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Wang Y, Liu J, Gao F, Xie W, Chen J, Gu H, Wang F, Zhong C, Li K, Zhuang S, Cheng X, Jin H, Zhang J, Mao C, Liu C. Lack variation of low slow-wave activity over time in the frontal region in NREM sleep may be associated with dyskinesia in Parkinson's disease. CNS Neurosci Ther 2024; 30:e70058. [PMID: 39370848 PMCID: PMC11456717 DOI: 10.1111/cns.70058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 08/31/2024] [Accepted: 09/08/2024] [Indexed: 10/08/2024] Open
Abstract
OBJECTIVE Levodopa-induced dyskinesia (DYS) adversely affects the quality of life of Parkinson's disease (PD) patients. However, few studies have focused on the relationship between DYS and sleep and electroencephalography (EEG). Our study aimed to establish the objective physiological indicators assessed by polysomnography (PSG) that are associated with DYS in PD patients. METHODS We enrolled 122 patients with PD, divided into two groups: PD with DYS (n = 27) and PD without DYS group (non-DYS, n = 95). The demographics and clinical characteristics and sleep assessment in the two groups were collected. More importantly, overnight six-channel PSG parameters were compared in the two groups. We also compared different bands and brain regions of average power spectral density within each group. RESULTS Compared with the non-DYS group, the DYS group tended to have a significantly higher percentage of nonrapid eye movement sleep (NREM). Gender, levodopa equivalent daily dose (LEDD), rapid eye movement (REM) sleep (min), and the NREM percentage were positively correlated with the occurrence of DYS. After adjusting for gender, disease duration, LEDD, taking amantadine or not, and Montreal Cognitive Assessment (MoCA), NREM%, N3%, and REM (min), the percentage of NREM sleep (p = 0.035), female (p = 0.002), and LEDD (p = 0.005), and REM sleep time (min) (p = 0.012) were still associated with DYS. There was no significant difference in whole-night different bands of average power spectral density between two groups. There was no significant difference in normalized average power spectral density of slow wave activity (SWA) (0.5-2 Hz, 0.5-4 Hz, and 2-4 Hz) of early and late NREM sleep in the DYS group. Dynamic normalized average power spectral density of SWA of low-frequency (0.5-2 Hz) reduction in the frontal region (p = 0.013) was associated with DYS in logistic regression after adjusting for confounding factors. CONCLUSION PD patients with DYS have substantial sleep structure variations. Higher NREM percentage and less REM percentage were observed in PD patients with DYS. Dynamic normalized average power spectral density of low-frequency (0.5-2 Hz) SWA reduction in the frontal area could be a new electrophysiological marker of DYS in PD.
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Affiliation(s)
- Yi‐Ming Wang
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Jun‐Yi Liu
- Department of NeurologyDu Shu Lake Hospital Affiliated to Soochow UniversitySuzhouChina
| | - Fan Gao
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Wei‐ye Xie
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Jing Chen
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Han‐Ying Gu
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Fen Wang
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of NeuroscienceSoochow UniversitySuzhouChina
| | - Chong‐Ke Zhong
- Department of Epidemiology, School of Public HealthMedical College of Soochow UniversitySuzhouChina
| | - Kai Li
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Sheng Zhuang
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Xiao‐Yu Cheng
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Hong Jin
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Jin‐Ru Zhang
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Cheng‐Jie Mao
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Chun‐Feng Liu
- Department of Neurology and Clinical Research Center of Neurological DiseaseThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of NeuroscienceSoochow UniversitySuzhouChina
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Duan X, Liu H, Hu X, Yu Q, Kuang G, Liu L, Zhang S, Wang X, Li J, Yu D, Huang J, Wang T, Lin Z, Xiong N. Insomnia in Parkinson's Disease: Causes, Consequences, and Therapeutic Approaches. Mol Neurobiol 2024:10.1007/s12035-024-04400-4. [PMID: 39103716 DOI: 10.1007/s12035-024-04400-4] [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: 12/09/2023] [Accepted: 07/24/2024] [Indexed: 08/07/2024]
Abstract
Sleep disorders represent prevalent non-motor symptoms in Parkinson's disease (PD), affecting over 90% of the PD population. Insomnia, characterized by difficulties in initiating and maintaining sleep, emerges as the most frequently reported sleep disorder in PD, with prevalence rates reported from 27 to 80% across studies. Insomnia not only significantly impacts the quality of life of PD patients but is also associated with cognitive impairment, motor disabilities, and emotional deterioration. This comprehensive review aims to delve into the mechanisms underlying insomnia in PD, including neurodegenerative changes, basal ganglia beta oscillations, and circadian rhythms, to gain insights into the neural pathways involved. Additionally, the review explores the risk factors and comorbidities associated with insomnia in PD, providing valuable insights into its management. Special attention is given to the challenges faced by healthcare providers in delivering care to PD patients and the impact of caregiving roles on patients' quality of life. Overall, this review provides a comprehensive understanding of insomnia in PD and highlights the importance of addressing this common sleep disorder in PD patients.
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Affiliation(s)
- Xiaoyu Duan
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Duke Kunshan University, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu, China
| | - Hanshu Liu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xinyu Hu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Qinwei Yu
- Department of Neurology, Wuhan Red Cross Hospital, 392 Hongkong Road, Wuhan, Hubei, China
| | - Guiying Kuang
- Department of Neurology, Wuhan Red Cross Hospital, 392 Hongkong Road, Wuhan, Hubei, China
| | - Long Liu
- Department of Neurology, Wuhan Red Cross Hospital, 392 Hongkong Road, Wuhan, Hubei, China
| | - Shurui Zhang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xinyi Wang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jingwen Li
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Danfang Yu
- Department of Neurology, Wuhan Red Cross Hospital, 392 Hongkong Road, Wuhan, Hubei, China
| | - Jinsha Huang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Tao Wang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Zhicheng Lin
- Laboratory of Psychiatric Neurogenomics, McLean Hospital, Harvard Medical School, Belmont, MA, 02478, USA
| | - Nian Xiong
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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Yalçin M, Peralta AR, Bentes C, Silva C, Guerreiro T, Ferreira JJ, Relógio A. Molecular characterization of the circadian clock in patients with Parkinson's disease-CLOCK4PD Study protocol. PLoS One 2024; 19:e0305712. [PMID: 39028707 PMCID: PMC11259294 DOI: 10.1371/journal.pone.0305712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 06/02/2024] [Indexed: 07/21/2024] Open
Abstract
INTRODUCTION Circadian rhythms (CRs) orchestrate intrinsic 24-hour oscillations which synchronize an organism's physiology and behaviour with respect to daily cycles. CR disruptions have been linked to Parkinson's Disease (PD), the second most prevalent neurodegenerative disorder globally, and are associated to several PD-symptoms such as sleep disturbances. Studying molecular changes of CR offers a potential avenue for unravelling novel insights into the PD progression, symptoms, and can be further used for optimization of treatment strategies. Yet, a comprehensive characterization of the alterations at the molecular expression level for core-clock and clock-controlled genes in PD is still missing. METHODS AND ANALYSIS The proposed study protocol will be used to characterize expression profiles of circadian genes obtained from saliva samples in PD patients and controls. For this purpose, 20 healthy controls and 70 PD patients will be recruited. Data from clinical assessment, questionnaires, actigraphy tracking and polysomnography will be collected and clinical evaluations will be repeated as a follow-up in one-year time. We plan to carry out sub-group analyses considering several clinical factors (e.g., biological sex, treatment dosages, or fluctuation of symptoms), and to correlate reflected changes in CR of measured genes with distinct PD phenotypes (diffuse malignant and mild/motor-predominant). Additionally, using NanoStringⓇ multiplex technology on a subset of samples, we aim to further explore potential CR alterations in hundreds of genes involved in neuropathology pathways. DISCUSSION CLOCK4PD is a mono-centric, non-interventional observational study aiming at the molecular characterization of CR alterations in PD. We further plan to determine physiological modifications in sleep and activity patterns, and clinical factors correlating with the observed CR changes. Our study may provide valuable insights into the intricate interplay between CR and PD with a potential to be used as a predictor of circadian alterations reflecting distinct disease phenotypes, symptoms, and progression outcomes.
