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Li X, Shen M, Shen Z, Han Z, Jiao J, Tong X. Reading the mind in the eyes in patients with idiopathic REM sleep behavior disorder. Neurol Sci 2024; 45:2697-2703. [PMID: 38190083 DOI: 10.1007/s10072-024-07303-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 01/01/2024] [Indexed: 01/09/2024]
Abstract
OBJECTIVES Idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) is characterized by vocalizations, jerks, and motor behaviors during REM sleep, often associated with REM-related dream content, which is considered a prodromal stage of α-synucleinopathy. The results of the Reading the Mind in the Eyes (RME) reflecting affective Theory of Mind (ToM) are inconsistent in α-synucleinopathy. The present study tried to investigate the RME in patients with iRBD. METHODS A total of 35 patients with iRBD and 26 healthy controls were included in the study. All participants were administered the RME and the cognitive assessments according to a standard procedure. The patients with iRBD were further divided into two groups (high or low RME) according to the scores of the RME (> 21, or ≤ 20). RESULTS The patients with iRBD had worse scores on cognitive tests compared with healthy controls involving global cognitive screening, memory, and visuospatial abilities (p < 0.05), but the scores of the RME were similar between the two groups (20.83 ± 3.38, 20.58 ± 3.43) (p ˃ 0.05). Patients with low RME had more obvious cognitive impairments than healthy controls. After applying Bonferroni correction for multiple tests, the low REM group only performed worse on the Sum of trials 1 to 5 and delayed recall of the RAVLT compared with the healthy control group (p < 0.001, = 0.002). The RME correlated with the scores of cognitive tests involving executive function, attention, memory, and visuospatial function. CONCLUSIONS The changes in RME had a relationship with cognitive impairments, especially memory, in patients with iRBD.
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Affiliation(s)
- Xudong Li
- Department of Cognitive Disorder, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, South 4th Ring Road West 119, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
| | - Miaoxin Shen
- Department of Cognitive Disorder, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, South 4th Ring Road West 119, Beijing, 100070, China
| | | | - Ziling Han
- Department of Cognitive Disorder, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, South 4th Ring Road West 119, Beijing, 100070, China
| | - Jinsong Jiao
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Xiaopeng Tong
- Department of Microbiology and Immunology, Medical School, Xizang Minzu University, Xianyang, China
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Bramich S, Noyce AJ, King AE, Naismith SL, Kuruvilla MV, Lewis SJG, Roccati E, Bindoff AD, Barnham KJ, Beauchamp LC, Vickers JC, Pérez-Carbonell L, Alty J. Isolated rapid eye movement sleep behaviour disorder (iRBD) in the Island Study Linking Ageing and Neurodegenerative Disease (ISLAND) Sleep Study: protocol and baseline characteristics. J Sleep Res 2024; 33:e14109. [PMID: 38014898 DOI: 10.1111/jsr.14109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/31/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023]
Abstract
Isolated rapid eye movement (REM) sleep behaviour disorder (iRBD) is a sleep disorder that is characterised by dream enactment episodes during REM sleep. It is the strongest known predictor of α-synuclein-related neurodegenerative disease (αNDD), such that >80% of people with iRBD will eventually develop Parkinson's disease, dementia with Lewy bodies, or multiple system atrophy in later life. More research is needed to understand the trajectory of phenoconversion to each αNDD. Only five 'gold standard' prevalence studies of iRBD in older adults have been undertaken previously, with estimates ranging from 0.74% to 2.01%. The diagnostic recommendations for video-polysomnography (vPSG) to confirm iRBD makes prevalence studies challenging, as vPSG is often unavailable to large cohorts. In Australia, there have been no iRBD prevalence studies, and little is known about the cognitive and motor profiles of Australian people with iRBD. The Island Study Linking Ageing and Neurodegenerative Disease (ISLAND) Sleep Study will investigate the prevalence of iRBD in Tasmania, an island state of Australia, using validated questionnaires and home-based vPSG. It will also explore several cognitive, motor, olfactory, autonomic, visual, tactile, and sleep profiles in people with iRBD to better understand which characteristics influence the progression of iRBD to αNDD. This paper details the ISLAND Sleep Study protocol and presents preliminary baseline results.
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Affiliation(s)
- Samantha Bramich
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Australia
| | - Alastair J Noyce
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University, London, UK
| | - Anna E King
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Australia
| | - Sharon L Naismith
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | | | - Simon J G Lewis
- Brain and Mind Centre, The University of Sydney, Camperdown, Australia
| | - Eddy Roccati
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Australia
| | - Aidan D Bindoff
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Australia
| | - Kevin J Barnham
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia
| | - Leah C Beauchamp
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - James C Vickers
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Australia
| | - Laura Pérez-Carbonell
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University, London, UK
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Jane Alty
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Australia
- School of Medicine, University of Tasmania, Hobart, Australia
- Department of Neurology, Royal Hobart Hospital, Hobart, Australia
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Najafzadeh M, Mohammadian F, Mirabian S, Ganji Z, Akbari H, Rezaie M, Ranjbar E, Zare H, Nasseri S, Ferini‐Strambi L. Rapid eye movement sleep behavior disorder and its relation to Parkinson's disease: The potential of graph measures as brain biomarkers to identify the underlying physiopathology of the disorder. Brain Behav 2024; 14:e3460. [PMID: 38494747 PMCID: PMC10945078 DOI: 10.1002/brb3.3460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 03/19/2024] Open
Abstract
Rapid eye movement behavior disorder (RBD) is a parasomnia characterized by the loss of skeletal muscle atonia during the rapid eye movement (REM) sleep phase. On the other hand, idiopathic RDB (iRBD) is considered the prelude of the various α-synucleinopathies, including Parkinson's disease (PD), dementia with Lewy bodies and multiple system atrophy. Consequently, over 40% of patients eventually develop PD. Recent neuroimaging studies utilizing structural magnetic resonance imaging (s-MRI), diffusion-weighted imaging (DWI), and functional magnetic resonance imaging (fMRI) with graph theoretical analysis have demonstrated that patients with iRBD and Parkinson's disease have extensive brain abnormalities. Thus, it is crucial to identify new biomarkers that aid in determining the underlying physiopathology of iRBD group. This review was conducted systematically on the included full-text articles of s-MRI, DWI, and fMRI studies using graph theoretical analysis on patients with iRBD, per the procedures recommended by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The literature search was conducted through the PubMed and Google scholar databases concentrating on studies from September to January 2022. Based on the three perspectives of integration, segregation, and centrality, the reviewed articles demonstrated that iRBD is associated with segregation disorders in frontal and limbic brain regions. Moreover, this study highlighted the need for additional longitudinal and multicenter studies to better understand the potential of graph metrics as brain biomarkers for identifying the underlying physiopathology of iRBD group.
