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Iranzo A, Cochen De Cock V, Fantini ML, Pérez-Carbonell L, Trotti LM. Sleep and sleep disorders in people with Parkinson's disease. Lancet Neurol 2024:S1474-4422(24)00170-4. [PMID: 38942041 DOI: 10.1016/s1474-4422(24)00170-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/02/2024] [Accepted: 04/16/2024] [Indexed: 06/30/2024]
Abstract
Sleep disorders are common in people with Parkinson's disease. These disorders, which increase in frequency throughout the course of the neurodegenerative disease and impair quality of life, include insomnia, excessive daytime sleepiness, circadian disorders, obstructive sleep apnoea, restless legs syndrome, and rapid eye movement (REM) sleep behaviour disorder. The causes of these sleep disorders are complex and multifactorial, including the degeneration of the neural structures that modulate sleep, the detrimental effect of some medications on sleep, the parkinsonian symptoms that interfere with mobility and comfort in bed, and comorbidities that disrupt sleep quality and quantity. The clinical evaluation of sleep disorders include both subjective (eg, questionnaires or diaries) and objective (eg, actigraphy or video polysomnography) assessments. The management of patients with Parkinson's disease and a sleep disorder is challenging and should be individualised. Treatment can include education aiming at changes in behaviour (ie, sleep hygiene), cognitive behavioural therapy, continuous dopaminergic stimulation at night, and specific medications. REM sleep behaviour disorder can occur several years before the onset of parkinsonism, suggesting that the implementation of trials of neuroprotective therapies should focus on people with this sleep disorder.
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Affiliation(s)
- Alex Iranzo
- Sleep Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Universitat de Barcelona, Barcelona, Spain; IDIBAPS, Universitat de Barcelona, Barcelona, Spain; CIBERNED, Universitat de Barcelona, Barcelona, Spain.
| | - Valerie Cochen De Cock
- Sleep and Neurology Department, Beau Soleil Clinic, Montpellier, France; EuroMov Digital Health in Motion, University of Montpellier, IMT Mines Ales, Montpellier, France
| | - María Livia Fantini
- Neurophysiology Unit, Neurology Department, Université Clermont Auvergne, CNRS, Institut Pascal, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Laura Pérez-Carbonell
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, King's College London, London, UK
| | - Lynn Marie Trotti
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Emory Sleep Center, Emory University School of Medicine, Atlanta, GA, USA
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Pérez-Carbonell L, Iranzo A. REM sleep and neurodegeneration. J Sleep Res 2024:e14263. [PMID: 38867555 DOI: 10.1111/jsr.14263] [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: 03/17/2024] [Revised: 05/20/2024] [Accepted: 05/27/2024] [Indexed: 06/14/2024]
Abstract
Several brainstem, subcortical and cortical areas are involved in the generation of rapid eye movement (REM) sleep. The alteration of these structures as a result of a neurodegenerative process may therefore lead to REM sleep anomalies. REM sleep behaviour disorder is associated with nightmares, dream-enacting behaviours and increased electromyographic activity in REM sleep. Its isolated form is a harbinger of synucleinopathies such as Parkinson's disease or dementia with Lewy bodies, and neuroprotective interventions are advocated. This link might also be present in patients taking antidepressants, with post-traumatic stress disorder, or with a history of repeated traumatic head injury. REM sleep likely contributes to normal memory processes. Its alteration has also been proposed to be part of the neuropathological changes occurring in Alzheimer's disease.
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Affiliation(s)
- Laura Pérez-Carbonell
- Sleep Disorders Centre, Guy's and St Thomas' NHS Foundation Trust, King's College London, London, UK
| | - Alex Iranzo
- Neurology Service, Sleep Disorders Centre, Hospital Clínic de Barcelona, IDIBAPS, CIBERNED, University of Barcelona, Barcelona, Spain
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Bhidayasiri R. Old problems, new solutions: harnessing technology and innovation in Parkinson's disease-evidence and experiences from Thailand. J Neural Transm (Vienna) 2024; 131:721-738. [PMID: 38189972 DOI: 10.1007/s00702-023-02727-1] [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: 11/06/2023] [Accepted: 12/09/2023] [Indexed: 01/09/2024]
Abstract
The prevalence of Parkinson's disease (PD) is increasing rapidly worldwide, but there are notable inequalities in its distribution and in the availability of healthcare resources across different world regions. Low- and middle-income countries (LMICs), including Thailand, bear the highest burden of PD so there is an urgent need to develop effective solutions that can overcome the many regional challenges associated with delivering high-quality, and equitable care to a diverse population with limited resources. This article describes the evolution of healthcare delivery for PD in Thailand, as a case example of a LMIC. The discussions reflect the author's presentation at the Yoshikuni Mizuno Lectureship Award given during the 8th Asian and Oceanian Parkinson's Disease and Movement Disorders Congress in March 2023 for which he was the 2023 recipient. The specific challenges faced in Thailand are reviewed along with new solutions that have been implemented to improve the knowledge and skills of healthcare professionals nationally, the delivery of care, and the outcomes for PD patients. Technology and innovation have played an important role in this process with many new tools and devices being implemented in clinical practice. Without any realistic prospect of a curative therapy in the near future that could halt the current PD pandemic, it will be necessary to focus on preventative lifestyle strategies that can help reduce the risk of developing PD such as good nutrition (EAT), exercise (MOVE), good sleep hygiene (SLEEP), and minimizing environmental risks (PROTECT), which should be initiated and continued (REPEAT) as early as possible.
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Affiliation(s)
- Roongroj Bhidayasiri
- Chulalongkorn Centre of Excellence for Parkinson's Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, 1873 Rama 4 Road, Bangkok, 10330, Thailand.
- The Academy of Science, The Royal Society of Thailand, Bangkok, 10330, Thailand.
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Perinova P, Nepozitek J, Dostalova S, Bezdicek O, Ruzicka E, Dusek P, Sonka K. Comparison of quantitative REM without atonia parameters in isolated REM sleep behavior disorder and early untreated Parkinson's disease. Sleep Med 2024; 114:290-296. [PMID: 38295508 DOI: 10.1016/j.sleep.2024.01.003] [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: 10/16/2022] [Revised: 01/01/2024] [Accepted: 01/02/2024] [Indexed: 02/02/2024]
Abstract
OBJECTIVES To analyze REM sleep without atonia (RWA) metrics in patients with isolated REM sleep behavior disorder (iRBD), Parkinson's disease (PD) and healthy subjects and compare them in terms of degree of presumed brainstem damage. METHODS Forty-nine iRBD patients, 62 PD patients and 38 healthy controls were included into the analysis. Detailed polysomnographic and clinical data including motor, olfactory, autonomic, and cognitive assessment were obtained in all participants and subsequently compared within groups without RBD (i.e., healthy controls, PD-RBD-) and with RBD (i.e., iRBD, PD-RBD+). SINBAR criteria were used to score RWA. RESULTS Twenty-one PD patients (33.8 %) had RBD. When comparing PD-RBD-patients and controls, RWA tonic (p = 0.001) and RWA mixed (p = 0.03) were higher in PD-RBD-group. PD-RBD-patients had worse olfactory function than controls (p < 0.001); no significant difference in autonomic or cognitive function was registered. There were no significant differences in RWA parameters when comparing iRBD and PD-RBD + groups. iRBD patients had better olfactory function than PD-RBD+ (p = 0.006); no significant difference in autonomic or cognitive function was registered. PD-RBD + had worse autonomic (p = 0.006) and olfactory (p = 0.001) but not motor and cognitive function compared to PD-RBD-. CONCLUSIONS Untreated de-novo PD patients without RBD have increased RWA metrics compared to healthy subjects indicating subclinical degeneration of brainstem nuclei responsible for RWA. iRBD patients do not differ in RWA metrics from untreated de-novo PD patients with premotor RBD suggesting a similar level of brainstem degeneration caudal to substantia nigra in both groups. Groups with RBD are associated with autonomic dysfunction.
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Affiliation(s)
- Pavla Perinova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
| | - Jiri Nepozitek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Simona Dostalova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Ondrej Bezdicek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Evzen Ruzicka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Petr Dusek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Karel Sonka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
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Dan XJ, Wang YW, Sun JY, Gao LL, Chen X, Yang XY, Xu EH, Ma JH, Yan CG, Wu T, Chan P. Reorganization of intrinsic functional connectivity in early-stage Parkinson's disease patients with probable REM sleep behavior disorder. NPJ Parkinsons Dis 2024; 10:5. [PMID: 38172178 PMCID: PMC10764752 DOI: 10.1038/s41531-023-00617-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 12/07/2023] [Indexed: 01/05/2024] Open
Abstract
REM sleep behavior disorder (RBD) symptoms in Parkinson's disease (PD) suggest both a clinically and pathologically malignant subtype. However, whether RBD symptoms are associated with alterations in the organization of whole-brain intrinsic functional networks in PD, especially at early disease stages, remains unclear. Here we use resting-state functional MRI, coupled with graph-theoretical approaches and network-based statistics analyses, and validated with large-scale network analyses, to characterize functional brain networks and their relationship with clinical measures in early PD patients with probable RBD (PD+pRBD), early PD patients without probable RBD (PD-pRBD) and healthy controls. Thirty-six PD+pRBD, 57 PD-pRBD and 71 healthy controls were included in the final analyses. The PD+pRBD group demonstrated decreased global efficiency (t = -2.036, P = 0.0432) compared to PD-pRBD, and decreased network efficiency, as well as comprehensively disrupted nodal efficiency and whole-brain networks (all eight networks, but especially in the sensorimotor, default mode and visual networks) compared to healthy controls. The PD-pRBD group showed decreased nodal degree in right ventral frontal cortex and more affected edges in the frontoparietal and ventral attention networks compared to healthy controls. Furthermore, the assortativity coefficient was negatively correlated with Montreal cognitive assessment scores in the PD+pRBD group (r = -0.365, P = 0.026, d = 0.154). The observation of altered whole-brain functional networks and its correlation with cognitive function in PD+pRBD suggest reorganization of the intrinsic functional connectivity to maintain the brain function in the early stage of the disease. Future longitudinal studies following these alterations along disease progression are warranted.
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Affiliation(s)
- Xiao-Juan Dan
- Department of Neurology, Xuanwu Hospital of Capital Medical University, 100053, Beijing, China
- Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Key Laboratory on Parkinson's Disease of Beijing, 100053, Beijing, China
| | - Yu-Wei Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, 100101, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Jun-Yan Sun
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, 100070, Beijing, China
| | - Lin-Lin Gao
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, 100053, Beijing, China
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, 100101, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Xue-Ying Yang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, 100101, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Er-He Xu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, 100053, Beijing, China
| | - Jing-Hong Ma
- Department of Neurology, Xuanwu Hospital of Capital Medical University, 100053, Beijing, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, 100101, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, 100101, Beijing, China
| | - Tao Wu
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, 100070, Beijing, China.
| | - Piu Chan
- Department of Neurology, Xuanwu Hospital of Capital Medical University, 100053, Beijing, China.
- Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Key Laboratory on Parkinson's Disease of Beijing, 100053, Beijing, China.
- National Clinical Research Center for Geriatric Disorders, 100053, Beijing, China.
- Beijing Institute for Brain Disorders Parkinson's Disease Center, Advanced Innovation Center for Human Brain Protection, Capital Medical University, 100069, Beijing, China.
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Kobayashi R, Morioka D, Kawakatsu S, Sakamoto K, Suzuki A. Application of Suggestive Biomarkers in Dementia With Lewy Bodies With Masking of Typical Clinical Symptoms by Alzheimer Disease-type Pathology. Alzheimer Dis Assoc Disord 2024; 38:95-97. [PMID: 38227857 DOI: 10.1097/wad.0000000000000597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 12/15/2023] [Indexed: 01/18/2024]
Abstract
Dementia with Lewy bodies (DLB) is strongly associated with Alzheimer disease (AD)-type pathology and tends to mask the core clinical features of DLB. Therefore, there may be cases of undiagnosed DLB without suggestive biomarkers of DLB. We describe the case of a 63-year-old woman who was initially diagnosed as having AD and later diagnosed with DLB based on suggestive biomarkers of DLB. In this case, transient sleep talking with physical movements for several days led to the assessment of suggestive biomarkers for DLB in the absence of the core clinical features of DLB. For clinicians, diagnosing DLB in patients with AD-type pathology is challenging. However, the application of biomarkers suggestive of DLB to all patients with dementia is not realistic. To overcome the difficulties of clinical diagnosis of DLB, further research is needed regarding strategies for the application of suggestive biomarkers for DLB to appropriately diagnose DLB.
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Affiliation(s)
- Ryota Kobayashi
- Department of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan
| | - Daichi Morioka
- Department of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan
| | - Shinobu Kawakatsu
- Department of Neuropsychiatry, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu, Japan
| | - Kazutaka Sakamoto
- Department of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan
| | - Akihito Suzuki
- Department of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan
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Giri S, Mehta R, Mallick BN. REM Sleep Loss-Induced Elevated Noradrenaline Plays a Significant Role in Neurodegeneration: Synthesis of Findings to Propose a Possible Mechanism of Action from Molecule to Patho-Physiological Changes. Brain Sci 2023; 14:8. [PMID: 38275513 PMCID: PMC10813190 DOI: 10.3390/brainsci14010008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 12/17/2023] [Indexed: 01/27/2024] Open
Abstract
Wear and tear are natural processes for all living and non-living bodies. All living cells and organisms are metabolically active to generate energy for their routine needs, including for survival. In the process, the cells are exposed to oxidative load, metabolic waste, and bye-products. In an organ, the living non-neuronal cells divide and replenish the lost or damaged cells; however, as neuronal cells normally do not divide, they need special feature(s) for their protection, survival, and sustenance for normal functioning of the brain. The neurons grow and branch as axons and dendrites, which contribute to the formation of synapses with near and far neurons, the basic scaffold for complex brain functions. It is necessary that one or more basic and instinct physiological process(es) (functions) is likely to contribute to the protection of the neurons and maintenance of the synapses. It is known that rapid eye movement sleep (REMS), an autonomic instinct behavior, maintains brain functioning including learning and memory and its loss causes dysfunctions. In this review we correlate the role of REMS and its loss in synaptogenesis, memory consolidation, and neuronal degeneration. Further, as a mechanism of action, we will show that REMS maintains noradrenaline (NA) at a low level, which protects neurons from oxidative damage and maintains neuronal growth and synaptogenesis. However, upon REMS loss, the level of NA increases, which withdraws protection and causes apoptosis and loss of synapses and neurons. We propose that the latter possibly causes REMS loss associated neurodegenerative diseases and associated symptoms.
