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Do QB, Noor H, Marquez-Gomez R, Cramb KML, Ng B, Abbey A, Ibarra-Aizpurua N, Caiazza MC, Sharifi P, Lang C, Beccano-Kelly D, Baleriola J, Bengoa-Vergniory N, Wade-Martins R. Early deficits in an in vitro striatal microcircuit model carrying the Parkinson's GBA-N370S mutation. NPJ Parkinsons Dis 2024; 10:82. [PMID: 38609392 PMCID: PMC11014935 DOI: 10.1038/s41531-024-00694-2] [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: 03/11/2023] [Accepted: 03/26/2024] [Indexed: 04/14/2024] Open
Abstract
Understanding medium spiny neuron (MSN) physiology is essential to understand motor impairments in Parkinson's disease (PD) given the architecture of the basal ganglia. Here, we developed a custom three-chambered microfluidic platform and established a cortico-striato-nigral microcircuit partially recapitulating the striatal presynaptic landscape in vitro using induced pluripotent stem cell (iPSC)-derived neurons. We found that, cortical glutamatergic projections facilitated MSN synaptic activity, and dopaminergic transmission enhanced maturation of MSNs in vitro. Replacement of wild-type iPSC-derived dopamine neurons (iPSC-DaNs) in the striatal microcircuit with those carrying the PD-related GBA-N370S mutation led to a depolarisation of resting membrane potential and an increase in rheobase in iPSC-MSNs, as well as a reduction in both voltage-gated sodium and potassium currents. Such deficits were resolved in late microcircuit cultures, and could be reversed in younger cultures with antagonism of protein kinase A activity in iPSC-MSNs. Taken together, our results highlight the unique utility of modelling striatal neurons in a modular physiological circuit to reveal mechanistic insights into GBA1 mutations in PD.
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Affiliation(s)
- Quyen B Do
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
| | - Humaira Noor
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
- Nuffield Department of Medicine (NDM), University of Oxford, Henry Wellcome Building for Molecular Physiology, Old Road, Oxford, OX3 7BN, UK
| | - Ricardo Marquez-Gomez
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
| | - Kaitlyn M L Cramb
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
| | - Bryan Ng
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK
| | - Ajantha Abbey
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK
| | - Naroa Ibarra-Aizpurua
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK
| | - Maria Claudia Caiazza
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
| | - Parnaz Sharifi
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK
| | - Charmaine Lang
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
| | - Dayne Beccano-Kelly
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK
| | - Jimena Baleriola
- Achucarro Basque Center for Neuroscience, Leioa, Spain
- Ikerbasque-Basque Foundation for Science, Bilbao, Spain
| | - Nora Bengoa-Vergniory
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK.
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK.
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA.
- Achucarro Basque Center for Neuroscience, Leioa, Spain.
- Ikerbasque-Basque Foundation for Science, Bilbao, Spain.
- University of the Basque Country (UPV/EHU), Department of Neuroscience, Leioa, Spain.
| | - Richard Wade-Martins
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, South Park Road, Oxford, OX1 3QU, UK.
- Kavli Institute for Neuroscience Discovery, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Park Road, Oxford, OX1 3QU, UK.
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA.
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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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Bergmann M, Högl B, Stefani A. Clinical neurophysiology of REM parasomnias: Diagnostic aspects and insights into pathophysiology. Clin Neurophysiol Pract 2024; 9:53-62. [PMID: 38328386 PMCID: PMC10847011 DOI: 10.1016/j.cnp.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/17/2023] [Accepted: 10/22/2023] [Indexed: 02/09/2024] Open
Abstract
Parasomnias are due to a transient unstable state dissociation during entry into sleep, within sleep, or during arousal from sleep, and manifest with abnormal sleep related behaviors, perceptions, emotions, dreams, and autonomic nervous system activity. Rapid eye movement (REM) parasomnias include REM sleep behavior disorder (RBD), isolated recurrent sleep paralysis and nightmare disorder. Neurophysiology is key for diagnosing these disorders and provides insights into their pathophysiology. RBD is very well characterized from a neurophysiological point of view, also thank to the fact that polysomnography is needed for the diagnosis. Diagnostic criteria are provided by the American Academy of Sleep Medicine and video-polysomnography guidelines for the diagnosis by the International REM Sleep Behavior Disorder Study Group. Differences between the two sets of criteria are presented and discussed. Availability of polysomnography in RBD provides data on sleep electroencephalography (EEG), electrooculography (EOG) and electromyography (EMG). Sleep EEG in RBD shows e.g. changes in delta and theta power, in sleep spindles and K complexes. EMG during REM sleep is essential for RBD diagnosis and is an important neurodegeneration biomarker. RBD patients present alterations also in wake EEG, autonomic function, evoked potentials, and transcranial magnetic stimulation. Clinical neurophysiological data on recurrent isolated sleep paralysis and nightmare disorder are scant. The few available data provide insights into the pathophysiology of these disorders, demonstrating a state dissociation in recurrent isolated sleep paralysis and suggesting alterations in sleep macro- and microstructure as well as autonomic changes in nightmare disorder.
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Affiliation(s)
- Melanie Bergmann
- Department of Neurology, Sleep Laboratory, Medical University Innsbruck, Austria
| | - Birgit Högl
- Department of Neurology, Sleep Laboratory, Medical University Innsbruck, Austria
| | - Ambra Stefani
- Department of Neurology, Sleep Laboratory, Medical University Innsbruck, Austria
- Neurological Clinical Research Institute, Massachusetts General Hospital, Boston, USA
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Xu M, Qian L, Wang S, Cai H, Sun Y, Thakor N, Qi X, Sun Y. Brain network analysis reveals convergent and divergent aberrations between mild stroke patients with cortical and subcortical infarcts during cognitive task performing. Front Aging Neurosci 2023; 15:1193292. [PMID: 37484690 PMCID: PMC10358837 DOI: 10.3389/fnagi.2023.1193292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 06/09/2023] [Indexed: 07/25/2023] Open
Abstract
Although consistent evidence has revealed that cognitive impairment is a common sequela in patients with mild stroke, few studies have focused on it, nor the impact of lesion location on cognitive function. Evidence on the neural mechanisms underlying the effects of mild stroke and lesion location on cognitive function is limited. This prompted us to conduct a comprehensive and quantitative study of functional brain network properties in mild stroke patients with different lesion locations. Specifically, an empirical approach was introduced in the present work to explore the impact of mild stroke-induced cognitive alterations on functional brain network reorganization during cognitive tasks (i.e., visual and auditory oddball). Electroencephalogram functional connectivity was estimated from three groups (i.e., 40 patients with cortical infarctions, 48 patients with subcortical infarctions, and 50 healthy controls). Using graph theoretical analysis, we quantitatively investigated the topological reorganization of functional brain networks at both global and nodal levels. Results showed that both patient groups had significantly worse behavioral performance on both tasks, with significantly longer reaction times and reduced response accuracy. Furthermore, decreased global and local efficiency were found in both patient groups, indicating a mild stroke-related disruption in information processing efficiency that is independent of lesion location. Regarding the nodal level, both divergent and convergent node strength distribution patterns were revealed between both patient groups, implying that mild stroke with different lesion locations would lead to complex regional alterations during visual and auditory information processing, while certain robust cognitive processes were independent of lesion location. These findings provide some of the first quantitative insights into the complex neural mechanisms of mild stroke-induced cognitive impairment and extend our understanding of underlying alterations in cognition-related brain networks induced by different lesion locations, which may help to promote post-stroke management and rehabilitation.