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Affiliation(s)
- Milad Najafzadeh
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Fatemeh Mohammadian
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Sara Mirabian
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Zohre Ganji
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Hossein Akbari
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Masoud Rezaie
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
| | - Esmaeil Ranjbar
- Department of Anatomy and Cell Biology, School of MedicineMashhad University of Medical SciencesMashhadIran
| | - Hoda Zare
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
- Medical Physics Research CenterMashhad University of Medical SciencesMashhadIran
| | - Shahrokh Nasseri
- Department of Medical Physics, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
- Medical Physics Research CenterMashhad University of Medical SciencesMashhadIran
| | - Luigi Ferini‐Strambi
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Sleep Disorders CenterSan Raffaele Scientific InstituteMilanItaly
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Matsushima T, Yoshinaga K, Wakasugi N, Togo H, Hanakawa T. Functional connectivity-based classification of rapid eye movement sleep behavior disorder. Sleep Med 2024; 115:5-13. [PMID: 38295625 DOI: 10.1016/j.sleep.2024.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 01/13/2024] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND Isolated rapid eye movement sleep behavior disorder (iRBD) is a clinically important parasomnia syndrome preceding α-synucleinopathies, thereby prompting us to develop methods for evaluating latent brain states in iRBD. Resting-state functional magnetic resonance imaging combined with a machine learning-based classification technology may help us achieve this purpose. METHODS We developed a machine learning-based classifier using functional connectivity to classify 55 patients with iRBD and 97 healthy elderly controls (HC). Selecting 55 HCs randomly from the HC dataset 100 times, we conducted a classification of iRBD and HC for each sampling, using functional connectivity. Random forest ranked the importance of functional connectivity, which was subsequently used for classification with logistic regression and a support vector machine. We also conducted correlation analysis of the selected functional connectivity with subclinical variations in motor and non-motor functions in the iRBDs. RESULTS Mean classification performance using logistic regression was 0.649 for accuracy, 0.659 for precision, 0.662 for recall, 0.645 for f1 score, and 0.707 for the area under the receiver operating characteristic curve (p < 0.001 for all). The result was similar in the support vector machine. The classifier used functional connectivity information from nine connectivities across the motor and somatosensory areas, parietal cortex, temporal cortex, thalamus, and cerebellum. Inter-individual variations in functional connectivity were correlated with the subclinical motor and non-motor symptoms of iRBD patients. CONCLUSIONS Machine learning-based classifiers using functional connectivity may be useful to evaluate latent brain states in iRBD.
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Affiliation(s)
- Toma Matsushima
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan; Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei, Tokyo, 184-8588, Japan
| | - Kenji Yoshinaga
- Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Noritaka Wakasugi
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan
| | - Hiroki Togo
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan; Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan
| | - Takashi Hanakawa
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8501, Japan; Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, 606-8501, Japan.
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Liu L, Shi Z, Gan J, Liu S, Wen C, Yang Y, Yang F, Ji Y. Characterization of de novo Dementia with Lewy Body with different duration of rapid eye movement sleep behavior disorder. Sleep Med 2024; 114:101-108. [PMID: 38176204 DOI: 10.1016/j.sleep.2023.12.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/06/2023] [Accepted: 12/25/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND Cognitive disorder, parkinsonism, autonomic dysfunction (AuD) and rapid eye movement sleep behavior disorder (RBD) can occur prior to or simultaneously with Dementia with Lewy Body (DLB) onset. RBD is generally linked with progressive neurodegenerative traits. However, associations between RBD with DLB, RBD without DLB, and RBD duration effects on DLB symptoms remain unclear. OBJECTIVES To examine DLB symptom frequency and subtypes in RBD, and explore the effects of different RBD onset times on symptoms in de novo DLB patients. METHODS In this multicenter investigation, we consecutively recruited 271 de novo DLB patients. All had standardized clinical and comprehensive neuropsychological evaluations. Subgroup analyses, performed based on the duration of RBD confirmed by polysomnography before the DLB diagnosis, we compared the proportion of patients with cognitive impairment, parkinsonism, and AuD features between groups. RESULTS Parkinsonism and AuD incidences were significantly elevated in DLB patients with RBD when compared with patients without RBD. Subgroup analyses indicated no significant differences in parkinsonism between DLB patients who developed RBD ≥10 years prior to the DLB diagnosis and DLB patients without RBD. The incidence of non-tremor-predominant parkinsonism and AuD was significantly higher in DLB patients whose RBD duration before the DLB diagnosis was <10 years when compared with DLB patients without RBD. CONCLUSIONS We identified significant symptom and phenotypic variability between DLB patients with and without RBD. Also, different RBD duration effects before the DLB diagnosis had a significant impact on symptomatic phenotypes, suggesting the existence of a slowly progressive DLB neurodegenerative subtype.
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Affiliation(s)
- Lixin Liu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China; The Psycho Department of Beijing Geriatric Hospital, Beijing, China
| | - Zhihong Shi
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Jinghuan Gan
- Department of Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Shuai Liu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Chen Wen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yaqi Yang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Fan Yang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Yong Ji
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China; Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.
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6
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Donzuso G, Cicero CE, Giuliano L, Squillaci R, Luca A, Palmucci S, Basile A, Lanza G, Ferri R, Zappia M, Nicoletti A. Neuroanatomical findings in isolated REM sleep behavior disorder and early Parkinson's disease: a Voxel-based morphometry study. Brain Imaging Behav 2024; 18:83-91. [PMID: 37897654 PMCID: PMC10844466 DOI: 10.1007/s11682-023-00815-0] [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] [Accepted: 10/15/2023] [Indexed: 10/30/2023]
Abstract
Isolated rapid eye movement (REM) sleep behavior disorder (iRBD) is a parasomnia characterized by loss of physiological atonia of skeletal muscles with abnormal behaviors arising during REM sleep. RBD is often the early manifestation of neurodegenerative diseases, particularly alpha-synucleinopathies, such as Parkinson's disease (PD). Both structural and functional neuroimaging studies suggest that iRBD might share, or even precede, some of the features commonly found in PD, although without a definitive conclusion. Aim of the study is to evaluate the presence of structural abnormalities involving cortical and subcortical areas in PD patients with RBD and iRBD. Patients with video-polysomnographic (VPSG)-confirmed iRBD, and patients with a diagnosis of PD were recruited. In all PD patients, the presence of probable RBD was assessed during the follow-up visits (PD/pRBD). A group of healthy controls (HC) subjects was also recruited. Each subject underwent a structural brain MRI using a 3-D T1-weighted spoiled gradient echo sequence. Twenty-three patients with iRBD, 24 PD/pRBD, and 26 HC were enrolled. Voxel-based morphometry-AnCOVA analysis revealed clusters of grey matter changes in iRBD and PD/pRBD compared to HC in several regions, involving mainly the frontal and temporal regions. The involvement of cortical brain structures associated to the control of sleep cycle and REM stage both in PD/pRBD and iRBD might suggest the presence of a common structural platform linking iRBD and PD, although this pattern may not underlie exclusively RBD-related features. Further longitudinal studies are needed to clarify the patterns of changes occurring at different time points of RBD-related neurodegeneration.
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Affiliation(s)
- Giulia Donzuso
- Department of Medical, Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Via Santa Sofia 78, 95123, Catania, Italy
| | - Calogero E Cicero
- Department of Medical, Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Via Santa Sofia 78, 95123, Catania, Italy
| | - Loretta Giuliano
- Department of Medical, Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Via Santa Sofia 78, 95123, Catania, Italy
| | - Raffaele Squillaci
- Department of Medical, Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Via Santa Sofia 78, 95123, Catania, Italy
| | - Antonina Luca
- Department of Medical, Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Via Santa Sofia 78, 95123, Catania, Italy
| | - Stefano Palmucci
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-San Marco", Via Santa Sofia 78, 95123, Catania, Italy
| | - Antonello Basile
- Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-San Marco", Via Santa Sofia 78, 95123, Catania, Italy
| | - Giuseppe Lanza
- Sleep Research Center, Department of Neurology IC, Oasi Research Institute - IRCCS, Troina, Italy
- Department of Surgery and Medical-Surgical Specialties, University of Catania, 95123, Catania, Italy
| | - Raffaele Ferri
- Sleep Research Center, Department of Neurology IC, Oasi Research Institute - IRCCS, Troina, Italy
| | - Mario Zappia
- Department of Medical, Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Via Santa Sofia 78, 95123, Catania, Italy
| | - Alessandra Nicoletti
- Department of Medical, Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, Via Santa Sofia 78, 95123, Catania, Italy.
