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Orlandi F, Carlos AF, Ali F, Clark HM, Duffy JR, Utianski RL, Botha H, Machulda MM, Stephens YC, Schwarz CG, Senjem ML, Jack CR, Agosta F, Filippi M, Dickson DW, Josephs KA, Whitwell JL. Histologic tau lesions and magnetic resonance imaging biomarkers differ across two progressive supranuclear palsy variants. Brain Commun 2024; 6:fcae113. [PMID: 38660629 PMCID: PMC11040515 DOI: 10.1093/braincomms/fcae113] [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: 08/01/2023] [Revised: 03/15/2024] [Accepted: 04/03/2024] [Indexed: 04/26/2024] Open
Abstract
Progressive supranuclear palsy is a neurodegenerative disease characterized by the deposition of four-repeat tau in neuronal and glial lesions in the brainstem, cerebellar, subcortical and cortical brain regions. There are varying clinical presentations of progressive supranuclear palsy with different neuroimaging signatures, presumed to be due to different topographical distributions and burden of tau. The classic Richardson syndrome presentation is considered a subcortical variant, whilst progressive supranuclear palsy with predominant speech and language impairment is considered a cortical variant, although the pathological underpinnings of these variants are unclear. In this case-control study, we aimed to determine whether patterns of regional tau pathology differed between these variants and whether tau burden correlated with neuroimaging. Thirty-three neuropathologically confirmed progressive supranuclear palsy patients with either the Richardson syndrome (n = 17) or speech/language (n = 16) variant and ante-mortem magnetic resonance imaging were included. Tau lesion burden was semi-quantitatively graded in cerebellar, brainstem, subcortical and cortical regions and combined to form neuronal and glial tau scores. Regional magnetic resonance imaging volumes were converted to Z-scores using 33 age- and sex-matched controls. Diffusion tensor imaging metrics, including fractional anisotropy and mean diffusivity, were calculated. Tau burden and neuroimaging metrics were compared between groups and correlated using linear regression models. Neuronal and glial tau burden were higher in motor and superior frontal cortices in the speech/language variant. In the subcortical and brainstem regions, only the glial tau burden differed, with a higher burden in globus pallidus, subthalamic nucleus, substantia nigra and red nucleus in Richardson's syndrome. No differences were observed in the cerebellar dentate and striatum. Greater volume loss was observed in the motor cortex in the speech/language variant and in the subthalamic nucleus, red nucleus and midbrain in Richardson's syndrome. Fractional anisotropy was lower in the midbrain and superior cerebellar peduncle in Richardson's syndrome. Mean diffusivity was greater in the superior frontal cortex in the speech/language variant and midbrain in Richardson's syndrome. Neuronal tau burden showed associations with volume loss, lower fractional anisotropy and higher mean diffusivity in the superior frontal cortex, although these findings did not survive correction for multiple comparisons. Results suggest that a shift in the distribution of tau, particularly neuronal tau, within the progressive supranuclear palsy network of regions is driving different clinical presentations in progressive supranuclear palsy. The possibility of different disease epicentres in these clinical variants has potential implications for the use of imaging biomarkers in progressive supranuclear palsy.
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Affiliation(s)
- Francesca Orlandi
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Neurology and Neurophysiology, IRCCS San Raffaele University, Milan 20132, Italy
| | - Arenn F Carlos
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Farwa Ali
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Heather M Clark
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Joseph R Duffy
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Rene L Utianski
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA
| | | | | | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Information Technology, Mayo Clinic, Rochester, MN 55905, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Federica Agosta
- Department of Neurology and Neurophysiology, IRCCS San Raffaele University, Milan 20132, Italy
- Division of Neuroscience, Neuroimaging Research Unit, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Massimo Filippi
- Department of Neurology and Neurophysiology, IRCCS San Raffaele University, Milan 20132, Italy
- Division of Neuroscience, Neuroimaging Research Unit, Institute of Experimental Neurology, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
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2
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Street D, Bevan-Jones WR, Malpetti M, Jones PS, Passamonti L, Ghosh BC, Rittman T, Coyle-Gilchrist IT, Allinson K, Dawson CE, Rowe JB. Structural correlates of survival in progressive supranuclear palsy. Parkinsonism Relat Disord 2023; 116:105866. [PMID: 37804622 PMCID: PMC7615224 DOI: 10.1016/j.parkreldis.2023.105866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 08/12/2023] [Accepted: 09/25/2023] [Indexed: 10/09/2023]
Abstract
INTRODUCTION Many studies of the Richardson's syndrome phenotype of progressive supranuclear palsy (PSP) have elucidated regions of progressive atrophy and neural correlates of clinical severity. However, the neural correlates of survival and how these differ according to variant phenotypes are poorly understood. We set out to identify structural changes that predict severity and survival from scanning date to death. METHODS Structural magnetic resonance imaging data from 112 deceased people with clinically defined 'probable' or 'possible' PSP were analysed. Neuroanatomical regions of interest volumes, thickness and area were correlated with 'temporal stage', defined as the ratio of time from symptom onset to death, time from scan to death ('survival from scan'), and in a subset of patients, clinical severity, adjusting for age and total intracranial volume. Forty-nine participants had post mortem confirmation of the diagnosis. RESULTS Using T1-weighted magnetic resonance imaging, we confirmed the midbrain, and bilateral cortical structural correlates of contemporary disease severity. Atrophy of the striatum, cerebellum and frontotemporal cortex correlate with temporal stage and survival from scan, even after adjusting for severity. Subcortical structure-survival relationships were stronger in Richardson's syndrome than variant phenotypes. CONCLUSIONS Although the duration of PSP varies widely between people, an individual's progress from disease onset to death (their temporal stage) reflects atrophy in striatal, cerebellar and frontotemporal cortical regions. Our findings suggest magnetic resonance imaging may contribute to prognostication and stratification of patients with heterogenous clinical trajectories and clarify the processes that confer mortality risk in PSP.