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Affiliation(s)
- Mengru Xu
- Key Laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China
| | - Linze Qian
- Key Laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China
| | - Sujie Wang
- Key Laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China
| | - Huaying Cai
- Department of Neurology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Sun
- Department of Neurology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Nitish Thakor
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
| | - Xuchen Qi
- Department of Neurosurgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Neurosurgery, Shaoxing People's Hospital, Shaoxing, China
| | - Yu Sun
- Key Laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China
- Department of Neurology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- State Key Laboratory of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China
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Wan H, Wu D, Gao D, Zhao X, Wang S, Huang J, Wang Y, Zhang J, Shao X. Disturbance of functional brain networks and cognitive decline in Parkinson's disease: Severe cerebral small vessel disease aggravates this relationship. Parkinsonism Relat Disord 2023; 110:105386. [PMID: 37003243 DOI: 10.1016/j.parkreldis.2023.105386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 03/02/2023] [Accepted: 03/26/2023] [Indexed: 03/29/2023]
Abstract
INTRODUCTION Several studies have identified a relationship between functional brain network disturbance and cognitive decline in people with Parkinson's disease (PwP); however, few studies have explored whether cerebral small vessel disease (CSVD) burden modifies this relationship. This study aimed to investigate the potential moderating effect of CSVD on the relationship between functional brain network disturbance and cognitive decline in PwP. METHODS We prospectively recruited 61 PwP from Beijing Tiantan Hospital between October 2021 to September 2022. The Montreal Cognitive Assessment (MoCA) score was used to assess cognition. CSVD imaging markers were evaluated following the STandards for ReportIng Vascular changes on nEuroimaging instructions, and the CSVD burden score was calculated. The functional connectivity indicator was obtained and calculated using quantitative electroencephalography examination. The moderating effect of CSVD burden on the relationship between functional brain network disturbance and cognitive decline was examined using hierarchical linear regression. RESULTS Forty-six of 61 (75.4%) PwP had cognitive impairment. Higher global weighted phase lag index (wPLI) values in beta1 bands were significantly associated with lower adjusted MoCA scores. CSVD burden aggravated the effect of the global wPLI in beta1 bands on adjusted MoCA scores. This effect was reinforced by the high level of CSVD burden. CONCLUSIONS Higher wPLI indicates a possible pathological activation of functional brain networks that are associated with cognitive decline in PwP, and the high level of CSVD burden aggravates this relationship.
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Byun JI, Oh S, Sunwoo JS, Shin JW, Kim TJ, Jun JS, Kim HJ, Shin WC, Seong JK, Jung KY. White matter tract-specific microstructural disruption is associated with depressive symptoms in isolated RBD. Neuroimage Clin 2022; 36:103186. [PMID: 36116164 PMCID: PMC9483791 DOI: 10.1016/j.nicl.2022.103186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 07/23/2022] [Accepted: 09/02/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE White matter (WM) tract-specific changes may precede gray matter loss in isolated rapid eye movement sleep behavior disorder (iRBD). We aimed to evaluate tract-specific WM changes using tract-specific statistical analysis (TSSA) and their correlation with clinical variables in iRBD patients. METHODS This was a cross-sectional single-center study of 50 polysomnography-confirmed iRBD patients and 20 age- and sex-matched controls. We used TSSA to identify tract-specific fractional anisotropy (FA) and mean diffusivity (MD) in fourteen major fiber tracts and analyzed between-group differences in these values. Correlations between FA or MD values and clinical variables, including RBD symptom severity, depression and cognition, were evaluated. RESULTS Patients with iRBD showed lower FA in the right anterior thalamic radiation (ATR) and higher MD in the bilateral ATR and right inferior fronto-occipital fasciculus (IF-OF) than controls after adjusting for age, sex, and years of education. MD values in the IF-OF positively correlated with scores on the Korean version of the Rapid Eye Movement Sleep Behavior Disorder Questionnaire-Hong Kong (RBDQ-KR, p = 0.042) and the Korean version of the geriatric depression scale (GDS-K, p = 0.002) in iRBD patients. Only GDS-K scores independently correlated with IF-OF MD values after adjusting for RBDQ-KR scores (adjusted p = 0.026). CONCLUSION This study suggests WM microstructural disruption in the bilateral ATR and right IF-OF in patients with iRBD and that alterations in the IF-OF may contribute to depressive symptoms.
