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Schenck CH. REM sleep behaviour disorder (RBD): Personal perspectives and research priorities. J Sleep Res 2024:e14228. [PMID: 38782758 DOI: 10.1111/jsr.14228] [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: 02/12/2024] [Revised: 04/08/2024] [Accepted: 04/16/2024] [Indexed: 05/25/2024]
Abstract
The formal identification and naming of rapid eye movement (REM) sleep behaviour disorder (RBD) in 1985-1987 is described; the historical background of RBD from 1966 to 1985 is briefly discussed; and RBD milestones are presented. Current knowledge on RBD is identified with reference to recent comprehensive reviews, allowing for a focus on research priorities for RBD: factors and predictors of neurodegenerative phenoconversion from isolated RBD and patient enrolment in neuroprotective trials; isolated RBD clinical research cohorts; epidemiology of RBD; traumatic brain injury, post-traumatic stress disorder, RBD and neurodegeneration; depression, RBD and synucleinopathy; evolution of prodromal RBD to neurodegeneration; gut microbiome dysbiosis and colonic synuclein histopathology in isolated RBD; other alpha-synuclein research in isolated RBD; narcolepsy-RBD; dreams and nightmares in RBD; phasic REM sleep in isolated RBD; RBD, periodic limb movements, periodic limb movement disorder pseudo-RBD; other neurophysiology research in RBD; cardiac scintigraphy (123I-MIBG) in isolated RBD; brain magnetic resonance imaging biomarkers in isolated RBD; microRNAs as biomarkers in isolated RBD; actigraphic, other automated digital monitoring and machine learning research in RBD; prognostic counselling and ethical considerations in isolated RBD; and REM sleep basic science research. RBD research is flourishing, and is strategically situated at an ever-expanding crossroads of clinical (sleep) medicine, neurology, psychiatry and neuroscience.
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Affiliation(s)
- Carlos H Schenck
- Minnesota Regional Sleep Disorders Center, Department of Psychiatry, Hennepin County Medical Center and University of Minnesota Medical School, Minneapolis, Minnesota, USA
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Howarth T, Tashakori M, Karhu T, Rusanen M, Pitkänen H, Oksenberg A, Nikkonen S. Excessive daytime sleepiness is associated with relative delta frequency power among patients with mild OSA. Front Neurol 2024; 15:1367860. [PMID: 38645747 PMCID: PMC11026663 DOI: 10.3389/fneur.2024.1367860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 03/07/2024] [Indexed: 04/23/2024] Open
Abstract
Background Excessive daytime sleepiness (EDS) is a cause of low quality of life among obstructive sleep apnoea (OSA) patients. Current methods of assessing and predicting EDS are limited due to time constraints or differences in subjective experience and scoring. Electroencephalogram (EEG) power spectral densities (PSDs) have shown differences between OSA and non-OSA patients, and fatigued and non-fatigued patients. Therefore, polysomnographic EEG PSDs may be useful to assess the extent of EDS among patients with OSA. Methods Patients presenting to Israel Loewenstein hospital reporting daytime sleepiness who recorded mild OSA on polysomnography and undertook a multiple sleep latency test. Alpha, beta, and delta relative powers were assessed between patients categorized as non-sleepy (mean sleep latency (MSL) ≥10 min) and sleepy (MSL <10 min). Results 139 patients (74% male) were included for analysis. 73 (53%) were categorized as sleepy (median MSL 6.5 min). There were no significant differences in demographics or polysomnographic parameters between sleepy and non-sleepy groups. In multivariate analysis, increasing relative delta frequency power was associated with increased odds of sleepiness (OR 1.025 (95% CI 1.024-1.026)), while relative alpha and beta powers were associated with decreased odds. The effect size of delta PSD on sleepiness was significantly greater than that of either alpha or beta frequencies. Conclusion Delta PSD during polysomnography is significantly associated with a greater degree of objective daytime sleepiness among patients with mild OSA. Further research is needed to corroborate our findings and identify the direction of potential causal correlation between delta PSD and EDS.
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Affiliation(s)
- Timothy Howarth
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Darwin Respiratory and Sleep Health, Darwin Private Hospital, Darwin, NT, Australia
- College of Health and Human Sciences, Charles Darwin University, Darwin, NT, Australia
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Masoumeh Tashakori
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Tuomas Karhu
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Matias Rusanen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
- HP2 Laboratory, INSERM U1300, Grenoble Alpes University, Grenoble Alpes University Hospital, Grenoble, France
| | - Henna Pitkänen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Arie Oksenberg
- Sleep Disorders Unit, Loewenstein Hospital – Rehabilitation Center, Ra’anana, Israel
| | - Sami Nikkonen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
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Mogavero MP, Ferri R, Marelli S, Lanza G, Terzaghi M, Castelnuovo A, DelRosso LM, Schenck CH, Ferini‐Strambi L. Polysomnographic features associated with clonazepam and melatonin treatment in isolated REM sleep behavior disorder: Time for new therapeutic approaches? CNS Neurosci Ther 2024; 30:e14569. [PMID: 38421131 PMCID: PMC10850928 DOI: 10.1111/cns.14569] [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: 05/01/2023] [Revised: 09/06/2023] [Accepted: 12/02/2023] [Indexed: 03/02/2024] Open
Abstract
AIMS Although clonazepam (CLO) and melatonin (MLT) are the most frequently used treatments for REM sleep behavior disorder, the polysomnographic features associated with their use are little known. The aim of this study was to evaluate polysomnographic and clinical parameters of patients with idiopathic/isolated REM sleep behavior disorder (iRBD) treated chronically with CLO, sustained-release MLT, alone or in combination, and in a group of drug-free iRBD patients. METHODS A total of 96 patients were enrolled: 43 drug-free, 21 with CLO (0.5-2 mg), 20 with sustained-release MLT (1-4 mg), and 12 taking a combination of them (same doses). Clinical variables and polysomnography were collected. RESULTS Although clinical improvement was reported in all groups, MLT impacted sleep architecture more than the other treatments, with significant and large increase in N3 stage, moderate reduction in N2 and REM sleep, and moderate increase in REM latency. CLO moderately increased the percentage of both REM sleep and especially N2, while reducing N1 and wakefulness. Patients treated with both CLO and MLT did not show major changes in sleep architecture. CONCLUSION These results suggest that the administration of MLT or CLO impacts (positively) on sleep parameters of iRBD patients. However, there is a need to better stratify patients, in order to treat them in a targeted manner, depending on the patient's individual sleep architecture and expected differential effects of these agents.
