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Fasiello E, Gorgoni M, Galbiati A, Sforza M, Berra F, Scarpelli S, Alfonsi V, Annarumma L, Casoni F, Zucconi M, Castronovo V, Ferini-Strambi L, De Gennaro L. Decreased Delta/Beta ratio index as the sleep state-independent electrophysiological signature of sleep state misperception in Insomnia disorder: A focus on the sleep onset and the whole night. Neuroimage 2024; 298:120782. [PMID: 39128660 DOI: 10.1016/j.neuroimage.2024.120782] [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: 04/28/2024] [Revised: 08/02/2024] [Accepted: 08/08/2024] [Indexed: 08/13/2024] Open
Abstract
PURPOSE Sleep State Misperception (SSM) is described as the tendency of Insomnia Disorder (ID) patients to overestimate Sleep Latency (SL) and underestimate Total Sleep Time (TST). Literature exploring topographical components in ID with SSM is scarce and does not allow us to fully understand the potential mechanisms underlying this phenomenon. This study aims to evaluate the existence of sleep EEG topography alterations in ID patients associated with SSM compared to Healthy Controls (HC), focusing on two distinct periods: the Sleep Onset (SO) and the whole night. METHODS Twenty ID patients (mean age: 43.5 ± 12.7; 7 M/13F) and 18 HCs (mean age: 41.6 ± 11.9; 8 M/10F) underwent a night of Polysomnography (PSG) and completed sleep diaries the following morning upon awakening. Two SSM indices, referring to the misperception of SL (SLm) and TST (TSTm), were calculated by comparing objective and subjective sleep indices extracted by PSG and sleep diary. According to these indices, the entire sample was split into 4 sub-groups: ID +SLm vs HC -SLm; ID +TSTm vs HC -TSTm. RESULTS Considering the SO, the two-way mixed-design ANOVA showed a significant main effect of Groups pointing to a decreased delta/beta ratio in the whole scalp topography. Moreover, we found a significant interaction effect for the sigma and beta bands. Post Hoc tests showed higher sigma and beta power in anterior and temporo-parietal sites during the SO period in IDs +SLm compared to HC -SLm. Considering the whole night, the unpaired t-test revealed in IDs +TSTm significantly lower delta power during NREM, and lower delta/beta ratio index during NREM and REM sleep compared to HCs -TSTm. Finally, we found diffuse significant negative correlations between SSM indices and the delta/beta ratio during SO, NREM, and REM sleep. CONCLUSION The main finding of the present study suggests that higher SL overestimation and TST underestimation are both phenomena related to diffuse cortical hyperarousal interpreted as a sleep state-independent electrophysiological correlate of the SSM, both during the SO and the whole night.
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Affiliation(s)
- Elisabetta Fasiello
- Faculty of Psychology, Vita-Salute San Raffaele University, Via Olgettina 60, 20132, Milan, Italy; Department of Clinical Neurosciences, Neurology-Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy.
| | - Maurizio Gorgoni
- Department of Psychology, University of Rome Sapienza, Via dei Marsi, 78, 00185, Rome, Italy; Body and Action Lab, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Andrea Galbiati
- Faculty of Psychology, Vita-Salute San Raffaele University, Via Olgettina 60, 20132, Milan, Italy; Department of Clinical Neurosciences, Neurology-Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Marco Sforza
- Faculty of Psychology, Vita-Salute San Raffaele University, Via Olgettina 60, 20132, Milan, Italy; Department of Clinical Neurosciences, Neurology-Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Francesca Berra
- Faculty of Psychology, Vita-Salute San Raffaele University, Via Olgettina 60, 20132, Milan, Italy; Department of Clinical Neurosciences, Neurology-Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Serena Scarpelli
- Department of Psychology, University of Rome Sapienza, Via dei Marsi, 78, 00185, Rome, Italy
| | - Valentina Alfonsi
- Department of Psychology, University of Rome Sapienza, Via dei Marsi, 78, 00185, Rome, Italy
| | - Ludovica Annarumma
- Department of Psychology, University of Rome Sapienza, Via dei Marsi, 78, 00185, Rome, Italy
| | - Francesca Casoni
- Department of Clinical Neurosciences, Neurology-Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Marco Zucconi
- Department of Clinical Neurosciences, Neurology-Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Vincenza Castronovo
- Department of Clinical Neurosciences, Neurology-Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Luigi Ferini-Strambi
- Faculty of Psychology, Vita-Salute San Raffaele University, Via Olgettina 60, 20132, Milan, Italy; Department of Clinical Neurosciences, Neurology-Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Luigi De Gennaro
- Department of Psychology, University of Rome Sapienza, Via dei Marsi, 78, 00185, Rome, Italy; Body and Action Lab, IRCCS Fondazione Santa Lucia, Rome, Italy
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Perrault AA, Kebets V, Kuek NMY, Cross NE, Tesfaye R, Pomares FB, Li J, Chee MWL, Dang-Vu TT, Yeo BTT. A multidimensional investigation of sleep and biopsychosocial profiles with associated neural signatures. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.15.580583. [PMID: 38559143 PMCID: PMC10979931 DOI: 10.1101/2024.02.15.580583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Sleep is essential for optimal functioning and health. Interconnected to multiple biological, psychological and socio-environmental factors (i.e., biopsychosocial factors), the multidimensional nature of sleep is rarely capitalized on in research. Here, we deployed a data-driven approach to identify sleep-biopsychosocial profiles that linked self-reported sleep patterns to inter-individual variability in health, cognition, and lifestyle factors in 770 healthy young adults. We uncovered five profiles, including two profiles reflecting general psychopathology associated with either reports of general poor sleep or an absence of sleep complaints (i.e., sleep resilience) respectively. The three other profiles were driven by the use of sleep aids and social satisfaction, sleep duration and cognitive performance, and sleep disturbance linked to cognition and mental health. Furthermore, identified sleep-biopsychosocial profiles displayed unique patterns of brain network organization. In particular, somatomotor network connectivity alterations were involved in the relationships between sleep and biopsychosocial factors. These profiles can potentially untangle the interplay between individuals' variability in sleep, health, cognition and lifestyle - equipping research and clinical settings to better support individual's well-being.
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Maltezos A, Perrault AA, Walsh NA, Phillips EM, Gong K, Tarelli L, Smith D, Cross NE, Pomares FB, Gouin JP, Dang-Vu TT. Methodological approach to sleep state misperception in insomnia disorder: Comparison between multiple nights of actigraphy recordings and a single night of polysomnography recording. Sleep Med 2024; 115:21-29. [PMID: 38325157 DOI: 10.1016/j.sleep.2024.01.027] [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: 09/05/2023] [Revised: 12/11/2023] [Accepted: 01/28/2024] [Indexed: 02/09/2024]
Abstract
STUDY OBJECTIVE To provide a comprehensive assessment of sleep state misperception in insomnia disorder (INS) and good sleepers (GS) by comparing recordings performed for one night in-lab (PSG and night review) and during several nights at-home (actigraphy and sleep diaries). METHODS Fifty-seven INS and 29 GS wore an actigraphy device and filled a sleep diary for two weeks at-home. They subsequently completed a PSG recording and filled a night review in-lab. Sleep perception index (subjective/objective × 100) of sleep onset latency (SOL), sleep duration (TST) and wake duration (TST) were computed and compared between methods and groups. RESULTS GS displayed a tendency to overestimate TST and WASO but correctly perceived SOL. The degree of misperception was similar across methods within the GS group. In contrast, INS underestimated their TST and overestimated their SOL both in-lab and at-home, yet the severity of misperception of SOL was larger at-home than in-lab. Finally, INS overestimated WASO only in-lab while correctly perceiving it at-home. While only the degree of TST misperception was stable across methods in INS, misperception of SOL and WASO were dependent on the method used. CONCLUSIONS We found that GS and INS exhibit opposite patterns and severity of sleep misperception. While the degree of misperception in GS was similar across methods, only sleep duration misperception was reliably detected by both in-lab and at-home methods in INS. Our results highlight that, when assessing sleep misperception in insomnia disorder, the environment and method of data collection should be carefully considered.
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Affiliation(s)
- Antonia Maltezos
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Neuroscience, Université de Montreal, Montreal, QC, Canada
| | - Aurore A Perrault
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada.
| | - Nyissa A Walsh
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Emma-Maria Phillips
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Neuroscience, Université de Montreal, Montreal, QC, Canada
| | - Kirsten Gong
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Lukia Tarelli
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Dylan Smith
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
| | - Nathan E Cross
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada
| | - Florence B Pomares
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada
| | - Jean-Philippe Gouin
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Psychology & Centre for Clinical Research in Health, Concordia University, Montreal, QC, Canada
| | - Thien Thanh Dang-Vu
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l'Ile-de-Montréal, QC, Canada; Department of Neuroscience, Université de Montreal, Montreal, QC, Canada.
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Spina MA, Bei B, Rajaratnam SW, Krystal A, Edinger JD, Buysse DJ, Thase M, Manber R. Cognitive behavioural therapy for insomnia reduces actigraphy and diary measured sleep discrepancy for individuals with comorbid insomnia and major depressive disorder: A report from the TRIAD study. Sleep Med 2024; 114:137-144. [PMID: 38183804 DOI: 10.1016/j.sleep.2023.12.014] [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: 12/13/2022] [Revised: 11/27/2023] [Accepted: 12/17/2023] [Indexed: 01/08/2024]
Abstract
OBJECTIVE/BACKGROUND Discrepancies between sleep diaries and actigraphy occur among individuals with insomnia. Cognitive behavioural therapy for insomnia (CBT-I) improves insomnia but the impact on discrepancy is unclear. This study examined CBT-I's effects on actigraphy-diary discrepancy and explored sleep-related beliefs and attitudes as a mediator. PATIENTS/METHODS Participants were 108 (age M±SD = 47.23 ± 12.42, 67.60 % female) adults with insomnia and major depressive disorder from the Treatment of Insomnia and Depression study. They were randomized to 7 sessions of CBT-I or sham Quasi-Desensitization Therapy for Insomnia (DTI), plus 16 weeks of antidepressants. Two weeks of actigraphy and sleep diary were collected at baseline, mid-treatment, end-treatment. Differences between sleep diary and actigraphy total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), and sleep efficiency (SE) were calculated. Participants completed Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS) at baseline and mid-treatment. RESULTS At baseline, diary (versus actigraphy) TST was shorter (1.1 ± 1.41h), whilst SOL (21.64 ± 41.25min) and WASO (17.45 ± 61.99min) were longer. Mixed effects models using daily data showed that after adjusting for age and sex, participants in the CBT-I group (versus DTI) showed greater reduction in all actigraphy-diary discrepancy domains (all p-values<.01), reductions evident from mid-treatment. Group differences on actigraphy-diary discrepancy reductions in TST, SOL, and SE (not WASO) were mediated by changes in DBAS from baseline to mid-treatment (all p-values<.05). Changes in discrepancy did not mediate insomnia symptom changes (p-values>.39). CONCLUSIONS CBT-I reduced actigraphy-diary discrepancy in individuals with comorbid insomnia and depression; this reduction was associated with improved sleep-related attitudes, a therapeutic target of CBT-I. CLINICAL TRIAL REGISTRATION TRIAD (Treatment of Insomnia and Depression): Improving Depression Outcome by Adding Insomnia Therapy to Antidepressants. Prospectively registered with Clinical Trials (NCT00767624). SUPPORT (IF ANY) MH078924, MH078961, MH079256.