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Affiliation(s)
- Jung-Ick Byun
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Seunghwan Oh
- Department of Artificial Intelligence, Korea University, Seoul, South Korea
| | - Jun-Sang Sunwoo
- Department of Neurology, Kangbuk Samsung Hospital, Seoul, Korea
| | - Jung-Won Shin
- Department of Neurology, CHA University, CHA Bundang Medical Center, Seongnam, South Korea
| | - Tae-Joon Kim
- Department of Neurology, Ajou University School of Medicine, Suwon, Republic of South Korea
| | - Jin-Sun Jun
- Department of Neurology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Han-Joon Kim
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Won Chul Shin
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Joon-Kyung Seong
- Department of Artificial Intelligence, Korea University, Seoul, South Korea,Interdisciplinary Program in Precision Public Health, Korea University, Seoul, South Korea,School of Biomedical Engineering, Korea University, Seoul, South Korea,Corresponding authors at: School of Biomedical Engineering, Korea University, 145, Anam-ro, Anam-dong 5-ga, Seongbuk-gu, Seoul 02841, South Korea (Joon-Kyung Seong), Department of Neurology, Seoul National University Hospital, Neuroscience Research Institute, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul 110-744, South Korea (Ki-Young Jung)
| | - Ki-Young Jung
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea,Corresponding authors at: School of Biomedical Engineering, Korea University, 145, Anam-ro, Anam-dong 5-ga, Seongbuk-gu, Seoul 02841, South Korea (Joon-Kyung Seong), Department of Neurology, Seoul National University Hospital, Neuroscience Research Institute, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul 110-744, South Korea (Ki-Young Jung)
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Yang X, Li Z, Bai L, Shen X, Wang F, Han X, Zhang R, Li Z, Zhang J, Dong M, Wang Y, Cao T, Zhao S, Chu C, Liu C, Zhu X. Association of Plasma and Electroencephalography Markers With Motor Subtypes of Parkinson’s Disease. Front Aging Neurosci 2022; 14:911221. [PMID: 35903537 PMCID: PMC9314775 DOI: 10.3389/fnagi.2022.911221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 06/16/2022] [Indexed: 11/30/2022] Open
Abstract
Objective The aim of this study was to investigate the correlations of plasma neurodegenerative proteins and electroencephalography (EEG) dynamic functional network (DFN) parameters with disease progression in early Parkinson’s disease (PD) with different motor subtypes, including tremor-dominant (TD) and postural instability and gait disorder (PIGD). Methods In our study, 33 patients with PD (21 TD and 12 PIGD) and 33 healthy controls (HCs) were enrolled. Plasma neurofilament light chain (NfL), α-synuclein (α-syn), total-tau (t-tau), β-amyloid 42 (Aβ42), and β-amyloid 40 (Aβ40) levels were measured using an ultrasensitive single-molecule array (Simoa) immunoassay. All the patients with PD underwent EEG quantified by DFN analysis. The motor and non-motor performances were evaluated by a series of clinical assessments. Subsequently, a correlation analysis of plasma biomarkers and EEG measures with clinical scales was conducted. Results In the TD group, plasma NfL exhibited a significant association with MDS-UPDRS III and Montreal Cognitive Assessment (MoCA). A higher Aβ42/40 level was significantly related to a decrease in Hamilton Depression Rating Scale (HAMD) and Hamilton Anxiety Rating Scale (HAMA) in the PIGD group. In terms of the correlation between EEG characteristic parameters and clinical outcomes, trapping time (TT) delta was positively correlated with MDS-UPDRS III and MoCA scores in the TD group, especially in the prefrontal and frontal regions. For other non-motor symptoms, there were significant direct associations of kPLI theta with HAMD and HAMA, especially in the prefrontal region, and kPLI gamma was particularly correlated with Rapid Eye Movement Sleep Behavior Disorder Screening Questionnaire (RBDSQ) scores in the prefrontal, frontal, and parietal regions in the TD group. Furthermore, there was a significant positive correlation between plasma t-tau and kPLI, and pairwise correlations were found among plasma NfL, theta TT, and MoCA scores in the TD group. Conclusion These results provide evidence that plasma neurodegenerative proteins and EEG measures have great potential in predicting the disease progression of PD subtypes, especially for the TD subtype. A combination of these two kinds of markers may have a superposition effect on monitoring and estimating the prognosis of PD subtypes and deserves further research in larger, follow-up PD cohorts.
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Affiliation(s)
- Xiaoxia Yang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhen Li
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Lipeng Bai
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiao Shen
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Fei Wang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaoxuan Han
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Rui Zhang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhuo Li
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Jinghui Zhang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Mengmeng Dong
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Yanlin Wang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Tingyu Cao
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Shujun Zhao
- National Health Commission Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute Endocrinology, Tianjin Medical University, Tianjin, China
| | - Chunguang Chu
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China
- *Correspondence: Chunguang Chu,
| | - Chen Liu
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China
- Chen Liu,
| | - Xiaodong Zhu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
- Xiaodong Zhu,
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Yan Y, Zhao A, Ying W, Qiu Y, Ding Y, Wang Y, Xu W, Deng Y. Functional Connectivity Alterations Based on the Weighted Phase Lag Index: An Exploratory Electroencephalography Study on Alzheimer's Disease. Curr Alzheimer Res 2021; 18:513-522. [PMID: 34598666 DOI: 10.2174/1567205018666211001110824] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 06/24/2021] [Accepted: 08/22/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Numerous electroencephalography (EEG) studies focus on the alteration of electrical activity in patients with Alzheimer's Disease (AD), but there are no consistent results especially regarding functional connectivity. We supposed that the weighted Phase Lag Index (w- PLI), as phase-based measures of functional connectivity, may be used as an auxiliary diagnostic method for AD. METHODS We enrolled 30 patients with AD, 30 patients with Mild Cognitive Impairment (MCI), and 30 Healthy Controls (HC). EEGs were recorded in all participants at baseline during relaxed wakefulness. Following EEG preprocessing, Power Spectral Density (PSD) and wPLI parameters were determined to further analyze whether they were correlated to cognitive scores. RESULTS In the patients with AD, the increased PSD in theta band was presented compared with MCI and HC groups, which was associated with disturbances of the directional, computational, and delayed memory capacity. Furthermore, the wPLI revealed a distinctly lower connection strength between frontal and distant areas in the delta band and a higher connection strength of the central and temporo-occipital region in the theta band for AD patients. Moreover,we found a significant negative correlation between theta functional connectivity and cognitive scores. CONCLUSION Increased theta PSD and decreased delta wPLI may be one of the earliest changes in AD and associated with disease severity. The parameter wPLI is a novel measurement of phase synchronization and has potentials in understanding underlying functional connectivity and aiding in the diagnostics of AD.
