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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] [MESH Headings] [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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Riemann D, Dressle RJ, Benz F, Spiegelhalder K, Johann AF, Nissen C, Hertenstein E, Baglioni C, Palagini L, Krone L, Perlis ML, Domschke K, Berger M, Feige B. Chronic insomnia, REM sleep instability and emotional dysregulation: A pathway to anxiety and depression? J Sleep Res 2024:e14252. [PMID: 38811745 DOI: 10.1111/jsr.14252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 04/21/2024] [Accepted: 05/19/2024] [Indexed: 05/31/2024]
Abstract
The world-wide prevalence of insomnia disorder reaches up to 10% of the adult population. Women are more often afflicted than men, and insomnia disorder is a risk factor for somatic and mental illness, especially depression and anxiety disorders. Persistent hyperarousals at the cognitive, emotional, cortical and/or physiological levels are central to most theories regarding the pathophysiology of insomnia. Of the defining features of insomnia disorder, the discrepancy between minor objective polysomnographic alterations of sleep continuity and substantive subjective impairment in insomnia disorder remains enigmatic. Microstructural alterations, especially in rapid eye movement sleep ("rapid eye movement sleep instability"), might explain this mismatch between subjective and objective findings. As rapid eye movement sleep represents the most highly aroused brain state during sleep, it might be particularly prone to fragmentation in individuals with persistent hyperarousal. In consequence, mentation during rapid eye movement sleep may be toned more as conscious-like wake experience, reflecting pre-sleep concerns. It is suggested that this instability of rapid eye movement sleep is involved in the mismatch between subjective and objective measures of sleep in insomnia disorder. Furthermore, as rapid eye movement sleep has been linked in previous works to emotional processing, rapid eye movement sleep instability could play a central role in the close association between insomnia and depressive and anxiety disorders.
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Affiliation(s)
- Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Raphael J Dressle
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Fee Benz
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Anna F Johann
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Institute of Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christoph Nissen
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Division of Psychiatric Specialties, Department of Psychiatry, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Elisabeth Hertenstein
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Chiara Baglioni
- Human Sciences Department, University of Rome Guglielmo Marconi Rome, Rome, Italy
| | - Laura Palagini
- Department of Experimental and Clinical Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Lukas Krone
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Department of Physiology, Anatomy and Genetics, Sir Jules Thorn Sleep and Circadian Neuroscience Institute, University of Oxford, Oxford, UK
- Centre for Neural Circuits and Behaviour, University of Oxford, Oxford, UK
| | - Michael L Perlis
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Center for Mental Health (DZPG) partner site Berlin, Berlin, Germany
| | - Mathias Berger
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Bernd Feige
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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Wulterkens BM, Hermans LWA, Fonseca P, Janssen HCJP, van Hirtum PV, Overeem S, van Gilst MM. Heart rate response to cortical arousals in patients with isolated obstructive sleep apnea and with comorbid insomnia (COMISA). Sleep Breath 2024; 28:735-744. [PMID: 38062226 DOI: 10.1007/s11325-023-02954-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/25/2023] [Accepted: 11/20/2023] [Indexed: 05/31/2024]
Abstract
PURPOSE Comorbid insomnia often occurs in patients with obstructive sleep apnea (OSA), referred to as COMISA. Cortical arousals manifest as a common feature in both OSA and insomnia, often accompanied by elevated heart rate (HR). Our objective was to evaluate the heart rate response to nocturnal cortical arousals in patients with COMISA and patients with OSA alone. METHODS We analyzed data from patients with COMISA and from patients with OSA matched for apnea-hypopnea index. Sleep staging and analysis of respiratory events and cortical arousals were performed using the Philips Somnolyzer automatic scoring system. Beat-by-beat HR was analyzed from the onset of the cortical arousal to 30 heartbeats afterwards. HR responses were divided into peak and recovery phases. Cortical arousals were separately evaluated according to subtype (related to respiratory events and spontaneous) and duration (3-6 s, 6-10 s, 10-15 s). RESULTS A total of 72 patients with COMISA and 72 patients with OSA were included in this study. There were no overall group differences in the number of cortical arousals with and without autonomic activation. No significant differences were found for spontaneous cortical arousals. The OSA group had more cortical arousals related to respiratory events (21.0 [14.8-30.0] vs 16.0 [9.0-27.0], p = 0.016). However, the COMISA group had longer cortical arousals (7.2 [6.4-7.8] vs 6.7 [6.2-7.7] s, p = 0.024) and the HR recovery phase was prolonged (52.5 [30.8-82.5] vs 40.0 [21.8-55.5] beats/min, p = 0.017). Both the peak and the recovery phase for longer cortical arousals with a duration of 10-15 s were significantly higher in patients with COMISA compared to patients with OSA (47.0 [27.0-97.5] vs 34.0 [21.0-71.0] beats/min, p = 0.032 and 87.0 [47.0-132.0] vs 71.0 [43.0-103.5] beats/min, p = 0.049, respectively). CONCLUSIONS The HR recovery phase after cortical arousals related to respiratory events is prolonged in patients with COMISA compared to patients with OSA alone. This response could be indicative of the insomnia component in COMISA.