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Affiliation(s)
- Maria P. Mogavero
- Vita‐Salute San Raffaele UniversityMilanItaly
- Sleep Disorders Center, Division of NeuroscienceSan Raffaele Scientific InstituteMilanItaly
| | - Raffaele Ferri
- Sleep Research Centre and Clinical Neurophysiology Research UnitOasi Research Institute – IRCCSTroinaItaly
| | - Sara Marelli
- Vita‐Salute San Raffaele UniversityMilanItaly
- Sleep Disorders Center, Division of NeuroscienceSan Raffaele Scientific InstituteMilanItaly
| | - Giuseppe Lanza
- Sleep Research Centre and Clinical Neurophysiology Research UnitOasi Research Institute – IRCCSTroinaItaly
- Department of Surgery and Medical‐Surgical SpecialtiesUniversity of CataniaCataniaItaly
| | - Michele Terzaghi
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
- Unit of Sleep Medicine and EpilepsyIRCCS Mondino FoundationPaviaItaly
| | - Alessandra Castelnuovo
- Vita‐Salute San Raffaele UniversityMilanItaly
- Sleep Disorders Center, Division of NeuroscienceSan Raffaele Scientific InstituteMilanItaly
| | | | - Carlos H. Schenck
- Minnesota Regional Sleep Disorders Center, Department of Psychiatry, Hennepin County Medical CenterUniversity of Minnesota Medical SchoolMinneapolisMinnesotaUSA
| | - Luigi Ferini‐Strambi
- Vita‐Salute San Raffaele UniversityMilanItaly
- Sleep Disorders Center, Division of NeuroscienceSan Raffaele Scientific InstituteMilanItaly
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Bergmann M, Högl B, Stefani A. Clinical neurophysiology of REM parasomnias: Diagnostic aspects and insights into pathophysiology. Clin Neurophysiol Pract 2024; 9:53-62. [PMID: 38328386 PMCID: PMC10847011 DOI: 10.1016/j.cnp.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/17/2023] [Accepted: 10/22/2023] [Indexed: 02/09/2024] Open
Abstract
Parasomnias are due to a transient unstable state dissociation during entry into sleep, within sleep, or during arousal from sleep, and manifest with abnormal sleep related behaviors, perceptions, emotions, dreams, and autonomic nervous system activity. Rapid eye movement (REM) parasomnias include REM sleep behavior disorder (RBD), isolated recurrent sleep paralysis and nightmare disorder. Neurophysiology is key for diagnosing these disorders and provides insights into their pathophysiology. RBD is very well characterized from a neurophysiological point of view, also thank to the fact that polysomnography is needed for the diagnosis. Diagnostic criteria are provided by the American Academy of Sleep Medicine and video-polysomnography guidelines for the diagnosis by the International REM Sleep Behavior Disorder Study Group. Differences between the two sets of criteria are presented and discussed. Availability of polysomnography in RBD provides data on sleep electroencephalography (EEG), electrooculography (EOG) and electromyography (EMG). Sleep EEG in RBD shows e.g. changes in delta and theta power, in sleep spindles and K complexes. EMG during REM sleep is essential for RBD diagnosis and is an important neurodegeneration biomarker. RBD patients present alterations also in wake EEG, autonomic function, evoked potentials, and transcranial magnetic stimulation. Clinical neurophysiological data on recurrent isolated sleep paralysis and nightmare disorder are scant. The few available data provide insights into the pathophysiology of these disorders, demonstrating a state dissociation in recurrent isolated sleep paralysis and suggesting alterations in sleep macro- and microstructure as well as autonomic changes in nightmare disorder.
