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Regalbuto S, Zangaglia R, Valentino F, Todisco M, Pacchetti C, Cotta Ramusino M, Mazzacane F, Picascia M, Arceri S, Malomo G, Capriglia E, Spelta L, Rubino A, Pisani A, Terzaghi M. Clinical correlates of obstructive sleep apnoea in idiopathic normal pressure hydrocephalus. Eur J Neurol 2024:e16448. [PMID: 39207116 DOI: 10.1111/ene.16448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 07/30/2024] [Accepted: 08/04/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND AND PURPOSE The pathogenesis of idiopathic normal pressure hydrocephalus (iNPH) remains controversial. Limited studies have indicated a high prevalence of obstructive sleep apnoea (OSA) amongst iNPH patients. The aim was to investigate the clinical correlates of OSA in iNPH patients. METHODS In this cross-sectional observational study, consecutive iNPH patients were prospectively enrolled. Evaluations included the iNPH Rating Scale, the Movement Disorder Society Unified Parkinson's Disease Rating Scale part III, the time and number of steps to walk 10 m, the Epworth Sleepiness Scale, the Pittsburgh Sleep Quality Index, a complete neuropsychological evaluation, 3-T brain MRI, full-night video-polysomnography, tap test and cerebrospinal fluid (CSF) neurodegeneration biomarkers. RESULTS Fifty-one patients were screened, of whom 38 met the inclusion criteria. Amongst the recruited patients, 19/38 (50%) exhibited OSA, with 12/19 (63.2%) presenting moderate to severe disorder. OSA+ iNPH patients required more time (p = 0.02) and more steps (p = 0.04) to complete the 10-m walking test, had lower scores on the gait subitem of the iNPH Rating Scale (p = 0.04) and demonstrated poorer performance on specific neuropsychological tests (Rey Auditory Verbal Learning Test immediate recall, p = 0.03, and Rey-Osterrieth Complex Figure, p = 0.01). Additionally, OSA+ iNPH patients had higher levels of total tau (p = 0.02) and phospho-tau (p = 0.03) in their CSF but no statistically significant differences in beta-amyloid (1-42) levels compared to OSA- iNPH patients. CONCLUSION Obstructive sleep apnoea is highly prevalent in iNPH patients, particularly at moderate to severe levels. OSA is associated with worse motor and cognitive performance in iNPH. The CSF neurodegeneration biomarker profile observed in OSA+ iNPH patients may reflect OSA-induced impairment of cerebral fluid dynamics.
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Affiliation(s)
- Simone Regalbuto
- IRCCS Mondino Foundation, National Neurological Institute, Pavia, Italy
| | - Roberta Zangaglia
- IRCCS Mondino Foundation, National Neurological Institute, Pavia, Italy
| | | | | | - Claudio Pacchetti
- IRCCS Mondino Foundation, National Neurological Institute, Pavia, Italy
| | - Matteo Cotta Ramusino
- IRCCS Mondino Foundation, National Neurological Institute, Pavia, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Federico Mazzacane
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Marta Picascia
- IRCCS Mondino Foundation, National Neurological Institute, Pavia, Italy
| | - Sebastiano Arceri
- IRCCS Mondino Foundation, National Neurological Institute, Pavia, Italy
| | - Gaetano Malomo
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Elena Capriglia
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Laura Spelta
- IRCCS Mondino Foundation, National Neurological Institute, Pavia, Italy
| | - Annalisa Rubino
- IRCCS Mondino Foundation, National Neurological Institute, Pavia, Italy
| | - Antonio Pisani
- IRCCS Mondino Foundation, National Neurological Institute, Pavia, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Michele Terzaghi
- IRCCS Mondino Foundation, National Neurological Institute, Pavia, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
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Li X, Shen M, Shen Z, Han Z, Jiao J, Tong X. Reading the mind in the eyes in patients with idiopathic REM sleep behavior disorder. Neurol Sci 2024; 45:2697-2703. [PMID: 38190083 DOI: 10.1007/s10072-024-07303-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 01/01/2024] [Indexed: 01/09/2024]
Abstract
OBJECTIVES Idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) is characterized by vocalizations, jerks, and motor behaviors during REM sleep, often associated with REM-related dream content, which is considered a prodromal stage of α-synucleinopathy. The results of the Reading the Mind in the Eyes (RME) reflecting affective Theory of Mind (ToM) are inconsistent in α-synucleinopathy. The present study tried to investigate the RME in patients with iRBD. METHODS A total of 35 patients with iRBD and 26 healthy controls were included in the study. All participants were administered the RME and the cognitive assessments according to a standard procedure. The patients with iRBD were further divided into two groups (high or low RME) according to the scores of the RME (> 21, or ≤ 20). RESULTS The patients with iRBD had worse scores on cognitive tests compared with healthy controls involving global cognitive screening, memory, and visuospatial abilities (p < 0.05), but the scores of the RME were similar between the two groups (20.83 ± 3.38, 20.58 ± 3.43) (p ˃ 0.05). Patients with low RME had more obvious cognitive impairments than healthy controls. After applying Bonferroni correction for multiple tests, the low REM group only performed worse on the Sum of trials 1 to 5 and delayed recall of the RAVLT compared with the healthy control group (p < 0.001, = 0.002). The RME correlated with the scores of cognitive tests involving executive function, attention, memory, and visuospatial function. CONCLUSIONS The changes in RME had a relationship with cognitive impairments, especially memory, in patients with iRBD.
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Affiliation(s)
- Xudong Li
- Department of Cognitive Disorder, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, South 4th Ring Road West 119, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
| | - Miaoxin Shen
- Department of Cognitive Disorder, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, South 4th Ring Road West 119, Beijing, 100070, China
| | | | - Ziling Han
- Department of Cognitive Disorder, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, South 4th Ring Road West 119, Beijing, 100070, China
| | - Jinsong Jiao
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Xiaopeng Tong
- Department of Microbiology and Immunology, Medical School, Xizang Minzu University, Xianyang, China
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Jeong E, Woo Shin Y, Byun JI, Sunwoo JS, Roascio M, Mattioli P, Giorgetti L, Famà F, Arnulfo G, Arnaldi D, Kim HJ, Jung KY. EEG-based machine learning models for the prediction of phenoconversion time and subtype in isolated rapid eye movement sleep behavior disorder. Sleep 2024; 47:zsae031. [PMID: 38330231 DOI: 10.1093/sleep/zsae031] [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: 11/05/2023] [Revised: 01/20/2024] [Indexed: 02/10/2024] Open
Abstract
STUDY OBJECTIVES Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal stage of α-synucleinopathies and eventually phenoconverts to overt neurodegenerative diseases including Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). Associations of baseline resting-state electroencephalography (EEG) with phenoconversion have been reported. In this study, we aimed to develop machine learning models to predict phenoconversion time and subtype using baseline EEG features in patients with iRBD. METHODS At baseline, resting-state EEG and neurological assessments were performed on patients with iRBD. Calculated EEG features included spectral power, weighted phase lag index, and Shannon entropy. Three models were used for survival prediction, and four models were used for α-synucleinopathy subtype prediction. The models were externally validated using data from a different institution. RESULTS A total of 236 iRBD patients were followed up for up to 8 years (mean 3.5 years), and 31 patients converted to α-synucleinopathies (16 PD, 9 DLB, 6 MSA). The best model for survival prediction was the random survival forest model with an integrated Brier score of 0.114 and a concordance index of 0.775. The K-nearest neighbor model was the best model for subtype prediction with an area under the receiver operating characteristic curve of 0.901. Slowing of the EEG was an important feature for both models. CONCLUSIONS Machine learning models using baseline EEG features can be used to predict phenoconversion time and its subtype in patients with iRBD. Further research including large sample data from many countries is needed to make a more robust model.
