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Leitner C, Dalle Piagge F, Tomic T, Nozza F, Fasiello E, Castronovo V, De Gennaro L, Baglioni C, Ferini-Strambi L, Galbiati A. Sleep alterations in major depressive disorder and insomnia disorder: A network meta-analysis of polysomnographic studies. Sleep Med Rev 2025; 80:102048. [PMID: 40054014 DOI: 10.1016/j.smrv.2025.102048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 12/23/2024] [Accepted: 01/02/2025] [Indexed: 03/09/2025]
Abstract
Major depressive disorder (MDD) and Insomnia disorder (ID) are characterized by sleep alterations. To define their polysomnographic profiles, we conducted a Network Meta-Analysis comparing MDD and ID patients versus healthy controls (HCs). The literature search, conducted from 2008 up to January 2023 and following PRISMA guidelines, covered PubMed, Web of Science, Scopus, and Embase databases. We addressed publication bias using funnel plot asymmetry inspection and Egger's test, evaluated statistical heterogeneity with I2, and local and global inconsistencies with the separate indirect from direct evidence method and Q between designs, respectively. Pairwise meta-analyses employed a fixed-effects model, while network analysis utilized a random-effect approach. We evaluated 86 ID and 17 MDD studies, comparing sleep parameters for 636 MDDs versus 491 HCs, and 3661 IDs versus 2792 HCs. The network meta-analysis reported that patients with MDD have greater rapid eye movement (REM) sleep duration and REMs density, and lower REM sleep latency compared to IDs. ID patients instead exhibited lower total sleep time and time in bed, and greater wake after sleep onset and non-REM sleep stage 3 than MDD patients. This work emphasized sleep depth and continuity alterations in both MDD and ID, with major involvement of REM sleep in MDD.
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Affiliation(s)
- Caterina Leitner
- "Vita-Salute" San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, Milan, Italy
| | | | - Tijana Tomic
- "Vita-Salute" San Raffaele University, Milan, Italy
| | | | - Elisabetta Fasiello
- "Vita-Salute" San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, Milan, Italy
| | - Vincenza Castronovo
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, Milan, Italy
| | - Luigi De Gennaro
- Body and Action Lab, IRCCS Fondazione Santa Lucia, Rome, Italy; Department of Psychology, University of Rome Sapienza, Rome, Italy
| | - Chiara Baglioni
- Human Sciences Department, University of Rome Guglielmo Marconi Rome, Rome, Italy
| | - Luigi Ferini-Strambi
- "Vita-Salute" San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, Milan, Italy
| | - Andrea Galbiati
- "Vita-Salute" San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, Milan, Italy.
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Adam T, Tanty J, Barateau L, Dauvilliers Y. Actigraphy against 32-hour polysomnography in patients with suspected idiopathic hypersomnia. J Sleep Res 2025:e70007. [PMID: 39979124 DOI: 10.1111/jsr.70007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Revised: 01/14/2025] [Accepted: 01/29/2025] [Indexed: 02/22/2025]
Abstract
Actigraphy, a tool known for investigating sleep-wake patterns at home, lacks scientific validation in hypersomnolent subjects. We aim to validate an actigraphy-based sleep-wake prediction algorithm against 32-h continuous polysomnography in patients with suspected idiopathic hypersomnia, and to compare its performance to predict sleep-wake parameters assessed by polysomnography with those of a commercially available algorithm. Two hundred and six hypersomnolent subjects were included prospectively in a Reference Centre for Hypersomnias, and underwent a 32-h bedrest protocol, wearing wrist-actigraphy, to diagnose idiopathic hypersomnia. Among them, 126 patients (91 females, 30.6 ± 15.5 years, 101 idiopathic hypersomnia, 25 non-specified hypersomnia) with synchronised actigraphy and polysomnography were analysed. Age, sex, and Epworth Sleepiness Scale scores were collected. We trained various supervised algorithms and selected a recurrent neural network (S2S sequence-to-sequence long short-term memory network) for comparison with Actiwatch Software (AS) on sleep-wake variables and prediction errors during daytime and nighttime. S2S outperformed AS across all relevant metrics, and Bland-Altman analysis showed disagreement between the two algorithms. S2S had a lower absolute error than AS. AS mainly overestimated sleep, an overestimation that was substantially reduced with S2S, overall as well as during day and night. Performance was not correlated with age, sex, or subjective sleepiness, but objective sleepiness and longer sleep time on the bedrest were associated with sleep underestimation. Our S2S algorithm using deep learning performed better to predict sleep-wake parameters than AS and other commonly used algorithms. The next objective is to leverage this algorithm to study sleep-wake patterns in patients with hypersomnolence at home.
