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Rosenblum Y, Bogdány T, Nádasy LB, Chen X, Kovács I, Gombos F, Ujma P, Bódizs R, Adelhöfer N, Simor P, Dresler M. Aperiodic neural activity distinguishes between phasic and tonic REM sleep. J Sleep Res 2024:e14439. [PMID: 39724862 DOI: 10.1111/jsr.14439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 11/16/2024] [Accepted: 11/28/2024] [Indexed: 12/28/2024]
Abstract
Traditionally categorized as a uniform sleep phase, rapid eye movement sleep exhibits substantial heterogeneity with its phasic and tonic constituents showing marked differences regarding many characteristics. Here, we investigate how tonic and phasic states differ with respect to aperiodic neural activity, a marker of arousal and sleep. Rapid eye movement sleep heterogeneity was assessed using either binary phasic-tonic (n = 97) or continuous (in 60/97 participants) approach. Slopes of the aperiodic power component were measured in the low (2-30 Hz, n = 97) and high (30-48 Hz, n = 60/97) frequency bands with the Irregularly Resampled Auto-Spectral Analysis applied on electroencephalography. Rapid eye movement amplitudes were quantified with the YASA applied on electrooculography (n = 60/97). The binary approach revealed that the phasic state is characterized by steeper low-band slopes with small effect sizes and some topographical heterogeneity over datasets. High-band aperiodic slopes were flatter in the phasic versus tonic state with medium-to-large effect sizes over all areas in both datasets. The continuous approach confirmed these findings. The temporal analysis within rapid eye movement episodes revealed that aperiodic activity preceding or following EM events did not cross-correlate with eye movement amplitudes. This study demonstrates that aperiodic slopes can serve as a reliable marker able to differentiate between phasic and tonic constituents of rapid eye movement sleep and reflect phasic rapid eye movement event intensity. However, rapid eye movement events could not be predicted by preceding aperiodic activity and vice versa, at least not with scalp electroencephalography.
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Affiliation(s)
- Yevgenia Rosenblum
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behavior, Nijmegen, Netherlands
| | - Tamás Bogdány
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
- Doctoral School of Psychology, ELTE, Eötvös Loránd University, Budapest, Hungary
| | | | - Xinyuan Chen
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behavior, Nijmegen, Netherlands
| | - Ilona Kovács
- HUN-REN-ELTE-PPKE Adolescent Development Research Group, Faculty of Education and Psychology, Eötvös Loránd University, Budapest, Hungary
| | - Ferenc Gombos
- HUN-REN-ELTE-PPKE Adolescent Development Research Group, Faculty of Education and Psychology, Eötvös Loránd University, Budapest, Hungary
- Pázmány Péter Catholic University, Department of General Psychology, Budapest, Hungary
| | - Péter Ujma
- Semmelweis University, Institute of Behavioural Sciences, Budapest, Hungary
| | - Róbert Bódizs
- Semmelweis University, Institute of Behavioural Sciences, Budapest, Hungary
| | - Nico Adelhöfer
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behavior, Nijmegen, Netherlands
| | - Péter Simor
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
- Semmelweis University, Institute of Behavioural Sciences, Budapest, Hungary
| | - Martin Dresler
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behavior, Nijmegen, Netherlands
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Paquet C, Lenker KP, Calhoun SL, Bixler EO, Vgontzas AN, Fernandez-Mendoza J. Short-term stability and night-to-night variability of sleep parameters in nightmares comorbid with chronic insomnia Disorder across multiple nights of polysomnography. Sleep 2024; 47:zsae032. [PMID: 38300896 DOI: 10.1093/sleep/zsae032] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/07/2024] [Indexed: 02/03/2024] Open
Abstract
