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Kim A, Yoshida K, Kovacs GG, Forrest SL. Computer-based evaluation of α-synuclein pathology in multiple system atrophy as a novel tool to recognize disease-subtypes. Mod Pathol 2024:100533. [PMID: 38852813 DOI: 10.1016/j.modpat.2024.100533] [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: 11/24/2023] [Revised: 04/11/2024] [Accepted: 05/27/2024] [Indexed: 06/11/2024]
Abstract
Multiple system atrophy (MSA) is a neurodegenerative disorder with variable disease course and distinct constellations of clinical (cerebellar (MSA-C) or parkinsonism (MSA-P)) and pathological phenotypes, suggestive of distinct α-synuclein (αSyn) strains. Neuropathologically, MSA is characterized by the accumulation of αSyn in oligodendrocytic glial cytoplasmic inclusions (GCI). Using a novel computer-based method, this study quantified the size of GCIs, density of all αSyn pathology, density of only the GCIs, and number of GCIs in MSA cases (n = 20). The putamen and cerebellar white matter (WM) were immuno-stained with the disease-associated 5G4 anti-αSyn antibody. Following digital scanning and image processing, total 5G4-immunoreactive pathology (i.e., neuronal, neuritic, and glial) and GCIs were optically dissected for inclusion size and density measurement then evaluated applying a novel computer-based method using ImageJ. GCI size varied between cases and brain regions (p < 0.0001) and heterogeneity in the density of all αSyn pathology including the density and number of GCIs were observed between regions and across cases, where MSA-C cases had significantly higher density of all αSyn pathology in the cerebellar WM (p = 0.049). Some region-specific morphological variables inversely correlated with the age of onset and death, suggestive of an underlying aging-related cellular mechanism. Unsupervised K-means cluster analysis classified MSA cases into three distinct groups based on region-specific morphological variables. In conclusion, we developed a novel computer-based method that is easily accessible, providing a first step to developing artificial-intelligence-based evaluation strategies for large scale comparative studies. Our observations on the variability of morphological variables between brain regions and cases highlight i) the importance of computer-based approaches to detect features not considered in the routine diagnostic practice, and ii) novel aspects for the identification of previously unrecognized MSA subtypes that do not necessarily reflect the current clinical classification of MSA-C or MSA-P.
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Affiliation(s)
- Ain Kim
- Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON, Canada; Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON, Canada
| | - Koji Yoshida
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON, Canada; Department of Legal Medicine, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Toyama, Japan
| | - Gabor G Kovacs
- Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON, Canada; Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON, Canada; Krembil Brain Institute, University Health Network, Toronto, ON, Canada
| | - Shelley L Forrest
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON, Canada; Krembil Brain Institute, University Health Network, Toronto, ON, Canada.
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Kon T, Ichimata S, Di Luca DG, Martinez-Valbuena I, Kim A, Yoshida K, Alruwaita AA, Kleiner G, Strafella AP, Forrest SL, Sato C, Rogaeva E, Fox SH, Lang AE, Kovacs GG. Multiple system atrophy with amyloid-β-predominant Alzheimer's disease neuropathologic change. Brain Commun 2024; 6:fcae141. [PMID: 38712319 PMCID: PMC11073746 DOI: 10.1093/braincomms/fcae141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 03/08/2024] [Accepted: 04/15/2024] [Indexed: 05/08/2024] Open
Abstract
Multiple system atrophy is a neurodegenerative disease with α-synuclein pathology predominating in the striatonigral and olivopontocerebellar systems. Mixed pathologies are considered to be of low frequency and mostly comprise primary age-related tauopathy or low levels of Alzheimer's disease-related neuropathologic change. Therefore, the concomitant presence of different misfolded proteins in the same brain region is less likely in multiple system atrophy. During the neuropathological evaluation of 21 consecutive multiple system atrophy cases, we identified four cases exhibiting an unusual discrepancy between high Thal amyloid-β phase and low transentorhinal Braak neurofibrillary tangle stage. We mapped α-synuclein pathology, measured