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Affiliation(s)
- El Jeong
- Interdisciplinary Program in Bioengineering, College of Engineering, Seoul National University, Seoul, South Korea
| | - Yong Woo Shin
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Jung-Ick Byun
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Seoul, South Korea
| | - Jun-Sang Sunwoo
- Department of Neurology, Kangbuk Samsung Hospital, Seoul, South Korea
| | - Monica Roascio
- Department of Informatics, Bioengineering, Robotics and System engineering (DIBRIS), University of Genoa, Genoa, Italy
- RAISE (Robotics and AI for Socio-economic Empowerment) Ecosystem, Genoa, Italy
| | - Pietro Mattioli
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- Neurophysiopathology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Laura Giorgetti
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | - Francesco Famà
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- Neurophysiopathology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Gabriele Arnulfo
- Department of Informatics, Bioengineering, Robotics and System engineering (DIBRIS), University of Genoa, Genoa, Italy
- RAISE (Robotics and AI for Socio-economic Empowerment) Ecosystem, Genoa, Italy
| | - Dario Arnaldi
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- Neurophysiopathology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Han-Joon Kim
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Ki-Young Jung
- Seoul National University Hospital, Seoul, South Korea
- Seoul National University Medical Research Center Neuroscience Research Institute, Sensory Organ Research Institute, Seoul National University College of Medicine, Seoul, South Korea
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Leitner C, D'Este G, Verga L, Rahayel S, Mombelli S, Sforza M, Casoni F, Zucconi M, Ferini-Strambi L, Galbiati A. Neuropsychological Changes in Isolated REM Sleep Behavior Disorder: A Systematic Review and Meta-analysis of Cross-sectional and Longitudinal Studies. Neuropsychol Rev 2024; 34:41-66. [PMID: 36588140 DOI: 10.1007/s11065-022-09572-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 11/28/2022] [Indexed: 01/03/2023]
Abstract
The aim of this meta-analysis is twofold: (a) to assess cognitive impairments in isolated rapid eye movement (REM) sleep behavior disorder (iRBD) patients compared to healthy controls (HC); (b) to quantitatively estimate the risk of developing a neurodegenerative disease in iRBD patients according to baseline cognitive assessment. To address the first aim, cross-sectional studies including polysomnography-confirmed iRBD patients, HC, and reporting neuropsychological testing were included. To address the second aim, longitudinal studies including polysomnography-confirmed iRBD patients, reporting baseline neuropsychological testing for converted and still isolated patients separately were included. The literature search was conducted based on PRISMA guidelines and the protocol was registered at PROSPERO (CRD42021253427). Cross-sectional and longitudinal studies were searched from PubMed, Web of Science, Scopus, and Embase databases. Publication bias and statistical heterogeneity were assessed respectively by funnel plot asymmetry and using I2. Finally, a random-effect model was performed to pool the included studies. 75 cross-sectional (2,398 HC and 2,460 iRBD patients) and 11 longitudinal (495 iRBD patients) studies were selected. Cross-sectional studies showed that iRBD patients performed significantly worse in cognitive screening scores (random-effects (RE) model = -0.69), memory (RE model = -0.64), and executive function (RE model = -0.50) domains compared to HC. The survival analyses conducted for longitudinal studies revealed that lower executive function and language performance, as well as the presence of mild cognitive impairment (MCI), at baseline were associated with an increased risk of conversion at follow-up. Our study underlines the importance of a comprehensive neuropsychological assessment in the context of iRBD.
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Affiliation(s)
- Caterina Leitner
- "Vita-Salute" San Raffaele University, Milan, Italy
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Giada D'Este
- "Vita-Salute" San Raffaele University, Milan, Italy
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Laura Verga
- Comparative Bioacoustics Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Faculty of Psychology and Neuroscience, Department NP&PP, Maastricht University, Maastricht, The Netherlands
| | - Shady Rahayel
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, QC, Canada
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal - Hôpital du Sacré-Cœur de Montréal, Montréal, QC, Canada
| | - Samantha Mombelli
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Marco Sforza
- "Vita-Salute" San Raffaele University, Milan, Italy
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Francesca Casoni
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Marco Zucconi
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Luigi Ferini-Strambi
- "Vita-Salute" San Raffaele University, Milan, Italy
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Andrea Galbiati
- "Vita-Salute" San Raffaele University, Milan, Italy.
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Via Stamira d'Ancona, 20, 20127, Milan, Italy.
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Joza S, Hu MT, Jung K, Kunz D, Arnaldi D, Lee J, Ferini‐Strambi L, Antelmi E, Sixel‐Döring F, De Cock VC, Montplaisir JY, Welch J, Kim H, Bes F, Mattioli P, Woo KA, Marelli S, Plazzi G, Mollenhauer B, Pelletier A, Razzaque J, Sunwoo J, Girtler N, Trenkwalder C, Gagnon J, Postuma RB. Prodromal dementia with Lewy bodies in REM sleep behavior disorder: A multicenter study. Alzheimers Dement 2024; 20:91-102. [PMID: 37461299 PMCID: PMC10917000 DOI: 10.1002/alz.13386] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 06/12/2023] [Indexed: 01/18/2024]
Abstract
INTRODUCTION Isolated/idiopathic rapid eye movement sleep behavior disorder (iRBD) is a powerful early predictor of dementia with Lewy bodies (DLB) and Parkinson's disease (PD). This provides an opportunity to directly observe the evolution of prodromal DLB and to identify which cognitive variables are the strongest predictors of evolving dementia. METHODS IRBD participants (n = 754) from 10 centers of the International RBD Study Group underwent annual neuropsychological assessment. Competing risk regression analysis determined optimal predictors of dementia. Linear mixed-effect models determined the annual progression of neuropsychological testing. RESULTS Reduced attention and executive function, particularly performance on the Trail Making Test Part B, were the strongest identifiers of early DLB. In phenoconverters, the onset of cognitive decline began up to 10 years prior to phenoconversion. Changes in verbal memory best differentiated between DLB and PD subtypes. DISCUSSION In iRBD, attention and executive dysfunction strongly predict dementia and begin declining several years prior to phenoconversion. HIGHLIGHTS Cognitive decline in iRBD begins up to 10 years prior to phenoconversion. Attention and executive dysfunction are the strongest predictors of dementia in iRBD. Decline in episodic memory best distinguished dementia-first from parkinsonism-first phenoconversion.