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Affiliation(s)
- Shatrunjai Giri
- Department of Biosciences, Manipal University Jaipur, Jaipur 303007, India;
| | - Rachna Mehta
- Amity Institute of Neuropsychology & Neurosciences, Amity University, Noida 201301, India;
| | - Birendra Nath Mallick
- Amity Institute of Neuropsychology & Neurosciences, Amity University, Noida 201301, India;
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Samizadeh MA, Fallah H, Toomarisahzabi M, Rezaei F, Rahimi-Danesh M, Akhondzadeh S, Vaseghi S. Parkinson's Disease: A Narrative Review on Potential Molecular Mechanisms of Sleep Disturbances, REM Behavior Disorder, and Melatonin. Brain Sci 2023; 13:914. [PMID: 37371392 DOI: 10.3390/brainsci13060914] [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: 05/08/2023] [Revised: 06/01/2023] [Accepted: 06/03/2023] [Indexed: 06/29/2023] Open
Abstract
Parkinson's disease (PD) is one of the most common neurodegenerative diseases. There is a wide range of sleep disturbances in patients with PD, such as insomnia and rapid eye movement (REM) sleep behavior disorder (or REM behavior disorder (RBD)). RBD is a sleep disorder in which a patient acts out his/her dreams and includes abnormal behaviors during the REM phase of sleep. On the other hand, melatonin is the principal hormone that is secreted by the pineal gland and significantly modulates the circadian clock and mood state. Furthermore, melatonin has a wide range of regulatory effects and is a safe treatment for sleep disturbances such as RBD in PD. However, the molecular mechanisms of melatonin involved in the treatment or control of RBD are unknown. In this study, we reviewed the pathophysiology of PD and sleep disturbances, including RBD. We also discussed the potential molecular mechanisms of melatonin involved in its therapeutic effect. It was concluded that disruption of crucial neurotransmitter systems that mediate sleep, including norepinephrine, serotonin, dopamine, and GABA, and important neurotransmitter systems that mediate the REM phase, including acetylcholine, serotonin, and norepinephrine, are significantly involved in the induction of sleep disturbances, including RBD in PD. It was also concluded that accumulation of α-synuclein in sleep-related brain regions can disrupt sleep processes and the circadian rhythm. We suggested that new treatment strategies for sleep disturbances in PD may focus on the modulation of α-synuclein aggregation or expression.
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Affiliation(s)
- Mohammad-Ali Samizadeh
- Cognitive Neuroscience Lab, Medicinal Plants Research Center, Institute of Medicinal Plants, ACECR, Karaj 3365166571, Iran
| | - Hamed Fallah
- Department of Basic Sciences, Faculty of Veterinary Medicine, University of Tehran, Tehran 1417935840, Iran
| | - Mohadeseh Toomarisahzabi
- Cognitive Neuroscience Lab, Medicinal Plants Research Center, Institute of Medicinal Plants, ACECR, Karaj 3365166571, Iran
| | - Fereshteh Rezaei
- Cognitive Neuroscience Lab, Medicinal Plants Research Center, Institute of Medicinal Plants, ACECR, Karaj 3365166571, Iran
| | - Mehrsa Rahimi-Danesh
- Cognitive Neuroscience Lab, Medicinal Plants Research Center, Institute of Medicinal Plants, ACECR, Karaj 3365166571, Iran
| | - Shahin Akhondzadeh
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran 13337159140, Iran
| | - Salar Vaseghi
- Cognitive Neuroscience Lab, Medicinal Plants Research Center, Institute of Medicinal Plants, ACECR, Karaj 3365166571, Iran
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Alfalahi H, Dias SB, Khandoker AH, Chaudhuri KR, Hadjileontiadis LJ. A scoping review of neurodegenerative manifestations in explainable digital phenotyping. NPJ Parkinsons Dis 2023; 9:49. [PMID: 36997573 PMCID: PMC10063633 DOI: 10.1038/s41531-023-00494-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 03/16/2023] [Indexed: 04/03/2023] Open
Abstract
Neurologists nowadays no longer view neurodegenerative diseases, like Parkinson's and Alzheimer's disease, as single entities, but rather as a spectrum of multifaceted symptoms with heterogeneous progression courses and treatment responses. The definition of the naturalistic behavioral repertoire of early neurodegenerative manifestations is still elusive, impeding early diagnosis and intervention. Central to this view is the role of artificial intelligence (AI) in reinforcing the depth of phenotypic information, thereby supporting the paradigm shift to precision medicine and personalized healthcare. This suggestion advocates the definition of disease subtypes in a new biomarker-supported nosology framework, yet without empirical consensus on standardization, reliability and interpretability. Although the well-defined neurodegenerative processes, linked to a triad of motor and non-motor preclinical symptoms, are detected by clinical intuition, we undertake an unbiased data-driven approach to identify different patterns of neuropathology distribution based on the naturalistic behavior data inherent to populations in-the-wild. We appraise the role of remote technologies in the definition of digital phenotyping specific to brain-, body- and social-level neurodegenerative subtle symptoms, emphasizing inter- and intra-patient variability powered by deep learning. As such, the present review endeavors to exploit digital technologies and AI to create disease-specific phenotypic explanations, facilitating the understanding of neurodegenerative diseases as "bio-psycho-social" conditions. Not only does this translational effort within explainable digital phenotyping foster the understanding of disease-induced traits, but it also enhances diagnostic and, eventually, treatment personalization.
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Affiliation(s)
- Hessa Alfalahi
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
- Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
| | - Sofia B Dias
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- CIPER, Faculdade de Motricidade Humana, University of Lisbon, Lisbon, Portugal
| | - Ahsan H Khandoker
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Kallol Ray Chaudhuri
- Parkinson Foundation, International Center of Excellence, King's College London, Denmark Hills, London, UK
- Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Leontios J Hadjileontiadis
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Koçak AT, Arslan S. Validity and Reliability of the Turkish Version of the Parkinson Disease Sleep Scale-2. JOURNAL OF TURKISH SLEEP MEDICINE 2023. [DOI: 10.4274/jtsm.galenos.2022.29200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
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Chau SWH, Liu Y, Zhang J, Leung E, Chen S, Ho CL, Chan JWY, Tsang CC, Li SX, Huang B, Lam SP, Mok VC, Wing YK. Clinical and neuroimaging markers of neurodegeneration in first-degree relatives of patients with REM sleep behavior disorder with and without isolated rapid eye movement sleep without atonia: A case-control clinical and dopamine PET study. Parkinsonism Relat Disord 2023; 107:105271. [PMID: 36634468 DOI: 10.1016/j.parkreldis.2022.105271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 12/02/2022] [Accepted: 12/24/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVES The current study aimed to examine the neurodegenerative implication of isolated REM sleep without atonia (RSWA) among first-degree relatives of patients with REM sleep behaviour disorder (RBD). METHODS This cross-sectional case-control study recruited three groups of subjects: First-degree relatives of RBD patients with isolated RSWA (n = 17), first-degree relatives of RBD patients without isolated RSWA (n = 18), and normal controls who did not have any RWSA and family history of RBD (n = 15). Prodromal Parkinson's Disease likelihood ratio by the updated MDS Research Criteria and striatal dopaminergic transmission function of the subjects as assessed by triple-tracer (18F-DOPA, 11C-Raclopride, and 18F-FDG) PET/CT scan were used as proxy markers of neurodegeneration. RESULTS In contrary to our hypothesis, the three groups did not differ in their pre- or post-striatal dopaminergic transmission function, and their Prodromal Parkinson's Disease likelihood ratio. However, they differed significantly in their frequency of a having first-degree relatives with Parkinson's disease or dementia of Lewy body (first-degree relativess with RSWA vs first degree relatives without RSWA vs normal controls = 58.8% vs 22.2% vs 0%, p = 0.001). CONCLUSION FDRs of RBD patients with isolated RSWA did not have increased neurodegenerative markers compared to FDRs of RBD patients without isolated RSWA and normal control, despite an paradoxical increase in frequency of Parkinson's disease or dementia of Lewy body among their family compared to FDRs of RBD patients without isolated RSWA. Further longitudinal follow-up study will be needed to ascertain their long-term prognosis.
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Affiliation(s)
- Steven Wai Ho Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Jihui Zhang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Eric Leung
- Nuclear Medicine & PET, Hong Kong Sanatorium & Hospital, Hong Kong, China
| | - Sirong Chen
- Nuclear Medicine & PET, Hong Kong Sanatorium & Hospital, Hong Kong, China
| | - Chi Lai Ho
- Nuclear Medicine & PET, Hong Kong Sanatorium & Hospital, Hong Kong, China
| | - Joey Wing Yan Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Chi Ching Tsang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Shirley X Li
- Department of Psychology, University of Hong Kong, Hong Kong, China; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Bei Huang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Siu Ping Lam
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Vincent Ct Mok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
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12
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Huang B, Zhang J, Wang J, Chau SWH, Chan JWY, Yu MWM, Li SX, Zhou L, Mok V, Wing YK, Liu Y. Isolated dream‐enactment behaviours as a prodromal hallmark of rapid eye movement sleep behaviour disorder. J Sleep Res 2022; 32:e13791. [PMID: 36410741 DOI: 10.1111/jsr.13791] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 10/19/2022] [Accepted: 11/03/2022] [Indexed: 11/23/2022]
Abstract
Recurrent dream-enactment behaviours (DEB) and rapid eye movement (REM) sleep without atonia (RSWA) are two diagnostic hallmarks of REM sleep behaviour disorder (RBD), a specific prodrome of α-synucleinopathy. Whilst isolated RSWA (without DEB) was suggested as a prodrome of RBD, the implication of 'isolated' recurrent DEB remains under-investigated. In this cross-sectional study, we sought to investigate neurodegenerative markers amongst the first-degree relatives (FDRs, aged >40 years) of patients with RBD who underwent clinical assessment for DEB, neurodegenerative markers, and video-polysomnography assessment. Isolated recurrent DEB was defined as: (i) three or more episodes of DEB, (ii) had a DEB episode in the past 1 year, and (iii) subthreshold RSWA. We identified 29 FDRs (mean [SD] age 53.4 [8.3] years, 55.2% male) with isolated recurrent DEB and 98 age and sex-matched FDRs as controls. Isolated DEB was associated with nightmare (27.6% versus 11.2%, p = 0.02), and the DEB group had a higher rate of current smoking (27.6% versus 3.1%, p = 0.006), type 2 diabetes mellitus (24.1% versus 10.2%, p = 0.003), anxiety disorder (24.1% versus 11.2%, p = 0.02), and constipation (hard lump of stool, 31.0% versus 7.1%, p < 0.001) than the control group. The present findings revealed that family relatives of patients with RBD with isolated recurrent DEB have increased risk of RBD and neurodegenerative features, which adds to the emerging data that isolated DEB is a prodromal feature of RBD and α-synucleinopathy neurodegeneration.
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Affiliation(s)
- Bei Huang
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Jihui Zhang
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Center for Sleep and Circadian Medicine The Affiliated Brain Hospital of Guangzhou Medical University Guangzhou China
| | - Jing Wang
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Center for Sleep and Circadian Medicine The Affiliated Brain Hospital of Guangzhou Medical University Guangzhou China
| | - Steven Wai Ho Chau
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Joey Wing Yan Chan
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Mandy Wai Man Yu
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Shirley Xin Li
- Department of Psychology The University of Hong Kong Hong Kong China
- The State Key Laboratory of Brain and Cognitive Sciences The University of Hong Kong Hong Kong China
| | - Li Zhou
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Vincent Mok
- Department of Medicine and Therapeutics, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Yun Kwok Wing
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
| | - Yaping Liu
- Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine The Chinese University of Hong Kong Hong Kong China
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13
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Nowak JM, Kopczyński M, Friedman A, Koziorowski D, Figura M. Microbiota Dysbiosis in Parkinson Disease—In Search of a Biomarker. Biomedicines 2022; 10:biomedicines10092057. [PMID: 36140158 PMCID: PMC9495927 DOI: 10.3390/biomedicines10092057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/05/2022] [Accepted: 08/18/2022] [Indexed: 12/17/2022] Open
Abstract
Numerous studies have highlighted the role of the gastrointestinal system in Parkinson disease pathogenesis. It is likely triggered by proinflammatory markers produced by specific gut bacteria. This review’s aim is to identify gut bacterial biomarkers of Parkinson disease. A comprehensive search for original research papers on gut microbiota composition in Parkinson disease was conducted using the PubMed, Embase, and Scopus databases. Research papers on intestinal permeability, nasal and oral microbiomes, and interventional studies were excluded. The yielded results were categorized into four groups: Parkinson disease vs. healthy controls; disease severity; non-motor symptoms; and clinical phenotypes. This review was conducted in accordance with the PRISMA 2020 statement. A total of 51 studies met the eligibility criteria. In the Parkinson disease vs. healthy controls group, 22 bacteria were deemed potentially important. In the disease severity category, two bacteria were distinguished. In the non-motor symptoms and clinical phenotypes categories, no distinct pathogen was identified. The studies in this review report bacteria of varying taxonomic levels, which prevents the authors from reaching a clear conclusion. Future research should follow a unified methodology in order to identify potential biomarkers for Parkinson disease.