the size and number of glial cytoplasmic inclusions and compared the amyloid-β peptides between multiple system atrophy and Alzheimer's disease. In addition, we performed α-synuclein seeding assay from the affected putamen samples. We performed genetic testing for APOE, MAPT, PSEN1, PSEN2 and APP. We refer to the four multiple system atrophy cases with discrepancy between amyloid-β and tau pathology as 'amyloid-β-predominant Alzheimer's disease neuropathologic change-multiple system atrophy' to distinguish these from multiple system atrophy with primary age-related tauopathy or multiple system atrophy with typical Alzheimer's disease neuropathologic change. As most multiple system atrophy cases with mixed pathologies reported in the literature, these cases did not show a peculiar clinical or MRI profile. Three amyloid-β-predominant Alzheimer's disease neuropathologic change-multiple system atrophy cases were available for genetic testing, and all carried the APOE ɛ4 allele. The extent and severity of neuronal loss and α-synuclein pathology were not different compared with typical multiple system atrophy cases. Analysis of amyloid-β peptides revealed more premature amyloid-β plaques in amyloid-β-predominant Alzheimer's disease neuropathologic change-multiple system atrophy compared with Alzheimer's disease. α-Synuclein seeding amplification assay showed differences in the kinetics in two cases. This study highlights a rare mixed pathology variant of multiple system atrophy in which there is an anatomical meeting point of amyloid-β and α-synuclein, i.e. the striatum or cerebellum. Since biomarkers are entering clinical practice, these cases will be recognized, and the clinicians have to be informed that the prognosis is not necessarily different than in pure multiple system atrophy cases but that the effect of potential α-synuclein-based therapies might be influenced by the co-presence of amyloid-β in regions where α-synuclein also aggregates. We propose that mixed pathologies should be interpreted not only based on differences in the clinical phenotype but also on whether protein depositions regionally overlap, potentially leading to a different response to α-synuclein-targeted therapies.
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Affiliation(s)
- Tomoya Kon
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON M5T 0S8, Canada
- Department of Neurology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan
| | - Shojiro Ichimata
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON M5T 0S8, Canada
- Department of Legal Medicine, Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Daniel G Di Luca
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Ivan Martinez-Valbuena
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON M5T 0S8, Canada
| | - Ain Kim
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON M5T 0S8, Canada
| | - Koji Yoshida
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON M5T 0S8, Canada
- Department of Legal Medicine, Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Abdullah A Alruwaita
- Edmund J Safra Program in Parkinson’s Disease and Rossy Program in Progressive Supranuclear Palsy, Toronto Western Hospital, Toronto, ON M5T 2S8, Canada
- Neurology Department, Prince Sultan Military Medical City, Riyadh 11159, Saudi Arabia
| | - Galit Kleiner
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
- Movement Disorders and Spasticity Management Clinic, Pamela and Paul Austin Centre for Neurology and Behavioral Support, Baycrest Centre for Geriatric Care, Toronto, ON M6A 2E1, Canada
| | - Antonio P Strafella
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
- Edmund J Safra Program in Parkinson’s Disease and Rossy Program in Progressive Supranuclear Palsy, Toronto Western Hospital, Toronto, ON M5T 2S8, Canada
| | - Shelley L Forrest
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON M5T 0S8, Canada
- Laboratory Medicine Program & Krembil Brain Institute, University Health Network, Toronto, ON M5T 0S8, Canada
- Faculty of Medicine, Health and Human Sciences, Dementia Research Centre, Macquarie Medical School, Macquarie University, Sydney, NSW 2109, Australia
| | - Christine Sato
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON M5T 0S8, Canada
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON M5T 0S8, Canada
| | - Susan H Fox
- Edmund J Safra Program in Parkinson’s Disease and Rossy Program in Progressive Supranuclear Palsy, Toronto Western Hospital, Toronto, ON M5T 2S8, Canada
| | - Anthony E Lang
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON M5T 0S8, Canada
