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Raghavan S, Lesnick TG, Castillo AM, Reid RI, Fought AJ, Thostenson KB, Johnson Sparrman KL, Gehrking TL, Gehrking JA, Sletten DM, Low PA, Singer W, Vemuri P. White Matter Abnormalities Track Disease Progression in Multiple System Atrophy. Mov Disord Clin Pract 2024. [PMID: 38923361 DOI: 10.1002/mdc3.14147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 04/16/2024] [Accepted: 05/26/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND White matter (WM) abnormalities have been implicated in clinically relevant functional decline in multiple system atrophy (MSA). OBJECTIVE To identify the WM and gray matter (GM) abnormalities in MSA and assess the utility of longitudinal structural and diffusion changes as surrogate markers for tracking disease progression in MSA. METHODS Twenty-seven participants with early MSA [15 with clinically predominant cerebellar (MSA-C) and 12 with clinically predominant parkinsonian features (MSA-P)] and 14 controls were enrolled as a part of our prospective, longitudinal study of synucleinopathies. Using structural magnetic resonance imaging (MRI) and diffusion MRI (diffusion tensor and neurite orientation and dispersion density imaging), we analyzed whole and regional brain changes in these participants. We also evaluated temporal imaging trajectories based on up to three annual follow-up scans and assessed the impact of baseline diagnosis on these imaging biomarkers using mixed-effect models. RESULTS MSA patients exhibited more widespread WM changes than GM, particularly in the cerebellum and brainstem, with greater severity in MSA-C. Structural and diffusion measures in the cerebellum WM and brainstem deteriorated with disease progression. Rates of progression of these abnormalities were similar in both MSA subtypes, reflecting increasing overlap of clinical features over time. CONCLUSION WM abnormalities are core features of MSA disease progression and advance at similar rates in clinical MSA subtypes. Multimodal MRI imaging reveals novel insights into the distribution and pattern of brain abnormalities and their progression in MSA. Selected structural and diffusion measures may be useful for tracking disease progression in MSA clinical trials.
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Affiliation(s)
| | - Timothy G Lesnick
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Anna M Castillo
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Robert I Reid
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Angela J Fought
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | | | - Phillip A Low
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
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Zhang H, Zhao J, Fan L, Wu X, Li F, Liu J, Bai C, Li X, Li B, Zhang T. Exploring the Structural Plasticity Mechanism of Corticospinal Tract during Stroke Rehabilitation Based Automated Fiber Quantification Tractography. Neurorehabil Neural Repair 2024; 38:425-436. [PMID: 38676561 DOI: 10.1177/15459683241249115] [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] [Indexed: 04/29/2024]
Abstract
BACKGROUND Corticospinal tract (CST) is the principal motor pathway; we aim to explore the structural plasticity mechanism in CST during stroke rehabilitation. METHODS A total of 25 patients underwent diffusion tensor imaging before rehabilitation (T1), 1-month post-rehabilitation (T2), 2 months post-rehabilitation (T3), and 1-year post-discharge (T4). The CST was segmented, and fractional anisotropy (FA), axial diffusion (AD), mean diffusivity (MD), and radial diffusivity (RD) were determined using automated fiber quantification tractography. Baseline level of laterality index (LI) and motor function for correlation analysis. RESULTS The FA values of all segments in the ipsilesional CST (IL-CST) were lower compared with normal CST. Repeated measures analysis of variance showed time-related effects on FA, AD, and MD of the IL-CST, and there were similar dynamic trends in these 3 parameters. At T1, FA, AD, and MD values of the mid-upper segments of IL-CST (around the core lesions) were the lowest; at T2 and T3, values for the mid-lower segments were lower than those at T1, while the values for the mid-upper segments gradually increased; at T4, the values for almost entire IL-CST were higher than before. The highest LI was observed at T2, with a predominance in contralesional CST. The LIs for the FA and AD at T1 were positively correlated with the change rate of motor function. CONCLUSIONS IL-CST showed aggravation followed by improvement from around the lesion to the distal end. Balance of interhemispheric CST may be closely related to motor function, and LIs for FA and AD may have predictive value for mild-to-moderate stroke rehabilitation. Clinical Trial Registration. URL: http://www.chictr.org.cn; Unique Identifier: ChiCTR1800019474.