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Keavney JL, Mathur S, Schroeder K, Merrell R, Castillo-Torres SA, Gao V, Crotty GF, Schwarzschild MA, Poma JM. Perspectives of People At-Risk on Parkinson's Prevention Research. JOURNAL OF PARKINSON'S DISEASE 2024; 14:399-414. [PMID: 38489198 DOI: 10.3233/jpd-230436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Abstract
The movement toward prevention trials in people at-risk for Parkinson's disease (PD) is rapidly becoming a reality. The authors of this article include a genetically at-risk advocate with the LRRK2 G2019 S variant and two patients with rapid eye movement sleep behavior disorder (RBD), one of whom has now been diagnosed with PD. These authors participated as speakers, panelists, and moderators in the "Planning for Prevention of Parkinson's: A Trial Design Forum" hosted by Massachusetts General Hospital in 2021 and 2022. Other authors include a young onset person with Parkinson's (PwP) and retired family physician, an expert in patient engagement in Parkinson's, and early career and veteran movement disorders clinician researchers. Several themes emerged from the at-risk participant voice concerning the importance of early intervention, the legitimacy of their input in decision-making, and the desire for transparent communication and feedback throughout the entire research study process. Challenges and opportunities in the current environment include lack of awareness among primary care physicians and general neurologists about PD risk, legal and psychological implications of risk disclosure, limited return of individual research study results, and undefined engagement and integration of individuals at-risk into the broader Parkinson's community. Incorporating the perspectives of individuals at-risk as well as those living with PD at this early stage of prevention trial development is crucial to success.
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Affiliation(s)
- Jessi L Keavney
- Parkinson's Foundation, Parkinson's Advocates in Research Program, Pendergrass, GA, USA
| | | | - Karlin Schroeder
- Parkinson's Foundation, Associate Vice President of Community Engagement, New York, NY, USA
| | | | - Sergio A Castillo-Torres
- Edmond J. Safra Fellow in Movement Disorders, Servicio de Movimientos Anormales, Fleni, Buenos Aires, Argentina
| | - Virginia Gao
- Movement Disorders Fellow, Columbia University Irving Medical Center and Weill Cornell Medicine, New York, NY, USA
| | - Grace F Crotty
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Michael A Schwarzschild
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - John M Poma
- Parkinson's Foundation, People with Parkinson's Advisory Council, Glen Allen, VA, USA
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8
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Wang J, Lam SP, Huang B, Liu Y, Zhang J, Yu MWM, Tsang JCC, Zhou L, Chau SWH, Chan NY, Chan JWY, Schenck CH, Li SX, Mok VCT, Ma KKY, Chan AYY, Wing YK. Familial α-synucleinopathy spectrum features in patients with psychiatric REM sleep behaviour disorder. J Neurol Neurosurg Psychiatry 2023; 94:893-903. [PMID: 37399287 DOI: 10.1136/jnnp-2022-330922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 05/28/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Rapid eye movement (REM) sleep behaviour disorder (RBD) is one of the earliest and most specific prodromes of the α-synucleinopathies including Parkinson's disease (PD). It remains uncertain whether RBD occurring in the context of psychiatric disorders (psy-RBD), although very common, is merely a benign epiphenomenon of antidepressant treatment, or whether it harbours an underlying α-synucleinopathy. We hypothesised that patients with psy-RBD demonstrate a familial predisposition to an α-synucleinopathy. METHODS In this case-control-family study, a combination of family history and family study method was used to measure the α-synucleinopathy spectrum features, which included RBD, neurodegenerative prodromal markers and clinical diagnoses of neurodegenerative disorders. We compared the risk of α-synucleinopathy spectrum features in the first-degree relatives (FDRs) of patients with psy-RBD, psychiatric controls and healthy controls. RESULTS There was an increase of α-synucleinopathy spectrum features in the psy-RBD-FDRs, including possible and provisional RBD (adjusted HR (aHR)=2.02 and 6.05, respectively), definite RBD (adjusted OR=11.53) and REM-related phasic electromyographic activities, prodromal markers including depression (aHR=4.74) and probable subtle parkinsonism, risk of prodromal PD and clinical diagnosis of PD/dementia (aHR=5.50), as compared with healthy-control-FDRs. When compared with psychiatric-control-FDRs, psy-RBD-FDRs consistently presented with a higher risk for the diagnosis and electromyographic features of RBD, diagnosis of PD/dementia (aHR=3.91) and risk of prodromal PD. In contrast, psychiatric controls only presented with a familial aggregation of depression. CONCLUSION Patients with psy-RBD are familially predisposed to α-synucleinopathy. The occurrence of RBD with major depression may signify a subtype of major depressive disorders with underlying α-synucleinopathy neurodegeneration. TRIAL REGISTRATION NUMBER NCT03595475.
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Affiliation(s)
- Jing Wang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Siu Ping Lam
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Bei Huang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jihui Zhang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Mandy W M Yu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jessie C C Tsang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Li Zhou
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Steven W H Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Joey W Y Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Carlos H Schenck
- Minnesota Regional Sleep Disorders Center, and Departments of Psychiatry, Hennepin County Medical Center and University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Shirley X Li
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Vincent C T Mok
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Karen Ka Yan Ma
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Yin Yan Chan
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
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Li X, Zong Q, Liu L, Liu Y, Shen Y, Tang X, Wing YK, Li SX, Zhou J. Sex differences in rapid eye movement sleep behavior disorder: A systematic review and meta-analysis. Sleep Med Rev 2023; 71:101810. [PMID: 37422999 DOI: 10.1016/j.smrv.2023.101810] [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: 02/13/2023] [Revised: 05/28/2023] [Accepted: 06/22/2023] [Indexed: 07/11/2023]
Abstract
Although rapid eye movement (REM) sleep behavior disorder (RBD) has been widely considered as a male-predominant parasomnia, the existing evidence for the sex difference in the risk of RBD in the general population was conflicting. The present study conducted a systematic review to explore the sex differences in the prevalence, comorbidities, clinical characteristics, and phenoconversion of RBD. One hundred thirty-five eligible studies were identified for the systematic review, and 133 were finally included in the meta-analysis. Males in the general population showed a trend for a higher risk of probable/possible RBD (pRBD), especially among the male older adults (aged ≥60). In the clinical populations, males showed a significantly higher risk of confirmed RBD, but not of pRBD. Among idiopathic RBD (iRBD) patients, males had a significantly earlier age onset of RBD compared with females. Male patients with Parkinson's disease (PD) had a higher risk of comorbid RBD. There was no significant sex difference in the risk of developing neurodegenerative diseases in iRBD patients. Large scale and prospective studies utilizing stringent diagnostic criteria for RBD are recommended to further verify the sex differences in RBD and to investigate the mechanism underlying the sex difference.