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Affiliation(s)
- Duncan Street
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK
| | | | - Maura Malpetti
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK
| | - P Simon Jones
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK
| | - Luca Passamonti
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK; Consiglio Nazionale Delle Ricerche (CNR), Istituto di Bioimmagini e Fisiologia Molecolare (IBFM), Milano, Italy
| | - Boyd Cp Ghosh
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK; Wessex Neurological Centre, University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - Timothy Rittman
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK
| | - Ian Ts Coyle-Gilchrist
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK; Norfolk and Norwich NHS Foundation Trust, Norwich, UK
| | - Kieren Allinson
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK; Department of Pathology, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Catherine E Dawson
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK
| | - James B Rowe
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
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Quattrone A, Sarica A, Buonocore J, Morelli M, Bianco MG, Calomino C, Aracri F, De Maria M, Vescio B, Vaccaro MG, Quattrone A. Differentiating between common PSP phenotypes using structural MRI: a machine learning study. J Neurol 2023; 270:5502-5515. [PMID: 37507502 PMCID: PMC10576703 DOI: 10.1007/s00415-023-11892-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 07/30/2023]
Abstract
BACKGROUND Differentiating Progressive supranuclear palsy-Richardson's syndrome (PSP-RS) from PSP-Parkinsonism (PSP-P) may be extremely challenging. In this study, we aimed to distinguish these two PSP phenotypes using MRI structural data. METHODS Sixty-two PSP-RS, 40 PSP-P patients and 33 control subjects were enrolled. All patients underwent brain 3 T-MRI; cortical thickness and cortical/subcortical volumes were extracted using Freesurfer on T1-weighted images. We calculated the automated MR Parkinsonism Index (MRPI) and its second version including also the third ventricle width (MRPI 2.0) and tested their classification performance. We also employed a Machine learning (ML) classification approach using two decision tree-based algorithms (eXtreme Gradient Boosting [XGBoost] and Random Forest) with different combinations of structural MRI data in differentiating between PSP phenotypes. RESULTS MRPI and MRPI 2.0 had AUC of 0.88 and 0.81, respectively, in differentiating PSP-RS from PSP-P. ML models demonstrated that the combination of MRPI and volumetric/thickness data was more powerful than each feature alone. The two ML algorithms showed comparable results, and the best ML model in differentiating between PSP phenotypes used XGBoost with a combination of MRPI, cortical thickness and subcortical volumes (AUC 0.93 ± 0.04). Similar performance (AUC 0.93 ± 0.06) was also obtained in a sub-cohort of 59 early PSP patients. CONCLUSION The combined use of MRPI and volumetric/thickness data was more accurate than each MRI feature alone in differentiating between PSP-RS and PSP-P. Our study supports the use of structural MRI to improve the early differential diagnosis between common PSP phenotypes, which may be relevant for prognostic implications and patient inclusion in clinical trials.
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Affiliation(s)
- Andrea Quattrone
- Department of Medical and Surgical Sciences, Institute of Neurology, Magna Graecia University, Catanzaro, Italy
| | - Alessia Sarica
- Department of Medical and Surgical Sciences, Neuroscience Research Center, University "Magna Graecia", Viale Europa, Germaneto, 88100, Catanzaro, Italy
| | - Jolanda Buonocore
- Department of Medical and Surgical Sciences, Institute of Neurology, Magna Graecia University, Catanzaro, Italy
| | - Maurizio Morelli
- Department of Medical and Surgical Sciences, Institute of Neurology, Magna Graecia University, Catanzaro, Italy
| | - Maria Giovanna Bianco
- Department of Medical and Surgical Sciences, Neuroscience Research Center, University "Magna Graecia", Viale Europa, Germaneto, 88100, Catanzaro, Italy
| | - Camilla Calomino
- Department of Medical and Surgical Sciences, Neuroscience Research Center, University "Magna Graecia", Viale Europa, Germaneto, 88100, Catanzaro, Italy
| | - Federica Aracri
- Department of Medical and Surgical Sciences, Neuroscience Research Center, University "Magna Graecia", Viale Europa, Germaneto, 88100, Catanzaro, Italy
| | - Marida De Maria
- Department of Medical and Surgical Sciences, Neuroscience Research Center, University "Magna Graecia", Viale Europa, Germaneto, 88100, Catanzaro, Italy
| | | | - Maria Grazia Vaccaro
- Department of Medical and Surgical Sciences, Neuroscience Research Center, University "Magna Graecia", Viale Europa, Germaneto, 88100, Catanzaro, Italy
| | - Aldo Quattrone
- Department of Medical and Surgical Sciences, Neuroscience Research Center, University "Magna Graecia", Viale Europa, Germaneto, 88100, Catanzaro, Italy.