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Affiliation(s)
- Marie-Antoinette Spina
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia
| | - Bei Bei
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia.
| | - Shanthakumar W Rajaratnam
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia
| | - Andrew Krystal
- School of Medicine, University of California, San Francisco, CA, USA
| | - Jack D Edinger
- Department of Medicine, National Jewish Health, Denver, CO, USA
| | | | - Michael Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Rachel Manber
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
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5
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Berra F, Fasiello E, Zucconi M, Casoni F, De Gennaro L, Ferini-Strambi L, Galbiati A. Neurophysiological Parameters Influencing Sleep-Wake Discrepancy in Insomnia Disorder: A Preliminary Analysis on Alpha Rhythm during Sleep Onset. Brain Sci 2024; 14:97. [PMID: 38275517 PMCID: PMC10813212 DOI: 10.3390/brainsci14010097] [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: 12/07/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
Sleep state misperception (SSM) is a common issue in insomnia disorder (ID), causing a discrepancy between objective and subjective sleep/wake time estimation and increased daytime impairments. In this context, the hyperarousal theory assumes that sustained central nervous system activation contributes to the SSM. This study investigates factors influencing SSM during sleep latency (SL) and total sleep time (TST). Objective polysomnographic sleep variables (the alpha density index, latency-to-sleep stages and the first K-complex, and Rapid Eye Movement (REM) arousal density) and subjective sleep indices, taken from sleep diaries, were analyzed in 16 ID patients. Correlation analyses revealed a positive association between the degree of SL misperception (SLm) and the percentage of epochs that contained a visually scored stereotyped alpha rhythm during objective SL. A regression analysis showed that the REM arousal density and alpha density index significantly predicted TST misperception (TSTm). Furthermore, the degree of SLm was associated with an increased probability of transitioning from stage 1 of non-REM sleep to wakefulness during subjective SL. These findings support the role of hyperarousal in SSM and highlight the importance of alpha activity in unravelling the heterogeneous underpinnings of SSM.
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Affiliation(s)
- Francesca Berra
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Elisabetta Fasiello
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Marco Zucconi
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Francesca Casoni
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Luigi De Gennaro
- Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy;
- Body and Action Lab, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy
| | - Luigi Ferini-Strambi
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
| | - Andrea Galbiati
- Department of Psychology, “Vita-Salute” San Raffaele University, 20132 Milan, Italy; (F.B.); (E.F.); (L.F.-S.)
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology–Sleep Disorders Center, 20132 Milan, Italy; (M.Z.); (F.C.)
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6
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Franken P, Dijk DJ. Sleep and circadian rhythmicity as entangled processes serving homeostasis. Nat Rev Neurosci 2024; 25:43-59. [PMID: 38040815 DOI: 10.1038/s41583-023-00764-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/19/2023] [Indexed: 12/03/2023]
Abstract
Sleep is considered essential for the brain and body. A predominant concept is that sleep is regulated by circadian rhythmicity and sleep homeostasis, processes that were posited to be functionally and mechanistically separate. Here we review and re-evaluate this concept and its assumptions using findings from recent human and rodent studies. Alterations in genes that are central to circadian rhythmicity affect not only sleep timing but also putative markers of sleep homeostasis such as electroencephalogram slow-wave activity (SWA). Perturbations of sleep change the rhythmicity in the expression of core clock genes in tissues outside the central clock. The dynamics of recovery from sleep loss vary across sleep variables: SWA and immediate early genes show an early response, but the recovery of non-rapid eye movement and rapid eye movement sleep follows slower time courses. Changes in the expression of many genes in response to sleep perturbations outlast the effects on SWA and time spent asleep. These findings are difficult to reconcile with the notion that circadian- and sleep-wake-driven processes are mutually independent and that the dynamics of sleep homeostasis are reflected in a single variable. Further understanding of how both sleep and circadian rhythmicity contribute to the homeostasis of essential physiological variables may benefit from the assessment of multiple sleep and molecular variables over longer time scales.
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Affiliation(s)
- Paul Franken
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
| | - Derk-Jan Dijk
- Surrey Sleep Research Centre, University of Surrey, Guildford, UK.
- UK Dementia Research Institute, Care Research and Technology Centre, Imperial College London and the University of Surrey, Guildford, UK.
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7
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Somervail R, Cataldi J, Stephan AM, Siclari F, Iannetti GD. Dusk2Dawn: an EEGLAB plugin for automatic cleaning of whole-night sleep electroencephalogram using Artifact Subspace Reconstruction. Sleep 2023; 46:zsad208. [PMID: 37542730 DOI: 10.1093/sleep/zsad208] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 07/20/2023] [Indexed: 08/07/2023] Open
Abstract
Whole-night sleep electroencephalogram (EEG) is plagued by several types of large-amplitude artifacts. Common approaches to remove them are fraught with issues: channel interpolation, rejection of noisy intervals, and independent component analysis are time-consuming, rely on subjective user decisions, and result in signal loss. Artifact Subspace Reconstruction (ASR) is an increasingly popular approach to rapidly and automatically clean wake EEG data. Indeed, ASR adaptively removes large-amplitude artifacts regardless of their scalp topography or consistency throughout the recording. This makes ASR, at least in theory, a highly-promising tool to clean whole-night EEG. However, ASR crucially relies on calibration against a subset of relatively clean "baseline" data. This is problematic when the baseline changes substantially over time, as in whole-night EEG data. Here we tackled this issue and, for the first time, validated ASR for cleaning sleep EEG. We demonstrate that ASR applied out-of-the-box, with the parameters recommended for wake EEG, results in the dramatic removal of slow waves. We also provide an appropriate procedure to use ASR for automatic and rapid cleaning of whole-night sleep EEG data or any long EEG recording. Our procedure is freely available in Dusk2Dawn, an open-source plugin for EEGLAB.
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Affiliation(s)
- Richard Somervail
- Neuroscience and Behaviour Laboratory, Italian Institute of Technology (IIT), Rome, Italy
- Department of Neuroscience Physiology and Pharmacology, University College London (UCL), London, UK
| | - Jacinthe Cataldi
- Centre d'Investigation et de Recherche sur le Sommeil, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
- The Sense Innovation and Research Center, Lausanne and Sion, Switzerland
| | - Aurélie M Stephan
- Centre d'Investigation et de Recherche sur le Sommeil, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
- The Sense Innovation and Research Center, Lausanne and Sion, Switzerland
- Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Francesca Siclari
- Centre d'Investigation et de Recherche sur le Sommeil, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
- The Sense Innovation and Research Center, Lausanne and Sion, Switzerland
- Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Gian Domenico Iannetti
- Neuroscience and Behaviour Laboratory, Italian Institute of Technology (IIT), Rome, Italy
- Department of Neuroscience Physiology and Pharmacology, University College London (UCL), London, UK
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8
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Stephan AM, Siclari F. Reconsidering sleep perception in insomnia: from misperception to mismeasurement. J Sleep Res 2023; 32:e14028. [PMID: 37678561 DOI: 10.1111/jsr.14028] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/11/2023] [Accepted: 08/14/2023] [Indexed: 09/09/2023]
Abstract
So-called 'sleep misperception' refers to a phenomenon in which individuals have the impression of sleeping little or not at all despite normal objective measures of sleep. It is unknown whether this subjective-objective mismatch truly reflects an abnormal perception of sleep, or whether it results from the inability of standard sleep recording techniques to capture 'wake-like' brain activity patterns that could account for feeling awake during sleep. Here, we systematically reviewed studies reporting sleep macro- and microstructural, metabolic, and mental correlates of sleep (mis)perception. Our findings suggest that most individuals tend to accurately estimate their sleep duration measured with polysomnography (PSG). In good sleepers, feeling awake during sleep is the rule at sleep onset, remains frequent in the first non-rapid eye movement sleep cycle and almost never occurs in rapid eye movement (REM) sleep. In contrast, there are patients with insomnia who consistently underestimate their sleep duration, regardless of how long they sleep. Unlike good sleepers, they continue to feel awake after the first sleep cycle and importantly, during REM sleep. Their mental activity during sleep is also more thought-like. Initial studies based on standard PSG parameters largely failed to show consistent differences in sleep macrostructure between these patients and controls. However, recent studies assessing sleep with more refined techniques have revealed that these patients show metabolic and microstructural electroencephalography changes that likely reflect a shift towards greater cortical activation during sleep and correlate with feeling awake. We discuss the significance of these correlates and conclude with open questions and possible ways to address them.
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Affiliation(s)
- Aurélie M Stephan
- The Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Center for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
- The Sense Innovation and Research Center, Lausanne and Sion, Switzerland
| | - Francesca Siclari
- The Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Center for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
- The Sense Innovation and Research Center, Lausanne and Sion, Switzerland
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9
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Matsui K, Chung F, Bjelajac AK, Merikanto I, Korman M, Mota-Rolim S, Cunha AS, Bjorvatn B, Xue P, Benedict C, Morin CM, Espie CA, Landtblom AM, Penzel T, De Gennaro L, Holzinger B, Hrubos-Strøm H, Leger D, Bolstad CJ, Nadorff MR, Plazzi G, Reis C, Chan NY, Wing YK, Yordanova J, Dauvilliers Y, Partinen M, Inoue Y. Associations between changes in habitual sleep duration and lower self-rated health among COVID-19 survivors: findings from a survey across 16 countries/regions. BMC Public Health 2023; 23:2352. [PMID: 38017498 PMCID: PMC10683140 DOI: 10.1186/s12889-023-17258-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 11/18/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Self-rated health (SRH) is widely recognized as a clinically significant predictor of subsequent mortality risk. Although COVID-19 may impair SRH, this relationship has not been extensively examined. The present study aimed to examine the correlation between habitual sleep duration, changes in sleep duration after infection, and SRH in subjects who have experienced SARS-CoV-2 infection. METHODS Participants from 16 countries participated in the International COVID Sleep Study-II (ICOSS-II) online survey in 2021. A total of 10,794 of these participants were included in the analysis, including 1,509 COVID-19 individuals (who reported that they had tested positive for COVID-19). SRH was evaluated using a 0-100 linear visual analog scale. Habitual sleep durations of < 6 h and > 9 h were defined as short and long habitual sleep duration, respectively. Changes in habitual sleep duration after infection of ≤ -2 h and ≥ 1 h were defined as decreased or increased, respectively. RESULTS Participants with COVID-19 had lower SRH scores than non-infected participants, and those with more severe COVID-19 had a tendency towards even lower SRH scores. In a multivariate regression analysis of participants who had experienced COVID-19, both decreased and increased habitual sleep duration after infection were significantly associated with lower SRH after controlling for sleep quality (β = -0.056 and -0.058, respectively, both p < 0.05); however, associations between current short or long habitual sleep duration and SRH were negligible. Multinomial logistic regression analysis showed that decreased habitual sleep duration was significantly related to increased fatigue (odds ratio [OR] = 1.824, p < 0.01), shortness of breath (OR = 1.725, p < 0.05), diarrhea/nausea/vomiting (OR = 2.636, p < 0.01), and hallucinations (OR = 5.091, p < 0.05), while increased habitual sleep duration was significantly related to increased fatigue (OR = 1.900, p < 0.01). CONCLUSIONS Changes in habitual sleep duration following SARS-CoV-2 infection were associated with lower SRH. Decreased or increased habitual sleep duration might have a bidirectional relation with post-COVID-19 symptoms. Further research is needed to better understand the mechanisms underlying these relationships for in order to improve SRH in individuals with COVID-19.
