Biology, Eötvös Loránd University, Budapest, Hungary. .,MTA-ELTE Comparative Ethology Research Group, Budapest, Hungary.
| | - Anna Bálint
- MTA-ELTE Comparative Ethology Research Group, Budapest, Hungary
| | - Dóra Újváry
- Department of Ethology, Institute of Biology, Eötvös Loránd University, Budapest, Hungary
| | - Márta Gácsi
- MTA-ELTE Comparative Ethology Research Group, Budapest, Hungary.,Department of Ethology, Institute of Biology, Eötvös Loránd University, Budapest, Hungary
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24
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Afolabi-Brown O, Moore ME, Tapia IE. Sleep Deficiency in Adolescents: The School Start Time Debate. Clin Chest Med 2022; 43:239-247. [PMID: 35659022 DOI: 10.1016/j.ccm.2022.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Adolescence is commonly accepted as a challenging time for sleep, with multiple factors contributing to sleep deficiency in adolescents. These include physiologic changes with shifts in their circadian rhythm; medical sleep disorders; and social, cultural, and environmental factors. Early school start times negatively affect sleep in adolescents as well, with poorer outcomes in their overall health, wellbeing, and performance. This article highlights the different contributing factors for sleep deficiency in adolescents and the consequences of sleep deficiency. In addition, the authors discuss the impact of delayed school start times in improving adolescents' sleep and overall function.
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Affiliation(s)
- Olufunke Afolabi-Brown
- Division of Pulmonary and Sleep Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA 19104, USA.
| | - Melisa E Moore
- Division of Pulmonary and Sleep Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA 19104, USA; Department of Children and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ignacio E Tapia
- Division of Pulmonary and Sleep Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA 19104, USA
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Toor B, van den Berg NH, Fang Z, Pozzobon A, Ray LB, Fogel SM. Age-related differences in problem-solving skills: Reduced benefit of sleep for memory trace consolidation. Neurobiol Aging 2022; 116:55-66. [DOI: 10.1016/j.neurobiolaging.2022.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 04/05/2022] [Accepted: 04/17/2022] [Indexed: 10/18/2022]
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Parker JL, Appleton SL, Melaku YA, D'Rozario AL, Wittert GA, Martin SA, Toson B, Catcheside PG, Lechat B, Teare AJ, Adams RJ, Vakulin A. The association between sleep microarchitecture and cognitive function in middle-aged and older men: a community-based cohort study. J Clin Sleep Med 2022; 18:1593-1608. [PMID: 35171095 DOI: 10.5664/jcsm.9934] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES Sleep microarchitecture parameters determined by quantitative power spectral analysis (PSA) of electroencephalograms (EEGs) have been proposed as potential brain-specific markers of cognitive dysfunction. However, data from community samples remains limited. This study examined cross-sectional associations between sleep microarchitecture and cognitive dysfunction in community-dwelling men. METHODS Florey Adelaide Male Ageing Study participants (n=477) underwent home-based polysomnography (PSG) (2010-2011). All-night EEG recordings were processed using PSA following artefact exclusion. Cognitive testing (2007-2010) included the inspection time task, trail-making tests A (TMT-A) and B (TMT-B), and Fuld object memory evaluation. Complete case cognition, PSG, and covariate data were available in 366 men. Multivariable linear regression models controlling for demographic, biomedical, and behavioral confounders determined cross-sectional associations between sleep microarchitecture and cognitive dysfunction overall and by age-stratified subgroups. RESULTS In the overall sample, worse TMT-A performance was associated with higher NREM theta and REM theta and alpha but lower delta power (all p<0.05). In men ≥65 years, worse TMT-A performance was associated with lower NREM delta but higher NREM and REM theta and alpha power (all p<0.05). Furthermore, in men ≥65 years, worse TMT-B performance was associated with lower REM delta but higher theta and alpha power (all p<0.05). CONCLUSIONS Sleep microarchitecture parameters may represent important brain-specific markers of cognitive dysfunction, particularly in older community-dwelling men. Therefore, this study extends the emerging community-based cohort literature on a potentially important link between sleep microarchitecture and cognitive dysfunction. Utility of sleep microarchitecture for predicting prospective cognitive dysfunction and decline warrants further investigation.
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Affiliation(s)
- Jesse L Parker
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Sarah L Appleton
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Yohannes Adama Melaku
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Angela L D'Rozario
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia.,The University of Sydney, Faculty of Science, School of Psychology, Sydney, New South Wales, Australia
| | - Gary A Wittert
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Sean A Martin
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,Freemasons Centre for Male Health and Wellbeing, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Barbara Toson
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Peter G Catcheside
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Bastien Lechat
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Alison J Teare
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Robert J Adams
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,Respiratory and Sleep Services, Southern Adelaide Local Health Network, Bedford Park, Adelaide, South Australia, Australia
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.,CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia
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Covering the Gap Between Sleep and Cognition – Mechanisms and Clinical Examples. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1384:17-29. [PMID: 36217076 DOI: 10.1007/978-3-031-06413-5_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
A growing number of studies have shown the strong relationship between sleep and different cognitive processes, especially those that involve memory consolidation. Traditionally, these processes were attributed to mechanisms related to the macroarchitecture of sleep, as sleep cycles or the duration of specific stages, such as the REM stage. More recently, the relationship between different cognitive traits and specific waves (sleep spindles or slow oscillations) has been studied. We here present the most important physiological processes induced by sleep, with particular focus on brain electrophysiology. In addition, recent and classical literature were reviewed to cover the gap between sleep and cognition, while illustrating this relationship by means of clinical examples. Finally, we propose that future studies may focus not only on analyzing specific waves, but also on the relationship between their characteristics as potential biomarkers for multiple diseases.
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Haimov I, Magzal F, Tamir S, Lalzar M, Asraf K, Milman U, Agmon M, Shochat T. Variation in Gut Microbiota Composition is Associated with Sleep Quality and Cognitive Performance in Older Adults with Insomnia. Nat Sci Sleep 2022; 14:1753-1767. [PMID: 36225322 PMCID: PMC9550024 DOI: 10.2147/nss.s377114] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 08/30/2022] [Indexed: 11/05/2022] Open
Abstract
PURPOSE Insomnia, a chronic condition affecting 50% of older adults, is often accompanied by cognitive decline. The mechanism underlying this comorbidity is not fully understood. A growing literature suggests the importance of gut microbiota for brain function. We tested associations between sleep quality and cognitive performance with gut microbiota in older adults with insomnia. PATIENTS AND METHODS Seventy-two older adults with insomnia (age 73.2 ± 5.73 years, 56 females) provided stool samples for gut microbial sequencing. Microbiota profile was determined using the DADA2 bioinformatics pipeline. Cognition was assessed with the Cambridge Neuropsychological Test Automated Battery. Objective sleep quality was monitored by a two-week actigraphic recording, and participants completed the Insomnia Severity Index (ISI). We used partial canonical correspondence analysis (pCCA) to examine the relative contribution of insomnia, based on actigraphic sleep efficiency (SE) and ISI, and of cognitive status, based on the Multitasking test of Median Reaction Latency (MTTLMD) and the Spatial Working Memory Between Errors (SWMBE), to variance in microbiota composition. We used Pearson correlations to correlate insomnia and cognitive status parameters with microbiota amplicon sequence variants, genera, and families. RESULTS The pCCA revealed that sleep quality and cognitive performance explained a variation of 7.5-7.9% in gut microbiota composition in older adults with insomnia. Correlation analysis demonstrated that Lachnoclostridium (genus) correlates positively with SE (r=0.42; P=0.05) and negatively with MTTLMD (r=-0.29; P=0.03), whereas Blautia (genus) correlates negatively with MTTLMD (r=-0.31; P=0.01). CONCLUSION Findings demonstrate the associations of sleep quality and cognitive performance with variance in gut microbiota composition and with specific genus abundance in older adults with insomnia. Further studies should validate the findings, determine causal relationships, and evaluate potential interventions for the comorbidity of insomnia and cognitive impairment in older adults with insomnia.