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Affiliation(s)
- Xiao Li
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Sleep Research Clinic and Laboratory, Department of Psychology, The University of Hong Kong, Hong Kong; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong
| | - Qiang Zong
- Department of Trauma Surgery, Hannover Medical School, Germany
| | - Liu Liu
- Department of Anesthesiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yaping Liu
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Yanjiao Shen
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiangdong Tang
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yun Kwok Wing
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Shirley Xin Li
- Sleep Research Clinic and Laboratory, Department of Psychology, The University of Hong Kong, Hong Kong; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong.
| | - Junying Zhou
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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10
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Malkani R. REM Sleep Behavior Disorder and Other REM Parasomnias. Continuum (Minneap Minn) 2023; 29:1092-1116. [PMID: 37590824 DOI: 10.1212/con.0000000000001293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
OBJECTIVE This article reviews rapid eye movement (REM) sleep behavior disorder (RBD) and other REM sleep parasomnias, particularly recurrent isolated sleep paralysis and nightmare disorder. LATEST DEVELOPMENTS People with RBD have dream enactment behaviors that can be distressing and cause injuries to themselves or a bed partner. Diagnosis of RBD still requires video polysomnography but new evaluative techniques are emerging. Automatic scoring of REM sleep without atonia, the polysomnographic RBD feature, has led to clearer diagnostic cutoff values. Isolated RBD is strongly linked with neurodegenerative disorders, particularly α-synucleinopathies, with a median latency to neurodegenerative disease diagnosis of 8 years. Mounting imaging, electrophysiologic, and pathologic evidence supports neurodegenerative changes in patients with isolated RBD. Safety precautions should be reviewed with patients to reduce the risk of injury. Clonazepam and melatonin are first-line agents for RBD symptoms, and rivastigmine appears to be beneficial for RBD in people with mild cognitive impairment. For nightmare disorder, image rehearsal therapy is effective and can be delivered through online platforms. ESSENTIAL POINTS While RBD symptoms can often be managed, patients with isolated RBD should be monitored for signs and symptoms of impending neurodegenerative disease. Individuals who wish to know about the associated risk should be counseled accordingly to allow planning and involvement in research if they choose. Exercise may have some neuroprotective effects, although no treatment has been shown to modify the neurodegenerative risk.
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11
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Sodré ME, Wießner I, Irfan M, Schenck CH, Mota-Rolim SA. Awake or Sleeping? Maybe Both… A Review of Sleep-Related Dissociative States. J Clin Med 2023; 12:3876. [PMID: 37373570 DOI: 10.3390/jcm12123876] [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: 03/22/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 06/29/2023] Open
Abstract
Recent studies have begun to understand sleep not only as a whole-brain process but also as a complex local phenomenon controlled by specific neurotransmitters that act in different neural networks, which is called "local sleep". Moreover, the basic states of human consciousness-wakefulness, sleep onset (N1), light sleep (N2), deep sleep (N3), and rapid eye movement (REM) sleep-can concurrently appear, which may result in different sleep-related dissociative states. In this article, we classify these sleep-related dissociative states into physiological, pathological, and altered states of consciousness. Physiological states are daydreaming, lucid dreaming, and false awakenings. Pathological states include sleep paralysis, sleepwalking, and REM sleep behavior disorder. Altered states are hypnosis, anesthesia, and psychedelics. We review the neurophysiology and phenomenology of these sleep-related dissociative states of consciousness and update them with recent studies. We conclude that these sleep-related dissociative states have a significant basic and clinical impact since their study contributes to the understanding of consciousness and the proper treatment of neuropsychiatric diseases.
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Affiliation(s)
| | - Isabel Wießner
- Brain Institute, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
| | - Muna Irfan
- Department of Neurology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Carlos H Schenck
- Department of Neurology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Sergio A Mota-Rolim
- Brain Institute, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
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12
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Cesari M, Heidbreder A, Gaig C, Bergmann M, Brandauer E, Iranzo A, Holzknecht E, Santamaria J, Högl B, Stefani A. Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia. Sleep 2023; 46:zsab299. [PMID: 34984464 PMCID: PMC9995778 DOI: 10.1093/sleep/zsab299] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/18/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES To identify a fast and reliable method for rapid eye movement (REM) sleep without atonia (RWA) quantification. METHODS We analyzed 36 video-polysomnographies (v-PSGs) of isolated REM sleep behavior disorder (iRBD) patients and 35 controls' v-PSGs. Patients diagnosed with RBD had: i) RWA, quantified with a reference method, i.e. automatic and artifact-corrected 3-s Sleep Innsbruck Barcelona (SINBAR) index in REM sleep periods (RSPs, i.e. manually selected portions of REM sleep); and ii) v-PSG-documented RBD behaviors. We quantified RWA with other (semi)-automated methods requiring less human intervention than the reference one: the indices proposed by the SINBAR group (the 3-s and 30-s phasic flexor digitorum superficialis (FDS), phasic/"any"/tonic mentalis), and the REM atonia, short and long muscle activity indices (in mentalis/submentalis/FDS muscles). They were calculated in whole REM sleep (i.e. REM sleep scored following international guidelines), in RSPs, with and without manual artifact correction. Area under curves (AUC) discriminating iRBD from controls were computed. Using published cut-offs, the indices' sensitivity and specificity for iRBD identification were calculated. Apnea-hypopnea index in REM sleep (AHIREM) was considered in the analyses. RESULTS RWA indices from FDS muscles alone had the highest AUCs and all of them had 100% sensitivity. Without manual RSP selection and artifact correction, the "30-s phasic FDS" and the "FDS long muscle activity" had the highest specificity (85%) with AHIREM < 15/h. RWA indices were less reliable when AHIREM≥15/h. CONCLUSIONS If AHIREM<15/h, FDS muscular activity in whole REM sleep and without artifact correction is fast and reliable to rule out RWA.
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Affiliation(s)
- Matteo Cesari
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Anna Heidbreder
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Carles Gaig
- Neurology Service, Hospital Clínic of Barcelona, Barcelona, Spain
- Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Melanie Bergmann
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Elisabeth Brandauer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Alex Iranzo
- Neurology Service, Hospital Clínic of Barcelona, Barcelona, Spain
- Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Evi Holzknecht
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Joan Santamaria
- Neurology Service, Hospital Clínic of Barcelona, Barcelona, Spain
- Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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13
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Wu Z, Wu J, Xie C, Wang L, Li H, Zhang M, Fu Z, Lin Y, Qian B, Zhu L, Yu X, He J, Qi W, Wang H. Risk factors for rapid eye-movement sleep-related behavioral disorders (RBDs): A systematic review and a meta-analysis. Gen Hosp Psychiatry 2022; 79:118-127. [PMID: 36375340 DOI: 10.1016/j.genhosppsych.2022.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/05/2022] [Accepted: 10/15/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVE The present study aimed to systematically analyze the risk factors for RBD. METHODS A systematic review and meta-analysis of case-control studies, cohort studies, and cross-sectional studies derived from the articles published in eight electronic databases before December 1, 2021. The primary outcome was the odds ratio (OR) and 95% confidence interval (95% CI), and heterogeneity was quantified using I2. Subgroup analyses and meta-regression were used to explore sources of heterogeneity. Egger's test and sensitivity analysis were performed. The PROSPERO ID number of the present study is CRD42021293942. RESULTS We identified 26 studies (44,230 subjects) among 2022 citations, and 13 factors were considered. Male sex (OR = 1.36, 95% CI = 1.13-1.64), smoking (OR = 1.37, 95% CI: 1.26-1.50), depression (OR = 2.06, 95% CI = 1.66-2.56), antidepressant use (OR = 2.36, 95% CI = 1.98-2.82), duration of neuropsychiatric disorders(OR = 1.43, 95% CI = 1.13-1.73), levodopa equivalent daily dose (LEDD, OR = 60.15, 95% CI = 23.95-96.35) and observable motor dysfunction (OR = 2.43, 95% CI = 0.65-4.22) were associated with a higher risk of RBD. Tertiary education and above (OR = 0.58, 95% CI = 0.35-0.96) was associated with a lower RBD risk. Men (OR = 1.40, 95% CI: 1.10-1.78, I2 = 0%, P = 0.005) and older individual (OR = 2.73, 95% CI: 1.03-4.43, I2 = 60%, P = 0.002) were more likely to have iRBD. CONCLUSION Six modifiable risk factors and one protective factor were associated with RBD. Further research is required to understand the mechanisms and to develop preventative strategies.