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Ellis EG, Joutsa J, Morrison-Ham J, Younger EFP, Saward JB, Caeyenberghs K, Corp DT. Large-scale activation likelihood estimation meta-analysis of parkinsonian disorders. Brain Commun 2023; 5:fcad172. [PMID: 37324240 PMCID: PMC10265724 DOI: 10.1093/braincomms/fcad172] [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: 01/20/2023] [Revised: 03/31/2023] [Accepted: 05/29/2023] [Indexed: 06/17/2023] Open
Abstract
Parkinsonism is a feature of several neurodegenerative disorders, including Parkinson's disease, progressive supranuclear palsy, corticobasal syndrome and multiple system atrophy. Neuroimaging studies have yielded insights into parkinsonian disorders; however, due to variability in results, the brain regions consistently implicated in these disorders remain to be characterized. The aim of this meta-analysis was to identify consistent brain abnormalities in individual parkinsonian disorders (Parkinson's disease, progressive supranuclear palsy, corticobasal syndrome and multiple system atrophy) and to investigate any shared abnormalities across disorders. A total of 44 591 studies were systematically screened following searches of two databases. A series of whole-brain activation likelihood estimation meta-analyses were performed on 132 neuroimaging studies (69 Parkinson's disease; 23 progressive supranuclear palsy; 17 corticobasal syndrome; and 23 multiple system atrophy) utilizing anatomical MRI, perfusion or metabolism PET and single-photon emission computed tomography. Meta-analyses were performed in each parkinsonian disorder within each imaging modality, as well as across all included disorders. Results in progressive supranuclear palsy and multiple system atrophy aligned with current imaging markers for diagnosis, encompassing the midbrain, and brainstem and putamen, respectively. PET imaging studies of patients with Parkinson's disease most consistently reported abnormality of the middle temporal gyrus. No significant clusters were identified in corticobasal syndrome. When examining abnormalities shared across all four disorders, the caudate was consistently reported in MRI studies, whilst the thalamus, inferior frontal gyrus and middle temporal gyri were commonly implicated by PET. To our knowledge, this is the largest meta-analysis of neuroimaging studies in parkinsonian disorders and the first to characterize brain regions implicated across parkinsonian disorders.
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Affiliation(s)
- Elizabeth G Ellis
- Correspondence to: Elizabeth G. Ellis Cognitive Neuroscience Unit, School of Psychology Deakin University, 221 Burwood Highway Burwood, VIC 3125, Australia E-mail:
| | - Juho Joutsa
- Center for Brain Circuit Therapeutics, Department of Neurology, Psychiatry, and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Turku Brain and Mind Center, Clinical Neurosciences, University of Turku, Turku 20520, Finland
- Turku PET Centre, Neurocenter, Turku University Hospital, Turku 20520, Finland
| | - Jordan Morrison-Ham
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC 3220, Australia
| | - Ellen F P Younger
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC 3220, Australia
| | - Jacqueline B Saward
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC 3220, Australia
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC 3220, Australia
| | - Daniel T Corp
- Correspondence may also be addressed to: Daniel T. Corp Cognitive Neuroscience Unit, School of Psychology Deakin University, 221 Burwood Highway Burwood, VIC 3125, Australia E-mail:
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5
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Isella V, Licciardo D, Ferri F, Crivellaro C, Morzenti S, Appollonio I, Ferrarese C. Reduced phonemic fluency in progressive supranuclear palsy is due to dysfunction of dominant BA6. Front Aging Neurosci 2022; 14:969875. [PMID: 36158541 PMCID: PMC9492952 DOI: 10.3389/fnagi.2022.969875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/24/2022] [Indexed: 11/13/2022] Open
Abstract
Background Reduced phonemic fluency is extremely frequent in progressive supranuclear palsy (PSP), but its neural correlate is yet to be defined. Objective We explored the hypothesis that poor fluency in PSP might be due to neurodegeneration within a dominant frontal circuit known to be involved in speech fluency, including the opercular area, the superior frontal cortex (BA6), and the frontal aslant tract connecting these two regions. Methods We correlated performance on a letter fluency task (F, A, and S, 60 s for each letter) with brain metabolism as measured with Fluoro-deoxy-glucose Positron Emission Tomography, using Statistical Parametric Mapping, in 31 patients with PSP. Results Reduced letter fluency was associated with significant hypometabolism at the level of left BA6. Conclusion Our finding is the first evidence that in PSP, as in other neurogical disorders, poor self-initiated, effortful verbal retrieval appears to be linked to dysfunction of the dominant opercular-aslant-BA6 circuit.
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Affiliation(s)
- Valeria Isella
- Department of Neurology, School of Medicine, University of Milano - Bicocca, Monza, Italy
- Milan Center for Neurosciences, Milan, Italy
| | - Daniele Licciardo
- Milan Center for Neurosciences, Milan, Italy
- Neurology Unit, San Gerardo Hospital, Monza, Italy
| | - Francesca Ferri
- Milan Center for Neurosciences, Milan, Italy
- Neurology Unit, San Gerardo Hospital, Monza, Italy
| | | | | | - Ildebrando Appollonio
- Department of Neurology, School of Medicine, University of Milano - Bicocca, Monza, Italy
- Milan Center for Neurosciences, Milan, Italy
- Neurology Unit, San Gerardo Hospital, Monza, Italy
| | - Carlo Ferrarese
- Department of Neurology, School of Medicine, University of Milano - Bicocca, Monza, Italy
- Milan Center for Neurosciences, Milan, Italy
- Neurology Unit, San Gerardo Hospital, Monza, Italy
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6
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Stamelou M, Respondek G, Giagkou N, Whitwell JL, Kovacs GG, Höglinger GU. Evolving concepts in progressive supranuclear palsy and other 4-repeat tauopathies. Nat Rev Neurol 2021; 17:601-620. [PMID: 34426686 DOI: 10.1038/s41582-021-00541-5] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2021] [Indexed: 02/07/2023]
Abstract
Tauopathies are classified according to whether tau deposits predominantly contain tau isoforms with three or four repeats of the microtubule-binding domain. Those in which four-repeat (4R) tau predominates are known as 4R-tauopathies, and include progressive supranuclear palsy, corticobasal degeneration, argyrophilic grain disease, globular glial tauopathies and conditions associated with specific MAPT mutations. In these diseases, 4R-tau deposits are found in various cell types and anatomical regions of the brain and the conditions share pathological, pathophysiological and clinical characteristics. Despite being considered 'prototype' tauopathies and, therefore, ideal for studying neuroprotective agents, 4R-tauopathies are still severe and untreatable diseases for which no validated biomarkers exist. However, advances in research have addressed the issues of phenotypic overlap, early clinical diagnosis, pathophysiology and identification of biomarkers, setting a road map towards development of treatments. New clinical criteria have been developed and large cohorts with early disease are being followed up in prospective studies. New clinical trial readouts are emerging and biomarker research is focused on molecular pathways that have been identified. Lessons learned from failed trials of neuroprotective drugs are being used to design new trials. In this Review, we present an overview of the latest research in 4R-tauopathies, with a focus on progressive supranuclear palsy, and discuss how current evidence dictates ongoing and future research goals.