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Affiliation(s)
- Bernice M Wulterkens
- Department of Electrical Engineering, Eindhoven University of Technology, PO BOX 513, Eindhoven, 5600 MB, The Netherlands.
- Philips Research, Eindhoven, The Netherlands.
| | | | - Pedro Fonseca
- Department of Electrical Engineering, Eindhoven University of Technology, PO BOX 513, Eindhoven, 5600 MB, The Netherlands
- Philips Research, Eindhoven, The Netherlands
| | | | | | - Sebastiaan Overeem
- Department of Electrical Engineering, Eindhoven University of Technology, PO BOX 513, Eindhoven, 5600 MB, The Netherlands
- Sleep Medicine Center Kempenhaeghe, Heeze, The Netherlands
| | - Merel M van Gilst
- Department of Electrical Engineering, Eindhoven University of Technology, PO BOX 513, Eindhoven, 5600 MB, The Netherlands
- Sleep Medicine Center Kempenhaeghe, Heeze, The Netherlands
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Freund W, Weber F. The Function of Sleep and the Treatment of Primary Insomnia. DEUTSCHES ARZTEBLATT INTERNATIONAL 2023; 120:863-870. [PMID: 37942822 PMCID: PMC10840130 DOI: 10.3238/arztebl.m2023.0228] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 10/16/2023] [Accepted: 10/16/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Approximately 21 900 women and 35 300 men developed lung cancer in Germany in 2018, and 16 999 women and 27 882 men died of it. The outcome mainly depends on the tumor stage. In early stages (stage I or II), treatment can be curative; unfortunately, because early-stage lung cancers are generally asymptom - atic, 74% of women and 77% of men already have advanced-stage disease (stage III or IV) at the time of diagnosis. Screening with low-dose computed tomography is an option enabling early diagnosis and curative treatment. METHODS This review is based on pertinent articles retrieved by a selective search of the literature on screening for lung cancer. RESULTS In the studies of lung cancer screening that have been published to date, sensitivity ranged from 68.5% to 93.8%, and specificity from 73.4% to 99.2%. A meta-analysis by the German Federal Office for Radiation Protection revealed a 15% reduction in lung cancer mortality when low-dose computed tomography was used in persons who were judged to be at high risk for lung cancer (risk ratio [RR] 0.85, 95% confidence interval [0.77; 0.95]). 1.9% of subjects died in the screening arm of the meta-analysis, and 2.2% in the control group. The observation periods ranged from 6.6 to 10 years; false-positive rates ranged from 84.9% to 96.4%. Malignant findings were confirmed in 45% to 70% of the biopsies or resective procedures that were performed. CONCLUSION Systematic lung cancer screening with low-dose CT lowers mortality from lung cancer in (current or former) heavy smokers. This benefit must be weighed against the high rate of false-positive findings and overdiagnoses.
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Affiliation(s)
- Wolfgang Freund
- Neurocenter Biberach
- Diagnostic and Interventional Radiology, Ulm University Hospital, Ulm
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Dressle RJ, Riemann D. Hyperarousal in insomnia disorder: Current evidence and potential mechanisms. J Sleep Res 2023; 32:e13928. [PMID: 37183177 DOI: 10.1111/jsr.13928] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/25/2023] [Accepted: 04/25/2023] [Indexed: 05/16/2023]
Abstract
Insomnia disorder is among the most frequent mental disorders, making research on its aetiology and pathophysiology particularly important. A unifying element of many aetiological and pathophysiological models is that they support or even centre on the role of some form of hyperarousal. In this theoretical review, we aim to summarise the current evidence on hyperarousal in insomnia. Hyperarousal is discussed as a state of relatively increased arousal in physiological, cortical and cognitive-emotional domains. Regarding physiological hyperarousal, there is no conclusive evidence for the involvement of autonomous variables such as heart rate and heart rate variability, whereas recent evidence points to a pathophysiological role of neuroendocrine variables. In addition, current literature supports a central involvement of cortical arousal, that is, high-frequency electroencephalographic activity. An increasingly important focus in the literature is on the role of other microstructural sleep parameters, especially the existence of microarousals during sleep. Beyond that, a broad range of evidence exists supporting the role of cognitive-emotional hyperarousal in the form of insomnia-related thought and worries, and their concomitant emotional symptoms. Besides being a state marker of insomnia, hyperarousal is considered crucial for the predisposition to insomnia and for the development of comorbid mental disorders. Thus, beyond presenting evidence from cross-sectional studies on markers of hyperarousal in insomnia, hypotheses about the mechanisms of hyperarousal are presented. Nevertheless, longitudinal studies are needed to further elucidate the mechanism of hyperarousal throughout the course of the disorder, and future studies should also focus on similarities and differences in hyperarousal across different diagnostic entities.
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Affiliation(s)
- Raphael J Dressle
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Center for Basics in NeuroModulation (NeuroModulBasics), University of Freiburg, Freiburg, Germany
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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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