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Marsh B, Navas-Zuloaga MG, Rosen BQ, Sokolov Y, Delanois JE, Gonzalez OC, Krishnan GP, Halgren E, Bazhenov M. Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain. PLoS Comput Biol 2024; 20:e1012245. [PMID: 39028760 PMCID: PMC11290683 DOI: 10.1371/journal.pcbi.1012245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 07/31/2024] [Accepted: 06/11/2024] [Indexed: 07/21/2024] Open
Abstract
Slow-wave sleep (SWS), characterized by slow oscillations (SOs, <1Hz) of alternating active and silent states in the thalamocortical network, is a primary brain state during Non-Rapid Eye Movement (NREM) sleep. In the last two decades, the traditional view of SWS as a global and uniform whole-brain state has been challenged by a growing body of evidence indicating that SO can be local and can coexist with wake-like activity. However, the mechanisms by which global and local SOs arise from micro-scale neuronal dynamics and network connectivity remain poorly understood. We developed a multi-scale, biophysically realistic human whole-brain thalamocortical network model capable of transitioning between the awake state and SWS, and we investigated the role of connectivity in the spatio-temporal dynamics of sleep SO. We found that the overall strength and a relative balance between long and short-range synaptic connections determined the network state. Importantly, for a range of synaptic strengths, the model demonstrated complex mixed SO states, where periods of synchronized global slow-wave activity were intermittent with the periods of asynchronous local slow-waves. An increase in the overall synaptic strength led to synchronized global SO, while a decrease in synaptic connectivity produced only local slow-waves that would not propagate beyond local areas. These results were compared to human data to validate probable models of biophysically realistic SO. The model producing mixed states provided the best match to the spatial coherence profile and the functional connectivity estimated from human subjects. These findings shed light on how the spatio-temporal properties of SO emerge from local and global cortical connectivity and provide a framework for further exploring the mechanisms and functions of SWS in health and disease.
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Affiliation(s)
- Brianna Marsh
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
- Neuroscience Graduate Program, University of California San Diego, La Jolla, California, United States of America
| | - M. Gabriela Navas-Zuloaga
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Burke Q. Rosen
- Neuroscience Graduate Program, University of California San Diego, La Jolla, California, United States of America
| | - Yury Sokolov
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Jean Erik Delanois
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, United States of America
| | - Oscar C. Gonzalez
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Giri P. Krishnan
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Eric Halgren
- Neuroscience Graduate Program, University of California San Diego, La Jolla, California, United States of America
- Departments of Radiology and Neuroscience, University of California San Diego, La Jolla, California, United States of America
| | - Maxim Bazhenov
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
- Neuroscience Graduate Program, University of California San Diego, La Jolla, California, United States of America
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2
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Olivera-López C, Jiménez-Genchi A, Ortega-Robles D, Valencia-Flores M, Cansino S, Salvador-Cruz J. Polysomnographic parameters associated with cognitive function in patients with major depression and insomnia. CNS Spectr 2024; 29:197-205. [PMID: 38685584 DOI: 10.1017/s1092852924000257] [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: 05/02/2024]
Abstract
OBJECTIVE To examine whether objective sleep parameters are associated with cognitive function (CF) in patients with major depressive disorder (MDD) with chronic insomnia (CI) and whether the severity of these disorders is related to CF. METHOD Thirty patients with MDD with CI attending a tertiary care institution underwent two consecutive nights of polysomnographic (PSG) recording and a battery of neuropsychological tests, which included episodic memory, sustained attention, working memory, and executive function. The severity of MDD and CI was assessed by clinical scales. We examined the relationship between PSG parameters and CF, as well as whether the severity of the disorders is related to CF. RESULTS Linear regression analysis revealed that total sleep time (TST) was positively associated with higher learning and recall of episodic memory, as well as better attention. Slow-wave sleep (SWS) showed a positive association with better working memory. Furthermore, wake after sleep onset (WASO) was negatively associated with episodic memory and lower attention. No significant relationships were found between the severity of MDD or CI with CF. CONCLUSION Both sleep duration and depth are positively associated with several aspects of CF in patients with MDD with CI. Conversely, a lack of sleep maintenance is negatively related to CF in these patients. These findings could help identify modifiable therapeutic targets to reduce CF impairment.
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Affiliation(s)
- Carlos Olivera-López
- Laboratory of Sleep Disorders, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
- Faculty of Higher Studies Zaragoza, National Autonomous University of Mexico, Mexico City, Mexico
| | - Alejandro Jiménez-Genchi
- Clinical Services Unit, Sleep Clinic, National Institute of Psychiatry "Ramón de la Fuente Muñiz", Mexico City, Mexico
| | - David Ortega-Robles
- Clinical Services Unit, Sleep Clinic, National Institute of Psychiatry "Ramón de la Fuente Muñiz", Mexico City, Mexico
| | - Matilde Valencia-Flores
- Laboratory of Sleep Disorders, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Selene Cansino
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Judith Salvador-Cruz
- Faculty of Higher Studies Zaragoza, National Autonomous University of Mexico, Mexico City, Mexico
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3
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Marsh BM, Navas-Zuloaga MG, Rosen BQ, Sokolov Y, Delanois JE, González OC, Krishnan GP, Halgren E, Bazhenov M. Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.15.562408. [PMID: 38617301 PMCID: PMC11014475 DOI: 10.1101/2023.10.15.562408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Slow-wave sleep (SWS), characterized by slow oscillations (SO, <1Hz) of alternating active and silent states in the thalamocortical network, is a primary brain state during Non-Rapid Eye Movement (NREM) sleep. In the last two decades, the traditional view of SWS as a global and uniform whole-brain state has been challenged by a growing body of evidence indicating that SO can be local and can coexist with wake-like activity. However, the understanding of how global and local SO emerges from micro-scale neuron dynamics and network connectivity remains unclear. We developed a multi-scale, biophysically realistic human whole-brain thalamocortical network model capable of transitioning between the awake state and slow-wave sleep, and we investigated the role of connectivity in the spatio-temporal dynamics of sleep SO. We found that the overall strength and a relative balance between long and short-range synaptic connections determined the network state. Importantly, for a range of synaptic strengths, the model demonstrated complex mixed SO states, where periods of synchronized global slow-wave activity were intermittent with the periods of asynchronous local slow-waves. Increase of the overall synaptic strength led to synchronized global SO, while decrease of synaptic connectivity produced only local slow-waves that would not propagate beyond local area. These results were compared to human data to validate probable models of biophysically realistic SO. The model producing mixed states provided the best match to the spatial coherence profile and the functional connectivity estimated from human subjects. These findings shed light on how the spatio-temporal properties of SO emerge from local and global cortical connectivity and provide a framework for further exploring the mechanisms and functions of SWS in health and disease.
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Affiliation(s)
- Brianna M Marsh
- Department of Medicine, University of California, San Diego
- Neuroscience Graduate Program, University of California, San Diego
| | | | - Burke Q Rosen
- Neuroscience Graduate Program, University of California, San Diego
| | - Yury Sokolov
- Department of Medicine, University of California, San Diego
| | - Jean Erik Delanois
- Department of Medicine, University of California, San Diego
- Department of Computer Science and Engineering, University of California, San Diego
| | | | | | - Eric Halgren
- Neuroscience Graduate Program, University of California, San Diego
- Department of Radiology and Neuroscience, University of California, San Diego
| | - Maxim Bazhenov
- Department of Medicine, University of California, San Diego
- Neuroscience Graduate Program, University of California, San Diego
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4
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Mucignat-Caretta C, Soravia G. Positive or negative environmental modulations on human brain development: the morpho-functional outcomes of music training or stress. Front Neurosci 2023; 17:1266766. [PMID: 38027483 PMCID: PMC10657192 DOI: 10.3389/fnins.2023.1266766] [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: 07/27/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
In the last couple of decades, the study of human living brain has benefitted of neuroimaging and non-invasive electrophysiological techniques, which are particularly valuable during development. A number of studies allowed to trace the usual stages leading from pregnancy to adult age, and relate them to functional and behavioral measurements. It was also possible to explore the effects of some interventions, behavioral or not, showing that the commonly followed pathway to adulthood may be steered by external interventions. These events may result in behavioral modifications but also in structural changes, in some cases limiting plasticity or extending/modifying critical periods. In this review, we outline the healthy human brain development in the absence of major issues or diseases. Then, the effects of negative (different stressors) and positive (music training) environmental stimuli on brain and behavioral development is depicted. Hence, it may be concluded that the typical development follows a course strictly dependent from environmental inputs, and that external intervention can be designed to positively counteract negative influences, particularly at young ages. We also focus on the social aspect of development, which starts in utero and continues after birth by building social relationships. This poses a great responsibility in handling children education and healthcare politics, pointing to social accountability for the responsible development of each child.
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Affiliation(s)
| | - Giulia Soravia
- Department of Mother and Child Health, University of Padova, Padova, Italy
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5
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Wehrle FM, Furrer M, Feldmann M, Liamlahi R, Naef N, O'Gorman R, Latal B, Huber R. Functional networks of working memory abilities in children with complex congenital heart disease: a sleep EEG study. Child Neuropsychol 2023; 29:1109-1127. [PMID: 36324058 DOI: 10.1080/09297049.2022.2140796] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 10/21/2022] [Indexed: 11/06/2022]
Abstract
Working memory is frequently impaired in children with complex congenital heart disease (CHD), but little is known about the functional neuronal correlates. Sleep slow wave activity (SWA; 1-4.5 Hz EEG power) has previously been shown to reliably map neurofunctional networks of cognitive abilities in children with and without neurodevelopmental impairments. This study investigated whether functional networks of working memory abilities are altered in children with complex CHD using EEG recordings during sleep. Twenty-one children with complex CHD (aged 10.9 [SD: 0.3] years) and 17 typically-developing peers (10.5 [0.7] years) completed different working memory tasks and an overnight high-density sleep EEG recording (128 electrodes). The combined working memory score tended to be lower in children with complex CHD (CHD group: -0.44 [1.12], typically-developing group: 0.55 [1.24], d = 0.59, p = .06). The working memory score and sleep SWA of the first hour of deep sleep were correlated over similar brain regions in both groups: Strong positive associations were found over prefrontal and fronto-parietal brain regions - known to be part of the working memory network - and strong negative associations were found over central brain regions. Within these working memory networks, the associations between working memory abilities and sleep SWA (r between -.36 and .58, all p < .03) were not different between the two groups (no interactions, all p > .05). The current findings suggest that sleep SWA reliably maps working memory networks in children with complex CHD and that these functional networks are generally preserved in these patients.