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Affiliation(s)
- Iris Haimov
- Department of Psychology and the Center for Psychobiological Research, The Max Stern Yezreel Valley College, Yezreel Valley, Israel
| | - Faiga Magzal
- Laboratory of Human Health and Nutrition Sciences, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel.,Nutritional Science Department, Tel Hai College, Kiryat Shmona, Israel
| | - Snait Tamir
- Laboratory of Human Health and Nutrition Sciences, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel.,Nutritional Science Department, Tel Hai College, Kiryat Shmona, Israel
| | - Maya Lalzar
- Bioinformatics Service Unit, University of Haifa, Haifa, Israel
| | - Kfir Asraf
- Department of Psychology and the Center for Psychobiological Research, The Max Stern Yezreel Valley College, Yezreel Valley, Israel
| | - Uzi Milman
- Clinical Research Unit, Clalit Health Services, Haifa, Israel
| | - Maayan Agmon
- The Cheryl Spencer Department of Nursing, University of Haifa, Haifa, Israel
| | - Tamar Shochat
- The Cheryl Spencer Department of Nursing, University of Haifa, Haifa, Israel
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29
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Conte F, De Rosa O, Albinni B, Mango D, Coppola A, Malloggi S, Giangrande D, Giganti F, Barbato G, Ficca G. Learning Monologues at Bedtime Improves Sleep Quality in Actors and Non-Actors. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 19:11. [PMID: 35010270 PMCID: PMC8750122 DOI: 10.3390/ijerph19010011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/11/2021] [Accepted: 12/17/2021] [Indexed: 06/14/2023]
Abstract
Several studies show that pre-sleep learning determines changes in subsequent sleep, including improvements of sleep quality. Our aims were to confirm this finding using a more ecological task (learning a theatrical monologue) and to investigate whether the effect is modulated by expertise. Using a mixed design, we compared polysomnographic recordings of baseline sleep (BL, 9-h TIB) to those of post-training sleep (TR, with the same TIB but preceded by the training session), in one group of actors (N = 11) and one of non-actors (N = 11). In both groups, TR appears reorganized and re-compacted by the learning session, as shown, among others, by a significant decrease of WASO%, awakenings, arousals, and state transitions and by a trend towards an increased number of complete cycles and total cycle time. Concerning memory performance, the number of synonyms produced was significantly higher in the morning relative to immediate recall. No between-groups differences emerged either for sleep or memory variables. Our data confirm pre-sleep learning's beneficial effect on sleep quality in an ecological context. While expertise appears not to influence memory-related sleep mechanisms, results on morning recall support the recent view that sleep's role in memory processes consists in trace "transformation" for adaptive purposes, rather than rote consolidation.
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Affiliation(s)
- Francesca Conte
- Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico 31, 81100 Caserta, Italy; (O.D.R.); (B.A.); (D.M.); (A.C.); (D.G.); (G.B.); (G.F.)
| | - Oreste De Rosa
- Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico 31, 81100 Caserta, Italy; (O.D.R.); (B.A.); (D.M.); (A.C.); (D.G.); (G.B.); (G.F.)
| | - Benedetta Albinni
- Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico 31, 81100 Caserta, Italy; (O.D.R.); (B.A.); (D.M.); (A.C.); (D.G.); (G.B.); (G.F.)
| | - Daniele Mango
- Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico 31, 81100 Caserta, Italy; (O.D.R.); (B.A.); (D.M.); (A.C.); (D.G.); (G.B.); (G.F.)
| | - Alessia Coppola
- Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico 31, 81100 Caserta, Italy; (O.D.R.); (B.A.); (D.M.); (A.C.); (D.G.); (G.B.); (G.F.)
| | - Serena Malloggi
- Department Neurofarba, University of Firenze, Via di San Salvi 12, 50135 Firenze, Italy; (S.M.); (F.G.)
| | - Davide Giangrande
- Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico 31, 81100 Caserta, Italy; (O.D.R.); (B.A.); (D.M.); (A.C.); (D.G.); (G.B.); (G.F.)
| | - Fiorenza Giganti
- Department Neurofarba, University of Firenze, Via di San Salvi 12, 50135 Firenze, Italy; (S.M.); (F.G.)
| | - Giuseppe Barbato
- Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico 31, 81100 Caserta, Italy; (O.D.R.); (B.A.); (D.M.); (A.C.); (D.G.); (G.B.); (G.F.)
| | - Gianluca Ficca
- Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico 31, 81100 Caserta, Italy; (O.D.R.); (B.A.); (D.M.); (A.C.); (D.G.); (G.B.); (G.F.)
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Bartsch U, Corbin LJ, Hellmich C, Taylor M, Easey KE, Durant C, Marston HM, Timpson NJ, Jones MW. Schizophrenia-associated variation at ZNF804A correlates with altered experience-dependent dynamics of sleep slow waves and spindles in healthy young adults. Sleep 2021; 44:zsab191. [PMID: 34329479 PMCID: PMC8664578 DOI: 10.1093/sleep/zsab191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 07/06/2021] [Indexed: 12/12/2022] Open
Abstract
The rs1344706 polymorphism in ZNF804A is robustly associated with schizophrenia and schizophrenia is, in turn, associated with abnormal non-rapid eye movement (NREM) sleep neurophysiology. To examine whether rs1344706 is associated with intermediate neurophysiological traits in the absence of disease, we assessed the relationship between genotype, sleep neurophysiology, and sleep-dependent memory consolidation in healthy participants. We recruited healthy adult males with no history of psychiatric disorder from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort. Participants were homozygous for either the schizophrenia-associated 'A' allele (N = 22) or the alternative 'C' allele (N = 18) at rs1344706. Actigraphy, polysomnography (PSG) and a motor sequence task (MST) were used to characterize daily activity patterns, sleep neurophysiology and sleep-dependent memory consolidation. Average MST learning and sleep-dependent performance improvements were similar across genotype groups, albeit more variable in the AA group. During sleep after learning, CC participants showed increased slow-wave (SW) and spindle amplitudes, plus augmented coupling of SW activity across recording electrodes. SW and spindles in those with the AA genotype were insensitive to learning, whilst SW coherence decreased following MST training. Accordingly, NREM neurophysiology robustly predicted the degree of overnight motor memory consolidation in CC carriers, but not in AA carriers. We describe evidence that rs1344706 polymorphism in ZNF804A is associated with changes in the coordinated neural network activity that supports offline information processing during sleep in a healthy population. These findings highlight the utility of sleep neurophysiology in mapping the impacts of schizophrenia-associated common genetic variants on neural circuit oscillations and function.