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Affiliation(s)
- Zijing Wu
- School of Mental Health, Wenzhou Medical University, Wenzhou 325000, China
| | - Junxin Wu
- School of Mental Health, Wenzhou Medical University, Wenzhou 325000, China
| | - Caixia Xie
- School of Mental Health, Wenzhou Medical University, Wenzhou 325000, China
| | - Luchun Wang
- Dementia Care and Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Huizi Li
- Dementia Care and Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Ming Zhang
- Department of Psychiatry, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Zhiqiang Fu
- Shangrao Third Hospital, Shangrao 334000, China
| | | | - Bing Qian
- Shangrao Third Hospital, Shangrao 334000, China
| | - Limao Zhu
- Shangrao Third Hospital, Shangrao 334000, China
| | - Xin Yu
- Dementia Care and Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jincai He
- Department of Neurology, First Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Wei Qi
- Shangrao Third Hospital, Shangrao 334000, China.
| | - Huali Wang
- School of Mental Health, Wenzhou Medical University, Wenzhou 325000, China; Dementia Care and Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
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14
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Otaiku AI. Distressing dreams, cognitive decline, and risk of dementia: A prospective study of three population-based cohorts. EClinicalMedicine 2022; 52:101640. [PMID: 36313147 PMCID: PMC9596309 DOI: 10.1016/j.eclinm.2022.101640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/10/2022] [Accepted: 08/12/2022] [Indexed: 11/04/2022] Open
Abstract
Background Distressing dreams are associated with faster cognitive decline and increased dementia risk in people with Parkinson's disease (PD). Whether distressing dreams might be associated with cognitive decline and dementia in people without PD is unknown. This study investigated the association between self-reported distressing dream frequency and the risk of cognitive decline and incident dementia in community-dwelling men and women without cognitive impairment or PD. Methods Risk of cognitive decline was evaluated in 605 middle-aged adults (mean age = 50 years [IQR 44-57]; 55·7% female) from the Midlife in the United States (MIDUS) study, who were cognitively normal at baseline, and were followed-up for a maximum of 13 years (IQR 9-10). Cognitive decline was defined as having an annual rate of decline in global cognitive function (measured using five cognitive tests) ≥ 1 standard deviation faster than the mean decline rate from baseline to follow-up. Risk of incident all-cause dementia was evaluated in 2600 older adults (mean age = 83 years [IQR 81-84]; 56·7% female) pooled from the Osteoporotic Fractures in Men Study (MrOS) and the Study of Osteoporotic Fractures (SOF), who were dementia-free at baseline, and were followed-up for up a maximum of 7 years (IQR 4-5). Incident dementia was based on doctor-diagnosis. Frequency of distressing dreams was assessed in all cohorts at baseline (January 2002 - March 2012) using item 5h of the Pittsburgh Sleep Quality Index. The association between self-reported distressing dream frequency ("never", "less than weekly", "weekly") and later cognitive outcomes, was evaluated using multivariable logistic regression in both the middle-aged and pooled older adult cohorts. Findings After adjustment for all covariates, a higher frequency of distressing dreams was linearly and statistically significantly associated with higher risk of cognitive decline amongst middle-aged adults (P for trend = 0·016), and higher risk of incident all-cause dementia amongst older adults (P for trend <0·001). Compared with middle-aged adults who reported having no distressing dreams at baseline, those who reported having weekly distressing dreams had a 4-fold risk of experiencing cognitive decline (adjusted odds ratio [aOR] = 3·99; 95% CI: 1·07, 14·85). Amongst older adults, the difference in dementia risk was 2·2-fold (aOR = 2·21; 95% CI: 1·35, 3·62). In sex-stratified analyses, the associations between distressing dreams and both cognitive outcomes were only statistically significant amongst men. Interpretation Distressing dreams predict cognitive decline and all-cause dementia in middle-aged and older adults without cognitive impairment or PD - especially amongst men. These findings may help to identify individuals at risk of dementia and could facilitate early prevention strategies. Funding The study received no external funding.
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Affiliation(s)
- Abidemi I. Otaiku
- Department of Neurology, Birmingham City Hospital, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
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15
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Wang J, Chau SWH, Lam SP, Liu Y, Zhang J, Chan NY, Cheung MMS, Yu MWM, Tsang JCT, Chan JWY, Huang B, Li SX, Mok V, Wing YK. Prevalence and correlates of REM sleep behaviour disorder in patients with major depressive disorder: a two-phase study. J Neurol Neurosurg Psychiatry 2022; 93:1010-1017. [PMID: 34764151 DOI: 10.1136/jnnp-2021-327460] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 10/13/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To investigate the prevalence and clinical correlates of video polysomnography (vPSG)-confirmed rapid eye movement sleep behaviour disorder (RBD) in patients with major depressive disorder (MDD). METHODS This is a clinic-based two-phase epidemiological study. In phase 1, patients with MDD were screened by a validated questionnaire, RBD Questionnaire-Hong Kong (RBDQ-HK). In phase 2, a subsample of both the screen-positive (RBDQ-HK >20) and screen-negative patients with MDD underwent further clinical and sleep assessment (vPSG) to confirm the diagnosis of RBD (MDD+RBD). Poststratification weighting method was used to estimate the prevalence of MDD+RBD. The total likelihood ratio and the probability of prodromal Parkinson's disease (PD) were calculated from prodromal markers and risk factors, as per the Movement Disorder Society research criteria. RESULTS A total of 455 patients with MDD were screened (median age (IQR)=52.66 (15.35) years, 77.58% woman, 43.74% positive). Eighty-one patients underwent vPSG and 12 of them were confirmed MDD+RBD. The prevalence of MDD+RBD was estimated to be 8.77% (95% CI: 4.33% to 16.93%), with possibly male predominance. MDD+RBD were associated with colour vision and olfaction deficit and a higher probability for prodromal PD. CONCLUSIONS Almost 9% of patients with MDD in the psychiatric outpatient clinic has vPSG-confirmed RBD. Comorbid MDD+RBD may represent a subtype of MDD with underlying α-synucleinopathy neurodegeneration. Systematic screening of RBD symptoms and necessity of vPSG confirmation should be highlighted for capturing this MDD subtype with a view to enhance personalised treatment and future neuroprotection to prevent neurodegeneration.