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Affiliation(s)
- Maria Stamelou
- Parkinson's Disease and Movement Disorders Dept, HYGEIA Hospital, Athens, Greece. .,European University of Cyprus, Nicosia, Cyprus. .,Philipps University, Marburg, Germany.
| | - Gesine Respondek
- Department of Neurology, Hanover Medical School, Hanover, Germany
| | - Nikolaos Giagkou
- Parkinson's Disease and Movement Disorders Dept, HYGEIA Hospital, Athens, Greece
| | | | - Gabor G Kovacs
- Department of Laboratory Medicine and Pathobiology and Tanz Centre for Research in Neurodegenerative Disease (CRND), University of Toronto, Toronto, Ontario, Canada.,Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Günter U Höglinger
- Department of Neurology, Hanover Medical School, Hanover, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
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Update on neuroimaging for categorization of Parkinson's disease and atypical parkinsonism. Curr Opin Neurol 2021; 34:514-524. [PMID: 34010220 DOI: 10.1097/wco.0000000000000957] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE OF REVIEW Differential diagnosis of Parkinsonism may be difficult. The objective of this review is to present the work of the last three years in the field of imaging for diagnostic categorization of parkinsonian syndromes focusing on progressive supranuclear palsy (PSP) and multiple system atrophy (MSA). RECENT FINDINGS Two main complementary approaches are being pursued. The first seeks to develop and validate manual qualitative or semi-quantitative imaging markers that can be easily used in clinical practice. The second is based on quantitative measurements of magnetic resonance imaging abnormalities integrated in a multimodal approach and in automatic categorization machine learning tools. SUMMARY These two complementary approaches obtained high diagnostic around 90% and above in the classical Richardson form of PSP and probable MSA. Future work will determine if these techniques can improve diagnosis in other PSP variants and early forms of the diseases when all clinical criteria are not fully met.
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8
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Whitwell JL, Tosakulwong N, Clark HM, Ali F, Botha H, Weigand SD, Sintini I, Machulda MM, Schwarz CG, Reid RI, Jack CR, Ahlskog JE, Josephs KA. Diffusion tensor imaging analysis in three progressive supranuclear palsy variants. J Neurol 2021; 268:3409-3420. [PMID: 33710456 DOI: 10.1007/s00415-020-10360-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/03/2020] [Accepted: 12/05/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Clinical variants of progressive supranuclear palsy (PSP) include the classic Richardson's syndrome (PSP-RS), as well as cortical presentations such as PSP-speech/language (PSP-SL) and subcortical presentations such as PSP-parkinsonism (PSP-P). Patterns of white matter tract degeneration underlying these variants, and the degree to which white matter patterns could differentiate these variants, is unclear. METHODS Forty-nine PSP patients (28 PSP-RS, 12 PSP-P, and 9 PSP-SL) were recruited by the Neurodegenerative Research Group and underwent diffusion tensor imaging. Regional diffusion tensor imaging metrics were compared across PSP variants using Bayesian linear mixed-effects models, with inter-variant differentiation assessed using the area under the receiver operator characteristic curve (AUROC). RESULTS All three variants showed degeneration of the body of the corpus callosum, posterior thalamic radiation, superior cerebellar peduncle, internal and external capsule, and superior fronto-occipital fasciculus. PSP-RS showed greater degeneration of superior cerebellar peduncle compared to PSP-P and PSP-SL, whereas PSP-SL showed greater degeneration of body and genu of the corpus callosum, internal capsule, external capsule, and superior longitudinal fasciculus compared to the other variants. Fractional anisotropy in body of the corpus callosum provided excellent differentiation of PSP-SL from both PSP-P and PSP-RS (AUROC = 0.91 and 0.92, respectively). Moderate differentiation of PSP-RS and PSP-P was achieved with fractional anisotropy in superior fronto-occipital fasciculus (AUROC = 0.68) and mean diffusivity in the superior cerebellar peduncle (AUROC = 0.65). CONCLUSION In this pilot study, patterns of white matter tract degeneration differed across PSP-RS, PSP-SL, and PSP-P, with the body of the corpus callosum showing some utility in the differentiation of PSP-SL from the other two variants.