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Affiliation(s)
- Müge Yalçin
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology, and Tumour Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Ana Rita Peralta
- EEG/Sleep Laboratory, Department Neurosciences and Mental Health, Unidade Local de Saude Santa Maria—ULSSM, Lisbon, Portugal
- Department of Neurology, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
- Instituto de Fisiologia, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
- CNS-Campus Neurológico, Torres Vedras, Portugal
- Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Carla Bentes
- EEG/Sleep Laboratory, Department Neurosciences and Mental Health, Unidade Local de Saude Santa Maria—ULSSM, Lisbon, Portugal
- Department of Neurology, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
- Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | | | - Tiago Guerreiro
- LASIGE, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Joaquim J. Ferreira
- Department of Neurology, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
- CNS-Campus Neurológico, Torres Vedras, Portugal
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
- Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Angela Relógio
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology, and Tumour Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
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Baumann CR, Schreiner SJ. Rapid eye movement sleep, the Swiss army knife in neurodegenerative disease? Sleep 2024; 47:zsae082. [PMID: 38700486 DOI: 10.1093/sleep/zsae082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Indexed: 05/05/2024] Open
Affiliation(s)
- Christian R Baumann
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
- Center of Competence "Sleep&Health," University of Zurich, Zurich, Switzerland
| | - Simon J Schreiner
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
- Center of Competence "Sleep&Health," University of Zurich, Zurich, Switzerland
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Mi W, Meng M, Xu F, Sun L. Efficacy of acupuncture as adjunct therapy for sleep disorders in Parkinson's disease: A systematic review and meta-analysis. Complement Ther Med 2024; 82:103044. [PMID: 38679147 DOI: 10.1016/j.ctim.2024.103044] [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: 10/18/2023] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 05/01/2024] Open
Abstract
OBJECTIVE The purpose of this study was to summarize existing clinical studies through a systematic review to explore the efficacy of acupuncture in treating sleep disorders in PD patients. METHODS According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we retrieved the papers through 30 April 2023 from eight databases. The experimental group was treated with acupuncture plus conventional therapy, while the control group was treated with conventional therapy alone or combined with sham acupuncture. The sleep quality was the primary outcome. A team of researchers meticulously performed literature screening, data extraction and risk of bias assessment following the Cochrane Handbook. A meta-analysis was synthesized using Review Manager Version 5.4 software if feasible. The quality of the evidence was assessed by the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) tool. RESULTS A total of 973 papers were identified, with 15 papers involving 957 patients were included in this systematic review. The results showed that acupuncture interventions included manual acupuncture, electroacupuncture, moxibustion and bleeding, with 1-7 times every week implemented during 2-12 weeks. Acupuncture as an adjunct therapy compared to conventional therapy alone showed better effect in sleep quality and overall symptoms of PD. Risk of bias assessment showed deficiencies in blinding and allocation concealment. All included studies were synthesized in a meta-analysis, as the result of which, acupuncture improved PDSS scores(MD =16.57; 95% CI, 7.24-25.90; I2 = 97%) and effective rate for sleep disorders (OR = 5.91; 95% CI, 1.71-20.39; I2 = 54%); meanwhile, acupuncture reduced UPDRS scores(MD = -4.29; 95% CI, -6.54 - -2.03; I2 = 77%) and improved effective rate for PD (OR = 3.22; 95% CI, 1.81-5.72; I2 = 0%). The quality of evidence ranged from low to moderate by GRADE. CONCLUSION This study provides initial evidence that acupuncture as an adjunct therapy might be associated with improvement of sleep disorders in PD. Due to the lack of high-quality studies, larger sample size studies with sham acupuncture groups should be conducted in future. REGISTRATION NUMBER CRD42022364249 (PROSPERO).
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Affiliation(s)
- Wenjing Mi
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, No.16369 Jingshi Road, Lixia District, Jinan, Shandong 250014, China
| | - Miaomiao Meng
- Department of Neurology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, No.16369 Jingshi Road, Lixia District, Jinan, Shandong 250014, China
| | - Fenghua Xu
- Department of Neurology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, No.16369 Jingshi Road, Lixia District, Jinan, Shandong 250014, China.
| | - Lingzhi Sun
- Department of Neurology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, No.16369 Jingshi Road, Lixia District, Jinan, Shandong 250014, China.
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Shafiq MA, Singh J, Khan ZA, Neary JP, Bardutz HA. Effect of exercise on sleep quality in Parkinson's disease: a mini review. BMC Neurol 2024; 24:49. [PMID: 38291381 PMCID: PMC10826022 DOI: 10.1186/s12883-024-03548-9] [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: 11/09/2023] [Accepted: 01/24/2024] [Indexed: 02/01/2024] Open
Abstract
The growing incidence of Parkinson's Disease (PD) is a major burden on the healthcare system. PD is caused by the degeneration of dopaminergic neurons and is known for its effects on motor function and sleep. Sleep is vital for maintaining proper homeostasis and clearing the brain of metabolic waste. Adequate time spent in each sleep stage can help maintain homeostatic function; however, patients with PD appear to exhibit sleep impairments. Although medications enhance the function of remaining dopaminergic neurons and reduce motor symptoms, their potential to improve sleep is still under question. Recently, research has shifted towards exercise protocols to help improve sleep in patients with PD. This review aims to provide an overview of how sleep is impaired in patients with PD, such as experiencing a reduction in time spent in slow-wave sleep, and how exercise can help restore normal sleep function. A PubMed search summarized the relevant research on the effects of aerobic and resistance exercise on sleep in patients with PD. Both high and low-intensity aerobic and resistance exercises, along with exercises related to balance and coordination, have been shown to improve some aspects of sleep. Neurochemically, sleeping leads to an increase in toxin clearance, including α-synuclein. Furthermore, exercise appears to enhance the concentration of brain-derived neurotrophic factors, which has preliminary evidence to suggest correlations to time spent in slow-wave sleep. More research is needed to further elucidate the physiological mechanism pertaining to sleep and exercise in patients with PD.
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Affiliation(s)
- M Abdullah Shafiq
- College of Medicine, University of Saskatchewan Regina Campus, 1440 14 Ave, Regina, SK, S4P 0W5, Canada
| | - Jyotpal Singh
- Faculty of Kinesiology and Health Studies, University of Regina, 3737 Wascana Pkwy, Regina, SK, S4S 0A2, Canada
| | - Zain A Khan
- Faculty of Kinesiology and Health Studies, University of Regina, 3737 Wascana Pkwy, Regina, SK, S4S 0A2, Canada
| | - J Patrick Neary
- Faculty of Kinesiology and Health Studies, University of Regina, 3737 Wascana Pkwy, Regina, SK, S4S 0A2, Canada
| | - Holly A Bardutz
- Faculty of Kinesiology and Health Studies, University of Regina, 3737 Wascana Pkwy, Regina, SK, S4S 0A2, Canada.
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Effects of melatonin prolonged-release on both sleep and motor symptoms in Parkinson’s disease: a preliminary evidence. Neurol Sci 2022; 43:5355-5362. [PMID: 35536495 PMCID: PMC9385777 DOI: 10.1007/s10072-022-06111-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 04/29/2022] [Indexed: 11/17/2022]
Abstract
Background Sleep-related symptoms, especially insomnia, are frequently reported by patients with Parkinson’s disease (PD) and can markedly affect motor symptoms and impair patients’ quality of life. Melatonin has been shown to improve sleep in PD patients. This pilot study aimed at evaluating the effects of a 3-month treatment with 2 mg melatonin prolonged-release (PR) on sleep and motor disability in PD patients. Materials and methods Twelve PD patients under stable antiparkinsonian treatment were enrolled in the study. Before treatment (T0), motor dysfunction was assessed with Unified Parkinson’s Disease Rating Scale (UPDRS-III) and sleep architecture with polysomnography. Subjective sleep quality was also assessed through Pittsburgh Sleep Quality Index (PSQI) and daytime somnolence with Epworth Sleepiness Scale (ESS). Patients then started melatonin PR and all measures were repeated at the end of treatment after 3 months (T1). Results Sleep latency significantly decreased from T0 to T1, but no other significant differences were found in PSG parameters. Melatonin PR treatment significantly reduced the ESS scores from T0 to T1, while the PSQI scores presented a trend of improvement from T0 to T1. Motor dysfunction was not improved by melatonin PR, although there was a trend in decreasing UPDRS-III. Both clinical global improvement and patient clinical global impression documented an improvement in insomnia symptoms at T1. Conclusions These findings suggest that melatonin may improve sleep symptoms in PD patients, although further evidence is needed in larger controlled studies to confirm these results and explore the possible direct and indirect influence of sleep improvement on motor dysfunction.