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Affiliation(s)
- Jing Wang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Steven W H Chau
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Siu Ping Lam
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yaping Liu
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jihui Zhang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, Guangdong, China
| | - Ngan Yin Chan
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Maxine M S Cheung
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Mandy Wai Man Yu
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jessie C T Tsang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Joey W Y Chan
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Bei Huang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shirley X Li
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China.,The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Vincent Mok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yun Kwok Wing
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China .,Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
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16
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Lancione M, Donatelli G, Del Prete E, Campese N, Frosini D, Cencini M, Costagli M, Biagi L, Lucchi G, Tosetti M, Godani M, Arnaldi D, Terzaghi M, Provini F, Pacchetti C, Cortelli P, Bonanni E, Ceravolo R, Cosottini M. Evaluation of iron overload in nigrosome 1 via quantitative susceptibility mapping as a progression biomarker in prodromal stages of synucleinopathies. Neuroimage 2022; 260:119454. [PMID: 35810938 DOI: 10.1016/j.neuroimage.2022.119454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/17/2022] [Accepted: 07/05/2022] [Indexed: 10/17/2022] Open
Abstract
Idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) is a prodromal stage of α-synucleinopathies, such as Parkinson's disease (PD), which are characterized by the loss of dopaminergic neurons in substantia nigra, associated with abnormal iron load. The assessment of presymptomatic biomarkers predicting the onset of neurodegenerative disorders is critical for monitoring early signs, screening patients for neuroprotective clinical trials and understanding the causal relationship between iron accumulation processes and disease development. Here, we used Quantitative Susceptibility Mapping (QSM) and 7T MRI to quantify iron deposition in Nigrosome 1 (N1) in early PD (ePD) patients, iRBD patients and healthy controls and investigated group differences and correlation with disease progression. We evaluated the radiological appearance of N1 and analyzed its iron content in 35 ePD, 30 iRBD patients and 14 healthy controls via T2*-weighted sequences and susceptibility (χ) maps. N1 regions of interest (ROIs) were manually drawn on control subjects and warped onto a study-specific template to obtain probabilistic N1 ROIs. For each subject the N1 with the highest mean χ was considered for statistical analysis. The appearance of N1 was rated pathological in 45% of iRBD patients. ePD patients showed increased N1 χ compared to iRBD patients and HC but no correlation with disease duration, indicating that iron load remains stable during the early stages of disease progression. Although no difference was reported in iron content between iRBD and HC, N1 χ in the iRBD group increases as the disease evolves. QSM can reveal temporal changes in N1 iron content and its quantification may represent a valuable presymptomatic biomarker to assess neurodegeneration in the prodromal stages of PD.
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Affiliation(s)
- Marta Lancione
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy; Imago7 Research Foundation, Pisa, Italy
| | - Graziella Donatelli
- Imago7 Research Foundation, Pisa, Italy; Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
| | - Eleonora Del Prete
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Nicole Campese
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Daniela Frosini
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Matteo Cencini
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy; Imago7 Research Foundation, Pisa, Italy
| | - Mauro Costagli
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genoa, Italy
| | - Laura Biagi
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy; Imago7 Research Foundation, Pisa, Italy
| | - Giacomo Lucchi
- Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Michela Tosetti
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy; Imago7 Research Foundation, Pisa, Italy
| | | | - Dario Arnaldi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Michele Terzaghi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; IRCCS Mondino Foundation, Pavia, Italy
| | - Federica Provini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Clinica Neurologica Rete Metropolitana, Bologna, Italy; Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Claudio Pacchetti
- Parkinson's Disease and Movement Disorders Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Pietro Cortelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Clinica Neurologica Rete Metropolitana, Bologna, Italy; Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Enrica Bonanni
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Roberto Ceravolo
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Mirco Cosottini
- Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
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Lai H, Li XY, Hu J, Li W, Xu F, Zhu J, He R, Weng H, Chen L, Yu J, Li X, Song Y, Wang X, Wang Z, Li W, Kang R, Li Y, Xu J, Deng Y, Ye Q, Wang C. Development and Validation of a Predictive Nomogram for Possible REM Sleep Behavior Disorders. Front Neurol 2022; 13:903721. [PMID: 35847229 PMCID: PMC9277017 DOI: 10.3389/fneur.2022.903721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 05/26/2022] [Indexed: 11/17/2022] Open
Abstract
Objectives To develop and validate a predictive nomogram for idiopathic rapid eye movement (REM) sleep behavior disorder (RBD) in a community population in Beijing, China. Methods Based on the validated RBD questionnaire-Hong Kong (RBDQ-HK), we identified 78 individuals with possible RBD (pRBD) in 1,030 community residents from two communities in Beijing. The least absolute shrinkage and selection operator (LASSO) regression was applied to identify candidate features and develop the nomogram. Internal validation was performed using bootstrap resampling. The discrimination of the nomogram was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, and the predictive accuracy was assessed via a calibration curve. Decision curve analysis (DCA) was performed to evaluate the clinical value of the model. Results From 31 potential predictors, 7 variables were identified as the independent predictive factors and assembled into the nomogram: family history of Parkinson's disease (PD) or dementia [odds ratio (OR), 4.59; 95% confidence interval (CI), 1.35–14.45; p = 0.011], smoking (OR, 3.24; 95% CI, 1.84–5.81; p < 0.001), physical activity (≥4 times/week) (OR, 0.23; 95% CI, 0.12–0.42; p < 0.001), exposure to pesticides (OR, 3.73; 95%CI, 2.08–6.65; p < 0.001), constipation (OR, 6.25; 95% CI, 3.58–11.07; p < 0.001), depression (OR, 3.66; 95% CI, 1.96–6.75; p < 0.001), and daytime somnolence (OR, 3.28; 95% CI, 1.65–6.38; p = 0.001). The nomogram displayed good discrimination, with original AUC of 0.885 (95% CI, 0.845–0.925), while the bias-corrected concordance index (C-index) with 1,000 bootstraps was 0.876. The calibration curve and DCA indicated the high accuracy and clinical usefulness of the nomogram. Conclusions This study proposed an effective nomogram with potential application in the individualized prediction for pRBD.
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Affiliation(s)
- Hong Lai
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xu-Ying Li
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Junya Hu
- Department of Neurobiology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Wei Li
- Department of Neurobiology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Fanxi Xu
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Junge Zhu
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Raoli He
- Department of Neurology, Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, China
| | - Huidan Weng
- Department of Neurology, Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, China
| | - Lina Chen
- Department of Neurology, Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, China
| | - Jiao Yu
- Department of Neurology, Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, China
| | - Xian Li
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yang Song
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xianling Wang
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Zhanjun Wang
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Wei Li
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Rong Kang
- The Xinjiekou Community Health Service Center, Beijing, China
| | - Yuling Li
- The Xinjiekou Community Health Service Center, Beijing, China
| | - Junjie Xu
- The Qinglonghu Community Health Service Center, Beijing, China
| | - Yuanfei Deng
- Department of Geriatric Disease, Peking University Shenzhen Hospital, Shenzhen, China
- Yuanfei Deng
| | - Qinyong Ye
- Department of Neurology, Fujian Key Laboratory of Molecular Neurology, Fujian Medical University Union Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, China
- Qinyong Ye
| | - Chaodong Wang
- Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
- *Correspondence: Chaodong Wang
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18
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Hong JK, Kim JM, Kim KW, Han JW, Ahn S, Yoon IY. Clinical manifestation of patients with isolated rapid eye movement sleep behavior disorder after modest-to-long disease duration. Sleep 2022; 45:6553187. [DOI: 10.1093/sleep/zsac071] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/25/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study Objectives
Patients with isolated rapid eye movement (REM) sleep behavior disorder (iRBD) are known to be at risk of neurodegenerative diseases but the time process of neurodegeneration remains unclear and its ethnic difference is rarely discussed. The objective of this study was to investigate the clinical manifestation of iRBD according to disease duration in a Korean cohort.
Methods
Patients who had been diagnosed with iRBD for at least 5 years were tracked and those currently remaining as iRBD were invited for motor, autonomic, olfactory, color discrimination, and cognitive tests. Cross-sectional comparison between patients with iRBD with modest disease duration (5–9.9 years) and long disease duration (≥10 years) was conducted.
Results
There were total of 198 patients with iRBD (135 males, 68.2%) tracked, whose average age at diagnosis was 65.9 years. Thirty-three had developed parkinsonism and 17 had developed dementia, resulting in a phenoconversion risk of 35.7% at 10 years. Hazard rate showed a gradually increasing trend over time, beginning from 2.1 conversions per year to 8.5 at 10 years. Patients with iRBD with a long disease duration (n = 19) had slightly higher motor scores than those with a modest duration (n = 82). However, they showed no difference in the frequency of motor abnormality or other clinical markers.