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Affiliation(s)
- Ullrich Bartsch
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK
- Translational Neuroscience, Eli Lilly & Co Ltd UK, Erl Wood Manor, Windlesham, UK
- UK DRI Health Care & Technology at Imperial College London and the University of Surrey, Surrey Sleep Research Centre, University of Surrey, Clinical Research Building, Egerton Road, Guildford, Surrey, UK
| | - Laura J Corbin
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Charlotte Hellmich
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK
| | - Michelle Taylor
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
| | - Kayleigh E Easey
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- UK Centre for Tobacco and Alcohol Studies, School of Psychological Science, University of Bristol, Bristol, UK
| | - Claire Durant
- Clinical Research and Imaging Centre (CRIC), University of Bristol, Bristol, UK
| | - Hugh M Marston
- Translational Neuroscience, Eli Lilly & Co Ltd UK, Erl Wood Manor, Windlesham, UK
- Böhringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew W Jones
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, UK
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Rakowska M, Abdellahi MEA, Bagrowska P, Navarrete M, Lewis PA. Long term effects of cueing procedural memory reactivation during NREM sleep. Neuroimage 2021; 244:118573. [PMID: 34537384 PMCID: PMC8591408 DOI: 10.1016/j.neuroimage.2021.118573] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 09/02/2021] [Accepted: 09/07/2021] [Indexed: 11/17/2022] Open
Abstract
A single night of TMR benefits procedural memories up to 10 days later. Spindle density and SO-spindle coupling strength increase immediately upon cue onset. Time spent in N2 but not N3 predicts cueing benefit.
Targeted memory reactivation (TMR) has recently emerged as a promising tool to manipulate and study the sleeping brain. Although the technique is developing rapidly, only a few studies have examined how the effects of TMR develop over time. Here, we use a bimanual serial reaction time task (SRTT) to investigate whether the difference between the cued and un-cued sequence of button presses persists long-term. We further explore the relationship between the TMR benefit and sleep spindles, as well as their coupling with slow oscillations. Our behavioural analysis shows better performance for the dominant hand. Importantly, there was a strong effect of TMR, with improved performance on the cued sequence after sleep. Closer examination revealed a significant benefit of TMR at 10 days post-encoding, but not 24 h or 6 weeks post-encoding. Time spent in stage 2, but not stage 3, of NREM sleep predicted cueing benefit. We also found a significant increase in spindle density and SO-spindle coupling during the cue period, when compared to the no-cue period. Together, our results demonstrate that TMR effects evolve over several weeks post-cueing, as well as emphasising the importance of stage 2, spindles and the SO-spindle coupling in procedural memory consolidation.
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Affiliation(s)
- Martyna Rakowska
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Rd, Cardiff CF24 4HQ, UK.
| | - Mahmoud E A Abdellahi
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Rd, Cardiff CF24 4HQ, UK
| | - Paulina Bagrowska
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Rd, Cardiff CF24 4HQ, UK
| | - Miguel Navarrete
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Rd, Cardiff CF24 4HQ, UK
| | - Penelope A Lewis
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Rd, Cardiff CF24 4HQ, UK
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Miles KH, Clark B, Fowler PM, Gratwicke MJ, Martin K, Welvaert M, Miller J, Pumpa KL. ɑ-Lactalbumin Improves Sleep and Recovery after Simulated Evening Competition in Female Athletes. Med Sci Sports Exerc 2021; 53:2618-2627. [PMID: 34649262 DOI: 10.1249/mss.0000000000002743] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE This study aimed to determine the efficacy of α-lactalbumin (A-LAC) supplementation for improving sleep and performance recovery after simulated evening competition in female athletes. METHODS Sixteen trained women (mean ± SD: age, 27 ± 7 yr; mass, 62 ± 10 kg; stature, 167 ± 8 cm) participated in this randomized double-blind three-arm crossover study. Participants completed a simulated evening competition before consuming either an A-LAC whey protein, whey protein placebo (PLA), or water control (CON) beverage. Sleep was monitored via polysomnography, and participants completed a series of physical, cognitive, and perceptual assessments before, and 14 and 24 h after simulated competition. RESULTS Non-rapid eye movement stage 2 sleep increased after competition in A-LAC (pre, 199 ± 44 min; post, 212 ± 37 min) but decreased in CON (pre, 228 ± 43 min; post, 195 ± 40 min) and PLA (pre, 224 ± 25 min; post, 211 ± 35 min; P = 0.012). In addition, Yo-Yo Intermittent Recovery Test Level 1 distance improved over time in A-LAC (baseline, 664 ± 332 m; 14 h post, 667 ± 326 m; 24 h post, 781 ± 427 m) compared with CON (baseline, 741 ± 366 m; 14 h post, 648 ± 351 m; 24 h post, 720 ± 407 m) and PLA (baseline, 763 ± 394 m; 14 h post, 636 ± 366 m; 24 h post, 720 ± 396 m; P < 0.001). CONCLUSIONS The findings indicate that A-LAC supplementation may be useful for retaining some sleep characteristics after evening competition, leading to improved physical performance in female athletes.
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Affiliation(s)
| | - Brad Clark
- Research Institute for Sport and Exercise, University of Canberra, Canberra, AUSTRALIA
| | - Peter M Fowler
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, AUSTRALIA
| | - Madeleine J Gratwicke
- Research Institute for Sport and Exercise, University of Canberra, Canberra, AUSTRALIA
| | | | - Marijke Welvaert
- Research Institute for Sport and Exercise, University of Canberra, Canberra, AUSTRALIA
| | - Joanna Miller
- AIS Operations, Australian Institute of Sport, Bruce, Canberra, AUSTRALIA
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Koller DP, Kasanin V, Flynn-Evans EE, Sullivan JP, Dijk DJ, Czeisler CA, Barger LK. Altered sleep spindles and slow waves during space shuttle missions. NPJ Microgravity 2021; 7:48. [PMID: 34795291 PMCID: PMC8602337 DOI: 10.1038/s41526-021-00177-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 10/07/2021] [Indexed: 11/09/2022] Open
Abstract
Sleep deficiencies and associated performance decrements are common among astronauts during spaceflight missions. Previously, sleep in space was analyzed with a focus on global measures while the intricate structure of sleep oscillations remains largely unexplored. This study extends previous findings by analyzing how spaceflight affects characteristics of sleep spindles and slow waves, two sleep oscillations associated with sleep quality and quantity, in four astronauts before, during and after two Space Shuttle missions. Analysis of these oscillations revealed significantly increased fast spindle density, elevated slow spindle frequency, and decreased slow wave amplitude in space compared to on Earth. These results reflect sleep characteristics during spaceflight on a finer electrophysiological scale and provide an opportunity for further research on sleep in space.