STUDY OBJECTIVES The purpose of this study was to examine the degree of short-term stability of polysomnographic (PSG) measured sleep parameters and the overall differences between individuals with comorbid nightmares and insomnia compared to those with chronic insomnia disorder alone or good sleeping controls across four nights in the sleep lab. METHODS A total of 142 good sleeping controls, 126 chronic insomnia alone, and 24 comorbid insomnia/nightmare participants underwent four consecutive nights of 8-hour PSG recordings. Outcomes included sleep continuity, architecture, and REM-related parameters across nights one through four. Intraclass correlation coefficients with mixed-effect variances and repeated-measure analysis of covariance were used, respectively, to determine short-term stability as well as between-participants and time-by-group interaction effects. RESULTS Wake after sleep onset and stage 1 showed "poor stability" in the comorbid insomnia/nightmare group compared to "moderate stability" in the good sleeping controls and chronic insomnia alone group. Significant between-group effects (all ps < .05) showed that the comorbid insomnia/nightmare group took longer to fall asleep and had a greater first-night-effect in stage 1 compared to good sleeping controls and chronic insomnia alone group; in addition, the comorbid insomnia/nightmare and insomnia alone groups slept shorter, with fewer awakenings and REM periods, compared to the good sleeping controls. CONCLUSIONS Nightmares are associated with abnormal sleep above and beyond REM disruption, as sleep continuity was the primary aspect in which poor stability and group differences emerged. The greater inability to fall asleep and instability of sleep fragmentation in those with comorbid insomnia/nightmares compared to chronic insomnia alone may be attributed to the impact of presleep anticipatory anxiety and nightmare-related distress itself. CLINICAL TRIAL INFORMATION The data analyzed in this study does not come from any current or previous clinical trials. Therefore, there is no clinical trial information to report.
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Affiliation(s)
- Caitlin Paquet
- Department of Psychiatry and Behavioral Health, Sleep Research and Treatment Center, Penn State College of Medicine, Hershey, PA, USA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kristina P Lenker
- Department of Psychiatry and Behavioral Health, Sleep Research and Treatment Center, Penn State College of Medicine, Hershey, PA, USA
| | - Susan L Calhoun
- Department of Psychiatry and Behavioral Health, Sleep Research and Treatment Center, Penn State College of Medicine, Hershey, PA, USA
| | - Edward O Bixler
- Department of Psychiatry and Behavioral Health, Sleep Research and Treatment Center, Penn State College of Medicine, Hershey, PA, USA
| | - Alexandros N Vgontzas
- Department of Psychiatry and Behavioral Health, Sleep Research and Treatment Center, Penn State College of Medicine, Hershey, PA, USA
| | - Julio Fernandez-Mendoza
- Department of Psychiatry and Behavioral Health, Sleep Research and Treatment Center, Penn State College of Medicine, Hershey, PA, USA
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Sayk C, Saftien S, Koch N, Ngo HVV, Junghanns K, Wilhelm I. Cortical hyperarousal in individuals with frequent nightmares. J Sleep Res 2024; 33:e14003. [PMID: 37688512 DOI: 10.1111/jsr.14003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/09/2023] [Accepted: 07/01/2023] [Indexed: 09/11/2023]
Abstract
Nightmares are common among the general population and psychiatric patients and have been associated with signs of nocturnal arousal such as increased heart rate or increased high-frequency electroencephalographic (EEG) activity. However, it is still unclear, whether these characteristics are more of a trait occurring in people with frequent nightmares or rather indicators of the nightmare state. We compared participants with frequent nightmares (NM group; n = 30) and healthy controls (controls; n = 27) who spent 4 nights in the sleep laboratory over the course of 8 weeks. The NM group received six sessions of imagery rehearsal therapy (IRT), the 'gold standard' of cognitive-behavioural therapy for nightmares, between the second and the third night. Sleep architecture and spectral power were compared between groups, and between nights of nightmare occurrence and nights without nightmare occurrence in the NM group. Additionally, changes before and after therapy were recorded. The NM group showed increased beta (16.25-31 Hz) and low gamma (31.25-35 Hz) power during the entire night compared to the controls, but not when comparing nights of nightmare occurrence to those without. Moreover, low gamma activity in rapid eye movement sleep was reduced after therapy in the NM group. Our findings indicate, cortical hyperarousal is more of a trait in people with frequent nightmares within a network of other symptoms, but also malleable by therapy. This is not only a new finding for IRT but could also lead to improved treatment options in the future that directly target high-frequency EEG activity.