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Affiliation(s)
- Flavia M Wehrle
- Child Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Neonatology and Intensive Care, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Melanie Furrer
- Child Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Maria Feldmann
- Child Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Rabia Liamlahi
- Child Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Nadja Naef
- Child Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ruth O'Gorman
- Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Center for MR Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Beatrice Latal
- Child Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Reto Huber
- Child Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
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6
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Chen PC, Zhang J, Thayer JF, Mednick SC. Understanding the roles of central and autonomic activity during sleep in the improvement of working memory and episodic memory. Proc Natl Acad Sci U S A 2022; 119:e2123417119. [PMID: 36279428 PMCID: PMC9636982 DOI: 10.1073/pnas.2123417119] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The last decade has seen significant progress in identifying sleep mechanisms that support cognition. Most of these studies focus on the link between electrophysiological events of the central nervous system during sleep and improvements in different cognitive domains, while the dynamic shifts of the autonomic nervous system across sleep have been largely overlooked. Recent studies, however, have identified significant contributions of autonomic inputs during sleep to cognition. Yet, there remain considerable gaps in understanding how central and autonomic systems work together during sleep to facilitate cognitive improvement. In this article we examine the evidence for the independent and interactive roles of central and autonomic activities during sleep and wake in cognitive processing. We specifically focus on the prefrontal-subcortical structures supporting working memory and mechanisms underlying the formation of hippocampal-dependent episodic memory. Our Slow Oscillation Switch Model identifies separate and competing underlying mechanisms supporting the two memory domains at the synaptic, systems, and behavioral levels. We propose that sleep is a competitive arena in which both memory domains vie for limited resources, experimentally demonstrated when boosting one system leads to a functional trade-off in electrophysiological and behavioral outcomes. As these findings inevitably lead to further questions, we suggest areas of future research to better understand how the brain and body interact to support a wide range of cognitive domains during a single sleep episode.
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Affiliation(s)
- Pin-Chun Chen
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104
| | - Jing Zhang
- Department of Cognitive Sciences, University of California, Irvine, CA 92697
| | - Julian F. Thayer
- Department of Psychological Sciences, University of California, Irvine, CA 92697
| | - Sara C. Mednick
- Department of Cognitive Sciences, University of California, Irvine, CA 92697
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7
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Zhang P, Yan J, Liu Z, Yu H, Zhao R, Zhou Q. Extreme conditions affect neuronal oscillations of cerebral cortices in humans in the China Space Station and on Earth. Commun Biol 2022; 5:1041. [PMID: 36180522 PMCID: PMC9525319 DOI: 10.1038/s42003-022-04018-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 09/21/2022] [Indexed: 02/06/2023] Open
Abstract
Rhythmical oscillations of neural populations can reflect working memory performance. However, whether neuronal oscillations of the cerebral cortex change in extreme environments, especially in a space station, remains unclear. Here, we recorded electroencephalography (EEG) signals when volunteers and astronauts were executing a memory task in extreme working conditions. Our experiments showed that two extreme conditions affect neuronal oscillations of the cerebral cortex and manifest in different ways. Lengthy periods of mental work impairs the gating mechanism formed by theta-gamma phase-amplitude coupling of two cortical areas, and sleep deprivation disrupts synaptic homeostasis, as reflected by the substantial increase in theta wave activity in the cortical frontal-central area. In addition, we excluded the possibility that nutritional supply or psychological situations caused decoupled theta-gamma phase-amplitude coupling or an imbalance in theta wave activity increase. Therefore, we speculate that the decoupled theta-gamma phase-amplitude coupling detected in astronauts results from their lengthy periods of mental work in the China Space Station. Furthermore, comparing preflight and inflight experiments, we find that long-term spaceflight and other hazards in the space station could worsen this decoupling evolution. This particular neuronal oscillation mechanism in the cerebral cortex could guide countermeasures for the inadaptability of humans working in spaceflight.
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Affiliation(s)
- Peng Zhang
- grid.64939.310000 0000 9999 1211School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191 China ,grid.64939.310000 0000 9999 1211Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
| | - Juan Yan
- grid.198530.60000 0000 8803 2373China CDC Key Laboratory of Radiological Protection and Nuclear Emergency, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing, 100088 China
| | - Zhongqi Liu
- grid.64939.310000 0000 9999 1211School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191 China ,grid.64939.310000 0000 9999 1211Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
| | - Hongqiang Yu
- grid.418516.f0000 0004 1791 7464China Astronaut Research and Training Center, Beijing, 100193 China
| | - Rui Zhao
- grid.418516.f0000 0004 1791 7464China Astronaut Research and Training Center, Beijing, 100193 China
| | - Qianxiang Zhou
- grid.64939.310000 0000 9999 1211School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191 China ,grid.64939.310000 0000 9999 1211Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191 China
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8
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Au J, Smith-Peirce RN, Carbone E, Moon A, Evans M, Jonides J, Jaeggi SM. Effects of Multisession Prefrontal Transcranial Direct Current Stimulation on Long-term Memory and Working Memory in Older Adults. J Cogn Neurosci 2022; 34:1015-1037. [PMID: 35195728 PMCID: PMC9836784 DOI: 10.1162/jocn_a_01839] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Transcranial direct current stimulation (tDCS) is a noninvasive form of electrical brain stimulation popularly used to augment the effects of working memory (WM) training. Although success has been mixed, some studies report enhancements in WM performance persisting days, weeks, or even months that are actually more reminiscent of consolidation effects typically observed in the long-term memory (LTM) domain, rather than WM improvements per se. Although tDCS has been often reported to enhance both WM and LTM, these effects have never been directly compared within the same study. However, given their considerable neural and behavioral overlap, this is a timely comparison to make. This study reports results from a multisession intervention in older adults comparing active and sham tDCS over the left dorsolateral pFC during training on both an n-back WM task and a word learning LTM task. We found strong and robust effects on LTM, but mixed effects on WM that only emerged for those with lower baseline ability. Importantly, mediation analyses showed an indirect effect of tDCS on WM that was mediated by improvements in consolidation. We conclude that tDCS over the left dorsolateral pFC can be used as an effective intervention to foster long-term learning and memory consolidation in aging, which can manifest in performance improvements across multiple memory domains.
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Affiliation(s)
- Jacky Au
- School of Education, University of California, Irvine, Irvine CA, 92697, USA
| | | | - Elena Carbone
- Department of General Psychology, University of Padova, Padova, 35131, Italy
| | - Austin Moon
- Department of Psychology, University of California, Riverside, Riverside CA, 92521, USA
| | - Michelle Evans
- Department of Psychology, University of Michigan, Ann Arbor MI, 48109, USA
| | - John Jonides
- Department of Psychology, University of Michigan, Ann Arbor MI, 48109, USA
| | - Susanne M. Jaeggi
- School of Education, University of California, Irvine, Irvine CA, 92697, USA
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Sun X, Wang G, Chen M, Zhao J, Zhang Y, Jiang Y, Zhu Q, Rong T, Jiang F. The effects of improvements of sleep disturbances throughout kindergarten on executive function: A latent change score analysis. COGNITIVE DEVELOPMENT 2022. [DOI: 10.1016/j.cogdev.2022.101174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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10
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Competitive dynamics underlie cognitive improvements during sleep. Proc Natl Acad Sci U S A 2021; 118:2109339118. [PMID: 34903651 PMCID: PMC8713802 DOI: 10.1073/pnas.2109339118] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/02/2021] [Indexed: 12/02/2022] Open
Abstract
Sleep facilitates both long-term episodic memory consolidation and short-term working memory functioning. However, the mechanism by which the sleeping brain performs both complex feats and which sleep features are associated with these processes remain unclear. Using a pharmacological approach, we demonstrate that long-term and working memory are served by distinct offline neural mechanisms and that these mechanisms are mutually antagonistic. We propose a sleep switch model in which the brain toggles between the two memory processes via a complex interaction at the synaptic, systems, and mechanistic level with implications for research on cognitive disturbances observed in neurodegenerative disorders such as Alzheimer’s and Parkinson's disease, both of which involve the decline of sleep. We provide evidence that human sleep is a competitive arena in which cognitive domains vie for limited resources. Using pharmacology and effective connectivity analysis, we demonstrate that long-term memory and working memory are served by distinct offline neural mechanisms that are mutually antagonistic. Specifically, we administered zolpidem to increase central sigma activity and demonstrated targeted suppression of autonomic vagal activity. With effective connectivity, we determined the central activity has greater causal influence over autonomic activity, and the magnitude of this influence during sleep produced a behavioral trade-off between offline long-term and working memory processing. These findings suggest a sleep switch mechanism that toggles between central sigma-dependent long-term memory and autonomic vagal-dependent working memory processing.