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Affiliation(s)
| | - Nirubol Tosakulwong
- Department of Health Sciences Research (Biostatistics), Mayo Clinic, Rochester, MN, USA
| | | | - Farwa Ali
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Stephen D Weigand
- Department of Health Sciences Research (Biostatistics), Mayo Clinic, Rochester, MN, USA
| | - Irene Sintini
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Robert I Reid
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - J Eric Ahlskog
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
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9
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Peterson KA, Patterson K, Rowe JB. Language impairment in progressive supranuclear palsy and corticobasal syndrome. J Neurol 2021; 268:796-809. [PMID: 31321513 PMCID: PMC7914167 DOI: 10.1007/s00415-019-09463-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 07/06/2019] [Accepted: 07/09/2019] [Indexed: 12/11/2022]
Abstract
Although commonly known as movement disorders, progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS) may present with changes in speech and language alongside or even before motor symptoms. The differential diagnosis of these two disorders can be challenging, especially in the early stages. Here we review their impact on speech and language. We discuss the neurobiological and clinical-phenomenological overlap of PSP and CBS with each other, and with other disorders including non-fluent agrammatic primary progressive aphasia and primary progressive apraxia of speech. Because language impairment is often an early and persistent problem in CBS and PSP, there is a need for improved methods for language screening in primary and secondary care, and more detailed language assessments in tertiary healthcare settings. Improved language assessment may aid differential diagnosis as well as inform clinical management decisions.
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Affiliation(s)
- Katie A Peterson
- Department of Clinical Neurosciences and MRC Cognition and Brain Sciences Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Forvie Site, Robinson Way, Cambridge, CB2 0SZ, UK.
| | - Karalyn Patterson
- Department of Clinical Neurosciences and MRC Cognition and Brain Sciences Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Forvie Site, Robinson Way, Cambridge, CB2 0SZ, UK
| | - James B Rowe
- Department of Clinical Neurosciences and MRC Cognition and Brain Sciences Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Forvie Site, Robinson Way, Cambridge, CB2 0SZ, UK
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10
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Chougar L, Pyatigorskaya N, Degos B, Grabli D, Lehéricy S. The Role of Magnetic Resonance Imaging for the Diagnosis of Atypical Parkinsonism. Front Neurol 2020; 11:665. [PMID: 32765399 PMCID: PMC7380089 DOI: 10.3389/fneur.2020.00665] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 06/03/2020] [Indexed: 12/14/2022] Open
Abstract
The diagnosis of Parkinson's disease and atypical Parkinsonism remains clinically difficult, especially at the early stage of the disease, since there is a significant overlap of symptoms. Multimodal MRI has significantly improved diagnostic accuracy and understanding of the pathophysiology of Parkinsonian disorders. Structural and quantitative MRI sequences provide biomarkers sensitive to different tissue properties that detect abnormalities specific to each disease and contribute to the diagnosis. Machine learning techniques using these MRI biomarkers can effectively differentiate atypical Parkinsonian syndromes. Such approaches could be implemented in a clinical environment and improve the management of Parkinsonian patients. This review presents different structural and quantitative MRI techniques, their contribution to the differential diagnosis of atypical Parkinsonian disorders and their interest for individual-level diagnosis.
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Affiliation(s)
- Lydia Chougar
- Institut du Cerveau et de la Moelle épinière-ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, UPMC Univ Paris 06, UMRS 1127, CNRS UMR 7225, Paris, France.,ICM, "Movement Investigations and Therapeutics" Team (MOV'IT), Paris, France.,ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,Service de Neuroradiologie, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Nadya Pyatigorskaya
- Institut du Cerveau et de la Moelle épinière-ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, UPMC Univ Paris 06, UMRS 1127, CNRS UMR 7225, Paris, France.,ICM, "Movement Investigations and Therapeutics" Team (MOV'IT), Paris, France.,ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,Service de Neuroradiologie, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Bertrand Degos
- Dynamics and Pathophysiology of Neuronal Networks Team, Center for Interdisciplinary Research in Biology, Collège de France, CNRS UMR7241/INSERM U1050, MemoLife Labex, Paris, France.,Department of Neurology, Avicenne University Hospital, Sorbonne Paris Nord University, Bobigny, France
| | - David Grabli
- Département des Maladies du Système Nerveux, Hôpital Pitié-Salpêtrière, APHP, Paris, France
| | - Stéphane Lehéricy
- Institut du Cerveau et de la Moelle épinière-ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, UPMC Univ Paris 06, UMRS 1127, CNRS UMR 7225, Paris, France.,ICM, "Movement Investigations and Therapeutics" Team (MOV'IT), Paris, France.,ICM, Centre de NeuroImagerie de Recherche-CENIR, Paris, France.,Service de Neuroradiologie, Hôpital Pitié-Salpêtrière, APHP, Paris, France
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Arribarat G, Péran P. Quantitative MRI markers in Parkinson's disease and parkinsonian syndromes. Curr Opin Neurol 2020; 33:222-229. [DOI: 10.1097/wco.0000000000000796] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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12
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Whitwell JL, Tosakulwong N, Botha H, Ali F, Clark HM, Duffy JR, Utianski RL, Stevens CA, Weigand SD, Schwarz CG, Senjem ML, Jack CR, Lowe VJ, Ahlskog JE, Dickson DW, Josephs KA. Brain volume and flortaucipir analysis of progressive supranuclear palsy clinical variants. NEUROIMAGE-CLINICAL 2019; 25:102152. [PMID: 31935638 PMCID: PMC6961761 DOI: 10.1016/j.nicl.2019.102152] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 11/25/2019] [Accepted: 12/26/2019] [Indexed: 12/12/2022]
Abstract
All PSP variants showed atrophy or flortaucipir uptake in subcortical structures. Speech/language, frontal and corticobasal variants showed cortical involvement. Dentatorubrothalamic tract involvement was only seen in some variants. PSP variants show different patterns of damage to subcortical-cortical circuitry.