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Affiliation(s)
- Melanie Bergmann
- Department of Neurology, Sleep Laboratory, Medical University Innsbruck, Austria
| | - Birgit Högl
- Department of Neurology, Sleep Laboratory, Medical University Innsbruck, Austria
| | - Ambra Stefani
- Department of Neurology, Sleep Laboratory, Medical University Innsbruck, Austria
- Neurological Clinical Research Institute, Massachusetts General Hospital, Boston, USA
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Andrillon T, Oudiette D. What is sleep exactly? Global and local modulations of sleep oscillations all around the clock. Neurosci Biobehav Rev 2023; 155:105465. [PMID: 37972882 DOI: 10.1016/j.neubiorev.2023.105465] [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: 01/17/2023] [Revised: 09/29/2023] [Accepted: 11/10/2023] [Indexed: 11/19/2023]
Abstract
Wakefulness, non-rapid eye-movement (NREM) and rapid eye-movement (REM) sleep differ from each other along three dimensions: behavioral, phenomenological, physiological. Although these dimensions often fluctuate in step, they can also dissociate. The current paradigm that views sleep as made of global NREM and REM states fail to account for these dissociations. This conundrum can be dissolved by stressing the existence and significance of the local regulation of sleep. We will review the evidence in animals and humans, healthy and pathological brains, showing different forms of local sleep and the consequences on behavior, cognition, and subjective experience. Altogether, we argue that the notion of local sleep provides a unified account for a host of phenomena: dreaming in REM and NREM sleep, NREM and REM parasomnias, intrasleep responsiveness, inattention and mind wandering in wakefulness. Yet, the physiological origins of local sleep or its putative functions remain unclear. Exploring further local sleep could provide a unique and novel perspective on how and why we sleep.
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Affiliation(s)
- Thomas Andrillon
- Paris Brain Institute, Sorbonne Université, Inserm-CNRS, Paris 75013, France; Monash Centre for Consciousness & Contemplative Studies, Monash University, Melbourne, VIC 3800, Australia.
| | - Delphine Oudiette
- Paris Brain Institute, Sorbonne Université, Inserm-CNRS, Paris 75013, France
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Xia X, Li L, Cheng Z, Chen Q, Huang T, Yu Y, Shang L. Comprehensive bibliometric research in neuroscience: focusing on ophthalmology. Front Neurosci 2023; 17:1106023. [PMID: 37397445 PMCID: PMC10308020 DOI: 10.3389/fnins.2023.1106023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 05/18/2023] [Indexed: 07/04/2023] Open
Abstract
Background This study aimed to comprehensively summarize the knowledge structure and research hotspots of ophthalmology in the field of neuroscience through bibliometric and visual analysis. Methods We searched the Web of Science Core Collection database for articles from 2002 to 2021 related to ophthalmology in the field of neuroscience. Using VOSviewer and CiteSpace, bibliometric analysis was conducted on the number of annual ophthalmology publications, authors, organizations, countries, journals, cited references, keywords, and burst keywords. Results A total of 9,179 articles were published from 34,073 authors, 4,987 organizations, and 87 countries. The cited references in these articles were published in 23,054 journals. Moreover, there were 30,864 keywords among the 9,179 articles. Notably, scholars have increasingly begun paying attention to ophthalmology in the field of neuroscience in the past 20 years. Claudio Babiloni published the most articles. The University of Washington had the greatest number of articles. The United States, Germany, and England led in the number of articles published. The Journal of Neuroscience was the most cited. The article with the highest outbreak intensity was an article published by Maurizio Corbetta in Nature Reviews Neuroscience in 2002 entitled "Control of goal-directed and stimulus-driven attention in the brain." The most important keyword was the brain, and the top burst keyword was functional connectivity. Conclusion This study visualized ophthalmology research in the field of neuroscience through bibliometric analysis and predicted potential research trends in future to help clinicians and basic researchers provide diversified perspectives and further carry out in-depth research on ophthalmology.
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Figorilli M, Meloni M, Lanza G, Casaglia E, Lecca R, Saibene FL, Congiu P, Puligheddu M. Considering REM Sleep Behavior Disorder in the Management of Parkinson's Disease. Nat Sci Sleep 2023; 15:333-352. [PMID: 37180094 PMCID: PMC10167974 DOI: 10.2147/nss.s266071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
Rapid eye movement (REM) sleep behavior disorder (RBD) is the result of the loss of physiological inhibition of muscle tone during REM sleep, characterized by dream-enacting behavior and widely recognized as a prodromal manifestation of alpha-synucleinopathies. Indeed, patients with isolated RBD (iRBD) have an extremely high estimated risk to develop a neurodegenerative disease after a long follow up. Nevertheless, in comparison with PD patients without RBD (PDnoRBD), the occurrence of RBD in the context of PD (PDRBD) seems to identify a unique, more malignant phenotype, characterized by a more severe burden of disease in terms of both motor and non-motor symptoms and increased risk for cognitive decline. However, while some medications (eg, melatonin, clonazepam, etc.) and non-pharmacological options have been found to have some therapeutic benefits on RBD there is no available treatment able to modify the disease course or, at least, slow down the neurodegenerative process underlying phenoconversion. In this scenario, the long prodromal phase may allow an early therapeutic window and, therefore, the identification of multimodal biomarkers of disease onset and progression is becoming increasingly crucial. To date, several clinical (motor, cognitive, olfactory, visual, and autonomic features) neurophysiological, neuroimaging, biological (biofluids or tissue biopsy), and genetic biomarkers have been identified and proposed, also in combination, as possible diagnostic or prognostic markers, along with a potential role for some of them as outcome measures and index of treatment response. In this review, we provide an insight into the present knowledge on both existing and future biomarkers of iRBD and highlight the difference with PDRBD and PDnoRBD, including currently available treatment options.