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Yalçin M, Mundorf A, Thiel F, Amatriain-Fernández S, Kalthoff IS, Beucke JC, Budde H, Garthus-Niegel S, Peterburs J, Relógio A. It's About Time: The Circadian Network as Time-Keeper for Cognitive Functioning, Locomotor Activity and Mental Health. Front Physiol 2022; 13:873237. [PMID: 35547585 PMCID: PMC9081535 DOI: 10.3389/fphys.2022.873237] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/08/2022] [Indexed: 12/24/2022] Open
Abstract
A variety of organisms including mammals have evolved a 24h, self-sustained timekeeping machinery known as the circadian clock (biological clock), which enables to anticipate, respond, and adapt to environmental influences such as the daily light and dark cycles. Proper functioning of the clock plays a pivotal role in the temporal regulation of a wide range of cellular, physiological, and behavioural processes. The disruption of circadian rhythms was found to be associated with the onset and progression of several pathologies including sleep and mental disorders, cancer, and neurodegeneration. Thus, the role of the circadian clock in health and disease, and its clinical applications, have gained increasing attention, but the exact mechanisms underlying temporal regulation require further work and the integration of evidence from different research fields. In this review, we address the current knowledge regarding the functioning of molecular circuits as generators of circadian rhythms and the essential role of circadian synchrony in a healthy organism. In particular, we discuss the role of circadian regulation in the context of behaviour and cognitive functioning, delineating how the loss of this tight interplay is linked to pathological development with a focus on mental disorders and neurodegeneration. We further describe emerging new aspects on the link between the circadian clock and physical exercise-induced cognitive functioning, and its current usage as circadian activator with a positive impact in delaying the progression of certain pathologies including neurodegeneration and brain-related disorders. Finally, we discuss recent epidemiological evidence pointing to an important role of the circadian clock in mental health.
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Affiliation(s)
- Müge Yalçin
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology, and Tumour Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Annakarina Mundorf
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Freya Thiel
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Sandra Amatriain-Fernández
- Institute for Systems Medicine and Faculty of Human Sciences, MSH Medical School Hamburg, Hamburg, Germany
| | - Ida Schulze Kalthoff
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Jan-Carl Beucke
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Henning Budde
- Institute for Systems Medicine and Faculty of Human Sciences, MSH Medical School Hamburg, Hamburg, Germany
| | - Susan Garthus-Niegel
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
- Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Department of Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway
| | - Jutta Peterburs
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Angela Relógio
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology, and Tumour Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
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Yalçin M, Malhan D, Basti A, Peralta AR, Ferreira JJ, Relógio A. A Computational Analysis in a Cohort of Parkinson's Disease Patients and Clock-Modified Colorectal Cancer Cells Reveals Common Expression Alterations in Clock-Regulated Genes. Cancers (Basel) 2021; 13:cancers13235978. [PMID: 34885088 PMCID: PMC8657387 DOI: 10.3390/cancers13235978] [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: 08/31/2021] [Revised: 11/18/2021] [Accepted: 11/21/2021] [Indexed: 12/13/2022] Open
Abstract
Simple Summary Cancer and neurodegenerative diseases are two aging-related pathologies with differential developmental characteristics, but they share altered cellular pathways. Interestingly, dysregulations in the biological clock are reported in both diseases, though the extent and potential consequences of such disruption have not been fully elucidated. In this study, we aimed at characterizing global changes on common cellular pathways associated with Parkinson’s disease (PD) and colorectal cancer (CRC). We used gene expression data retrieved from an idiopathic PD (IPD) patient cohort and from CRC cells with unmodified versus genetically altered clocks. Our results highlight common differentially expressed genes between IPD patients and cells with disrupted clocks, suggesting a role for the circadian clock in the regulation of pathways altered in both pathologies. Interestingly, several of these genes are related to cancer hallmarks and may have an impact on the overall survival of colon cancer patients, as suggested by our analysis. Abstract Increasing evidence suggests a role for circadian dysregulation in prompting disease-related phenotypes in mammals. Cancer and neurodegenerative disorders are two aging related diseases reported to be associated with circadian disruption. In this study, we investigated a possible effect of circadian disruption in Parkinson’s disease (PD) and colorectal cancer (CRC). We used high-throughput data sets retrieved from whole blood of idiopathic PD (IPD) patients and time course data sets derived from an in vitro model of CRC including the wildtype and three core-clock knockout (KO) cell lines. Several gene expression alterations in IPD patients resembled the expression profiles in the core-clock KO cells. These include expression changes in DBP, GBA, TEF, SNCA, SERPINA1 and TGFB1. Notably, our results pointed to alterations in the core-clock network in IPD patients when compared to healthy controls and revealed variations in the expression profile of PD-associated genes (e.g., HRAS and GBA) upon disruption of the core-clock genes. Our study characterizes changes at the transcriptomic level following circadian clock disruption on common cellular pathways associated with cancer and neurodegeneration (e.g., immune system, energy metabolism and RNA processing), and it points to a significant influence on the overall survival of colon cancer patients for several genes resulting from our analysis (e.g., TUBB6, PAK6, SLC11A1).
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Affiliation(s)
- Müge Yalçin
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany; (M.Y.); (D.M.); (A.B.)
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology, and Tumour Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany
| | - Deeksha Malhan
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany; (M.Y.); (D.M.); (A.B.)
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology, and Tumour Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, 20457 Hamburg, Germany
| | - Alireza Basti
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany; (M.Y.); (D.M.); (A.B.)
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology, and Tumour Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, 20457 Hamburg, Germany
| | - Ana Rita Peralta
- EEG/Sleep Laboratory, Department Neurosciences and Mental Health, Hospital de Santa Maria—CHULN, 1649-035 Lisbon, Portugal;
- Department of Neurology, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal
- Instituto de Fisiologia, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal
- CNS-Campus Neurológico Senior, 2560-280 Torres Vedras, Portugal;
| | - Joaquim J. Ferreira
- CNS-Campus Neurológico Senior, 2560-280 Torres Vedras, Portugal;
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal
- Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal
| | - Angela Relógio
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany; (M.Y.); (D.M.); (A.B.)
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology, and Tumour Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, 20457 Hamburg, Germany
- Correspondence: or
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10
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Berlot R, Kojović M. Variability of Movement Disorders: From Seasonal to Circadian Cycles and Coexisting Diseases. Mov Disord 2021; 36:2214-2215. [PMID: 34543465 DOI: 10.1002/mds.28737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 07/14/2021] [Indexed: 11/06/2022] Open
Affiliation(s)
- Rok Berlot
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Maja Kojović
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
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11
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Could New Generations of Sensors Reshape the Management of Parkinson’s Disease? CLINICAL AND TRANSLATIONAL NEUROSCIENCE 2021. [DOI: 10.3390/ctn5020018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Parkinson's disease (PD) is a chronic neurologic disease that has a great impact on the patient’s quality of life. The natural course of the disease is characterized by an insidious onset of symptoms, such as rest tremor, shuffling gait, bradykinesia, followed by improvement with the initiation of dopaminergic therapy. However, this “honeymoon period” gradually comes to an end with the emergence of motor fluctuations and dyskinesia. PD patients need long-term treatments and monitoring throughout the day; however, clinical examinations in hospitals are often not sufficient for optimal management of the disease. Technology-based devices are a new comprehensive assessment method of PD patient’s symptoms that are easy to use and give unbiased measurements. This review article provides an exhaustive overview of motor complications of advanced PD and new approaches to the management of the disease using sensors.