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Affiliation(s)
- Yi Yan
- Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Aonan Zhao
- Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weina Ying
- Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yinghui Qiu
- Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanfei Ding
- Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Wang
- Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Xu
- Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yulei Deng
- Department of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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9
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Roascio M, Canessa A, Trò RD, Mattioli P, Famà F, Giorgetti L, Girtler N, Orso B, Morbelli S, Nobili FM, Arnaldi D, Arnulfo G. Phase and amplitude EEG correlations change with disease progression in people with idiopathic rapid eye-movement sleep behavior disorder. Sleep 2021; 45:6374127. [PMID: 34551110 PMCID: PMC8754497 DOI: 10.1093/sleep/zsab232] [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: 03/30/2021] [Revised: 08/31/2021] [Indexed: 11/21/2022] Open
Abstract
Study Objectives Increased phase synchronization in electroencephalography (EEG) bands might reflect the activation of compensatory mechanisms of cognitive decline in people with neurodegenerative diseases. Here, we investigated whether altered large-scale couplings of brain oscillations could be linked to the balancing of cognitive decline in a longitudinal cohort of people with idiopathic rapid eye-movement sleep behavior disorder (iRBD). Methods We analyzed 18 patients (17 males, 69.7 ± 7.5 years) with iRBD undergoing high-density EEG (HD-EEG), presynaptic dopaminergic imaging, and clinical and neuropsychological (NPS) assessments at two time points (time interval 24.2 ± 5.9 months). We thus quantified the HD-EEG power distribution, orthogonalized amplitude correlation, and weighted phase-lag index at both time points and correlated them with clinical, NPS, and imaging data. Results Four patients phenoconverted at follow-up (three cases of parkinsonism and one of dementia). At the group level, NPS scores decreased over time, without reaching statistical significance. However, alpha phase synchronization increased and delta amplitude correlations decreased significantly at follow-up compared to baseline. Both large-scale network connectivity metrics were significantly correlated with NPS scores but not with sleep quality indices or presynaptic dopaminergic imaging data. Conclusions These results suggest that increased alpha phase synchronization and reduced delta amplitude correlation may be considered electrophysiological signs of an active compensatory mechanism of cognitive impairment in people with iRBD. Large-scale functional modifications may be helpful biomarkers in the characterization of prodromal stages of alpha-synucleinopathies.
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Affiliation(s)
- M Roascio
- Department of Informatics, Bioengineering, Robotics and System engineering (DIBRIS), University of Genoa, Genoa, Italy
| | - A Canessa
- Department of Informatics, Bioengineering, Robotics and System engineering (DIBRIS), University of Genoa, Genoa, Italy
| | - R D Trò
- Department of Informatics, Bioengineering, Robotics and System engineering (DIBRIS), University of Genoa, Genoa, Italy
| | - P Mattioli
- Clinical Neurology, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Children's Sciences (DINOGMI), University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - F Famà
- Clinical Neurology, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Children's Sciences (DINOGMI), University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - L Giorgetti
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - N Girtler
- Clinical Neurology, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Children's Sciences (DINOGMI), University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - B Orso
- Clinical Neurology, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Children's Sciences (DINOGMI), University of Genoa, Genoa, Italy
| | - S Morbelli
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Nuclear Medicine, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - F M Nobili
- Clinical Neurology, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Children's Sciences (DINOGMI), University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - D Arnaldi
- Clinical Neurology, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Children's Sciences (DINOGMI), University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - G Arnulfo
- Department of Informatics, Bioengineering, Robotics and System engineering (DIBRIS), University of Genoa, Genoa, Italy.,Neuroscience Center, Helsinki Institute of Life Science (HiLife), University of Helsinki, Helsinki, Finland
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10
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Application of machine learning analysis based on diffusion tensor imaging to identify REM sleep behavior disorder. Sleep Breath 2021; 26:633-640. [PMID: 34236578 DOI: 10.1007/s11325-021-02434-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 06/28/2021] [Accepted: 06/30/2021] [Indexed: 12/19/2022]
Abstract
PURPOSE We evaluated the feasibility of machine learning analysis using diffusion tensor imaging (DTI) parameters to identify patients with idiopathic rapid eye movement (REM) sleep behavior disorder (RBD). We hypothesized that patients with idiopathic RBD could be identified via machine learning analysis based on DTI. METHODS We enrolled 20 patients with newly diagnosed idiopathic RBD at a tertiary hospital. We also included 20 healthy subjects as a control group. All of the subjects underwent DTI. We obtained the conventional DTI parameters and structural connectomic profiles from the DTI. We investigated the differences in conventional DTI measures and structural connectomic profiles between patients with idiopathic RBD and healthy controls. We then used machine learning analysis using a support vector machine (SVM) algorithm to identify patients with idiopathic RBD using conventional DTI and structural connectomic profiles. RESULTS Several regions showed significant differences in conventional DTI measures and structural connectomic profiles between patients with idiopathic RBD and healthy controls. The SVM classifier based on conventional DTI measures revealed an accuracy of 87.5% and an area under the curve of 0.900 to identify patients with idiopathic RBD. Another SVM classifier based on structural connectomic profiles yielded an accuracy of 75.0% and an area under the curve of 0.833. CONCLUSION Our findings demonstrate the feasibility of machine learning analysis based on DTI to identify patients with idiopathic RBD. The conventional DTI parameters might be more important than the structural connectomic profiles in identifying patients with idiopathic RBD.
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11
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Sunwoo JS, Cha KS, Byun JI, Jun JS, Kim TJ, Shin JW, Lee ST, Jung KH, Park KI, Chu K, Kim M, Lee SK, Kim HJ, Schenck CH, Jung KY. Nonrapid eye movement sleep electroencephalographic oscillations in idiopathic rapid eye movement sleep behavior disorder: a study of sleep spindles and slow oscillations. Sleep 2021; 44:5896006. [PMID: 32827438 DOI: 10.1093/sleep/zsaa160] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 08/18/2020] [Indexed: 12/29/2022] Open
Abstract
STUDY OBJECTIVES We investigated electroencephalographic (EEG) slow oscillations (SOs), sleep spindles (SSs), and their temporal coordination during nonrapid eye movement (NREM) sleep in patients with idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD). METHODS We analyzed 16 patients with video-polysomnography-confirmed iRBD (age, 65.4 ± 6.6 years; male, 87.5%) and 10 controls (age, 62.3 ± 7.5 years; male, 70%). SSs and SOs were automatically detected during stage N2 and N3. We analyzed their characteristics, including density, frequency, duration, and amplitude. We additionally identified SO-locked spindles and examined their phase distribution and phase locking with the corresponding SO. For inter-group comparisons, we used the independent samples t-test or Wilcoxon rank-sum test, as appropriate. RESULTS The SOs of iRBD patients had significantly lower amplitude, longer duration (p = 0.005 for both), and shallower slope (p < 0.001) than those of controls. The SS power of iRBD patients was significantly lower than that of controls (p = 0.002), although spindle density did not differ significantly. Furthermore, SO-locked spindles of iRBD patients prematurely occurred during the down-to-up-state transition of SOs, whereas those of controls occurred at the up-state peak of SOs (p = 0.009). The phase of SO-locked spindles showed a positive correlation with delayed recall subscores (p = 0.005) but not with tonic or phasic electromyography activity during REM sleep. CONCLUSIONS In this study, we found abnormal EEG oscillations during NREM sleep in patients with iRBD. The impaired temporal coupling between SOs and SSs may reflect early neurodegenerative changes in iRBD.