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Affiliation(s)
- Julia Maya Nowak
- Student Scientific Group, Department of Neurology, Faculty of Health Sciences, Medical University of Warsaw, 02-091 Warsaw, Poland
| | - Mateusz Kopczyński
- Student Scientific Group, Department of Neurology, Faculty of Health Sciences, Medical University of Warsaw, 02-091 Warsaw, Poland
| | - Andrzej Friedman
- Department of Neurology, Faculty of Health Sciences, 02-091 Warsaw, Poland
| | | | - Monika Figura
- Department of Neurology, Faculty of Health Sciences, 02-091 Warsaw, Poland
- Correspondence:
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14
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Cao R, Ma R, Wang K, Hu P. Association Between Dopaminergic Medications and the Evolution of REM Sleep Behavior Disorder in Parkinson's Disease. Front Neurol 2022; 13:880583. [PMID: 35756917 PMCID: PMC9226298 DOI: 10.3389/fneur.2022.880583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/09/2022] [Indexed: 11/16/2022] Open
Abstract
REM sleep behavior disorder (RBD) is closely associated with Parkinson's disease (PD), however, the influence of dopaminergic replacement therapy (DRT) on the clinical course of RBD in PD remains less understood. The objective of our study is to investigate how DRTs modify the evolution of RBD in a longitudinal cohort study of initially de novo PD patients. Four hundred and five drug-naive patients with early-stage PD were included. RBD symptoms were assessed using the 10-item RBD Screening Questionnaire (RBDSQ) at baseline and during the 5-year follow-up. A generalized estimating equation was used to examine predictors of the evolution of RBD symptoms. For patients without baseline pRBD, patients on levodopa treatment showed a greater increase in RBDSQ scores than those not on levodopa treatment, and the increase in RBDSQ scores was significantly correlated with the levodopa-LEDD. Moreover, the changes in RBDSQ scores at a given post-baseline visit were significantly associated with the use of levodopa (OR = 1.875, p = 0.008) and the combined use of levodopa and DA (OR = 2.188, p = 0.012), as well as the levodopa-LEDD (OR = 1.001, p = 0.005) at that visit. The use of DA alone or the DA-LEDD was not a significant predictor of changes in RBDSQ scores. Similarly, a conversion from pRBD negative to pRBD positive was significantly associated with levodopa-LEDD (OR = 1.001, p = 0.014) but not DA-LEDD. Together, these finding implicated that the use of levodopa may act as a contributing factor to the increasing prevalence of RBD after the onset of PD, suggesting different mechanisms underlying prodromal RBD and late-onset RBD.
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Affiliation(s)
- Ruihua Cao
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Ruolin Ma
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Panpan Hu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China
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15
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Liu Y, Zhang J, Chau SW, Man Yu MW, Chan NY, Chan JW, Li SX, Huang B, Wang J, Feng H, Zhou L, Mok V, Wing YK. Evolution of Prodromal REM Sleep Behavior Disorder to Neurodegeneration: A Retrospective, Longitudinal Case-control Study. Neurology 2022; 99:e627-e637. [PMID: 35550550 DOI: 10.1212/wnl.0000000000200707] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 03/24/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Individuals with a history of recurrent dream-enactment behaviors, but with subthreshold REM sleep without atonia levels for REM sleep behavior disorder (RBD) diagnosis, are currently classified to have prodromal RBD (pRBD). However, the REM sleep elevated EMG diagnostic cut-off, progression trajectory, and long-term neurodegenerative outcome of pRBD are not well understood. This study aimed to delineate the evolution of REM sleep EMG levels, determine the EMG cut-off score for diagnosing pRBD, and examine the risk for neurodegenerative diseases of pRBD. METHODS This retrospective longitudinal case-control study recruited pRBD patients and age, sex, and follow-up duration matched controls who were free of neurodegenerative disease at baseline in the Sleep Assessment Unit, the Chinese University of Hong Kong from 1997 to 2018. Patients and controls underwent clinical and video-polysomnography assessments at baseline and follow-up(s). REM sleep EMG activity level on mentalis and anterior tibialis (AT) muscles on video-polysomnography at each visit was scored. The diagnosis of neurodegenerative diseases was confirmed by a neurologist. RESULTS 44 patients (67.4 ± 8.2 years old, 6 females) and 44 controls were recruited. The combined REM sleep EMG level on mentalis and AT muscles of pRBD patients significantly increased during 8.2 ± 3.3 years of follow-up (from 19.3 ± 9.7% to 47.3 ± 27.4% with estimated annual increase of 3.9%), yielding 29 pRBD patients (66%) meeting the full-blown RBD diagnostic criteria. Baseline REM sleep mentalis and AT muscles EMG activity of patients who developed full-blown RBD could favourably differentiate pRBD from controls (6.3% for mentalis 'any' and 9.1% for combination of mentalis 'any' and bilateral AT muscles phasic EMG with AUC of 0.88 [0.78-0.98] and 0.97 [0.92-1.00] respectively). pRBD patients had a higher risk for neurodegenerative diseases (9 developed Parkinson's disease and 3 developed dementia with Lewy bodies) when compared to controls (5 developed Alzheimer's disease, adjusted hazard ratio = 2.95, 95% CI = 1.02-8.54). CONCLUSIONS pRBD has a predictive progression in both pathophysiology and neurodegenerative outcome. This finding has significant implications to the nosological status of pRBD, the current REM sleep-related EMG diagnostic criteria, spectrum concept of RBD and future neuroprotective intervention. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that EMG activity during REM sleep predicts the development of prodromal REM sleep behavior disorder.
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Affiliation(s)
- Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Jihui Zhang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.,Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Steven Wh Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Mandy Wai Man Yu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., 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, Shatin, N.T., Hong Kong SAR, China
| | - Joey Wy Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Shirley Xin Li
- Department of Psychology, The University of Hong Kong, Pokfulam, Hong Kong SAR, China; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam, 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, Shatin, N.T., Hong Kong SAR, China
| | - Jing Wang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Hongliang Feng
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.,Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Li Zhou
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Vincent Mok
- Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Gerald Choa Neuroscience Centre, Lui Che Wo Institute of Innovative Medicine, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, 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, Shatin, N.T., Hong Kong SAR, China
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16
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Ye G, Xu X, Zhou L, Zhao A, Zhu L, Liu J. Evolution patterns of probable REM sleep behavior disorder predicts Parkinson's disease progression. NPJ Parkinsons Dis 2022; 8:36. [PMID: 35383198 PMCID: PMC8983711 DOI: 10.1038/s41531-022-00303-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 03/09/2022] [Indexed: 11/09/2022] Open
Abstract
The course of REM sleep behavior disorder (RBD) variates in the early stage of Parkinson's disease. We aimed to delineate the association between the evolution pattern of probable RBD (pRBD) and the progression of Parkinson's disease (PD). 281 de novo PD patients from the Parkinson's Progression Markers Initiative database were included. Patients were followed up for a mean of 6.8 years and were classified into different groups according to the evolution patterns of pRBD. Disease progression was compared among groups using survival analysis, where the endpoint was defined as progression to Hoehn-Yahr stage 3 or higher for motor progression and progression to mild cognitive impairment for cognitive decline. At the 4th year of follow-up, four types of pRBD evolution patterns were identified: (1) non-RBD-stable (55.5%): patients persistently free of pRBD; (2) late-RBD (12.1%): patients developed pRBD during follow-up; (3) RBD-stable (24.9%): patients showed persistent pRBD, and (4) RBD-reversion (7.5%): patients showed pRBD at baseline which disappeared during follow-up. The RBD-reversion type showed the fastest motor progression while the RBD-stable type showed the fastest cognitive decline. At baseline, the RBD-reversion type showed the most severe gray matter atrophy in the middle frontal gyrus, while the RBD-stable type showed gray matter atrophy mainly in the para-hippocampal gyrus. Four types of early pRBD evolution patterns featured different brain lesions and predicted different courses of motor and cognitive decline in PD.
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Affiliation(s)
- Guanyu Ye
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaomeng Xu
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liche Zhou
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Aonan Zhao
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Zhu
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Liu
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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17
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Diffusion Tensor Imaging Reveals Deep Brain Structure Changes in Early Parkinson's Disease Patients with Various Sleep Disorders. Brain Sci 2022; 12:brainsci12040463. [PMID: 35447994 PMCID: PMC9025175 DOI: 10.3390/brainsci12040463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/22/2022] [Accepted: 03/25/2022] [Indexed: 12/10/2022] Open
Abstract
Parkinson’s disease (PD) is a progressive age-related movement disorder caused by dopaminergic neuron loss in the substantia nigra. Diffusion-based magnetic resonance imaging (MRI) studies—namely, diffusion tensor imaging (DTI)—have been performed in the context of PD, either with or without the involvement of sleep disorders (SDs), to deepen our understanding of cerebral microstructural alterations. Analyzing the clinical characteristics and neuroimaging features of SDs in early PD patients is beneficial for early diagnosis and timely invention. In our present study, we enrolled 36 early PD patients (31 patients with SDs and 5 patients without) and 22 healthy controls. Different types of SDs were assessed using the Rapid Eye Movement Sleep Behavior Disorder Questionnaire—Hong Kong, Epworth Sleepiness Scale, International Restless Legs Scale and PD Sleep Scale-2. Brain MRI examinations were carried out in all the participants, and a region-of-interest (ROI) analysis was used to determine the DTI-based fractional anisotropy (FA) values in the substantia nigra (SN), thalamus (Thal) and hypothalamus (HT). The results illustrate that SDs showed a higher prevalence in the early PD patients than in the healthy controls (86.11% vs. 27.27%). Early PD patients with nighttime problems (NPs) had longer courses of PD than those without (5.097 ± 2.925 vs. 2.200 ± 1.095; p < 0.05), and these patients with excessive daytime sleepiness (EDS) or restless legs syndrome (RLS) had more advanced Hoehn and Yahr stages (HY stage) than those without (1.522 ± 0.511 and 1.526 ± 0.513, respectively; both p < 0.05). Compared with the early PD patients without probable rapid eye movement sleep behavior disorder (pRBD), those with pRBD had longer courses, more advanced HY stages and worse motor and non-motor symptoms of PD (course(years), 3.385 ± 1.895 vs. 5.435 ± 3.160; HY stages, 1.462 ± 0.477 vs. 1.848 ± 0.553; UPDRS, 13.538 ± 7.333 vs. 21.783 ± 10.766; UPDRS, 6.538 ± 1.898 vs. 7.957 ± 2.345; all p < 0.05). In addition, the different number of SD types in early PD patients was significantly inversely associated with the severity of damage in the SN and HT. All of the early PD patients with various SDs had injuries in the SN, in whom the damage was more pronounced in patients with NP than those without. Moreover, early PD patients with NP, RLS or pRBD had worse degrees of HT damage than those without. The current study demonstrated the pathophysiological features and neuroimaging changes in early PD patients with various types of sleep disorders, which will help in early diagnosis and therapy.
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18
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Cesari M, Heidbreder A, St Louis EK, Sixel-Döring F, Bliwise DL, Baldelli L, Bes F, Fantini ML, Iranzo A, Knudsen-Heier S, Mayer G, McCarter S, Nepozitek J, Pavlova M, Provini F, Santamaria J, Sunwoo JS, Videnovic A, Högl B, Jennum P, Christensen JAE, Stefani A. Video-polysomnography procedures for diagnosis of rapid eye movement sleep behavior disorder (RBD) and the identification of its prodromal stages: guidelines from the International RBD Study Group. Sleep 2022; 45:6409886. [PMID: 34694408 DOI: 10.1093/sleep/zsab257] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 09/14/2021] [Indexed: 11/13/2022] Open
Abstract
Video-polysomnography (v-PSG) is essential for diagnosing rapid eye movement (REM) sleep behavior disorder (RBD). Although there are current American Academy of Sleep Medicine standards to diagnose RBD, several aspects need to be addressed to achieve harmonization across sleep centers. Prodromal RBD is a stage in which symptoms and signs of evolving RBD are present, but do not yet meet established diagnostic criteria for RBD. However, the boundary between prodromal and definite RBD is still unclear. As a common effort of the Neurophysiology Working Group of the International RBD Study Group, this manuscript addresses the need for comprehensive and unambiguous v-PSG recommendations to diagnose RBD and identify prodromal RBD. These include: (1) standardized v-PSG technical settings; (2) specific considerations for REM sleep scoring; (3) harmonized methods for scoring REM sleep without atonia; (4) consistent methods to analyze video and audio recorded during v-PSGs and to classify movements and vocalizations; (5) clear v-PSG guidelines to diagnose RBD and identify prodromal RBD. Each section follows a common template: The current recommendations and methods are presented, their limitations are outlined, and new recommendations are described. Finally, future directions are presented. These v-PSG recommendations are intended for both practicing clinicians and researchers. Classification and quantification of motor events, RBD episodes, and vocalizations are however intended for research purposes only. These v-PSG guidelines will allow collection of homogeneous data, providing objective v-PSG measures and making future harmonized multicentric studies and clinical trials possible.