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Affiliation(s)
- Haojie Zhang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- China Rehabilitation Science Institute, Beijing, China
- Center of Neurological Rehabilitation, China Rehabilitation Research Center, Beijing, China
| | - Jun Zhao
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of Neurology, China Rehabilitation Research Center, Beijing, China
| | - Lingzhong Fan
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xia Wu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fang Li
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of Neurology, China Rehabilitation Research Center, Beijing, China
| | - Jingya Liu
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of occupational therapy, China Rehabilitation Research Center, Beijing, China
| | - Chen Bai
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- China Rehabilitation Science Institute, Beijing, China
- Center of Neurological Rehabilitation, China Rehabilitation Research Center, Beijing, China
| | - Xingzhu Li
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- China Rehabilitation Science Institute, Beijing, China
- Center of Neurological Rehabilitation, China Rehabilitation Research Center, Beijing, China
| | - Bingjie Li
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of Neurology, China Rehabilitation Research Center, Beijing, China
| | - Tong Zhang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- China Rehabilitation Science Institute, Beijing, China
- Center of Neurological Rehabilitation, China Rehabilitation Research Center, Beijing, China
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3
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Stephen CD, Vangel M, Gupta AS, MacMore JP, Schmahmann JD. Rates of change of pons and middle cerebellar peduncle diameters are diagnostic of multiple system atrophy of the cerebellar type. Brain Commun 2024; 6:fcae019. [PMID: 38410617 PMCID: PMC10896291 DOI: 10.1093/braincomms/fcae019] [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: 11/27/2022] [Revised: 12/01/2023] [Accepted: 02/19/2024] [Indexed: 02/28/2024] Open
Abstract
Definitive diagnosis of multiple system atrophy of the cerebellar type (MSA-C) is challenging. We hypothesized that rates of change of pons and middle cerebellar peduncle diameters on MRI would be unique to MSA-C and serve as diagnostic biomarkers. We defined the normative data for anterior-posterior pons and transverse middle cerebellar peduncle diameters on brain MRI in healthy controls, performed diameter-volume correlations and measured intra- and inter-rater reliability. We studied an Exploratory cohort (2002-2014) of 88 MSA-C and 78 other cerebellar ataxia patients, and a Validation cohort (2015-2021) of 49 MSA-C, 13 multiple system atrophy of the parkinsonian type (MSA-P), 99 other cerebellar ataxia patients and 314 non-ataxia patients. We measured anterior-posterior pons and middle cerebellar peduncle diameters on baseline and subsequent MRIs, and correlated results with Brief Ataxia Rating Scale scores. We assessed midbrain:pons and middle cerebellar peduncle:pons ratios over time. The normative anterior-posterior pons diameter was 23.6 ± 1.6 mm, and middle cerebellar peduncle diameter 16.4 ± 1.4 mm. Pons diameter correlated with volume, r = 0.94, P < 0.0001. The anterior-posterior pons and middle cerebellar peduncle measures were smaller at first scan in MSA-C compared to all other ataxias; anterior-posterior pons diameter: Exploratory, 19.3 ± 2.6 mm versus 20.7 ± 2.6 mm, Validation, 19.9 ± 2.1 mm versus 21.1 ± 2.1 mm; middle cerebellar peduncle transverse diameter, Exploratory, 12.0 ± 2.6 mm versus 14.3 ±2.1 mm, Validation, 13.6 ± 2.1 mm versus 15.1 ± 1.8 mm, all P < 0.001. The anterior-posterior pons and middle cerebellar peduncle rates of change were faster in MSA-C than in all other ataxias; anterior-posterior pons diameter rates of change: Exploratory, -0.87 ± 0.04 mm/year versus -0.09 ± 0.02 mm/year, Validation, -0.89 ± 0.48 mm/year versus -0.10 ± 0.21 mm/year; middle cerebellar peduncle transverse diameter rates of change: Exploratory, -0.84 ± 0.05 mm/year versus -0.08 ± 0.02 mm/year, Validation, -0.94 ± 0.64 mm/year versus -0.11 ± 0.27 mm/year, all values P < 0.0001. Anterior-posterior pons and middle cerebellar peduncle diameters were indistinguishable between Possible, Probable and Definite MSA-C. The rate of anterior-posterior pons atrophy was linear, correlating with ataxia severity. Using a lower threshold anterior-posterior pons diameter decrease of -0.4 mm/year to balance sensitivity and specificity, area under the curve analysis discriminating MSA-C from other ataxias was 0.94, yielding sensitivity 0.92 and specificity 0.87. For the middle cerebellar peduncle, with threshold decline -0.5 mm/year, area under the curve was 0.90 yielding sensitivity 0.85 and specificity 0.79. The midbrain:pons ratio increased progressively in MSA-C, whereas the middle cerebellar peduncle:pons ratio was almost unchanged. Anterior-posterior pons and middle cerebellar peduncle diameters were smaller in MSA-C than in MSA-P, P < 0.001. We conclude from this 20-year longitudinal clinical and imaging study that anterior-posterior pons and middle cerebellar peduncle diameters are phenotypic imaging biomarkers of MSA-C. In the correct clinical context, an anterior-posterior pons and transverse middle cerebellar peduncle diameter decline of ∼0.8 mm/year is sufficient for and diagnostic of MSA-C.