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Affiliation(s)
- Kentaro Matsui
- Department of Clinical Laboratory, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Frances Chung
- Department of Anesthesiology and Pain Medicine, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | | | - Ilona Merikanto
- SleepWell Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Orton Orthopaedics Hospital, Helsinki, Finland
| | - Maria Korman
- Department of Occupational Therapy, Faculty of Health Sciences, Ariel University, Ariel, Israel
| | - Sérgio Mota-Rolim
- Brain Institute, Physiology and Behavior Department, and Onofre Lopes University Hospital, Federal University of Rio Grande do Norte, Natal, Brazil
| | | | - Bjørn Bjorvatn
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Bergen, Norway
| | - Pei Xue
- Department of Pharmaceutical Biosciences, Molecular Neuropharmacology, Uppsala University, Uppsala, Sweden
| | - Christian Benedict
- Department of Pharmaceutical Biosciences, Molecular Neuropharmacology, Uppsala University, Uppsala, Sweden
| | - Charles M Morin
- Centre de recherche CERVO/Brain Research Center, École de psychologie, Université Laval, Quebec City Quebec, Canada
| | - Colin A Espie
- Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Anne-Marie Landtblom
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Thomas Penzel
- Sleep Medicine Center, Charite University Hospital Berlin, Berlin, Germany
| | - Luigi De Gennaro
- Department of Psychology, Sapienza University of Rome, Roma, Lazio, Italy
- IRCCS Fondazione Santa Lucia, Roma, Italy
| | - Brigitte Holzinger
- Institute for Consciousness and Dream Research; Medical University of Vienna, Postgraduate Sleep Coaching, WienVienna, Austria
| | - Harald Hrubos-Strøm
- Department of Otorhinolaryngology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Damien Leger
- VIFASOM (EA 7331 Vigilance Fatigue Sommeil et Santé Publique), Université Paris Cité, Paris, France
- APHP, Hôtel-Dieu, Centre du Sommeil et de la Vigilance, Paris, France
| | - Courtney J Bolstad
- Department of Psychology, Mississippi State University, Mississippi State, MS, USA
- South Texas Veterans Health Care System, San Antonio, Texas, USA
| | - Michael R Nadorff
- Department of Psychology, Mississippi State University, Mississippi State, MS, USA
| | - Giuseppe Plazzi
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Bologna, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Catia Reis
- Católica Research Centre for Psychological - Family and Social Wellbeing, Universidade Católica Portuguesa, Lisbon, Portugal
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina de Lisboa, Universidade de Lisboa, Lisboa, Portugal
- Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Juliana Yordanova
- Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Yves Dauvilliers
- Sleep-Wake Disorders Center, Department of Neurology, Gui-de-Chauliac Hospital, Institute for Neurosciences of Montpellier INM, INSERM, University of Montpellier, Montpellier, France
| | - Markku Partinen
- Department of Clinical Neurosciences, University of Helsinki Clinicum Unit, Helsinki, Finland
- Helsinki Sleep Clinic, Terveystalo Healthcare Services, Helsinki, Finland
| | - Yuichi Inoue
- Japan Somnology Center, Institute of Neuropsychiatry, Tokyo, Japan.
- Department of Somnology, Tokyo Medical University, Tokyo, Japan.
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10
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Lindsay N, O'Sullivan L, Gibson R, Ladyman C, Tassell-Matamua N. Near-Death Experiences and Sleep Disturbance: An Exploratory Study Using Wrist Actigraphy. J Nerv Ment Dis 2023; 211:856-861. [PMID: 37734157 DOI: 10.1097/nmd.0000000000001710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
Abstract
ABSTRACT Near-death experiences (NDEs) are nonordinary states of consciousness typically occurring on the brink of death. Sleep changes after NDEs have been described, including shorter sleep duration, longer sleep latency, and more sleep disturbances; however, objective verification is lacking. In this exploratory research, 57 participants took part in a 14-day actigraphy study and were assigned to three groups: those who have had an NDE ( n = 26); those who experienced a near-death event but without NDE ( n = 12); and those who had never come close to death ( n = 19). No significant differences were found between groups for actigraphy data. Paired samples t tests indicated significant differences between subjective and objective measures of sleep onset latency, sleep duration, and sleep efficiency, notably among the NDE group. Findings are indicative of the phenomenon known as sleep state misperception (SSM), which may have clinical implications for the study of NDEs and SSM.
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Affiliation(s)
| | | | | | - Clare Ladyman
- School of Health Sciences, Massey University, New Zealand
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11
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Ren W, Zhang N, Sun Y, Pan L, Hou Y, Li D, Huang X, Liu K, Sun H, Sun Y, Lv C, Yu Y, Han F. The REM microarousal and REM duration as the potential indicator in paradoxical insomnia. Sleep Med 2023; 109:110-117. [PMID: 37429109 DOI: 10.1016/j.sleep.2023.06.011] [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: 03/22/2023] [Revised: 06/10/2023] [Accepted: 06/10/2023] [Indexed: 07/12/2023]
Abstract
OBJECTIVE Although paradoxical insomnia is a prevalent subtype of chronic insomnia, the etiology of it is unclear. Contrary to complaints of little or no sleep, polysomnography (PSG) findings show that paradoxical insomnia patients have near normal sleep macrostructure. The purpose of this study is to determine the changes of microstructure and explore the etiology of paradoxical insomnia. METHODS The PSG findings of 89 paradoxical insomnia patients were compared with those of 41 gender balanced healthy controls without sleep complaints. All subjects underwent nocturnal PSG recordings. Conventional PSG measures and microarousals were quantified and statistically analyzed. Receiver operating characteristic curve and correlation analysis were used to evaluate the potential of REM sleep microarousals and REM duration as indicators of paradoxical insomnia. RESULTS Compared with the controls, paradoxical insomnia patients had no significant differences in sleep macrostructures. Statistical analysis showed that non-rapid eye movement (NREM) microarousals revealed no significant differences between paradoxical insomnia patients and controls. Noticeably, more spontaneous microarousals appeared in rapid eye movement (REM) stage for paradoxical insomnia patients. Based on receiver operating characteristic curve (ROC), the optimal cutoff value of REM sleep microarousals could predict paradoxical insomnia. Furthermore, a positive correlation between microarousals in REM sleep and the duration of REM sleep was presented in paradoxical insomnia patients. CONCLUSIONS The frequency of REM microarousals and the duration of REM sleep could reflect the real sleep state of paradoxical insomnia patients. That suggested PSG investigation extended to microarousal could be helpful to understand the etiology in paradoxical insomnia.
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Affiliation(s)
- Wenjing Ren
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China
| | - Na Zhang
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China
| | - Yunliang Sun
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Lei Pan
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Yanyan Hou
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Dongze Li
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Xiao Huang
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Kuikui Liu
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Hongliu Sun
- Department of Pharmaceutical Sciences, Binzhou Medical University, Yantai, China
| | - Yeying Sun
- Department of Pharmaceutical Sciences, Binzhou Medical University, Yantai, China
| | - Changjun Lv
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China
| | - Yan Yu
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China.
| | - Fang Han
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China.
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12
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Lambert I, Peter-Derex L. Spotlight on Sleep Stage Classification Based on EEG. Nat Sci Sleep 2023; 15:479-490. [PMID: 37405208 PMCID: PMC10317531 DOI: 10.2147/nss.s401270] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 06/21/2023] [Indexed: 07/06/2023] Open
Abstract
The recommendations for identifying sleep stages based on the interpretation of electrophysiological signals (electroencephalography [EEG], electro-oculography [EOG], and electromyography [EMG]), derived from the Rechtschaffen and Kales manual, were published in 2007 at the initiative of the American Academy of Sleep Medicine, and regularly updated over years. They offer an important tool to assess objective markers in different types of sleep/wake subjective complaints. With the aims and advantages of simplicity, reproducibility and standardization of practices in research and, most of all, in sleep medicine, they have overall changed little in the way they describe sleep. However, our knowledge on sleep/wake physiology and sleep disorders has evolved since then. High-density electroencephalography and intracranial electroencephalography studies have highlighted local regulation of sleep mechanisms, with spatio-temporal heterogeneity in vigilance states. Progress in the understanding of sleep disorders has allowed the identification of electrophysiological biomarkers better correlated with clinical symptoms and outcomes than standard sleep parameters. Finally, the huge development of sleep medicine, with a demand for explorations far exceeding the supply, has led to the development of alternative studies, which can be carried out at home, based on a smaller number of electrophysiological signals and on their automatic analysis. In this perspective article, we aim to examine how our description of sleep has been constructed, has evolved, and may still be reshaped in the light of advances in knowledge of sleep physiology and the development of technical recording and analysis tools. After presenting the strengths and limitations of the classification of sleep stages, we propose to challenge the "EEG-EOG-EMG" paradigm by discussing the physiological signals required for sleep stages identification, provide an overview of new tools and automatic analysis methods and propose avenues for the development of new approaches to describe and understand sleep/wake states.