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Bersenev EY, Ukraintseva YV, Kovrov GV, Yakhya YD, Vassilieva GY, Tomilovskaya ES, Rukavishnikov IV, Posokhov SI, Orlov AV, Osetsky NY, Orlov OI. Sleep in 21-Day Dry Immersion. Are Cardiovascular Adjustments Rapid Eye Movement Sleep-Dependent? Front Physiol 2021; 12:749773. [PMID: 34764883 PMCID: PMC8576394 DOI: 10.3389/fphys.2021.749773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 10/05/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: A decrease in sleep quality and duration during space missions has repeatedly been reported. However, the exact causes that underlie this effect remain unclear. In space, sleep might be impacted by weightlessness and its influence on cardiovascular function. In this study, we aimed at exploring the changes of night sleep architecture during prolonged, 21-day Dry Immersion (DI) as one of the ground-based models for microgravity studies and comparing them with adaptive changes in the cardiovascular system. Methods: Ten healthy young men were exposed to DI for 21 days. The day before (baseline, B-1), on the 3rd (DI3), 10th (DI10), and 19th (DI19) day of DI, as well as in the recovery period, 1 day after the end of DI (R + 1), they were subjected to overnight polysomnography (PSG) and ambulatory blood pressure monitoring. Results: On DI3, when the most severe back pain occurred due to the effects of DI on the spine and back muscles, the PSG data showed dramatically disorganized sleep architecture. Sleep latency, the number of awakenings, and the duration of wake after sleep onset (WASO) were significantly increased compared with the B-1. Furthermore, the sleep efficiency, duration of rapid eye movement sleep (REM), and duration of non-rapid eye movement stage 2 decreased. On DI10, subjective pain ratings declined to 0 and sleep architecture returned to the baseline values. On DI19, the REM duration increased and continued to rise on R + 1. An increase in REM was accompanied by rising in a nighttime heart rate (HR), which also shows the most significant changes after the end of DI. On DI19 and R + 1, the REM duration showed opposite correlations with the BP parameters: on DI19 it was negatively associated with the systolic BP (SBP), and on R + 1 it was positively correlated with the diastolic BP (DBP). Conclusion: An increase in REM at the end of DI and in recovery might be associated with regulatory changes in the cardiovascular system, in particular, with the reorganization of the peripheral and central blood flow in response to environmental changes.
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Affiliation(s)
- Evgeny Yu Bersenev
- State Scientific Center of the Russian Federation Institute of Biomedical Problems of the Russian Academy of Sciences (SSC RF IBMP RAS), Moscow, Russia
| | - Yulia V Ukraintseva
- Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences (IHNA&NPh RAS), Moscow, Russia
| | - Gennadiy V Kovrov
- Biomedical Science & Technology Park of I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia
| | - Yusef D Yakhya
- State Scientific Center of the Russian Federation Institute of Biomedical Problems of the Russian Academy of Sciences (SSC RF IBMP RAS), Moscow, Russia
| | - Galina Yu Vassilieva
- State Scientific Center of the Russian Federation Institute of Biomedical Problems of the Russian Academy of Sciences (SSC RF IBMP RAS), Moscow, Russia
| | - Elena S Tomilovskaya
- State Scientific Center of the Russian Federation Institute of Biomedical Problems of the Russian Academy of Sciences (SSC RF IBMP RAS), Moscow, Russia
| | - Ilya V Rukavishnikov
- State Scientific Center of the Russian Federation Institute of Biomedical Problems of the Russian Academy of Sciences (SSC RF IBMP RAS), Moscow, Russia
| | - Sergey I Posokhov
- Biomedical Science & Technology Park of I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia
| | - Artemiy V Orlov
- State Scientific Center of the Russian Federation Institute of Biomedical Problems of the Russian Academy of Sciences (SSC RF IBMP RAS), Moscow, Russia
| | - Nikolay Yu Osetsky
- State Scientific Center of the Russian Federation Institute of Biomedical Problems of the Russian Academy of Sciences (SSC RF IBMP RAS), Moscow, Russia
| | - Oleg I Orlov
- State Scientific Center of the Russian Federation Institute of Biomedical Problems of the Russian Academy of Sciences (SSC RF IBMP RAS), Moscow, Russia
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12
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Au J, Katz B, Moon A, Talati S, Abagis TR, Jonides J, Jaeggi SM. Post-training stimulation of the right dorsolateral prefrontal cortex impairs working memory training performance. J Neurosci Res 2021; 99:2351-2363. [PMID: 33438297 PMCID: PMC8273206 DOI: 10.1002/jnr.24784] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 12/23/2020] [Indexed: 11/08/2022]
Abstract
Research investigating transcranial direct current stimulation (tDCS) to enhance cognitive training augments both our understanding of its long-term effects on cognitive plasticity as well as potential applications to strengthen cognitive interventions. Previous work has demonstrated enhancement of working memory training while applying concurrent tDCS to the dorsolateral prefrontal cortex (DLPFC). However, the optimal stimulation parameters are still unknown. For example, the timing of tDCS delivery has been shown to be an influential variable that can interact with task learning. In the present study, we used tDCS to target the right DLPFC while participants trained on a visuospatial working memory task. We sought to compare the relative efficacy of online stimulation delivered during training to offline stimulation delivered either immediately before or afterwards. We were unable to replicate previously demonstrated benefits of online stimulation; however, we did find evidence that offline stimulation delivered after training can actually be detrimental to training performance relative to sham. We interpret our results in light of evidence suggesting a role of the right DLPFC in promoting memory interference, and conclude that while tDCS may be a promising tool to influence the results of cognitive training, more research and an abundance of caution are needed before fully endorsing its use for cognitive enhancement. This work suggests that effects can vary substantially in magnitude and direction between studies, and may be heavily dependent on a variety of intervention protocol parameters such as the timing and location of stimulation delivery, about which our understanding is still nascent.
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Affiliation(s)
- Jacky Au
- School of Education, University of California, Irvine, Irvine, CA, 92697, USA
| | - Benjamin Katz
- Department of Human Development and Family Science, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Austin Moon
- School of Education, University of California, Irvine, Irvine, CA, 92697, USA
| | - Sheebani Talati
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Tessa R. Abagis
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - John Jonides
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Susanne M. Jaeggi
- School of Education, University of California, Irvine, Irvine, CA, 92697, USA
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13
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Okuda M, Noda A, Mabuchi S, Iwamoto K, Banno M, Miyata S, Yasuma F, Ozaki N. Sleep fragmentation and working memory in healthy adults. Sleep Sci 2021; 14:111-117. [PMID: 35082979 PMCID: PMC8764943 DOI: 10.5935/1984-0063.20200088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 12/08/2020] [Indexed: 12/05/2022] Open
Abstract
Introduction Sleep is essential for performing cognitive function in humans. We have hypothesized that sleep fragmentation compared to sleep efficiency may have a negative impact on the working memory. Material and Methods Twenty-eight healthy adults (18 males and 10 females; mean age 27.8±15.5 years) were enrolled in this study. We measured the total sleep time (TST), sleep efficiency, %stage wakefulness (W), %stage rapid eye movement (REM), %stage N1, %stage N2, %stage N3, wake after sleep onset (WASO), and arousal index using polysomnography. Working memory, executive function, and sustained attention of three domains of cognitive function were evaluated with the number of back task (N-back task), Wisconsin card sorting test (WCST), and continuous performance test-identical pairs (CPT-IP), respectively. Results The percentage of correct answers on the 2-back task was significantly correlated with %stage REM, %stage N1, and %stage N2 (%stage REM: r=0.505, p=0.006; %stage N1: r=-0.637, p<0.001; %stage N2: r=0.670, p<0.001), and multiple regression analysis including the stepwise forward selection method revealed that %stage N2 was the most significant factor (%stage N2: β=0.670, p<0.001). The percentage of correct answers on the 2-back task was also significantly correlated with TST, sleep efficiency, WASO, and arousal index (TST: r=0.492, p=0.008; sleep efficiency: r=0.622, p<0.001; WASO: r=-0.721, p<0.001; arousal index: r=-0.656, p<0.001), and WASO was the significant factor (β=-2.086, p=0.007). The WCST category achievement and CPT-IP d-prime score were correlated with none of the sleep variables. Conclusion Increased WASO and a decrease in %stage N2 were associated with worse working memory.
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Affiliation(s)
- Masato Okuda
- Chubu University Graduate School of Life and Health Sciences, Department of Biomedical Sciences - Kasugai - Aichi - Japan
| | - Akiko Noda
- Chubu University Graduate School of Life and Health Sciences, Department of Biomedical Sciences - Kasugai - Aichi - Japan
| | - Sho Mabuchi
- Chubu University Collage of Life and Health Sciences, Department of Biomedical Sciences -Kasugai - Aichi- Japan
| | - Kunihiro Iwamoto
- Nagoya University Graduate School of Medicine, Department of Psychiatry - Nagoya - Aichi -Japan
| | - Masahiro Banno
- Nagoya University Graduate School of Medicine, Department of Psychiatry - Nagoya - Aichi -Japan.,Seichiryo Hospital, Department of Psychiatry - Nagoya - Aichi - Japan
| | - Seiko Miyata
- Nagoya University Graduate School of Medicine, Department of Psychiatry - Nagoya - Aichi -Japan
| | - Fumihiko Yasuma
- National Hospital Organization Suzuka Hospital, Department of Internal Medicine - Suzuka - Mie -Japan
| | - Norio Ozaki
- Nagoya University Graduate School of Medicine, Department of Psychiatry - Nagoya - Aichi -Japan
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14
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Mouthon AL, Meyer-Heim A, Huber R, Van Hedel HJA. Neural correlates of memory recovery: Preliminary findings in children and adolescents with acquired brain injury. Restor Neurol Neurosci 2021; 39:61-71. [PMID: 33579882 PMCID: PMC7990412 DOI: 10.3233/rnn-201140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: After acquired brain injury (ABI), patients show various neurological impairments and outcome is difficult to predict. Identifying biomarkers of recovery could provide prognostic information about a patient’s neural potential for recovery and improve our understanding of neural reorganization. In healthy subjects, sleep slow wave activity (SWA, EEG spectral power 1–4.5 Hz) has been linked to neuroplastic processes such as learning and brain maturation. Therefore, we suggest that SWA might be a suitable measure to investigate neural reorganization underlying memory recovery. Objectives: In the present study, we used SWA to investigate neural correlates of recovery of function in ten paediatric patients with ABI (age range 7–15 years). Methods: We recorded high-density EEG (128 electrodes) during sleep at the beginning and end of rehabilitation. We used sleep EEG data of 52 typically developing children to calculate age-normalized values for individual patients. In patients, we also assessed every-day life memory impairment at the beginning and end of rehabilitation. Results: In the course of rehabilitation, memory recovery was paralleled by longitudinal changes in SWA over posterior parietal brain areas. SWA over left prefrontal and occipital brain areas at the beginning of rehabilitation predicted memory recovery. Conclusions: We show that longitudinal sleep-EEG measurements are feasible in the clinical setting. While posterior parietal and prefrontal brain areas are known to belong to the memory “core network”, occipital brain areas have never been related to memory. While we have to remain cautious in interpreting preliminary findings, we suggest that SWA is a promising measure to investigate neural reorganization.