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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
| | - Erik K St Louis
- Mayo Center for Sleep Medicine, Departments of Neurology and Medicine, Division of Pulmonary and Critical Care Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.,Department of Research, Mayo Clinic Health System Southwest Wisconsin, La Crosse, WI, USA
| | - Friederike Sixel-Döring
- Paracelsus Elena Klinik, Kassel, Germany.,Department of Neurology, Philipps-University, Marburg, Germany
| | - Donald L Bliwise
- Sleep Center, Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Luca Baldelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Frederik Bes
- Clinic for Sleep- and Chronomedicine, St. Hedwig-Krankenhaus, Berlin, Germany
| | - Maria Livia Fantini
- NPsy-Sydo, Clermont-Ferrand University Hospital, Neurology Department, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Alex Iranzo
- Sleep Disorders Center, Neurology Service, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain
| | - Stine Knudsen-Heier
- Norwegian Center of Expertise for Neurodevelopmental Disorders and Hypersomnias (NevSom), Department of Rare disorders, Oslo University Hospital, Oslo, Norway
| | - Geert Mayer
- Department of Neurology, Philipps-University, Marburg, Germany.,Department of Neurology, Hephata Klinik, Schwalmstadt, Germany
| | - Stuart McCarter
- Mayo Center for Sleep Medicine, Departments of Neurology and Medicine, Division of Pulmonary and Critical Care Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Jiri Nepozitek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University, General University Hospital, Prague, Czech Republic
| | - Milena Pavlova
- Department of Neurology, Brigham and Women's Hospital; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Federica Provini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Joan Santamaria
- Sleep Disorders Center, Neurology Service, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain
| | - Jun-Sang Sunwoo
- Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea
| | - Aleksandar Videnovic
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Poul Jennum
- Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet Glostrup, Denmark
| | - Julie A E Christensen
- Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet Glostrup, Denmark.,Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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19
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Meoni G, Tenori L, Schade S, Licari C, Pirazzini C, Bacalini MG, Garagnani P, Turano P, Trenkwalder C, Franceschi C, Mollenhauer B, Luchinat C. Metabolite and lipoprotein profiles reveal sex-related oxidative stress imbalance in de novo drug-naive Parkinson's disease patients. NPJ Parkinsons Dis 2022; 8:14. [PMID: 35136088 PMCID: PMC8826921 DOI: 10.1038/s41531-021-00274-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 12/16/2021] [Indexed: 12/14/2022] Open
Abstract
Parkinson’s disease (PD) is the neurological disorder showing the greatest rise in prevalence from 1990 to 2016. Despite clinical definition criteria and a tremendous effort to develop objective biomarkers, precise diagnosis of PD is still unavailable at early stage. In recent years, an increasing number of studies have used omic methods to unveil the molecular basis of PD, providing a detailed characterization of potentially pathological alterations in various biological specimens. Metabolomics could provide useful insights to deepen our knowledge of PD aetiopathogenesis, to identify signatures that distinguish groups of patients and uncover responsive biomarkers of PD that may be significant in early detection and in tracking the disease progression and drug treatment efficacy. The present work is the first large metabolomic study based on nuclear magnetic resonance (NMR) with an independent validation cohort aiming at the serum characterization of de novo drug-naive PD patients. Here, NMR is applied to sera from large training and independent validation cohorts of German subjects. Multivariate and univariate approaches are used to infer metabolic differences that characterize the metabolite and the lipoprotein profiles of newly diagnosed de novo drug-naive PD patients also in relation to the biological sex of the subjects in the study, evidencing a more pronounced fingerprint of the pathology in male patients. The presence of a validation cohort allowed us to confirm altered levels of acetone and cholesterol in male PD patients. By comparing the metabolites and lipoproteins levels among de novo drug-naive PD patients, age- and sex-matched healthy controls, and a group of advanced PD patients, we detected several descriptors of stronger oxidative stress.
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Affiliation(s)
- Gaia Meoni
- Magnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Florence, Italy
| | - Leonardo Tenori
- Magnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Florence, Italy.,Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (C.I.R.M.M.P.), Sesto Fiorentino, Florence, Italy
| | - Sebastian Schade
- Department of Clinical Neurophysiology, University Medical Center Goettingen, Goettingen, Germany
| | - Cristina Licari
- Magnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Florence, Italy
| | - Chiara Pirazzini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | | | - Paolo Garagnani
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Paola Turano
- Magnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Florence, Italy.,Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (C.I.R.M.M.P.), Sesto Fiorentino, Florence, Italy
| | | | - Claudia Trenkwalder
- University Medical Center Goettingen, Department of Neurology and Paracelsus-Elena-Klinik, Kassel, Germany
| | - Claudio Franceschi
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy. .,Laboratory of Systems Medicine of Healthy Aging and Department of Applied Mathematics, Lobachevsky University, Nizhny Novgorod, Russia.
| | - Brit Mollenhauer
- University Medical Center Goettingen, Department of Neurology and Paracelsus-Elena-Klinik, Kassel, Germany.
| | - Claudio Luchinat
- Magnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Florence, Italy. .,Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (C.I.R.M.M.P.), Sesto Fiorentino, Florence, Italy.
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20
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Horsager J, Knudsen K, Sommerauer M. Clinical and imaging evidence of brain-first and body-first Parkinson's disease. Neurobiol Dis 2022; 164:105626. [PMID: 35031485 DOI: 10.1016/j.nbd.2022.105626] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 01/04/2022] [Accepted: 01/07/2022] [Indexed: 12/17/2022] Open
Abstract
Braak's hypothesis has been extremely influential over the last two decades. However, neuropathological and clinical evidence suggest that the model does not conform to all patients with Parkinson's disease (PD). To resolve this controversy, a new model was recently proposed; in brain-first PD, the initial α-synuclein pathology arise inside the central nervous system, likely rostral to the substantia nigra pars compacta, and spread via interconnected structures - eventually affecting the autonomic nervous system; in body-first PD, the initial pathological α-synuclein originates in the enteric nervous system with subsequent caudo-rostral propagation to the autonomic and central nervous system. By using REM-sleep behavior disorder (RBD) as a clinical identifier to distinguish between body-first PD (RBD-positive at motor symptom onset) and brain-first PD (RBD-negative at motor symptom onset), we explored the literature to evaluate clinical and imaging differences between these proposed subtypes. Body-first PD patients display: 1) a larger burden of autonomic symptoms - in particular orthostatic hypotension and constipation, 2) more frequent pathological α-synuclein in peripheral tissues, 3) more brainstem and autonomic nervous system involvement in imaging studies, 4) more symmetric striatal dopaminergic loss and motor symptoms, and 5) slightly more olfactory dysfunction. In contrast, only minor cortical metabolic alterations emerge before motor symptoms in body-first. Brain-first PD is characterized by the opposite clinical and imaging patterns. Patients with pathological LRRK2 genetic variants mostly resemble a brain-first PD profile whereas patients with GBA variants typically conform to a body-first profile. SNCA-variant carriers are equally distributed between both subtypes. Overall, the literature indicates that body-first and brain-first PD might be two distinguishable entities on some clinical and imaging markers.
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Affiliation(s)
- Jacob Horsager
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark.
| | - Karoline Knudsen
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark
| | - Michael Sommerauer
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark; Department of Neurology, University Hospital Cologne, Faculty of Medicine, University of Cologne, Köln, Germany; Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, Jülich, Germany
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21
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Jia X, Fan W, Wang Z, Liu Y, Li Y, Li H, Li H, Ma T, Wang J, Yang Q. Progressive Prefrontal Cortex Dysfunction in Parkinson's Disease With Probable REM Sleep Behavior Disorder: A 3-Year Longitudinal Study. Front Aging Neurosci 2022; 13:750767. [PMID: 35082656 PMCID: PMC8784770 DOI: 10.3389/fnagi.2021.750767] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 11/19/2021] [Indexed: 11/13/2022] Open
Abstract
This study aimed to explore the disrupted prefrontal cortex activity specific to patients with Parkinson's disease (PD) with rapid eye movement sleep behavior disorder (RBD) compared with those without and to further examine the associations between these alterations and neuropsychological measurements. Ninety-six patients with early PD underwent both structural and functional MRI, and also neuropsychological assessments in the Parkinson's Progression Markers Initiative (PPMI) database. Of these, 46 patients who completed 1- and 3-year fMRI follow-up examinations were categorized as PD with probable RBD (PD-pRBD+) and without (PD-pRBD−). The left dorsolateral prefrontal cortex (DLPFC) seed-to-voxel functional connectivity analysis was conducted to evaluate the progressive neural alterations specific to PD-pRBD+ compared with PD-pRBD− over time. Furthermore, relationships between these alterations and neuropsychological performance were examined. Compared with patients with PD-pRBD−, patients with PD-pRBD+ initially exhibited connectivity deficits between the left DLPFC and the medial frontopolar cortex. Moreover, these patients further exhibited disrupted DLPFC connectivity in the lateral frontopolar cortex at the 3-year follow-up evaluation. Correlation analysis revealed that connectivity between the left DLPFC and frontopolar cortex was positively related to executive function in PD-pRBD+ after adjusting for nuisance variables. Progressive prefrontal cortex dysfunction associated with RBD in early PD may provide an effective subtype-specific biomarker of neurodegenerative progression, which may shed light on the neuropathological mechanisms underlying the clinical heterogeneity of this disease.
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Affiliation(s)
- Xiuqin Jia
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China
| | - Wentao Fan
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Department of Radiology, Beijing Geriatric Hospital, Beijing, China
| | - Zhijiang Wang
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital (Institute of Mental Health), Beijing, China
| | - Yuehong Liu
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
| | - Ying Li
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Haibin Li
- Department of Cardiac Surgery, Heart Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Hui Li
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
| | - Ting Ma
- School of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China
| | - Jing Wang
- Department of Clinical Lab, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- *Correspondence: Jing Wang
| | - Qi Yang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China
- Qi Yang
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22
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Schütz L, Sixel-Döring F, Hermann W. Management of Sleep Disturbances in Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2022; 12:2029-2058. [PMID: 35938257 PMCID: PMC9661340 DOI: 10.3233/jpd-212749] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/23/2022] [Indexed: 06/07/2023]
Abstract
Parkinson's disease (PD) is defined by its motor symptoms rigidity, tremor, and akinesia. However, non-motor symptoms, particularly autonomic disorders and sleep disturbances, occur frequently in PD causing equivalent or even greater discomfort than motor symptoms effectively decreasing quality of life in patients and caregivers. Most common sleep disturbances in PD are insomnia, sleep disordered breathing, excessive daytime sleepiness, REM sleep behavior disorder, and sleep-related movement disorders such as restless legs syndrome. Despite their high prevalence, therapeutic options in the in- and outpatient setting are limited, partly due to lack of scientific evidence. The importance of sleep disturbances in neurodegenerative diseases has been further emphasized by recent evidence indicating a bidirectional relationship between neurodegeneration and sleep. A more profound insight into the underlying pathophysiological mechanisms intertwining sleep and neurodegeneration might lead to unique and individually tailored disease modifying or even neuroprotective therapeutic options in the long run. Therefore, current evidence concerning the management of sleep disturbances in PD will be discussed with the aim of providing a substantiated scaffolding for clinical decisions in long-term PD therapy.
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Affiliation(s)
- Lukas Schütz
- Department of Neurology, University of Rostock, Rostock, Germany
| | | | - Wiebke Hermann
- Department of Neurology, University of Rostock, Rostock, Germany
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23
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Longitudinal Studies of Sleep Disturbances in Parkinson's Disease. Curr Neurol Neurosci Rep 2022; 22:635-655. [PMID: 36018498 PMCID: PMC9617954 DOI: 10.1007/s11910-022-01223-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/24/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE OF REVIEW Sleep disorders are among the most common non-motor symptoms in Parkinson's disease (PD). Recent longitudinal studies of sleep in PD have utilized validated sleep questionnaires and video-polysomnography performed over multiple time points. This review summarizes existing longitudinal studies focusing on the prevalence, associations, and changes of sleep disorders in PD over time, as well as the methodologies used in these studies. RECENT FINDINGS Fifty-three longitudinal studies of sleep in PD were identified: excessive daytime sleepiness, insomnia, obstructive sleep apnea, rapid eye movement sleep behavior disorder (RBD), restless legs syndrome, and shift work disorder were studied in addition to other studies that had focused on either multiple sleep disorders or broadly on sleep disorders as a whole. The prevalence of sleep disorders increases over time and are associated particularly with non-motor features of disease. RBD is now considered an established prodromal feature of PD, but other sleep disorders do not clearly increase risk of subsequent PD. Further work is necessary to determine if treatment of sleep disorders in PD alters disease symptom and their progression or reduces PD risk. Longitudinal studies of sleep in PD have demonstrated a high prevalence of sleep disorders that are associated with non-motor features of PD which can increase over time. More work is necessary to determine if treatment of sleep disorders can alter the course of PD.
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24
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Suzuki K. Current Update on Clinically Relevant Sleep Issues in Parkinson's Disease: A Narrative Review. JOURNAL OF PARKINSONS DISEASE 2021; 11:971-992. [PMID: 33896849 PMCID: PMC8461662 DOI: 10.3233/jpd-202425] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Sleep disturbances are among the common nonmotor symptoms in patients with Parkinson’s disease (PD). Sleep can be disrupted by nocturnal motor and nonmotor symptoms and other comorbid sleep disorders. Rapid eye movement sleep behavior disorder (RBD) causes sleep-related injury, has important clinical implications as a harbinger of PD and predicts a progressive clinical phenotype. Restless legs syndrome (RLS) and its related symptoms can impair sleep initiation. Excessive daytime sleepiness (EDS) is a refractory problem affecting patients’ daytime activities. In particular, during the COVID-19 era, special attention should be paid to monitoring sleep problems, as infection-prevention procedures for COVID-19 can affect patients’ motor symptoms, psychiatric symptoms and sleep. Therefore, screening for and managing sleep problems is important in clinical practice, and the maintenance of good sleep conditions may improve the quality of life of PD patients. This narrative review focused on the literature published in the past 10 years, providing a current update of various sleep disturbances in PD patients and their management, including RBD, RLS, EDS, sleep apnea and circadian abnormalities.