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Affiliation(s)
- Michela Figorilli
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Mario Meloni
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Giuseppe Lanza
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
- Clinical Neurophysiology Research Unit, Oasi Research Institute-IRCCS, Troina, Italy
| | - Elisa Casaglia
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Rosamaria Lecca
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | | | - Patrizia Congiu
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Monica Puligheddu
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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8
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Sleep-Related Changes Prior to Cognitive Dysfunction. Curr Neurol Neurosci Rep 2023; 23:177-183. [PMID: 36881255 DOI: 10.1007/s11910-023-01258-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2023] [Indexed: 03/08/2023]
Abstract
PURPOSE OF REVIEW The aim of this review is to summarize the current evidence on the relationship between sleep and cognition and present available data reporting the impact that sleep alterations may have on cognitive functions. RECENT FINDINGS Research findings support the idea that sleep is involved in cognitive processes and that altered sleep homeostasis or circadian rhythms may lead to clinical and biochemical changes associated with cognitive impairment. Evidence is particularly solid for the association between specific sleep architecture and circadian alterations and Alzheimer's disease. Sleep changes, as early manifestations or possible risk factors for neurodegeneration and cognitive decline, may be appropriate targets for interventions aiming to reduce the likelihood of dementia.
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Gorgoni M, Galbiati A. Non-REM sleep electrophysiology in REM sleep behaviour disorder: A narrative mini-review. Neurosci Biobehav Rev 2022; 142:104909. [DOI: 10.1016/j.neubiorev.2022.104909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 09/22/2022] [Accepted: 10/06/2022] [Indexed: 10/31/2022]
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Tsimpanouli ME, Ghimire A, Barget AJ, Weston R, Paulson HL, Costa MDC, Watson BO. Sleep Alterations in a Mouse Model of Spinocerebellar Ataxia Type 3. Cells 2022; 11:cells11193132. [PMID: 36231095 PMCID: PMC9563426 DOI: 10.3390/cells11193132] [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: 07/25/2022] [Revised: 09/20/2022] [Accepted: 09/29/2022] [Indexed: 11/16/2022] Open
Abstract
Spinocerebellar ataxia type 3 (SCA3) is a neurodegenerative disorder showing progressive neuronal loss in several brain areas and a broad spectrum of motor and non-motor symptoms, including ataxia and altered sleep. While sleep disturbances are known to play pathophysiologic roles in other neurodegenerative disorders, their impact on SCA3 is unknown. Using spectrographic measurements, we sought to quantitatively characterize sleep electroencephalography (EEG) in SCA3 transgenic mice with confirmed disease phenotype. We first measured motor phenotypes in 18-31-week-old homozygous SCA3 YACMJD84.2 mice and non-transgenic wild-type littermate mice during lights-on and lights-off periods. We next implanted electrodes to obtain 12-h (zeitgeber time 0-12) EEG recordings for three consecutive days when the mice were 26-36 weeks old. EEG-based spectroscopy showed that compared to wild-type littermates, SCA3 homozygous mice display: (i) increased duration of rapid-eye movement sleep (REM) and fragmentation in all sleep and wake states; (ii) higher beta power oscillations during REM and non-REM (NREM); and (iii) additional spectral power band alterations during REM and wake. Our data show that sleep architecture and EEG spectral power are dysregulated in homozygous SCA3 mice, indicating that common sleep-related etiologic factors may underlie mouse and human SCA3 phenotypes.
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Affiliation(s)
- Maria-Efstratia Tsimpanouli
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Correspondence: (M.-E.T.); (M.d.C.C.); (B.O.W.)
| | - Anjesh Ghimire
- Department of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Anna J. Barget
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Ridge Weston
- Department of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Henry L. Paulson
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Maria do Carmo Costa
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Correspondence: (M.-E.T.); (M.d.C.C.); (B.O.W.)
| | - Brendon O. Watson
- Department of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Correspondence: (M.-E.T.); (M.d.C.C.); (B.O.W.)
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Parasomnias and Disruptive Sleep-Related Disorders: Insights from Local Sleep Findings. J Clin Med 2022; 11:jcm11154435. [PMID: 35956054 PMCID: PMC9369078 DOI: 10.3390/jcm11154435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 07/28/2022] [Indexed: 02/04/2023] Open
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12
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Schreiner SJ, Werth E, Ballmer L, Valko PO, Schubert KM, Imbach LL, Baumann CR, Maric A, Baumann-Vogel H. Sleep spindle and slow wave activity in Parkinson disease with excessive daytime sleepiness. Sleep 2022; 46:6649751. [PMID: 35877159 DOI: 10.1093/sleep/zsac165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Study Objectives
Excessive daytime sleepiness (EDS) is a common and devastating symptom in Parkinson disease (PD), but surprisingly most studies showed that EDS is independent from nocturnal sleep disturbance measured with polysomnography. Quantitative electroencephalography (EEG) may reveal additional insights by measuring the EEG hallmarks of non-rapid eye movement (NREM) sleep, namely slow waves and spindles. Here, we tested the hypothesis that EDS in PD is associated with nocturnal sleep disturbance revealed by quantitative NREM sleep EEG markers.
Methods
Patients with PD (n = 130) underwent polysomnography followed by spectral analysis to calculate spindle frequency activity, slow-wave activity (SWA), and overnight SWA decline, which reflects the dissipation of homeostatic sleep pressure. We used the Epworth Sleepiness Scale (ESS) to assess subjective daytime sleepiness and define EDS (ESS > 10). All examinations were part of an evaluation for deep brain stimulation.
Results
Patients with EDS (n = 46) showed reduced overnight decline of SWA (p = 0.036) and reduced spindle frequency activity (p = 0.032) compared with patients without EDS. Likewise, more severe daytime sleepiness was associated with reduced SWA decline (ß= −0.24 p = 0.008) and reduced spindle frequency activity (ß= −0.42, p < 0.001) across all patients. Reduced SWA decline, but not daytime sleepiness, was associated with poor sleep quality and continuity at polysomnography.