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
- Edmund J Safra Program in Parkinson’s Disease and Rossy Program in Progressive Supranuclear Palsy, Toronto Western Hospital, Toronto, ON M5T 2S8, Canada
| | - Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON M5T 0S8, Canada
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
- Edmund J Safra Program in Parkinson’s Disease and Rossy Program in Progressive Supranuclear Palsy, Toronto Western Hospital, Toronto, ON M5T 2S8, Canada
- Laboratory Medicine Program & Krembil Brain Institute, University Health Network, Toronto, ON M5T 0S8, Canada
- Faculty of Medicine, Health and Human Sciences, Dementia Research Centre, Macquarie Medical School, Macquarie University, Sydney, NSW 2109, Australia
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada
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Kang YK, Shin JH, Choi H, Kim HJ, Cheon GJ, Jeon B. Whole-brain dopamine transporter binding pattern predicts survival in multiple system atrophy. Transl Neurodegener 2024; 13:18. [PMID: 38566170 PMCID: PMC10986063 DOI: 10.1186/s40035-024-00411-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 03/22/2024] [Indexed: 04/04/2024] Open
Affiliation(s)
- Yeon-Koo Kang
- Department of Nuclear Medicine, Seoul National University Hospital, 101, Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jung Hwan Shin
- Department of Neurology, Seoul National University Hospital, 101, Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
- Department of Neurology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hongyoon Choi
- Department of Nuclear Medicine, Seoul National University Hospital, 101, Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Han-Joon Kim
- Department of Neurology, Seoul National University Hospital, 101, Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
- Department of Neurology, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Gi Jeong Cheon
- Department of Nuclear Medicine, Seoul National University Hospital, 101, Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
- Institute on Aging, Seoul National University, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
- Institute of Radiation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Beomseok Jeon
- Department of Neurology, Seoul National University Hospital, 101, Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
- Department of Neurology, Seoul National University College of Medicine, Seoul, Republic of Korea
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Li X, Bai J, Guo X, Mu Y, Di Z, Zhang G, Wang B, Zhang Y, Liu X, Shi Y, Lin S, Wu L, Bai Y, Liu X. Identifying New Subtypes of Multiple System Atrophy Using Cluster Analysis. JOURNAL OF PARKINSON'S DISEASE 2024; 14:777-795. [PMID: 38640168 PMCID: PMC11191464 DOI: 10.3233/jpd-230344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/10/2024] [Indexed: 04/21/2024]
Abstract
Background Multiple system atrophy (MSA) is a disease with diverse symptoms and the commonly used classifications, MSA-P and MSA-C, do not cover all the different symptoms seen in MSA patients. Additionally, these classifications do not provide information about how the disease progresses over time or the expected outcome for patients. Objective To explore clinical subtypes of MSA with a natural disease course through a data-driven approach to assist in the diagnosis and treatment of MSA. Methods We followed 122 cases of MSA collected from 3 hospitals for 3 years. Demographic characteristics, age of onset, clinical signs, scale assessment scores, and auxiliary examination were collected. Age at onset; time from onset to assisted ambulation; and UMSARS I, II, and IV, COMPASS-31, ICARS, and UPDRS III scores were selected as clustering elements. K-means, partitioning around medoids, and self-organizing maps were used to analyze the clusters. Results The results of all three clustering methods supported the classification of three MSA subtypes: The aggressive progression subtype (MSA-AP), characterized by mid-to-late onset, rapid progression and severe clinical symptoms; the typical subtype (MSA-T), characterized by mid-to-late onset, moderate progression and moderate severity of clinical symptoms; and the early-onset slow progression subtype (MSA-ESP), characterized by early-to-mid onset, slow progression and mild clinical symptoms. Conclusions We divided MSA into three subtypes and summarized the characteristics of each subtype. According to the clustering results, MSA patients were divided into three completely different types according to the severity of symptoms, the speed of disease progression, and the age of onset.