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Affiliation(s)
- Anne-Laure Mouthon
- Swiss Children's Rehab - Research Department and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Switzerland
| | - Andreas Meyer-Heim
- Swiss Children's Rehab - Research Department and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Switzerland
| | - Reto Huber
- Child Development Centre and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Switzerland.,Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Switzerland
| | - Hubertus J A Van Hedel
- Swiss Children's Rehab - Research Department and Children's Research Centre, University Children's Hospital Zurich, University of Zurich, Switzerland
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15
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Homeostasis Research Model Based on Yin-Yang Theory: Five Examples. Chin J Integr Med 2021; 27:403-407. [PMID: 33433846 DOI: 10.1007/s11655-021-2861-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/25/2020] [Indexed: 10/22/2022]
Abstract
In recent years, the ancient Yin-Yang theory has been gradually adopted by modern researchers, especially European and American scholars, and it has also been applied to modern scientific research on sleep, viruses, metabolism, cancer, genes, autoimmune diseases, and so on. It is very promising and fruitful results have been reported. However, the understanding of the connotations of Yin-Yang theory is not sufficient and thorough enough in these studies. If we understand and apply Yin-Yang theory more comprehensively, it may provide us with additional potential mechanisms and research directions worthy of study. On the basis of promoting a comprehensive understanding of all three connotations of Yin-Yang theory, this review attempts to illustrate this theory, summarize its applications in modern scientific research, and reveal the potential research direction of modern medicine.
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16
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LaGoy AD, Kaskie R, Connaboy C, Germain A, Ferrarelli F. Overnight Sleep Parameter Increases in Frontoparietal Areas Predict Working Memory Improvements in Healthy Participants But Not in Individuals With Posttraumatic Stress Disorder. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:1110-1117. [PMID: 33757792 DOI: 10.1016/j.bpsc.2020.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Revised: 12/02/2020] [Accepted: 12/17/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Preliminary evidence indicates that non-rapid eye movement (NREM) sleep is implicated in enhancing working memory (WM) performance across days in healthy individuals. While REM sleep has been implicated in other forms of memory, its role in WM remains unclear. Further, the relationship between sleep changes and WM improvement is largely unknown in posttraumatic stress disorder (PTSD). Examining the relationship between changes in sleep and WM improvement in healthy participants and participants with PTSD may inform cognitive enhancement strategies and intervention targets. METHODS Repeated assessments of WM and overnight measurement of NREM and REM sleep parameters were performed in 79 participants (participants with PTSD: n = 33) during a 48-hour laboratory stay. Relationships between sleep parameter changes, WM performance changes, and clinical characteristics were analyzed in PTSD and healthy groups. RESULTS A between-night enhancement in both NREM and REM sleep parameters in frontoparietal areas predicted across-day better WM performance in healthy participants, particularly in those with improved performance. In contrast, in participants with PTSD, an enhancement of these sleep parameters predicted a worse WM performance and was also associated with more PTSD-related sleep disturbances. CONCLUSIONS This study shows that higher sleep activity in frontoparietal areas leads to enhanced WM performance in healthy individuals, whereas in individuals with PTSD, it likely reflects the presence of sleep disturbances that interfere with WM improvement. Interventions focused on addressing sleep disturbances could therefore ameliorate cognitive impairments in individuals with PTSD.
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Affiliation(s)
- Alice D LaGoy
- Department of Sports Medicine and Nutrition, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Rachel Kaskie
- University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Christopher Connaboy
- Department of Sports Medicine and Nutrition, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Anne Germain
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Fabio Ferrarelli
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
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17
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Chen PC, Whitehurst LN, Naji M, Mednick SC. Autonomic Activity during a Daytime Nap Facilitates Working Memory Improvement. J Cogn Neurosci 2020; 32:1963-1974. [PMID: 32530384 DOI: 10.1162/jocn_a_01588] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Recent investigations have implicated the parasympathetic branch of the autonomic nervous system in higher-order executive functions. These actions are purported to occur through autonomic nervous system's modulation of the pFC, with parasympathetic activity during wake associated with working memory (WM) ability. Compared with wake, sleep is a period with substantially greater parasympathetic tone. Recent work has reported that sleep may also contribute to improvement in WM. Here, we examined the role of cardiac parasympathetic activity during sleep on WM improvement in healthy young adults. Participants were tested in an operation span task in the morning and evening, and during the intertest period, participants experienced either a nap or wake. We measured high-frequency heart rate variability as an index of cardiac, parasympathetic activity during both wake and sleep. Participants showed the expected boost in parasympathetic activity during nap, compared with wake. Furthermore, parasympathetic activity during sleep, but not wake, was significantly correlated with WM improvement. Together, these results indicate that the natural boost in parasympathetic activity during sleep may benefit gains in prefrontal executive function in young adults. We present a conceptual model illustrating the interaction between sleep, autonomic activity, and prefrontal brain function and highlight open research questions that will facilitate understanding of the factors that contribute to executive abilities in young adults as well as in cognitive aging.
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18
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Chen PC, Whitehurst LN, Naji M, Mednick SC. Autonomic/central coupling benefits working memory in healthy young adults. Neurobiol Learn Mem 2020; 173:107267. [PMID: 32535198 DOI: 10.1016/j.nlm.2020.107267] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 05/13/2020] [Accepted: 06/08/2020] [Indexed: 02/01/2023]
Abstract
Working memory (WM) is an executive function that can improve with training. However, the precise mechanism for this improvement is not known. Studies have shown greater WM gains after a period of sleep than a similar period of wake, and correlations between WM improvement and slow wave activity (SWA; 0.5-1 Hz) during slow wave sleep (SWS). A different body of literature has suggested an important role for autonomic activity during wake for WM. A recent study from our group reported that the temporal coupling of Autonomic/CentralEvents (ACEs) during sleep was associated with memory consolidation. We found that heart rate bursts (HR bursts) during non-rapid eye movement (NREM) sleep are accompanied by increases in SWA and sigma (12-15 Hz) power, as well as increases in the high-frequency (HF) component of the RR interval, reflecting vagal rebound. In addition, ACEs predict long-term, episodic memory improvement. Building on these previous results, we examined whether ACEs also contribute to gains in WM. We tested 104 young adults in an operation span task (OSPAN) in the morning and evening, with either a nap (n = 53; with electroencephalography (EEG) and electrocardiography (ECG)) or wake (n = 51) between testing sessions. We identified HR bursts in the ECG and replicated the increases in SWA and sigma prior to peak of the HR burst, as well as vagal rebound after the peak. Furthermore, we showed sleep-dependent WM improvement, which was predicted by ACE activity. Using regression analyses, we discovered that significantly more variance in WM improvement could be explained with ACE variables than with overall sleep activity not time-locked with ECG. These results provide the first evidence that coordinated autonomic and central events play a significant role in sleep-related WM improvement and implicate the potential of autonomic interventions during sleep for cognitive enhancement.
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Affiliation(s)
- Pin-Chun Chen
- Department of Cognitive Science, University of California, Irvine USA
| | | | - Mohsen Naji
- Department of Medicine, University of California, San Diego, CA, USA
| | - Sara C Mednick
- Department of Cognitive Science, University of California, Irvine USA.
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19
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Prehn-Kristensen A, Ngo HVV, Lentfer L, Berghäuser J, Brandes L, Schulze L, Göder R, Mölle M, Baving L. Acoustic closed-loop stimulation during sleep improves consolidation of reward-related memory information in healthy children but not in children with attention-deficit hyperactivity disorder. Sleep 2020; 43:5731400. [DOI: 10.1093/sleep/zsaa017] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 01/17/2020] [Indexed: 12/11/2022] Open
Abstract
Abstract
Study Objectives
Slow oscillations (SO) during slow-wave sleep foster the consolidation of declarative memory. Children with attention-deficit hyperactivity disorder (ADHD) display deficits in the sleep-associated consolidation of declarative memory, possibly due to an altered function of SO. The present study aimed at enhancing SO activity using closed-looped acoustic stimulation during slow-wave sleep in children with ADHD.
Methods
A total of 29 male children (14 with ADHD; aged 8–12 years) participated in a double-blind, placebo-controlled study trial. Children spent two experimental nights in a sleep lab, one stimulation night and one sham night. A declarative learning task (word-pair learning) with a reward condition was used as a primary outcome. Secondary outcome variables were a procedural memory (serial reaction time) and working memory (WM; n-back) task. Encoding of declarative and procedural memory took place in the evening before sleep. After sleep, the retrieval took place followed by the n-back task.