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12
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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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13
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Beckers M, Lees AJ, Nutt JG, Bloem BR. Turning Back the Clock in Parkinson's Disease: Practical Recommendations for Managing Diurnal Symptom Worsening. JOURNAL OF PARKINSONS DISEASE 2021; 11:1471-1473. [PMID: 33967059 DOI: 10.3233/jpd-212711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Milan Beckers
- Donders Institute for Brain, Cognition and Behavior, Department of Neurology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Andrew J Lees
- Reta Lila Weston Institute of Neurological Studies, University College London, London, UK
| | - John G Nutt
- Department of Neurology, School of Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Bastiaan R Bloem
- Donders Institute for Brain, Cognition and Behavior, Department of Neurology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
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14
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Mascheroni A, Choe EK, Luo Y, Marazza M, Ferlito C, Caverzasio S, Mezzanotte F, Kaelin-Lang A, Faraci F, Puiatti A, Ratti PL. The SleepFit Tablet Application for Home-Based Clinical Data Collection in Parkinson Disease: User-Centric Development and Usability Study. JMIR Mhealth Uhealth 2021; 9:e16304. [PMID: 34100767 PMCID: PMC8262669 DOI: 10.2196/16304] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 10/31/2020] [Accepted: 03/26/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Parkinson disease (PD) is a common, multifaceted neurodegenerative disorder profoundly impacting patients' autonomy and quality of life. Assessment in real-life conditions of subjective symptoms and objective metrics of mobility and nonmotor symptoms such as sleep disturbance is strongly advocated. This information would critically guide the adaptation of antiparkinsonian medications and nonpharmacological interventions. Moreover, since the spread of the COVID-19 pandemic, health care practices are being reshaped toward a more home-based care. New technologies could play a pivotal role in this new approach to clinical care. Nevertheless, devices and information technology tools might be unhandy for PD patients, thus dramatically limiting their widespread employment. OBJECTIVE The goals of the research were development and usability evaluation of an application, SleepFit, for ecological momentary assessment of objective and subjective clinical metrics at PD patients' homes, and as a remote tool for researchers to monitor patients and integrate and manage data. METHODS An iterative and user-centric strategy was employed for the development of SleepFit. The core structure of SleepFit consists of (1) an electronic finger-tapping test; (2) motor, sleepiness, and emotional subjective scales; and (3) a sleep diary. Applicable design, ergonomic, and navigation principles have been applied while tailoring the application to the specific patient population. Three progressively enhanced versions of the application (alpha, v1.0, v2.0) were tested by a total of 56 patients with PD who were asked to perform multiple home assessments 4 times per day for 2 weeks. Patient compliance was calculated as the proportion of completed tasks out of the total number of expected tasks. Satisfaction on the latest version (v2.0) was evaluated as potential willingness to use SleepFit again after the end of the study. RESULTS From alpha to v1.0, SleepFit was improved in graphics, ergonomics, and navigation, with automated flows guiding the patients in performing tasks throughout the 24 hours, and real-time data collection and consultation were made possible thanks to a remote web portal. In v2.0, the kiosk-mode feature restricts the use of the tablet to the SleepFit application only, thus preventing users from accidentally exiting the application. A total of 52 (4 dropouts) patients were included in the analyses. Overall compliance (all versions) was 88.89% (5707/6420). SleepFit was progressively enhanced and compliance increased from 87.86% (2070/2356) to 89.92% (2899/3224; P=.04). Among the patients who used v2.0, 96% (25/26) declared they would use SleepFit again. CONCLUSIONS SleepFit can be considered a state-of-the-art home-based system that increases compliance in PD patients, ensures high-quality data collection, and works as a handy tool for remote monitoring and data management in clinical research. Thanks to its user-friendliness and modular structure, it could be employed in other clinical studies with minimum adaptation efforts. TRIAL REGISTRATION ClinicalTrials.gov NCT02723396; https://clinicaltrials.gov/ct2/show/NCT02723396.
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Affiliation(s)
- Alessandro Mascheroni
- Institute of Information Systems and Networking, Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, Lugano, Switzerland
| | - Eun Kyoung Choe
- College of Information Studies, University of Maryland, College Park, MD, United States
| | - Yuhan Luo
- College of Information Studies, University of Maryland, College Park, MD, United States
| | - Michele Marazza
- Information & Communication Technology, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
| | - Clara Ferlito
- Neurocenter of Southern Switzerland, Lugano, Switzerland
| | | | | | - Alain Kaelin-Lang
- Neurocenter of Southern Switzerland, Lugano, Switzerland.,Faculty of Biomedical Sciences, University of Southern Switzerland, Lugano, Switzerland.,Medical School, University of Bern, Bern, Switzerland
| | - Francesca Faraci
- Institute of Information Systems and Networking, Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, Lugano, Switzerland
| | - Alessandro Puiatti
- Institute of Information Systems and Networking, Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, Lugano, Switzerland
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15
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Mc Carthy CE. Sleep Disturbance, Sleep Disorders and Co-Morbidities in the Care of the Older Person. Med Sci (Basel) 2021; 9:medsci9020031. [PMID: 34063838 PMCID: PMC8162526 DOI: 10.3390/medsci9020031] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 05/17/2021] [Accepted: 05/18/2021] [Indexed: 01/14/2023] Open
Abstract
Sleep complaints can be both common and complex in the older patient. Their consideration is an important aspect of holistic care, and may have an impact on quality of life, mortality, falls and disease risk. Sleep assessment should form part of the comprehensive geriatric assessment. If sleep disturbance is brought to light, consideration of sleep disorders, co-morbidity and medication management should form part of a multifaceted approach. Appreciation of the bi-directional relationship and complex interplay between co-morbidity and sleep in older patients is an important element of patient care. This article provides a brief overview of sleep disturbance and sleep disorders in older patients, in addition to their association with specific co-morbidities including depression, heart failure, respiratory disorders, gastro-oesophageal reflux disease, nocturia, pain, Parkinson's disease, dementia, polypharmacy and falls. A potential systematic multidomain approach to assessment and management is outlined, with an emphasis on non-pharmacological treatment where possible.
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Affiliation(s)
- Christine E. Mc Carthy
- Department of Geriatric Medicine, University Hospital Galway, Galway, Ireland;
- HRB-Clinical Research Facility, National University of Ireland, Galway, Co., Galway, Ireland
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Abstract
Background:Burning mouth syndrome (BMS) is a chronic and debilitating oral pain of the normal oral mucosa. It mainly affects women in their fifth to seventh decade. Its aetiopathogenesis remains unclear and is probably of multifactorial origin, with increasing evidence that BMS may be a neuropathic disorder. BMS is classified as an idiopathic (nociplastic) orofacial pain with or without somatosensory changes by International Classification of Orofacial Pain (ICOP 2020). The diagnosis of BMS, having excluded ‘oral burning mouth symptoms’, has evolved from basic intraoral exclusion screening to extensive clinical and laboratory investigations, which include the screening of comorbidities and other chronic pains and somatosensory testing. There is no standardised treatment in managing BMS, but a proposed combination of supportive and pharmacological treatment has been recommended.Aim:To review the current concepts of BMS definitions, classifications, aetiopathogenesis, diagnosis techniques, and evidence-based treatments in managing BMS patients.Conclusion:As BMS is a diagnosis by exclusion, thus a stratified approach is required for assessment of patients presenting BMS. A BMS diagnosis protocol is desired using a standardised screening to distinguish BMS from patient’s presenting with ‘oral burning symptoms’, and evaluation of comorbid chronic pain disorders or other medical comorbidities, which will include haematological, fungal, salivary flow, and qualitative sensory testing. Axis II and other additional quantitative sensory testing may further elucidate the causes of this condition. For future BMS prediction and prevention, will be based upon research on the relationship between other chronic pain disorders and familial history, environmental and genetic information.
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Affiliation(s)
- Huann Lan Tan
- King’s College London, London, UK
- Dentistry, The National University of Malaysia, Kuala Lumpur, Malaysia
| | - Tara Renton
- Dentistry, Oral & Craniofacial Science, King’s College London, London, UK
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Suzuki K, Fujita H, Okamura M, Kobayashi S, Hirata K. Does good sleep reduce early-morning off periods in patients with Parkinson’s disease? Sleep 2020; 43:5868351. [DOI: 10.1093/sleep/zsaa020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Keisuke Suzuki
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Hiroaki Fujita
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Madoka Okamura
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Saro Kobayashi
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Koichi Hirata
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
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Li L, Zhao Z, Ma J, Zheng J, Huang S, Hu S, Gu Q, Chen S. Elevated Plasma Melatonin Levels Are Correlated With the Non-motor Symptoms in Parkinson's Disease: A Cross-Sectional Study. Front Neurosci 2020; 14:505. [PMID: 32508583 PMCID: PMC7248560 DOI: 10.3389/fnins.2020.00505] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 04/22/2020] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Melatonin is the major hormone produced and secreted at night by the pineal gland into the cerebrospinal fluid (CSF) and circulation. The relationship between plasma melatonin levels and Parkinson's disease is not clear. The aim of the current study was to assess plasma melatonin levels in Parkinson's disease (PD) patients and to analysis the relationship between plasma melatonin levels and non-motor symptoms. PARTICIPANTS AND METHODS In this cross-sectional study, we evaluated 61 patients with idiopathic PD [males n = 30 (49.2%), average age 62.4 years (range: 46-73 years)] and a total of 58 healthy volunteers [males n = 30 (51.7%), average age 64.3 years (range: 45-70 years)] who participated in the study. Plasma melatonin levels were measured using an enzyme-linked immunosorbent assay. The severity of disease in PD patients was scored by the Unified Parkinson's Disease Rating Scale and the Hoehn and Yahr Staging scale. The quality of life in PD patients was assessed by the 39-item Parkinson's Disease Questionnaire. The non-motor symptoms were assessed by the 14-item Hamilton Anxiety Rating Scale, the 24-item Hamilton Depression Rating Scale, the Parkinson Disease Sleep Scale, the Epworth Sleepiness Scale and the Non-Motor Symptoms Scale for PD. RESULTS Compared with the healthy controls, the plasma melatonin levels were significantly higher in PD patients (12.82 ± 4.85 vs. 19.40 ± 4.23, P < 0.001). Plasma melatonin levels were significantly associated with the levodopa equivalent daily dose (r = -0.262, P < 0.05, n = 61). Higher plasma melatonin concentrations were detected in the negative cardiovascular symptom group than in the cardiovascular symptom group (20.13 ± 3.74 vs. 16.93 ± 3.74, P < 0.05). Higher plasma melatonin concentrations were detected in the non-sleep-disorders group than in the sleep disorders group (22.12 ± 5.93 vs. 18.86 ± 3.66, P < 0.05). In addition, the plasma melatonin concentration was higher in the group without gastrointestinal dysfunction than in the gastrointestinal dysfunction group (21.71 ± 4.44 vs. 18.35 ± 3.74, P < 0.05). CONCLUSION This study revealed that the plasma melatonin levels in PD patients were significantly higher than those in healthy controls. Non-motor symptoms that were significantly negatively correlated with plasma melatonin levels were cardiovascular symptoms, sleep disorders, and gastrointestinal dysfunction. Plasma melatonin levels have the closest relationship with sleep disorders. There was a correlation between plasma melatonin levels and sleep quality in patients with PD. The remaining non-motor symptoms were not related to plasma melatonin levels.