Conclusions
There is a possible racial or geographical difference of phenoconversion risk. The progression of neurodegeneration might be very subtle in that patients with iRBD with longer disease duration do not necessarily show higher frequency of neurodegeneration markers.
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Affiliation(s)
- Jung Kyung Hong
- Department of Psychiatry, Seoul National University Bundang Hospital , Seongnam , Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine , Seoul , Republic of Korea
| | - Jong-Min Kim
- Department of Neurology, Seoul National University Bundang Hospital , Seongnam , Republic of Korea
- Department of Neurology, Seoul National University College of Medicine , Seoul , Republic of Korea
| | - Ki-woong Kim
- Department of Psychiatry, Seoul National University Bundang Hospital , Seongnam , Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine , Seoul , Republic of Korea
| | - Ji Won Han
- Department of Psychiatry, Seoul National University Bundang Hospital , Seongnam , Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine , Seoul , Republic of Korea
| | - Soyeon Ahn
- Division of Statistics, Medical Research Collaborating Center, Seoul National University Bundang Hospital , Seongnam , Republic of Korea
| | - In-Young Yoon
- Department of Psychiatry, Seoul National University Bundang Hospital , Seongnam , Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine , Seoul , Republic of Korea
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19
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de Natale ER, Wilson H, Politis M. Predictors of RBD progression and conversion to synucleinopathies. Curr Neurol Neurosci Rep 2022; 22:93-104. [PMID: 35274191 PMCID: PMC9001233 DOI: 10.1007/s11910-022-01171-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/15/2021] [Indexed: 12/17/2022]
Abstract
Purpose of review Rapid eye movement (REM) sleep behaviour disorder (RBD) is considered the expression of the initial neurodegenerative process underlying synucleinopathies and constitutes the most important marker of their prodromal phase. This article reviews recent research from longitudinal research studies in isolated RBD (iRBD) aiming to describe the most promising progression biomarkers of iRBD and to delineate the current knowledge on the level of prediction of future outcome in iRBD patients at diagnosis. Recent findings Longitudinal studies revealed the potential value of a variety of biomarkers, including clinical markers of motor, autonomic, cognitive, and olfactory symptoms, neurophysiological markers such as REM sleep without atonia and electroencephalography, genetic and epigenetic markers, cerebrospinal fluid and serum markers, and neuroimaging markers to track the progression and predict phenoconversion. To-date the most promising neuroimaging biomarker in iRBD to aid the prediction of phenoconversion is striatal presynaptic striatal dopaminergic dysfunction. Summary There is a variety of potential biomarkers for monitoring disease progression and predicting iRBD conversion into synucleinopathies. A combined multimodal biomarker model could offer a more sensitive and specific tool. Further longitudinal studies are warranted to iRBD as a high-risk population for early neuroprotective interventions and disease-modifying therapies.
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Affiliation(s)
| | - Heather Wilson
- Neurodegeneration Imaging Group, University of Exeter Medical School, London, UK
| | - Marios Politis
- Neurodegeneration Imaging Group, University of Exeter Medical School, London, UK.
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20
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Luca A, Cicero CE, Giuliano L, Sgroi R, Vancheri E, Terravecchia C, Squillaci R, Rascunà C, Donzuso G, Mostile G, Sciacca G, Zappia M, Nicoletti A. Obsessive–compulsive personality disorder in rapid eye movement sleep behavior disorder. Sci Rep 2022; 12:2401. [PMID: 35165341 PMCID: PMC8844273 DOI: 10.1038/s41598-022-06424-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 01/17/2022] [Indexed: 11/23/2022] Open
Abstract
Rapid eye movement sleep behavior disorder (RBD) is a common prodromic non-motor symptom of Parkinson’s disease (PD). Only few studies have evaluated the personality of RBD patients with conflicting results. Aim of the study was to evaluate the frequency of Personality Disorders (PeDs)in RBD. RBD patients, PD patients and healthy controls (HC) were enrolled. All the enrolled subjects underwent a full neurological examination. Motor symptoms were evaluated with the UPDRS-Motor Examination. PeDs were assessed with the Structured Clinical Interview for DSM-IV Personality Disorders (SCID-II). Twenty-nine RBD patients [14 men (48.3%); mean age 55.6 ± 11.1], 30 PD patients [17 men (56.7%); mean age 65.7 ± 10.7] and 30 HC [12 men (40%); mean age 65.7 ± 5.4] were enrolled in the study. PD patients had a disease duration of 4.5 ± 4.6 and presented a mean UPDRS-ME score of 26.7 ± 9.4. The most frequent PeDs was the Obsessive–Compulsive one (OCPeD); OCPeD was significantly more frequent in RBD (55.2%) patients than HC (13.3%; p-value < 0.001). No significant differences were found comparing the frequency of OCPeD in RBD patients to that in PD. In the present study, the prevalence of OCPeD in RBD patients was close to that reported in PD patients. Our data could suggest the existence of a common disease-specific RBD-PD personality profile.
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21
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Puligheddu M, Figorilli M, Antelmi E, Arnaldi D, Casaglia E, d’Aloja E, Ferini-Strambi L, Ferri R, Gigli GL, Ingravallo F, Maestri M, Terzaghi M, Plazzi G. Predictive risk factors of phenoconversion in idiopathic REM sleep behavior disorder: the Italian study "FARPRESTO". Neurol Sci 2022; 43:6919-6928. [PMID: 36087148 PMCID: PMC9663351 DOI: 10.1007/s10072-022-06374-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 08/27/2022] [Indexed: 01/17/2023]
Abstract
Most patients with idiopathic REM sleep behavior disorder (iRBD) will develop an overt α-synucleinopathy over time, with a rate of phenoconversion of 73.5% after 12 years from diagnosis. Several markers of phenoconversion were identified; however, most studies investigated biomarkers separately, with retrospective study designs, in small cohorts or without standardized data collection methods. The risk FActoRs PREdictive of phenoconversion in idiopathic REM sleep behavior disorder: the Italian STudy (FARPRESTO) is a multicentric longitudinal retrospective and prospective study with a cohort of incident (prospective recruitment) and prevalent (retrospective recruitment) iRBD patients, whose primary aim is to stratify the risk of phenoconversion, through the systematic collection by means of electronic case report forms of different biomarkers. Secondary aims are to (1) describe the sociodemographic and clinical characteristics of patients with iRBD; (2) collect longitudinal data about the development of α-synucleinopathies; (3) monitor the impact of iRBD on quality of life and sleep quality; (4) assess the correlation between phenoconversion, cognitive performance, and loss of normal muscle atony during REM sleep; (5) identify RBD phenotypes through evaluating clinical, biological, neurophysiological, neuropsychological, and imaging biomarkers; and (6) validate vPSG criteria for RBD diagnosis. The FARPRESTO study will collect a large and harmonized dataset, assessing the role of different biomarkers providing a unique opportunity for a holistic, multidimensional, and personalized approach to iRBD, with several possible application and impact at different levels, from basic to clinical research, and from prevention to management. The FARPRESTO has been registered at clinicaltrials.gov (NCT05262543).