Conclusions
Our data suggest that daytime sleepiness in PD patients is associated with sleep disturbance revealed by quantitative EEG, namely reduced overnight SWA decline and reduced spindle frequency activity. These findings could indicate that poor sleep quality, with incomplete dissipation of homeostatic sleep pressure, may contribute to EDS in PD.
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Affiliation(s)
- Simon J Schreiner
- Department of Neurology, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Sleep and Health Zurich (SHZ), University of Zurich , Zurich , Switzerland
| | - Esther Werth
- Department of Neurology, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Sleep and Health Zurich (SHZ), University of Zurich , Zurich , Switzerland
| | - Leonie Ballmer
- Department of Neurology, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich , Zurich , Switzerland
| | - Philipp O Valko
- Department of Neurology, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Sleep and Health Zurich (SHZ), University of Zurich , Zurich , Switzerland
| | - Kai M Schubert
- Department of Neurology, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich , Zurich , Switzerland
| | - Lukas L Imbach
- Department of Neurology, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Swiss Epilepsy Center, Klinik Lengg , Zurich , Switzerland
| | - Christian R Baumann
- Department of Neurology, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Sleep and Health Zurich (SHZ), University of Zurich , Zurich , Switzerland
| | - Angelina Maric
- Department of Neurology, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Sleep and Health Zurich (SHZ), University of Zurich , Zurich , Switzerland
| | - Heide Baumann-Vogel
- Department of Neurology, University Hospital Zurich, University of Zurich , Zurich , Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich , Zurich , Switzerland
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13
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Gelegen C, Cash D, Ilic K, Sander M, Kim E, Simmons C, Bernanos M, Lama J, Randall K, Brown JT, Kalanj-Bognar S, Cooke S, Ray Chaudhuri K, Ballard C, Francis P, Rosenzweig I. Relevance of sleep and associated structural changes in GBA1 mouse to human rapid eye movement behavior disorder. Sci Rep 2022; 12:7973. [PMID: 35562385 PMCID: PMC9105586 DOI: 10.1038/s41598-022-11516-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 04/22/2022] [Indexed: 11/29/2022] Open
Abstract
Rapid eye movement (REM) sleep behaviour disorder (RBD) is a REM parasomnia that often predicts the later occurrence of alpha-synucleinopathies. Variants in the gene encoding for the lysosomal enzyme glucocerebrosidase, GBA, strongly increase the risk of RBD. In a GBA1-mouse model recently shown to mimic prodromal stages of α-synucleinopathy, we now demonstrate striking REM and NREM electroencephalographic sleep abnormalities accompanied by distinct structural changes in the more widespread sleep neurocircuitry.
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Affiliation(s)
- Cigdem Gelegen
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London (KCL), De Crespigny Park, Box 089, London, SE5 8AF, UK
- Basic and Clinical Neuroscience, IoPPN, KCL, London, UK
| | - Diana Cash
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London (KCL), De Crespigny Park, Box 089, London, SE5 8AF, UK
- BRAIN, Department of Neuroimaging, KCL, London, UK
| | - Katarina Ilic
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London (KCL), De Crespigny Park, Box 089, London, SE5 8AF, UK
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Millie Sander
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Eugene Kim
- BRAIN, Department of Neuroimaging, KCL, London, UK
| | | | | | - Joana Lama
- Institute of Psychiatry, Psychology and Neuroscience, Wolfson Centre for Age-Related Diseases, Guy's Campus, KCL, London, UK
| | | | - Jonathan T Brown
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Svjetlana Kalanj-Bognar
- Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Samuel Cooke
- Basic and Clinical Neuroscience, IoPPN, KCL, London, UK
| | - K Ray Chaudhuri
- King's College London and Parkinson's Foundation Centre of Excellence, King's College Hospital, London, UK
| | - Clive Ballard
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Paul Francis
- College of Medicine and Health, University of Exeter, Exeter, UK
- Institute of Psychiatry, Psychology and Neuroscience, Wolfson Centre for Age-Related Diseases, Guy's Campus, KCL, London, UK
| | - Ivana Rosenzweig
- Department of Neuroimaging, Sleep and Brain Plasticity Centre, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London (KCL), De Crespigny Park, Box 089, London, SE5 8AF, UK.
- Sleep Disorders Centre, GSTT, London, UK.
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14
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Restricted truncal sagittal movements of rapid eye movement behaviour disorder. NPJ Parkinsons Dis 2022; 8:26. [PMID: 35292658 PMCID: PMC8924261 DOI: 10.1038/s41531-022-00292-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 02/17/2022] [Indexed: 11/12/2022] Open
Abstract
Unlike sleep-walkers, patients with rapid-eye-movement-behaviour disorder (RBD) rarely leave the bed during the re-enactment of their dreams. RBD movements may be independent of spatial co-ordinates of the ‘outside-world’, and instead rely on (allocentric) brain-generated virtual space-maps, as evident by patients’ limited truncal/axial movements. To confirm this, a semiology analysis of video-polysomnography records of 38 RBD patients was undertaken and paradoxically restricted truncal/thoraco-lumbar movements during complex dream re-enactments demonstrated.