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Affiliation(s)
- Christopher D Stephen
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Mark Vangel
- Biostatistics Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
| | - Anoopum S Gupta
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Jason P MacMore
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Jeremy D Schmahmann
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
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4
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Ferreira M, Schaprian T, Kügler D, Reuter M, Deike-Hoffmann K, Timmann D, Ernst TM, Giunti P, Garcia-Moreno H, van de Warrenburg B, van Gaalen J, de Vries J, Jacobi H, Steiner KM, Öz G, Joers JM, Onyike C, Povazan M, Reetz K, Romanzetti S, Klockgether T, Faber J. Cerebellar Volumetry in Ataxias: Relation to Ataxia Severity and Duration. CEREBELLUM (LONDON, ENGLAND) 2024:10.1007/s12311-024-01659-0. [PMID: 38363498 DOI: 10.1007/s12311-024-01659-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/15/2024] [Indexed: 02/17/2024]
Abstract
Cerebellar atrophy is the neuropathological hallmark of most ataxias. Hence, quantifying the volume of the cerebellar grey and white matter is of great interest. In this study, we aim to identify volume differences in the cerebellum between spinocerebellar ataxia type 1 (SCA1), SCA3 and SCA6 as well as multiple system atrophy of cerebellar type (MSA-C). Our cross-sectional data set comprised mutation carriers of SCA1 (N=12), SCA3 (N=62), SCA6 (N=14), as well as MSA-C patients (N=16). Cerebellar volumes were obtained from T1-weighted magnetic resonance images. To compare the different atrophy patterns, we performed a z-transformation and plotted the intercept of each patient group's model at the mean of 7 years of ataxia duration as well as at the mean ataxia severity of 14 points in the SARA sum score. In addition, we plotted the extrapolation at ataxia duration of 0 years as well as 0 points in the SARA sum score. Patients with MSA-C demonstrated the most pronounced volume loss, particularly in the cerebellar white matter, at the late time intercept. Patients with SCA6 showed a pronounced volume loss in cerebellar grey matter with increasing ataxia severity compared to all other patient groups. MSA-C, SCA1 and SCA3 showed a prominent atrophy of the cerebellar white matter. Our results (i) confirmed SCA6 being considered as a pure cerebellar grey matter disease, (ii) emphasise the involvement of cerebellar white matter in the neuropathology of SCA1, SCA3 and MSA-C, and (iii) reflect the rapid clinical progression in MSA-C.
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Affiliation(s)
- Mónica Ferreira
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Rhenish Friedrich Wilhelm University of Bonn, Bonn, Germany
| | - Tamara Schaprian
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - David Kügler
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Martin Reuter
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | | | - Dagmar Timmann
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Duisburg, Germany
| | - Thomas M Ernst
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Duisburg, Germany
| | - Paola Giunti
- Ataxia Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Hector Garcia-Moreno
- Ataxia Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Bart van de Warrenburg
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Judith van Gaalen
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Neurology Department, Rijnstate Hospital, Arnhem, The Netherlands
| | - Jeroen de Vries
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Heike Jacobi
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Katharina Marie Steiner
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Duisburg, Germany
| | - Gülin Öz
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - James M Joers
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Chiadi Onyike
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michal Povazan
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kathrin Reetz
- Department of Neurology, RWTH Aachen University, Aachen, Germany
- JARA-Brain Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich, Jülich, Germany
| | | | - Thomas Klockgether
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Jennifer Faber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
- Department of Neurology, University Hospital Bonn, Bonn, Germany.
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5
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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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6
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Jellinger KA. Morphological differences between the two major subtypes of multiple system atrophy with cognitive impairment. Parkinsonism Relat Disord 2023; 107:105273. [PMID: 36603328 DOI: 10.1016/j.parkreldis.2022.105273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 11/17/2022] [Accepted: 12/29/2022] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To compare the neuropathology between two types of multiple system atrophy - parkinsonism-predominant (MSA-P) and cerebellar ataxia-predominant (MSA-C) with cognitive impairment. MATERIAL & METHODS 35 cases of MSA-P (mean age at death 60.5 ± 7.8 years) and 15 cases of MSA-C (mean age at death 61.3 ± 6.8 years), 35.% of which associated with mild to moderate cognitive impairment and one with severe dementia, were examined neuropathologically with semiquantitative evaluation of both α-synuclein and Alzheimer pathologies, including cerebral amyloid angiopathy (CAA) and other co-pathologies. RESULTS While the mean age at death of both MSA subgroups was similar, the age at onset and duration of disease were slightly higher in the MSA-C group. In line with the classification, the αSyn pathology glial and neuronal inclusions in both the cortex and brainstem were significantly higher in the MSA-P group. With regard to the Alzheimer disease pathology, tau load in cases with mild to moderate cognitive impairment was slightly but not significantly higher in the MSA-P group, one with severe dementia showing fully developed Alzheimer co-pathology, while the amyloid-β (Aβ) load including the CAA was higher in the MSA-C group. The presence of Lewy co-pathology in this series (20%), being similar to that of other MSA cohorts, was more frequent in MSA cases with mild to severe cognitive impairment, but did not differ between the two subgroups and seems not essentially important for MCI in MSA. CONCLUSIONS In agreement with previous clinical studies that reported more severe cognitive dysfunction in patients with MSA-P, the present neuropathological study showed increased tau pathology in MSA-P and one with severe Alzheimer co-pathology, but only slightly increased amyloid pathology in the MSA-C group. Lewy co-pathology was more frequent in MSA-P cases with cognitive decline. In view of the limited data about the pathobiological basis of cognitive impairment in MSA, further studies to elucidate the differences between the two phenotypes are urgently needed.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, A-1150, Vienna, Austria.