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Affiliation(s)
- Linyi Li
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, China
| | - Zhenxiang Zhao
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, China
| | - Jianjun Ma
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, China
| | - Jinhua Zheng
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, China
| | - Shen Huang
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, China
| | - Shiyu Hu
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Henan University, Zhengzhou, China
| | - Qi Gu
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, China
| | - Siyuan Chen
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, China
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Prediction of the Levodopa Challenge Test in Parkinson's Disease Using Data from a Wrist-Worn Sensor. SENSORS 2019; 19:s19235153. [PMID: 31775289 PMCID: PMC6928714 DOI: 10.3390/s19235153] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Revised: 11/11/2019] [Accepted: 11/12/2019] [Indexed: 12/25/2022]
Abstract
The response to levodopa (LR) is important for managing Parkinson’s Disease and is measured with clinical scales prior to (OFF) and after (ON) levodopa. The aim of this study was to ascertain whether an ambulatory wearable device could predict the LR from the response to the first morning dose. The ON and OFF scores were sorted into six categories of severity so that separating Parkinson’s Kinetigraph (PKG) features corresponding to the ON and OFF scores became a multi-class classification problem according to whether they fell below or above the threshold for each class. Candidate features were extracted from the PKG data and matched to the class labels. Several linear and non-linear candidate statistical models were examined and compared to classify the six categories of severity. The resulting model predicted a clinically significant LR with an area under the receiver operator curve of 0.92. This study shows that ambulatory data could be used to identify a clinically significant response to levodopa. This study has also identified practical steps that would enhance the reliability of this test in future studies.
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Rui Z, Qingling C, Xinyue Z, Xin Z, Weihong L. The related factors of sleep benefit in Parkinson's disease: A systematic review and meta-analysis. PLoS One 2019; 14:e0212951. [PMID: 30856190 PMCID: PMC6411108 DOI: 10.1371/journal.pone.0212951] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 02/12/2019] [Indexed: 11/20/2022] Open
Abstract
Background Sleep benefit (SB) refers to the poorly understood phenomenon in Parkinson’s disease (PD) in which patients wake up in the morning with improved motor function. Although previous studies have suggested that several related factors are associated with SB, this relationship remains controversial. Objective This systematic review and meta-analysis aimed to identify the possible related factors of SB in PD. Methods We searched PubMed, EMBASE and WanFang databases to collect eligible articles. We calculated pooled estimates of odds ratios (ORs) or the mean deviation (MD) with 95% confidence intervals. Results We found 3 related factors associated with SB: the duration of PD (MD 1.22, 95% CI: 0.21–2.23), sleep efficiency (MD -4.48,95% CI: -7.24- -2.44), and on-state MDS-UPDRS-Ⅲ total score (MD 3.05, 95% CI: 0.53–5.57). Conclusion PD patients with SB are more likely to have a long duration of PD, a low sleep efficiency and a high MDS-UPDRS-Ⅲ total score. Our work helps obtain a better understanding of sleep SB in PD and its underlying mechanisms. More studies need to be conducted to evaluate the associations between clinical factors in PD and the SB phenomenon.
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Affiliation(s)
- Zhong Rui
- Department of Neurology, The First Hospital of Jilin University, Chang Chun, Ji Lin Provence, China
| | - Chen Qingling
- Digestive Department, The First Hospital of Jilin University, Chang Chun, Ji Lin Provence, China
| | - Zhang Xinyue
- Department of Neurology, The First Hospital of Jilin University, Chang Chun, Ji Lin Provence, China
| | - Zhang Xin
- Department of Neurology, The First Hospital of Jilin University, Chang Chun, Ji Lin Provence, China
| | - Lin Weihong
- Department of Neurology, The First Hospital of Jilin University, Chang Chun, Ji Lin Provence, China
- * E-mail:
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Physical Activity, Fatigue, and Sleep in People with Parkinson's Disease: A Secondary per Protocol Analysis from an Intervention Trial. PARKINSONS DISEASE 2018; 2018:1517807. [PMID: 30258564 PMCID: PMC6146558 DOI: 10.1155/2018/1517807] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 05/16/2018] [Accepted: 07/05/2018] [Indexed: 11/17/2022]
Abstract
Symptoms of Parkinson's can result in low physical activity and poor sleep patterns which can have a detrimental effect on a person's quality of life. To date, studies looking into exercise interventions for people with Parkinson's (PwP) for symptom management are promising but inconclusive. The aim of this study is to estimate the effect of a clearly defined exercise prescription on general physical activity levels, fatigue, sleep, and quality of life in PwP. Method. PwP randomised into either an exercise group (29; 16 males, 13 females; mean age 67 years (7.12)) or a control handwriting group (36; 19 males; 17 females; mean age 67 years (5.88)) as part of a larger trial were included in this substudy if they had completed a 6-month weekly exercise programme (intervention group) and had complete objective physical activity data (intervention and control group). Sleep and fatigue were recorded from self-reported measures, and physical activity levels measured through the use of accelerometers worn 24 hours/day over a seven-day testing period at baseline and following the 24-week intervention. A Wilcoxon's test followed by a Mann-Whitney post hoc analysis was used, and effect sizes were calculated. Results. Participants showed a significant increase in time spent in sedentary and light activities during the overnight period postintervention in both exercise and handwriting groups (p < 0.05) with a moderate effect found for the change in sedentary and light activities in the overnight hours for both groups, over time (0.32 and 0.37-0.38, resp.). There was no impact on self-reported fatigue or sleep. Conclusion. The observed moderate effect on sedentary and light activities overnight could suggest an objective improvement in sleep patterns for individuals participating in both exercise and handwriting interventions. This supports the need for further studies to investigate the role of behavioural interventions for nonmotor symptoms.