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Affiliation(s)
- Keisuke Suzuki
- Department of Neurology, Dokkyo Medical University, Shimotsuga, Tochigi, Japan
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25
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Shrestha N, Abe RAM, Masroor A, Khorochkov A, Prieto J, Singh KB, Nnadozie MC, Abdal M, Mohammed L. The Correlation Between Parkinson's Disease and Rapid Eye Movement Sleep Behavior Disorder: A Systematic Review. Cureus 2021; 13:e17026. [PMID: 34522507 PMCID: PMC8425494 DOI: 10.7759/cureus.17026] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 08/09/2021] [Indexed: 11/21/2022] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disease caused due to the destruction of dopaminergic neurons and the deposition of α-synuclein proteins, known as Lewy bodies. Generally, the diagnosis of PD is centered around motor symptoms. However, the early recognition of non-motor symptoms such as autonomic dysfunction, sleep disturbances, and cognitive and psychiatric disturbances are gaining increased attention for the early diagnosis of PD. Rapid eye movement (REM) sleep behavior disorder or REM sleep behavior disorder (RBD) is described as parasomnia, which is a condition of loss of normal muscle atonia causing the person to act out vivid dreams and it has been seen to be associated with the misprocessing of intercellular α-synuclein leading to neurodegenerative diseases such as PD. This review's objective is to highlight the significance of RBD as a prodromal premotor marker for the early detection of PD. We used PubMed as our primary database to search for articles on May 2, 2021, and a total of 1849 articles were found in our initial search using keywords and medical subject heading (MeSH) keywords. Thereafter, we removed the duplicates, applied the inclusion/exclusion criteria, and did a quality appraisal to include 10 articles in this study. We concluded that the recognition and diagnosis of RBD are of paramount importance to detect early PD, and further longitudinal studies and clinical trials are of utmost importance to understand their correlation; also, treatment trials are needed to prevent the phenoconversion of RBD into PD.
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Affiliation(s)
- Niki Shrestha
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Rose Anne M Abe
- Research, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Anum Masroor
- Psychiatry, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
- Psychiatry, Psychiatric Care Associates, Englewood, USA
- Medicine, Khyber Medical College, Peshawar, PAK
| | - Arseni Khorochkov
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Jose Prieto
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Karan B Singh
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Maduka C Nnadozie
- Research, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Muhammad Abdal
- Emergency Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Lubna Mohammed
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
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26
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Terracciano A, Aschwanden D, Stephan Y, Cerasa A, Passamonti L, Toschi N, Sutin AR. Neuroticism and Risk of Parkinson's Disease: A Meta-Analysis. Mov Disord 2021; 36:1863-1870. [PMID: 33817817 PMCID: PMC8376751 DOI: 10.1002/mds.28575] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 02/24/2021] [Accepted: 02/26/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Neuroticism is linked to mood disorders and Alzheimer's disease, but fewer studies have tested the prospective association with Parkinson's disease (PD). OBJECTIVES To examine the association between neuroticism and risk of PD in a large cohort and a meta-analysis of prospective cohort studies. METHODS Participants from the UK Biobank (N = 490,755) completed a neuroticism scale in 2006-2010. Incident PD was ascertained using electronic health records or death records up to 2018. The systematic search and meta-analysis followed the MOOSE guidelines. RESULTS During 11.91 years of follow-up (mean = 8.88 years; 4,360,105 person-years) 1142 incident PD cases were identified. Neuroticism was associated with higher risk of incident PD, both as continuous (HR = 1.28; 95% CI: 1.21-1.36) and categorical variable (top vs. bottom quartiles: HR = 1.88; 95% CI: 1.60-2.22). The association remained significant after accounting for age, sex, smoking, physical activity, anxiety, and depressed mood, and after excluding cases that occurred within the first 5 years of follow-up. The associations were similar for women and men and across levels of socioeconomic status. Random-effect meta-analysis of four prospective studies (N = 548,284) found neuroticism associated with increased risk of incident PD (HR = 1.82; 95% CI: 1.59-2.08; P = 7.31-19 ). There was no evidence of heterogeneity across studies with follow-ups ranging from one to four decades. CONCLUSION The results from the large UK Biobank and meta-analysis of prospective studies indicate that neuroticism is consistently associated with a higher risk of incident PD. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Antonio Terracciano
- Department of Geriatrics, Florida State University College of Medicine, Tallahassee, FL, USA
| | - Damaris Aschwanden
- Department of Geriatrics, Florida State University College of Medicine, Tallahassee, FL, USA
| | | | - Antonio Cerasa
- Institute for Biomedical Research and Innovation, National Research Council (IRIB-CNR), 87050 Mangone (CS), Italy
- S. Anna Institute, 88900 Crotone, Italy
| | - Luca Passamonti
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Istituto di Bioimmagini e Fisiologia Molecolare (IBFM), Consiglio Nazionale delle Ricerche (CNR), Milano, Italy
| | - Nicola Toschi
- Department of Biomedicine & Prevention, University "Tor Vergata", Rome, Italy
- A.A. Martinos Center for Biomedical Imaging - Harvard Medical School/MGH
| | - Angelina R. Sutin
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, USA
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27
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Brink-Kjær A, Cesari M, Sixel-Döring F, Mollenhauer B, Trenkwalder C, Mignot E, Sorensen HBD, Jennum P. Arousal Characteristics in Patients with Parkinson's Disease and Isolated Rapid Eye Movement Sleep Behavior Disorder. Sleep 2021; 44:6313215. [PMID: 34214165 DOI: 10.1093/sleep/zsab167] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 05/02/2021] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES Patients diagnosed with isolated rapid eye movement (REM) sleep behavior disorder (iRBD) and Parkinson's disease (PD) have altered sleep stability reflecting neurodegeneration in brainstem structures. We hypothesize that neurodegeneration alters the expression of cortical arousals in sleep. METHODS We analyzed polysomnography data recorded from 88 healthy controls (HC), 22 iRBD patients, 82 de novo PD patients without RBD and 32 with RBD (PD+RBD). These patients were also investigated at a 2-year follow-up. Arousals were analyzed using a previously validated automatic system, which used a central EEG lead, electrooculography, and chin electromyography. Multiple linear regression models were fitted to compare group differences at baseline and change to follow-up for arousal index (ArI), shifts in electroencephalographic signals associated with arousals, and arousal chin muscle tone. The regression models were adjusted for known covariates affecting the nature of arousal. RESULTS In comparison to HC, patients with iRBD and PD+RBD showed increased ArI during REM sleep and their arousals showed a significantly lower shift in α-band power at arousals and a higher muscle tone during arousals. In comparison to HC, the PD patients were characterized by a decreased ArI in NREM sleep at baseline. ArI during NREM sleep decreased further at the 2-year follow-up, although not significantly. CONCLUSIONS Patients with PD and iRBD present with abnormal arousal characteristics as scored by an automated method. These abnormalities are likely to be caused by neurodegeneration of the reticular activation system due to alpha-synuclein aggregation.
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Affiliation(s)
- Andreas Brink-Kjær
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.,Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet, Denmark.,Stanford Center for Sleep Sciences and Medicine, Stanford University, Palo Alto, CA, USA
| | - Matteo Cesari
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Friederike Sixel-Döring
- Paracelsus-Elena Klinik, Kassel, Germany.,Department of Neurology, Philipps-University Marburg, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena Klinik, Kassel, Germany.,Department of Neurology, University Medical Center Goettingen, Germany
| | - Claudia Trenkwalder
- Paracelsus-Elena Klinik, Kassel, Germany.,Department of Neurosurgery, University Medical Center, Goettingen, Germany
| | - Emmanuel Mignot
- Stanford Center for Sleep Sciences and Medicine, Stanford University, Palo Alto, CA, USA
| | - Helge B D Sorensen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Poul Jennum
- Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet, Denmark
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28
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Zimansky L, Muntean ML, Leha A, Mollenhauer B, Trenkwalder C, Sixel-Döring F. Incidence and Progression of Rapid Eye Movement Behavior Disorder in Early Parkinson's Disease. Mov Disord Clin Pract 2021; 8:534-540. [PMID: 33977115 PMCID: PMC8088113 DOI: 10.1002/mdc3.13168] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/27/2021] [Accepted: 02/02/2021] [Indexed: 01/21/2023] Open
Abstract
Background Rapid eye movement (REM) sleep behavior disorder (RBD) is associated with neurodegenerative diseases; however, few longitudinal studies assess the individual evolution of RBD and REM sleep without atonia (RWA) in Parkinson's disease (PD). Objectives We aimed to evaluate RBD and RWA changes over time as well as potentially influential factors. Methods RBD and RWA were analyzed using video‐supported polysomnography (vPSG) in initially de novo PD patients at baseline and every 2 years for a total of 6 years. The influence of time, age, sex, levodopa equivalent daily dose (LEDD), unified Parkinson's disease rating scale (UPDRS) sum scores, benzodiazepine intake, Mini‐Mental State Examination (MMSE) total scores, and dyskinesia on RWA were investigated using mixed‐effect models to account for intra‐individual correlations. Results After 6 years, vPSG data were available from 98 of the initial 159 de novo PD patients. RBD prevalence increased from 25% at baseline to 52%. Of the 31 PD patients with RBD and valid vPSGs at all time‐points, RWA increased from an average of 19% at baseline to 41% at 6‐year follow‐up modeled to grow by 29.7% every 2 years (P < 0.001). Time was an independent factor (P < 0.001) for RWA increase. Age was an independent factor influencing RWA increase (P = 0.04). Sex, LEDD, UPDRS sum scores, benzodiazepines, MMSE total scores, and dyskinesia did not have any significant influence. Conclusions RBD and RWA increased significantly over time in PD; time and age were independent factors in a prospective cohort. RBD and RWA can be considered PD progression markers.
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Affiliation(s)
- Larissa Zimansky
- Department of Neurosurgery University Medical Center Göttingen Germany.,Paracelsus-Elena Klinik Kassel Germany
| | | | - Andreas Leha
- Department of Medical Statistics University Medical Center Göttingen Germany
| | - Brit Mollenhauer
- Paracelsus-Elena Klinik Kassel Germany.,Department of Neurology University Medical Center Göttingen Germany
| | - Claudia Trenkwalder
- Department of Neurosurgery University Medical Center Göttingen Germany.,Paracelsus-Elena Klinik Kassel Germany
| | - Friederike Sixel-Döring
- Paracelsus-Elena Klinik Kassel Germany.,Department of Neurology Philipps-University Marburg Germany
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29
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Systematic video-analysis of motor events during REM sleep in idiopathic REM sleep behavior disorder, follow-up and DAT-SPECT. Sleep Med 2021; 83:132-144. [PMID: 33993030 DOI: 10.1016/j.sleep.2021.04.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 12/19/2020] [Accepted: 04/20/2021] [Indexed: 11/23/2022]
Abstract
Abnormal motor manifestations in REM sleep are the most visible feature of idiopathic REM sleep behavior disorder (iRBD), which precedes the overt alpha-synucleinopathy. The aim of this study was to perform a systematic visual analysis of the motor events (ME) captured during video-polysomnography, and clarify their relation to the disease severity. Thirty-four iRBD patients (5 women, 29 men; age 67.7 ± 7.2) with a mean follow-up duration 2.9 ± 1.1 years. and 33 controls (10 women, 23 men; age 61.5 ± 8.2) were examined. The ME captured during REM sleep were classified into four categories, previously defined by Frauscher et al. according to clinical severity: minor/simple jerks, major, complex and violent. An average frequency of 110.8 ± 75.2 ME per hour were identified in iRBD, 7.5 ± 11.6 in the controls (p < 0.001). Of these ME, 68.4% were classified as minor/simple jerks, 9.3% as major, 21.7% as complex and 0.7% as violent. The ME frequency was negatively associated with tracer binding on dopamine transporter single-photon emission computed tomography (DAT-SPECT); the association was stronger for caudate nucleus compared to putamen. During follow-up seven patients (24.1%) phenoconverted, yielding a yearly phenoconversion rate 8.3%. Violent ME were associated with increased hazard ratio for phenoconversion in frequency (p = 0.012) and total duration (p = 0.007). Patients with higher amounts of violent ME had a greater risk of phenoconversion; therefore, their role as a predictor should be considered. Additionally, ME were associated with nigrostriatal degeneration, according to DAT-SPECT. These findings indicate that the degree of the clinical severity of motor manifestations in iRBD reflects the severity of the disease.
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30
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Abstract
Sleep disorders in Parkinson disease have attracted the attention of clinicians and researchers for decades. Recently, major advances in their clinical characterization, polysomnographic description, pathophysiologic understanding, and treatment took place. Parkinson disease encompasses the whole spectrum of sleep medicine: every category of sleep disorder can be observed in these patients. Video polysomnography frequently is indicated, sometimes followed by multiple sleep latency/maintenance of wakefulness tests. Additional studies may include actigraphy, cardiorespiratory polygraphy, and dim light melatonin assessment. Treatment needs to be specific to the underlying sleep disorder and can include medications and nondrug treatments, for example, behavioral therapy and light therapy.
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Affiliation(s)
- Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Anichstr. 35, Innsbruck 6020, Austria
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Anichstr. 35, Innsbruck 6020, Austria.