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Affiliation(s)
- Stephen Joza
- Department of NeurologyMontreal Neurological InstituteMontrealCanada
| | - Michele T. Hu
- Nuffield Department of Clinical Neurosciences, Division of Neurology and Oxford Parkinson's Disease CentreUniversity of OxfordOxfordUK
| | - Ki‐Young Jung
- Department of Neurology, Seoul National University College of MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Dieter Kunz
- Clinic for Sleep & ChronomedicineSt. Hedwig‐KrankenhausBerlinGermany
| | - Dario Arnaldi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical NeurologyUniversity of GenoaGenoaItaly
- IRCCS Ospedale Policlinico San MartinoGenoaItaly
| | - Jee‐Young Lee
- Department of NeurologySeoul National University College of MedicineSeoul Metropolitan Government‐Seoul National University Boramae Medical CenterSeoulSouth Korea
| | | | - Elena Antelmi
- DIMI Department of Engineering and Medicine of InnovationUniversity of VeronaVeronaItaly
| | - Friederike Sixel‐Döring
- Department of Neurology and Section on Clinical NeurosciencePhilipps University MarburgMarburgGermany
- Paracelsus Elena KlinikCentre for Movement DisordersKasselGermany
| | - Valérie Cochen De Cock
- EuroMov Digital Health in MotionUniversity of MontpellierIMT Mines AlesMontpellierFrance
- Department of Neurology and SleepBeau Soleil ClinicMontpellierFrance
| | - Jacques Y. Montplaisir
- Centre d’Études Avancées en Médecine du SommeilHôpital du Sacré‐Cœur de MontréalMontréalQuebecCanada
- Department of PsychologyUniversité du Québec à MontréalMontréalQuebecCanada
| | - Jessica Welch
- Nuffield Department of Clinical Neurosciences, Division of Neurology and Oxford Parkinson's Disease CentreUniversity of OxfordOxfordUK
| | - Han‐Joon Kim
- Department of Neurology, Seoul National University College of MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Frederik Bes
- Clinic for Sleep & ChronomedicineSt. Hedwig‐KrankenhausBerlinGermany
| | - Pietro Mattioli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical NeurologyUniversity of GenoaGenoaItaly
| | - Kyung Ah Woo
- Department of NeurologySeoul National University College of MedicineSeoul Metropolitan Government‐Seoul National University Boramae Medical CenterSeoulSouth Korea
| | - Sara Marelli
- Sleep Disorders CenterVita‐Salute San Raffaele UniversityMilanItaly
| | - Giuseppe Plazzi
- IRCCS Istituto delle Scienze Neurologiche di BolognaBolognaItaly
- Department of Biomedical, Metabolic and Neural SciencesUniversity of Modena and Reggio‐EmiliaModenaItaly
| | - Brit Mollenhauer
- Department of Neurology and Section on Clinical NeurosciencePhilipps University MarburgMarburgGermany
- Paracelsus Elena KlinikCentre for Movement DisordersKasselGermany
| | - Amelie Pelletier
- Department of NeurologyMontreal Neurological InstituteMontrealCanada
- Centre d’Études Avancées en Médecine du SommeilHôpital du Sacré‐Cœur de MontréalMontréalQuebecCanada
| | - Jamil Razzaque
- Nuffield Department of Clinical Neurosciences, Division of Neurology and Oxford Parkinson's Disease CentreUniversity of OxfordOxfordUK
| | - Jun‐Sang Sunwoo
- Department of NeurologyKangbuk Samsung HospitalSeoulRepublic of Korea
| | - Nicola Girtler
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical NeurologyUniversity of GenoaGenoaItaly
- IRCCS Ospedale Policlinico San MartinoGenoaItaly
| | - Claudia Trenkwalder
- Paracelsus Elena KlinikCentre for Movement DisordersKasselGermany
- Department of NeurosurgeryUniversity Medical Center GoettingenGöttingenGermany
| | - Jean‐François Gagnon
- Centre d’Études Avancées en Médecine du SommeilHôpital du Sacré‐Cœur de MontréalMontréalQuebecCanada
- Department of PsychologyUniversité du Québec à MontréalMontréalQuebecCanada
| | - Ronald B. Postuma
- Department of NeurologyMontreal Neurological InstituteMontrealCanada
- Centre d’Études Avancées en Médecine du SommeilHôpital du Sacré‐Cœur de MontréalMontréalQuebecCanada
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Zhang X, Liang D, Ma L, Huang Y, Wan Y, Zhou K, Xu L, Wu W, Xue R, Zhang N. Cognitive and motor profiles as prodromal markers in predicting phenoconversion and phenotype in isolated REM sleep behavior disorder. Sleep Med 2023; 112:262-272. [PMID: 37925853 DOI: 10.1016/j.sleep.2023.10.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 10/03/2023] [Accepted: 10/25/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVE To determine the clinical markers based on cognitive and motor profiles in predicting phenoconverion and phenotype in isolated rapid eye movement sleep behavior disorder (iRBD). METHODS 45 iRBD patients and 25 healthy controls were included in the follow-up study. All participates received comprehensive evaluations of cognitive, motor and autonomic function at baseline. Positive phenoconversion were identified according to standard diagnostic criteria during follow-up. RESULTS 21 iRBD patients displayed phenoconversion in a mean follow-up of 2.9 ± 1.6 years, with 14 presenting motor phenotype and 7 cognitive phenotype. In iRBD, visuospatial, memory, attention-executive function, information processing speed, and motor function predicted phenoconversion, with the combination of Trail Making Test (TMT) and Alternate-tap Test (ATT) performing best (sensitivity = 95.0 %, specificity = 75.0 %); attention-executive function, information processing speed, and motor function predicted motor phenotype conversion, with the combination of TMT and ATT performing best (sensitivity = 100 %, specificity = 66.7 %); visuospatial, memory, and attention-executive function predicted cognitive phenotype conversion, with TMT performing best (sensitivity = 83.3 %, specificity = 91.7 %). Furthermore, individuals with lower z-scores of TMT, Symbol Digit Modalities Test, and ATT than the established cutoff values in iRBD exhibited a significantly higher risk for phenoconversion at follow-up (HR = 2.98, 9.53, 11.68; respectively). CONCLUSIONS In iRBD, the attention-executive and motor function served as optimum combined markers in predicting phenoconversion and motor phenotype, whereas the attention-executive function performed best in predicting cognitive phenotype. Poor attention-executive function, information processing speed and motor function in iRBD independently increased the risk of phenoconversion.
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Affiliation(s)
- Xuan Zhang
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Danqi Liang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Ma
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yaqin Huang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yahui Wan
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Kaili Zhou
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Lin Xu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wei Wu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Rong Xue
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China; Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
| | - Nan Zhang
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China; Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China.
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Sobreira-Neto MA, Stelzer FG, Gitaí LLG, Alves RC, Eckeli AL, Schenck CH. REM sleep behavior disorder: update on diagnosis and management. ARQUIVOS DE NEURO-PSIQUIATRIA 2023; 81:1179-1194. [PMID: 38157884 PMCID: PMC10756822 DOI: 10.1055/s-0043-1777111] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 09/17/2023] [Indexed: 01/03/2024]
Abstract
REM sleep behavior disorder (RBD) is characterized by a loss of atonia of skeletal muscles during REM sleep, associated with acting out behaviors during dreams. Knowledge of this pathology is important to predict neurodegenerative diseases since there is a strong association of RBD with diseases caused by the deposition of alpha-synuclein in neurons (synucleinopathies), such as Parkinson's disease (PD), multiple system atrophy (MSA), and dementia with Lewy bodies (DLB). Proper diagnosis of this condition will enable the use of future neuroprotective strategies before motor and cognitive symptoms. Diagnostic assessment should begin with a detailed clinical history with the patient and bed partner or roommate and the examination of any recorded home videos. Polysomnography (PSG) is necessary to verify the loss of sleep atonia and, when documented, the behaviors during sleep. Technical recommendations for PSG acquisition and analysis are defined in the AASM Manual for the scoring of sleep and associated events, and the PSG report should describe the percentage of REM sleep epochs that meet the criteria for RWA (REM without atonia) to better distinguish patients with and without RBD. Additionally, PSG helps rule out conditions that may mimic RBD, such as obstructive sleep apnea, non-REM sleep parasomnias, nocturnal epileptic seizures, periodic limb movements, and psychiatric disorders. Treatment of RBD involves guidance on protecting the environment and avoiding injuries to the patient and bed partner/roommate. Use of medications are also reviewed in the article. The development of neuroprotective medications will be crucial for future RBD therapy.
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Affiliation(s)
| | - Fernando Gustavo Stelzer
- Univeridade de São Paulo, Ribeirão Preto Medical School, Department of Neurosciences and Behavioral Sciences, Ribeirão Preto SP, Brazil.
| | - Lívia Leite Góes Gitaí
- Universidade Federal de Alagoas, Faculty of Medicine, Division of Neurology, Maceió AL, Brazil.
| | | | - Alan Luiz Eckeli
- Univeridade de São Paulo, Ribeirão Preto Medical School, Department of Neurosciences and Behavioral Sciences, Ribeirão Preto SP, Brazil.
| | - Carlos H. Schenck
- Minnesota Regional Sleep Disorders Center; and University of Minnesota, Medical School, Departments of Psychiatry; and Hennepin County Medical Center, Minneapolis MN, United States of America.