Background and purpose Progressive supranuclear palsy (PSP) is a neurodegenerative tauopathy that is associated with different clinical variants, including PSP-Richardson's syndrome (PSP-RS), PSP-parkinsonism (PSP-P), PSP-corticobasal syndrome (PSP-CBS), PSP-frontal (PSP-F), PSP-progressive gait freezing (PSP-PGF) and PSP-speech/language (PSP-SL). While PSP-RS has been well-characterized on neuroimaging, the characteristics of the other atypical variants are less well defined and it is unknown how they compare to each other or relate to neuropathology. We aimed to assess and compare regional atrophy on MRI and [18F]flortaucipir uptake on PET across PSP variants. Materials and methods 105 PSP patients (53 PSP-RS, 23 PSP-SL, 12 PSP-P, 8 PSP-CBS, 5 PSP-F and 4 PSP-PGF) underwent volumetric MRI, with 59 of these also undergoing flortaucipir PET. Voxel-level and region-level analyses were performed comparing PSP variants to 30 controls and to each other. Semi-quantitative tau burden measurements were also performed in 21 patients with autopsy-confirmed PSP. Results All variants showed evidence for atrophy or increased flortaucipir uptake in striatum, globus pallidus and thalamus. Superior cerebellar peduncle volume loss was only observed in PSP-RS, PSP-CBS and PSP-F. Volume loss in the frontal lobes was observed in PSP-SL, PSP-CBS and PSP-F, with these variants also showing highest cortical tau burden at autopsy. The PSP-P and PSP-PGF variants showed more restricted patterns of neurodegeneration predominantly involving striatum, globus pallidus, subthalamic nucleus and thalamus. The PSP-SL variant showed greater volume loss and flortaucipir uptake in supplementary motor area and motor cortex compared to all other variants, but showed less involvement of subthalamic nucleus and midbrain. Compared to PSP-RS, PSP-P had larger midbrain volume and greater flortaucipir uptake in putamen. Conclusion The PSP variants have different patterns of involvement of subcortical circuitry, perhaps suggesting different patterns of disease spread through the brain. These findings will be important in the development of appropriate neuroimaging biomarkers for the different PSP variants.
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Affiliation(s)
| | - Nirubol Tosakulwong
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Farwa Ali
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Heather M Clark
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Joseph R Duffy
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Rene L Utianski
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Chase A Stevens
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Stephen D Weigand
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States
| | | | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, Rochester, MN, United States; Department of Information Technology, Mayo Clinic, Rochester, MN, United States
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - J Eric Ahlskog
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
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13
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Track density imaging: A reliable method to assess white matter changes in Progressive Supranuclear Palsy with predominant parkinsonism. Parkinsonism Relat Disord 2019; 69:23-29. [DOI: 10.1016/j.parkreldis.2019.10.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 08/28/2019] [Accepted: 10/20/2019] [Indexed: 12/31/2022]
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14
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Spotorno N, Hall S, Irwin DJ, Rumetshofer T, Acosta-Cabronero J, Deik AF, Spindler MA, Lee EB, Trojanowski JQ, van Westen D, Nilsson M, Grossman M, Nestor PJ, McMillan CT, Hansson O. Diffusion Tensor MRI to Distinguish Progressive Supranuclear Palsy from α-Synucleinopathies. Radiology 2019; 293:646-653. [PMID: 31617796 PMCID: PMC6889922 DOI: 10.1148/radiol.2019190406] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2019] [Revised: 07/21/2019] [Accepted: 08/21/2019] [Indexed: 01/25/2023]
Abstract
Background The differential diagnosis of progressive supranuclear palsy (PSP) and Lewy body disorders, which include Parkinson disease and dementia with Lewy bodies, is often challenging due to the overlapping symptoms. Purpose To develop a diagnostic tool based on diffusion tensor imaging (DTI) to distinguish between PSP and Lewy body disorders at the individual-subject level. Materials and Methods In this retrospective study, skeletonized DTI metrics were extracted from two independent data sets: the discovery cohort from the Swedish BioFINDER study and the validation cohort from the Penn Frontotemporal Degeneration Center (data collected between 2010 and 2018). Based on previous neuroimaging studies and neuropathologic evidence, a combination of regions hypothesized to be sensitive to pathologic features of PSP were identified (ie, the superior cerebellar peduncle and frontal white matter) and fractional anisotropy (FA) was used to compute an FA score for each individual. Classification performances were assessed by using logistic regression and receiver operating characteristic analysis. Results In the discovery cohort, 16 patients with PSP (mean age ± standard deviation, 73 years ± 5; eight women, eight men), 34 patients with Lewy body disorders (mean age, 71 years ± 6; 14 women, 20 men), and 44 healthy control participants (mean age, 66 years ± 8; 26 women, 18 men) were evaluated. The FA score distinguished between clinical PSP and Lewy body disorders with an area under the curve of 0.97 ± 0.04, a specificity of 91% (31 of 34), and a sensitivity of 94% (15 of 16). In the validation cohort, 34 patients with PSP (69 years ± 7; 22 women, 12 men), 25 patients with Lewy body disorders (70 years ± 7; nine women, 16 men), and 32 healthy control participants (64 years ± 7; 22 women, 10 men) were evaluated. The accuracy of the FA score was confirmed (area under the curve, 0.96 ± 0.04; specificity, 96% [24 of 25]; and sensitivity, 85% [29 of 34]). Conclusion These cross-validated findings lay the foundation for a clinical test to distinguish progressive supranuclear palsy from Lewy body disorders. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Shah in this issue.