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31
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Cesari M, Heidbreder A, Bergmann M, Holzknecht E, Högl B, Stefani A. Flexor digitorum superficialis muscular activity is more reliable than mentalis muscular activity for rapid eye movement sleep without atonia quantification. Sleep 2021; 44:6220466. [PMID: 33842971 DOI: 10.1093/sleep/zsab094] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 03/17/2021] [Indexed: 11/12/2022] Open
Abstract
STUDY OBJECTIVES To evaluate interrater reliability for artefact correction in the context of semi-automated quantification of rapid eye movement (REM) sleep without atonia (RWA) in the mentalis and flexor digitorum superficialis (FDS) muscles. METHODS We included video-polysomnographies of 14 subjects with apnea-hypopnea-index in REM sleep (AHIREM)<15/h and 11 subjects with AHIREM≥15/h. Eight subjects had isolated REM sleep behavior disorder. A validated algorithm (www.osg.be) automatically scored phasic and "any" EMG activity in the mentalis muscle, and phasic EMG activity in the FDS muscles. Four independent expert scorers performed artefact correction according to the SINBAR (Sleep Innsbruck Barcelona) recommendations. Interrater reliability for artefact correction was computed with B-statistics. The variability across scorers of four RWA indices (phasic mentalis, "any" mentalis, phasic FDS and SINBAR - i.e. "any" mentalis and/or phasic FDS - EMG activity indices) was computed. With Friedman tests we compared B-statistics obtained for mentalis and FDS muscles, and the variability of the RWA indices. Influence of AHIREM and RBD diagnosis on the RWA indices variability was evaluated with linear regressions. RESULTS Interrater reliability for artefact correction was higher in the FDS than in the mentalis muscle (p<0.001). Phasic FDS activity was minimally affected by artefacts. Accordingly, the phasic FDS EMG activity index had the lowest variability across scorers (p<0.001). Variability across scorers of the RWA indices including the mentalis muscle increased with AHIREM and was independent from RBD diagnosis. CONCLUSIONS Due to the consistently found low number of artefacts, phasic FDS activity is a reliable measure of 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
| | - Melanie Bergmann
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Evi Holzknecht
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - 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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32
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Sringean J, Stefani A, Marini K, Bergmann M, Werkmann M, Holzknecht E, De Marzi R, Brandauer E, Hackner H, Djamshidian A, Stockner H, Gaig C, Iranzo A, Santamaria J, Tolosa E, Seppi K, Poewe W, Högl B. REM Sleep Behavior Disorder and REM Sleep Without Atonia are More Frequent in Advanced versus Early Parkinson's Disease. Sleep 2021; 44:6171208. [PMID: 33720377 DOI: 10.1093/sleep/zsab067] [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] [Received: 08/28/2020] [Revised: 01/09/2021] [Indexed: 01/20/2023] Open
Abstract
STUDY OBJECTIVES To evaluate macro sleep architecture and characterize REM sleep without atonia (RWA) by using the SINBAR EMG montage including mentalis and upper extremity muscles in early and advanced Parkinson's disease (PD). METHODS We recruited 30 patients with early- and advanced-stage of PD according to Movement Disorder Society (MDS) Clinical Diagnostic Criteria. Participants were classified as early-stage PD if they were treatment-naïve or had no motor complications and had been diagnosed with PD within the previous 6 years. Advanced PD was defined as a disease duration equal to or more than 6 years with or without motor complications. RESULTS There was significantly shorter REM sleep latency in early as compared to advanced stage of PD. We found that the SINBAR EMG index and tonic EMG activity of the mentalis muscle in advanced-stage PD were significantly higher than in early-stage PD with a trend in phasic EMG activity of the flexor digitorum superficialis muscles. The SINBAR EMG index, tonic and any EMG activity of the mentalis muscle, and phasic EMG activity of flexor digitorum superficialis muscles significantly correlated with disease duration. CONCLUSIONS This study analyzed RWA using the SINBAR EMG montage in early- and advanced-stage of PD and showed higher RWA in mentalis and flexor digitorum superficialis muscles and SINBAR EMG index in advanced-PD patients compared to patients in the early stage. Also, PSG-confirmed RBD was more common in advanced versus early-stage patients. Our findings suggest that RWA worsens or is more intense or more frequent with disease progression.
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Affiliation(s)
- Jirada Sringean
- Chulalongkorn Center of Excellence for Parkinson's Disease & Related Disorders, Chulalongkorn University, Bangkok, Thailand.,Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Ambra Stefani
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Kathrin Marini
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Melanie Bergmann
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Mario Werkmann
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Evi Holzknecht
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Roberto De Marzi
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | | | - Heinz Hackner
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Atbin Djamshidian
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Heike Stockner
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Carles Gaig
- Parkinson disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED:CB06/05/0018-ISCIII) Barcelona, Spain.,Neurology Service, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Alex Iranzo
- Parkinson disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED:CB06/05/0018-ISCIII) Barcelona, Spain.,Neurology Service, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Joan Santamaria
- Parkinson disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED:CB06/05/0018-ISCIII) Barcelona, Spain.,Neurology Service, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Eduardo Tolosa
- Parkinson disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED:CB06/05/0018-ISCIII) Barcelona, Spain.,Neurology Service, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Klaus Seppi
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Werner Poewe
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Birgit Högl
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
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Fifel K, Videnovic A. Circadian and Sleep Dysfunctions in Neurodegenerative Disorders-An Update. Front Neurosci 2021; 14:627330. [PMID: 33536872 PMCID: PMC7848154 DOI: 10.3389/fnins.2020.627330] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 12/29/2020] [Indexed: 12/12/2022] Open
Abstract
Disruptions of sleep and circadian rhythms are among the most debilitating symptoms in patients with neurodegenerative diseases. Their underlying pathophysiology is multilayered and multifactorial. Recent evidence suggests that sleep and circadian disturbances may influence the neurodegenerative processes as well as be their consequence. In this perspective, we provide an update of the current understanding of sleep and circadian dysregulation in Alzheimer's, Parkinson's, and Huntington's diseases.
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Affiliation(s)
- Karim Fifel
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Japan
| | - Aleksandar Videnovic
- Movement Disorders Unit and Division of Sleep Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
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34
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Abstract
BACKGROUND Many Parkinson disease (PD) patients complain about chronic fatigue and sleep disturbances during the night. The objective of this study is to determine the relationship between fatigue and sleep disturbances by using polysomnography (PSG) in PD patients. METHODS Two hundred and thirty-two PD patients (152 with mild fatigue and 80 with severe fatigue) were recruited in this study. Demographic information and clinical symptoms were collected. Fatigue severity scale (FSS) was applied to evaluate the severity of fatigue, and PSG was conducted in all PD patients. FSS ≥4 was defined as severe fatigue, and FSS <4 was defined as mild fatigue. Multivariate logistic regression and linear regression models were used to investigate the associations between fatigue and sleep disturbances. RESULTS Patients with severe fatigue tended to have a longer duration of disease, higher Unified Parkinson Disease Rating Scale score, more advanced Hoehn and Yahr stage, higher daily levodopa equivalent dose, worse depression, anxiety, and higher daytime sleepiness score. In addition, they had lower percentage of rapid eye movement (REM) sleep (P = 0.009) and were more likely to have REM sleep behavior disorder (RBD) (P = 0.018). Multivariate logistic regression analyses found that the presence of RBD and proportion of REM sleep were the independent predictors for fatigue. After the adjustment of age, sex, duration, body mass index, severity of disease, scores of Hamilton Rating Scale for Depression, Hamilton Anxiety Rating Scale, and other sleep disorders, proportion of REM sleep and degree of REM sleep without atonia in patients with PD were still associated with FSS score. CONCLUSION Considering the association between fatigue, RBD, and the altered sleep architecture, fatigue is a special subtype in PD and more studies should be focused on this debilitating symptom.
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35
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Baldelli L, Provini F. Differentiating Oneiric Stupor in Agrypnia Excitata From Dreaming Disorders. Front Neurol 2020; 11:565694. [PMID: 33281702 PMCID: PMC7688744 DOI: 10.3389/fneur.2020.565694] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 10/01/2020] [Indexed: 12/22/2022] Open
Abstract
Oneiric Stupor (OS) in Agrypnia Excitata represents a peculiar condition characterized by the recurrence of stereotyped gestures such as mimicking daily-life activities associated with the reporting of a dream mentation consisting in a single oneiric scene. It arises in the context of a completely disorganized sleep structure lacking any physiological cyclic organization, thus, going beyond the concept of abnormal dream. However, a proper differential diagnosis of OS, in the complex world of the “disorders of dreaming” can become quite challenging. The aim of this review is to provide useful clinical and videopolygraphic data on OS to differentiate it from other dreaming disorders. Each entity will be clinically evaluated among the areas of dream mentation and abnormal sleep behaviors and its polygraphic features will be analyzed and distinguished from OS.
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Affiliation(s)
- Luca Baldelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Federica Provini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,Istituto di Ricovero e Cura a Carattere Scientifico Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
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36
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Xu Z, Anderson KN, Saffari SE, Lawson RA, Chaudhuri KR, Brooks D, Pavese N. Progression of sleep disturbances in Parkinson's disease: a 5-year longitudinal study. J Neurol 2020; 268:312-320. [PMID: 32804280 PMCID: PMC7815601 DOI: 10.1007/s00415-020-10140-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 07/31/2020] [Accepted: 08/04/2020] [Indexed: 12/28/2022]
Abstract
Background Sleep disorders can occur in early Parkinson’s disease (PD). However, the relationship between different sleep disturbances and their longitudinal evolution has not been fully explored. Objective To describe the frequency, coexistence, and longitudinal change in excessive daytime sleepiness (EDS), insomnia, and probable REM sleep behavior disorder (pRBD) in early PD. Methods Data were obtained from the Parkinson’s Progression Markers Initiative (PPMI). EDS, insomnia, and pRBD were defined using the Epworth Sleepiness Scale, MDS-UPDRS Part I sub-item 1.7, and RBD screening questionnaire. Results 218 PD subjects and 102 controls completed 5 years of follow-up. At baseline, 69 (31.7%) PD subjects reported one type of sleep disturbance, 25 (11.5%) reported two types of sleep disturbances, and three (1.4%) reported all three types of sleep disturbances. At 5 years, the number of PD subjects reporting one, two, and three types of sleep disturbances was 85 (39.0%), 51 (23.4%), and 16 (7.3%), respectively. Only 41(18.8%) patients were taking sleep medications. The largest increase in frequency was seen in insomnia (44.5%), followed by EDS (32.1%) and pRBD (31.2%). Insomnia was the most common sleep problem at any time over the 5-year follow-up. The frequency of sleep disturbances in HCs remained stable. Conclusions There is a progressive increase in the frequency of sleep disturbances in PD, with the number of subjects reporting multiple sleep disturbances increasing over time. Relatively a few patients reported multiple sleep disturbances, suggesting that they can have different pathogenesis. A large number of patients were not treated for their sleep disturbances. Electronic supplementary material The online version of this article (10.1007/s00415-020-10140-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Zheyu Xu
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore.,Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Kirstie N Anderson
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Seyed Ehsan Saffari
- Centre for Quantitative Medicine, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Rachael A Lawson
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - K Ray Chaudhuri
- Parkinson Foundation International Centre of Excellence at Kings' College Hospital, Denmark Hill, London, UK.,Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
| | - David Brooks
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.,Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Nicola Pavese
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK. .,Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark. .,Clinical Ageing Research Unit, Newcastle University, Campus for Ageing and Vitality, Westgate Road, Newcastle upon Tyne, NE4 5PL, UK.
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37
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Fantini ML, Fedler J, Pereira B, Weintraub D, Marques A, Durif F. Is Rapid Eye Movement Sleep Behavior Disorder a Risk Factor for Impulse Control Disorder in Parkinson Disease? Ann Neurol 2020; 88:759-770. [DOI: 10.1002/ana.25798] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 05/23/2020] [Accepted: 05/26/2020] [Indexed: 12/12/2022]
Affiliation(s)
- Maria Livia Fantini
- Neurology Department University Hospital Center Clermont‐Ferrand France
- Equipe d'Accueil 7280 Clermont Auvergne University Clermont‐Ferrand France
| | - Janel Fedler
- College of Public Health University of Iowa Iowa City Iowa USA
| | - Bruno Pereira
- Direction of Clinical Research and Innovation, Clinical Research Department University Hospital Center Clermont‐Ferrand France
| | - Daniel Weintraub
- Perelman School of Medicine at the University of Pennsylvania Philadelphia Pennsylvania USA
- Parkinson's Disease Research, Education and Clinical Center Philadelphia Veterans Affairs Medical Center Philadelphia Pennsylvania USA
| | - Ana‐Raquel Marques
- Neurology Department University Hospital Center Clermont‐Ferrand France
- Equipe d'Accueil 7280 Clermont Auvergne University Clermont‐Ferrand France
| | - Franck Durif
- Neurology Department University Hospital Center Clermont‐Ferrand France
- Equipe d'Accueil 7280 Clermont Auvergne University Clermont‐Ferrand France
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38
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Hermann W, Schmitz-Peiffer H, Kasper E, Fauser M, Franke C, Wienecke M, Otto K, Löhle M, Brandt MD, Reichmann H, Storch A. Sleep Disturbances and Sleep Disordered Breathing Impair Cognitive Performance in Parkinson's Disease. Front Neurosci 2020; 14:689. [PMID: 32903712 PMCID: PMC7438827 DOI: 10.3389/fnins.2020.00689] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 06/05/2020] [Indexed: 01/30/2023] Open
Abstract
Background Sleep disturbances and impairment of cognitive function are among the most frequent non-motor symptoms in Parkinson’s disease (PD) with negative implications on quality of life of patients and caregivers. Despite the fact that sleep disturbances are a major issue in PD patients, only limited data are available regarding interactions of sleep disturbances and cognitive performance. Objective This post hoc analysis of the RaSPar trial was therefore designed to further elucidate sleep disturbances and their impact on cognition in PD. Methods Twenty-six PD patients with sleep disturbances were evaluated thoroughly including assessments of patients’ subjective and objective sleep quality by interview, questionnaires, and polysomnography (PSG). Cognitive performance was assessed by Parkinson Neuropsychometric Dementia Assessment (PANDA) and Test of Attentional Performance (TAP), and associations of sleep and cognitive function were evaluated. Results We did not detect differences in cognitive performance between patients with and without rapid eye movement (REM) sleep behavior disorder (RBD). Instead, cognitive impairment, particularly affecting cognitive domains attention, executive function/working memory, and semantic memory, was associated with impaired PSG-measured sleep quality (e.g., sleep efficiency) and sleep disordered breathing (SDB) (Apnea-Hypopnea Index > 5/h). Global cognitive performance was decreased in patients with SDB (PANDA score 23.2 ± 3.5 vs. 26.9 ± 2.2, P = 0.020, unpaired two-sided t-test). Conclusion Sleep apnea and other sleep disturbances impair cognitive performance in PD and should be evaluated in routine care, and treatment options such as continuous airway pressure therapy should be considered.