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15
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Arena A, Juel BE, Comolatti R, Thon S, Storm JF. Capacity for consciousness under ketamine anaesthesia is selectively associated with activity in posteromedial cortex in rats. Neurosci Conscious 2022; 2022:niac004. [PMID: 35261778 PMCID: PMC8896332 DOI: 10.1093/nc/niac004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 12/09/2021] [Accepted: 01/24/2022] [Indexed: 12/04/2022] Open
Abstract
It remains unclear how specific cortical regions contribute to the brain’s overall capacity for consciousness. Clarifying this could help distinguish between theories of consciousness. Here, we investigate the association between markers of regionally specific (de)activation and the brain’s overall capacity for consciousness. We recorded electroencephalographic responses to cortical electrical stimulation in six rats and computed Perturbational Complexity Index state-transition (PCIST), which has been extensively validated as an index of the capacity for consciousness in humans. We also estimated the balance between activation and inhibition of specific cortical areas with the ratio between high and low frequency power from spontaneous electroencephalographic activity at each electrode. We repeated these measurements during wakefulness, and during two levels of ketamine anaesthesia: with the minimal dose needed to induce behavioural unresponsiveness and twice this dose. We found that PCIST was only slightly reduced from wakefulness to light ketamine anaesthesia, but dropped significantly with deeper anaesthesia. The high-dose effect was selectively associated with reduced high frequency/low frequency ratio in the posteromedial cortex, which strongly correlated with PCIST. Conversely, behavioural unresponsiveness induced by light ketamine anaesthesia was associated with similar spectral changes in frontal, but not posterior cortical regions. Thus, activity in the posteromedial cortex correlates with the capacity for consciousness, as assessed by PCIST, during different depths of ketamine anaesthesia, in rats, independently of behaviour. These results are discussed in relation to different theories of consciousness.
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Affiliation(s)
- A Arena
- Brain Signalling Group, Department of Molecular Medicine, University of Oslo, Sognsvannsveien 9, Oslo 0372, Norway
| | - B E Juel
- Brain Signalling Group, Department of Molecular Medicine, University of Oslo, Sognsvannsveien 9, Oslo 0372, Norway
- Center for Sleep and Consciousness, University of Wisconsin, 6001 Research Park Blvd, Madison, WI 53719, USA
| | - R Comolatti
- Department of Biomedical and Clinical Sciences “L. Sacco”, University of Milan, Via Giovanni Battista Grassi 74, Milano 20157, Italy
| | - S Thon
- Brain Signalling Group, Department of Molecular Medicine, University of Oslo, Sognsvannsveien 9, Oslo 0372, Norway
| | - J F Storm
- Brain Signalling Group, Department of Molecular Medicine, University of Oslo, Sognsvannsveien 9, Oslo 0372, Norway
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16
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Gong SY, Shen Y, Gu HY, Zhuang S, Fu X, Wang QJ, Mao CJ, Hu H, Dai YP, Liu CF. Generalized EEG Slowing Across Phasic REM Sleep, Not Subjective RBD Severity, Predicts Neurodegeneration in Idiopathic RBD. Nat Sci Sleep 2022; 14:407-418. [PMID: 35299628 PMCID: PMC8923684 DOI: 10.2147/nss.s354063] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 02/18/2022] [Indexed: 11/25/2022] Open
Abstract
PURPOSE Idiopathic rapid eye movement sleep behavior disorder (iRBD) is the prodromal marker of α-synuclein degeneration with markedly high predictive value. We aim to evaluate the value of electroencephalography (EEG) data during rapid eye movement (REM) sleep and subjective RBD severity in predicting the conversion to neurodegenerative diseases in iRBD patients. METHODS At the baseline, iRBD patients underwent clinical assessment and video-polysomnography (PSG). Relative spectral power for nine frequency bands during phasic and tonic REM sleep in three regions of interest, slow-to-fast ratios, clinical and PSG variables were estimated and compared between iRBD patients who converted to neurodegenerative diseases (iRBD-C) and iRBD patients who remained disease-free (iRBD-NC). Receiver operating characteristic (ROC) curves evaluated the predictive performance of slow-to-fast ratios, and subjective RBD severity as assessed with RBD Questionnaire-Hong Kong. RESULTS Twenty-two (33.8%) patients eventually developed neurodegenerative diseases. The iRBD-C group showed shorter total sleep time (p < 0.001), lower stage 2 sleep percentage (p = 0.044), more periodic leg-movement-related arousal index (p = 0.004), increased tonic chin electromyelographic activity (p = 0.040) and higher REM density in the third REM episode (p = 0.034) than the iRBD-NC group. EEG spectral power analyses revealed that iRBD phenoconverters showed significantly higher delta and lower alpha power, especially in central and occipital regions during the phasic REM state compared to the iRBD-NC group. Significantly higher slow-to-fast ratios were observed in a more generalized way during the phasic state in the iRBD-C group compared to the iRBD-NC group. ROC analyses of the slowing ratio in occipital areas during phasic REM sleep yielded an area under the curve of 0.749 (p = 0.001), while no significant predictive value of subjective RBD severity was observed. CONCLUSION Our study shows that EEG slowing, especially in a more generalized manner during the phasic period, may be a promising marker in predicting phenoconversion in iRBD, rather than subjective RBD severity.