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Affiliation(s)
- Dominik P Koller
- Advanced Concepts Team, European Space Agency, ESTEC, Noordwijk, The Netherlands.
| | - Vida Kasanin
- Advanced Concepts Team, European Space Agency, ESTEC, Noordwijk, The Netherlands
| | - Erin E Flynn-Evans
- Fatigue Countermeasures Laboratory, Human Systems Integration Division, Exploration Technology Directorate, NASA Ames Research Center, Moffett Field, CA, USA
| | - Jason P Sullivan
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Derk-Jan Dijk
- Surrey Sleep Research Centre, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
- UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, Guildford, UK
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Laura K Barger
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
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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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35
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Bernardi G, Avvenuti G, Cataldi J, Lattanzi S, Ricciardi E, Polonara G, Silvestrini M, Siclari F, Fabri M, Bellesi M. Role of corpus callosum in sleep spindle synchronization and coupling with slow waves. Brain Commun 2021; 3:fcab108. [PMID: 34164621 PMCID: PMC8215432 DOI: 10.1093/braincomms/fcab108] [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: 01/20/2021] [Revised: 04/14/2021] [Accepted: 04/19/2021] [Indexed: 12/25/2022] Open
Abstract
Sleep spindles of non-REM sleep are transient, waxing-and-waning 10–16 Hz EEG oscillations, whose cortical synchronization depends on the engagement of thalamo-cortical loops. However, previous studies in animal models lacking the corpus callosum due to agenesis or total callosotomy and in humans with agenesis of the corpus callosum suggested that cortico-cortical connections may also have a relevant role in cortical (inter-hemispheric) spindle synchronization. Yet, most of these works did not provide direct quantitative analyses to support their observations. By studying a rare sample of callosotomized, split-brain patients, we recently demonstrated that the total resection of the corpus callosum is associated with a significant reduction in the inter-hemispheric propagation of non-REM slow waves. Interestingly, sleep spindles are often temporally and spatially grouped around slow waves (0.5–4 Hz), and this coordination is thought to have an important role in sleep-dependent learning and memory consolidation. Given these premises, here we set out to investigate whether total callosotomy may affect the generation and spreading of sleep spindles, as well as their coupling with sleep slow waves. To this aim, we analysed overnight high-density EEG recordings (256 electrodes) collected in five patients who underwent total callosotomy due to drug-resistant epilepsy (age 40–53, two females), three non-callosotomized neurological patients (age 44–66, two females), and in a sample of 24 healthy adult control subjects (age 20–47, 13 females). Individual sleep spindles were automatically detected using a validated algorithm and their properties and topographic distributions were computed. All analyses were performed with and without a regression-based adjustment accounting for inter-subject age differences. The comparison between callosotomized patients and healthy subjects did not reveal systematic variations in spindle density, amplitude or frequency. However, callosotomized patients were characterized by a reduced spindle duration, which could represent the result of a faster desynchronization of spindle activity across cortical areas of the two hemispheres. In contrast with our previous findings regarding sleep slow waves, we failed to detect in callosotomized patients any clear, systematic change in the inter-hemispheric synchronization of sleep spindles. In line with this, callosotomized patients were characterized by a reduced extension of the spatial association between temporally coupled spindles and slow waves. Our findings are consistent with a dependence of spindles on thalamo-cortical rather than cortico-cortical connections in humans, but also revealed that, despite their temporal association, slow waves and spindles are independently regulated in terms of topographic expression.
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Affiliation(s)
- Giulio Bernardi
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giulia Avvenuti
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Jacinthe Cataldi
- Center for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne 1011, Switzerland
| | - Simona Lattanzi
- Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona 60126, Italy
| | - Emiliano Ricciardi
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Gabriele Polonara
- Department of Odontostomatologic and Specialized Clinical Sciences, Marche Polytechnic University, Ancona 60126, Italy
| | - Mauro Silvestrini
- Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona 60126, Italy
| | - Francesca Siclari
- Center for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne 1011, Switzerland
| | - Mara Fabri
- Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona 60126, Italy
| | - Michele Bellesi
- School of Bioscience and Veterinary Medicine, University of Camerino, Camerino 62032, Italy
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Picard-Deland C, Nielsen T. Targeted memory reactivation has a sleep stage-specific delayed effect on dream content. J Sleep Res 2021; 31:e13391. [PMID: 34018262 DOI: 10.1111/jsr.13391] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 04/13/2021] [Accepted: 04/29/2021] [Indexed: 12/29/2022]
Abstract
Although new learning is known to reappear in later dream scenarios, the timing of such reappearances remains unclear. Sometimes, references to new learning occur relatively quickly, 1 day post-learning (day-residue effect); at other times there may be a substantive delay, 5-7 days, before such references appear (dream-lag effect). We studied temporal delays in dream reactivation following the learning of a virtual reality (VR) flying task using 10-day home sleep/dream logs, and how these might be influenced by targeted memory reactivation (TMR). Participants were exposed twice to a VR task in the sleep laboratory; once before and once after a 2-hr opportunity to nap (n = 65) or to read (n = 32). Auditory cues associated with the VR task were replayed in either wake, rapid eye movement (REM) sleep, slow-wave sleep (SWS) or were not replayed. Although we previously showed that TMR cueing did not have an immediate effect on dream content, in the present study we extend these results by showing that TMR in sleep has instead a delayed effect on task-dream reactivations: participants dreamed more about the task 1-2 days later when TMR was applied in REM sleep and 5-6 days later when it was applied in SWS sleep, compared to participants with no cueing. Findings may help explain the temporal relationships between dream and memory reactivations and clarify the occurrence of day-residue and dream-lag phenomena.
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Affiliation(s)
- Claudia Picard-Deland
- Dream and Nightmare Laboratory, Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Montréal, QC, Canada.,Department of Neuroscience, Université de Montréal, Montréal, QC, Canada
| | - Tore Nielsen
- Dream and Nightmare Laboratory, Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Montréal, QC, Canada.,Department of Psychiatry and Addictology, Université de Montréal, Montréal, QC, Canada
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Picard-Deland C, Aumont T, Samson-Richer A, Paquette T, Nielsen T. Whole-body procedural learning benefits from targeted memory reactivation in REM sleep and task-related dreaming. Neurobiol Learn Mem 2021; 183:107460. [PMID: 34015442 DOI: 10.1016/j.nlm.2021.107460] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 04/20/2021] [Accepted: 05/12/2021] [Indexed: 10/21/2022]
Abstract
Sleep facilitates memory consolidation through offline reactivations of memory traces. Dreaming may play a role in memory improvement and may reflect these memory reactivations. To experimentally address this question, we used targeted memory reactivation (TMR), i.e., application, during sleep, of a stimulus that was previously associated with learning, to assess whether it influences task-related dream imagery (or task-dream reactivations). Specifically, we asked if TMR or task-dream reactivations in either slow-wave (SWS) or rapid eye movement (REM) sleep benefit whole-body procedural learning. Healthy participants completed a virtual reality (VR) flying task prior to and following a morning nap or rest period during which task-associated tones were readministered in either SWS, REM sleep, wake or not at all. Findings indicate that learning benefits most from TMR when applied in REM sleep compared to a Control-sleep group. REM dreams that reactivated kinesthetic elements of the VR task (e.g., flying, accelerating) were also associated with higher improvement on the task than were dreams that reactivated visual elements (e.g., landscapes) or that had no reactivations. TMR did not itself influence dream content but its effects on performance were greater when coexisting with task-dream reactivations in REM sleep. Findings may help explain the mechanistic relationships between dream and memory reactivations and may contribute to the development of sleep-based methods to optimize complex skill learning.