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Affiliation(s)
- Isabelle Lambert
- APHM, Timone Hospital, Sleep Unit, Epileptology and Cerebral Rhythmology, Marseille, France
- Aix Marseille University, INSERM, Institut de Neuroscience des Systemes, Marseille, France
| | - Laure Peter-Derex
- Center for Sleep Medicine and Respiratory Diseases, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon 1 University, Lyon, France
- Lyon Neuroscience Research Center, PAM Team, INSERM U1028, CNRS UMR 5292, Lyon, France
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13
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Lüthi A, Franken P, Fulda S, Siclari F, Van Someren EJW. Do all norepinephrine surges disrupt sleep? Nat Neurosci 2023:10.1038/s41593-023-01313-8. [PMID: 37081297 DOI: 10.1038/s41593-023-01313-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 03/20/2023] [Indexed: 04/22/2023]
Affiliation(s)
- Anita Lüthi
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.
| | - Paul Franken
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Stephany Fulda
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Ospedale Civico, EOC, Lugano, Switzerland
| | - Francesca Siclari
- The Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Center for Investigation and Research on Sleep, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- The Sense Innovation and Research Center, Sion, Switzerland
| | - Eus J W Van Someren
- The Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam Public Health Research Institute and Amsterdam Neuroscience Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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14
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Solelhac G, Berger M, Strippoli MPF, Marchi NA, Stephan A, Petit JM, Bayon V, Imler T, Haba-Rubio J, Raffray T, Vollenweider P, Marques-Vidal P, Waeber G, Léger D, Siclari F, Geoffroy PA, Preisig M, Heinzer R. Objective polysomnography-based sleep features and major depressive disorder subtypes in the general population. Psychiatry Res 2023; 324:115213. [PMID: 37098299 DOI: 10.1016/j.psychres.2023.115213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 04/27/2023]
Abstract
Insomnia and its opposite hypersomnia are part of the diagnostic criteria for major depressive disorder (MDD). However, no study has investigated whether the postulated sleep alterations in clinical subtypes of MDD are reflected in polysomnography (PSG)-derived objective sleep measures. The objective of this study was to establish associations between the melancholic, atypical and unspecified subtypes of MDD and objective PSG-based sleep features. This cross-sectional analysis included 1820 community-dwelling individuals who underwent PSG and a semi-structured psychiatric interview to elicit diagnostic criteria for MDD and its subtypes. Adjusted robust linear regression was used to assess associations between MDD subtypes and PSG-derived objective sleep measures. Current melancholic MDD was significantly associated with decreased absolute delta power and sleep efficiency and with increased wake after sleep onset. Remitted unspecified MDD was significantly associated with increased rapid eye movements density. No other significant associations were identified. Our findings reflect that some PSG-based sleep features differed in MDD subtypes compared with no MDD. The largest number of significant differences were observed for current melancholic MDD, whereas only rapid eye movements density could represent a risk factor for MDD as it was the only sleep measure that was also associated with MDD in remitted participants.
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Affiliation(s)
- Geoffroy Solelhac
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland.
| | - Mathieu Berger
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland.
| | - Marie-Pierre F Strippoli
- Center for research in Psychiatric Epidemiology and Psychopathology (CEPP), Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland.
| | - Nicola Andrea Marchi
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland.
| | - Aurélie Stephan
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - Jean-Marie Petit
- Center for Psychiatric Neuroscience (CNP), Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
| | - Virginie Bayon
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland.
| | - Théo Imler
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - Jose Haba-Rubio
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland; Florimont Sleep Center, Lausanne, Switzerland.
| | - Tifenn Raffray
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland; Florimont Sleep Center, Lausanne, Switzerland.
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
| | - Gerard Waeber
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
| | - Damien Léger
- Université Paris Cité, VIFASOM, AP-HP, Hôtel-Dieu, Centre du Sommeil et de la Vigilance, Paris, France.
| | - Francesca Siclari
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland; The Sense Innovation and Research Center, Lausanne and Sion, Switzerland; Department of Clinical Neurosciences Lausanne University Hospital (CHUV), Lausanne, Switzerland; Netherlands Institute for Neuroscience, Amsterdam, Netherlands.
| | - Pierre A Geoffroy
- GHU Paris - Psychiatry & Neurosciences, Paris, France; Université de Paris, NeuroDiderot, Inserm, Paris, France; Département de Psychiatrie et d'Addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat - Claude Bernard, Paris, France
| | - Martin Preisig
- Center for research in Psychiatric Epidemiology and Psychopathology (CEPP), Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland.
| | - Raphaël Heinzer
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland.
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15
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Ma N, Ning Q, Li M, Hao C. The First-Night Effect on the Instability of Stage N2: Evidence from the Activity of the Central and Autonomic Nervous Systems. Brain Sci 2023; 13:brainsci13040667. [PMID: 37190632 DOI: 10.3390/brainsci13040667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
A series of studies have suggested that stage N2 is vulnerable and strongly affected by the first-night effect (FNE). However, the neurophysiological mechanism underlying the vulnerability of stage N2 of the FNE has not been well examined. A total of 17 healthy adults (11 women and 6 men, mean age: 21.59 ± 2.12) underwent two nights of polysomnogram recordings in the sleep laboratory. We analyzed sleep structure and central and autonomic nervous system activity during stage N2 and applied the electroencephalographic (EEG) activation index (beta/delta power ratio) and heart rate variability to reflect changes in central and autonomic nervous system activity caused by the FNE. Correlation analyses were performed between EEG activation and heart rate variability. The results showed that EEG activation and high-frequency heart rate variability increased on the adaptation night (Night 1). Importantly, EEG activation was significantly associated with the percentage of stage N1, and the correlation between EEG activation and high-frequency heart rate variability decreased due to the FNE. These findings indicate that the FNE affects the instability of stage N2 by increasing central nervous system activity and uncoupling the activity between the central and autonomic nervous systems.
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Affiliation(s)
- Ning Ma
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou 510631, China
- Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Qian Ning
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou 510631, China
- Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Mingzhu Li
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou 510631, China
- Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Chao Hao
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou 510631, China
- Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou 510631, China
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16
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Shirota A, Kamimura M, Katagiri A, Taniike M, Kato T. Subjective sleep assessments are correlated with EEG-related sleep measurements of the first sleep cycle in healthy young adults. Sleep Biol Rhythms 2023; 21:211-219. [PMID: 38469279 PMCID: PMC10899956 DOI: 10.1007/s41105-022-00437-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 12/03/2022] [Indexed: 12/23/2022]
Abstract
This study examined whether subjective and objective sleep parameters (sleep stage, electroencephalography [EEG] power, heart rate variability) are related to the progression of sleep cycles using differences in the variables between two nights. We hypothesized that the association between night-to-night differences between subjective and objective sleep variables reflect the difference in objective sleep variables in the first sleep cycle. Seventy-seven healthy adults (23.8 ± 2.2 years; 41 females) participated in polysomnographic recordings on two consecutive nights. To extract the variables that represent the difference between the nights, the sleep parameters of Night 1 were subtracted from those of Night 2. Spearman's rho was used to assess correlations between subjective sleep assessments and objective sleep parameters, with false discovery rate correction for multiple comparisons. Subjective sleep assessments were significantly correlated with whole-night sleep architecture and quantitative EEG activity, but not with heart rate variability during the night. Among sleep cycles, subjective sleep parameters were correlated with the objective sleep parameters in the first sleep cycle ("Ease of falling asleep" vs. waking after sleep onset [r = - 0.382], "Depth of sleep" vs. EEG theta power [r = 0.404], "Quality of sleep" vs. the percentage of stage N3 [r = 0.412] and EEG delta power [r = 0.458], all p < 0.05). These results suggest the importance of taking the difference among the nights into account when assessing subjective sleep quality. This study clarified that sleep in the first sleep cycle has a dominant influence on subjective sleep assessments. Supplementary Information The online version contains supplementary material available at 10.1007/s41105-022-00437-x.
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Affiliation(s)
- Ai Shirota
- Department of Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan
| | - Mayo Kamimura
- Department of Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan
| | - Ayano Katagiri
- Department of Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan
| | - Masako Taniike
- Department of Child Development, United Graduate School of Medicine, Osaka University, Suita, Japan
- Sleep Medicine Center, Osaka University Hospital, Suita, Japan
| | - Takafumi Kato
- Department of Oral Physiology, Osaka University Graduate School of Dentistry, Suita, Japan
- Sleep Medicine Center, Osaka University Hospital, Suita, Japan
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17
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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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18
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Song Y, Lian J, Wang K, Wen J, Luo Y. Changes in the cortical network during sleep stage transitions. J Neurosci Res 2023; 101:20-33. [PMID: 36148534 DOI: 10.1002/jnr.25125] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 09/04/2022] [Accepted: 09/05/2022] [Indexed: 11/07/2022]
Abstract
Sleep state transitions are closely related to insomnia, drowsiness, and sleep maintenance. However, how the cortical network varies during such a transition process remains unclear. Changes in the cortical interaction during the short-term process of sleep stage transitions were investigated. In all, 40 healthy young participants underwent overnight polysomnography. The phase transfer entropy of six frequency bands was obtained from 16 electroencephalography channels to assess the strength and direction of information flow between the cortical regions. Differences in the cortical network between the first and the last 10 s in a 40-s transition period across wakefulness, N1, N2, N3, and rapid eye movement were, respectively, studied. Various frequency bands exhibited different patterns during the sleep stage transitions. It was found that the mutual transitions between the sleep stages were not necessarily the opposite. More significant changes were observed in the sleep deepening process than in the process of sleep awakening. During sleep stage transitions, changes in the inflow and outflow strength of various cortical regions led to regional differences, but for the entire sleep progress, such an imbalance did not intensify, and a dynamic balance was instead observed. The detailed findings of variations in cortical interactions during sleep stage transition promote understanding of sleep mechanism, sleep process, and sleep function. Additionally, it is expected to provide helpful clues for sleep improvement, like reducing the time required to fall asleep and maintaining sleep depth.
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Affiliation(s)
- Yingjie Song
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Jiakai Lian
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Kejie Wang
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Jinfeng Wen
- Psychology Department, Guangdong 999 Brain Hospital, Guangzhou, China
| | - Yuxi Luo
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China.,Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, Sun Yat-sen University, Guangzhou, China
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19
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Utsumi T, Yoshiike T, Kaneita Y, Aritake-Okada S, Matsui K, Nagao K, Saitoh K, Otsuki R, Shigeta M, Suzuki M, Kuriyama K. The association between subjective-objective discrepancies in sleep duration and mortality in older men. Sci Rep 2022; 12:18650. [PMID: 36333394 PMCID: PMC9636161 DOI: 10.1038/s41598-022-22065-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022] Open
Abstract
A discrepancy in subjective and objective estimations of sleep duration, which often diverge, could have long-term adverse effects on health outcomes in older adults. Using data from 2674 older adult men (≥ 65 years of age) of the Osteoporotic Fractures in Men Sleep Study, we assessed the longitudinal association between misperception index (MI), calculated as MI = (objective sleep duration - subjective sleep duration)/objective sleep duration, and all-cause mortality. During the follow-up with a mean (standard deviation) of 10.8 (4.2) years, 1596 deaths were observed. As a continuous variable, MI showed a linear relationship with all-cause mortality after adjusting for multiple covariates, including polysomnography-measured objective sleep duration [fully adjusted hazard ratio (HR), 0.69; 95% confidence interval [CI], 0.56-0.84]. As a categorical variable, the lowest MI quartile (vs. the interquartile MI range) was associated with increased mortality (fully adjusted HR, 1.28; 95% CI, 1.12-1.46), whereas the highest MI quartile was not associated with mortality (fully adjusted HR, 0.97; 95% CI, 0.85-1.11). The subjective overestimation of sleep duration may be a risk factor for all-cause mortality in older men. Future studies should examine why subjective overestimation of sleep duration is associated with all-cause mortality from a physiological perspective.