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Affiliation(s)
- Wiebke Hermann
- Department of Neurology, Technische Universität Dresden, Dresden, Germany.,Sleep Centre, Department of Neurology and Department of Internal Medicine, Technische Universität Dresden, Dresden, Germany.,Department of Neurology, University of Rostock, Rostock, Germany.,German Center for Neurodegenerative Diseases (DZNE), Research Site Rostock, Rostock, Germany
| | | | - Elisabeth Kasper
- Department of Neurology, University of Rostock, Rostock, Germany
| | - Mareike Fauser
- Department of Neurology, University of Rostock, Rostock, Germany
| | - Christiana Franke
- Department of Neurology, Technische Universität Dresden, Dresden, Germany
| | - Miriam Wienecke
- Department of Neurology, Technische Universität Dresden, Dresden, Germany.,Sleep Centre, Department of Neurology and Department of Internal Medicine, Technische Universität Dresden, Dresden, Germany
| | - Karolin Otto
- Department of Neurology, Technische Universität Dresden, Dresden, Germany
| | - Matthias Löhle
- Department of Neurology, University of Rostock, Rostock, Germany.,German Center for Neurodegenerative Diseases (DZNE), Research Site Rostock, Rostock, Germany
| | - Moritz D Brandt
- Department of Neurology, Technische Universität Dresden, Dresden, Germany.,Sleep Centre, Department of Neurology and Department of Internal Medicine, Technische Universität Dresden, Dresden, Germany.,German Center for Neurodegenerative Diseases (DZNE), Research Site Dresden, Dresden, Germany
| | - Heinz Reichmann
- Department of Neurology, Technische Universität Dresden, Dresden, Germany
| | - Alexander Storch
- Department of Neurology, University of Rostock, Rostock, Germany.,German Center for Neurodegenerative Diseases (DZNE), Research Site Rostock, Rostock, Germany
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39
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Waser M, Stefani A, Holzknecht E, Kohn B, Hackner H, Brandauer E, Bergmann M, Taupe P, Gall M, Garn H, Högl B. Automated 3D video analysis of lower limb movements during REM sleep: a new diagnostic tool for isolated REM sleep behavior disorder. Sleep 2020; 43:5861319. [PMID: 32573731 PMCID: PMC7658637 DOI: 10.1093/sleep/zsaa100] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 05/09/2020] [Indexed: 12/16/2022] Open
Abstract
STUDY OBJECTIVES The differentiation of isolated rapid eye movement (REM) sleep behavior disorder (iRBD) or its prodromal phase (prodromal RBD) from other disorders with motor activity during sleep is critical for identifying α-synucleinopathy in an early stage. Currently, definite RBD diagnosis requires video polysomnography (vPSG). The aim of this study was to evaluate automated 3D video analysis of leg movements during REM sleep as objective diagnostic tool for iRBD. METHODS A total of 122 participants (40 iRBD, 18 prodromal RBD, 64 participants with other disorders with motor activity during sleep) were recruited among patients undergoing vPSG at the Sleep Disorders Unit, Department of Neurology, Medical University of Innsbruck. 3D videos synchronous to vPSG were recorded. Lower limb movements rate, duration, extent, and intensity were computed using a newly developed software. RESULTS The analyzed 3D movement features were significantly increased in subjects with iRBD compared to prodromal RBD and other disorders with motor activity during sleep. Minor leg jerks with a duration < 2 seconds discriminated with the highest accuracy (90.4%) iRBD from other motor activity during sleep. Automatic 3D analysis did not differentiate between prodromal RBD and other disorders with motor activity during sleep. CONCLUSIONS Automated 3D video analysis of leg movements during REM sleep is a promising diagnostic tool for identifying subjects with iRBD in a sleep laboratory population and is able to distinguish iRBD from subjects with other motor activities during sleep. For future application as a screening, further studies should investigate usefulness of this tool when no information about sleep stages from vPSG is available and in the home environment.
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Affiliation(s)
- Markus Waser
- Competence Unit Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Ambra Stefani
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria,Corresponding author. Ambra Stefani, Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria.
| | - Evi Holzknecht
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Bernhard Kohn
- Competence Unit Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Heinz Hackner
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | | | - Melanie Bergmann
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Philip Taupe
- Competence Unit Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Markus Gall
- Competence Unit Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Heinrich Garn
- Competence Unit Sensing and Vision Solutions, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Birgit Högl
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
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40
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Feemster JC, Jung Y, Timm PC, Westerland SM, Gossard TR, Teigen LN, Buchal LA, Cattaneo EFD, Imlach CA, Mccarter SJ, Smith KL, Boeve BF, Silber MH, St Louis EK. Normative and isolated rapid eye movement sleep without atonia in adults without REM sleep behavior disorder. Sleep 2020; 42:5581967. [PMID: 31587043 DOI: 10.1093/sleep/zsz124] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 04/26/2019] [Indexed: 12/22/2022] Open
Abstract
STUDY OBJECTIVES Values for normative REM sleep without atonia (RSWA) remain unclear. Older age and male sex are associated with greater RSWA, and isolated elevated RSWA has been reported. We aimed to describe normative RSWA and characterize isolated RSWA frequency in adults without REM sleep behavior disorder (RBD). METHODS We visually quantified phasic, "any," and tonic RSWA in the submentalis (SM) and anterior tibialis (AT) muscles, and the automated Ferri REM Atonia Index during polysomnography in adults without RBD aged 21-88. We calculated RSWA percentiles across age and sex deciles and compared RSWA in older (≥ 65) versus younger (<65) men and women. Isolated RSWA (exceeding diagnostic RBD cutoffs, or >95th percentile) frequency was also determined. RESULTS Overall, 95th percentile RSWA percentages were SM phasic, any, tonic = 8.6%, 9.1%, 0.99%; AT phasic and "any" = 17.0%; combined SM/AT phasic, "any" = 22.3%, 25.5%; and RAI = 0.85. Most phasic RSWA burst durations were ≤1.0 s (85th percentiles: SM = 1.07, AT = 0.86 seconds). Older men had significantly higher AT RSWA than older women and younger patients (all p < 0.04). Twenty-nine (25%, 18 men) had RSWA exceeding the cohort 95th percentile, while 17 (14%, 12 men) fulfilled diagnostic cutoffs for phasic or automated RBD RSWA thresholds. CONCLUSIONS RSWA levels are highest in older men, mirroring the demographic characteristics of RBD, suggesting that older men frequently have altered REM sleep atonia control. These data establish normative adult RSWA values and thresholds for determination of isolated RSWA elevation, potentially aiding RBD diagnosis and discussions concerning incidental RSWA in clinical sleep medicine practice.
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Affiliation(s)
- John C Feemster
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Youngsin Jung
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Paul C Timm
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Sarah M Westerland
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Thomas R Gossard
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Luke N Teigen
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Lauren A Buchal
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Elena F D Cattaneo
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Charlotte A Imlach
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Stuart J Mccarter
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Kevin L Smith
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Bradley F Boeve
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
| | - Michael H Silber
- Mayo Clinic Sleep Behavior and Neurophysiology Laboratory, Mayo Center for Sleep Medicine, Division of Pulmonary and Critical Care Medicine, Departments of Neurology and Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN
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Cesari M, Christensen JAE, Muntean ML, Mollenhauer B, Sixel-Döring F, Sorensen HBD, Trenkwalder C, Jennum P. A data-driven system to identify REM sleep behavior disorder and to predict its progression from the prodromal stage in Parkinson's disease. Sleep Med 2020; 77:238-248. [PMID: 32798136 DOI: 10.1016/j.sleep.2020.04.010] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 04/04/2020] [Accepted: 04/10/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVES To investigate electroencephalographic (EEG), electrooculographic (EOG) and micro-sleep abnormalities associated with rapid eye movement (REM) sleep behavior disorder (RBD) and REM behavioral events (RBEs) in Parkinson's disease (PD). METHODS We developed an automated system using only EEG and EOG signals. First, automatic macro- (30-s epochs) and micro-sleep (5-s mini-epochs) staging was performed. Features describing micro-sleep structure, EEG spectral content, EEG coherence, EEG complexity, and EOG energy were derived. All features were input to an ensemble of random forests, giving as outputs the probabilities of having RBD or not (P (RBD) and P (nonRBD), respectively). A patient was classified as having RBD if P (RBD)≥P (nonRBD). The system was applied to 107 de novo PD patients: 54 had normal REM sleep (PDnonRBD), 26 had RBD (PD + RBD), and 27 had at least two RBEs without meeting electromyographic RBD cut-off (PD + RBE). Sleep diagnoses were made with video-polysomnography (v-PSG). RESULTS Considering PDnonRBD and PD + RBD patients only, the system identified RBD with accuracy, sensitivity, and specificity over 80%. Among the features, micro-sleep instability had the highest importance for RBD identification. Considering PD + RBE patients, the ones who developed definite RBD after two years had significantly higher values of P (RBD) at baseline compared to the ones who did not. The former were distinguished from the latter with sensitivity and specificity over 75%. CONCLUSIONS Our method identifies RBD in PD patients using only EEG and EOG signals. Micro-sleep instability could be a biomarker for RBD and for proximity of conversion from RBEs, as prodromal RBD, to definite RBD in PD patients.
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Affiliation(s)
- Matteo Cesari
- Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.
| | - Julie A E Christensen
- Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark; Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet, Glostrup, Denmark
| | | | - Brit Mollenhauer
- Paracelsus-Elena Klinik, Kassel, Germany; Department of Neurology, University Medical Center, Goettingen, Germany
| | - Friederike Sixel-Döring
- Paracelsus-Elena Klinik, Kassel, Germany; Department of Neurology, Philipps University, Marburg, Germany
| | - Helge B D Sorensen
- Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark
| | | | - Poul Jennum
- Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet, Glostrup, Denmark
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Figorilli M, Marques AR, Meloni M, Zibetti M, Pereira B, Lambert C, Puligheddu M, Cicolin A, Lopiano L, Durif F, Fantini ML. Diagnosing REM sleep behavior disorder in Parkinson’s disease without a gold standard: a latent-class model study. Sleep 2020; 43:5815830. [DOI: 10.1093/sleep/zsz323] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 12/21/2019] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study Objectives
To ascertain whether current diagnostic criteria for REM sleep behavior disorder (RBD) are appropriate in patients with Parkinson’s disease (PD) consulting a movement disorder center, to evaluate the accuracy of REM sleep without atonia (RSWA) thresholds and determine the value of screening questionnaires to discriminate PD patients with RBD.
Methods
One hundred twenty-eight consecutive PD patients (M = 80; mean age: 65.6 ± 8.3 years) underwent screening questionnaires, followed by a sleep-focused interview and a full-night video-polysomnography (vPSG). Without a gold standard, latent class models (LCMs) were applied to create an unobserved (“latent”) variable. Sensitivity analysis was performed using RSWA cutoff derived from two visual scoring methods. Finally, we assessed the respective diagnostic performance of each diagnostic criterion for RBD and of the screening questionnaires.
Results
According to the best LCM-derived model, patients having either “history” or “video” with RSWA or alternatively showing both “history” and “video” without RSWA were classified as having RBD. Using both SINBAR and Montreal scoring methods, RSWA criterion showed the highest sensitivity while concomitant history of RBD and vPSG-documented behaviors, regardless to presence of RSWA, displayed the highest specificity. Currently recommended diagnostic threshold of RSWA was found to be optimal in our large cohort of PD patients. Both the RBD screening questionnaire (RBDSQ) and the RBD single question (RBD1Q) showed poor sensitivity and specificity.
Conclusions
Results of the best LCM for diagnosis of RBD in PD were consistent with the current diagnostic criteria. Moreover, RBD might be considered in those PD patients with both history and vPSG-documented dream enactment behaviors, but with RSWA values within the normal range.
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Affiliation(s)
- Michela Figorilli
- EA 7280, UFR Medicine, University of Clermont Auvergne, Clermont-Ferrand, France
- Sleep Disorder Center, Department of Public Health and Clinical and Molecular Medicine, University of Cagliari, Italy
| | - Ana R Marques
- EA 7280, UFR Medicine, University of Clermont Auvergne, Clermont-Ferrand, France
- Neurology Department, CHU Clermont-Ferrand, France
| | - Mario Meloni
- Sleep Disorder Center, Department of Public Health and Clinical and Molecular Medicine, University of Cagliari, Italy
| | | | | | | | - Monica Puligheddu
- Sleep Disorder Center, Department of Public Health and Clinical and Molecular Medicine, University of Cagliari, Italy
| | - Alessandro Cicolin
- Sleep Disorder Center, Department of Neuroscience, University of Turin, Italy
| | | | - Franck Durif
- EA 7280, UFR Medicine, University of Clermont Auvergne, Clermont-Ferrand, France
- Neurology Department, CHU Clermont-Ferrand, France
| | - Maria L Fantini
- EA 7280, UFR Medicine, University of Clermont Auvergne, Clermont-Ferrand, France
- Neurology Department, CHU Clermont-Ferrand, France
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Mastering nocturnal jigsaws in Parkinson's disease: a dusk-to-dawn review of night-time symptoms. J Neural Transm (Vienna) 2020; 127:763-777. [PMID: 32172472 DOI: 10.1007/s00702-020-02170-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 03/05/2020] [Indexed: 12/11/2022]
Abstract
Finding out about night-time symptoms from Parkinson's disease (PD) patients can be a challenge as many patients and their carers cannot recall many symptoms that occur during the night, resulting in an under-recognition or a large variability of responses from clinical interviews and scales. Moreover, technology-based assessments for most night-time symptoms are still not universally available for use in a patient's home environment. Therefore, most physicians rely on their clinical acumen to capture these night-time symptoms based on pieces of patients' history, bedpartner's reports, clinical features, associated symptoms or conditions. To capture more night-time symptoms, the authors identified common nocturnal symptoms based on how they manifest from dusk to dawn with selected features relevant to PD. While some symptoms occur in healthy individuals, in PD patients, they may impact differently. The authors intend this narrative review to provide a practical guide on how these common night-time symptoms manifest and highlight pertinent issues by focusing on prevalence, clinical symptomatology, and specific relationships to PD. It is also important to recognise that PD-specific sleep disturbances increase with advancing disease with additional contributions from ageing, comorbidities, and medication side effects. However, the relative contribution of each factor to individual symptom may be different in individual patient, necessitating clinical expertise for individual interpretation. While there are debatable issues in certain areas, they underlie the complexity of night-time symptoms. Understanding night-time symptoms in PD is like re-arranging jigsaw pieces of clinical information to create, but never complete, a picture for physicians to instigate appropriate management.