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Fiamingo G, Capittini C, De Silvestri A, Rebuffi C, Cerami C, Arnaldi D, Terzaghi M. Neuropsychological evaluation of phenoconversion risk in REM sleep behaviour disorder: A scoping review. J Sleep Res 2023; 32:e13873. [PMID: 36958793 DOI: 10.1111/jsr.13873] [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: 11/02/2022] [Revised: 02/25/2023] [Accepted: 02/27/2023] [Indexed: 03/25/2023]
Abstract
The objective of this study was to assess the role of cognitive evaluation in the prediction of phenoconversion in polysomnography-confirmed idiopathic or isolated rapid eye movement sleep behaviour disorder, through a scoping review focussing on a longitudinal comprehensive neuropsychological assessment of patients with idiopathic REM sleep behaviour disorder. A literature search (2006-2022) yielded 1034 records, and 20 were selected for analysis. The sample included 899 patients from eight different cohorts and five countries. We extracted data on clinical evolution, mild cognitive impairment diagnosis, neuropsychological tests used, and classification of cognitive domains. Tests, cognitive domains, and mild cognitive impairment definitions were heterogeneous across the studies, precluding a meta-analysis. Ten studies (50%) evaluated the presence of mild cognitive impairment; 14 studies (70%) grouped neuropsychological tests into between three (6 studies, 21.4%) and seven (1 study, 7.1%) cognitive domains. The most frequently used tests were semantic fluency, Stroop colour word test, trail making test A and B, digit span, Rey auditory verbal learning test, and Rey-Osterrieth figure. All except digit span showed a role in predicting phenoconversion. The authors did not consistently assign tests to specific cognitive domains. In conclusion, we discuss methodological differences between the studies and highlight the need for a standardised framework for neuropsychological data acquisition and presentation, based on a multilevel approach covering test selection, domain assignment, and mild cognitive impairment diagnostic criteria.
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Affiliation(s)
- Giuseppe Fiamingo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Cristina Capittini
- Clinical Epidemiology and Biometric Unit, Scientific Direction, IRCCS Policlinico S. Matteo Foundation, Pavia, Italy
| | - Annalisa De Silvestri
- Clinical Epidemiology and Biometric Unit, Scientific Direction, IRCCS Policlinico S. Matteo Foundation, Pavia, Italy
| | | | - Chiara Cerami
- Scuola Universitaria di Studi Superiori IUSS, Pavia, Italy
- Cognitive Computational Neuroscience Research Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Dario Arnaldi
- Clinical Neurology, DINOGMI, University of Genoa, Genoa, Italy
- IRCSS Ospedale Policlinico San Martino, Genoa, Italy
| | - Michele Terzaghi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Unit of Sleep Medicine and Epilepsy, IRCSS Mondino Foundation, Pavia, Italy
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9
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Figorilli M, Meloni F, Lecca R, Tamburrino L, Mascia MG, Cocco V, Meloni M, Marques AR, Vidal T, Congiu P, Defazio G, Durif F, Lanza G, Ferri R, Schenck CH, Fantini ML, Puligheddu M. Severity of REM sleep without atonia correlates with measures of cognitive impairment and depressive symptoms in REM sleep behaviour disorder. J Sleep Res 2023; 32:e13880. [PMID: 36998161 DOI: 10.1111/jsr.13880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 04/01/2023]
Abstract
This study aimed to correlate REM sleep without atonia (RSWA) and neuropsychological data in patients with idiopathic/isolated REM sleep behaviour disorder (iRBD) and those with RBD associated with Parkinson's disease (PDRBD), in order to assess whether higher degrees of RSWA are related to poorer cognitive performance. A total of 142 subjects were enrolled: 48 with iRBD, 55 with PDRBD, and 39 PD without RBD (PDnoRBD). All participants underwent video-polysomnographic recording, clinical and neuropsychological assessment. RSWA was quantified according to two manual scoring methods (Montréal, SINBAR) and one automated (REM atonia index, RAI). Mild cognitive impairment (MCI) was diagnosed according to diagnostic criteria for MCI in Parkinson's disease. The relationship between neuropsychological scores and RSWA metrics was explored by multiple linear regression analysis and logistic regression models. Patients with iRBD showed significantly lower visuospatial functions and working memory, compared with the others. More severe RSWA was associated with a higher risk of reduced visuospatial abilities (OR 0.15), working memory (OR 2.48), attention (OR 2.53), and semantic fluency (OR 0.15) in the iRBD. In the whole group, a greater RSWA was associated with an increased risk for depressive symptoms (OR 3.6). A total of 57(40%) MCI subjects were found (17 iRBD, 26 PDRBD, and 14 PDnoRBD). Preserved REM-atonia was associated with a reduced odds of multi-domain MCI in the whole study population (OR 0.54). In conclusion, a greater severity of RSWA was associated with an increased risk for poor cognitive performance and depressive mood in patients with RBD. Moreover, higher RAI was associated with a lower risk of multi-domain MCI.
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Affiliation(s)
- Michela Figorilli
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Neurology Unit, Department of Medical Sciences and Public Health, University of Cagliari and AOU Cagliari, Monserrato, Cagliari, Italy
| | - Federico Meloni
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Rosamaria Lecca
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Ludovica Tamburrino
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | | | - Viola Cocco
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Mario Meloni
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Ana Raquel Marques
- Université Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand University Hospital, Neurophysiology Department, Clermont-Ferrand, France
| | - Tiphaine Vidal
- Université Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand University Hospital, Neurophysiology Department, Clermont-Ferrand, France
| | - Patrizia Congiu
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Giovanni Defazio
- Neurology Unit, Department of Medical Sciences and Public Health, University of Cagliari and AOU Cagliari, Monserrato, Cagliari, Italy
| | - Frank Durif
- Université Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand University Hospital, Neurophysiology Department, Clermont-Ferrand, France
| | - Giuseppe Lanza
- Sleep Research Centre, Oasi Research Institute-IRCCS, Troina, Italy
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
| | - Raffaele Ferri
- Sleep Research Centre, Oasi Research Institute-IRCCS, Troina, Italy
| | - Carlos H Schenck
- Minnesota Regional Sleep Disorders Center, and Departments of Psychiatry, Hennepin County Medical Center and University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Maria Livia Fantini
- Université Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand University Hospital, Neurophysiology Department, Clermont-Ferrand, France
| | - Monica Puligheddu
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Neurology Unit, Department of Medical Sciences and Public Health, University of Cagliari and AOU Cagliari, Monserrato, Cagliari, Italy
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10
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Figorilli M, Meloni M, Lanza G, Casaglia E, Lecca R, Saibene FL, Congiu P, Puligheddu M. Considering REM Sleep Behavior Disorder in the Management of Parkinson's Disease. Nat Sci Sleep 2023; 15:333-352. [PMID: 37180094 PMCID: PMC10167974 DOI: 10.2147/nss.s266071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
Rapid eye movement (REM) sleep behavior disorder (RBD) is the result of the loss of physiological inhibition of muscle tone during REM sleep, characterized by dream-enacting behavior and widely recognized as a prodromal manifestation of alpha-synucleinopathies. Indeed, patients with isolated RBD (iRBD) have an extremely high estimated risk to develop a neurodegenerative disease after a long follow up. Nevertheless, in comparison with PD patients without RBD (PDnoRBD), the occurrence of RBD in the context of PD (PDRBD) seems to identify a unique, more malignant phenotype, characterized by a more severe burden of disease in terms of both motor and non-motor symptoms and increased risk for cognitive decline. However, while some medications (eg, melatonin, clonazepam, etc.) and non-pharmacological options have been found to have some therapeutic benefits on RBD there is no available treatment able to modify the disease course or, at least, slow down the neurodegenerative process underlying phenoconversion. In this scenario, the long prodromal phase may allow an early therapeutic window and, therefore, the identification of multimodal biomarkers of disease onset and progression is becoming increasingly crucial. To date, several clinical (motor, cognitive, olfactory, visual, and autonomic features) neurophysiological, neuroimaging, biological (biofluids or tissue biopsy), and genetic biomarkers have been identified and proposed, also in combination, as possible diagnostic or prognostic markers, along with a potential role for some of them as outcome measures and index of treatment response. In this review, we provide an insight into the present knowledge on both existing and future biomarkers of iRBD and highlight the difference with PDRBD and PDnoRBD, including currently available treatment options.