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Affiliation(s)
- Nicola Spotorno
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Sara Hall
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - David J. Irwin
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Theodor Rumetshofer
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Julio Acosta-Cabronero
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Andres F. Deik
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Meredith A. Spindler
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Edward B. Lee
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - John Q. Trojanowski
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Danielle van Westen
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Markus Nilsson
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Murray Grossman
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Peter J. Nestor
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Corey T. McMillan
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
| | - Oskar Hansson
- From the Clinical Memory Research Unit, Department of Clinical
Sciences, Malmö, Lund University, Sölvegatan 19, 22100 Lund, Sweden
(N.S., S.H., D.v.W., O.H.); Penn Frontotemporal Degeneration Center, Department
of Neurology, Perelman School of Medicine, University of Pennsylvania,
Philadelphia, Pa (N.S., D.J.I., M.G., C.T.M.); Memory Clinic, Skåne
University Hospital, Malmö, Sweden (S.H., O.H.); Center for
Neurodegenerative Disease Research, Perelman School of Medicine, University of
Pennsylvania, Philadelphia, Pa (D.J.I., E.B.L., J.Q.T.); Department of
Diagnostic Radiology, Lund University, Lund, Sweden (T.R., D.v.W., M.N.);
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology,
University College London, London, England (J.A.C.); Parkinson’s Disease
and Movement Disorders Center, Department of Neurology, Perelman School of
Medicine, University of Pennsylvania, Philadelphia, Pa (A.F.D., M.A.S.);
Alzheimer’s Disease Core Center, Department of Pathology and Laboratory
Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia,
Pa (E.B.L., J.Q.T.); and Queensland Brain Institute, University of Queensland
and Mater Misericordiae, Brisbane, Queensland, Australia (P.J.N.)
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15
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Seki M, Seppi K, Mueller C, Potrusil T, Goebel G, Reiter E, Nocker M, Kremser C, Wildauer M, Schocke M, Gizewski ER, Wenning GK, Poewe W, Scherfler C. Diagnostic Potential of Multimodal MRI Markers in Atypical Parkinsonian Disorders. JOURNAL OF PARKINSONS DISEASE 2019; 9:681-691. [DOI: 10.3233/jpd-181568] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Affiliation(s)
- Morinobu Seki
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Neuroimaging Research Core Facility, Medical University of Innsbruck, Innsbruck, Austria
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Neuroimaging Research Core Facility, Medical University of Innsbruck, Innsbruck, Austria
| | - Christoph Mueller
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Thomas Potrusil
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Neuroimaging Research Core Facility, Medical University of Innsbruck, Innsbruck, Austria
| | - Georg Goebel
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Eva Reiter
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michael Nocker
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Christian Kremser
- Neuroimaging Research Core Facility, Medical University of Innsbruck, Innsbruck, Austria
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Matthias Wildauer
- Neuroimaging Research Core Facility, Medical University of Innsbruck, Innsbruck, Austria
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michael Schocke
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Elke R. Gizewski
- Neuroimaging Research Core Facility, Medical University of Innsbruck, Innsbruck, Austria
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Gregor K. Wenning
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Werner Poewe
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Christoph Scherfler
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Neuroimaging Research Core Facility, Medical University of Innsbruck, Innsbruck, Austria
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16
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Kataoka H, Nishimori Y, Kiriyama T, Nanaura H, Izumi T, Eura N, Iwasa N, Sugie K. Increased Signal in the Superior Cerebellar Peduncle of Patients with Progressive Supranuclear Palsy. J Mov Disord 2019; 12:166-171. [PMID: 31390857 PMCID: PMC6763720 DOI: 10.14802/jmd.19002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 04/23/2019] [Indexed: 11/24/2022] Open
Abstract
Objective The provisional diagnosis of progressive supranuclear palsy (PSP) depends on a combination of typical clinical features and specific MRI findings, such as atrophy of the tegmentum in the midbrain. Atrophy of the superior cerebellar peduncle (SCP) distinguishes PSP from other types of parkinsonism. Histological factors affect the conventional fluid-attenuated inversion recovery (FLAIR) signals, such as the extent of neuronal loss and gliosis. Methods We investigated patients with PSP to verify the percentage of patients with various PSP phenotypes presenting a high signal intensity in the SCP. Three interviewers, who were not informed about the clinical data, visually inspected the presence or absence of a high signal intensity in the SCP on the FLAIR images. We measured the pixel value in the SCP of each patient. Clinical characteristics were evaluated using the Mann-Whitney test, followed by the χ2 test. Results Ten of the 51 patients with PSP showed a high signal intensity in the SCP on FLAIR MRI. Higher pixel values were observed within the SCP of patients with a high signal intensity in the SCP than in patients without a high signal intensity (p < 0.001). The sensitivity and specificity of the high signal intensity in the SCP of patients with PSP was 19.6% and 100%, respectively. This finding was more frequently observed in patients with PSP with Richardson’s syndrome (PSP-RS) (25.7%) than other phenotypes (6.2%). Conclusion The high signal intensity in the SCP on FLAIR MRI might be an effective diagnostic tool for PSP-RS.