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22
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Mao CJ, Xiong YT, Wang F, Yang YP, Yuan W, Zhu C, Chen J, Liu CF. Motor subtypes and other risk factors associated with drooling in Parkinson's disease patients. Acta Neurol Scand 2018; 137:509-514. [PMID: 29315470 DOI: 10.1111/ane.12893] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2017] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To explore the relationship between motor subtypes and drooling, and other risk factors associated with drooling in a large cohort of Chinese patients with Parkinson's disease (PD). METHODS A total of 586 PD patients were enrolled in this study. Unified Parkinson's disease rating scale (UPDRS) and Hoehn & Yahr stage (H & Y stage) scale, Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Hamilton Rating Scale for Depression-24 item (HRSD), and Mini-Mental State Examination (MMSE) were applied to all subjects. Salivary subscores of UPDRS part II were used to evaluate drooling. Constipation was diagnosed using the Rome III criteria. RESULTS The prevalence of drooling in this cohort is 54.6% (320/586). Non-TD subtype PD patients tend to have higher daily levodopa-equivalent dose (LED), H & Y stage, UPDRS I, UPDRS II, and UPDRS III scores, HRSD score and ESS score, a higher percentage of levodopa treatment, drooling, dyskinesia, and constipation. After adjusting for confounders, non-TD subtype, male sex, UPDRS III score, ESS and PSQI scores, and constipation were still associated with drooling, with corresponding Odds ratios and 95% confidence intervals (95% CIs) were 1.865 (95% CI, 1.137-3.060), 1. 951 (95% CI, 1.326-2.869), 1.024 (95% CI, 1.002-1.046), 1.064 (95% CI, 1.024-1.105), 1.058 (95% CI, 1.000-1.119), and 1.603 (95% CI, 1.092-2.353), respectively. CONCLUSION Drooling is common, even in mild-to-moderate PD patients. PD patients with non-TD subtype are at a higher risk of drooling. Male sex, motor severity, excessive daytime sleepiness, poor nighttime sleep, and constipation are also associated with drooling in patients with PD.
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Affiliation(s)
- C. J. Mao
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease; The Second Affiliated Hospital of Soochow University; Suzhou China
| | - Y. T. Xiong
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease; The Second Affiliated Hospital of Soochow University; Suzhou China
| | - F. Wang
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience; Soochow University; Suzhou China
| | - Y. P. Yang
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease; The Second Affiliated Hospital of Soochow University; Suzhou China
| | - W. Yuan
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease; The Second Affiliated Hospital of Soochow University; Suzhou China
| | - C. Zhu
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease; The Second Affiliated Hospital of Soochow University; Suzhou China
| | - J. Chen
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease; The Second Affiliated Hospital of Soochow University; Suzhou China
| | - C. F. Liu
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease; The Second Affiliated Hospital of Soochow University; Suzhou China
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience; Soochow University; Suzhou China
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Caverzasio S, Amato N, Manconi M, Prosperetti C, Kaelin-Lang A, Hutchison WD, Galati S. Brain plasticity and sleep: Implication for movement disorders. Neurosci Biobehav Rev 2018; 86:21-35. [DOI: 10.1016/j.neubiorev.2017.12.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Revised: 12/15/2017] [Accepted: 12/18/2017] [Indexed: 12/31/2022]
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Mao CJ, Yang YP, Chen JP, Wang F, Chen J, Zhang JR, Zhang HJ, Zhuang S, Xiong YT, Gu CC, Yuan W, Huang JY, Fay A, Zhong CK, Liu CF. Poor nighttime sleep is positively associated with dyskinesia in Parkinson's disease patients. Parkinsonism Relat Disord 2017; 48:68-73. [PMID: 29305084 DOI: 10.1016/j.parkreldis.2017.12.022] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 11/16/2017] [Accepted: 12/18/2017] [Indexed: 01/01/2023]
Abstract
BACKGROUND Dyskinesia is a troublesome complication of long-term dopaminergic medications in Parkinson's disease (PD) patients. Many factors are reported to be associated with dyskinesia in PD. OBJECTIVE To investigate the association between sleep quality and dyskinesia in patients with PD. METHODS Four hundred twenty-five patients with PD were enrolled in this study. Demographic information was collected. Unified Parkinson's Disease Rating Scale (UPDRS) and Hoehn and Yahr (H-Y) stage scale were also performed. Epworth Sleepiness Scale (ESS) and Pittsburgh Sleep Quality Index (PSQI) were applied to evaluate daytime sleepiness and overall nighttime sleep quality, respectively, in PD patients. RESULTS Patients with dyskinesia tended to have a longer duration of disease, higher daily levodopa-equivalent dose (LED), H-Y stage, UPDRS II and PSQI score, and a higher percentage of levodopa treatment than those without dyskinesia. After adjusting for age, sex, age at onset of PD, disease duration, UPDRS I, UPDRS II, UPDRS III, cigarette smoking, use of different antiparkinsonian drugs, phenotype, daily LED, and restless leg syndrome (RLS), PSQI score was still associated with dyskinesia, with corresponding ORs 1.111 (95% CI, 1.004-1.229) as a continuous variable, and 2.469 (95% CI, 1.051-5.800) as a categorical variable, respectively. Further analysis of PSQI components showed that subjective sleep quality and sleep latency were associated with dyskinesia in PD patients. CONCLUSIONS Our data showed that poor nighttime sleep is positively associated with dyskinesia in PD patients. Attention to the management of nighttime sleep quality may be beneficial to dyskinesia in patients with PD.
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Affiliation(s)
- Cheng-Jie Mao
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Ya-Ping Yang
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Ju-Ping Chen
- Department of Neurology, Changshu Traditional Chinese Medicine Hospital, East Huanghe Road, Changshu 215000, China
| | - Fen Wang
- Institute of Neuroscience, Soochow University, Suzhou 215123 China
| | - Jing Chen
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Jin-Ru Zhang
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Hui-Jun Zhang
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Sheng Zhuang
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Yi-Tong Xiong
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Chen-Chen Gu
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Wen Yuan
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Juan-Ying Huang
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Alexander Fay
- Department of Neurology, UCSF School of Medicine, Medical Center, San Francisco, California CA94143, United States
| | - Chong-Ke Zhong
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Chun-Feng Liu
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China; Institute of Neuroscience, Soochow University, Suzhou 215123 China.
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25
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Abstract
The spectrum of sleep problems in Parkinson's disease (PD) is broad. These symptoms are recognized as being clinically relevant by the PD patients and may seriously affect their quality of life. Some studies reveal the occurrence of sleep disorders in more than half of the PD patients. The etiology is multifactorial and it mainly involves the degeneration of the sleep-regulating structures. Sleep disorders in PD can be classified into: disturbances of sleep and disturbances of wakefulness. Generic and specific scales were designed to help the screening and evaluation of sleep dysfunction. Further assessment can be done using sleep recording techniques, like actigraphy or polysomnography. All types of sleep disturbances may be encountered in PD: insomnia, excessive daytime sleepiness, rapid eye movement sleep behavior disorders, and restless legs syndrome. This chapter will focus on reviewing the main characteristics, pathophysiology, assessment, and management of the most frequent sleep disturbances encountered in PD.
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26
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Lee W, Evans AH, Williams DR. Objective Measurement and Characterization of Sleep Benefit in Parkinson's Disease. Mov Disord Clin Pract 2017; 4:590-596. [PMID: 30363502 DOI: 10.1002/mdc3.12489] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 02/27/2017] [Accepted: 03/08/2017] [Indexed: 01/30/2023] Open
Abstract
Background Sleep benefit (SB) in Parkinson's disease refers to improved motor symptoms upon waking despite an entire night without medications. Although it was first proposed 30 years ago, this phenomenon proved difficult to investigate, and its true prevalence and underlying mechanisms remain unclear. Objective This study aimed to identify and quantify SB through measurement of motor function using a validated smartphone application and to identify disease characteristics that predicted SB. Methods Ninety-two patients recruited from 2 Movement Disorder Services were clinically assessed at home using a validated smartphone application. Each patient was tested in the on-state, at the end of dose, and on waking (before medications) 3 times. Differences between the 3 states were used to determine the impact of sleep and levodopa on motor function. SB was considered to be a "measurable improvement in parkinsonism from the end of dose." Results The morning waking motor function of 20 patients (22%) improved compared with the end-of-dose function, with 9 patients demonstrating superior function compared with their on-state. No clinical features predicted SB. Although all participants subjectively reported motor fluctuations, only 35 patients (38%) demonstrated an objective improvement with levodopa. Patients who had SB more often demonstrated objective motor fluctuations compared with those who did not (65% vs. 31%; P = 0.008). Conclusions SB is a genuine motor phenomenon: 1 in 5 patients have a measurable improvement in motor function on waking. It remains questionable whether this improvement is a direct effect of sleep. Until its underlying mechanism is better understood, it is more appropriate to refer to this phenomenon as simply morning improvement or diurnal fluctuation of motor symptoms.