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7
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Oender D, Faber J, Wilke C, Schaprian T, Lakghomi A, Mengel D, Schöls L, Traschütz A, Fleszar Z, Dufke C, Vielhaber S, Machts J, Giordano I, Grobe-Einsler M, Klopstock T, Stendel C, Boesch S, Nachbauer W, Timmann-Braun D, Thieme AG, Kamm C, Dudesek A, Tallaksen C, Wedding I, Filla A, Schmid M, Synofzik M, Klockgether T. Evolution of Clinical Outcome Measures and Biomarkers in Sporadic Adult-Onset Degenerative Ataxia. Mov Disord 2023; 38:654-664. [PMID: 36695111 DOI: 10.1002/mds.29324] [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: 09/12/2022] [Revised: 11/11/2022] [Accepted: 12/22/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Sporadic adult-onset ataxias without known genetic or acquired cause are subdivided into multiple system atrophy of cerebellar type (MSA-C) and sporadic adult-onset ataxia of unknown etiology (SAOA). OBJECTIVES To study the differential evolution of both conditions including plasma neurofilament light chain (NfL) levels and magnetic resonance imaging (MRI) markers. METHODS SPORTAX is a prospective registry of sporadic ataxia patients with an onset >40 years. Scale for the Assessment and Rating of Ataxia was the primary outcome measure. In subgroups, blood samples were taken and MRIs performed. Plasma NfL was measured via a single molecule assay. Regional brain volumes were automatically measured. To assess signal changes, we defined the pons and middle cerebellar peduncle abnormality score (PMAS). Using mixed-effects models, we analyzed changes on a time scale starting with ataxia onset. RESULTS Of 404 patients without genetic diagnosis, 130 met criteria of probable MSA-C at baseline and 26 during follow-up suggesting clinical conversion to MSA-C. The remaining 248 were classified as SAOA. At baseline, NfL, cerebellar white matter (CWM) and pons volume, and PMAS separated MSA-C from SAOA. NfL decreased in MSA-C and did not change in SAOA. CWM and pons volume decreased faster, whereas PMAS increased faster in MSA-C. In MSA-C, pons volume had highest sensitivity to change, and PMAS was a predictor of faster progression. Fulfillment of possible MSA criteria, NfL and PMAS were risk factors, CWM and pons volume protective factors for conversion to MSA-C. CONCLUSIONS This study provides detailed information on differential evolution and prognostic relevance of biomarkers in MSA-C and SAOA. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Demet Oender
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Jennifer Faber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Carlo Wilke
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Tamara Schaprian
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Asadeh Lakghomi
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | - David Mengel
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Ludger Schöls
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Andreas Traschütz
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Zofia Fleszar
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Claudia Dufke
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Stefan Vielhaber
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Judith Machts
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Ilaria Giordano
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Marcus Grobe-Einsler
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Thomas Klopstock
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Neurology, Friedrich-Baur-Institute, Ludwig-Maximilians-University, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Claudia Stendel
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Neurology, Friedrich-Baur-Institute, Ludwig-Maximilians-University, Munich, Germany
| | - Sylvia Boesch
- Department of Neurology and Center for Rare Movement Disorders, Medical University Innsbruck, Austria
| | - Wolfgang Nachbauer
- Department of Neurology and Center for Rare Movement Disorders, Medical University Innsbruck, Austria
| | - Dagmar Timmann-Braun
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, Essen, Germany
| | - Andreas Gustafsson Thieme
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, Essen, Germany
| | - Christoph Kamm
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Neurology, University of Rostock, Germany
| | - Ales Dudesek
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Neurology, University of Rostock, Germany
| | | | - Iselin Wedding
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alessandro Filla
- Department of Neurosciences Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | - Matthias Schmid
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Thomas Klockgether
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University Hospital Bonn, Bonn, Germany
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8
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Yang XL, Guo Y, Chen SF, Cui M, Shao RR, Huang YY, Luo YF, Dong ZY, Dong Q, Wu DH, Yu JT. Cerebral Small Vessel Disease Is Associated with Motor, Cognitive, and Emotional Dysfunction in Multiple System Atrophy. JOURNAL OF PARKINSON'S DISEASE 2023; 13:1239-1252. [PMID: 37742661 PMCID: PMC10657662 DOI: 10.3233/jpd-230166] [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: 09/01/2023] [Indexed: 09/26/2023]
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) has not been systematically studied in patients with multiple system atrophy (MSA). OBJECTIVE We sought to explore whether MSA patients suffer from a heavier CSVD burden relative to healthy individuals and whether CSVD has a relationship with motor, cognitive, and emotional dysfunction in patients with MSA. METHODS This study consecutively recruited 190 MSA patients and 190 matched healthy controls whose overall CSVD burden and single CSVD imaging markers (including white matter hyperintensity (WMH), microbleeds, lacunes, and enlarged perivascular spaces (EPVS)) were measured. Of the MSA patients, 118 completed multi-dimensional outcome assessments. Spearman's correlations and multivariable linear regressions were performed. RESULTS We observed a greater burden of overall CSVD, WMH, and EPVS in MSA patients compared with controls, but not for microbleeds and lacunes. Motor dysfunction and cognitive impairment were significantly worse in subjects with severe CSVD than those with none-to-mild CSVD. In patients with MSA, the severity of CSVD burden was positively associated with motor impairments as measured by the Unified Multiple System Atrophy Rating Scale-II (β= 2.430, p = 0.039) and Scale for the Assessment and Rating of Ataxia (β= 1.882, p = 0.015). Of CSVD imaging markers, different associations with MSA outcomes were displayed. WMH was associated with motor, cognitive, and emotional deficits, while the EPVS in the centrum semiovale, basal ganglia, and hippocampus regions was correlated only with motor severity, anxiety, and cognition, respectively. Similar findings were noted in MSA-cerebellar and MSA-parkinsonian patients. CONCLUSIONS Concomitant CSVD may be correlated with worse multi-dimensional dysfunction in patients with MSA.