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Affiliation(s)
- Claudia Picard-Deland
- Dream & Nightmare Laboratory, Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Québec, Canada; Department of Neuroscience, Université de Montréal, Montréal, Québec, Canada
| | - Tomy Aumont
- Dream & Nightmare Laboratory, Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Québec, Canada; Department of Biomedical Sciences, Université de Montréal, Montréal, Québec, Canada
| | - Arnaud Samson-Richer
- Dream & Nightmare Laboratory, Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Québec, Canada
| | - Tyna Paquette
- Dream & Nightmare Laboratory, Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Québec, Canada
| | - Tore Nielsen
- Dream & Nightmare Laboratory, Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Québec, Canada; Department of Psychiatry and Addictology, Université de Montréal, Montréal, Québec, Canada.
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Mograss M, Crosetta M, Abi-Jaoude J, Frolova E, Robertson EM, Pepin V, Dang-Vu TT. Exercising before a nap benefits memory better than napping or exercising alone. Sleep 2021; 43:5814272. [PMID: 32236442 DOI: 10.1093/sleep/zsaa062] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 03/03/2020] [Indexed: 11/14/2022] Open
Abstract
Sleep leads to the enhancement of memory, and physical exercise also improves memory along with beneficial effects on sleep quality. Potentially, sleep and exercise may operate independently upon memory; alternatively, they may operate synergistically to boost memory above and beyond exercise or sleep alone. We tested this hypothesis in 115 young healthy adults (23 ± 3.9 years) randomly allocated to one of the four conditions in a 2 (exercise vs. no exercise) × 2 (nap vs. no nap) design. The exercise intervention consisted of a 40-minute, moderate intensity cycling, while the no exercise condition was an equivalent period of rest. This was followed by a learning session in which participants memorized a set of 45 neutral pictures for a later test. Subsequently, participants were exposed to either a 60-minute sleep period (nap) or an equivalent time of resting wakefulness, followed by a visual recognition test. We found a significant interaction between the effects of exercise and nap (p = 0.014, η p2 = 0.053), without significant main effects of exercise or nap conditions. Participants who experienced both exercise plus nap were significantly more accurate (83.8 ± 2.9) than those who only napped (81.1 ± 5.4, p = 0.027) and those who only exercised (78.6 ± 10.3, p = 0.012). Within the combined nap plus exercise group, higher recognition accuracies were associated with higher sleep spindle densities (r = 0.46, p = 0.015). Our results demonstrate that short-term exercise and a nap improve recognition memory over a nap or exercise alone. Exercise and sleep are not independent factors operating separately upon memory but work together to enhance long-term memory.
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Affiliation(s)
- Melodee Mograss
- Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, QC, Canada.,Department of Psychology, Concordia University, Montreal, QC, Canada.,PERFORM Centre, Concordia University, Montreal, QC, Canada.,Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada
| | - Monica Crosetta
- Department of Psychology, Concordia University, Montreal, QC, Canada
| | - Joanne Abi-Jaoude
- Department of Psychology, Concordia University, Montreal, QC, Canada
| | - Elizaveta Frolova
- Department of Psychology, Concordia University, Montreal, QC, Canada.,Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada
| | - Edwin M Robertson
- Institute of Neuroscience & Psychology, University of Glasgow, Glasgow, UK
| | - Veronique Pepin
- Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, QC, Canada.,PERFORM Centre, Concordia University, Montreal, QC, Canada.,Centre de recherche, Hôpital du Sacré-Cœur de Montréal, Montréal, QC, Canada
| | - Thien Thanh Dang-Vu
- Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, QC, Canada.,PERFORM Centre, Concordia University, Montreal, QC, Canada.,Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada
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Luongo A, Lukowski A, Protho T, Van Vorce H, Pisani L, Edgin J. Sleep's role in memory consolidation: What can we learn from atypical development? ADVANCES IN CHILD DEVELOPMENT AND BEHAVIOR 2021; 60:229-260. [PMID: 33641795 DOI: 10.1016/bs.acdb.2020.08.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Research conducted over the last century has suggested a role for sleep in the processes guiding healthy cognition and development, including memory consolidation. Children with intellectual and developmental disabilities (IDDs) tend to have higher rates of sleep disturbances, which could relate to behavior issues, developmental delays, and learning difficulties. While several studies examine whether sleep exacerbates daytime difficulties and attention deficits in children with IDDs, this chapter focuses on the current state of knowledge regarding sleep and memory consolidation in typically developing (TD) groups and those at risk for learning difficulties. In particular, this chapter summarizes the current literature on sleep-dependent learning across developmental disabilities, including Down syndrome, Williams syndrome, Autism Spectrum Disorder, and Learning Disabilities (Attention-Deficit/Hyperactivity Disorder and Dyslexia). We also highlight the gaps in the current literature and identify challenges in studying sleep-dependent memory in children with different IDDs. This burgeoning new field highlights the importance of considering the role of sleep in memory retention across long delays when evaluating children's memory processes. Further, an understanding of typical and atypical development can mutually inform recent theories of sleep's role in memory.
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Affiliation(s)
- A Luongo
- Department of Psychology, University of Arizona, Tucson, AZ, Unites States
| | - A Lukowski
- Department of Psychological Sciences, University of California Irvine, Irvine, CA, United States
| | - T Protho
- Department of Psychology, University of Arizona, Tucson, AZ, Unites States
| | - H Van Vorce
- Department of Psychology, University of Arizona, Tucson, AZ, Unites States
| | - L Pisani
- Department of Psychology, University of Arizona, Tucson, AZ, Unites States
| | - J Edgin
- Department of Psychology, University of Arizona, Tucson, AZ, Unites States; University of Arizona Sonoran UCEDD, Tucson, AZ, United States.
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MacDonald KJ, Cote KA. Contributions of post-learning REM and NREM sleep to memory retrieval. Sleep Med Rev 2021; 59:101453. [PMID: 33588273 DOI: 10.1016/j.smrv.2021.101453] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 12/10/2020] [Accepted: 12/23/2020] [Indexed: 02/06/2023]
Abstract
It has become clear that sleep after learning has beneficial effects on the later retrieval of newly acquired memories. The neural mechanisms underlying these effects are becoming increasingly clear as well, particularly those of non-REM sleep. However, much is still unknown about the sleep and memory relationship: the sleep state or features of sleep physiology that associate with memory performance often vary by task or experimental design, and the nature of this variability is not entirely clear. This paper describes pertinent features of sleep physiology and provides a detailed review of the scientific literature indicating beneficial effects of post-learning sleep on memory retrieval. This paper additionally introduces a hypothesis which attributes these beneficial effects of post-learning sleep to separable processes of memory reinforcement and memory refinement whereby reinforcement supports one's ability to retrieve a given memory and refinement supports the precision of that memory retrieval in the context of competitive alternatives. It is observed that features of non-REM sleep are involved in a post-learning substantiation of memory representations that benefit memory performance; thus, memory reinforcement is primarily attributed to non-REM sleep. Memory refinement is primarily attributed to REM sleep given evidence of bidirectional synaptic plasticity in REM sleep and findings from studies of selective REM sleep deprivation.