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Affiliation(s)
- Jun-Sang Sunwoo
- Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea
| | - Kwang Su Cha
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea
| | - Jung-Ick Byun
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, 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-Won Shin
- Department of Neurology, CHA Bundang Medical Center, CHA University, Seongnam, South Korea
| | - Soon-Tae Lee
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea
| | - Keun-Hwa Jung
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea
| | - Kyung-Il Park
- Department of Neurology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea
| | - Kon Chu
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea
| | - Manho Kim
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea.,Protein Metabolism and Dementia Research Center, Seoul National University College of Medicine, Seoul, South Korea
| | - Sang Kun Lee
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea.,Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Han-Joon Kim
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea
| | - Carlos H Schenck
- Minnesota Regional Sleep Disorders Center and Department of Psychiatry, Hennepin County Medical Center, University of Minnesota Medical School, Minneapolis, MN
| | - Ki-Young Jung
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea.,Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, South Korea
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12
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Byun JI, Cha KS, Kim M, Lee WJ, Lee HS, Sunwoo JS, Shin JW, Kim TJ, Moon J, Lee ST, Jung KH, Chu K, Kim MH, Kim HJ, Shin WC, Lee SK, Jung KY. Altered insular functional connectivity in isolated REM sleep behavior disorder: a data-driven functional MRI study. Sleep Med 2021; 79:88-93. [PMID: 33485260 DOI: 10.1016/j.sleep.2020.12.038] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 12/17/2020] [Accepted: 12/29/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Functional connectivity (FC) changes can occur prior to structural changes. This study aimed to evaluate data-driven whole-brain FC associated with isolated rapid eye movement sleep behavior disorder (iRBD) using multivariate pattern analysis (MVPA). METHODS This was a cross-sectional study of 50 polysomnography-confirmed iRBD patients and 20 age- and sex-matched controls. We used MVPA implemented in the connectome-MVPA CONN toolbox to identify data-driven seed regions for post hoc seed-to-voxel connectivity analysis. The association between FC changes and clinical characteristics, including cognition, depression, autonomic function, and daytime sleepiness, was evaluated. RESULTS MVPA revealed one significant cluster located in the left posterior insular cortex. Seed-to-voxel FC analysis using the cluster as a seed showed significantly reduced FC with two clusters located in the precuneus in iRBD patients compared to the controls. The degree of FC was associated with the Montreal Cognitive Assessment-Korean version scores (r = 0.317, p = 0.025). CONCLUSION This study emphasizes the insula as an important neural correlate associated with iRBD that was associated with cognitive function.
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Affiliation(s)
- Jung-Ick Byun
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Kwang Su Cha
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Woo-Jin Lee
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Han Sang Lee
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Jun-Sang Sunwoo
- Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea
| | - Jung-Won Shin
- Department of Neurology, CHA Bundang Medical Center, CHA University, Seongnam, South Korea
| | - Tae-Joon Kim
- Department of Neurology, Ajou University School of Medicine, Suwon, South Korea
| | - Jangsup Moon
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea; Rare Disease Center, Seoul National University Hospital, Seoul, South Korea
| | - Soon-Tae Lee
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Keun-Hwa Jung
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Kon Chu
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Man-Ho Kim
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea; Protein Metabolism and Neuroscience Research Center, College of Medicine, Seoul National University, Seoul, South Korea
| | - Han-Joon Kim
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Won Chul Shin
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Sang Kun Lee
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, 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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13
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Sunwoo JS, Cha KS, Byun JI, Kim TJ, Jun JS, Lim JA, Lee ST, Jung KH, Park KI, Chu K, Kim HJ, Kim M, Lee SK, Kim KH, Schenck CH, Jung KY. Abnormal activation of motor cortical network during phasic REM sleep in idiopathic REM sleep behavior disorder. Sleep 2019; 42:5184577. [PMID: 30445515 DOI: 10.1093/sleep/zsy227] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Indexed: 11/14/2022] Open
Abstract
Study Objectives We investigated electroencephalography (EEG) power spectral density and functional connectivity during phasic and tonic rapid eye movement (REM) sleep, and examined any differences between patients with idiopathic REM sleep behavior disorder (iRBD) and controls. Methods EEG data from 13 people with iRBD (mean age, 66.3 years; men, 84.6%) and 10 controls (mean age, 62.3 years; men, 70%) were analyzed. We selected thirty 3 s miniepochs of both tonic and phasic REM sleep. We estimated relative power for six frequency bands. For functional connectivity analysis, we calculated weighted phase lag index (wPLI) and conducted pairwise comparisons between the two groups. Results EEG power spectral analysis revealed significant interactions between the REM sleep state (phasic vs. tonic) and group at sigma (p = 0.009) and beta (p = 0.002) bands. Sigma- and beta-power decrease during phasic REM sleep was more pronounced and extensive in people with iRBD than in controls. Regarding functional connectivity, there were significant interactions between the REM sleep state and group at alpha (p = 0.029), sigma (p = 0.047), beta (p = 0.015), and gamma (p = 0.046) bands. The average wPLI was significantly higher during phasic REM sleep than during tonic REM sleep, which was observed in people with iRBD but not in controls. The altered functional connections mainly involved the frontal and parietal regions at beta and gamma bands. Conclusions Our findings provide neurophysiological evidence for pathological motor cortex activation during phasic REM sleep which may be associated with generation of dream-enacting behaviors in iRBD.