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Affiliation(s)
- Xiaobing Li
- Department of Neurology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Jing Bai
- Department of Neurology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Xin Guo
- Department of Neurology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Yaqian Mu
- Department of Neurology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Zhengli Di
- Department of Neurology, Xi’an Central Hospital, Xi’an, Shaanxi, China
| | - Gejuan Zhang
- Department of Neurology, Xi’an Third Hospital, Xi’an, Shaanxi, China
| | - Bo Wang
- Department of Epidemiology, Air Force Medical University, School of Public Health, Xi’an, Shaanxi, China
| | - Yun Zhang
- Department of Neurology, Xi’an Ninth Hospital, Xi’an, Shaanxi, China
| | - Xinyao Liu
- Department of Neurology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Yan Shi
- Department of Neurology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Shinuan Lin
- GYENNO Science Co., Ltd., Shenzhen, Guangdong, China
- HUST – GYENNO CNS, Intelligent Digital Medicine Technology Center, Wuhan, China
| | - Linyu Wu
- GYENNO Science Co., Ltd., Shenzhen, Guangdong, China
- HUST – GYENNO CNS, Intelligent Digital Medicine Technology Center, Wuhan, China
| | - Ya Bai
- Department of Neurology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Xuedong Liu
- Department of Neurology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
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Andersen AM, Kaalund SS, Marner L, Salvesen L, Pakkenberg B, Olesen MV. Quantitative cellular changes in multiple system atrophy brains. Neuropathol Appl Neurobiol 2023; 49:e12941. [PMID: 37812040 DOI: 10.1111/nan.12941] [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: 03/31/2023] [Revised: 09/21/2023] [Accepted: 10/02/2023] [Indexed: 10/10/2023]
Abstract
Multiple system atrophy (MSA) is a neurodegenerative disorder characterised by a combined symptomatology of parkinsonism, cerebellar ataxia, autonomic failure and corticospinal dysfunction. In brains of MSA patients, the hallmark lesion is the aggregation of misfolded alpha-synuclein in oligodendrocytes. Even though the underlying pathological mechanisms remain poorly understood, the evidence suggests that alpha-synuclein aggregation in oligodendrocytes may contribute to the neurodegeneration seen in MSA. The primary aim of this review is to summarise the published stereological data on the total number of neurons and glial cell subtypes (oligodendrocytes, astrocytes and microglia) and volumes in brains from MSA patients. Thus, we include in this review exclusively the reports of unbiased quantitative data from brain regions including the neocortex, nuclei of the cerebrum, the brainstem and the cerebellum. Furthermore, we compare and discuss the stereological results in the context of imaging findings and MSA symptomatology. In general, the stereological results agree with the common neuropathological findings of neurodegeneration and gliosis in brains from MSA patients and support a major loss of nigrostriatal neurons in MSA patients with predominant parkinsonism (MSA-P), as well as olivopontocerebellar atrophy in MSA patients with predominant cerebellar ataxia (MSA-C). Surprisingly, the reports indicate only a minor loss of oligodendrocytes in sub-cortical regions of the cerebrum (glial cells not studied in the cerebellum) and negligible changes in brain volumes. In the past decades, the use of stereological methods has provided a vast amount of accurate information on cell numbers and volumes in the brains of MSA patients. Combining different techniques such as stereology and diagnostic imaging (e.g. MRI, PET and SPECT) with clinical data allows for a more detailed interdisciplinary understanding of the disease and illuminates the relationship between neuropathological changes and MSA symptomatology.
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Affiliation(s)
- Alberte M Andersen
- Centre for Neuroscience and Stereology, Department of Neurology, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
| | - Sanne S Kaalund
- Centre for Neuroscience and Stereology, Department of Neurology, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
| | - Lisbeth Marner
- Department of Clinical Physiology and Nuclear Medicine, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lisette Salvesen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Neurology, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
| | - Bente Pakkenberg
- Centre for Neuroscience and Stereology, Department of Neurology, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mikkel V Olesen
- Centre for Neuroscience and Stereology, Department of Neurology, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
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Zhang L, Hou Y, Li C, Wei Q, Ou R, Liu K, Lin J, Yang T, Xiao Y, Jiang Q, Zhao B, Shang H. Longitudinal evolution of sleep disturbances in early multiple system atrophy: a 2-year prospective cohort study. BMC Med 2023; 21:454. [PMID: 37993943 PMCID: PMC10664599 DOI: 10.1186/s12916-023-03176-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 11/14/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND The progression of sleep disturbances remains unclear in patients with early multiple system atrophy (MSA). We aimed to explore the frequency, severity, and coexistence of 2-year longitudinal changes of sleep disturbances including REM sleep behavior disorder (RBD), excessive daytime sleepiness (EDS), and Parkinson's disease-related sleep problems (PD-SP) in early MSA. METHODS MSA patients with a disease duration < 3 years were enrolled to complete a 2-year follow-up visit. Sleep disturbances including RBD, EDS, and PD-SP were assessed using the RBD Screening Questionnaire, Epworth sleepiness scale, and PD sleep scale-2, respectively. RESULTS A total of 220 patients with MSA enrolled in the study and 90 patients completed the 2-year follow-up visit. The score of all three sleep disturbances significantly increased over the 2-year follow-up in MSA and MSA with the predominant parkinsonism group (all p < 0.05). The frequency of PD-SP (from 14.5 to 26.7%) and EDS (from 17.7 to 37.8%) was progressively increased (all p < 0.05) except for RBD (from 51.8 to 65.6%, p = 0.152) over the 2-year follow-up in MSA. The frequency of coexistence of two or three sleep disturbances also increased over time. The most common sleep disturbance was RBD, followed by EDS and PD-SP over the 2-year follow-up. CONCLUSIONS The present study demonstrated that the frequency of different types of sleep disturbances progressively increased except for RBD and the coexistence of two or three sleep disturbances became more common over time in early MSA. Our study suggested that the assessment and management of sleep disturbances should begin early in MSA.