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Affiliation(s)
- Tomohiro Utsumi
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Takuya Yoshiike
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
| | - Yoshitaka Kaneita
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Sayaka Aritake-Okada
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Health Sciences, Saitama Prefectural University, Saitama, Japan
| | - Kentaro Matsui
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Clinical Laboratory, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kentaro Nagao
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Psychiatry, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kaori Saitoh
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Psychiatry, Nihon University School of Medicine, Tokyo, Japan
| | - Rei Otsuki
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Clinical Laboratory, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan
- Department of Psychiatry, Nihon University School of Medicine, Tokyo, Japan
| | - Masahiro Shigeta
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Masahiro Suzuki
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan
- Department of Psychiatry, Nihon University School of Medicine, Tokyo, Japan
| | - Kenichi Kuriyama
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8553, Japan.
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20
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Sun Q, Dai Y, Chen B, Vgontzas AN, Basta M, Tang X, Zhang S, Li Y. The underestimation of sleep duration phenotype is associated with better treatment response to cognitive behavior therapy for insomnia in patients with chronic insomnia: a preliminary study. J Clin Sleep Med 2022; 18:2443-2450. [PMID: 35818730 PMCID: PMC9516587 DOI: 10.5664/jcsm.10130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 05/24/2022] [Accepted: 05/26/2022] [Indexed: 02/05/2023]
Abstract
STUDY OBJECTIVES To examine treatment response to cognitive behavior therapy for insomnia (CBT-I) in patients with chronic insomnia with and without underestimation of sleep duration. METHODS We studied 41 patients with chronic insomnia who had received 5-week CBT-I. Self-reported and objective sleep were assessed with sleep diary and actigraphy, respectively. Sleep perception was calculated as self-reported total sleep time/objective total sleep time. The underestimation of sleep duration group was defined based on sleep perception less than the median of the overall sample (85%). Insomnia Severity Index was used to assess the severity of insomnia. RESULTS The total scores of Insomnia Severity Index decreased significantly after CBT-I in both groups with and without underestimation of sleep duration. Compared to pretreatment, self-reported sleep efficiency increased and total wake time decreased after CBT-I, while the magnitude of changes in sleep efficiency (d = 1.40 vs d=0.81, interaction P = .016) and total wake time (d = -1.82 vs d = -0.85, interaction P < .001) were larger in the underestimation of sleep duration group . Furthermore, self-reported sleep onset latency (interaction P = .520) and wake after sleep onset (interaction P = .052) decreased in the underestimation of sleep duration group (all P < .05), but not in patients without underestimation of sleep duration. Linear regressions showed that lower sleep perception at baseline predicted greater increase in self-reported sleep efficiency (β = -0.99, P < .001) and total sleep time (β = -0.51, P = .006) and greater decrease in self-reported total wake time (β=1.22, P = .023) after CBT-I after adjusting for confounders. CONCLUSIONS The current preliminary study suggests that sleep perception moderates the self-reported CBT-I effects on chronic insomnia: the phenotype of underestimation of sleep duration is associated with a better response to CBT-I, especially in self-reported sleep parameters. CITATION Sun Q, Dai Y, Chen B, et al. The underestimation of sleep duration phenotype is associated with better treatment response to cognitive behavior therapy for insomnia in patients with chronic insomnia: a preliminary study. J Clin Sleep Med. 2022;18(10):2443-2450.
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Affiliation(s)
- Qimeng Sun
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China
- Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Yanyuan Dai
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China
- Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Baixin Chen
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China
- Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Alexandros N. Vgontzas
- Sleep Research and Treatment Center, Department of Psychiatry, Pennsylvania State University, College of Medicine, Hershey, Pennsylvania
| | - Maria Basta
- Department of Psychiatry, University Hospital of Heraklion, Heraklion, Crete, Greece
| | - Xiangdong Tang
- Sleep Medicine Center, Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| | - Sen Zhang
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Yun Li
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China
- Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
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21
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Associations between comorbid anxiety and sleep disturbance in people with bipolar disorder: Findings from actigraphy and subjective sleep measures. J Affect Disord 2022; 309:165-171. [PMID: 35427709 PMCID: PMC9225955 DOI: 10.1016/j.jad.2022.04.065] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 02/03/2022] [Accepted: 04/10/2022] [Indexed: 12/02/2022]
Abstract
BACKGROUND Studies show that comorbid anxiety disorders are common in people with bipolar disorder. However, little is known about whether this anxiety is associated with sleep disturbance. We investigated, in individuals with bipolar disorder, whether comorbid anxiety disorder is associated with sleep disturbance. METHODS Participants were 101 (64% female) currently euthymic individuals with a history of bipolar disorder. Sleep disturbances were assessed using self-report measures of sleep quality (Pittsburgh Sleep Quality Index, PSQI) and six weeks of sleep monitoring using actigraphy. Bipolar disorder and comorbid anxiety diagnoses were assessed using the Mini International Neuropsychiatric Interview. Multiple regression analyses examined associations between comorbid anxiety and sleep disturbance, whilst controlling for confounding covariates known to impact on sleep. RESULTS A comorbid anxiety disorder was associated with increased sleep disturbance as measured using the PSQI global score (B = 3.58, 95% CI 1.85-5.32, P < 0.001) but was not associated with sleep metrics (total sleep time, sleep onset latency, sleep efficiency, and wake after sleep onset) derived using actigraphy. LIMITATIONS Objective measures of sleep were limited to actigraphy, therefore we were not able to examine differences in sleep neurophysiology. CONCLUSIONS Clinicians should be aware that comorbid anxiety may increase the risk of experiencing subjective sleep disturbance in people with bipolar disorder. Research should assess for evidence of comorbid anxiety when examining associations between sleep and bipolar disorder. Future research should explore the mechanisms by which comorbid anxiety may contribute to subjective sleep disturbances in bipolar disorder using neurophysiological measures of sleep (i.e., polysomnography).
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22
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Berger M, Vakulin A, Hirotsu C, Marchi NA, Solelhac G, Bayon V, Siclari F, Haba‐Rubio J, Vaucher J, Vollenweider P, Marques‐Vidal P, Lechat B, Catcheside PG, Eckert DJ, Adams RJ, Appleton S, Heinzer R. Association Between Sleep Microstructure and Incident Hypertension in a Population‐Based Sample: The HypnoLaus Study. J Am Heart Assoc 2022; 11:e025828. [PMID: 35861817 PMCID: PMC9707830 DOI: 10.1161/jaha.121.025828] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background
Poor sleep quality is associated with increased incident hypertension. However, few studies have investigated the impact of objective sleep structure parameters on hypertension. This study investigated the association between sleep macrostructural and microstructural parameters and incident hypertension in a middle‐ to older‐aged sample.
Methods and Results
Participants from the HypnoLaus population‐based cohort without hypertension at baseline were included. Participants had at‐home polysomnography at baseline, allowing assessment of sleep macrostructure (nonrapid eye movement sleep stages 1, 2, and 3; rapid eye movement sleep stages; and total sleep time) and microstructure including power spectral density of electroencephalogram in nonrapid eye movement sleep and spindles characteristics (density, duration, frequency, amplitude) in nonrapid eye movement sleep stage 2. Associations between sleep macrostructure and microstructure parameters at baseline and incident clinical hypertension over a mean follow‐up of 5.2 years were assessed with multiple‐adjusted logistic regression. A total of 1172 participants (42% men; age 55±10 years) were included. Of these, 198 (17%) developed hypertension. After adjustment for confounders, no sleep macrostructure features were associated with incident hypertension. However, low absolute delta and sigma power were significantly associated with incident hypertension where participants in the lowest quartile of delta and sigma had a 1.69‐fold (95% CI, 1.00–2.89) and 1.72‐fold (95% CI, 1.05–2.82) increased risk of incident hypertension, respectively, versus those in the highest quartile. Lower spindle density (odds ratio, 0.87; 95% CI, 0.76–0.99) and amplitude (odds ratio, 0.98; 95% CI, 0.95–1.00) were also associated with higher incident hypertension.
Conclusions
Sleep microstructure is associated with incident hypertension. Slow‐wave activity and sleep spindles, 2 hallmarks of objective sleep continuity and quality, were inversely and consistently associated with incident hypertension. This supports the protective role of sleep continuity in the development of hypertension.
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Affiliation(s)
- Mathieu Berger
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Camila Hirotsu
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Nicola Andrea Marchi
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Geoffroy Solelhac
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Virginie Bayon
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Francesca Siclari
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - José Haba‐Rubio
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Julien Vaucher
- Department of Medicine Internal Medicine Lausanne University Hospital (CHUV) and University of Lausanne Lausanne Switzerland
| | - Peter Vollenweider
- Department of Medicine Internal Medicine Lausanne University Hospital (CHUV) and University of Lausanne Lausanne Switzerland
| | - Pedro Marques‐Vidal
- Department of Medicine Internal Medicine Lausanne University Hospital (CHUV) and University of Lausanne Lausanne Switzerland
| | - Bastien Lechat
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Peter G. Catcheside
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Danny J. Eckert
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Robert J. Adams
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Sarah Appleton
- Flinders Health and Medical Research Institute: Sleep Health/Adelaide Institute for Sleep HealthFlinders UniversityCollege of Medicine and Public Health Adelaide Adelaide SA Australia
| | - Raphael Heinzer
- Center for Investigation and Research in Sleep Department of Medicine Lausanne University Hospital and University of Lausanne Lausanne Switzerland
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23
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Decat N, Walter J, Koh ZH, Sribanditmongkol P, Fulcher BD, Windt JM, Andrillon T, Tsuchiya N. Beyond traditional sleep scoring: Massive feature extraction and data-driven clustering of sleep time series. Sleep Med 2022; 98:39-52. [PMID: 35779380 DOI: 10.1016/j.sleep.2022.06.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 05/23/2022] [Accepted: 06/02/2022] [Indexed: 11/30/2022]
Abstract
The widely used guidelines for sleep staging were developed for the visual inspection of electrophysiological recordings by the human eye. As such, these rules reflect a limited range of features in these data and are therefore restricted in accurately capturing the physiological changes associated with sleep. Here we present a novel analysis framework that extensively characterizes sleep dynamics using over 7700 time-series features from the hctsa software. We used clustering to categorize sleep epochs based on the similarity of their time-series features, without relying on established scoring conventions. The resulting sleep structure overlapped substantially with that defined by visual scoring. However, we also observed discrepancies between our approach and traditional scoring. This divergence principally stemmed from the extensive characterization by hctsa features, which captured distinctive time-series properties within the traditionally defined sleep stages that are overlooked with visual scoring. Lastly, we report time-series features that are highly discriminative of stages. Our framework lays the groundwork for a data-driven exploration of sleep sub-stages and has significant potential to identify new signatures of sleep disorders and conscious sleep states.