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41
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Focal Sleep Spindle Deficits Reveal Focal Thalamocortical Dysfunction and Predict Cognitive Deficits in Sleep Activated Developmental Epilepsy. J Neurosci 2021; 41:1816-1829. [PMID: 33468567 DOI: 10.1523/jneurosci.2009-20.2020] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 10/16/2020] [Accepted: 11/16/2020] [Indexed: 01/08/2023] Open
Abstract
Childhood epilepsy with centrotemporal spikes (CECTS) is the most common focal epilepsy syndrome, yet the cause of this disease remains unknown. Now recognized as a mild epileptic encephalopathy, children exhibit sleep-activated focal epileptiform discharges and cognitive difficulties during the active phase of the disease. The association between the abnormal electrophysiology and sleep suggests disruption to thalamocortical circuits. Thalamocortical circuit dysfunction resulting in pathologic epileptiform activity could hinder the production of sleep spindles, a brain rhythm essential for memory processes. Despite this pathophysiologic connection, the relationship between spindles and cognitive symptoms in epileptic encephalopathies has not been previously evaluated. A significant challenge limiting such work has been the poor performance of available automated spindle detection methods in the setting of sharp activities, such as epileptic spikes. Here, we validate a robust new method to accurately measure sleep spindles in patients with epilepsy. We then apply this detector to a prospective cohort of male and female children with CECTS with combined high-density EEGs during sleep and cognitive testing at varying time points of disease. We show that: (1) children have a transient, focal deficit in spindles during the symptomatic phase of disease; (2) spindle rate anticorrelates with spike rate; and (3) spindle rate, but not spike rate, predicts performance on cognitive tasks. These findings demonstrate focal thalamocortical circuit dysfunction and provide a pathophysiological explanation for the shared seizures and cognitive symptoms in CECTS. Further, this work identifies sleep spindles as a potential treatment target of cognitive dysfunction in this common epileptic encephalopathy.SIGNIFICANCE STATEMENT Childhood epilepsy with centrotemporal spikes is the most common idiopathic focal epilepsy syndrome, characterized by self-limited focal seizures and cognitive symptoms. Here, we provide the first evidence that focal thalamocortical circuit dysfunction underlies the shared seizures and cognitive dysfunction observed. In doing so, we identify sleep spindles as a mechanistic biomarker, and potential treatment target, of cognitive dysfunction in this common developmental epilepsy and provide a novel method to reliably quantify spindles in brain recordings from patients with epilepsy.
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Chatburn A, Lushington K, Kohler MJ. Consolidation and generalisation across sleep depend on individual EEG factors and sleep spindle density. Neurobiol Learn Mem 2021; 179:107384. [PMID: 33460790 DOI: 10.1016/j.nlm.2021.107384] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 12/15/2020] [Accepted: 01/10/2021] [Indexed: 11/25/2022]
Abstract
Sleep is involved in both the consolidation of discrete episodes, as well as the generalisation of acquired memories into schemata. Here, we have isolated early versus late periods of sleep in order to replicate previous behavioural findings and to demonstrate: i) that distinct sleep and sleep electroencephalography (EEG) factors influence the generalisation of learned information, and; ii) that the consolidation and generalisation of memory across sleep depends on individual alpha frequency (IAF) and strength of initial encoding. Subjects underwent a night-half protocol with polysomnography (PSG), and completed a Chinese character-English paired associates learning task. Recognition accuracy of learned word-pairs, the extent to which the subject was able to generalise this knowledge, and the extent of explicit transfer of knowledge were measured. Results demonstrate that quality of initial learning determined the relationship between sleep neurophysiology and outcome, with IAF modulating this effect. We also note an effect of IAF in modulating the effect of sleep spindles in determining generalisation of learned materials. Finally, we note a complex relationship between initial learning, IAF and sleep spindle density in determining when information will reach explicit awareness across sleep. Together, these data implicate encoding factors in subsequent offline processing, demonstrate a potential role for individual differences in the EEG and subsequently add to our understanding of the the conditions in which sleep may benefit both memory and learning.
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Affiliation(s)
- Alex Chatburn
- Cognitive and Systems Neuroscience Research Hub, University of South Australia, Adelaide, Australia; Sleep and Chronobiology Laboratory, University of South Australia, Adelaide, Australia.
| | - Kurt Lushington
- Sleep and Chronobiology Laboratory, University of South Australia, Adelaide, Australia
| | - Mark J Kohler
- Cognitive and Systems Neuroscience Research Hub, University of South Australia, Adelaide, Australia; School of Psychology, Adelaide University, Adelaide, South Australia, Australia
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Abstract
Adequate sleep is essential for healthy development in childhood and adolescence. Healthy sleep contributes to good physical health, immune function, mental health, and academic performance. The regulation and architecture of sleep change greatly across childhood and adolescence, and the ability to obtain sufficient sleep is impacted by a range of factors that change with maturation. This article describes normal sleep across childhood and adolescence and discusses some of the most common barriers to adequate sleep, including early school start times, technology use, and changes to circadian rhythms, and sleep homeostasis across puberty.
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Affiliation(s)
- Alex Agostini
- Sleep and Chronobiology Laboratory, University of South Australia, Adelaide, Australia.
| | - Stephanie Centofanti
- UniSA Online, University of South Australia, University of South Australia Online, L4, Catherine Helen Spence Building, City West Campus, Adelaide, South Australia 5000, Australia
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Thompson K, Gibbings A, Shaw J, Ray L, Hébert G, De Koninck J, Fogel S. Sleep and Second-Language Acquisition Revisited: The Role of Sleep Spindles and Rapid Eye Movements. Nat Sci Sleep 2021; 13:1887-1902. [PMID: 34703346 PMCID: PMC8536881 DOI: 10.2147/nss.s326151] [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: 06/24/2021] [Accepted: 09/01/2021] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Second-language learning (SLL) depends on distinct functional-neuroanatomical systems including procedural and declarative long-term memory. Characteristic features of rapid eye movement (REM) and non-REM sleep such as rapid eye movements and sleep spindles are electrophysiological markers of cognitively complex procedural and declarative memory consolidation, respectively. In adults, grammatical learning depends at first on declarative memory ("early SLL") then shifts to procedural memory with experience ("late SLL"). However, it is unknown if the shift from declarative to procedural memory in early vs late SLL is supported by sleep. Here, we hypothesized that increases in sleep spindle characteristics would be associated with early SLL, whereas increases in REM activity (eg, density and EEG theta-band activity time-locked to rapid eye movements) would be associated with late SLL. METHODS Eight Anglophone (English first language) participants completed four polysomnographic recordings throughout an intensive 6-week French immersion course. Sleep spindle data and electroencephalographic spectral power time-locked to rapid eye movements were extracted from parietal temporal electrodes. RESULTS As predicted, improvements in French proficiency were associated with changes in spindles during early SLL. Furthermore, we observed increased event-related theta power time-locked to rapid eye movements during late SLL compared with early SLL. The increases in theta power were significantly correlated with improvements in French proficiency. DISCUSSION This supports the notion that sleep spindles are involved in early SLL when grammar depends on declarative memory, whereas cortical theta activity time-locked to rapid eye movements is involved in late SLL when grammar depends on procedural memory.