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Affiliation(s)
- Lingyu Zhang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Yanbing Hou
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Chunyu Li
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Qianqian Wei
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ruwei Ou
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Kuncheng Liu
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Junyu Lin
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Tianmi Yang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yi Xiao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Qirui Jiang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Bi Zhao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
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Cui Y, Cao S, Li F, Feng T. Prevalence and Clinical Characteristics of Dementia and Cognitive Impairment in Multiple System Atrophy: A Systematic Review and Meta-Analysis. JOURNAL OF PARKINSON'S DISEASE 2022; 12:2383-2395. [PMID: 36336940 DOI: 10.3233/jpd-223444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Cognitive impairment is a clinical feature of multiple system atrophy (MSA). However, the prevalence and factors influencing the prevalence of cognitive impairment and dementia in MSA patients remain unclear. OBJECTIVE We aim to provide an estimate of the prevalence of cognitive impairment and dementia in patients with MSA and to evaluate the possible effect of demographic, clinical and methodological factors on the prevalence. METHODS We systematically searched the PubMed, Embase, and Web of science databases to identify studies that report the prevalence of cognitive impairment or dementia in MSA published up to February 2022. We computed the estimates of the pooled prevalence using random-effects models. Heterogeneity was investigated by subgroup analyses and meta-regression. Differences between MSA patients with and without cognitive impairment in demographic and clinical features were explored. RESULTS A total of 23 studies comprising 2064 MSA patients were included in meta-analysis. The pooled prevalence of cognitive impairment in MSA patients was 37% (95% CI: 29% -45%), the prevalence of dementia was 11% (95% CI: 7% -15%). The subgroup analyses showed the prevalence of dementia in pathologically-confirmed MSA was 7% (95% CI: 0% -12%), in clinically diagnosed MSA was 14% (95% CI: 10% -18%). Cognitive impairment in MSA patients was associated with older age, lower education, longer disease duration and more severe motor symptoms. CONCLUSION Cognitive impairment is a common non-motor symptom in MSA. Dementia can develop in a few patients with MSA as well, but usually in the late stage.
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Affiliation(s)
- Yusha Cui
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shuangshuang Cao
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Fangfei Li
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tao Feng
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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8
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Swaddiwudhipong N, Whiteside DJ, Hezemans FH, Street D, Rowe JB, Rittman T. Pre-diagnostic cognitive and functional impairment in multiple sporadic neurodegenerative diseases. Alzheimers Dement 2022; 19:1752-1763. [PMID: 36223793 DOI: 10.1002/alz.12802] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
INTRODUCTION The pathophysiological processes of neurodegenerative diseases begin years before diagnosis. However, pre-diagnostic changes in cognition and physical function are poorly understood, especially in sporadic neurodegenerative disease. METHODS UK Biobank data were extracted. Cognitive and functional measures in individuals who subsequently developed Alzheimer's disease (AD), Parkinson disease, frontotemporal dementia, progressive supranuclear palsy, dementia with Lewy bodies, or multiple system atrophy were compared against individuals without neurodegenerative diagnoses. The same measures were regressed against time to diagnosis, after adjusting for the effects of age. RESULTS There was evidence for pre-diagnostic cognitive impairment and decline with time, particularly in AD. Pre-diagnostic functional impairment and decline were observed in multiple diseases. DISCUSSION The scale and longitudinal follow-up of UK Biobank participants provides evidence for cognitive and functional decline years before symptoms become obvious in multiple neurodegenerative diseases. Identifying pre-diagnostic functional and cognitive changes could improve selection for preventive and early disease-modifying treatment trials.