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Affiliation(s)
- Nicolas Decat
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Jasmine Walter
- Philosophy Department, Monash Centre for Consciousness and Contemplative Studies, Monash University, Melbourne, Victoria, Australia; Monash Centre for Consciousness and Contemplative Studies, Monash University, Melbourne, Victoria, Australia
| | - Zhao H Koh
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Piengkwan Sribanditmongkol
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Ben D Fulcher
- School of Physics, University of Sydney, Sydney, NSW, Australia
| | - Jennifer M Windt
- Philosophy Department, Monash Centre for Consciousness and Contemplative Studies, Monash University, Melbourne, Victoria, Australia; Monash Centre for Consciousness and Contemplative Studies, Monash University, Melbourne, Victoria, Australia
| | - Thomas Andrillon
- Philosophy Department, Monash Centre for Consciousness and Contemplative Studies, Monash University, Melbourne, Victoria, Australia; Paris Brain Institute, Sorbonne Université, Inserm-CNRS, Paris, 75013, France
| | - Naotsugu Tsuchiya
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia; Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, 565-0871, Japan; Advanced Telecommunications Research Computational Neuroscience Laboratories, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0288, Japan.
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24
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Lechat B, Hirotsu C, Appleton S, Younes M, Adams RJ, Vakulin A, Hansen K, Zajamsek B, Wittert G, Catcheside P, Heinzer R, Eckert DJ. A novel EEG marker predicts perceived sleepiness and poor sleep quality. Sleep 2022; 45:zsac051. [PMID: 35554584 DOI: 10.1093/sleep/zsac051] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 02/16/2022] [Indexed: 09/21/2023] Open
Abstract
STUDY OBJECTIVES To determine if a novel EEG-derived continuous index of sleep depth/alertness, the odds ratio product (ORP), predicts self-reported daytime sleepiness and poor sleep quality in two large population-based cohorts. METHODS ORP values which range from 0 (deep sleep) to 2.5 (fully alert) were calculated in 3s intervals during awake periods (ORPwake) and NREM sleep (ORPNREM) determined from home sleep studies in the HypnoLaus (N = 2162: 1106 females, 1056 males) and men androgen inflammation lifestyle environment and stress (MAILES) cohorts (N = 754 males). Logistic regression was used to examine associations between ORPwake, ORPNREM, and traditional polysomnography measures (as comparators) with excessive sleepiness (Epworth sleepiness scale >10) and poor sleep quality (Pittsburgh sleep quality index >5) and insomnia symptoms. RESULTS High ORPwake was associated with a ~30% increase in poor sleep quality in both HypnoLaus (odds ratio, OR, and 95% CI) 1.28 (1.09, 1.51), and MAILES 1.36 (1.10, 1.68). High ORPwake was also associated with a ~28% decrease in excessive daytime sleepiness in the MAILES dataset. ORPNREM was associated with a ~30% increase in poor sleep quality in HypnoLaus but not in MAILES. No consistent associations across cohorts were detected using traditional polysomnography markers. CONCLUSIONS ORP, a novel EEG-derived metric, measured during wake periods predicts poor sleep quality in two independent cohorts. Consistent with insomnia symptomatology of poor perceived sleep in the absence of excessive daytime sleepiness, ORPwake may provide valuable objective mechanistic insight into physiological hyperarousal.
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Affiliation(s)
- Bastien Lechat
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Camila Hirotsu
- Center for Investigation and Research in Sleep, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Sarah Appleton
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Magdy Younes
- Department of Medicine, University of Manitoba, Winnipeg, MN, Canada
| | - Robert J Adams
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Kristy Hansen
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Branko Zajamsek
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Gary Wittert
- Freemasons Centre for Male Health and Wellness, Adelaide University, Adelaide, SA, Australia
| | - Peter Catcheside
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Raphael Heinzer
- Center for Investigation and Research in Sleep, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Danny J Eckert
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
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25
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Yoon G, Lee MH, Oh SM, Choi JW, Yoon SY, Lee YJ. Negative and positive sleep state misperception in patients with insomnia: factors associated with sleep perception. J Clin Sleep Med 2022; 18:1789-1795. [PMID: 35383568 DOI: 10.5664/jcsm.9974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES In the present study, factors associated with sleep perception were identified by comparing clinical characteristics and polysomnographic variables between insomnia patients with negative and positive sleep state misperception (NSSM and PSSM, respectively). METHODS Subjective and objective sleep measures were retrospectively collected, including the Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), and a questionnaire on "morning feeling" after nocturnal polysomnography (PSG) in 150 patients with insomnia. Based on the misperception index (MI), participants were classified into NSSM (MI > 0, n = 115) and PSSM (MI < 0, n = 35) groups. RESULTS The PSSM group had more N3 sleep on nocturnal PSG than the NSSM group (p=0.002). The NSSM group showed a higher PSQI score (p<0.001), longer subjective sleep onset latency (SOL) (p=0.001), and a greater SOL discrepancy (p=0.001). Subjective feelings of tiredness and morning awakenings in the morning were higher in the NSSM group (p=0.029 and p=0.038). The MI negatively correlated with a proportion of N3 sleep (p=0.005) and positively correlated with PSQI (p<0.001), morning awakenings (p=0.01), subjective SOL (p<0.001), and SOL discrepancy (p<0.001) in insomnia patients. Multiple regression analysis showed that N3 sleep, PSQI, and morning awakenings were significantly associated with MI in insomnia patients. CONCLUSIONS The proportion of slow-wave sleep and subjective measures may be associated with perception of sleep in insomnia patients. Objective and subjective characteristics of insomnia patients should be carefully evaluated and managed because they may influence the perception of sleep.
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Affiliation(s)
- Gahui Yoon
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University, College of Medicine and Hospital, Seoul, Republic of Korea
| | - Mi Hyun Lee
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University, College of Medicine and Hospital, Seoul, Republic of Korea
| | - Seong Min Oh
- Department of Psychiatry, Dongguk University Ilsan Hospital, Ilsan, Republic of Korea
| | - Jae-Won Choi
- Department of Neuropsychiatry, Eulji University School of Medicine, Eulji General Hospital, Seoul, Republic of Korea
| | - So Young Yoon
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University, College of Medicine and Hospital, Seoul, Republic of Korea
| | - Yu Jin Lee
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University, College of Medicine and Hospital, Seoul, Republic of Korea
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26
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Xu B, Cai Q, Mai R, Liang H, Huang J, Yang Z. Sleep EEG characteristics associated with total sleep time misperception in young adults: an exploratory study. BEHAVIORAL AND BRAIN FUNCTIONS : BBF 2022; 18:2. [PMID: 35073948 PMCID: PMC8788124 DOI: 10.1186/s12993-022-00188-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 01/17/2022] [Indexed: 11/10/2022]
Abstract
Background Power spectral analysis (PSA) is one of the most commonly-used EEG markers of cortical hyperarousal, and can help to understand subjective–objective sleep discrepancy (SOD). Age is associated with decreased sleep EEG activity; however, the PSA of young adults is currently limited. Thus, this study aimed to examine the correlation of spectral EEG power with total sleep time (TST) misperception in young patients. Methods Forty-seven young adults were recruited and underwent a polysomnography recording in a sleep laboratory. Clinical records and self-report questionnaires of all patients were collected, and were used to categorize patients into a good sleeper (GS) group (n = 10), insomnia with a low mismatch group (IWLM, n = 19) or participant with a high mismatch group (IWHM, n = 18). PSA was applied to the first 6 h of sleep. Results IWHM patients exhibited a higher absolute power and relative beta/delta ratio in the frontal region compared to the GS group. No significant difference was observed between the IWLM and GS groups. No significant difference in the above parameters was observed between the IWHM and IWLM groups. Moreover, The SOD of TST was positively correlated with frontal absolute power and the relative beta/delta ratio (r = 0.363, P = 0.012; r = 0.363, P = 0.012), and absolute beta EEG spectral power (r = 0.313, P = 0.032) as well as the number of arousals. Conclusions Increased frontal beta/delta ratio EEG power was found in young patients with a high mismatch but not in those with a low mismatch, compared with good sleepers. This suggests that there exists increased cortical activity in IWHM patients. In addition, the frontal beta/delta ratio and the number of arousals was positively correlated with the SOD of TST.
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Affiliation(s)
- Biyun Xu
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China. .,Applicants for Doctoral Degree with an Equivalent Educational Level in Guangzhou University of Chinese Medicine, Guangzhou, 510006, China. .,, 111 Dade Road, Yuexiu District, Guangzhou, 510120, China.
| | - Qinghao Cai
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China
| | - Runru Mai
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China
| | - Hailong Liang
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China
| | - Jiayu Huang
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China
| | - Zhimin Yang
- Department of Fangcun Sleep-Disorder, the Second Clinical College of Guangzhou University of Chinese Medicine (Guangdong Provincial Hopsital of Chinese Medicine), Guangzhou, 510120, China
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27
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Avvenuti G, Bernardi G. Local sleep: A new concept in brain plasticity. HANDBOOK OF CLINICAL NEUROLOGY 2022; 184:35-52. [PMID: 35034748 DOI: 10.1016/b978-0-12-819410-2.00003-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Traditionally, sleep and wakefulness have been considered as two global, mutually exclusive states. However, this view has been challenged by the discovery that sleep and wakefulness are actually locally regulated and that islands of these two states may often coexist in the same individual. Importantly, such a local regulation seems to be the key for many essential functions of sleep, including the maintenance of cognitive efficiency and the consolidation of new skills and memories. Indeed, local changes in sleep-related oscillations occur in brain areas that are used and involved in learning during wakefulness. In turn, these changes directly modulate experience-dependent brain adaptations and the consolidation of newly acquired memories. In line with these observations, alterations in the regional balance between wake- and sleep-like activity have been shown to accompany many pathologic conditions, including psychiatric and neurologic disorders. In the last decade, experimental research has started to shed light on the mechanisms involved in the local regulation of sleep and wakefulness. The results of this research have opened new avenues of investigation regarding the function of sleep and have revealed novel potential targets for the treatment of several pathologic conditions.