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Affiliation(s)
| | - Aaron Gibbings
- School of Psychology, University of Ottawa, Ottawa, ON, Canada.,Sleep Unit, University of Ottawa Institute of Mental Health at the Royal, Ottawa, ON, Canada
| | - James Shaw
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Laura Ray
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Gilles Hébert
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Joseph De Koninck
- School of Psychology, University of Ottawa, Ottawa, ON, Canada.,University of Ottawa Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Stuart Fogel
- School of Psychology, University of Ottawa, Ottawa, ON, Canada.,Sleep Unit, University of Ottawa Institute of Mental Health at the Royal, Ottawa, ON, Canada.,University of Ottawa Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
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45
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Au CH, Harvey CJ. Systematic review: the relationship between sleep spindle activity with cognitive functions, positive and negative symptoms in psychosis. Sleep Med X 2020; 2:100025. [PMID: 33870177 PMCID: PMC8041130 DOI: 10.1016/j.sleepx.2020.100025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 08/07/2020] [Accepted: 08/19/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Sleep disturbances are associated with worse cognitive and psychotic symptoms in individuals with schizophrenia. Growing literature reveals sleep spindle deficits in schizophrenia may be an endophenotype reflecting a dysfunctional thalamo-thalamic reticular nucleus-cortical circuit. Since thalamic functions link to cognitive, positive and negative symptoms, it is possible that sleep spindle activity is associated with these symptoms. The primary objectives of this systematic review were to assess the associations of sleep spindle activity in psychotic patients with 1) cognitive functions; and 2) positive and negative symptom severity. A secondary objective was to examine which spindle parameter would be the most consistent parameter correlating with cognitive functions, and positive and negative symptoms. METHOD Observational studies reporting an association between sleep spindle activity and cognitive functions, positive and negative symptoms in patients with psychotic disorders were considered eligible. We developed a comprehensive electronic search strategy to identify peer-reviewed studies in Pubmed, Embase, PsycINFO and CINAHL covering all dates up to the search date in May 2020 with no language restriction. The references of published articles were hand-searched for additional materials. The authors of published articles were contacted for newer or unpublished data. Risk of bias was assessed by Appraisal of Cross-sectional Studies (AXIS). RESULTS A total 11 cross-sectional studies (n = 255) with low-to-moderate quality, were selected for the systematic review. 8 of them addressed the association between sleep spindle activity and cognitive functions (n = 193), of which 6 studies reported positive correlations (r only reported in 4 studies, from 0.45 to 0.75). Out of multiple cognitive domains, we have only found attention/cognitive processing speed to have a more consistent positive association with sleep spindle activity. On the other hand, 8 studies investigated the relationship between sleep spindle and positive/negative symptom severity (n = 190), but findings were inconsistent. Spindle density is the most consistent parameter correlating with cognitive functions, while the best spindle parameter for correlating with positive and negative symptom severity cannot be identified due to mixed results. DISCUSSION This systematic review confirms the linkage between sleep spindle activity and cognitive functions. However, included studies had small sample sizes, with high risks of sampling and response bias. Moreover, confounders were often not controlled. The heterogeneous report of spindle parameters and use of cognitive assessment tools rendered meta-analysis infeasible. It is necessary to examine the longitudinal change of sleep spindle activity with the course of illness, as well as the effect of sleep spindle enhancing agents on cognitive function.
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Sippel D, Schwabedal J, Snyder JC, Oyanedel CN, Bernas SN, Garthe A, Tröndle A, Storch A, Kempermann G, Brandt MD. Disruption of NREM sleep and sleep-related spatial memory consolidation in mice lacking adult hippocampal neurogenesis. Sci Rep 2020; 10:16467. [PMID: 33020501 PMCID: PMC7536189 DOI: 10.1038/s41598-020-72362-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 08/31/2020] [Indexed: 12/25/2022] Open
Abstract
Cellular plasticity at the structural level and sleep at the behavioural level are both essential for memory formation. The link between the two is not well understood. A functional connection between adult neurogenesis and hippocampus-dependent memory consolidation during NREM sleep has been hypothesized but not experimentally shown. Here, we present evidence that during a three-day learning session in the Morris water maze task a genetic knockout model of adult neurogenesis (Cyclin D2-/-) showed changes in sleep macro- and microstructure. Sleep EEG analyses revealed a lower total sleep time and NREM fraction in Cyclin D2-/- mice as well as an impairment of sleep specific neuronal oscillations that are associated with memory consolidation. Better performance in the memory task was associated with specific sleep parameters in wild-type, but not in Cyclin D2-/- mice. In wild-type animals the number of proliferating cells correlated with the amount of NREM sleep. The lack of adult neurogenesis led to changes in sleep architecture and oscillations that represent the dialog between hippocampus and neocortex during sleep. We suggest that adult neurogenesis-as a key event of hippocampal plasticity-might play an important role for sleep-dependent memory consolidation and modulates learning-induced changes of sleep macro- and microstructure.
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Affiliation(s)
- D Sippel
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72076, Tübingen, Germany.,Department of Psychiatry and Psychotherapy, University Hospital Tübingen, 72076, Tübingen, Germany
| | - J Schwabedal
- Max Planck Institute for the Physics of Complex Systems, 01187, Dresden, Germany
| | - J C Snyder
- Department of Neurology, University Hospital, Technische Universität Dresden, 01307, Dresden, Germany
| | - C N Oyanedel
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72076, Tübingen, Germany
| | - S N Bernas
- Center for Regenerative Therapies TU Dresden, 01307, Dresden, Germany
| | - A Garthe
- German Center for Neurodegenerative Diseases (DZNE) Dresden, 01307, Dresden, Germany
| | - A Tröndle
- Department of Neurology, University Hospital, Technische Universität Dresden, 01307, Dresden, Germany.,Center for Regenerative Therapies TU Dresden, 01307, Dresden, Germany
| | - A Storch
- German Center for Neurodegenerative Diseases (DZNE) Rostock, 18147, Rostock, Germany.,Department of Neurology, University of Rostock, 18147, Rostock, Germany
| | - G Kempermann
- German Center for Neurodegenerative Diseases (DZNE) Dresden, 01307, Dresden, Germany.,Center for Regenerative Therapies TU Dresden, 01307, Dresden, Germany
| | - M D Brandt
- Department of Neurology, University Hospital, Technische Universität Dresden, 01307, Dresden, Germany. .,German Center for Neurodegenerative Diseases (DZNE) Dresden, 01307, Dresden, Germany.