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Affiliation(s)
- Nol Swaddiwudhipong
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - David J Whiteside
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Frank H Hezemans
- Department of Clinical Neurosciences, Cambridge, UK.,MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | | | - James B Rowe
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK.,MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Timothy Rittman
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
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Maass F, Hermann P, Varges D, Nuhn S, van Riesen C, Jamous A, Focke NK, Hewitt M, Leha A, Bähr M, Zerr I. Prospective CERAD Neuropsychological Assessment in Patients With Multiple System Atrophy. Front Neurol 2022; 13:881369. [PMID: 35928131 PMCID: PMC9344909 DOI: 10.3389/fneur.2022.881369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/06/2022] [Indexed: 11/24/2022] Open
Abstract
The objective of the study was to characterize the pattern of cognitive dysfunction in patients with multiple system atrophy (MSA) applying a standardized neuropsychological assessment. A total of 20 patients with the diagnosis of probable or possible MSA were enrolled for neuropsychological assessment applying the CERAD plus battery. All patients were tested at baseline and 14/20 patients received additional follow-up assessments (median follow-up of 24 months). Additionally, relationship between cortical thickness values/subcortical gray matter volumes and CERAD subitems was evaluated at baseline in a subgroup of 13/20 patients. Trail Making Test (TMT) was the most sensitive CERAD item at baseline with abnormal performance (z-score < −1.28) in one or both pathological TMT items (TMT-A, TMT-B) in 60% of patients with MSA. Additionally, there was a significant inverse correlation between the volume of the left and the right accumbens area and the TMT A item after adjusting for age (left side: p = 0.0009; right side p = 0.003). Comparing both subtypes, patients with MSA-C had significant lower values in phonemic verbal fluency (p = 0.04) and a trend for lower values in semantic verbal fluency (p = 0.06) compared to MSA-P. Additionally, patients with MSA-C showed significantly worse performance in the TMT-B task (p = 0.04) and a trend for worse performance in the TMT-A task (p = 0.06). Concerning longitudinal follow-up, a significant worsening in the TMT-B (p = 0.03) can be reported in MSA. In conclusion, frontal-executive dysfunction presents the hallmark of cognitive impairment in MSA.
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Affiliation(s)
- Fabian Maass
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
- *Correspondence: Fabian Maass
| | - Peter Hermann
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Daniela Varges
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Sabine Nuhn
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Christoph van Riesen
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Ala Jamous
- Department of Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Niels K. Focke
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Manuel Hewitt
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Andreas Leha
- Department of Medical Statistics, University Medical Center, Göttingen, Germany
| | - Mathias Bähr
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
- Cluster of Excellence Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), University Medical Center Göttingen, Göttingen, Germany
| | - Inga Zerr
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
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Olfati N, Shoeibi A, Litvan I. Clinical Spectrum of Tauopathies. Front Neurol 2022; 13:944806. [PMID: 35911892 PMCID: PMC9329580 DOI: 10.3389/fneur.2022.944806] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 06/20/2022] [Indexed: 11/20/2022] Open
Abstract
Tauopathies are both clinical and pathological heterogeneous disorders characterized by neuronal and/or glial accumulation of misfolded tau protein. It is now well understood that every pathologic tauopathy may present with various clinical phenotypes based on the primary site of involvement and the spread and distribution of the pathology in the nervous system making clinicopathological correlation more and more challenging. The clinical spectrum of tauopathies includes syndromes with a strong association with an underlying primary tauopathy, including Richardson syndrome (RS), corticobasal syndrome (CBS), non-fluent agrammatic primary progressive aphasia (nfaPPA)/apraxia of speech, pure akinesia with gait freezing (PAGF), and behavioral variant frontotemporal dementia (bvFTD), or weak association with an underlying primary tauopathy, including Parkinsonian syndrome, late-onset cerebellar ataxia, primary lateral sclerosis, semantic variant PPA (svPPA), and amnestic syndrome. Here, we discuss clinical syndromes associated with various primary tauopathies and their distinguishing clinical features and new biomarkers becoming available to improve in vivo diagnosis. Although the typical phenotypic clinical presentations lead us to suspect specific underlying pathologies, it is still challenging to differentiate pathology accurately based on clinical findings due to large phenotypic overlaps. Larger pathology-confirmed studies to validate the use of different biomarkers and prospective longitudinal cohorts evaluating detailed clinical, biofluid, and imaging protocols in subjects presenting with heterogenous phenotypes reflecting a variety of suspected underlying pathologies are fundamental for a better understanding of the clinicopathological correlations.