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Hugh-Jones ME, Peele RH, Wilson VL. Parkinson's Disease in Louisiana, 1999-2012: Based on Hospital Primary Discharge Diagnoses, Incidence, and Risk in Relation to Local Agricultural Crops, Pesticides, and Aquifer Recharge. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17051584. [PMID: 32121433 PMCID: PMC7084317 DOI: 10.3390/ijerph17051584] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 02/26/2020] [Accepted: 02/27/2020] [Indexed: 12/16/2022]
Abstract
The two major causes of Parkinson’s disease (PD) are genetic susceptibility and exposure to agricultural pesticides. Access to 23,224 individuals’ hospital primary discharge diagnoses of PD allowed the mapping of cases against known crop distributions and pesticides. Our main objective was to map PD risks (cases per 10,000 people) against crops and their pesticides. The ZIP Code address locations, and the 2000 and 2010 census data, were used to map the risks of PD throughout Louisiana and in relation to United States Department of Agriculture (USDA)-recorded crops. The introduction of glyphosate-resistant crops appears to have initiated the PD disappearance from northeastern parishes on the west bank of the Mississippi river. Rice and sugar cane are seemingly unassociated with PD, as is the Mississippi itself, except for Jefferson and St. Charles Parishes, which are essentially urban or industrial. The present major PD-affected areas are associated with commercial forests, woodlands, and pastures, and thus with certain arbor-pastoral pesticides, 2,4-D, chlorpyrifos, and paraquat. Human populations at maximum risk are those living in areas of moderate and high aquifer-recharge potential. The levels of estimated pesticide exposure in these recharge areas we were able to access were of variable use, but significant amounts of 2,4-D were being used.
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Affiliation(s)
- Martin E. Hugh-Jones
- Department of Environmental Sciences, College of the Coast & Environment, Louisiana State University, Baton Rouge, LA 70803, USA;
- Correspondence:
| | - R. Hampton Peele
- Cartographic Section, Louisiana Geological Survey, Louisiana State University, Baton Rouge, LA 70803, USA;
| | - Vincent L. Wilson
- Department of Environmental Sciences, College of the Coast & Environment, Louisiana State University, Baton Rouge, LA 70803, USA;
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Zhang Y, Ren R, Sanford LD, Yang L, Zhou J, Tan L, Li T, Zhang J, Wing YK, Shi J, Lu L, Tang X. Sleep in Parkinson's disease: A systematic review and meta-analysis of polysomnographic findings. Sleep Med Rev 2020; 51:101281. [PMID: 32135452 DOI: 10.1016/j.smrv.2020.101281] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Revised: 01/21/2020] [Accepted: 01/23/2020] [Indexed: 02/08/2023]
Abstract
Polysomnographic studies have been conducted to explore sleep changes in Parkinson's disease (PD), but the relationships between sleep disturbances and PD are imperfectly understood. We conducted a systematic review of the literature exploring polysomnographic differences between PD patients and controls in EMBASE, MEDLINE, All EBM databases, CINAHL, and PsycIFNO. 67 studies were identified for systematic review, 63 of which were used for meta-analysis. Meta-analyses revealed significant reductions in total sleep time, sleep efficiency, N2 percentage, slow wave sleep, rapid eye movement sleep (REM) percentage, and increases in wake time after sleep onset, N1 percentage, REM latency, apnea hypopnea index, and periodic limb movement index in PD patients compared with controls. There were no remarkable differences in sleep continuity or sleep architecture between PD patients with and without REM sleep behavior disorder (RBD). Our study suggests that PD patients have poor sleep quality and quantity. Sex, age, disease duration, presence of RBD, medication status, cognitive impairment, and adaptation night are factors that contributed to heterogeneity between studies.
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Affiliation(s)
- Ye Zhang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Rong Ren
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Larry D Sanford
- Sleep Research Laboratory, Center for Integrative Neuroscience and Inflammatory Diseases, Department of Pathology and Anatomy, Eastern Virginia Medical School, Norfolk, VA, USA.
| | - Linghui Yang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Junying Zhou
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Lu Tan
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Taomei Li
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Jihui Zhang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Yun-Kwok Wing
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Jie Shi
- National Institute on Drug Dependence, Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Lin Lu
- National Institute on Drug Dependence, Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Xiangdong Tang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
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Figorilli M, Marques AR, Vidal T, Delaby L, Meloni M, Pereira B, Lambert C, Puligheddu M, Durif F, Fantini ML. Does REM sleep behavior disorder change in the progression of Parkinson's disease? Sleep Med 2020; 68:190-198. [PMID: 32044557 DOI: 10.1016/j.sleep.2019.12.013] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 12/13/2019] [Accepted: 12/20/2019] [Indexed: 11/26/2022]
Abstract
OBJECTIVES/BACKGROUND Rapid eye movement (REM) Sleep Behavior Disorder (RBD) in Parkinson's disease (PD) may be associated with a malignant phenotype. Despite its prognostic value, little is known about the time course of RBD in PD. In this study, we aimed to ascertain whether or not RBD is a stable feature in PD. In this study, we prospectively evaluated clinical and neurophysiological features of RBD, including REM Sleep Without Atonia (RSWA), in PD patients with RBD at baseline and after three years then assessed whether the changes in measures of RSWA parallel the progression of PD. PATIENTS/METHODS In sum, 22 (17M, mean age 64.0 ± 6.9 years) moderate-to-advanced PD patients (mean PD duration at baseline:7.6±4.8 years) with RBD, underwent a video-polysomnography (vPSG) recording and clinical and neuropsychological assessment at baseline and after three years. RESULTS At follow-up, the self-assessed frequency of RBD symptoms increased in six patients, decreased in six and remained stable in 10, while RSWA measures significantly increased in all subjects. At follow-up, patients showed worse H&Y stage (p = 0.02), higher dopaminergic doses (p = 0.05) and they performed significantly worse in phonetic and semantic fluency tests (p = 0.02; p = 0.04). Changes in RSWA correlated significantly with the severity in levodopa-induced dyskinesia (r = 0.61,p = 0.05) and motor fluctuation (r = 0.54,p = 0.03) scores, and with the worsening of executive functions (r = 0.78,p = 0.001) and visuo-spatial perception (r = -0.57,p = 0.04). CONCLUSION Despite the subjective improvement of RBD symptoms in one-fourth of PD patients, all RSWA measures increased significantly at follow-up, and their changes correlated with the clinical evolution of motor and non-motor symptoms. RBD is a long-lasting feature in PD and RSWA is a marker of the disease's progression.
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Affiliation(s)
- M Figorilli
- EA 7280, UFR Medicine, University of Clermont Auvergne, Clermont-Ferrand, France; Sleep Disorder Center, Dept of Public Health & Clinical and Molecular Medicine. University of Cagliari, Italy
| | - A R Marques
- EA 7280, UFR Medicine, University of Clermont Auvergne, Clermont-Ferrand, France; Neurology Department, CHU, Clermont-Ferrand, France
| | - T Vidal
- CMRR, CHU, Clermont-Ferrand, France
| | - L Delaby
- CMRR, CHU, Clermont-Ferrand, France
| | - M Meloni
- Sleep Disorder Center, Dept of Public Health & Clinical and Molecular Medicine. University of Cagliari, Italy
| | - B Pereira
- Biostatistics Unit (DRCI), CHU, Clermont-Ferrand, France
| | - C Lambert
- Biostatistics Unit (DRCI), CHU, Clermont-Ferrand, France
| | - M Puligheddu
- Sleep Disorder Center, Dept of Public Health & Clinical and Molecular Medicine. University of Cagliari, Italy
| | - F Durif
- EA 7280, UFR Medicine, University of Clermont Auvergne, Clermont-Ferrand, France; Neurology Department, CHU, Clermont-Ferrand, France
| | - M L Fantini
- EA 7280, UFR Medicine, University of Clermont Auvergne, Clermont-Ferrand, France; Neurology Department, CHU, Clermont-Ferrand, France.
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Stefani A, Högl B. Sleep in Parkinson's disease. Neuropsychopharmacology 2020; 45:121-128. [PMID: 31234200 PMCID: PMC6879568 DOI: 10.1038/s41386-019-0448-y] [Citation(s) in RCA: 90] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 05/26/2019] [Accepted: 06/13/2019] [Indexed: 11/09/2022]
Abstract
Sleep disturbances are common in Parkinson's disease and comprise the entire spectrum of sleep disorders. On the one hand regulation of sleep and wakefulness is affected in Parkinson's disease, leading to the development of disorders, such as insomnia and daytime sleepiness. While on the other hand control of motor activity during sleep is impaired, with subsequent manifestation of parasomnias (mainly REM sleep behavior disorders, but also, albeit more rarely, sleepwalking, and overlap parasomnia). Restless legs syndrome has been reported to be frequent in patients with Parkinson's disease, although there is no consensus on whether it is more frequent in Parkinson's disease than in the general population. The same is true for sleep-related breathing disorders. Regarding the diagnosis of sleep disorders in patients with Parkinson's disease, one of the main challenges is correctly identifying excessive daytime sleepiness as there are many potential confounding factors, for example it is necessary to distinguish sleep-related breathing disorders from medication effects, and to distinguish restless legs syndrome from the concomitant presence of potential mimics specific to Parkinson's disease, such as akathisia, nocturnal leg cramps, nocturnal hypokinesia, early morning dystonia, etc. The correct diagnosis of REM sleep behavior disorder is also not always easy, and video-polysomnography should be performed in order to exclude mimic-like movements at the end of sleep apneas or violent periodic leg movements of sleep. These aspects and specific considerations about diagnosis and treatment of sleep disorders in patients with Parkinson's disease will be reviewed.
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Affiliation(s)
- Ambra Stefani
- Department of Neurology, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
| | - Birgit Högl
- Department of Neurology, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
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Högl B, Santamaria J, Iranzo A, Stefani A. Precision Medicine in Rapid Eye Movement Sleep Behavior Disorder. Sleep Med Clin 2019; 14:351-362. [DOI: 10.1016/j.jsmc.2019.04.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Fernández-Arcos A, Morenas-Rodríguez E, Santamaria J, Sánchez-Valle R, Lladó A, Gaig C, Lleó A, Iranzo A. Clinical and video-polysomnographic analysis of rapid eye movement sleep behavior disorder and other sleep disturbances in dementia with Lewy bodies. Sleep 2019; 42:5427895. [DOI: 10.1093/sleep/zsz086] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 02/19/2019] [Indexed: 02/06/2023] Open
Abstract
Abstract
Objective
The main objective of this study was to study rapid eye movement (REM) sleep behavior disorder (RBD) and other sleep disorders in dementia with Lewy bodies (DLB).
Methods
Consecutive patients with DLB and mild dementia severity were recruited irrespective of sleep complaints. Patients underwent clinical interview, assessment of sleep scales, and video-polysomnography (V-PSG). RBD was diagnosed with V-PSG based on electromyographic and audiovisual analysis.
Results
Thirty-five patients (65.7% men; mean age 77.7 ± 6.1 years) were evaluated. Poor sleep quality (54.3%), hypersomnia (37.1%), snoring (60%), and abnormal nocturnal behaviors (77.1%) were reported. Sleep–wake architecture abnormalities occurred in 75% patients and consisted of occipital slowing on awake electroencephalography (EEG; 34.4%), the absence of sleep spindles and K complexes (12.9%), slow frequency sleep spindles (12.9%), delta activity in REM sleep (19.2%), and REM sleep without atonia (44%). Three patients showed hallucinatory-like behaviors and 10 patients showed abnormal behaviors during arousals mimicking RBD. RBD was diagnosed in 50% of those patients in whom sufficient REM sleep was attained. Of these, 72.7% were not aware of displaying dream-enacting behaviors and in 63.7% RBD preceded the onset of cognitive impairment. For RBD diagnosis, the sensitivity of Mayo Sleep Questionnaire was 50%, specificity was 66.7%, positive predictive value was 83.3%, and negative predictive value was 28%. False-positive RBD cases according to clinical history had hallucinatory-like behaviors, severe obstructive sleep apnea, and prominent periodic limb movements in sleep. Occipital EEG frequency while awake and rate of electromyographic activity in REM sleep were negatively correlated, suggesting a common subcortical origin.
Conclusion
In DLB, RBD and sleep–wake disorders are common, heterogeneous, and complex, challenging their identification without performing V-PSG.
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Affiliation(s)
- Ana Fernández-Arcos
- Neurology Service, Multidisciplinary Sleep Unit, Hospital Clinic de Barcelona, IDIBAPS, CIBERNED, Universitat de Barcelona, Barcelona, Spain
| | - Estrella Morenas-Rodríguez
- Neurology Service, Memory Unit, Hospital de la Santa Creu i Sant Pau, Institut d’Investigacions Biomediques Sant Pau, CIBERNED, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Joan Santamaria
- Neurology Service, Multidisciplinary Sleep Unit, Hospital Clinic de Barcelona, IDIBAPS, CIBERNED, Universitat de Barcelona, Barcelona, Spain
| | - Raquel Sánchez-Valle
- Neurology Service, Alzheimer Disease and Other Cognitive Disorders Unit, Hospital Clinic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Albert Lladó
- Neurology Service, Alzheimer Disease and other Cognitive Disorders Unit, IDIBAPS, Hospital Clinic de Barcelona, Spain
| | - Carles Gaig
- Neurology Service, Multidisciplinary Sleep Unit, Hospital Clinic de Barcelona, IDIBAPS, CIBERNED, Universitat de Barcelona, Barcelona, Spain
| | - Alberto Lleó
- Neurology Service, Memory Unit, Hospital de la Santa Creu i Sant Pau, Institut d’Investigacions Biomediques Sant Pau, CIBERNED, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alex Iranzo
- Neurology Service, Multidisciplinary Sleep Unit, Hospital Clinic de Barcelona, IDIBAPS, CIBERNED, Universitat de Barcelona, Barcelona, Spain
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