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Affiliation(s)
- Jun-Sang Sunwoo
- Department of Neurology, Soonchunhyang University College of Medicine, Seoul, South Korea
| | - Kwang Su Cha
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea
| | - Jung-Ick Byun
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Seoul, South Korea
| | - Tae-Joon Kim
- Department of Neurology, National Center for Mental Health, Seoul, South Korea
| | - Jin-Sun Jun
- Department of Neurology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Jung-Ah Lim
- Department of Neurology, Gangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
| | - Soon-Tae Lee
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea.,Program in Neuroscience, Seoul National University College of Medicine, Seoul, South Korea
| | - Keun-Hwa Jung
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea.,Program in Neuroscience, Seoul National University College of Medicine, Seoul, South Korea
| | - Kyung-Il Park
- Department of Neurology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea
| | - Kon Chu
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea.,Program in Neuroscience, Seoul National University College of Medicine, Seoul, South Korea
| | - Han-Joon Kim
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea
| | - Manho Kim
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea.,Program in Neuroscience, Seoul National University College of Medicine, Seoul, South Korea.,Protein Metabolism Medical Research Center, Seoul National University College of Medicine, Seoul, South Korea
| | - Sang Kun Lee
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea.,Program in Neuroscience, Seoul National University College of Medicine, Seoul, South Korea.,Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Kyung Hwan Kim
- Department of Biomedical Engineering, College of Health Science, Yonsei University, Wonju, South Korea
| | - Carlos H Schenck
- Minnesota Regional Sleep Disorders Center, and Department of Psychiatry, Hennepin County Medical Center and University of Minnesota Medical School, Minneapolis, MN
| | - Ki-Young Jung
- Department of Neurology, Seoul National University Hospital, Seoul, South Korea.,Program in Neuroscience, Seoul National University College of Medicine, Seoul, South Korea.,Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, South Korea
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14
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Ferini-Strambi L, Fasiello E, Sforza M, Salsone M, Galbiati A. Neuropsychological, electrophysiological, and neuroimaging biomarkers for REM behavior disorder. Expert Rev Neurother 2019; 19:1069-1087. [PMID: 31277555 DOI: 10.1080/14737175.2019.1640603] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Introduction: Rapid eye movement (REM) sleep behavior disorder (RBD) is a REM sleep parasomnia characterized by dream enacting behaviors allowed by the loss of physiological atonia during REM sleep. This disorder is recognized as a prodromal stage of neurodegenerative disease, in particular Parkinson's Disease (PD) and Dementia with Lewy Bodies (DLB). Therefore, a timely identification of biomarkers able to predict an early conversion into neurodegeneration is of utmost importance. Areas covered: In this review, the authors provide updated evidence regarding the presence of neuropsychological, electrophysiological and neuroimaging markers in isolated RBD (iRBD) patients when the neurodegeneration is yet to come. Expert opinion: Cognitive profile of iRBD patients is characterized by the presence of impairment in visuospatial abilities and executive function that is observed in α-synucleinopathies. However, longitudinal studies showed that impaired executive functions, rather than visuospatial abilities, augmented conversion risk. Cortical slowdown during wake and REM sleep suggest the presence of an ongoing neurodegenerative process paralleled by cognitive decline. Neuroimaging findings showed that impairment nigrostriatal dopaminergic system might be a good marker to identify those patients at higher risk of short-term conversion. Although a growing body of evidence the identification of biomarkers still represents a critical issue in iRBD.
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Affiliation(s)
- Luigi Ferini-Strambi
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute , Milan , Italy.,Faculty of Psychology, "Vita-Salute" San Raffaele University , Milan , Italy
| | - Elisabetta Fasiello
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute , Milan , Italy.,Faculty of Psychology, "Vita-Salute" San Raffaele University , Milan , Italy
| | - Marco Sforza
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute , Milan , Italy.,Faculty of Psychology, "Vita-Salute" San Raffaele University , Milan , Italy
| | - Maria Salsone
- Institute of Molecular Bioimaging and Physiology, National Research Council , Catanzaro , Italy
| | - Andrea Galbiati
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute , Milan , Italy.,Faculty of Psychology, "Vita-Salute" San Raffaele University , Milan , Italy
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15
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EEG entropy analysis in autistic children. J Clin Neurosci 2019; 62:199-206. [DOI: 10.1016/j.jocn.2018.11.027] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 11/05/2018] [Indexed: 11/22/2022]
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16
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Zhang X, Song Z, Ye J, Fu Y, Wang J, Su L, Zhu X, Zhang M, Cheng Y, Wu W, Xue R. Polysomnographic and neuropsychological characteristics of rapid eye movement sleep behavior disorder patients. Brain Behav 2019; 9:e01220. [PMID: 30767436 PMCID: PMC6422790 DOI: 10.1002/brb3.1220] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 12/27/2018] [Accepted: 01/06/2019] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVES To compare the sleep characteristics and cognition between rapid eye movement sleep behavior disorder (RBD) patients and non-RBD (nRBD) healthy control subjects and to determine the correlation between sleep and cognition in RBD patients. METHODS Polysomnography (PSG) was performed to confirm and exclude RBD. Fifteen iRBD patients, 12 PD with RBD patients, and 23 matched nRBD healthy control subjects were enrolled. Subjective sleep and neuropsychological evaluations were performed. RESULTS No differences were found in the subjective sleep among the three groups. Compared to the nRBD subjects, iRBD patients showed higher PLMI, the PD with RBD patients showed an increased proportion of N1 sleep, a decreased proportion of N2 and N3 sleep, and an increased periodic leg movement index. The iRBD patients performed worse on RCFT time than the nRBD subjects, the PD with RBD patients performed worse than the nRBD subjects on the following evaluations: the Mini-Mental State Examination; auditory verbal learning test (AVLT); Rey Complex Figure Test (RCFT) time, Clock drawing test (CDT); delay memory score of RCFT; Symbol digit modalities test (SDMT); Trail Making Test (TMT); and Stroop Test B and C, all significant changes (all p < 0.05). Furthermore, in RBD patients, lower sleep efficiency was correlated with decreased SDMT scores (r = 0.694, p < 0.01), longer time on the TMT A (r = -0.589, p < 0.01), and lower city fluency test scores(r = 0.556, p < 0.01). Less total sleep time was correlated with lower RCFT scores (r = 0.392, p = 0.043), longer time on the TMT A (r = -0.417, p = 0.031), and lower city fluency test scores (r = 0.405, p = 0.036). CONCLUSIONS PD with RBD patients suffered from abnormal sleep architecture and extensive cognition dysfunction. Decreased total sleep time and sleep efficiency may contribute to cognitive deterioration in RBD patients.