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Affiliation(s)
- Will Lee
- Neuroscience Department The Alfred Hospital Melbourne Victoria Australia.,Van Cleef Roet Centre for Nervous Diseases Monash University The Alfred Hospital Melbourne Victoria Australia
| | - Andrew H Evans
- Neurology Department The Royal Melbourne Hospital Parkville Victoria Australia
| | - David R Williams
- Neuroscience Department The Alfred Hospital Melbourne Victoria Australia.,Van Cleef Roet Centre for Nervous Diseases Monash University The Alfred Hospital Melbourne Victoria Australia
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27
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Freitas ME, Hess CW, Fox SH. Motor Complications of Dopaminergic Medications in Parkinson's Disease. Semin Neurol 2017; 37:147-157. [PMID: 28511255 DOI: 10.1055/s-0037-1602423] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Motor complications are a consequence of the chronic treatment of Parkinson's disease (PD) and include motor fluctuations (wearing-off phenomenon) and levodopa-induced dyskinesia. Both can have a significant impact on functionality and quality of life; thus, proper recognition and management is essential. The phenomenology and temporal relationship of motor complications to the schedule of levodopa dosing can be helpful in characterizing them. There are several therapeutic approaches to motor complications, including pharmacological and surgical options. The authors summarize the different types of motor complications according to phenomenology and the currently available medical treatments, including ongoing trials for the management of this condition.
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Affiliation(s)
- Maria Eliza Freitas
- Division of Neurology, Department of Medicine, University of Toronto, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Christopher W Hess
- Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, Florida
| | - Susan H Fox
- Division of Neurology, Department of Medicine, University of Toronto, Toronto Western Hospital, Toronto, Ontario, Canada
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28
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Videnovic A, Golombek D. Circadian Dysregulation in Parkinson's Disease. Neurobiol Sleep Circadian Rhythms 2017; 2:53-58. [PMID: 28713867 PMCID: PMC5509072 DOI: 10.1016/j.nbscr.2016.11.001] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2016] [Revised: 10/19/2016] [Accepted: 11/03/2016] [Indexed: 12/27/2022] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disorder that affects over one million individuals in the US alone. PD is characterized by a plethora of motor and non-motor manifestations, resulting from a progressive degeneration of dopaminergic neurons and disbalance of several other neurotransmitters. A growing body of evidence points to significant alterations of the circadian system in PD. This is not surprising given the pivotal role that dopamine plays in circadian regulation as well as the role of circadian influences in dopamine metabolism. In this review we present basic and clinical investigations that examined the function of the circadian system in PD.
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Affiliation(s)
- Aleksandar Videnovic
- Movement Disorders Unit and Division of Sleep Medicine, Massachusetts General Hospital Harvard Medical School, MGH Neurological Clinical Research Institute, 165 Cambridge Street, Suite 600, Boston, MA 02446, United States
| | - Diego Golombek
- Department of Science and Technology, National University of Quilmes/CONICET, R.S. Peña 352, 1876 Bernal, Buenos Aires, Argentina
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29
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van Gilst MM, Cramer IC, Bloem BR, Overeem S, Faber MJ. A grounded theory study on the influence of sleep on Parkinson's symptoms. BMC Res Notes 2016; 9:299. [PMID: 27283443 PMCID: PMC4901477 DOI: 10.1186/s13104-016-2114-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Accepted: 06/01/2016] [Indexed: 11/30/2022] Open
Abstract
Background Upon awaking, many Parkinson’s patients experience an improved mobility, a phenomenon known as ‘sleep benefit’. Despite the potential clinical relevance, no objective correlates of sleep benefit exist. The discrepancy between the patients’ subjective experience of improvement in absence of objective changes is striking, and raises questions about the nature of sleep benefit. We aimed to clarify what patients reporting subjective sleep benefit, actually experience when waking up. Furthermore, we searched for factors associated with subjective sleep benefit. Methods Using a standardized topic list, we interviewed 14 Parkinson patients with unambiguous subjective sleep benefit, selected from a larger questionnaire-based cohort. A grounded theory approach was used to analyse the data. Results A subset of the participants described a temporary decrease in their Parkinson motor symptoms after sleep. Others did experience beneficial effects which were, however, non-specific for Parkinson’s disease (e.g. feeling ‘rested’). The last group misinterpreted the selection questionnaire and did not meet the definition of sleep benefit for various reasons. There were no general sleep-related factors that influenced the presence of sleep benefit. Factors mentioned to influence functioning at awakening were mostly stress related. Conclusions The group of participants convincingly reporting sleep benefit in the selection questionnaire appeared to be very heterogeneous, with only a portion of them describing sleep benefit on motor symptoms. The group of participants actually experiencing motor sleep benefit may be much smaller than reported in the literature so far. Future studies should employ careful inclusion criteria, which could be based on our reported data.
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Affiliation(s)
- Merel M van Gilst
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.,Sleep Medicine Centre Kempenhaeghe, Heeze, The Netherlands.,Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Iris C Cramer
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Bastiaan R Bloem
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Sebastiaan Overeem
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands. .,Sleep Medicine Centre Kempenhaeghe, Heeze, The Netherlands. .,Eindhoven University of Technology, Eindhoven, The Netherlands.
| | - Marjan J Faber
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.,Radboud Institute for Health Sciences, Scientific Institute for Quality of Healthcare, Radboud University Medical Center, Nijmegen, The Netherlands
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30
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Kashihara K, Nomura T, Maeda T, Tsuboi Y, Mishima T, Takigawa H, Nakashima K. Beneficial Effects of Ramelteon on Rapid Eye Movement Sleep Behavior Disorder Associated with Parkinson's Disease - Results of a Multicenter Open Trial. Intern Med 2016; 55:231-6. [PMID: 26831015 DOI: 10.2169/internalmedicine.55.5464] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Objective Melatonin is effective for treating patients with rapid eye movement sleep behavior disorder (RBD). Ramelteon, a novel hypnotic, acts as a melatonin receptor agonist. In the current study, we investigated the effects of ramelteon on sleep disorders, including RBD, in patients with Parkinson's disease (PD). Methods We evaluated 35 patients from multiple centers with idiopathic PD accompanied by sleep disturbances (age: 69.1±11.1 years; 17 men, 18 women; PD morbidity: 6.9±5.7 years; Hoehn & Yahr stage: 2.5±0.8; levodopa dose equivalent: 561±401 mg/day). The patients received 8 mg of ramelteon before sleep once daily for 12 weeks. Motor and sleep symptoms were evaluated both before and after ramelteon administration. Results Of the 35 patients enrolled in this study, 24 (68.6%) were diagnosed with probable RBD (pRBD) using the Japanese version of the RBD screening questionnaire. Ramelteon administration reduced the severity of sleep disturbances in patients with PD. It also lowered scores on the Japanese version of the RBD questionnaire in patients with PD and pRBD. Conclusion Ramelteon may have beneficial effects on sleep disturbances, especially on RBD in patients with PD.
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31
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van Gilst MM, van Mierlo P, Bloem BR, Overeem S. Quantitative Motor Performance and Sleep Benefit in Parkinson Disease. Sleep 2015; 38:1567-73. [PMID: 25902811 DOI: 10.5665/sleep.5048] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Accepted: 03/26/2015] [Indexed: 11/03/2022] Open
Abstract
STUDY OBJECTIVES Many people with Parkinson disease experience "sleep benefit": temporarily improved mobility upon awakening. Here we used quantitative motor tasks to assess the influence of sleep on motor functioning in Parkinson disease. DESIGN Eighteen Parkinson patients with and 20 without subjective sleep benefit and 20 healthy controls participated. Before and directly after a regular night sleep and an afternoon nap, subjects performed the timed pegboard dexterity task and quantified finger tapping task. Subjective ratings of motor functioning and mood/vigilange were included. Sleep was monitored using polysomnography. RESULTS On both tasks, patients were overall slower than healthy controls (night: F2,55 = 16.938, P < 0.001; nap: F2,55 = 15.331, P < 0.001). On the pegboard task, there was a small overall effect of night sleep (F1,55 = 9.695, P = 0.003); both patients and controls were on average slightly slower in the morning. However, in both tasks there was no sleep*group interaction for nighttime sleep nor for afternoon nap. There was a modest correlation between the score on the pegboard task and self-rated motor symptoms among patients (rho = 0.233, P = 0.004). No correlations in task performance and mood/vigilance or sleep time/efficiency were found. CONCLUSIONS A positive effect of sleep on motor function is commonly reported by Parkinson patients. Here we show that the subjective experience of sleep benefit is not paralleled by an actual improvement in motor functioning. Sleep benefit therefore appears to be a subjective phenomenon and not a Parkinson-specific reduction in symptoms.