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Affiliation(s)
- Giulia Avvenuti
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giulio Bernardi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy.
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28
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Mortality associated with nonrestorative short sleep or nonrestorative long time-in-bed in middle-aged and older adults. Sci Rep 2022; 12:189. [PMID: 34997027 PMCID: PMC8741976 DOI: 10.1038/s41598-021-03997-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 12/14/2021] [Indexed: 11/30/2022] Open
Abstract
Associations of sleep duration with human health could differ depending on whether sleep is restorative. Using data from 5804 participants of the Sleep Heart Health Study, we examined the longitudinal association of sleep restfulness combined with polysomnography-measured total sleep time (TST) or time in bed (TIB), representing different sleeping behaviors, with all-cause mortality. Among middle-aged adults, compared with restful intermediate TST quartile, the lowest TST quartile with feeling unrested was associated with higher mortality (hazard ratio [HR], 1.54; 95% confidence interval [CI] 1.01–2.33); the highest TST quartile with feeling rested was associated with lower mortality (HR, 0.55; 95% CI 0.32–0.97). Among older adults, the highest TIB quartile with feeling unrested was associated with higher mortality, compared with restful intermediate TIB quartile (HR, 1.57; 95% CI 1.23–2.01). Results suggest a role of restorative sleep in differentiating the effects of sleep duration on health outcomes in midlife and beyond.
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29
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Kao CH, D'Rozario AL, Lovato N, Wassing R, Bartlett D, Memarian N, Espinel P, Kim JW, Grunstein RR, Gordon CJ. Insomnia subtypes characterised by objective sleep duration and NREM spectral power and the effect of acute sleep restriction: an exploratory analysis. Sci Rep 2021; 11:24331. [PMID: 34934082 PMCID: PMC8692344 DOI: 10.1038/s41598-021-03564-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/06/2021] [Indexed: 02/08/2023] Open
Abstract
Insomnia disorder (ID) is a heterogeneous disorder with proposed subtypes based on objective sleep duration. We speculated that insomnia subtyping with additional power spectral analysis and measurement of response to acute sleep restriction may be informative in overall assessment of ID. To explore alternative classifications of ID subtypes, insomnia patients (n = 99) underwent two consecutive overnight sleep studies: (i) habitual sleep opportunity (polysomnography, PSG) and, (ii) two hours less sleep opportunity (electroencephalography, EEG), with the first night compared to healthy controls (n = 25). ID subtypes were derived from data-driven classification of PSG, EEG spectral power and interhemispheric EEG asymmetry index. Three insomnia subtypes with different sleep duration and NREM spectral power were identified. One subtype (n = 26) had shorter sleep duration and lower NREM delta power than healthy controls (short-sleep delta-deficient; SSDD), the second subtype (n = 51) had normal sleep duration but lower NREM delta power than healthy controls (normal-sleep delta-deficient; NSDD) and a third subtype showed (n = 22) no difference in sleep duration or delta power from healthy controls (normal neurophysiological sleep; NNS). Acute sleep restriction improved multiple objective sleep measures across all insomnia subtypes including increased delta power in SSDD and NSDD, and improvements in subjective sleep quality for SSDD (p = 0.03), with a trend observed for NSDD (p = 0.057). These exploratory results suggest evidence of novel neurophysiological insomnia subtypes that may inform sleep state misperception in ID and with further research, may provide pathways for personalised care.
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Affiliation(s)
- Chien-Hui Kao
- CIRUS Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, Australia
| | - Angela L D'Rozario
- CIRUS Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, Australia.,School of Psychology, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Nicole Lovato
- Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Rick Wassing
- CIRUS Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, Australia.,Faculty of Medicine and Health, The University Sydney, Camperdown, Sydney, NSW, 2050, Australia
| | - Delwyn Bartlett
- CIRUS Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, Australia.,Faculty of Medicine and Health, The University Sydney, Camperdown, Sydney, NSW, 2050, Australia
| | - Negar Memarian
- CIRUS Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, Australia.,British Columba Children's Hospital Research Institute, Vancouver, Canada
| | - Paola Espinel
- CIRUS Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, Australia
| | - Jong-Won Kim
- CIRUS Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, Australia.,Department of Healthcare IT, Inje University, Inje, South Korea
| | - Ronald R Grunstein
- CIRUS Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, Australia.,Faculty of Medicine and Health, The University Sydney, Camperdown, Sydney, NSW, 2050, Australia.,Sleep and Severe Mental Illness Clinic, CPC-RPA Clinic, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Christopher J Gordon
- CIRUS Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, Australia. .,Faculty of Medicine and Health, The University Sydney, Camperdown, Sydney, NSW, 2050, Australia.
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Stephan AM, Lecci S, Cataldi J, Siclari F. Conscious experiences and high-density EEG patterns predicting subjective sleep depth. Curr Biol 2021; 31:5487-5500.e3. [PMID: 34710350 DOI: 10.1016/j.cub.2021.10.012] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 07/06/2021] [Accepted: 10/06/2021] [Indexed: 10/20/2022]
Abstract
What accounts for feeling deeply asleep? Standard sleep recordings only incompletely reflect subjective aspects of sleep and some individuals with so-called sleep misperception frequently feel awake although sleep recordings indicate clear-cut sleep. To identify the determinants of sleep perception, we performed 787 awakenings in 20 good sleepers and 10 individuals with sleep misperception and interviewed them about their subjective sleep depth while they underwent high-density EEG sleep recordings. Surprisingly, in good sleepers, sleep was subjectively lightest in the first 2 h of non-rapid eye movement (NREM) sleep, generally considered the deepest sleep, and deepest in rapid eye movement (REM) sleep. Compared to good sleepers, sleep misperceptors felt more frequently awake during sleep and reported lighter REM sleep. At the EEG level, spatially widespread high-frequency power was inversely related to subjective sleep depth in NREM sleep in both groups and in REM sleep in misperceptors. Subjective sleep depth positively correlated with dream-like qualities of reports of mental activity. These findings challenge the widely held notion that slow wave sleep best accounts for feeling deeply asleep. Instead, they indicate that subjective sleep depth is inversely related to a neurophysiological process that predominates in early NREM sleep, becomes quiescent in REM sleep, and is reflected in high-frequency EEG activity. In sleep misperceptors, this process is more frequently active, more spatially widespread, and abnormally persists into REM sleep. These findings help identify the neuromodulatory systems involved in subjective sleep depth and are relevant for studies aiming to improve subjective sleep quality.
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Affiliation(s)
- Aurélie M Stephan
- Center for Investigation and Research on Sleep, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1010 Lausanne, Switzerland
| | - Sandro Lecci
- Center for Investigation and Research on Sleep, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1010 Lausanne, Switzerland
| | - Jacinthe Cataldi
- Center for Investigation and Research on Sleep, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1010 Lausanne, Switzerland
| | - Francesca Siclari
- Center for Investigation and Research on Sleep, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1010 Lausanne, Switzerland; Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1010 Lausanne, Switzerland.
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31
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Wu R, Zhong SY, Wang GH, Wu MY, Xu JF, Zhu H, Liu LL, Su WJ, Cao ZY, Jiang CL. The Effect of Brief Mindfulness Meditation on Suicidal Ideation, Stress and Sleep Quality. Arch Suicide Res 2021; 27:215-230. [PMID: 34612785 DOI: 10.1080/13811118.2021.1982800] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Suicide is the fourth leading cause of death for individuals aged 15-29 years, and early intervention on suicidal ideation and risk factors should be priortized. Brief mindfulness meditation (BMM) is convenient and cost-effective in improving physical and mental well-being, but less is known about its efficacy for suicidal ideation, stress and sleep quality. We investigated the effects of BMM on suicidal ideation, stress, and sleep quality for individuals with suicide risk. METHODS Sixty-four college students with high suicidal ideation (aged 18-30 years) were randomly allocated to either a BMM (n = 32) or control group (n = 32). The BMM was based on Anapanasati and core mindfulness concepts. Sixty participants completed all scheduled sessions including pretest, one month of intervention or waiting, and posttest. Suicidal ideation was measured with the Beck Scale for Suicidal Ideation. Stress was evaluated using the Perceived Stress Scale and salivary cortisol levels. Sleep was measured using the Pittsburgh Sleep Quality Index and actigraphy accompanied with 7-day sleep diaries. RESULTS Post-intervention, the BMM group showed significant decrease in suicidal ideation with a large effect size; the decrease showed a medium effect size in the control group. The BMM group, but not the control group, showed significant decrease in morning salivary cortisol and sleep latency, and improved sleep efficiency. CONCLUSIONS BMM could help reduce suicidal ideation, stress, and sleep disturbance for individuals with high suicidal ideation and it may implicate effective suicide prevention strategy.
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32
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Peter-Derex L. Beyond the waves: what does the EEG still hold a century after H. Berger ? Sleep 2021; 44:6316215. [PMID: 34228798 DOI: 10.1093/sleep/zsab165] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Affiliation(s)
- Laure Peter-Derex
- Center for Sleep Medicine and Respiratory Diseases, Lyon University Hospital, Lyon 1 University, Lyon, France.,Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028 - PAM team, Lyon, France
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33
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Cardis R, Lecci S, Fernandez LM, Osorio-Forero A, Chu Sin Chung P, Fulda S, Decosterd I, Lüthi A. Cortico-autonomic local arousals and heightened somatosensory arousability during NREMS of mice in neuropathic pain. eLife 2021; 10:65835. [PMID: 34227936 PMCID: PMC8291975 DOI: 10.7554/elife.65835] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 07/02/2021] [Indexed: 12/22/2022] Open
Abstract
Frequent nightly arousals typical for sleep disorders cause daytime fatigue and present health risks. As such arousals are often short, partial, or occur locally within the brain, reliable characterization in rodent models of sleep disorders and in human patients is challenging. We found that the EEG spectral composition of non-rapid eye movement sleep (NREMS) in healthy mice shows an infraslow (~50 s) interval over which microarousals appear preferentially. NREMS could hence be vulnerable to abnormal arousals on this time scale. Chronic pain is well-known to disrupt sleep. In the spared nerve injury (SNI) mouse model of chronic neuropathic pain, we found more numerous local cortical arousals accompanied by heart rate increases in hindlimb primary somatosensory, but not in prelimbic, cortices, although sleep macroarchitecture appeared unaltered. Closed-loop mechanovibrational stimulation further revealed higher sensory arousability. Chronic pain thus preserved conventional sleep measures but resulted in elevated spontaneous and evoked arousability. We develop a novel moment-to-moment probing of NREMS vulnerability and propose that chronic pain-induced sleep complaints arise from perturbed arousability.