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Affiliation(s)
- Nahid Olfati
- Department of Neurology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- UC San Diego Department of Neurosciences, Parkinson and Other Movement Disorder Center, San Diego, CA, United States
| | - Ali Shoeibi
- Department of Neurology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Irene Litvan
- UC San Diego Department of Neurosciences, Parkinson and Other Movement Disorder Center, San Diego, CA, United States
- *Correspondence: Irene Litvan
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11
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Sekiya H, Koga S, Otsuka Y, Chihara N, Ueda T, Sekiguchi K, Yoneda Y, Kageyama Y, Matsumoto R, Dickson DW. Clinical and pathological characteristics of later onset multiple system atrophy. J Neurol 2022; 269:4310-4321. [PMID: 35305144 PMCID: PMC10315173 DOI: 10.1007/s00415-022-11067-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/01/2022] [Accepted: 03/04/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND In the current consensus criteria, onset after age 75 is considered as non-supporting for diagnosis of multiples system atrophy (MSA); however, some MSA patients present after age 75. Clinical and pathological characteristics of such later onset MSA (LO-MSA) compared to usual onset MSA (UO-MSA) remain poorly understood. METHODS The clinical cohort included patients from Kobe University Hospital and Amagasaki General Medical Center Hospital, while the autopsy cohort was from the brain bank at Mayo Clinic Florida. We identified 83 patients in the clinical cohort and 193 patients in the autopsy cohort. We divided MSA into two groups according to age at onset: UO-MSA (≤ 75) and LO-MSA (> 75). We compared clinical features and outcomes between the two groups in the clinical cohort and compared the findings to the autopsy cohort. RESULTS LO-MSA accounted for 8% in the clinical cohort and 5% in the autopsy cohort. The median time from onset to death or to life-saving tracheostomy was significantly shorter in LO-MSA than in UO-MSA in both cohorts (4.8 vs 7.9 years in the clinical cohort and 3.9 vs 7.5 years in the autopsy cohort; P = 0.043 and P < 0.0001, respectively). The median time from diagnosis to death was less than 3 years in LO-MSA in the clinical cohort. CONCLUSIONS Some MSA patients have late age of onset and short survival, limiting time for clinical decision making. MSA should be considered in the differential diagnosis of elderly patients with autonomic symptoms and extrapyramidal and/or cerebellar syndromes.