Results
The stimulation successfully induced SO activity during sleep in children with and without ADHD. After stimulation, only healthy children performed better on high-rewarded memory items (primary outcome). In contrast, there were indications that only children with ADHD benefitted from the stimulation with respect to procedural as well as WM performance (secondary outcome).
Conclusions
We were able to show that the acoustic closed-loop stimulation can be applied to enhance SO activity in children with and without ADHD. Our data indicate that SO activity during sleep interacts with subsequent memory performance (primary outcome: rewarded declarative memory; secondary outcome: procedural and WM) in children with and without ADHD.
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Affiliation(s)
- Alexander Prehn-Kristensen
- Department of Child and Adolescent Psychiatry and Psychotherapy, Center for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University, Kiel, Germany
| | - Hong-Viet V Ngo
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Luisa Lentfer
- Department of Child and Adolescent Psychiatry and Psychotherapy, Center for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University, Kiel, Germany
| | - Julia Berghäuser
- Department of Child and Adolescent Psychiatry and Psychotherapy, Center for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University, Kiel, Germany
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Lena Brandes
- Department of Child and Adolescent Psychiatry and Psychotherapy, Center for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University, Kiel, Germany
| | - Larissa Schulze
- Department of Child and Adolescent Psychiatry and Psychotherapy, Center for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University, Kiel, Germany
| | - Robert Göder
- Department of Psychiatry and Psychotherapy, Center for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University, Kiel, Germany
| | - Matthias Mölle
- Center of Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
| | - Lioba Baving
- Department of Child and Adolescent Psychiatry and Psychotherapy, Center for Integrative Psychiatry, School of Medicine, Christian-Albrechts-University, Kiel, Germany
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20
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Sleep EEG slow-wave activity in medicated and unmedicated children and adolescents with attention-deficit/hyperactivity disorder. Transl Psychiatry 2019; 9:324. [PMID: 31780639 PMCID: PMC6883036 DOI: 10.1038/s41398-019-0659-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 11/05/2019] [Accepted: 11/14/2019] [Indexed: 12/13/2022] Open
Abstract
Slow waves (1-4.5 Hz) are the most characteristic oscillations of deep non-rapid eye movement sleep. The EEG power in this frequency range (slow-wave activity, SWA) parallels changes in cortical connectivity (i.e., synaptic density) during development. In patients with attention-deficit/hyperactivity disorder (ADHD), prefrontal cortical development was shown to be delayed and global gray matter volumes to be smaller compared to healthy controls. Using data of all-night recordings assessed with high-density sleep EEG of 50 children and adolescents with ADHD (mean age: 12.2 years, range: 8-16 years, 13 female) and 86 age- and sex-matched healthy controls (mean age: 12.2 years, range: 8-16 years, 23 female), we investigated if ADHD patients differ in the level of SWA. Furthermore, we examined the effect of stimulant medication. ADHD patients showed a reduction in SWA across the whole brain (-20.5%) compared to healthy controls. A subgroup analysis revealed that this decrease was not significant in patients who were taking stimulant medication on a regular basis at the time of their participation in the study. Assuming that SWA directly reflects synaptic density, the present findings are in line with previous data of neuroimaging studies showing smaller gray matter volumes in ADHD patients and its normalization with stimulant medication.
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21
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Zielinski MR, Atochin DN, McNally JM, McKenna JT, Huang PL, Strecker RE, Gerashchenko D. Somatostatin+/nNOS+ neurons are involved in delta electroencephalogram activity and cortical-dependent recognition memory. Sleep 2019; 42:zsz143. [PMID: 31328777 PMCID: PMC6783898 DOI: 10.1093/sleep/zsz143] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 04/18/2019] [Indexed: 11/13/2022] Open
Abstract
Slow-wave activity (SWA) is an oscillatory neocortical activity occurring in the electroencephalogram delta (δ) frequency range (~0.5-4 Hz) during nonrapid eye movement sleep. SWA is a reliable indicator of sleep homeostasis after acute sleep loss and is involved in memory processes. Evidence suggests that cortical neuronal nitric oxide synthase (nNOS) expressing neurons that coexpress somatostatin (SST) play a key role in regulating SWA. However, previous studies lacked selectivity in targeting specific types of neurons that coexpress nNOS-cells which are activated in the cortex after sleep loss. We produced a mouse model that knocks out nNOS expression in neurons that coexpress SST throughout the cortex. Mice lacking nNOS expression in SST positive neurons exhibited significant impairments in both homeostatic low-δ frequency range SWA production and a recognition memory task that relies on cortical input. These results highlight that SST+/nNOS+ neurons are involved in the SWA homeostatic response and cortex-dependent recognition memory.
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Affiliation(s)
- Mark R Zielinski
- Veterans Affairs Boston Healthcare System, West Roxbury, MA
- Department of Psychiatry, Harvard Medical School, West Roxbury, MA
| | - Dmitriy N Atochin
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA
| | - James M McNally
- Veterans Affairs Boston Healthcare System, West Roxbury, MA
- Department of Psychiatry, Harvard Medical School, West Roxbury, MA
| | - James T McKenna
- Veterans Affairs Boston Healthcare System, West Roxbury, MA
- Department of Psychiatry, Harvard Medical School, West Roxbury, MA
| | - Paul L Huang
- Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA
| | - Robert E Strecker
- Veterans Affairs Boston Healthcare System, West Roxbury, MA
- Department of Psychiatry, Harvard Medical School, West Roxbury, MA
| | - Dmitry Gerashchenko
- Veterans Affairs Boston Healthcare System, West Roxbury, MA
- Department of Psychiatry, Harvard Medical School, West Roxbury, MA
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22
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Cerasuolo M, Conte F, Giganti F, Ficca G. Sleep changes following intensive cognitive activity. Sleep Med 2019; 66:148-158. [PMID: 31877506 DOI: 10.1016/j.sleep.2019.08.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 08/28/2019] [Accepted: 08/28/2019] [Indexed: 12/17/2022]
Abstract
Studies over the last 40 years have mainly investigated sleep structure changes as a result of wake duration, in the frame of the classical sleep regulation theories. However, wake intervals of the same duration can profoundly differ in their intensity, which actually reflects the degree of cognitive and physical activity. Data on how sleep can be modified by wake intensity changes (initially sparse and of little consistence) have become much more substantial, especially in the frame of the intense research debate on sleep-memory relationships. Our aim is to examine the vast repertoire of sleep modifications that depend on waking cognitive manipulations, highlighting the sleep features that appear most affected. By systematically addressing this issue, we want to set the basis for future research exploring both the specific nature of the mechanisms involved and the applicative psychosocial and clinical fall-outs, in terms of possible behavioural interventions for sleep quality improvement.
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Affiliation(s)
- Mariangela Cerasuolo
- Department of Psychology, University of Campania "L. Vanvitelli", Caserta, Italy
| | - Francesca Conte
- Department of Psychology, University of Campania "L. Vanvitelli", Caserta, Italy
| | - Fiorenza Giganti
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Gianluca Ficca
- Department of Psychology, University of Campania "L. Vanvitelli", Caserta, Italy.
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23
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Ioannides AA, Liu L, Kostopoulos GK. The Emergence of Spindles and K-Complexes and the Role of the Dorsal Caudal Part of the Anterior Cingulate as the Generator of K-Complexes. Front Neurosci 2019; 13:814. [PMID: 31447635 PMCID: PMC6692490 DOI: 10.3389/fnins.2019.00814] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 07/22/2019] [Indexed: 02/06/2023] Open
Abstract
The large multicomponent K-complex (KC) and the rhythmic spindle are the hallmarks of non-rapid eye movement (NREM)-2 sleep stage. We studied with magnetoencephalography (MEG) the progress of light sleep (NREM-1 and NREM-2) and emergence of KCs and spindles. Seven periods of interest (POI) were analyzed: wakefulness, the two quiet "core" periods of light sleep (periods free from any prominent phasic or oscillatory events) and four periods before and during spindles and KCs. For each POI, eight 2-s (1250 time slices) segments were used. We employed magnetic field tomography (MFT) to extract an independent tomographic estimate of brain activity from each MEG data sample. The spectral power was then computed for each voxel in the brain for each segment of each POI. The sets of eight maps from two POIs were contrasted using a voxel-by-voxel t-test. Only increased spectral power was identified in the four key contrasts between POIs before and during spindles and KCs versus the NREM2 core. Common increases were identified for all four subjects, especially within and close to the anterior cingulate cortex (ACC). These common increases were widespread for low frequencies, while for higher frequencies they were focal, confined to specific brain areas. For the pre-KC POI, only one prominent increase was identified, confined to the theta/alpha bands in a small area in the dorsal caudal part of ACC (dcACC). During KCs, the activity in this area grows in intensity and extent (in space and frequency), filling the space between the areas that expanded their low frequency activity (in the delta band) during NREM2 compared to NREM1. Our main finding is that prominent spectral power increases before NREM2 graphoelements are confined to the dcACC, and only for KCs, sharing common features with changes of activity in dcACC of the well-studied error related negativity (ERN). ERN is seen in awake state, in perceptual conflict and situations where there is a difference between expected and actual environmental or internal events. These results suggest that a KC is the sleep side of the awake state ERN, both serving their putative sentinel roles in the frame of the saliency network.