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Affiliation(s)
- Romain Cardis
- Department of Fundamental Neurosciences, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.,Pain Center, Department of Anesthesiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Sandro Lecci
- Department of Fundamental Neurosciences, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Laura Mj Fernandez
- Department of Fundamental Neurosciences, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Alejandro Osorio-Forero
- Department of Fundamental Neurosciences, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Paul Chu Sin Chung
- Pain Center, Department of Anesthesiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Stephany Fulda
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Civic Hospital (EOC) of Lugano, Lugano, Switzerland
| | - Isabelle Decosterd
- Pain Center, Department of Anesthesiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Anita Lüthi
- Department of Fundamental Neurosciences, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
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34
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Castelnovo A, Ferri R, Galbiati A, Rossi A, Zucconi M, Castronovo V, Strambi LF, Manconi M. Extreme sleep state misperception: From psychopathology to objective-subjective sleep measures. Int J Psychophysiol 2021; 167:77-85. [PMID: 34216692 DOI: 10.1016/j.ijpsycho.2021.06.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 06/20/2021] [Accepted: 06/21/2021] [Indexed: 11/20/2022]
Abstract
STUDY OBJECTIVES We tested the hypothesis that patients with extreme sleep state misperception display higher levels of psychopathology and reduced quantitative estimation abilities compared to other patients with insomnia. Secondary aims included the evaluation of group differences in subjective self-reported quality of life and sleep quality and objective sleep parameters. METHODS In this cross-sectional, observational study, 249 patients with insomnia underwent a video-polysomnography with a subsequent morning interview to assess self-reported sleep estimates and filled in a large battery of questionnaires. Patients were classified into High Misperception (HM) and Moderate Misperception (MM) groups, according to the complement of the ratio between self-reported total sleep time and objective total sleep time (Misperception Index). RESULTS No significant differences emerged in any of the psychopathological measures considered between the HM and the MM group. Similarly, no effect was observed in quantitative estimation abilities. HM patients displayed a significantly increased number of awakenings per hour of sleep and a reduced dream recall rate. Their overall sleep quality and quality of life was significantly impaired. CONCLUSIONS Future research on sleep misperception should focus on factors other than the level of psychopathology and estimation abilities, in particular sleep microstructure and quantitative EEG studies in both REM and NREM sleep.
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Affiliation(s)
- Anna Castelnovo
- Sleep Medicine, Neurocenter of Southern Switzerland, Regional Hospital of Lugano, Lugano, Switzerland; Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland; University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
| | | | - Andrea Galbiati
- Division of Neuroscience, Sleep Disorders Center-Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy; School of Psychology, Vita-Salute San Raffaele University, Milan, Italy
| | - Alessandro Rossi
- Department of Philosophy, Sociology, Education, and Applied Psychology, Section of Applied Psychology, University of Padova, Padova, Italy
| | - Marco Zucconi
- Division of Neuroscience, Sleep Disorders Center-Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Vincenza Castronovo
- Division of Neuroscience, Sleep Disorders Center-Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Luigi-Ferini Strambi
- Division of Neuroscience, Sleep Disorders Center-Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy; School of Psychology, Vita-Salute San Raffaele University, Milan, Italy
| | - Mauro Manconi
- Sleep Medicine, Neurocenter of Southern Switzerland, Regional Hospital of Lugano, Lugano, Switzerland; Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
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Matthews KA, Lee L, Kravitz HM, Joffe H, Neal-Perry G, Swanson LM, Evans MA, Hall MH. Influence of the menopausal transition on polysomnographic sleep characteristics: a longitudinal analysis. Sleep 2021; 44:6291662. [PMID: 34081126 PMCID: PMC8598193 DOI: 10.1093/sleep/zsab139] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 04/08/2021] [Indexed: 01/28/2023] Open
Abstract
STUDY OBJECTIVES To evaluate how change in menopausal status related to spectral analysis and polysomnographic measures of sleep characteristics. METHODS The Study of Women's Health Across the Nation (SWAN) Ancillary Sleep Study evaluated sleep characteristics of 159 women who were initially pre- or early perimenopausal and repeated the assessment about 3½ years later when 38 were pre- or early perimenopausal, 31 late perimenopausal, and 90 postmenopausal. Participants underwent in-home ambulatory polysomnography for two to three nights. Average EEG power in the delta and beta frequency bands was calculated during NREM and REM sleep, and sleep duration, wake after sleep onset (WASO), and apnea hypopnea index (AHI) were based on visually-scored sleep. RESULTS The women who transitioned to postmenopause had increased beta NREM EEG power at the second assessment, compared to women who remained pre-or early premenopausal; no other sleep measures varied by change in menopausal status. In multivariate models the associations remained; statistical controls for self-reported hot flashes did not explain findings. In secondary analysis, NREM beta power at the second assessment was greater among women who transitioned into the postmenopause after adjustments for initial NREM beta power. CONCLUSIONS Sleep duration and WASO did not vary by menopause transition group across assessments. Consistent with prior cross-sectional analysis, elevated beta EEG power in NREM sleep was apparent among women who transitioned to postmenopause, suggesting that independent of self-reported hot flashes, the menopausal transition is associated with physiological hyperarousal during sleep.
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Affiliation(s)
- Karen A Matthews
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA,Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA,Corresponding author. Karen A. Matthews, 3811 O’Hara St, Pittsburgh, PA 15213.
| | - Laisze Lee
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Howard M Kravitz
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA,Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Hadine Joffe
- Connors Center for Women’s Health and Gender Biology, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Genevieve Neal-Perry
- Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, NC, USA
| | - Leslie M Swanson
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Marissa A Evans
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Martica H Hall
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA,Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
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Truong MK, Berger M, Haba-Rubio J, Siclari F, Marques-Vidal P, Heinzer R. Impact of smoking on sleep macro- and microstructure. Sleep Med 2021; 84:86-92. [PMID: 34126401 DOI: 10.1016/j.sleep.2021.05.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 05/14/2021] [Accepted: 05/20/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Existing data suggest that smoking may be associated with sleep disturbances. This study aimed to determine the association between smoking and both subjective and objective sleep quality. METHODS Cross-sectional analysis of sleep characteristics in 3233 participants from the population-based CoLaus-HypnoLaus cohort (52.2% women, mean age 56.6 ± 10.2 years) who completed questionnaires on sleep quality, of whom 1489 (46%) had a full polysomnography. Smoking data were self-reported; participants were classified by smoking status as current, former or never smokers. Primary outcomes were subjective sleep quality assessed by sleep questionnaires, and objective sleep quality based on polysomnography (sleep macrostructure), including power spectral analysis of the electroencephalogram on C4 electrode (sleep microstructure), quantifying the relative amount of delta power (1-4 Hz), a marker of sleep depth, and arousal-associated alpha power (8-12 Hz). RESULTS Current smokers had a shift toward faster sleep electroencephalogram activity with lower delta power in non-REM sleep compared with former and never smokers (-2.8 ± 0.4% and -2.4 ± 0.4%, respectively; both p < 0.001) and higher alpha power (+0.8 ± 0.2%; p < 0.001) compared with never smokers. There was a dose-dependent negative association between electroencephalogram delta power and smoking intensity (r2 = -1.2 [-1.9, -0.5]; p = 0.001). Additionally, mean nocturnal oxygen saturation was lower in current smokers. CONCLUSIONS Current smokers had decreased objective sleep quality, with a dose-dependent association between smoking intensity and decrease in electroencephalogram delta power during non-REM sleep, in addition to an increase in alpha power. Considering the importance of sleep quality for wellbeing and health, these results provide further data to support smoking cessation.
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Affiliation(s)
- Minh Khoa Truong
- Department of Medicine, Service of Pulmonary Medicine, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland.
| | - Mathieu Berger
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - José Haba-Rubio
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Francesca Siclari
- Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland; Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Service of Internal Medicine, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Raphaël Heinzer
- Department of Medicine, Service of Pulmonary Medicine, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland; Center for Investigation and Research in Sleep (CIRS), Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
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37
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Zou G, Li Y, Liu J, Zhou S, Xu J, Qin L, Shao Y, Yao P, Sun H, Zou Q, Gao JH. Altered thalamic connectivity in insomnia disorder during wakefulness and sleep. Hum Brain Mapp 2020; 42:259-270. [PMID: 33048406 PMCID: PMC7721231 DOI: 10.1002/hbm.25221] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 09/16/2020] [Accepted: 09/20/2020] [Indexed: 01/16/2023] Open
Abstract
Insomnia disorder is the most common sleep disorder and has drawn increasing attention. Many studies have shown that hyperarousal plays a key role in the pathophysiology of insomnia disorder. However, the specific brain mechanisms underlying insomnia disorder remain unclear. To elucidate the neuropathophysiology of insomnia disorder, we investigated the brain functional networks of patients with insomnia disorder and healthy controls across the sleep–wake cycle. EEG‐fMRI data from 33 patients with insomnia disorder and 31 well‐matched healthy controls during wakefulness and nonrapid eye movement sleep, including N1, N2 and N3 stages, were analyzed. A medial and anterior thalamic region was selected as the seed considering its role in sleep–wake regulation. The functional connectivity between the thalamic seed and voxels across the brain was calculated. ANOVA with factors “group” and “stage” was performed on thalamus‐based functional connectivity. Correlations between the misperception index and altered functional connectivity were explored. A group‐by‐stage interaction was observed at widespread cortical regions. Regarding the main effect of group, patients with insomnia disorder demonstrated decreased thalamic connectivity with the left amygdala, parahippocampal gyrus, putamen, pallidum and hippocampus across wakefulness and all three nonrapid eye movement sleep stages. The thalamic connectivity in the subcortical cluster and the right temporal cluster in N1 was significantly correlated with the misperception index. This study demonstrated the brain functional basis in insomnia disorder and illustrated its relationship with sleep misperception, shedding new light on the brain mechanisms of insomnia disorder and indicating potential therapeutic targets for its treatment.
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Affiliation(s)
- Guangyuan Zou
- Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China.,Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Yuezhen Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.,Department of Neuropsychiatry, Behavioral Neurology and Sleep Center, Beijing Tian Tan Hospital, Capital Medical University, Beijing, China
| | - Jiayi Liu
- Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China.,Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Shuqin Zhou
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Jing Xu
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.,Laboratory of Applied Brain and Cognitive Sciences, College of International Business, Shanghai International Studies University, Shanghai, China
| | - Lang Qin
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Yan Shao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Ping Yao
- Department of Physiology, College of Basic Medicine, Inner Mongolia Medical University, Hohhot, China
| | - Hongqiang Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qihong Zou
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Jia-Hong Gao
- Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China.,Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.,McGovern Institute for Brain Research, Peking University, Beijing, China
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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: 165] [Impact Index Per Article: 41.3] [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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