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Affiliation(s)
- Xiao-Li Yang
- Department of Neurology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
| | - Yu Guo
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shu-Fen Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Mei Cui
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Rong-Rong Shao
- Department of Neurology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
| | - Yu-Yuan Huang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Yu-Fan Luo
- Department of Neurology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
| | - Zhi-Yuan Dong
- Department of Neurology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Dan-Hong Wu
- Department of Neurology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
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9
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Faber J, Kügler D, Bahrami E, Heinz LS, Timmann D, Ernst TM, Deike-Hofmann K, Klockgether T, van de Warrenburg B, van Gaalen J, Reetz K, Romanzetti S, Oz G, Joers JM, Diedrichsen J, Reuter M, Garcia-Moreno H, Jacobi H, Jende J, de Vries J, Povazan M, Barker PB, Steiner KM, Krahe J. CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation. Neuroimage 2022; 264:119703. [PMID: 36349595 PMCID: PMC9771831 DOI: 10.1016/j.neuroimage.2022.119703] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 10/18/2022] [Indexed: 11/07/2022] Open
Abstract
Quantifying the volume of the cerebellum and its lobes is of profound interest in various neurodegenerative and acquired diseases. Especially for the most common spinocerebellar ataxias (SCA), for which the first antisense oligonculeotide-base gene silencing trial has recently started, there is an urgent need for quantitative, sensitive imaging markers at pre-symptomatic stages for stratification and treatment assessment. This work introduces CerebNet, a fully automated, extensively validated, deep learning method for the lobular segmentation of the cerebellum, including the separation of gray and white matter. For training, validation, and testing, T1-weighted images from 30 participants were manually annotated into cerebellar lobules and vermal sub-segments, as well as cerebellar white matter. CerebNet combines FastSurferCNN, a UNet-based 2.5D segmentation network, with extensive data augmentation, e.g. realistic non-linear deformations to increase the anatomical variety, eliminating additional preprocessing steps, such as spatial normalization or bias field correction. CerebNet demonstrates a high accuracy (on average 0.87 Dice and 1.742mm Robust Hausdorff Distance across all structures) outperforming state-of-the-art approaches. Furthermore, it shows high test-retest reliability (average ICC >0.97 on OASIS and Kirby) as well as high sensitivity to disease effects, including the pre-ataxic stage of spinocerebellar ataxia type 3 (SCA3). CerebNet is compatible with FreeSurfer and FastSurfer and can analyze a 3D volume within seconds on a consumer GPU in an end-to-end fashion, thus providing an efficient and validated solution for assessing cerebellum sub-structure volumes. We make CerebNet available as source-code (https://github.com/Deep-MI/FastSurfer).
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Affiliation(s)
- Jennifer Faber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,Department of Neurology, University Hospital Bonn, Germany
| | - David Kügler
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Emad Bahrami
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,Computer Science Department, University Bonn, Bonn, Germany
| | - Lea-Sophie Heinz
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Dagmar Timmann
- Department of Neurology, Center for Translational Neuro, and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Thomas M. Ernst
- Department of Neurology, Center for Translational Neuro, and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | | | - Thomas Klockgether
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,Department of Neurology, University Hospital Bonn, Germany
| | - Bart van de Warrenburg
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Judith van Gaalen
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Kathrin Reetz
- Department of Neurology, RWTH Aachen University, Germany,JARA-Brain Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich, Germany
| | | | - Gulin Oz
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - James M. Joers
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Jorn Diedrichsen
- Departments of Computer Science and Statistical and Actuarial Sciences, Western University, London, ON, Canada
| | - ESMI MRI Study GroupGiuntiPaola1Garcia-MorenoHector1JacobiHeike3JendeJohann4de VriesJeroen5PovazanMichal6BarkerPeter B.6SteinerKatherina Marie8KraheJanna9Ataxia Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology & National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UKDepartment of Neurology, University Hospital of Heidelberg, Heidelberg, GermanyDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, GermanyDepartment of Neurology, Expertise Center Movement Disorders Groningen, University Medical Center Groningen, University of Groningen, The NetherlandsJohns Hopkins University School of Medicine, Baltimore, MD, U.S.Department of Neurology, Center for Translational Neuro, and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, GermanyDepartment of Neurology, RWTH Aachen University, Germany
| | - Martin Reuter
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA,Department of Radiology, Harvard Medical School, Boston, MA, USA,Corresponding author.