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Affiliation(s)
- Merel M van Gilst
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, the Netherlands
| | | | - Bastiaan R Bloem
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, the Netherlands
| | - Sebastiaan Overeem
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, the Netherlands.,Sleep Medicine Centre Kempenhaeghe, Heeze, the Netherlands.,Eindhoven University of Technology, Eindhoven, the Netherlands
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32
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Abstract
Sleep disturbances are a common non-motor feature in patients with Parkinson's disease (PD). Early diagnosis and appropriate management are imperative for enhancing patient quality of life. Sleep disturbances can be caused by multiple factors in addition to age-related changes in sleep, such as nocturnal motor symptoms (rigidity, resting tremor, akinesia, tardive dyskinesia, and the "wearing off" phenomenon), non-motor symptoms (pain, hallucination, and psychosis), nocturia, and medication. Disease-related pathology involving the brainstem and changes in the neurotransmitter systems (norepinephrine, serotonin, and acetylcholine) responsible for regulating sleep structure and the sleep/wake cycle play a role in emerging excessive daytime sleepiness and sleep disturbances. Additionally, screening for sleep apnea syndrome, rapid eye movement sleep behavior disorder, and restless legs syndrome is clinically important. Questionnaire-based assessment utilizing the PD Sleep Scale-2 is useful for screening PD-related nocturnal symptoms. In this review, we focus on the current understanding and management of sleep disturbances in PD.
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33
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Nonnekes J, Snijders AH, Nutt JG, Deuschl G, Giladi N, Bloem BR. Freezing of gait: a practical approach to management. Lancet Neurol 2015; 14:768-78. [PMID: 26018593 DOI: 10.1016/s1474-4422(15)00041-1] [Citation(s) in RCA: 235] [Impact Index Per Article: 26.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Revised: 03/22/2015] [Accepted: 03/30/2015] [Indexed: 01/09/2023]
Abstract
Freezing of gait is a common and disabling symptom in patients with parkinsonism, characterised by sudden and brief episodes of inability to produce effective forward stepping. These episodes typically occur during gait initiation or turning. Treatment is important because freezing of gait is a major risk factor for falls in parkinsonism, and a source of disability to patients. Various treatment approaches exist, including pharmacological and surgical options, as well as physiotherapy and occupational therapy, but evidence is inconclusive for many approaches, and clear treatment protocols are not available. To address this gap, we review medical and non-medical treatment strategies for freezing of gait and present a practical algorithm for the management of this disorder, based on a combination of evidence, when available, and clinical experience of the authors. Further research is needed to formally establish the merits of our proposed treatment protocol.
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Affiliation(s)
- Jorik Nonnekes
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Anke H Snijders
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands
| | - John G Nutt
- Department of Neurology, Oregon Health and Science University, Portland, OR, USA
| | - Günter Deuschl
- Department of Neurology, Christian-Albrechts University, Kiel, Germany
| | - Nir Giladi
- Sagol School for Neuroscience, Movement Disorders Unit, Department of Neurology, Tel-Aviv Medical Centre, Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Bastiaan R Bloem
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands.
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34
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van Gilst MM, Bloem BR, Overeem S. Prospective assessment of subjective sleep benefit in Parkinson's disease. BMC Neurol 2015; 15:2. [PMID: 25591551 PMCID: PMC4300997 DOI: 10.1186/s12883-014-0256-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2014] [Accepted: 12/23/2014] [Indexed: 11/10/2022] Open
Abstract
Background Parkinson’s disease (PD) patients may experience ‘sleep benefit’ (SB): a temporarily improved mobility upon awakening. SB has mainly been studied retrospectively using questionnaires, but it remains unclear whether it is associated with actual changes in motor functioning. Methods We performed a prospective study on sleep-related changes in motor functioning, using a PD symptom diary during 7 days in 240 randomly selected PD patients (140 men; 66.8 ± 9.6 years; disease duration 9.3 ± 6.2 years). Afterwards, patients received a questionnaire on the possible subjective experience of SB. Results Using the PD symptom diary, a positive change in motor function was observed after 267 nights (17.8%) and after 138 daytime naps (23.4%). Based on these results, 75 patients (32%) were classified as having SB. In response to the subsequent questionnaire, 73 patients (31%) reported SB. Interestingly, the groups with SB according to either the diary or the questionnaire overlapped only partially: outcomes were congruent in 63% of subjects (both negative 49%, both positive 14%). In both the diary and questionnaire, patients with SB showed a longer disease duration and longer medication use. According to the questionnaire, there was a trend towards a shorter sleep duration and lower sleep efficiency in the SB group. The mean change in motor function after sleep as assessed using the diary was higher in patients reporting subjective SB. Conclusion We show that the subjective experience of SB in PD is not always related to an actual increase in reported motor function after sleep. Defining SB using either a symptom diary or a questionnaire on subjective experience, results in only partly overlapping groups. These data suggest that SB may be a more heterogeneous phenomenon than previously thought and that subjective experience of symptom severity is not necessarily related to actual motor function. Electronic supplementary material The online version of this article (doi:10.1186/s12883-014-0256-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Merel M van Gilst
- Department of Neurology, Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
| | - Bastiaan R Bloem
- Department of Neurology, Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
| | - Sebastiaan Overeem
- Department of Neurology, Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands. .,Sleep Medicine Centre Kempenhaeghe, Heeze, The Netherlands.
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35
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Zhou H, Shen C, Chen J, Qian H, Zheng Y, Liu Y, Xian W, Pei Z, Chen L. Tremor and clinical fluctuation are related to sleep disorders in Chinese patients with Parkinson's disease. Transl Neurodegener 2014; 3:21. [PMID: 25349692 PMCID: PMC4209517 DOI: 10.1186/2047-9158-3-21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2014] [Accepted: 10/18/2014] [Indexed: 01/09/2023] Open
Abstract
Objective To study the relationship between sleep disturbances and symptoms in patients with Parkinson’s disease (PD). Methods The Parkinson’s Disease Sleep Scale-Chinese Version (PDSS-CV) was used to evaluate the sleep disturbances of PD patients in a cross sectional study. The Unified Parkinson’s Disease Rating Scale (UPDRS) parts II-IV, and the Hoehn & Yahr (H&Y) stage were used to determine the level of motor function in PD and the severity of PD. The Spearman correlation and a multiple regression analysis were used to identify the relationship between sleep disturbances and symptoms of PD. The quantities derived from the UPDRS and the H&Y stage and disease duration were compared between groups of patients either with or without sleep disturbances identified by the PDSS. This study was conducted from December 2011 to March 2012 at the First Affiliated Hospital of Sun Yat-sen University, in Guangzhou. Results A total of 136 PD patients were included in this study. The overall total PDSS score in PD patients was 107.58 ± 23.35 points (range: 30–146). There were significant differences in the disease duration, the H&Y stage, and the UPDRS section subscores between groups of patients either with or without sleep disturbances (Kruskal-Wallis Test, p <0.05). There were significant negative correlations between PDSS scores and the UPDRS subscores, the H&Y stage and the disease duration (Spearman correlation, p < 0.05). The multiple regression analysis indicated that sleep disturbances identified by the PDSS were only associated with daily life activity, tremor intensity and clinical fluctuation (R2 = 0.22, F(3,132) = 12.4, p < 0.001). The correlations were also significant when the contribution of the other two factors was excluded using partial correlations. Conclusions The level of daily life activity and the occurrences of tremor and clinical fluctuation are likely to be important factors that lead to PD patients’ sleep disturbances. This study may elucidate an important clue for the relationship between sleep disturbances and PD symptoms.
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Affiliation(s)
- Hongyan Zhou
- Department of Neurological Intensive Care Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Cunzhou Shen
- Department of Neurological Intensive Care Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Jie Chen
- Department of Internal Medicine, Nansha central Hospital, Guangzhou 511457, China
| | - Hao Qian
- Department of Neurology, The Second Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou 510300, China
| | - Yifan Zheng
- Department of Neurology, The First Affiliated Hospital of Sun Yat-sen University, NO. 58 Zhongshan Road 2, Guangzhou 510080, China
| | - Yanmei Liu
- Department of Neurology, The First Affiliated Hospital of Sun Yat-sen University, NO. 58 Zhongshan Road 2, Guangzhou 510080, China
| | - Wenbiao Xian
- Department of Neurology, The First Affiliated Hospital of Sun Yat-sen University, NO. 58 Zhongshan Road 2, Guangzhou 510080, China
| | - Zhong Pei
- Department of Neurology, The First Affiliated Hospital of Sun Yat-sen University, NO. 58 Zhongshan Road 2, Guangzhou 510080, China
| | - Ling Chen
- Department of Neurology, The First Affiliated Hospital of Sun Yat-sen University, NO. 58 Zhongshan Road 2, Guangzhou 510080, China
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