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Affiliation(s)
- Tugdual Adam
- Institute of Neurosciences of Montpellier (INM), University of Montpellier, INSERM, Montpellier, France
- Sleep-Wake Disorders Unit, Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier, Montpellier, France
| | - Jérôme Tanty
- Sleep-Wake Disorders Unit, Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier, Montpellier, France
| | - Lucie Barateau
- Institute of Neurosciences of Montpellier (INM), University of Montpellier, INSERM, Montpellier, France
- Sleep-Wake Disorders Unit, Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier, Montpellier, France
- National Reference Centre for Orphan Diseases, Narcolepsy, Idiopathic Hypersomnia, and Kleine-Levin Syndrome, Montpellier, France
| | - Yves Dauvilliers
- Institute of Neurosciences of Montpellier (INM), University of Montpellier, INSERM, Montpellier, France
- Sleep-Wake Disorders Unit, Department of Neurology, Gui-de-Chauliac Hospital, CHU Montpellier, Montpellier, France
- National Reference Centre for Orphan Diseases, Narcolepsy, Idiopathic Hypersomnia, and Kleine-Levin Syndrome, Montpellier, France
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3
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de Zambotti M, Goldstein C, Cook J, Menghini L, Altini M, Cheng P, Robillard R. State of the science and recommendations for using wearable technology in sleep and circadian research. Sleep 2024; 47:zsad325. [PMID: 38149978 DOI: 10.1093/sleep/zsad325] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/21/2023] [Indexed: 12/28/2023] Open
Abstract
Wearable sleep-tracking technology is of growing use in the sleep and circadian fields, including for applications across other disciplines, inclusive of a variety of disease states. Patients increasingly present sleep data derived from their wearable devices to their providers and the ever-increasing availability of commercial devices and new-generation research/clinical tools has led to the wide adoption of wearables in research, which has become even more relevant given the discontinuation of the Philips Respironics Actiwatch. Standards for evaluating the performance of wearable sleep-tracking devices have been introduced and the available evidence suggests that consumer-grade devices exceed the performance of traditional actigraphy in assessing sleep as defined by polysomnogram. However, clear limitations exist, for example, the misclassification of wakefulness during the sleep period, problems with sleep tracking outside of the main sleep bout or nighttime period, artifacts, and unclear translation of performance to individuals with certain characteristics or comorbidities. This is of particular relevance when person-specific factors (like skin color or obesity) negatively impact sensor performance with the potential downstream impact of augmenting already existing healthcare disparities. However, wearable sleep-tracking technology holds great promise for our field, given features distinct from traditional actigraphy such as measurement of autonomic parameters, estimation of circadian features, and the potential to integrate other self-reported, objective, and passively recorded health indicators. Scientists face numerous decision points and barriers when incorporating traditional actigraphy, consumer-grade multi-sensor devices, or contemporary research/clinical-grade sleep trackers into their research. Considerations include wearable device capabilities and performance, target population and goals of the study, wearable device outputs and availability of raw and aggregate data, and data extraction, processing, and analysis. Given the difficulties in the implementation and utilization of wearable sleep-tracking technology in real-world research and clinical settings, the following State of the Science review requested by the Sleep Research Society aims to address the following questions. What data can wearable sleep-tracking devices provide? How accurate are these data? What should be taken into account when incorporating wearable sleep-tracking devices into research? These outstanding questions and surrounding considerations motivated this work, outlining practical recommendations for using wearable technology in sleep and circadian research.