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10
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Roberts LJ, McVeigh M, Seiderer L, Harding IH, Corben LA, Delatycki M, Szmulewicz DJ. Overview of the Clinical Approach to Individuals With Cerebellar Ataxia and Neuropathy. Neurol Genet 2022; 8:e200021. [PMID: 36187726 PMCID: PMC9520343 DOI: 10.1212/nxg.0000000000200021] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 07/06/2022] [Indexed: 06/16/2023]
Abstract
Increasingly, cerebellar syndromes are recognized as affecting multiple systems. Extracerebellar features include peripheral neuropathies affecting proprioception; cranial neuropathies such as auditory and vestibular; and neuronopathies, for example, dorsal root and vestibular. The presence of such features, which in and of themselves may cause ataxia, likely contribute to key disabilities such as gait instability and falls. Based on the evolving available literature and experience, we outline a clinical approach to the diagnosis of adult-onset ataxia where a combination of cerebellar and peripheral or cranial nerve pathology exists. Objective diagnostic modalities including electrophysiology, oculomotor, and vestibular function testing are invaluable in accurately defining an individual's phenotype. Advances in MRI techniques have led to an increased recognition of disease-specific patterns of cerebellar pathology, including those conditions where neuronopathies may be involved. Depending on availability, a stepwise approach to genetic testing is suggested. This is guided by factors such as pattern of inheritance and age at disease onset, and genetic testing may range from specific genetic panels through to whole-exome and whole-genome sequencing. Management is best performed with the involvement of a multidisciplinary team, aiming at minimization of complications such as falls and aspiration pneumonia and maximizing functional status.
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11
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Pasquini J, Firbank MJ, Ceravolo R, Silani V, Pavese N. Diffusion Magnetic Resonance Imaging Microstructural Abnormalities in Multiple System Atrophy: A Comprehensive Review. Mov Disord 2022; 37:1963-1984. [PMID: 36036378 DOI: 10.1002/mds.29195] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 07/22/2022] [Accepted: 08/01/2022] [Indexed: 01/07/2023] Open
Abstract
Multiple system atrophy (MSA) is a neurodegenerative disease characterized by autonomic failure, ataxia, and/or parkinsonism. Its prominent pathological alterations can be investigated using diffusion magnetic resonance imaging (dMRI), a technique that exploits the characteristics of water random motion inside brain tissue. The aim of this report was to review currently available literature on the application of dMRI in MSA and to describe microstructural abnormalities, diagnostic applications, and pathophysiological correlates. Sixty-four published studies involving microstructural investigation using dMRI in MSA were included. Widespread microstructural abnormalities of white matter were described, especially in the middle cerebellar peduncle, corticospinal tract, and hemispheric fibers. Gray matter degeneration was identified as well, with diffuse involvement of subcortical structures, especially in the putamina. Diagnostic applications of dMRI were mostly explored for the differential diagnosis between MSA parkinsonism and Parkinson's disease. Recently, machine learning algorithms for image processing and disease classification have demonstrated high diagnostic accuracy, showing potential for translation into clinical practice. To a lesser extent, clinical correlates of microstructural abnormalities have also been investigated, and abnormalities related to motor, ocular, and cognitive impairments were described. dMRI in MSA has contributed to in vivo identification of known pathological abnormalities. Translation into clinical practice of the latest advancements for the differential diagnosis between MSA and other forms of parkinsonism seems feasible. Current limitations involve the possibility of correctly diagnosing MSA in the very early stages, when the clinical diagnosis is most uncertain. Furthermore, pathophysiological correlates of microstructural abnormalities remain understudied. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Jacopo Pasquini
- Clinical Ageing Research Unit, Newcastle University, Newcastle upon Tyne, United Kingdom.,Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Michael J Firbank
- Positron Emission Tomography Centre, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Roberto Ceravolo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,Neurodegenerative Diseases Center, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, Istituto Auxologico Italiano IRCCS, Milan, Italy.,Department of Pathophysiology and Transplantation, Dino Ferrari Center, Università degli Studi di Milano, Milan, Italy
| | - Nicola Pavese
- Clinical Ageing Research Unit, Newcastle University, Newcastle upon Tyne, United Kingdom.,Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
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12
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Combined functional and structural imaging of brain white matter reveals stage-dependent impairment in multiple system atrophy of cerebellar type. NPJ Parkinsons Dis 2022; 8:105. [PMID: 35977953 PMCID: PMC9385720 DOI: 10.1038/s41531-022-00371-2] [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: 12/06/2021] [Accepted: 07/26/2022] [Indexed: 12/04/2022] Open
Abstract
Advances in fMRI of brain white matter (WM) have established the feasibility of understanding how functional signals of WM evolve with brain diseases. By combining functional signals with structural features of WM, the current study characterizes functional and structural impairments of WM in cerebelar type multiple system atrophy, with the goal to derive new mechanistic insights into the pathological progression of this disease. Our analysis of 30 well-diagnosed patients revealed pronounced decreases in functional connectivity in WM bundles of the cerebellum and brainstem, and concomitant local structural alterations that depended on the disease stage. The novel findings implicate a critical time point in the pathological evolution of the disease, which could guide optimal therapeutic interventions. Furthermore, fMRI signals of impaired WM bundles exhibited superior sensitivity in differentiating initial disease development, which demonstrates great potential of using these signals to inform disease management.