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Affiliation(s)
- Michela Figorilli
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Mario Meloni
- IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Giuseppe Lanza
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
- Clinical Neurophysiology Research Unit, Oasi Research Institute-IRCCS, Troina, Italy
| | - Elisa Casaglia
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Rosamaria Lecca
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | | | - Patrizia Congiu
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Monica Puligheddu
- Sleep Disorder Research Center, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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11
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Influence of RBD onset on the clinical characteristics of Parkinson's disease patients: a retrospective study. J Neurol 2023; 270:3171-3178. [PMID: 36897388 DOI: 10.1007/s00415-023-11659-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/27/2023] [Accepted: 03/02/2023] [Indexed: 03/11/2023]
Abstract
INTRODUCTION In Parkinson's disease (PD), rapid eye movement (REM) sleep behavior disorder (RBD) might either precede the appearance of motor symptoms, or develop during the disease course. PD patients with RBD are characterized by a higher burden of cognitive impairment and hallucinations. However, few studies have analyzed the clinical characteristics of PD patients according to the timeline of RBD onset. METHODS PD patients have been retrospectively enrolled. Presence and onset of probable RBD (pRBD) has been evaluated using RBD Screening Questionnaire (score ≥ 6). Presence of Mild Cognitive Impairment (MCI) at baseline has been evaluated using the MDS criteria level II. Presence of motor complications and hallucinations has been evaluated at a 5-year follow-up. RESULTS A total of 115 PD patients (65 men, 56.5%; mean age 62.5 ± 9.7 years; mean disease duration 3.7 ± 3.9 years) have been enrolled. Out of these, 63 fulfilled the diagnosis of pRBD (54.8%) with 21 (33.3%) reporting the RBD onset before the onset of the motor symptoms (PD-RBDpre), and 42 (66.7%) after the motor symptoms (PD-RBDpost). At enrolment presence of MCI was associated with PD-RBDpre patients (OR 5.04; 95% CI 1.33-19.05; p value 0.02). At follow-up, a higher risk of developing hallucinations was also associated with PD-RBDpre (OR 4.68; 95% CI 1.24-17.63; p = 0.022). CONCLUSIONS PD patients with RBD occurring before the onset of motor symptoms represent a subgroup of patients with a more severe cognitive phenotype and with a higher risk of developing hallucinations along the disease course, with significant implications in terms of prognostic stratification and therapeutic approach.
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12
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Mombelli S, Leitner C, D'Este G, Sforza M, Marelli S, Castelnuovo A, Zucconi M, Casoni F, Fantini ML, Novellino F, Salsone M, Ferini-Strambi L, Galbiati A. A data-driven approach to neuropsychological features in isolated REM behaviour disorder: A latent class analysis. J Neuropsychol 2023; 17:161-179. [PMID: 36192363 DOI: 10.1111/jnp.12292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 06/28/2022] [Indexed: 11/30/2022]
Abstract
Recent evidence demonstrated that neuropsychological assessment may be considered a valid marker of neurodegeneration in idiopathic REM sleep behaviour disorder (iRBD). However, little is known about the possible neuropsychological heterogeneity within the iRBD population. This retrospective study aimed to identify and describe different neuropsychological phenotypes in iRBD patients by means of a data-driven approach using latent class analysis. A total of 289 iRBD patients underwent a neuropsychological assessment evaluating cognitive domains: global cognition, language, short- and long-term memory, executive functions and visuospatial abilities. The presence of mild cognitive impairment (MCI) was also assessed. Latent class analysis was carried out to identify iRBD subtypes according to neuropsychological scores. The most parsimonious model identified three latent classes. Groups were labelled as follows: Class 2 "severely impaired" (n = 83/289): mean pathological scores in different tests, a high percentage of MCI multiple-domain and impairment in all neuropsychological domains. Class 1 "moderately impaired" (n = 44/289): mean neuropsychological score within the normal value, a high percentage of MCI (high risk to phenoconversion) and great impairment in the visuospatial domain. Class 3 "slightly impaired" (n = 162/289): no deficit worthy of attention except for short- and long-term memory. Our results suggest three different clinical phenotypes within the iRBD population. These findings may be relevant in the future for predicting the clinical trajectories of phenoconversion in iRBD.
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Affiliation(s)
- Samantha Mombelli
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Caterina Leitner
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Giada D'Este
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Marco Sforza
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Sara Marelli
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandra Castelnuovo
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Marco Zucconi
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesca Casoni
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Livia Fantini
- Sleep and EEG, Neurophysiology Unit, Clermont-Ferrand University Hospital and UMR 6602 - Université Clermont Auvergne, CNRS, Institut Pascal, Clermont-Ferrand, France
| | - Fabiana Novellino
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council, Catanzaro, Italy.,Department of Pharmacology and Toxicology, School of Medicine, Universidad Complutense de Madrid (UCM), Madrid, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Investigación Neuroquímica (IUINQ-UCM), Madrid, Spain.,Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas12), Madrid, Spain
| | - Maria Salsone
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy.,Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council, Catanzaro, Italy
| | - Luigi Ferini-Strambi
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Andrea Galbiati
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
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13
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Vacca M, Assogna F, Pellicano C, Chiaravalloti A, Placidi F, Izzi F, Camedda R, Schillaci O, Spalletta G, Lombardo C, Mercuri NB, Liguori C. Neuropsychiatric, neuropsychological, and neuroimaging features in isolated REM sleep behavior disorder: The importance of MCI. Sleep Med 2022; 100:230-237. [PMID: 36116292 DOI: 10.1016/j.sleep.2022.08.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/23/2022] [Accepted: 08/25/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Mild cognitive impairment (MCI) is frequently diagnosed in patients with isolated rapid eye movement (REM) sleep behavior disorder (iRBD), although the extent of MCI-associated neuropathology has not yet been quantified. The present study compared the differences in neuropsychiatric, neuropsychological, and neuroimaging markers of neurodegeneration in MCI-iRBD and iRBD patients with normal cognition. METHODS Sixty-one patients with iRBD were included in the study: 30 patients were included in the MCI subgroup (RBD-MCI) and 31 in the normal cognition subgroup (RBD-NC). Both groups underwent neuropsychiatric and neuropsychological assessments to evaluate psychopathological symptoms and neuropsychological functions. Brain [18F]FDG PET and 123I-FP-CIT-SPECT were performed to evaluate brain glucose metabolism and nigrostriatal dopaminergic function in convenient subgroups of patients, respectively. RESULTS Neuropsychological measures generally confirmed overall cognitive decline in patients with iRBD-MCI. Immediate long-term verbal memory and visuospatial functions, as well as attentional-executive impairment were evident in the MCI group compared to the NC group. Neuroimaging results indicated reduced brain glucose uptake in the bilateral posterior cingulate cortex and more evident nigrostriatal deafferentation in the RBD-MCI group. There were no differences in psychopathological symptoms between the two groups. CONCLUSIONS This study confirmed that iRBD patients with MCI had a more impaired cognitive status that those with NC. Moreover, the MCI subgroup presented reduced cerebral glucose consumption in brain areas critical for cognition, and a more severe deafferentation of the nigro-striatal regions, highlighting the importance of identifying iRBD patients with MCI for urgent neuroprotective trials.
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Affiliation(s)
| | | | | | - Agostino Chiaravalloti
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy; IRCCS Neuromed, Pozzilli, Italy
| | - Fabio Placidi
- Sleep Medicine Center, Neurology Unit, University Hospital of Rome "Tor Vergata", Italy; Department of Systems Medicine, University of Rome "Tor Vergata", Italy
| | - Francesca Izzi
- Sleep Medicine Center, Neurology Unit, University Hospital of Rome "Tor Vergata", Italy
| | - Riccardo Camedda
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy
| | - Orazio Schillaci
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy
| | | | | | - Nicola Biagio Mercuri
- IRCCS Santa Lucia Foundation, Rome, Italy; Sleep Medicine Center, Neurology Unit, University Hospital of Rome "Tor Vergata", Italy; Department of Systems Medicine, University of Rome "Tor Vergata", Italy
| | - Claudio Liguori
- Sleep Medicine Center, Neurology Unit, University Hospital of Rome "Tor Vergata", Italy; Department of Systems Medicine, University of Rome "Tor Vergata", Italy.