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Affiliation(s)
- Andreas A. Ioannides
- Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus
| | - Lichan Liu
- Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus
| | - George K. Kostopoulos
- Neurophysiology Unit, Department of Physiology, School of Medicine, University of Patras, Patras, Greece
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24
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Kirszenblat L, Yaun R, van Swinderen B. Visual experience drives sleep need in Drosophila. Sleep 2019; 42:zsz102. [PMID: 31100151 PMCID: PMC6612675 DOI: 10.1093/sleep/zsz102] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 02/18/2019] [Indexed: 11/23/2022] Open
Abstract
Sleep optimizes waking behavior, however, waking experience may also influence sleep. We used the fruit fly Drosophila melanogaster to investigate the relationship between visual experience and sleep in wild-type and mutant flies. We found that the classical visual mutant, optomotor-blind (omb), which has undeveloped horizontal system/vertical system (HS/VS) motion-processing cells and are defective in motion and visual salience perception, showed dramatically reduced and less consolidated sleep compared to wild-type flies. In contrast, optogenetic activation of the HS/VS motion-processing neurons in wild-type flies led to an increase in sleep following the activation, suggesting an increase in sleep pressure. Surprisingly, exposing wild-type flies to repetitive motion stimuli for extended periods did not increase sleep pressure. However, we observed that exposing flies to more complex image sequences from a movie led to more consolidated sleep, particularly when images were randomly shuffled through time. Our results suggest that specific forms of visual experience that involve motion circuits and complex, nonrepetitive imagery, drive sleep need in Drosophila.
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Affiliation(s)
- Leonie Kirszenblat
- Queensland Brain Institute, The University of Queensland, St Lucia, Australia
| | - Rebecca Yaun
- Queensland Brain Institute, The University of Queensland, St Lucia, Australia
| | - Bruno van Swinderen
- Queensland Brain Institute, The University of Queensland, St Lucia, Australia
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Ferrarelli F, Kaskie R, Laxminarayan S, Ramakrishnan S, Reifman J, Germain A. An increase in sleep slow waves predicts better working memory performance in healthy individuals. Neuroimage 2019; 191:1-9. [DOI: 10.1016/j.neuroimage.2019.02.020] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 01/14/2019] [Accepted: 02/07/2019] [Indexed: 11/16/2022] Open
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Abstract
BACKGROUND Sleep problems are common but often neglected in older adults, particularly in the context of cancer. Underlying mechanisms are poorly understood and interventions frequently lack a clear scientific basis. OBJECTIVE The objective of this report was to examine scientific content presented at a National Institutes of Health-sponsored U13 "Bedside to Bench" conference using a qualitative and iterative review procedure. Analysis of current scientific issues regarding sleep in older adults with cancer is needed to direct nurse scientists and clinicians toward research opportunities. METHODS A multistep review procedure for the analysis/synthesis of knowledge gaps and research opportunities was undertaken by oncology nurse scientists in attendance. RESULTS Conceptual problems in this area include the lack of standard sleep terminology and absence of an overarching conceptual model. Methodological problems are inconsistent sleep/napping measurement and complex operational challenges in designing comprehensive yet feasible studies in older adults. Knowledge gaps in basic and clinical science relate to cellular and molecular mechanisms that underlie sleep and circadian rhythm disturbances, contribution of sleep to adverse outcomes, and impact of disturbed sleep during hospitalization and the transition from hospital to home. CONCLUSIONS Focused and interdisciplinary research that advances conceptual and operational understanding of biological and behavioral determinants of sleep health in the aging cancer population can lead to more effective, safe, and targeted interventions for those with cancer-related sleep-circadian disturbances. IMPLICATIONS FOR PRACTICE Research that addresses current conceptual, methodological, and physiological issues can lead to more effective, safe, and targeted care for older adults with cancer-related sleep-circadian disturbances.
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Vermeulen MCM, Van der Heijden KB, Swaab H, Van Someren EJW. Sleep spindle characteristics and sleep architecture are associated with learning of executive functions in school-age children. J Sleep Res 2018; 28:e12779. [PMID: 30338601 PMCID: PMC7378945 DOI: 10.1111/jsr.12779] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 09/06/2018] [Accepted: 09/17/2018] [Indexed: 12/19/2022]
Abstract
The macro‐ and microstructural characteristics of sleep electroencephalography have been associated with several aspects of executive functioning. However, only a few studies have addressed the association of sleep characteristics with the learning involved in the acquisition of executive functions, and no study has investigated this for planning and problem‐solving skills in the developing brain of children. The present study examined whether children's sleep stages and microstructural sleep characteristics are associated with performance improvement over repeated assessments of the Tower of Hanoi task, which requires integrated planning and problem‐solving skills. Thirty children (11 boys, mean age 10.7 years, SD = 0.8) performed computerized parallel versions of the Tower of Hanoi three times across 2 days, including a night with polysomnographically assessed sleep. Pearson correlations were used to evaluate the associations of Tower of Hanoi solution time improvements across repeated assessments with sleep stages (% of total sleep time), slow‐wave activity, and fast and slow spindle features. The results indicated a stronger performance improvement across wake in children with more Stage N2 sleep and less slow‐wave sleep. Stronger improvements across sleep were present in children in whom slow spindles were more dense, and in children in whom fast spindles were less dense, of shorter duration and had less power. The findings indicate that specific sleep electroencephalography signatures reflect the ability of the developing brain to acquire and improve on integrated planning and problem‐solving skills.
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Affiliation(s)
- Marije C M Vermeulen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.,Department of Clinical Child and Adolescent Studies, Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands
| | - Kristiaan B Van der Heijden
- Department of Clinical Child and Adolescent Studies, Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
| | - Hanna Swaab
- Department of Clinical Child and Adolescent Studies, Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
| | - Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.,Departments of Psychiatry and Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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28
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Wilckens KA, Ferrarelli F, Walker MP, Buysse DJ. Slow-Wave Activity Enhancement to Improve Cognition. Trends Neurosci 2018; 41:470-482. [PMID: 29628198 PMCID: PMC6015540 DOI: 10.1016/j.tins.2018.03.003] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Revised: 02/26/2018] [Accepted: 03/05/2018] [Indexed: 02/07/2023]
Abstract
Slow-wave activity (SWA), and its coupling with other sleep features, reorganizes cortical circuitry, supporting cognition. This raises the question: can cognition be improved through SWA enhancement? SWA enhancement techniques range from behavioral interventions (such as exercise), which have high feasibility but low specificity, to laboratory-based techniques (such as transcranial stimulation), which have high specificity but are less feasible for widespread use. In this review we describe the pathways through which SWA is enhanced. Pathways encompass enhanced neural activity, increased energy metabolism, and endocrine signaling during wakefulness; also direct enhancement during sleep. We evaluate the robustness and practicality of SWA-enhancement techniques, discuss approaches for determining a causal role of SWA on cognition, and present questions to clarify the mechanisms of SWA-dependent cognitive improvements.
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Affiliation(s)
- Kristine A Wilckens
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA.
| | - Fabio Ferrarelli
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Matthew P Walker
- University of California, Berkeley, Department of Psychology, CA, USA
| | - Daniel J Buysse
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
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Quach J, Spencer-Smith M, Anderson PJ, Roberts G. Can working memory training improve children's sleep? Sleep Med 2018; 47:113-116. [PMID: 29787937 DOI: 10.1016/j.sleep.2017.11.1143] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Revised: 11/27/2017] [Accepted: 11/29/2017] [Indexed: 11/29/2022]
Abstract
BACKGROUND Improving children's sleep could lead to significant benefits in several functional domains. Recent research in adults suggests that intensive, adaptive cognitive training may be beneficial in improving sleep, although there is limited understanding whether this approach yields similar results in children. OBJECTIVE To determine whether a working memory training program improved sleep latency, sleep problems, and sleep duration on school and nonschool nights and whether there was a differential effect of the timing of training during the school day on sleep outcomes. DESIGN/METHODS Design: Population-based randomised controlled trial. SETTING Forty-four schools in Melbourne, Australia. PARTICIPANTS All Grade 1 children (mean age = 6.9 years, SD 0.4) underwent WM screening using two subtests from the Automated Working Memory Assessment. Children with low verbal and/or visuo-spatial WM scores relative to their peers ('low WM', ∼25%) were randomised to intervention or control arms. INTERVENTION 20 to 25 computerised 25-min training sessions were conducted using the CogMed program, over 5-7 weeks at school. OUTCOMES Parent-reported child sleep characteristics (time, latency, duration and problem) at 6 months post randomisation. RESULTS A total of 452 (26.0%) of 1723 children screened (64.1% of approached) met trial eligibility criteria, with 226 in each study arm. Of intervention children, 91% completed the minimum 20 days of training. Retention was 90.5% at 6 months. Adjusted regressions showed that intervention children did not have better sleep latency, duration, bedtime consistency or less sleep problems. CONCLUSION It does not appear that adaptive working memory training during the school day can be used as a novel approach to improve children's sleep attributes up to 6 months post-randomisation, regardless of the time of day training is delivered.
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Affiliation(s)
- Jon Quach
- Melbourne Graduate School of Education, The University of Melbourne, Parkville, VIC, 3052, Australia; Murdoch Childrens Research Institute, Parkville, VIC, 3052, Australia.
| | - Megan Spencer-Smith
- Murdoch Childrens Research Institute, Parkville, VIC, 3052, Australia; School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Clayton, VIC, 3800, Australia
| | - Peter J Anderson
- Murdoch Childrens Research Institute, Parkville, VIC, 3052, Australia; School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Clayton, VIC, 3800, Australia
| | - Gehan Roberts
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC, 3052, Australia; Department of Paediatrics, The University of Melbourne, Parkville, VIC, 3052, Australia
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Himanen SL, Huupponen E, Jussila M, Lapinlampi AM, Saarenpää-Heikkilä O. Local Differences in Computational Sleep Depth Parameters in Healthy School-aged Children. Clin EEG Neurosci 2017; 48:393-402. [PMID: 28679286 DOI: 10.1177/1550059417716039] [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] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Slow wave sleep in children reflects several processes, such as sleep pressure, synaptic density, and cortical maturation. Deep sleep in children is abundant and our aim was to discover whether examining electroencephalography (EEG) mean frequency would help separate these processes. METHODS Sleep EEG of 28 generally healthy 7- to 11-year-old children (14 first graders, 14 third graders, 14 girls, 14 boys) was analyzed. Median non-rapid eye movement (NREM) sleep EEG frequency (median sleep depth, in Hz) and the amount of computational deep sleep using the thresholds of 2 Hz and 4 Hz (DS2% and DS4%, respectively) were calculated from the frontopolar, central, and occipital EEG derivations. RESULTS Median NREM sleep frequency was lower in the left frontopolar area than more posteriorly in the whole study group, in the third graders and in the girls. In the left hemisphere, the amount of DS4% was higher frontopolarly than occipitally in the third graders and in the girls. The amount of DS2% was higher frontopolarly than centrally in all groups except in the first graders. In the whole study group, DS4% declined smoothly across the NREM episodes, whereas DS2% centered in the first NREM sleep episode. DISCUSSION The median NREM sleep EEG frequency results might denote earlier frontal maturation in girls than in boys. Interestingly, we found frontopolar predominance in slow mean EEG frequency in both hemispheres, even if frontal slow wave activity is found to enhance until adolescence. As with infants, it seems that slower sleep EEG frequencies do not reflect sleep pressure as well as <4 Hz activity in school-aged children either. CONCLUSION Our analysis method suggests that in addition to slow wave activity, EEG frequency analysis might be useful in differentiating between the different sleep related processes in children.