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13
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Liu Y, Castano D, Girolamo F, Trigueros-Motos L, Bae HG, Neo SP, Oh J, Narayanaswamy P, Torta F, Rye KA, Jo DG, Gunaratne J, Jung S, Virgintino D, Singaraja RR. Abca8b promotes myelination via regulation of chondroitin sulfate proteoglycan 4 localization in oligodendrocyte precursor cells in mice. J Lipid Res 2021; 63:100147. [PMID: 34752805 PMCID: PMC8953628 DOI: 10.1016/j.jlr.2021.100147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 10/31/2021] [Accepted: 11/01/2021] [Indexed: 01/29/2023] Open
Abstract
The myelin sheath, which is wrapped around axons, is a lipid-enriched structure produced by mature oligodendrocytes. Disruption of the myelin sheath is observed in several neurological diseases, such as multiple sclerosis. A crucial component of myelin is sphingomyelin, levels of which can be increased by ABCA8, a member of the ATP-binding cassette transporter family. ABCA8 is highly expressed in the cerebellum, specifically in oligodendroglia. However, whether ABCA8 plays a role in myelination and mechanisms that would underlie this role remain unknown. Here, we found that the absence of Abca8b, a mouse ortholog of ABCA8, led to decreased numbers of cerebellar oligodendrocyte precursor cells (OPCs) and mature oligodendrocytes in mice. We show that in oligodendrocytes, ABCA8 interacts with chondroitin sulfate proteoglycan 4 (CSPG4), a molecule essential for OPC proliferation, migration, and myelination. In the absence of Abca8b, localization of CSPG4 to the plasma membrane was decreased, contributing to reduced cerebellar CSPG4 expression. Cerebellar CSPG4+ OPCs were also diminished, leading to decreased mature myelinating oligodendrocyte numbers and cerebellar myelination levels in Abca8b−/− mice. In addition, electron microscopy analyses showed that the number of nonmyelinated cerebellar axons was increased, whereas cerebellar myelin thickness (g-ratio), myelin sheath periodicity, and axonal diameter were all decreased, indicative of disordered myelin ultrastructure. In line with disrupted cerebellar myelination, Abca8b−/− mice showed lower cerebellar conduction velocity and disturbed locomotion. In summary, ABCA8 modulates cerebellar myelination, in part through functional regulation of the ABCA8-interacting protein CSPG4. Our findings suggest that ABCA8 disruption may contribute to the pathophysiology of myelin disorders.
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Affiliation(s)
- Yiran Liu
- Translational Laboratories in Genetic Medicine, Agency for Science, Technology and Research, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Cardiovascular Research Institute, National University Health System, Singapore
| | - David Castano
- Translational Laboratories in Genetic Medicine, Agency for Science, Technology and Research, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Cardiovascular Research Institute, National University Health System, Singapore
| | - Francesco Girolamo
- Department of Basic Medical Sciences, Neurosciences, and Sensory Organs, Human Anatomy and Histology Unit, University of Bari School of Medicine, Bari, Italy
| | - Laia Trigueros-Motos
- Translational Laboratories in Genetic Medicine, Agency for Science, Technology and Research, Singapore
| | - Han-Gyu Bae
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research, Singapore
| | - Suat Peng Neo
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore
| | - Jeongah Oh
- Singapore Lipidomics Incubator, Department of Biochemistry, Life Sciences Institute and Yong Loo Lin School of Medicine, National University of Singapore
| | - Pradeep Narayanaswamy
- Singapore Lipidomics Incubator, Department of Biochemistry, Life Sciences Institute and Yong Loo Lin School of Medicine, National University of Singapore
| | - Federico Torta
- Singapore Lipidomics Incubator, Department of Biochemistry, Life Sciences Institute and Yong Loo Lin School of Medicine, National University of Singapore
| | - Kerry Anne Rye
- University of New South Wales, School of Medical Sciences, Sydney, Australia
| | - Dong-Gyu Jo
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Korea
| | - Jayantha Gunaratne
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore
| | - Sangyong Jung
- Singapore Bioimaging Consortium, Agency for Science, Technology and Research, Singapore
| | - Daniela Virgintino
- Department of Basic Medical Sciences, Neurosciences, and Sensory Organs, Human Anatomy and Histology Unit, University of Bari School of Medicine, Bari, Italy
| | - Roshni R Singaraja
- Translational Laboratories in Genetic Medicine, Agency for Science, Technology and Research, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Cardiovascular Research Institute, National University Health System, Singapore.