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Affiliation(s)
- Massimiliano de Zambotti
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
- Lisa Health Inc., Oakland, CA, USA
| | - Cathy Goldstein
- Sleep Disorders Center, Department of Neurology, University of Michigan-Ann Arbor, Ann Arbor, MI, USA
| | - Jesse Cook
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
| | - Luca Menghini
- Department of Psychology and Cognitive Science, University of Trento, Trento, Italy
| | - Marco Altini
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Philip Cheng
- Sleep Disorders and Research Center, Henry Ford Health, Detroit, MI, USA
| | - Rebecca Robillard
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
- Canadian Sleep Research Consortium, Canada
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4
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Wang J, Zhao H, Shi K, Wang M. Treatment of insomnia based on the mechanism of pathophysiology by acupuncture combined with herbal medicine: A review. Medicine (Baltimore) 2023; 102:e33213. [PMID: 36930068 PMCID: PMC10019201 DOI: 10.1097/md.0000000000033213] [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] [Received: 01/24/2023] [Accepted: 02/15/2023] [Indexed: 03/18/2023] Open
Abstract
Insomnia is a sleep disorder which severely affects patients mood, quality of life and social functioning, serves as a trigger or risk factor to a variety of diseases such as depression, cardiovascular and cerebrovascular diseases, obesity and diabetes, and even increases the risk of suicide, and has become an increasingly widespread concern worldwide. Considerable research on insomnia has been conducted in modern medicine in recent years and encouraging results have been achieved in the fields of genetics and neurobiology. Unfortunately, however, the pathogenesis of insomnia remains elusive to modern medicine, and pharmacological treatment of insomnia has been regarded as conventional. However, in the course of treatment, pharmacological treatment itself is increasingly being questioned due to potential dependence and drug resistance and is now being replaced by cognitive behavior therapy as the first-line treatment. As an important component of complementary and alternative medicine, traditional Chinese medicine, especially non-pharmacological treatment methods such as acupuncture, is gaining increasing attention worldwide. In this article, we discuss the combination of traditional Chinese medicine, acupuncture, and medicine to treat insomnia based on neurobiology in the context of modern medicine.
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Affiliation(s)
- Jie Wang
- Department of Pain, Datong Hospital of Traditional Chinese Medicine, Shanxi Province, Datong, China
| | - Haishen Zhao
- Department of Rehabilitation, Luchaogang Community Health Service Center, Pudong New District, Shanghai, China
| | - Kejun Shi
- Department of Rehabilitation, Luchaogang Community Health Service Center, Pudong New District, Shanghai, China
| | - Manya Wang
- Department of Rehabilitation, Luchaogang Community Health Service Center, Pudong New District, Shanghai, China
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5
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Rösler L, van der Lande G, Leerssen J, Cox R, Ramautar JR, van Someren EJW. Actigraphy in studies on insomnia: Worth the effort? J Sleep Res 2023; 32:e13750. [PMID: 36217775 PMCID: PMC10078209 DOI: 10.1111/jsr.13750] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 09/19/2022] [Accepted: 09/21/2022] [Indexed: 02/03/2023]
Abstract
In the past decades, actigraphy has emerged as a promising, cost-effective, and easy-to-use tool for ambulatory sleep recording. Polysomnography (PSG) validation studies showed that actigraphic sleep estimates fare relatively well in healthy sleepers. Additionally, round-the-clock actigraphy recording has been used to study circadian rhythms in various populations. To this date, however, there is little evidence that the diagnosis, monitoring, or treatment of insomnia can significantly benefit from actigraphy recordings. Using a case-control design, we therefore critically examined whether mean or within-subject variability of actigraphy sleep estimates or circadian patterns add to the understanding of sleep complaints in insomnia. We acquired actigraphy recordings and sleep diaries of 37 controls and 167 patients with varying degrees of insomnia severity for up to 9 consecutive days in their home environment. Additionally, the participants spent one night in the laboratory, where actigraphy was recorded alongside PSG to check whether sleep, in principle, is well estimated. Despite moderate to strong agreement between actigraphy and PSG sleep scoring in the laboratory, ambulatory actigraphic estimates of average sleep and circadian rhythm variables failed to successfully differentiate patients with insomnia from controls in the home environment. Only total sleep time differed between the groups. Additionally, within-subject variability of sleep efficiency and wake after sleep onset was higher in patients. Insomnia research may therefore benefit from shifting attention from average sleep variables to day-to-day variability or from the development of non-motor home-assessed indicators of sleep quality.