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Affiliation(s)
- Xuan Zhang
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Zhiyi Song
- Department of Imaging, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China
| | - Jingyi Ye
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Ying Fu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jinying Wang
- Department of Imaging, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China
| | - Lei Su
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaodong Zhu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Meiyun Zhang
- Department of Neurology, Tianjin People's Hospital, Tianjin, China
| | - Yan Cheng
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wei Wu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Rong Xue
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
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17
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Stefani A, Holzknecht E, Högl B. Clinical neurophysiology of REM parasomnias. HANDBOOK OF CLINICAL NEUROLOGY 2019; 161:381-396. [DOI: 10.1016/b978-0-444-64142-7.00062-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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18
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Park KM, Lee HJ, Lee BI, Kim SE. Alterations of the brain network in idiopathic rapid eye movement sleep behavior disorder: structural connectivity analysis. Sleep Breath 2018; 23:587-593. [DOI: 10.1007/s11325-018-1737-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 09/26/2018] [Accepted: 10/04/2018] [Indexed: 11/24/2022]
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van de Pol LA, van ’t Westende C, Zonnenberg I, Koedam E, van Rossum I, de Haan W, Steenweg M, van Straaten EC, Stam CJ. Strong Relation Between an EEG Functional Connectivity Measure and Postmenstrual Age: A New Potential Tool for Measuring Neonatal Brain Maturation. Front Hum Neurosci 2018; 12:286. [PMID: 30065640 PMCID: PMC6056611 DOI: 10.3389/fnhum.2018.00286] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Accepted: 06/26/2018] [Indexed: 01/08/2023] Open
Abstract
Fetal and neonatal brain connectivity development is highly complex. Studies have shown that functional networks change dramatically during development. The purpose of the current study was to determine how the mean phase lag index (mPLI), a measure of functional connectivity (FC), assessed with electroencephalography (EEG), changes with postmenstrual age (PMA) during the early stages of brain development after birth. Neonates (N = 131) with PMA 27.6-45.3 weeks who underwent an EEG for a medical reason were retrospectively studied. For each recording, global FC was assessed by obtaining a whole-head average of all local PLI values (pairwise between sensor space EEG signals). Global FC results were consequently correlated with PMA values in seven frequency bands. Local results were obtained for the frequency band with the strongest global association. There was a strong negative correlation between mPLI and PMA in most frequency bands. The strongest association was found in the delta frequency band (R = -0.616, p < 0.001) which was therefore topographically explored; the strongest correlations were between pairs of electrodes with at least one electrode covering the central sulcus. Even in this heterogeneous group of neonates, global FC strongly reflects PMA. The decrease in PLI may reflect the process of segregation of specific brain regions with increasing PMA. This was mainly found in the central brain regions, in parallel with myelination of these areas during early development. In the future, there may be a role for PLI in detecting atypical FC maturation. Moreover, PLI could be used to develop biomarkers for brain maturation and expose segregation processes in the neonatal brain.
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Affiliation(s)
| | | | - Inge Zonnenberg
- Department of Neonatology, VU University Medical Center, Amsterdam, Netherlands
| | - Esther Koedam
- Department of Neurology, VU University Medical Center, Amsterdam, Netherlands
| | - Ineke van Rossum
- Department of Neurology, VU University Medical Center, Amsterdam, Netherlands
| | - Willem de Haan
- Department of Neurology, VU University Medical Center, Amsterdam, Netherlands
| | - Marjan Steenweg
- Department of Child Neurology, VU University Medical Center, Amsterdam, Netherlands
| | | | - Cornelis Jan Stam
- Department of Clinical Neurophysiology, VU University Medical Center, Amsterdam, Netherlands
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Skorvanek M, Feketeova E, Kurtis MM, Rusz J, Sonka K. Accuracy of Rating Scales and Clinical Measures for Screening of Rapid Eye Movement Sleep Behavior Disorder and for Predicting Conversion to Parkinson's Disease and Other Synucleinopathies. Front Neurol 2018; 9:376. [PMID: 29887829 PMCID: PMC5980959 DOI: 10.3389/fneur.2018.00376] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 05/08/2018] [Indexed: 12/12/2022] Open
Abstract
Rapid eye movement (REM) sleep behavior disorder (RBD) is characterized by repeated episodes of REM sleep-related vocalizations and/or complex motor behaviors. Definite diagnosis of RBD is based on history and polysomnography, both of which are less accessible due to the lack of trained specialists and high cost. While RBD may be associated with disorders like narcolepsy, focal brain lesions, and encephalitis, idiopathic RBD (iRBD) may convert to Parkinson's disease (PD) and other synucleinopathies in more than 80% of patients and it is to date the most specific clinical prodromal marker of PD. Identification of individuals at high risk for development of PD is becoming one of the most important topics for current PD-related research as well as for future treatment trials targeting prodromal PD. Furthermore, concomitant clinical symptoms, such as subtle motor impairment, hyposmia, autonomic dysfunction, or cognitive difficulties, in subjects with iRBD may herald its phenoconversion to clinically manifest parkinsonism. The assessment of these motor and non-motor symptoms in iRBD may increase the sensitivity and specificity in identifying prodromal PD subjects. This review evaluates the diagnostic accuracy of individual rating scales and validated single items for screening of RBD and the role and accuracy of available clinical, electrophysiological, imaging, and tissue biomarkers in predicting the phenoconversion from iRBD to clinically manifest synucleinopathies.
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Affiliation(s)
- Matej Skorvanek
- Department of Neurology, Faculty of Medicine, P. J. Safarik University, Kosice, Slovakia
- Department of Neurology, University Hospital of L. Pasteur, Kosice, Slovakia
| | - Eva Feketeova
- Department of Neurology, Faculty of Medicine, P. J. Safarik University, Kosice, Slovakia
- Department of Neurology, University Hospital of L. Pasteur, Kosice, Slovakia
| | - Monica M. Kurtis
- Movement Disorders Unit, Department of Neurology, Hospital Ruber Internacional, Madrid, Spain
| | - Jan Rusz
- Department of Neurology, Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czechia
| | - Karel Sonka
- Department of Neurology, Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
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Li M, Wang L, Liu JH, Zhan SQ. Relationships between Rapid Eye Movement Sleep Behavior Disorder and Neurodegenerative Diseases: Clinical Assessments, Biomarkers, and Treatment. Chin Med J (Engl) 2018; 131:966-973. [PMID: 29664058 PMCID: PMC5912064 DOI: 10.4103/0366-6999.229886] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE Rapid eye movement sleep behavior disorder (RBD) is characterized by dream enactment and loss of muscle atonia during rapid eye movement sleep. RBD is closely related to α-synucleinopathies including Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy. Many studies have investigated the markers of imaging and neurophysiological, genetic, cognitive, autonomic function of RBD and their predictive value for neurodegenerative diseases. This report reviewed the progress of these studies and discussed their limitations and future research directions. DATA SOURCES Using the combined keywords: "RBD", "neurodegenerative disease", "Parkinson disease", and "magnetic resonance imaging", the PubMed/MEDLINE literature search was conducted up to January 1, 2018. STUDY SELECTION A total of 150 published articles were initially identified citations. Of the 150 articles, 92 articles were selected after further detailed review. This study referred to all the important English literature in full. RESULTS Single-nucleotide polymorphisms in SCARB2 (rs6812193) and MAPT (rs12185268) were significantly associated with RBD. The olfactory loss, autonomic dysfunction, marked electroencephalogram slowing during both wakefulness and rapid eye movement sleep, and cognitive impairments were potential predictive markers for RBD conversion to neurodegenerative diseases. Traditional structural imaging studies reported relatively inconsistent results, whereas reduced functional connectivity between the left putamen and substantia nigra and dopamine transporter uptake demonstrated by functional imaging techniques were relatively consistent findings. CONCLUSIONS More longitudinal studies should be conducted to evaluate the predictive value of biomarkers of RBD. Moreover, because the glucose and dopamine metabolisms are not specific for assessing cognitive cognition, the molecular metabolism directly related to cognition should be investigated. There is a need for more treatment trials to determine the effectiveness of interventions of RBD on preventing the conversion to neurodegenerative diseases.