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Liang SF, Shih YH, Hu YH, Kuo CE. A Method for Napping Time Recommendation Using Electrical Brain Activity. IEEE Trans Cogn Dev Syst 2020. [DOI: 10.1109/tcds.2020.2991176] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Kamara D, Beauchaine TP. A Review of Sleep Disturbances among Infants and Children with Neurodevelopmental Disorders. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2020; 7:278-294. [PMID: 33344102 PMCID: PMC7747783 DOI: 10.1007/s40489-019-00193-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 12/04/2019] [Indexed: 02/06/2023]
Abstract
Sleep problems are common among children with neurodevelopmental disorders (NDDs). We review sleep disturbance in three major NDDs: autism spectrum disorder, Down syndrome, and fetal alcohol spectrum disorder (FASD). We review associations with functional impairment, discuss how patterns of sleep disturbance inform understanding of etiology, and theorize about mechanisms of impairment. Sleep disturbance is a transdiagnostic feature of NDDs. Caregivers report high rates of sleep problems, including difficulty falling or staying asleep. Polysomnography data reveal differences in sleep architecture and increased rates of sleep disorders. Sleep disturbance is associated with functional impairment and stress among families. Further research is needed to elucidate mechanisms of impairment and develop more effective interventions. Despite significant sleep disturbance in FASD, limited research is available.
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Affiliation(s)
- Dana Kamara
- The Ohio State University, Department of Psychology, 1835 Neil Ave., Columbus, OH 43210
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González OC, Sokolov Y, Krishnan GP, Delanois JE, Bazhenov M. Can sleep protect memories from catastrophic forgetting? eLife 2020; 9:e51005. [PMID: 32748786 PMCID: PMC7440920 DOI: 10.7554/elife.51005] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Accepted: 07/19/2020] [Indexed: 11/13/2022] Open
Abstract
Continual learning remains an unsolved problem in artificial neural networks. The brain has evolved mechanisms to prevent catastrophic forgetting of old knowledge during new training. Building upon data suggesting the importance of sleep in learning and memory, we tested a hypothesis that sleep protects old memories from being forgotten after new learning. In the thalamocortical model, training a new memory interfered with previously learned old memories leading to degradation and forgetting of the old memory traces. Simulating sleep after new learning reversed the damage and enhanced old and new memories. We found that when a new memory competed for previously allocated neuronal/synaptic resources, sleep replay changed the synaptic footprint of the old memory to allow overlapping neuronal populations to store multiple memories. Our study predicts that memory storage is dynamic, and sleep enables continual learning by combining consolidation of new memory traces with reconsolidation of old memory traces to minimize interference.
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Affiliation(s)
- Oscar C González
- Department of Medicine, University of California, San DiegoLa JollaUnited States
| | - Yury Sokolov
- Department of Medicine, University of California, San DiegoLa JollaUnited States
| | - Giri P Krishnan
- Department of Medicine, University of California, San DiegoLa JollaUnited States
| | - Jean Erik Delanois
- Department of Medicine, University of California, San DiegoLa JollaUnited States
- Department of Computer Science and Engineering, University of California, San DiegoLa JollaUnited States
| | - Maxim Bazhenov
- Department of Medicine, University of California, San DiegoLa JollaUnited States
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50
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Alwadei AH, AlOsaimi TF, Bayounis MA, AlHajaj GA, Bashiri FA. Predicting future handedness and hemispheric dominance during infancy by analyzing sleep spindles. NEUROSCIENCES (RIYADH, SAUDI ARABIA) 2020; 25:188-192. [PMID: 32683398 PMCID: PMC8015470 DOI: 10.17712/nsj.2020.3.20190129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Accepted: 02/29/2020] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To investigate whether sleep spindles asynchrony (SSA) using scalp sleep electroencephalogram (EEG) among children below 2 years of age can predict future handedness. METHODS This is a retrospective study conducted from October 2016 until June 2017 at the King Fahad Medical City (KFMC), Riyadh, Kingdom of Saudi Arabia. We retrospectively reviewed 300 EEGs recorded at our neurophysiology laboratory.We included EEGs performed during sleep for infants aged 2 months to 2 years who have already attained their handedness or those aged above 2 years. We excluded records of children younger than 2 months or above 2 years of age (at the time of the EEG) or those aged below 2 years (at the time of the interview), and severely abnormal tracings and those without sleep or enough SSA. RESULTS The lateralization of Sleep Spindles (SS) was mostly right-hemispheric (52%) compared to left-hemispheric (36.4%). The overall SS laterality did not correlate with handedness (p=0.81). In the majority of right-handed (64%) and left-handed (60%) children, the SSA was contralateral to the side of hand preference; however, it did not correlate statistically (p=0.377). CONCLUSION We were unable to prove a statistically significant correlation between SSA and future hand preference. Further research involving larger cohorts is still needed.
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Affiliation(s)
- Ali H. Alwadei
- From the Pediatric Neurology Department (Alwadei, AlOsaimi), National Neuroscience Institute, King Fahad Medical City, Department of Pediatrics (Bayounis), Al-Yamama Hospital, Division of Pediatric Neurology (Bashiri), Department of Pediatrics, College of Medicine, King Khalid University Hospital, King Saud University and from the Department of Pediatrics (AlHajaj), Unaizah College of Medicine and Medical Sciences, Qassim University, Unaizah, Qassim, Kingdom of Saudi Arabia
| | - Turki F. AlOsaimi
- From the Pediatric Neurology Department (Alwadei, AlOsaimi), National Neuroscience Institute, King Fahad Medical City, Department of Pediatrics (Bayounis), Al-Yamama Hospital, Division of Pediatric Neurology (Bashiri), Department of Pediatrics, College of Medicine, King Khalid University Hospital, King Saud University and from the Department of Pediatrics (AlHajaj), Unaizah College of Medicine and Medical Sciences, Qassim University, Unaizah, Qassim, Kingdom of Saudi Arabia
| | - Manar A. Bayounis
- From the Pediatric Neurology Department (Alwadei, AlOsaimi), National Neuroscience Institute, King Fahad Medical City, Department of Pediatrics (Bayounis), Al-Yamama Hospital, Division of Pediatric Neurology (Bashiri), Department of Pediatrics, College of Medicine, King Khalid University Hospital, King Saud University and from the Department of Pediatrics (AlHajaj), Unaizah College of Medicine and Medical Sciences, Qassim University, Unaizah, Qassim, Kingdom of Saudi Arabia
| | - Ghadd A AlHajaj
- From the Pediatric Neurology Department (Alwadei, AlOsaimi), National Neuroscience Institute, King Fahad Medical City, Department of Pediatrics (Bayounis), Al-Yamama Hospital, Division of Pediatric Neurology (Bashiri), Department of Pediatrics, College of Medicine, King Khalid University Hospital, King Saud University and from the Department of Pediatrics (AlHajaj), Unaizah College of Medicine and Medical Sciences, Qassim University, Unaizah, Qassim, Kingdom of Saudi Arabia
| | - Fahad A. Bashiri
- From the Pediatric Neurology Department (Alwadei, AlOsaimi), National Neuroscience Institute, King Fahad Medical City, Department of Pediatrics (Bayounis), Al-Yamama Hospital, Division of Pediatric Neurology (Bashiri), Department of Pediatrics, College of Medicine, King Khalid University Hospital, King Saud University and from the Department of Pediatrics (AlHajaj), Unaizah College of Medicine and Medical Sciences, Qassim University, Unaizah, Qassim, Kingdom of Saudi Arabia
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