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Affiliation(s)
- Lara Rösler
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Glenn van der Lande
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Jeanne Leerssen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.,Departments of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
| | - Roy Cox
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Jennifer R Ramautar
- Department of Child and Adolescent Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Eus J W van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.,Departments of Integrative Neurophysiology and Psychiatry, Center for Neurogenomics and Cognitive Research, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
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6
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Liguori C, Mombelli S, Fernandes M, Zucconi M, Plazzi G, Ferini-Strambi L, Logroscino G, Mercuri NB, Filardi M. The evolving role of quantitative actigraphy in clinical sleep medicine. Sleep Med Rev 2023; 68:101762. [PMID: 36773596 DOI: 10.1016/j.smrv.2023.101762] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 01/23/2023] [Accepted: 01/23/2023] [Indexed: 01/30/2023]
Abstract
Actigraphy has a consolidated role in Insomnia and Circadian Rhythm Sleep-Wake Disorders (CRSWD) and recent studies have highlighted the use of actigraphy for narcolepsy and REM sleep behaviour disorder (RBD). This review aims at summarising the results of studies published over the last decade regarding the use of actigraphy. Thirty-five studies proved eligible, and results were analysed separately for insomnia, narcolepsy and RBD. Actigraphy showed to consistently differentiate insomnia patients from healthy controls. Furthermore, the application of advanced analytical techniques has been shown to provide both unique insights into the physiology of insomnia and sleep misperception and to improve the specificity of actigraphy in detecting wakefulness within sleep periods. Regarding narcolepsy, several studies showed that actigraphy can detect peculiar sleep/wake disruption and the effects of pharmacological treatments. Finally, although the number of studies in RBD patients is still limited, the available evidence indicates a reduced amplitude of the activity pattern, sleep-wake rhythm dysregulation and daytime sleepiness. Therefore, the potential use of these markers as predictors of phenoconversion should be further explored. In conclusion, quantitative actigraphy presents a renewed interest when considering the possibility of using actigraphy in clinical sleep medicine to diagnose, monitor, and follow sleep disorders other than CRSWD.
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Affiliation(s)
- Claudio Liguori
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy; Sleep Medicine Centre, Neurology Unit, University Hospital of Rome Tor Vergata, Rome, Italy.
| | - Samantha Mombelli
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, Milan, Italy
| | - Mariana Fernandes
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Marco Zucconi
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, Milan, Italy
| | - Giuseppe Plazzi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; IRCCS Institute of Neurological Sciences, Bologna, Italy
| | - Luigi Ferini-Strambi
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, Milan, Italy; "Vita-Salute" San Raffaele University, Milan, Italy
| | - Giancarlo Logroscino
- Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy; Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro at Pia Fondazione "Card. G. Panico", Italy
| | - Nicola Biagio Mercuri
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy; Sleep Medicine Centre, Neurology Unit, University Hospital of Rome Tor Vergata, Rome, Italy
| | - Marco Filardi
- Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy; Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro at Pia Fondazione "Card. G. Panico", Italy
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7
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Rösler L, van der Lande G, Leerssen J, Vandegriffe AG, Lakbila-Kamal O, Foster-Dingley JC, Albers ACW, van Someren EJW. Combining cardiac monitoring with actigraphy aids nocturnal arousal detection during ambulatory sleep assessment in insomnia. Sleep 2022; 45:zsac031. [PMID: 35554586 PMCID: PMC9113014 DOI: 10.1093/sleep/zsac031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 10/15/2021] [Indexed: 11/29/2022] Open
Abstract
STUDY OBJECTIVES The objective assessment of insomnia has remained difficult. Multisensory devices collecting heart rate (HR) and motion are regarded as the future of ambulatory sleep monitoring. Unfortunately, reports on altered average HR or heart rate variability (HRV) during sleep in insomnia are equivocal. Here, we evaluated whether the objective quantification of insomnia improves by assessing state-related changes in cardiac measures. METHODS We recorded electrocardiography, posture, and actigraphy in 33 people without sleep complaints and 158 patients with mild to severe insomnia over 4 d in their home environment. At the microscale, we investigated whether HR changed with proximity to gross (body) and small (wrist) movements at nighttime. At the macroscale, we calculated day-night differences in HR and HRV measures. For both timescales, we tested whether outcome measures were related to insomnia diagnosis and severity. RESULTS At the microscale, an increase in HR was often detectable already 60 s prior to as well as following a nocturnal chest, but not wrist, movement. This increase was slightly steeper in insomnia and was associated with insomnia severity, but future EEG recordings are necessary to elucidate whether these changes occur prior to or simultaneously with PSG-indicators of wakefulness. At the macroscale, we found an attenuated cardiac response to sleep in insomnia: patients consistently showed smaller day-night differences in HR and HRV. CONCLUSIONS Incorporating state-related changes in cardiac features in the ambulatory monitoring of sleep might provide a more sensitive biomarker of insomnia than the use of cardiac activity averages or actigraphy alone.