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Affiliation(s)
- Min Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Li Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Jiang-Hong Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Shu-Qin Zhan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
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22
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Abstract
So-called idiopathic rapid eye movement (REM) sleep behaviour disorder (RBD), formerly seen as a rare parasomnia, is now recognized as the prodromal stage of an α-synucleinopathy. Given the very high risk that patients with idiopathic RBD have of developing α-synucleinopathies, such as Parkinson disease (PD), PD dementia, dementia with Lewy bodies or multiple system atrophy, and the outstandingly high specificity and very long interval between the onset of idiopathic RBD and the clinical manifestations of α-synucleinopathies, the prodromal phase of this disorder represents a unique opportunity for potentially disease-modifying intervention. This Review provides an update on classic and novel biomarkers of α-synuclein-related neurodegeneration in patients with idiopathic RBD, focusing on advances in imaging and neurophysiological, cognitive, autonomic, tissue-specific and other biomarkers. We discuss the strengths, potential weaknesses and suitability of these biomarkers for identifying RBD and neurodegeneration, with an emphasis on predicting progression to overt α-synucleinopathy. The role of video polysomnography in providing quantifiable and potentially treatment-responsive biomarkers of neurodegeneration is highlighted. In light of all these advances, and the now understood role of idiopathic RBD as an early manifestation of α-synuclein disease, we call for idiopathic RBD to be reconceptualized as isolated RBD.
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Nicolaou N, Malik A, Daly I, Weaver J, Hwang F, Kirke A, Roesch EB, Williams D, Miranda ER, Nasuto SJ. Directed Motor-Auditory EEG Connectivity Is Modulated by Music Tempo. Front Hum Neurosci 2017; 11:502. [PMID: 29093672 PMCID: PMC5651276 DOI: 10.3389/fnhum.2017.00502] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 10/02/2017] [Indexed: 11/18/2022] Open
Abstract
Beat perception is fundamental to how we experience music, and yet the mechanism behind this spontaneous building of the internal beat representation is largely unknown. Existing findings support links between the tempo (speed) of the beat and enhancement of electroencephalogram (EEG) activity at tempo-related frequencies, but there are no studies looking at how tempo may affect the underlying long-range interactions between EEG activity at different electrodes. The present study investigates these long-range interactions using EEG activity recorded from 21 volunteers listening to music stimuli played at 4 different tempi (50, 100, 150 and 200 beats per minute). The music stimuli consisted of piano excerpts designed to convey the emotion of “peacefulness”. Noise stimuli with an identical acoustic content to the music excerpts were also presented for comparison purposes. The brain activity interactions were characterized with the imaginary part of coherence (iCOH) in the frequency range 1.5–18 Hz (δ, θ, α and lower β) between all pairs of EEG electrodes for the four tempi and the music/noise conditions, as well as a baseline resting state (RS) condition obtained at the start of the experimental task. Our findings can be summarized as follows: (a) there was an ongoing long-range interaction in the RS engaging fronto-posterior areas; (b) this interaction was maintained in both music and noise, but its strength and directionality were modulated as a result of acoustic stimulation; (c) the topological patterns of iCOH were similar for music, noise and RS, however statistically significant differences in strength and direction of iCOH were identified; and (d) tempo had an effect on the direction and strength of motor-auditory interactions. Our findings are in line with existing literature and illustrate a part of the mechanism by which musical stimuli with different tempi can entrain changes in cortical activity.
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Affiliation(s)
- Nicoletta Nicolaou
- Brain Embodiment Laboratory, Biomedical Engineering Section, School of Biological Sciences, University of Reading, Reading, United Kingdom.,Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom
| | - Asad Malik
- Brain Embodiment Laboratory, Biomedical Engineering Section, School of Biological Sciences, University of Reading, Reading, United Kingdom.,School of Psychology, University of Reading, Reading, United Kingdom.,Centre for Integrative Neuroscience and Neurodynamics, University of Reading, Reading, United Kingdom
| | - Ian Daly
- Brain-Computer Interfacing and Neural Engineering Laboratory, Department of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom
| | - James Weaver
- Brain Embodiment Laboratory, Biomedical Engineering Section, School of Biological Sciences, University of Reading, Reading, United Kingdom
| | - Faustina Hwang
- Brain Embodiment Laboratory, Biomedical Engineering Section, School of Biological Sciences, University of Reading, Reading, United Kingdom
| | - Alexis Kirke
- Interdisciplinary Centre for Computer Music Research, University of Plymouth, Plymouth, United Kingdom
| | - Etienne B Roesch
- School of Psychology, University of Reading, Reading, United Kingdom.,Centre for Integrative Neuroscience and Neurodynamics, University of Reading, Reading, United Kingdom
| | - Duncan Williams
- Interdisciplinary Centre for Computer Music Research, University of Plymouth, Plymouth, United Kingdom
| | - Eduardo R Miranda
- Interdisciplinary Centre for Computer Music Research, University of Plymouth, Plymouth, United Kingdom
| | - Slawomir J Nasuto
- Brain Embodiment Laboratory, Biomedical Engineering Section, School of Biological Sciences, University of Reading, Reading, United Kingdom
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