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Affiliation(s)
- Monica Puligheddu
- Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari , Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy
| | - Michela Figorilli
- Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari , Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy
| | - Elena Antelmi
- Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | - Dario Arnaldi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Largo Daneo 3, 16132 Genoa, Italy ,IRCCS Ospedale Policlinico S. Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Elisa Casaglia
- Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari , Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy
| | - Ernesto d’Aloja
- Department of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy
| | - Luigi Ferini-Strambi
- Vita-Salute San Raffaele University, Milan, Italy ,Department of Clinical Neurosciences, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Gian Luigi Gigli
- Dipartimento di Area Medica (DAME), Università di Udine e Clinica Neurologica e di Neuroriabilitazione, Azienda Sanitaria Universitaria Friuli Centrale, Ospedale “Santa Maria della Misericordia”, Udine, Italy
| | - Francesca Ingravallo
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Irnerio 49, 40126 Bologna, Italy
| | - Michelangelo Maestri
- Department of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy
| | - Michele Terzaghi
- IRCCS Mondino Foundation, Pavia, Italy ,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Giuseppe Plazzi
- IRCCS, Istituto delle Scienze Neurologiche Di Bologna, Bologna, Italy ,Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
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22
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Jiménez-Jiménez FJ, Alonso-Navarro H, García-Martín E, Agúndez JAG. Current Treatment Options for REM Sleep Behaviour Disorder. J Pers Med 2021; 11:1204. [PMID: 34834556 PMCID: PMC8624088 DOI: 10.3390/jpm11111204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/08/2021] [Accepted: 11/12/2021] [Indexed: 11/18/2022] Open
Abstract
The symptomatic treatment of REM sleep behaviour disorder (RBD) is very important to prevent sleep-related falls and/or injuries. Though clonazepam and melatonin are usually considered the first-line symptomatic therapy for RBD, their efficiency has not been proven by randomized clinical trials. The role of dopamine agonists in improving RBD symptoms is controversial, and rivastigmine, memantine, 5-hydroxytryptophan, and the herbal medicine yokukansan have shown some degree of efficacy in short- and medium-term randomized clinical trials involving a low number of patients. The development of potential preventive therapies against the phenoconversion of isolated RBD to synucleinopathies should be another important aim of RBD therapy. The design of long-term, multicentre, randomized, placebo-controlled clinical trials involving a large number of patients diagnosed with isolated RBD with polysomnographic confirmation, directed towards both symptomatic and preventive therapy for RBD, is warranted.
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Affiliation(s)
| | - Hortensia Alonso-Navarro
- Section of Neurology, Hospital Universitario del Sureste, Arganda del Rey, E-28500 Madrid, Spain;
| | - Elena García-Martín
- University Institute of Molecular Pathology Biomarkers, Universidad de Extremadura, ARADyAL Instituto de Salud Carlos III, E-10071 Cáceres, Spain; (E.G.-M.); (J.A.G.A.)
| | - José A. G. Agúndez
- University Institute of Molecular Pathology Biomarkers, Universidad de Extremadura, ARADyAL Instituto de Salud Carlos III, E-10071 Cáceres, Spain; (E.G.-M.); (J.A.G.A.)
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23
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Jiménez-Jiménez FJ, Alonso-Navarro H, García-Martín E, Agúndez JAG. Neurochemical Features of Rem Sleep Behaviour Disorder. J Pers Med 2021; 11:jpm11090880. [PMID: 34575657 PMCID: PMC8468296 DOI: 10.3390/jpm11090880] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 08/30/2021] [Accepted: 08/30/2021] [Indexed: 12/13/2022] Open
Abstract
Dopaminergic deficiency, shown by many studies using functional neuroimaging with Single Photon Emission Computerized Tomography (SPECT) and Positron Emission Tomography (PET), is the most consistent neurochemical feature of rapid eye movement (REM) sleep behaviour disorder (RBD) and, together with transcranial ultrasonography, and determination of alpha-synuclein in certain tissues, should be considered as a reliable marker for the phenoconversion of idiopathic RBD (iRBD) to a synucleopathy (Parkinson’s disease –PD- or Lewy body dementia -LBD). The possible role in the pathogenesis of RBD of other neurotransmitters such as noradrenaline, acetylcholine, and excitatory and inhibitory neurotransmitters; hormones such as melatonin, and proinflammatory factors have also been suggested by recent reports. In general, brain perfusion and brain glucose metabolism studies have shown patterns resembling partially those of PD and LBD. Finally, the results of structural and functional MRI suggest the presence of structural changes in deep gray matter nuclei, cortical gray matter atrophy, and alterations in the functional connectivity within the basal ganglia, the cortico-striatal, and the cortico-cortical networks, but they should be considered as preliminary.
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Affiliation(s)
- Félix Javier Jiménez-Jiménez
- Section of Neurology, Hospital Universitario del Sureste, Arganda del Rey, C/Marroquina 14, 3 B, E28030 Madrid, Spain;
- Correspondence: or ; Tel.: +34-636968395; Fax: +34-913280704
| | - Hortensia Alonso-Navarro
- Section of Neurology, Hospital Universitario del Sureste, Arganda del Rey, C/Marroquina 14, 3 B, E28030 Madrid, Spain;
| | - Elena García-Martín
- UNEx, ARADyAL, Instituto de Salud Carlos III, University Institute of Molecular Pathology, E10071 Cáceres, Spain; (E.G.-M.); (J.A.G.A.)
| | - José A. G. Agúndez
- UNEx, ARADyAL, Instituto de Salud Carlos III, University Institute of Molecular Pathology, E10071 Cáceres, Spain; (E.G.-M.); (J.A.G.A.)
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24
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Cicero CE, Giuliano L, Sgroi R, Squillaci R, Terravecchia C, Vancheri E, Todaro V, Reitano P, Rizzo S, Luca A, Mostile G, Paradisi V, Zappia M, Nicoletti A. Prevalence of isolated RBD in the city of Catania, Italy: a population-based study. J Clin Sleep Med 2021; 17:2241-2248. [PMID: 34027887 DOI: 10.5664/jcsm.9416] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES Few studies have analyzed the prevalence of isolated REM sleep behavior disorder (RBD) giving different estimates. Aim of the study was to estimate the prevalence of isolated RBD in the city of Catania. METHODS A three-stage design was adopted. Participants attending the cabinets of General Practitioners in the city of Catania were screened with the RBD1Q questionnaire (Stage I). Positive participants were interviewed by phone and if suspected of RBD, were invited for clinical examination by a movement disorders specialist and a sleep specialist (Stage II). After the clinical examination, patients diagnosed as probable isolated RBD (pRBD) were invited to undergo a video polysomnography (VPSG) (Stage III) to confirm the diagnosis of definite RBD (dRBD). RESULTS A total of 1,524 participants have been screened. Of these, 220 (14.4%) screened positive. One-hundred-forty-three of them were further screened by phone, of whom 75 were suspected RBD. Thirty-six patients were diagnosed as pRBD giving a prevalence of 2.36% (95%CI 1.71-3.25). Twelve pRBD agreed to a VPSG and, of these, four were diagnosed as dRBD giving a prevalence of 0.26% (95%CI 0.07-0.67). Prevalence adjusted by non-participants was 3.48% (95%CI 2.67-4.52) and 1.18% (95%CI 0.45-1.37) for pRBD and dRBD respectively. CONCLUSIONS Prevalence of both pRBD and dRBD in Italy is comparable to the estimates reported in literature, confirming that isolated RBD has a low prevalence in the general population.
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Affiliation(s)
- Calogero Edoardo Cicero
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Loretta Giuliano
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Riccardo Sgroi
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Raffaele Squillaci
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Claudio Terravecchia
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Edoardo Vancheri
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Valeria Todaro
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Paola Reitano
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Sofia Rizzo
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Antonina Luca
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Giovanni Mostile
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy.,Oasi Institute for Research on Mental Retardation and Brain Aging (IRCCS), Troina, Italy
| | | | - Mario Zappia
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Alessandra Nicoletti
- Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Italy
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