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Affiliation(s)
- Lara Rösler
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands
| | - Glenn van der Lande
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands
| | - Jeanne Leerssen
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands
| | - Austin G Vandegriffe
- Department of Mathematics and Statistics, Missouri University of Science and Technology, Rolla, MO,USA
| | - Oti Lakbila-Kamal
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands
| | - Jessica C Foster-Dingley
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands
| | - Anne C W Albers
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands
| | - Eus J W van Someren
- Netherlands Institute for Neuroscience, Department of Sleep and Cognition, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology and Psychiatry, Center for Neurogenomics and Cognitive Research, VU University, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
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8
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Sanchez REA, Wrede JE, Watson RS, de la Iglesia HO, Dervan LA. Actigraphy in mechanically ventilated pediatric ICU patients: comparison to PSG and evaluation of behavioral circadian rhythmicity. Chronobiol Int 2021; 39:117-128. [PMID: 34634983 DOI: 10.1080/07420528.2021.1987451] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Sleep disruption is common in pediatric intensive care unit (PICU) patients, but measuring sleep in this population is challenging. We aimed to evaluate the utility of actigraphy for estimating circadian rhythmicity in mechanically ventilated PICU patients and its accuracy for measuring sleep by comparing it to polysomnogram (PSG). We conducted a single-center prospective observational study of children 6 months - 17 years of age receiving mechanical ventilation and standard, protocolized sedation for acute respiratory failure, excluding children with acute or historical neurologic injury. We enrolled 16 children and monitored them with up to 14 days of actigraphy and 24 hours of simultaneous limited (10 channel) PSG. Daily actigraphy-based activity profiles demonstrated that patients had a high level of nighttime activity (30-41% of total activity), suggesting disrupted circadian activity cycles. Among n = 12 patients with sufficient actigraphy and PSG data overlap, actigraphy-based sleep estimation showed poor agreement with PSG-identified sleep states, with good sensitivity (94%) but poor specificity (28%), low accuracy (70%,) and low agreement (Cohen's kappa = 0.2, 95% CI = 0.08-0.31). Using univariate linear regression, we identified that Cornell Assessment of Pediatric Delirium scores were associated with accuracy of actigraphy but that other clinical factors including sedative medication doses, activity levels, and restraint use were not. In this population, actigraphy did not reliably discern between sleep and wake states. However, in select patients, actigraphy was able to distinguish diurnal variation in activity patterns, and therefore may be useful for evaluating patients' response to circadian-oriented interventions.
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Affiliation(s)
| | - Joanna E Wrede
- Division of Pulmonary and Sleep Medicine, Department of Pediatrics, University of Washington, Seattle, Washington, USA.,Division of Pediatric Neurology, Department of Neurology, University of Washington, Seattle, Washington, USA
| | - R Scott Watson
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, Washington, USA.,Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Horacio O de la Iglesia
- Department of Biology, University of Washington, Seattle, Washington, USA.,Graduate Program in Neuroscience, University of Washington, Seattle, Washington, USA
| | - Leslie A Dervan
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, Washington, USA.,Center for Clinical and Translational Research, Seattle Children's Research Institute, Seattle, Washington, USA
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9
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Van Someren EJW. Brain mechanisms of insomnia: new perspectives on causes and consequences. Physiol Rev 2020; 101:995-1046. [PMID: 32790576 DOI: 10.1152/physrev.00046.2019] [Citation(s) in RCA: 239] [Impact Index Per Article: 47.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
While insomnia is the second most common mental disorder, progress in our understanding of underlying neurobiological mechanisms has been limited. The present review addresses the definition and prevalence of insomnia and explores its subjective and objective characteristics across the 24-hour day. Subsequently, the review extensively addresses how the vulnerability to develop insomnia is affected by genetic variants, early life stress, major life events, and brain structure and function. Further supported by the clear mental health risks conveyed by insomnia, the integrated findings suggest that the vulnerability to develop insomnia could rather be found in brain circuits regulating emotion and arousal than in circuits involved in circadian and homeostatic sleep regulation. Finally, a testable model is presented. The model proposes that in people with a vulnerability to develop insomnia, the locus coeruleus is more sensitive to-or receives more input from-the salience network and related circuits, even during rapid eye movement sleep, when it should normally be sound asleep. This vulnerability may ignite a downward spiral of insufficient overnight adaptation to distress, resulting in accumulating hyperarousal, which, in turn, impedes restful sleep and moreover increases the risk of other mental health adversity. Sensitized brain circuits are likely to be subjectively experienced as "sleeping with one eye open". The proposed model opens up the possibility for novel intervention studies and animal studies, thus accelerating the ignition of a neuroscience of insomnia, which is direly needed for better treatment.
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Affiliation(s)
- Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands; Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit University Amsterdam, Amsterdam, The Netherlands; and Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
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