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Affiliation(s)
- Clara Sayk
- Department of Psychiatry and Psychotherapy, Translational Psychiatry Unit, University of Lübeck, Lübeck, Germany
| | - Sophia Saftien
- Department of Psychiatry and Psychotherapy, Translational Psychiatry Unit, University of Lübeck, Lübeck, Germany
| | - Nicole Koch
- Department of Psychiatry and Psychotherapy, Translational Psychiatry Unit, University of Lübeck, Lübeck, Germany
| | - Hong-Viet V Ngo
- Department of Psychology, University of Lübeck, Lübeck, Germany
- Center for Brain, Behaviour and Metabolism, University of Lübeck, Lübeck, Germany
- Department of Psychology, University of Essex, Colchester, UK
| | - Klaus Junghanns
- Department of Psychiatry and Psychotherapy, Translational Psychiatry Unit, University of Lübeck, Lübeck, Germany
| | - Ines Wilhelm
- Department of Psychiatry and Psychotherapy, Translational Psychiatry Unit, University of Lübeck, Lübeck, Germany
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Černý F, Piorecká V, Kliková M, Kopřivová J, Bušková J, Piorecký M. All-night spectral and microstate EEG analysis in patients with recurrent isolated sleep paralysis. Front Neurosci 2024; 18:1321001. [PMID: 38389790 PMCID: PMC10882627 DOI: 10.3389/fnins.2024.1321001] [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: 10/13/2023] [Accepted: 01/25/2024] [Indexed: 02/24/2024] Open
Abstract
The pathophysiology of recurrent isolated sleep paralysis (RISP) has yet to be fully clarified. Very little research has been performed on electroencephalographic (EEG) signatures outside RISP episodes. This study aimed to investigate whether sleep is disturbed even without the occurrence of a RISP episode and in a stage different than conventional REM sleep. 17 RISP patients and 17 control subjects underwent two consecutive full-night video-polysomnography recordings. Spectral analysis was performed on all sleep stages in the delta, theta, and alpha band. EEG microstate (MS) analysis was performed on the NREM 3 phase due to the overall high correlation of subject template maps with canonical templates. Spectral analysis showed a significantly higher power of theta band activity in REM and NREM 2 sleep stages in RISP patients. The observed rise was also apparent in other sleep stages. Conversely, alpha power showed a downward trend in RISP patients' deep sleep. MS maps similar to canonical topographies were obtained indicating the preservation of prototypical EEG generators in RISP patients. RISP patients showed significant differences in the temporal dynamics of MS, expressed by different transitions between MS C and D and between MS A and B. Both spectral analysis and MS characteristics showed abnormalities in the sleep of non-episodic RISP subjects. Our findings suggest that in order to understand the neurobiological background of RISP, there is a need to extend the analyzes beyond REM-related processes and highlight the value of EEG microstate dynamics as promising functional biomarkers of RISP.
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Affiliation(s)
- Filip Černý
- Faculty of Biomedical Engineering, Czech Technical University, Prague, Czechia
- Sleep and Chronobiology Research Center, National Institute of Mental Health, Klecany, Czechia
| | - Václava Piorecká
- Faculty of Biomedical Engineering, Czech Technical University, Prague, Czechia
- Sleep and Chronobiology Research Center, National Institute of Mental Health, Klecany, Czechia
| | - Monika Kliková
- Sleep and Chronobiology Research Center, National Institute of Mental Health, Klecany, Czechia
| | - Jana Kopřivová
- Sleep and Chronobiology Research Center, National Institute of Mental Health, Klecany, Czechia
- Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Jitka Bušková
- Sleep and Chronobiology Research Center, National Institute of Mental Health, Klecany, Czechia
- Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Marek Piorecký
- Faculty of Biomedical Engineering, Czech Technical University, Prague, Czechia
- Sleep and Chronobiology Research Center, National Institute of Mental Health, Klecany, Czechia
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