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14
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Wenke Š, Mana J, Havlík F, Cohn M, Nikolai T, Buschke H, Nepožitek J, Peřinová P, Dostálová S, Ibarburu Lorenzo Y Losada V, Růžička E, Šonka K, Dušek P, Bezdicek O. Characterization of memory profile in idiopathic REM sleep behavior disorder. J Clin Exp Neuropsychol 2022; 44:237-250. [DOI: 10.1080/13803395.2022.2107182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Affiliation(s)
- Štěpán Wenke
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Josef Mana
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Filip Havlík
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Melanie Cohn
- Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Tomáš Nikolai
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Herman Buschke
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York City, New York, USA
| | - Jiří Nepožitek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Pavla Peřinová
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Simona Dostálová
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Veronika Ibarburu Lorenzo Y Losada
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Evžen Růžička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Karel Šonka
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Petr Dušek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Ondrej Bezdicek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
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15
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Šubert M, Šimek M, Novotný M, Tykalová T, Bezdíček O, Růžička E, Šonka K, Dušek P, Rusz J. Linguistic Abnormalities in Isolated Rapid Eye Movement Sleep Behavior Disorder. Mov Disord 2022; 37:1872-1882. [PMID: 35799404 DOI: 10.1002/mds.29140] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/18/2022] [Accepted: 06/13/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Patients with synucleinopathies frequently display language abnormalities. However, whether patients with isolated rapid eye movement sleep behavior disorder (iRBD) have prodromal language impairment remains unknown. OBJECTIVE We examined whether the linguistic abnormalities in iRBD can serve as potential biomarkers for conversion to synucleinopathy, including the possible effect of mild cognitive impairment (MCI), speaking task, and automation of analysis procedure. METHODS We enrolled 139 Czech native participants, including 40 iRBD without MCI and 14 iRBD with MCI, compared with 40 PD without MCI, 15 PD with MCI, and 30 healthy control subjects. Spontaneous discourse and story-tale narrative were transcribed and linguistically annotated. A quantitative analysis was performed computing three linguistic features. Human annotations were compared with fully automated annotations. RESULTS Compared with control subjects, patients with iRBD showed poorer content density, reflecting the reduction of content words and modifiers. Both PD and iRBD subgroups with MCI manifested less occurrence of unique words and a higher number of n-grams repetitions, indicating poorer lexical richness. The spontaneous discourse task demonstrated language impairment in iRBD without MCI with an area under the curve of 0.72, while the story-tale narrative task better reflected the presence of MCI, discriminating both PD and iRBD subgroups with MCI from control subjects with an area under the curve of up to 0.81. A strong correlation between manually and automatically computed results was achieved. CONCLUSIONS Linguistic features might provide a reliable automated method for detecting cognitive decline caused by prodromal neurodegeneration in subjects with iRBD, providing critical outcomes for future therapeutic trials. © 2022 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Martin Šubert
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Michal Šimek
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Michal Novotný
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Tereza Tykalová
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Ondřej Bezdíček
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Evžen Růžička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Karel Šonka
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Petr Dušek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jan Rusz
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic.,Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.,Department of Neurology & ARTORG Center, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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16
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Wang C, Chen F, Li Y, Liu J. Possible predictors of phenoconversion in isolated REM sleep behaviour disorder: a systematic review and meta-analysis. J Neurol Neurosurg Psychiatry 2022; 93:395-403. [PMID: 34937751 DOI: 10.1136/jnnp-2021-328062] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 12/07/2021] [Indexed: 11/03/2022]
Abstract
BACKGROUND A number of promising biomarkers for predicting imminent α-synucleinopathies have been suggested in isolated rapid eye movement sleep behaviour disorder (iRBD). However, existing evidence is conflicting without quantitative evaluation. METHODS PubMed, Web of Science and ClinicalTrials.gov were searched through June 2021 to identify possible predictors of phenoconversion from iRBD to Parkinson's disease (PD). The pooled HRs and standardised mean differences (SMDs) with 95% CIs were calculated using fixed-effects or random-effects model. RESULTS A total of 123 studies were included in the meta-analysis. Significant motor dysfunction (HR 1.83, 95% CI 1.33 to 2.51, I2=86.8%, p<0.001), constipation (HR 1.52, 95% CI 1.26 to 1.84, I2=8.3%, p=0.365), orthostatic hypotension (HR 1.93, 95% CI 1.05 to 3.53, I2=54.9%, p=0.084), hyposmia (HR 2.78, 95% CI 1.83 to 4.23, I2=23.9%, p=0.255), mild cognitive impairment (HR 2.27, 95% CI 1.58 to 3.27, I2=0%, p=0.681) and abnormal colour vision (SMD -0.34, 95% CI -0.63 to -0.05, I2=45.6%, p=0.087) correlated with susceptibility to PD. The process can also be traced by putaminal dopamine transporter imaging (HR 2.60, 95% CI 1.94 to 3.48, I2=0%, p=0.781) and tonic electromyographic activity (HR 1.50, 95% CI 1.04 to 2.15, I2=70%, p=0.018). CONCLUSIONS The predictive value of each biomarker was initially highlighted with comprehensive evaluation. Combining specific predictors with high sensitivity is promising for detecting phenoconversion in the prodromal stage. Large-scale and multicentre studies are pivotal to extend our findings.
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Affiliation(s)
- Chunyi Wang
- Department of Neurology & Institute of Neurology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fangzheng Chen
- Department of Neurology & Institute of Neurology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanyuan Li
- Department of Neurology & Institute of Neurology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Liu
- Department of Neurology & Institute of Neurology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China .,CAS Center for Excellence in Brain Science & Intelligence Technology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Co-innovation Center of Neuroregneration, Nantong University, Nantong, China
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17
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de Natale ER, Wilson H, Politis M. Predictors of RBD progression and conversion to synucleinopathies. Curr Neurol Neurosci Rep 2022; 22:93-104. [PMID: 35274191 PMCID: PMC9001233 DOI: 10.1007/s11910-022-01171-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/15/2021] [Indexed: 12/17/2022]
Abstract
Purpose of review Rapid eye movement (REM) sleep behaviour disorder (RBD) is considered the expression of the initial neurodegenerative process underlying synucleinopathies and constitutes the most important marker of their prodromal phase. This article reviews recent research from longitudinal research studies in isolated RBD (iRBD) aiming to describe the most promising progression biomarkers of iRBD and to delineate the current knowledge on the level of prediction of future outcome in iRBD patients at diagnosis. Recent findings Longitudinal studies revealed the potential value of a variety of biomarkers, including clinical markers of motor, autonomic, cognitive, and olfactory symptoms, neurophysiological markers such as REM sleep without atonia and electroencephalography, genetic and epigenetic markers, cerebrospinal fluid and serum markers, and neuroimaging markers to track the progression and predict phenoconversion. To-date the most promising neuroimaging biomarker in iRBD to aid the prediction of phenoconversion is striatal presynaptic striatal dopaminergic dysfunction. Summary There is a variety of potential biomarkers for monitoring disease progression and predicting iRBD conversion into synucleinopathies. A combined multimodal biomarker model could offer a more sensitive and specific tool. Further longitudinal studies are warranted to iRBD as a high-risk population for early neuroprotective interventions and disease-modifying therapies.
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Affiliation(s)
| | - Heather Wilson
- Neurodegeneration Imaging Group, University of Exeter Medical School, London, UK
| | - Marios Politis
- Neurodegeneration Imaging Group, University of Exeter Medical School, London, UK.