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14
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Ponticorvo S, Manara R, Russillo MC, Erro R, Picillo M, Di Salle G, Di Salle F, Barone P, Esposito F, Pellecchia MT. Magnetic resonance T1w/T2w ratio and voxel-based morphometry in multiple system atrophy. Sci Rep 2021; 11:21683. [PMID: 34737396 PMCID: PMC8569168 DOI: 10.1038/s41598-021-01222-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 10/22/2021] [Indexed: 11/09/2022] Open
Abstract
Diagnosis of multiple system atrophy (MSA) may be improved by using multimodal imaging approaches. We investigated the use of T1-weighted/T2-weighted (T1w/T2w) images ratio combined with voxel-based morphometry to evaluate brain tissue integrity in MSA compared to Parkinson’s disease (PD) and healthy controls (HC). Twenty-six patients with MSA, 43 patients with PD and 56 HC were enrolled. Whole brain voxel-based and local regional analyses were performed to evaluate gray and white matter (GM and WM) tissue integrity and mean regional values were used for patients classification using logistic regression. Increased mean regional values of T1w/T2w in bilateral putamen were detected in MSA-P compared to PD and HC. The combined use of regional GM and T1w/T2w values in the right and left putamen showed the highest accuracy in discriminating MSA-P from PD and good accuracy in discriminating MSA from PD and HC. A good accuracy was also found in discriminating MSA from PD and HC by either combining regional GM and T1w/T2w values in the cerebellum or regional WM and T1w/T2w in the cerebellum and brainstem. The T1w/T2w image ratio alone or combined with validated MRI parameters can be further considered as a potential candidate biomarker for differential diagnosis of MSA.
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Affiliation(s)
- S Ponticorvo
- Neuroscience Section, Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, 84131, Salerno, Italy
| | - R Manara
- Neuroradiology Unit, Department of Neurosciences, University of Padua, Padua, Italy
| | - M C Russillo
- Neuroscience Section, Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, 84131, Salerno, Italy
| | - R Erro
- Neuroscience Section, Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, 84131, Salerno, Italy
| | - M Picillo
- Neuroscience Section, Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, 84131, Salerno, Italy
| | - G Di Salle
- Classe di Scienze Sperimentali, Scuola Superiore di Studi Universitari e Perfezionamento Sant'Anna, Pisa, Italy
| | - F Di Salle
- Neuroscience Section, Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, 84131, Salerno, Italy
| | - P Barone
- Neuroscience Section, Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, 84131, Salerno, Italy
| | - F Esposito
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - M T Pellecchia
- Neuroscience Section, Department of Medicine, Surgery and Dentistry, Scuola Medica Salernitana, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, 84131, Salerno, Italy.
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15
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Öz G, Harding IH, Krahe J, Reetz K. MR imaging and spectroscopy in degenerative ataxias: toward multimodal, multisite, multistage monitoring of neurodegeneration. Curr Opin Neurol 2021; 33:451-461. [PMID: 32657886 DOI: 10.1097/wco.0000000000000834] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Degenerative ataxias are rare and currently untreatable movement disorders, primarily characterized by neurodegeneration in the cerebellum and brainstem. We highlight MRI studies with the most potential for utility in pending ataxia trials and underscore advances in disease characterization and diagnostics in the field. RECENT FINDINGS With availability of advanced MRI acquisition methods and specialized software dedicated to the analysis of MRI of the cerebellum, patterns of cerebellar atrophy in different degenerative ataxias are increasingly well defined. The field further embraced rigorous multimodal investigations to study network-level microstructural and functional brain changes and their neurochemical correlates. MRI and magnetic resonance spectroscopy were shown to be more sensitive to disease progression than clinical scales and to detect abnormalities in premanifest mutation carriers. SUMMARY Magnetic resonance techniques are increasingly well placed for characterizing the expression and progression of degenerative ataxias. The most impactful work has arguably come through multi-institutional studies that monitor relatively large cohorts, multimodal investigations that assess the sensitivity of different measures and their interrelationships, and novel imaging approaches that are targeted to known pathophysiology (e.g., iron and spinal imaging in Friedreich ataxia). These multimodal, multi-institutional studies are paving the way to clinical trial readiness and enhanced understanding of disease in degenerative ataxias.
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Affiliation(s)
- Gülin Öz
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, United States
| | - Ian H Harding
- Department of Neuroscience, Central Clinical School.,Monash Biomedical Imaging, Monash University, Melbourne, Australia
| | - Janna Krahe
- Department of Neurology.,JARA Brain Institute Molecular Neuroscience and Neuroimaging, Research Centre Ju[Combining Diaeresis]lich, RWTH Aachen University, Aachen, Germany
| | - Kathrin Reetz
- Department of Neurology.,JARA Brain Institute Molecular Neuroscience and Neuroimaging, Research Centre Ju[Combining Diaeresis]lich, RWTH Aachen University, Aachen, Germany
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