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Affiliation(s)
- Sari-Leena Himanen
- 1 School of Medicine, University of Tampere, Tampere, Finland.,2 Department of Clinical Neurophysiology, Medical Imaging Centre and Hospital Pharmacy, Tampere University Hospital, Tampere, Finland
| | - Eero Huupponen
- 2 Department of Clinical Neurophysiology, Medical Imaging Centre and Hospital Pharmacy, Tampere University Hospital, Tampere, Finland
| | | | - Anna-Maria Lapinlampi
- 2 Department of Clinical Neurophysiology, Medical Imaging Centre and Hospital Pharmacy, Tampere University Hospital, Tampere, Finland
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Korf EM, Mölle M, Born J, Ngo HVV. Blindfolding during wakefulness causes decrease in sleep slow wave activity. Physiol Rep 2017; 5:5/7/e13239. [PMID: 28408638 PMCID: PMC5392525 DOI: 10.14814/phy2.13239] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2017] [Accepted: 03/13/2017] [Indexed: 12/18/2022] Open
Abstract
Slow wave activity (SWA, 0.5–4 Hz) represents the predominant EEG oscillatory activity during slow wave sleep (SWS). Its amplitude is considered in part a reflection of synaptic potentiation in cortical networks due to encoding of information during prior waking, with higher amplitude indicating stronger potentiation. Previous studies showed that increasing and diminishing specific motor behaviors produced corresponding changes in SWA in the respective motor cortical areas during subsequent SWS. Here, we tested whether this relationship can be generalized to the visual system, that is, whether diminishing encoding of visual information likewise leads to a localized decrease in SWA over the visual cortex. Experiments were performed in healthy men whose eyes on two different days were or were not covered for 10.5 h before bedtime. The subject's EEG was recorded during sleep and, after sleep, visual evoked potentials (VEPs) were recorded. SWA during nonrapid eye movement sleep (NonREM sleep) was lower after blindfolding than after eyes open (P < 0.01). The decrease in SWA that was most consistent during the first 20 min of NonREM sleep, did not remain restricted to visual cortex regions, with changes over frontal and parietal cortical regions being even more pronounced. In the morning after sleep, the N75‐P100 peak‐to‐peak‐amplitude of the VEP was significantly diminished in the blindfolded condition. Our findings confirm a link between reduced wake encoding and diminished SWA during ensuing NonREM sleep, although this link appears not to be restricted to sensory cortical areas.
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Affiliation(s)
| | - Matthias Mölle
- Center of Brain, Behavior and Metabolism University of Lübeck, Lübeck, Germany
| | - Jan Born
- Department of Neuroendocrinology, University of Lübeck, Lübeck, Germany .,Institute for Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
| | - Hong-Viet V Ngo
- Institute for Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany .,School of Psychology University of Birmingham, Birmingham, United Kingdom
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Rembado I, Zanos S, Fetz EE. Cycle-Triggered Cortical Stimulation during Slow Wave Sleep Facilitates Learning a BMI Task: A Case Report in a Non-Human Primate. Front Behav Neurosci 2017; 11:59. [PMID: 28450831 PMCID: PMC5390033 DOI: 10.3389/fnbeh.2017.00059] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 03/23/2017] [Indexed: 01/11/2023] Open
Abstract
Slow wave sleep (SWS) has been identified as the sleep stage involved in consolidating newly acquired information. A growing body of evidence has shown that delta (1-4 Hz) oscillatory activity, the characteristic electroencephalographic signature of SWS, is involved in coordinating interaction between the hippocampus and the neocortex and is thought to take a role in stabilizing memory traces related to a novel task. This case report describes a new protocol that uses neuroprosthetics training of a non-human primate to evaluate the effects of surface cortical electrical stimulation triggered from SWS cycles. The results suggest that stimulation phase-locked to SWS oscillatory activity promoted learning of the neuroprosthetic task. This protocol could be used to elucidate mechanisms of synaptic plasticity underlying off-line learning during sleep and offers new insights into the role of brain oscillations in information processing and memory consolidation.
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Affiliation(s)
- Irene Rembado
- Department of Physiology and Biophysics and Washington National Primate Research Center, University of WashingtonSeattle, WA, USA
| | - Stavros Zanos
- Department of Physiology and Biophysics and Washington National Primate Research Center, University of WashingtonSeattle, WA, USA
| | - Eberhard E. Fetz
- Department of Physiology and Biophysics and Washington National Primate Research Center, University of WashingtonSeattle, WA, USA
- Center for Sensorimotor Neural Engineering (NSF ERC), University of WashingtonSeattle, WA, USA
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Automated selective disruption of slow wave sleep. J Neurosci Methods 2017; 281:33-39. [PMID: 28238859 DOI: 10.1016/j.jneumeth.2017.02.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Revised: 01/29/2017] [Accepted: 02/21/2017] [Indexed: 11/23/2022]
Abstract
BACKGROUND Slow wave sleep (SWS) plays an important role in neurophysiologic restoration. Experimentally testing the effect of SWS disruption previously required highly time-intensive and subjective methods. Our goal was to develop an automated and objective protocol to reduce SWS without affecting sleep architecture. NEW METHOD We developed a custom Matlab™ protocol to calculate electroencephalogram spectral power every 10s live during a polysomnogram, exclude artifact, and, if measurements met criteria for SWS, deliver increasingly louder tones through earphones. Middle-aged healthy volunteers (n=10) each underwent 2 polysomnograms, one with the SWS disruption protocol and one with sham condition. RESULTS The SWS disruption protocol reduced SWS compared to sham condition, as measured by spectral power in the delta (0.5-4Hz) band, particularly in the 0.5-2Hz range (mean 20% decrease). A compensatory increase in the proportion of total spectral power in the theta (4-8Hz) and alpha (8-12Hz) bands was seen, but otherwise normal sleep features were preserved. N3 sleep decreased from 20±34 to 3±6min, otherwise there were no significant changes in total sleep time, sleep efficiency, or other macrostructural sleep characteristics. COMPARISON WITH EXISTING METHOD This novel SWS disruption protocol produces specific reductions in delta band power similar to existing methods, but has the advantage of being automated, such that SWS disruption can be performed easily in a highly standardized and operator-independent manner. CONCLUSION This automated SWS disruption protocol effectively reduces SWS without impacting overall sleep architecture.
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Mouthon AL, Meyer-Heim A, Kurth S, Ringli M, Pugin F, van Hedel HJA, Huber R. High-Density Electroencephalographic Recordings During Sleep in Children and Adolescents With Acquired Brain Injury. Neurorehabil Neural Repair 2017; 31:462-474. [PMID: 28162033 DOI: 10.1177/1545968316688794] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Acquired brain injuries (ABI) such as traumatic brain injury (TBI) or stroke can result in motor, language, or cognitive impairments. Although a considerable number of studies have investigated functional recovery, underlying brain reorganization remains poorly understood. Accumulating evidence indicates that plastic processes in the brain are linked to changes in electroencephalographic (EEG) slow wave activity (SWA) during deep sleep (EEG spectral power 1-4.5 Hz). OBJECTIVE We investigated sleep SWA in children and adolescents with ABI. METHODS We used high-density EEG (128 electrodes) to record sleep in 22 young patients with ABI (age range = 4-16 years). We compared patients to 52 previously measured typically developing children and adolescents (age range = 4-16 years). RESULTS The pattern of alterations in SWA differed between particular patient groups. In patients with bilateral stroke, SWA was globally reduced across the entire scalp. Patients with unilateral stroke showed a local reduction in SWA over lesion areas and an increase over perilesional and contralateral brain areas. In patients with severe TBI, we found a reduction in SWA over the midline and an increase over lateral brain areas. We found no consistent pattern in patients with mild to moderate TBI. CONCLUSIONS Sleep SWA seems to be a sensitive measure to assess individual alterations in neural activity after ABI. Deviations from age norms might indirectly indicate plastic processes that have occurred since injury. Improving our understanding of neural activity after ABI could optimize clinical prognosis and guide the development of novel therapeutic interventions.