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18
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Puligheddu M, Figorilli M, Antelmi E, Arnaldi D, Casaglia E, d’Aloja E, Ferini-Strambi L, Ferri R, Gigli GL, Ingravallo F, Maestri M, Terzaghi M, Plazzi G. Predictive risk factors of phenoconversion in idiopathic REM sleep behavior disorder: the Italian study "FARPRESTO". Neurol Sci 2022; 43:6919-6928. [PMID: 36087148 PMCID: PMC9663351 DOI: 10.1007/s10072-022-06374-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 08/27/2022] [Indexed: 01/17/2023]
Abstract
Most patients with idiopathic REM sleep behavior disorder (iRBD) will develop an overt α-synucleinopathy over time, with a rate of phenoconversion of 73.5% after 12 years from diagnosis. Several markers of phenoconversion were identified; however, most studies investigated biomarkers separately, with retrospective study designs, in small cohorts or without standardized data collection methods. The risk FActoRs PREdictive of phenoconversion in idiopathic REM sleep behavior disorder: the Italian STudy (FARPRESTO) is a multicentric longitudinal retrospective and prospective study with a cohort of incident (prospective recruitment) and prevalent (retrospective recruitment) iRBD patients, whose primary aim is to stratify the risk of phenoconversion, through the systematic collection by means of electronic case report forms of different biomarkers. Secondary aims are to (1) describe the sociodemographic and clinical characteristics of patients with iRBD; (2) collect longitudinal data about the development of α-synucleinopathies; (3) monitor the impact of iRBD on quality of life and sleep quality; (4) assess the correlation between phenoconversion, cognitive performance, and loss of normal muscle atony during REM sleep; (5) identify RBD phenotypes through evaluating clinical, biological, neurophysiological, neuropsychological, and imaging biomarkers; and (6) validate vPSG criteria for RBD diagnosis. The FARPRESTO study will collect a large and harmonized dataset, assessing the role of different biomarkers providing a unique opportunity for a holistic, multidimensional, and personalized approach to iRBD, with several possible application and impact at different levels, from basic to clinical research, and from prevention to management. The FARPRESTO has been registered at clinicaltrials.gov (NCT05262543).
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Affiliation(s)
- Monica Puligheddu
- Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari , Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy
| | - Michela Figorilli
- Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari , Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy
| | - Elena Antelmi
- Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | - Dario Arnaldi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Largo Daneo 3, 16132 Genoa, Italy ,IRCCS Ospedale Policlinico S. Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Elisa Casaglia
- Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari , Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy
| | - Ernesto d’Aloja
- Department of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy
| | - Luigi Ferini-Strambi
- Vita-Salute San Raffaele University, Milan, Italy ,Department of Clinical Neurosciences, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Gian Luigi Gigli
- Dipartimento di Area Medica (DAME), Università di Udine e Clinica Neurologica e di Neuroriabilitazione, Azienda Sanitaria Universitaria Friuli Centrale, Ospedale “Santa Maria della Misericordia”, Udine, Italy
| | - Francesca Ingravallo
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Irnerio 49, 40126 Bologna, Italy
| | - Michelangelo Maestri
- Department of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy
| | - Michele Terzaghi
- IRCCS Mondino Foundation, Pavia, Italy ,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Giuseppe Plazzi
- IRCCS, Istituto delle Scienze Neurologiche Di Bologna, Bologna, Italy ,Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
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19
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Jeong E, Cha KS, Shin HR, Kim EY, Jun JS, Kim TJ, Byun JI, Shin JW, Sunwoo JS, Jung KY. Alerting network alteration in isolated rapid eye movement sleep behavior disorder patients with mild cognitive impairment. Sleep Med 2021; 89:10-18. [PMID: 34864507 DOI: 10.1016/j.sleep.2021.11.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/28/2021] [Accepted: 11/03/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Mild cognitive impairment (MCI) was found in 30-50% of the isolated REM sleep behavior disorder (iRBD) patients. Furthermore, it is known that patients with Parkinson's disease have attention network defects. Given that iRBD is known to be the prodromal disease of α-synucleinopathies, our aim was to investigate whether there are attention network dysfunctions in iRBD patients following the presence of MCI. METHODS 14 healthy controls, 48 iRBD patients, 24 with MCI and 24 without MCI, were included in this study. Attention network task (ANT) was used to assess alerting, orienting, and executive control networks. Event-related potentials (ERPs) and behavioral performances were recorded during the ANT. Parietal N1 and P3 components were analyzed to find effects of the three attention networks. RESULTS IRBD patients without MCI showed neuropsychological, behavioral, and ERP results similar to those of healthy controls. On the other hand, iRBD patients with MCI showed a general decline in cognitive domains with no alerting effect (controls, p = 0.043; iRBD-noMCI, p = 0.014; iRBD-MCI, p = 0.130) while preserving orienting and executive control effect. Furthermore, iRBD patients with MCI had impairments in executive function and verbal memory domains, compared to iRBD patients without MCI. CONCLUSIONS Our findings indicate that when cognition is reduced to MCI levels in iRBD patients, the attention network, especially the alerting component, is impaired. The attention network and cognition, on the other hand, can be preserved in iRBD patients due to the compensatory mechanism.
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Affiliation(s)
- El Jeong
- Interdisciplinary Program in Bioengineering, College of Engineering, Seoul National University, Seoul, South Korea
| | - Kwang Su Cha
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Hye-Rim Shin
- Department of Neurology, Dankook University Hospital, Cheonan, South Korea
| | - Eun Young Kim
- Department of Neurology, Chungnam National University Sejong Hospital, Sejong, South Korea
| | - Jin-Sun Jun
- Department of Neurology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Tae-Joon Kim
- Department of Neurology, Ajou University School of Medicine, Suwon, South Korea
| | - Jung-Ick Byun
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Seoul, South Korea
| | - Jung-Won Shin
- Department of Neurology, CHA University, Bundang CHA Medical Center, Seongnam, South Korea
| | - Jun-Sang Sunwoo
- Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea
| | - Ki-Young Jung
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
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20
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Miglis MG, Adler CH, Antelmi E, Arnaldi D, Baldelli L, Boeve BF, Cesari M, Dall'Antonia I, Diederich NJ, Doppler K, Dušek P, Ferri R, Gagnon JF, Gan-Or Z, Hermann W, Högl B, Hu MT, Iranzo A, Janzen A, Kuzkina A, Lee JY, Leenders KL, Lewis SJG, Liguori C, Liu J, Lo C, Ehgoetz Martens KA, Nepozitek J, Plazzi G, Provini F, Puligheddu M, Rolinski M, Rusz J, Stefani A, Summers RLS, Yoo D, Zitser J, Oertel WH. Biomarkers of conversion to α-synucleinopathy in isolated rapid-eye-movement sleep behaviour disorder. Lancet Neurol 2021; 20:671-684. [PMID: 34302789 DOI: 10.1016/s1474-4422(21)00176-9] [Citation(s) in RCA: 120] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 05/24/2021] [Accepted: 05/25/2021] [Indexed: 12/19/2022]
Abstract
Patients with isolated rapid-eye-movement sleep behaviour disorder (RBD) are commonly regarded as being in the early stages of a progressive neurodegenerative disease involving α-synuclein pathology, such as Parkinson's disease, dementia with Lewy bodies, or multiple system atrophy. Abnormal α-synuclein deposition occurs early in the neurodegenerative process across the central and peripheral nervous systems and might precede the appearance of motor symptoms and cognitive decline by several decades. These findings provide the rationale to develop reliable biomarkers that can better predict conversion to clinically manifest α-synucleinopathies. In addition, biomarkers of disease progression will be essential to monitor treatment response once disease-modifying therapies become available, and biomarkers of disease subtype will be essential to enable prediction of which subtype of α-synucleinopathy patients with isolated RBD might develop.
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Affiliation(s)
- Mitchell G Miglis
- Department of Neurology and Neurological Sciences and Department of Psychiatry and Behavioral Science, Stanford University, Palo Alto, CA, USA.
| | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Scottsdale, AZ, USA
| | - Elena Antelmi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Dario Arnaldi
- Clinical Neurology, DINOGMI, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Luca Baldelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Bradley F Boeve
- Department of Neurology and Center for Sleep Medicine, Mayo Clinic, Rochester, MN, USA
| | - Matteo Cesari
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Irene Dall'Antonia
- Department of Neurology and Center of Clinical Neuroscience, Charles University First Faculty of Medicine, Prague, Czech Republic
| | - Nico J Diederich
- Department of Neuroscience, Centre Hospitalier de Luxembourg, Luxembourg City, Luxembourg
| | - Kathrin Doppler
- Department of Neurology, University of Würzburg, Würzburg, Germany
| | - Petr Dušek
- Department of Neurology and Center of Clinical Neuroscience, Charles University First Faculty of Medicine, Prague, Czech Republic
| | | | - Jean-François Gagnon
- Centre for Advanced Research in Sleep Medicine, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Île-de-Montréal-Hôpital du Sacré-Coeur de Montréal, Montreal, QC, Canada
| | - Ziv Gan-Or
- The Neuro-Montreal Neurological Institute-Hospital, Department of Neurology and Neurosurgery, and Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Wiebke Hermann
- Department of Neurology, University of Rostock, Rostock, Germany; German Center for Neurodegenerative Diseases (DZNE), Research Site Rostock, Rostock, Germany
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michele T Hu
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Alex Iranzo
- Sleep Disorders Center, Neurology Service, Hospital Clínic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Annette Janzen
- Department of Neurology and Section on Clinical Neuroscience, Philipps University Marburg, Marburg, Germany
| | | | - Jee-Young Lee
- Department of Neurology, Seoul National University College of Medicine, Seoul, South Korea
| | - Klaus L Leenders
- Department of Nuclear Medicine and Biomedical Imaging, University Medical Center Groningen, Groningen, Netherlands
| | - Simon J G Lewis
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Claudio Liguori
- Sleep Medicine Center, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Jun Liu
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Christine Lo
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Kaylena A Ehgoetz Martens
- Department of Kinesiology, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Jiri Nepozitek
- Department of Neurology and Center of Clinical Neuroscience, Charles University First Faculty of Medicine, Prague, Czech Republic
| | - Giuseppe Plazzi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Federica Provini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; UOC Clinica Neurologica Rete Metropolitana NEUROMET, Bellaria Hospital, Bologna, Italy
| | - Monica Puligheddu
- Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy
| | - Michal Rolinski
- Institute of Clinical Neurosciences, University of Bristol, Bristol, UK
| | - Jan Rusz
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Dallah Yoo
- Department of Neurology, Kyung Hee University Hospital, Seoul, South Korea
| | - Jennifer Zitser
- Department of Neurology and Neurological Sciences, University of California, San Francisco, CA, USA; Department of Neurology, Tel Aviv Sourasky Medical Center, Affiliate of Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Wolfgang H Oertel
- Department of Neurology and Section on Clinical Neuroscience, Philipps University Marburg, Marburg, Germany; Institute for Neurogenomics, Helmholtz Center for Health and Environment, München-Neuherberg, Germany
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21
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Terzaghi M, Romani A, Ranzani M, Callieco R, Avantaggiato F, Cremascoli R, Picascia M, Pilati L, Arnaldi D, Rustioni V, Sartori I, Zangaglia R, Pacchetti C, Colnaghi S, Versino M. Neurophysiological evaluation of visual function in iRBD: potential role in stratifying RBD conversion risk. Sleep Med 2021; 84:26-31. [PMID: 34090010 DOI: 10.1016/j.sleep.2021.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 03/01/2021] [Accepted: 05/09/2021] [Indexed: 10/21/2022]
Abstract
STUDY OBJECTIVES To evaluate neurophysiological alterations of visual function in idiopathic REM sleep Behavior Disorder (iRBD) both as markers and predictors of neurodegenerative disorders. METHODS In a longitudinal follow-up study of 46 consecutive iRBD patients (follow-up duration 8.4 ± 3.4 years), the baseline parameters in luminance-contrast pattern (VEPp), red-green color (VEPc) and motion-onset (VEPm) Visual Evoked Potentials in iRBD were compared to early (ePD) and advanced (aPD) Parkinson's Disease subjects. Parameters of latency and amplitude of iRBD converters to neurodegenerative disease were compared with those of the non-converters. RESULTS The VEP P100 mean latency values for both eyes and for both stimulation checks (30' and 15') were significantly longer in all the three groups of patients as compared to controls; moreover latencies were longer in aPD than in the iRBD group who did not differ from the ePD group. The same held true when we analyzed the number of abnormal subjects belonging to each diagnostic group with a higher number of abnormal subjects in the aPD group compared to both the ePD and in iRBD groups. Chromatic and motion potentials were not different from controls and did not differ in the 3 diagnostic groups. The iRBD subjects who converted to a neurodegenerative disorder showed longer P100 latencies and a higher occurrence of VEPp abnormalities than those who did not convert. Again chromatic and motion VEPs were not different depending on conversion. CONCLUSIONS In iRBD patients the detection of an abnormal VEPp should be considered as a red flag for possible synnucleinopathy, eventually contributing in stratifying the risk of phenoconversion.
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Affiliation(s)
- Michele Terzaghi
- Unit of Sleep Medicine and Epilepsy, IRCCS Mondino Foundation, Pavia, Italy; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
| | - Alfredo Romani
- Laboratory of Evoked Potentials, IRCCS Mondino Foundation, Pavia, Italy
| | - Marina Ranzani
- Laboratory of Evoked Potentials, IRCCS Mondino Foundation, Pavia, Italy
| | - Roberto Callieco
- Laboratory of Evoked Potentials, IRCCS Mondino Foundation, Pavia, Italy
| | | | - Riccardo Cremascoli
- Unit of Sleep Medicine and Epilepsy, IRCCS Mondino Foundation, Pavia, Italy; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Marta Picascia
- Laboratory of Neuropsychology/Alzheimer's Disease Assessment Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Laura Pilati
- Unit of Sleep Medicine and Epilepsy, IRCCS Mondino Foundation, Pavia, Italy; Department of Biomedicine and Clinical Neuroscience, University of Palermo, Italy
| | - Dario Arnaldi
- Clinical Neurology, DINOGMI, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Valter Rustioni
- Unit of Sleep Medicine and Epilepsy, IRCCS Mondino Foundation, Pavia, Italy; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Ivana Sartori
- C. Munari Center of Epilepsy Surgery, Niguarda Hospital, Milan, Italy
| | - Roberta Zangaglia
- Parkinson's Disease and Movement Disorders Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Claudio Pacchetti
- Parkinson's Disease and Movement Disorders Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Silvia Colnaghi
- Laboratory of Evoked Potentials, IRCCS Mondino Foundation, Pavia, Italy
| | - Maurizio Versino
- Neurology and Stroke Unit, ASST Sette Laghi Ospedale di Circolo, Varese; DMC University of Insubria, Varese, Italy
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22
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NREM sleep arousal-related disorders reflect cognitive impairment in Parkinson's disease. Sleep Med 2020; 75:491-496. [PMID: 33011475 DOI: 10.1016/j.sleep.2020.08.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 08/12/2020] [Accepted: 08/31/2020] [Indexed: 01/17/2023]
Abstract
BACKGROUND Sleep disorders and cognitive impairment are frequently reported in Parkinson's disease (PD) as non-motor disabling symptoms. While it is known that REM sleep Behaviour Disorder (RBD) in PD is associated with motor and cognitive decline, little is known about the neurobiological significance of NREM sleep arousal-related disorders. OBJECTIVES to evaluate the cognitive and clinical correlates of arousal-related disorders in PD. METHODS Clinical data and video-polysomnography were analysed from one hundred-seventy consecutive subjects with PD. Based on the neuropsychological assessment, the subjects were divided into three groups: no cognitive impairment (PD; n = 58), mild cognitive impairment (PD-MCI; n = 58) and overt dementia (PDD; n = 54). RESULTS Arousal-related disorders by history were reported in 32.9% of the subjects: 10.3% PD, 31.6% PD-MCI and 59.3% PDD (p = 0.001). Video-PSG captured arousal-related disorders in 1.7% PD, 21.2% MCI-PD and 35.6% PDD (p = 0.001). Arousal-related disorders and RBD were recorded in the same night in 7.7% PD, 9.8% MCI-PD and 15.6% PDD (p = 0.04). Patients with arousal-related disorders captured at V-PSG have a longer disease duration (p = 0.003), higher UPDRS score (p = 0.039), longer duration of treatment with levodopa (p = 0.017) and dopamine agonists (p = 0.018), worse H&Y staging (p = 0.001), lower MMSE score (p = 0.019) and more frequently hallucinations (p = 0.004). In multivariate analysis, cognitive impairment significantly increases the risk of arousal-related disorders (OR 3.387-95% CI 1.395-8.220, p = 0.007). CONCLUSION Arousal-related disorders appear to be a marker of cognitive decline in PD. Recognizing arousal-related disorders should make clinicians aware of a possible cognitive decline in PD and eventually modify the therapeutic approach.
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