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Affiliation(s)
- Hiroaki Sekiya
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA. .,Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
| | - Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Yoshihisa Otsuka
- Department of Neurology, Hyogo Prefectural Amagasaki General Medical Center Hospital, Amagasaki, Hyogo, Japan
| | - Norio Chihara
- Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Takehiro Ueda
- Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Kenji Sekiguchi
- Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Yukihiro Yoneda
- Department of Neurology, Hyogo Prefectural Amagasaki General Medical Center Hospital, Amagasaki, Hyogo, Japan
| | - Yasufumi Kageyama
- Department of Neurology, Hyogo Prefectural Amagasaki General Medical Center Hospital, Amagasaki, Hyogo, Japan
| | - Riki Matsumoto
- Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
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12
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Heterogeneity of Multiple System Atrophy: An Update. Biomedicines 2022; 10:biomedicines10030599. [PMID: 35327402 PMCID: PMC8945102 DOI: 10.3390/biomedicines10030599] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 02/24/2022] [Accepted: 03/02/2022] [Indexed: 02/04/2023] Open
Abstract
Multiple system atrophy (MSA) is a fatal, rapidly progressing neurodegenerative disease of uncertain etiology, clinically characterized by various combinations of Levodopa unresponsive parkinsonism, cerebellar, autonomic and motor dysfunctions. The morphological hallmark of this α-synucleinopathy is the deposition of aberrant α-synuclein in both glia, mainly oligodendroglia (glial cytoplasmic inclusions /GCIs/) and neurons, associated with glioneuronal degeneration of the striatonigral, olivopontocerebellar and many other neuronal systems. Typical phenotypes are MSA with predominant parkinsonism (MSA-P) and a cerebellar variant (MSA-C) with olivocerebellar atrophy. However, MSA can present with a wider range of clinical and pathological features than previously thought. In addition to rare combined or “mixed” MSA, there is a broad spectrum of atypical MSA variants, such as those with a different age at onset and disease duration, “minimal change” or prodromal forms, MSA variants with Lewy body disease or severe hippocampal pathology, rare forms with an unusual tau pathology or spinal myoclonus, an increasing number of MSA cases with cognitive impairment/dementia, rare familial forms, and questionable conjugal MSA. These variants that do not fit into the current classification of MSA are a major challenge for the diagnosis of this unique proteinopathy. Although the clinical diagnostic accuracy and differential diagnosis of MSA have improved by using combined biomarkers, its distinction from clinically similar extrapyramidal disorders with other pathologies and etiologies may be difficult. These aspects should be taken into consideration when revising the current diagnostic criteria. This appears important given that disease-modifying treatment strategies for this hitherto incurable disorder are under investigation.
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13
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Koga S, Sekiya H, Kondru N, Ross OA, Dickson DW. Neuropathology and molecular diagnosis of Synucleinopathies. Mol Neurodegener 2021; 16:83. [PMID: 34922583 PMCID: PMC8684287 DOI: 10.1186/s13024-021-00501-z] [Citation(s) in RCA: 95] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 11/10/2021] [Indexed: 12/11/2022] Open
Abstract
Synucleinopathies are clinically and pathologically heterogeneous disorders characterized by pathologic aggregates of α-synuclein in neurons and glia, in the form of Lewy bodies, Lewy neurites, neuronal cytoplasmic inclusions, and glial cytoplasmic inclusions. Synucleinopathies can be divided into two major disease entities: Lewy body disease and multiple system atrophy (MSA). Common clinical presentations of Lewy body disease are Parkinson's disease (PD), PD with dementia, and dementia with Lewy bodies (DLB), while MSA has two major clinical subtypes, MSA with predominant cerebellar ataxia and MSA with predominant parkinsonism. There are currently no disease-modifying therapies for the synucleinopathies, but information obtained from molecular genetics and models that explore mechanisms of α-synuclein conversion to pathologic oligomers and insoluble fibrils offer hope for eventual therapies. It remains unclear how α-synuclein can be associated with distinct cellular pathologies (e.g., Lewy bodies and glial cytoplasmic inclusions) and what factors determine neuroanatomical and cell type vulnerability. Accumulating evidence from in vitro and in vivo experiments suggests that α-synuclein species derived from Lewy body disease and MSA are distinct "strains" having different seeding properties. Recent advancements in in vitro seeding assays, such as real-time quaking-induced conversion (RT-QuIC) and protein misfolding cyclic amplification (PMCA), not only demonstrate distinct seeding activity in the synucleinopathies, but also offer exciting opportunities for molecular diagnosis using readily accessible peripheral tissue samples. Cryogenic electron microscopy (cryo-EM) structural studies of α-synuclein derived from recombinant or brain-derived filaments provide new insight into mechanisms of seeding in synucleinopathies. In this review, we describe clinical, genetic and neuropathologic features of synucleinopathies, including a discussion of the evolution of classification and staging of Lewy body disease. We also provide a brief discussion on proposed mechanisms of Lewy body formation, as well as evidence supporting the existence of distinct α-synuclein strains in Lewy body disease and MSA.
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Affiliation(s)
- Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, FL 32224 Jacksonville, USA
| | - Hiroaki Sekiya
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, FL 32224 Jacksonville, USA
| | - Naveen Kondru
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, FL 32224 Jacksonville, USA
| | - Owen A. Ross
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, FL 32224 Jacksonville, USA
| | - Dennis W. Dickson
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, FL 32224 Jacksonville, USA
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