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Affiliation(s)
- Si-Yi Gong
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Yun Shen
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Han-Ying Gu
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Sheng Zhuang
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Xiang Fu
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.,Institute of Neuroscience, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China
| | - Qiao-Jun Wang
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Cheng-Jie Mao
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Hua Hu
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Yong-Ping Dai
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Chun-Feng Liu
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.,Institute of Neuroscience, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.,Department of Neurology, Suqian First Hospital, Suqian, People's Republic of China
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17
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Neurophysiological Aspects of REM Sleep Behavior Disorder (RBD): A Narrative Review. Brain Sci 2021. [PMID: 34942893 DOI: 10.3390/brainsci11121588.] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
REM sleep without atonia (RSWA) is the polysomnographic (PSG) hallmark of rapid eye movement (REM) sleep behavior disorder (RBD), a feature essential for the diagnosis of this condition. Several additional neurophysiological aspects of this complex disorder have also recently been investigated in depth, which constitute the focus of this narrative review, together with RSWA. First, we describe the complex neural network underlying REM sleep and its muscle atonia, focusing on the disordered mechanisms leading to RSWA. RSWA is then described in terms of its polysomnographic features, and the methods (visual and automatic) currently available for its scoring and quantification are exposed and discussed. Subsequently, more recent and advanced neurophysiological features of RBD are described, such as electroencephalography during wakefulness and sleep, transcranial magnetic stimulation, and vestibular evoked myogenic potentials. The role of the assessment of neurophysiological features in the study of RBD is then carefully discussed, highlighting their usefulness and sensitivity in detecting neurodegeneration in the early or prodromal stages of RBD, as well as their relationship with other proposed biomarkers for the diagnosis, prognosis, and monitoring of this condition. Finally, a future research agenda is proposed to help clarify the many still unclear aspects of RBD.
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18
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Figorilli M, Lanza G, Congiu P, Lecca R, Casaglia E, Mogavero MP, Puligheddu M, Ferri R. Neurophysiological Aspects of REM Sleep Behavior Disorder (RBD): A Narrative Review. Brain Sci 2021; 11:brainsci11121588. [PMID: 34942893 PMCID: PMC8699681 DOI: 10.3390/brainsci11121588] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 11/28/2021] [Accepted: 11/29/2021] [Indexed: 02/07/2023] Open
Abstract
REM sleep without atonia (RSWA) is the polysomnographic (PSG) hallmark of rapid eye movement (REM) sleep behavior disorder (RBD), a feature essential for the diagnosis of this condition. Several additional neurophysiological aspects of this complex disorder have also recently been investigated in depth, which constitute the focus of this narrative review, together with RSWA. First, we describe the complex neural network underlying REM sleep and its muscle atonia, focusing on the disordered mechanisms leading to RSWA. RSWA is then described in terms of its polysomnographic features, and the methods (visual and automatic) currently available for its scoring and quantification are exposed and discussed. Subsequently, more recent and advanced neurophysiological features of RBD are described, such as electroencephalography during wakefulness and sleep, transcranial magnetic stimulation, and vestibular evoked myogenic potentials. The role of the assessment of neurophysiological features in the study of RBD is then carefully discussed, highlighting their usefulness and sensitivity in detecting neurodegeneration in the early or prodromal stages of RBD, as well as their relationship with other proposed biomarkers for the diagnosis, prognosis, and monitoring of this condition. Finally, a future research agenda is proposed to help clarify the many still unclear aspects of RBD.
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Affiliation(s)
- Michela Figorilli
- Neurology Unit, Department of Medical Sciences and Public Health, University of Cagliari and AOU Cagliari, Monserrato, 09042 Cagliari, Italy; (M.F.); (P.C.); (R.L.); (E.C.); (M.P.)
- Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari, Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy
| | - Giuseppe Lanza
- Clinical Neurophysiology Research Unit, Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy;
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy
| | - Patrizia Congiu
- Neurology Unit, Department of Medical Sciences and Public Health, University of Cagliari and AOU Cagliari, Monserrato, 09042 Cagliari, Italy; (M.F.); (P.C.); (R.L.); (E.C.); (M.P.)
- Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari, Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy
| | - Rosamaria Lecca
- Neurology Unit, Department of Medical Sciences and Public Health, University of Cagliari and AOU Cagliari, Monserrato, 09042 Cagliari, Italy; (M.F.); (P.C.); (R.L.); (E.C.); (M.P.)
- Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari, Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy
| | - Elisa Casaglia
- Neurology Unit, Department of Medical Sciences and Public Health, University of Cagliari and AOU Cagliari, Monserrato, 09042 Cagliari, Italy; (M.F.); (P.C.); (R.L.); (E.C.); (M.P.)
- Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari, Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy
| | - Maria P. Mogavero
- Istituti Clinici Scientifici Maugeri, IRCCS, Scientific Institute of Pavia, 27100 Pavia, Italy;
| | - Monica Puligheddu
- Neurology Unit, Department of Medical Sciences and Public Health, University of Cagliari and AOU Cagliari, Monserrato, 09042 Cagliari, Italy; (M.F.); (P.C.); (R.L.); (E.C.); (M.P.)
- Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari, Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy
| | - Raffaele Ferri
- Clinical Neurophysiology Research Unit, Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy;
- Correspondence: ; Tel.: +39-0935-936111
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19
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Lucey BP, Wisch J, Boerwinkle AH, Landsness EC, Toedebusch CD, McLeland JS, Butt OH, Hassenstab J, Morris JC, Ances BM, Holtzman DM. Sleep and longitudinal cognitive performance in preclinical and early symptomatic Alzheimer's disease. Brain 2021; 144:2852-2862. [PMID: 34668959 PMCID: PMC8536939 DOI: 10.1093/brain/awab272] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 06/13/2021] [Accepted: 07/01/2021] [Indexed: 11/12/2022] Open
Abstract
Sleep monitoring may provide markers for future Alzheimer's disease; however, the relationship between sleep and cognitive function in preclinical and early symptomatic Alzheimer's disease is not well understood. Multiple studies have associated short and long sleep times with future cognitive impairment. Since sleep and the risk of Alzheimer's disease change with age, a greater understanding of how the relationship between sleep and cognition changes over time is needed. In this study, we hypothesized that longitudinal changes in cognitive function will have a non-linear relationship with total sleep time, time spent in non-REM and REM sleep, sleep efficiency and non-REM slow wave activity. To test this hypothesis, we monitored sleep-wake activity over 4-6 nights in 100 participants who underwent standardized cognitive testing longitudinally, APOE genotyping, and measurement of Alzheimer's disease biomarkers, total tau and amyloid-β42 in the CSF. To assess cognitive function, individuals completed a neuropsychological testing battery at each clinical visit that included the Free and Cued Selective Reminding test, the Logical Memory Delayed Recall assessment, the Digit Symbol Substitution test and the Mini-Mental State Examination. Performance on each of these four tests was Z-scored within the cohort and averaged to calculate a preclinical Alzheimer cognitive composite score. We estimated the effect of cross-sectional sleep parameters on longitudinal cognitive performance using generalized additive mixed effects models. Generalized additive models allow for non-parametric and non-linear model fitting and are simply generalized linear mixed effects models; however, the linear predictors are not constant values but rather a sum of spline fits. We found that longitudinal changes in cognitive function measured by the cognitive composite decreased at low and high values of total sleep time (P < 0.001), time in non-REM (P < 0.001) and REM sleep (P < 0.001), sleep efficiency (P < 0.01) and <1 Hz and 1-4.5 Hz non-REM slow wave activity (P < 0.001) even after adjusting for age, CSF total tau/amyloid-β42 ratio, APOE ε4 carrier status, years of education and sex. Cognitive function was stable over time within a middle range of total sleep time, time in non-REM and REM sleep and <1 Hz slow wave activity, suggesting that certain levels of sleep are important for maintaining cognitive function. Although longitudinal and interventional studies are needed, diagnosing and treating sleep disturbances to optimize sleep time and slow wave activity may have a stabilizing effect on cognition in preclinical or early symptomatic Alzheimer's disease.
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Affiliation(s)
- Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Julie Wisch
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Anna H Boerwinkle
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Eric C Landsness
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Cristina D Toedebusch
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Jennifer S McLeland
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Omar H Butt
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Jason Hassenstab
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO 63110, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Beau M Ances
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO 63110, USA
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO 63110, USA
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20
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Betta M, Handjaras G, Leo A, Federici A, Farinelli V, Ricciardi E, Siclari F, Meletti S, Ballotta D, Benuzzi F, Bernardi G. Cortical and subcortical hemodynamic changes during sleep slow waves in human light sleep. Neuroimage 2021; 236:118117. [PMID: 33940148 DOI: 10.1016/j.neuroimage.2021.118117] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 04/09/2021] [Accepted: 04/18/2021] [Indexed: 12/22/2022] Open
Abstract
EEG slow waves, the hallmarks of NREM sleep are thought to be crucial for the regulation of several important processes, including learning, sensory disconnection and the removal of brain metabolic wastes. Animal research indicates that slow waves may involve complex interactions within and between cortical and subcortical structures. Conventional EEG in humans, however, has a low spatial resolution and is unable to accurately describe changes in the activity of subcortical and deep cortical structures. To overcome these limitations, here we took advantage of simultaneous EEG-fMRI recordings to map cortical and subcortical hemodynamic (BOLD) fluctuations time-locked to slow waves of light sleep. Recordings were performed in twenty healthy adults during an afternoon nap. Slow waves were associated with BOLD-signal increases in the posterior brainstem and in portions of thalamus and cerebellum characterized by preferential functional connectivity with limbic and somatomotor areas, respectively. At the cortical level, significant BOLD-signal decreases were instead found in several areas, including insula and somatomotor cortex. Specifically, a slow signal increase preceded slow-wave onset and was followed by a delayed, stronger signal decrease. Similar hemodynamic changes were found to occur at different delays across most cortical brain areas, mirroring the propagation of electrophysiological slow waves, from centro-frontal to inferior temporo-occipital cortices. Finally, we found that the amplitude of electrophysiological slow waves was positively related to the magnitude and inversely related to the delay of cortical and subcortical BOLD-signal changes. These regional patterns of brain activity are consistent with theoretical accounts of the functions of sleep slow waves.
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Affiliation(s)
- Monica Betta
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Piazza San Francesco, 19, Lucca 55100, Italy
| | - Giacomo Handjaras
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Piazza San Francesco, 19, Lucca 55100, Italy
| | - Andrea Leo
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Piazza San Francesco, 19, Lucca 55100, Italy
| | - Alessandra Federici
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Piazza San Francesco, 19, Lucca 55100, Italy
| | - Valentina Farinelli
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Emiliano Ricciardi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Piazza San Francesco, 19, Lucca 55100, Italy
| | - Francesca Siclari
- Center for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
| | - Stefano Meletti
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Neurology Dept., Azienda Ospedaliera Universitaria di Modena, Modena, Italy
| | - Daniela Ballotta
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Francesca Benuzzi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Giulio Bernardi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Piazza San Francesco, 19, Lucca 55100, Italy.
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