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Affiliation(s)
- Anne-Laure Mouthon
- 1 Child Development Center and Pediatric Sleep Disorders Center, University Children's Hospital Zurich, Switzerland.,2 Rehabilitation Center Affoltern am Albis, University Children's Hospital Zurich, Switzerland.,3 Children's Research Center, University Children's Hospital Zurich, Switzerland
| | - Andreas Meyer-Heim
- 2 Rehabilitation Center Affoltern am Albis, University Children's Hospital Zurich, Switzerland.,3 Children's Research Center, University Children's Hospital Zurich, Switzerland
| | - Salome Kurth
- 1 Child Development Center and Pediatric Sleep Disorders Center, University Children's Hospital Zurich, Switzerland.,3 Children's Research Center, University Children's Hospital Zurich, Switzerland.,5 Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Maya Ringli
- 1 Child Development Center and Pediatric Sleep Disorders Center, University Children's Hospital Zurich, Switzerland.,3 Children's Research Center, University Children's Hospital Zurich, Switzerland
| | - Fiona Pugin
- 1 Child Development Center and Pediatric Sleep Disorders Center, University Children's Hospital Zurich, Switzerland.,3 Children's Research Center, University Children's Hospital Zurich, Switzerland
| | - Hubertus J A van Hedel
- 2 Rehabilitation Center Affoltern am Albis, University Children's Hospital Zurich, Switzerland.,3 Children's Research Center, University Children's Hospital Zurich, Switzerland
| | - Reto Huber
- 1 Child Development Center and Pediatric Sleep Disorders Center, University Children's Hospital Zurich, Switzerland.,3 Children's Research Center, University Children's Hospital Zurich, Switzerland.,4 Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Switzerland
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Wehrle FM, Latal B, O'Gorman RL, Hagmann CF, Huber R. Sleep EEG maps the functional neuroanatomy of executive processes in adolescents born very preterm. Cortex 2017; 86:11-21. [DOI: 10.1016/j.cortex.2016.10.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 10/03/2016] [Accepted: 10/17/2016] [Indexed: 01/26/2023]
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Association between slow-wave activity, cognition and behaviour in children with sleep-disordered breathing. Sleep Med 2016; 25:49-55. [DOI: 10.1016/j.sleep.2016.06.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Revised: 06/13/2016] [Accepted: 06/14/2016] [Indexed: 11/20/2022]
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Jussila M, Saarenpää-Heikkilä O, Huupponen E, Lapinlampi AM, Penttala J, Himanen SL. Sleep apnea reduces the amount of computational deep sleep in the right frontopolar area in school-aged children. Clin Neurophysiol 2016; 127:2167-74. [DOI: 10.1016/j.clinph.2016.02.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Revised: 02/17/2016] [Accepted: 02/24/2016] [Indexed: 10/22/2022]
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Mouthon AL, van Hedel HJA, Meyer-Heim A, Kurth S, Ringli M, Pugin F, Huber R. High-density electroencephalographic recordings during sleep in children with disorders of consciousness. NEUROIMAGE-CLINICAL 2016; 11:468-475. [PMID: 27104141 PMCID: PMC4827803 DOI: 10.1016/j.nicl.2016.03.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Revised: 02/17/2016] [Accepted: 03/17/2016] [Indexed: 11/20/2022]
Abstract
Introduction A large number of studies have investigated neural correlates of consciousness in adults. However, knowledge about brain function in children with disorders of consciousness (DOC) is very limited. We suggest that EEG recordings during sleep are a promising approach. In healthy adults as well as in children, it has been shown that the activity of sleep slow waves (EEG spectral power 1–4.5 Hz), the primary characteristic of deep sleep, is dependent on use during previous wakefulness. Thus the regulation of slow wave activity (SWA) provides indirect insights into brain function during wakefulness. Methods In the present study, we investigated high-density EEG recordings during sleep in ten healthy children and in ten children with acquired brain injury, including five children with DOC and five children with acquired brain injury without DOC. We used the build-up of SWA to quantify SWA regulation. Results Children with DOC showed a global reduction in the SWA build-up when compared to both, healthy children and children with acquired brain injury without DOC. This reduction was most pronounced over parietal brain areas. Comparisons within the group of children with DOC revealed that the parietal SWA build-up was the lowest in patients showing poor outcome. Longitudinal measurements during the recovery period showed an increase in parietal SWA build-up from the first to the second sleep recording. Conclusions Our results suggest that the reduced parietal SWA regulation may represent a characteristic topographical marker for brain network dysfunction in children with DOC. In the future, the regulation of SWA might be used as a complementary assessment in adult and paediatric patients with DOC. Longitudinal high-density EEG recording in children with disorders of consciousness Sleep electrophysiology provides a marker for brain network dysfunction. The sleep EEG might be used as a complementary assessment in paediatric patients.
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Affiliation(s)
- Anne-Laure Mouthon
- Child Development Centre and Paediatric Sleep Disorders Centre, University Children's Hospital Zurich, Switzerland; Rehabilitation Centre Affoltern am Albis, University Children's Hospital Zurich, Switzerland; Children's Research Centre, University Children's Hospital Zurich, Switzerland
| | - Hubertus J A van Hedel
- Rehabilitation Centre Affoltern am Albis, University Children's Hospital Zurich, Switzerland; Children's Research Centre, University Children's Hospital Zurich, Switzerland
| | - Andreas Meyer-Heim
- Rehabilitation Centre Affoltern am Albis, University Children's Hospital Zurich, Switzerland; Children's Research Centre, University Children's Hospital Zurich, Switzerland
| | - Salome Kurth
- Child Development Centre and Paediatric Sleep Disorders Centre, University Children's Hospital Zurich, Switzerland; Children's Research Centre, University Children's Hospital Zurich, Switzerland; Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Maya Ringli
- Child Development Centre and Paediatric Sleep Disorders Centre, University Children's Hospital Zurich, Switzerland; Children's Research Centre, University Children's Hospital Zurich, Switzerland
| | - Fiona Pugin
- Child Development Centre and Paediatric Sleep Disorders Centre, University Children's Hospital Zurich, Switzerland; Children's Research Centre, University Children's Hospital Zurich, Switzerland
| | - Reto Huber
- Child Development Centre and Paediatric Sleep Disorders Centre, University Children's Hospital Zurich, Switzerland; Children's Research Centre, University Children's Hospital Zurich, Switzerland; University Clinics for Child and Adolescent Psychiatry, University of Zurich, Switzerland.
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Wilson DA, Masiello K, Lewin MP, Hui M, Smiley JF, Saito M. Developmental ethanol exposure-induced sleep fragmentation predicts adult cognitive impairment. Neuroscience 2016; 322:18-27. [PMID: 26892295 DOI: 10.1016/j.neuroscience.2016.02.020] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Revised: 02/08/2016] [Accepted: 02/09/2016] [Indexed: 01/05/2023]
Abstract
Developmental ethanol (EtOH) exposure can lead to long-lasting cognitive impairment, hyperactivity, and emotional dysregulation among other problems. In healthy adults, sleep plays an important role in each of these behavioral manifestations. Here we explored circadian rhythms (activity, temperature) and slow-wave sleep (SWS) in adult mice that had received a single day of EtOH exposure on postnatal day 7 and saline littermate controls. We tested for correlations between slow-wave activity and both contextual fear conditioning and hyperactivity. Developmental EtOH resulted in adult hyperactivity within the home cage compared to controls but did not significantly modify circadian cycles in activity or temperature. It also resulted in reduced and fragmented SWS, including reduced slow-wave bout duration and increased slow-wave/fast-wave transitions over 24-h periods. In the same animals, developmental EtOH exposure also resulted in impaired contextual fear conditioning memory. The impairment in memory was significantly correlated with SWS fragmentation. Furthermore, EtOH-treated animals did not display a post-training modification in SWS which occurred in controls. In contrast to the memory impairment, sleep fragmentation was not correlated with the developmental EtOH-induced hyperactivity. Together these results suggest that disruption of SWS and its plasticity are a secondary contributor to a subset of developmental EtOH exposure's long-lasting consequences.
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Affiliation(s)
- D A Wilson
- Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY, United States; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States.
| | - K Masiello
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
| | - M P Lewin
- Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY, United States; Sackler Neuroscience Graduate Program, NYU School of Medicine, New York, NY, United States
| | - M Hui
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
| | - J F Smiley
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States; Department of Psychiatry, NYU School of Medicine, New York, NY, United States
| | - M Saito
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States; Department of Psychiatry, NYU School of Medicine, New York, NY, United States
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40
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The Yin and Yang of Sleep and Attention. Trends Neurosci 2015; 38:776-786. [PMID: 26602764 DOI: 10.1016/j.tins.2015.10.001] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2015] [Revised: 09/22/2015] [Accepted: 10/18/2015] [Indexed: 11/23/2022]
Abstract
Sleep is not a single state, but a complex set of brain processes that supports several physiological needs. Sleep deprivation is known to affect attention in many animals, suggesting that a key function of sleep is to regulate attention. Conversely, tasks that require more attention drive sleep need and sleep intensity. Attention involves the ability to filter incoming stimuli based on their relative salience, and this is likely to require coordinated synaptic activity across the brain. This capacity may have only become possible with the evolution of related neural mechanisms that support two key sleep functions: stimulus suppression and synaptic plasticity. We argue here that sleep and attention may have coevolved as brain states that regulate each other.
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41
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Sleep variability in adolescence is associated with altered brain development. Dev Cogn Neurosci 2015; 14:16-22. [PMID: 26093368 PMCID: PMC4536158 DOI: 10.1016/j.dcn.2015.05.007] [Citation(s) in RCA: 92] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2015] [Revised: 05/16/2015] [Accepted: 05/20/2015] [Indexed: 12/21/2022] Open
Abstract
Despite the known importance of sleep for brain development, and the sharp increase in poor sleep during adolescence, we know relatively little about how sleep impacts the developing brain. We present the first longitudinal study to examine how sleep during adolescence is associated with white matter integrity. We find that greater variability in sleep duration one year prior to a DTI scan is associated with lower white matter integrity above and beyond the effects of sleep duration, and variability in bedtime, whereas sleep variability a few months prior to the scan is not associated with white matter integrity. Thus, variability in sleep duration during adolescence may have long-term impairments on the developing brain. White matter integrity should be increasing during adolescence, and so sleep variability is directly at odds with normative developmental trends.
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