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Affiliation(s)
- Hiroshi Kataoka
- Department of Neurology, Nara Medical University, Kashihara, Nara, Japan
| | - Yukako Nishimori
- Department of Neurology, Nara Medical University, Kashihara, Nara, Japan
| | - Takao Kiriyama
- Department of Neurology, Nara Medical University, Kashihara, Nara, Japan
| | - Hitoki Nanaura
- Department of Neurology, Nara Medical University, Kashihara, Nara, Japan
| | - Tesseki Izumi
- Department of Neurology, Nara Medical University, Kashihara, Nara, Japan
| | - Nobuyuki Eura
- Department of Neurology, Nara Medical University, Kashihara, Nara, Japan
| | - Naoki Iwasa
- Department of Neurology, Nara Medical University, Kashihara, Nara, Japan
| | - Kazuma Sugie
- Department of Neurology, Nara Medical University, Kashihara, Nara, Japan
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17
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Agosta F, Sarasso E, Filippi M. Functional MRI in Atypical Parkinsonisms. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2018; 142:149-173. [PMID: 30409252 DOI: 10.1016/bs.irn.2018.09.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The present chapter reports the current knowledge on the use of functional MRI (fMRI) in patients with atypical parkinsonisms, including Multiple System Atrophy, Corticobasal Syndrome and Progressive Supranuclear Palsy syndrome. Both resting state functional connectivity and task-based brain activity abnormalities are reported in atypical parkinsonisms relative to healthy controls and Parkinson's disease patients. Functional alterations were observed earlier than structural damage and may help to make early diagnosis. The chapter also examines the few longitudinal evidence on fMRI changes in patients with these conditions. The potential use of fMRI techniques in aiding the differential diagnosis, accurately measuring disease progression and assessing the effectiveness of therapeutic interventions is discussed.
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Affiliation(s)
- Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
| | - Elisabetta Sarasso
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Laboratory of Movement Analysis, San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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18
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Abstract
Qualitative and quantitative structural magnetic resonance imaging offer objective measures of the underlying neurodegeneration in atypical parkinsonism. Regional changes in tissue volume, signal changes and increased deposition of iron as assessed with different structural MRI techniques are surrogate markers of underlying neurodegeneration and may reflect cell loss, microglial proliferation and astroglial activation. Structural MRI has been explored as a tool to enhance diagnostic accuracy in differentiating atypical parkinsonian disorders (APDs). Moreover, the longitudinal assessment of serial structural MRI-derived parameters offers the opportunity for robust inferences regarding the progression of APDs. This review summarizes recent research findings as (1) a diagnostic tool for APDs as well as (2) as a tool to assess longitudinal changes of serial MRI-derived parameters in the different APDs.
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19
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Lee YEC, Williams DR, Anderson JFI. Prospective Characterization of Cognitive Function in Typical and 'Brainstem Predominant'Progressive Supranuclear Palsy Phenotypes. J Mov Disord 2018; 11:72-77. [PMID: 29860785 PMCID: PMC5990903 DOI: 10.14802/jmd.17067] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 12/12/2017] [Accepted: 03/28/2018] [Indexed: 11/24/2022] Open
Abstract
Objective
Clinicopathological studies over the last decade have broadened the clinical spectrum of progressive supranuclear palsy (PSP) to include several distinct clinical syndromes. We examined the cognitive profiles of patients with PSP-Richardson’s syndrome (PSP-RS) and two atypical ‘brainstem predominant’ PSP phenotypes (PSP-parkinsonism, PSP-P; and PSP-pure akinesia with gait freezing, PSP-PAGF) using a comprehensive neuropsychological battery. Methods
Fourteen patients diagnosed as PSP-RS, three patients with PSP-P and four patients with PSP-PAGF were assessed using a comprehensive battery of neuropsychological tests. Results
The typical PSP-RS subgroup demonstrated greater impairments in processing speed [t(19) = -4.10, p = 0.001 (d =1.66)] and executive function [t(19) = -2.63, p = 0.02 (d = 1.20)] compared to the ‘brainstem predominant’ PSP phenotype. Conclusion
This is the first prospective study to demonstrate that PSP-RS and ‘brainstem predominant’ PSP phenotypes can be differentiated on cognitive grounds. These differences correspond with variations in pathological profiles reported in the literature.
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Affiliation(s)
- Young-Eun C Lee
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
| | - David R Williams
- Department of Neurology, The Alfred Hospital, Melbourne, Australia.,Van Cleef Roet Centre for Nervous Diseases, Monash University, Melbourne, Australia
| | - Jacqueline F I Anderson
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.,Department of Psychology, The Alfred Hospital, Melbourne, Australia
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20
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Ge J, Wu J, Peng S, Wu P, Wang J, Zhang H, Guan Y, Eidelberg D, Zuo C, Ma Y. Reproducible network and regional topographies of abnormal glucose metabolism associated with progressive supranuclear palsy: Multivariate and univariate analyses in American and Chinese patient cohorts. Hum Brain Mapp 2018. [PMID: 29536636 DOI: 10.1002/hbm.24044] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Progressive supranuclear palsy (PSP) is a rare movement disorder and often difficult to distinguish clinically from Parkinson's disease (PD) and multiple system atrophy (MSA) in early phases. In this study, we report reproducible disease-related topographies of brain network and regional glucose metabolism associated with PSP in clinically-confirmed independent cohorts of PSP, MSA, and PD patients and healthy controls in the USA and China. Using 18 F-FDG PET images from PSP and healthy subjects, we applied spatial covariance analysis with bootstrapping to identify a PSP-related pattern (PSPRP) and estimate its reliability, and evaluated the ability of network scores for differential diagnosis. We also detected regional metabolic differences using statistical parametric mapping analysis. We produced a highly reliable PSPRP characterized by relative metabolic decreases in the middle prefrontal cortex/cingulate, ventrolateral prefrontal cortex, striatum, thalamus and midbrain, covarying with relative metabolic increases in the hippocampus, insula and parieto-temporal regions. PSPRP network scores correlated positively with PSP duration and accurately discriminated between healthy, PSP, MSA and PD groups in two separate cohorts of parkinsonian patients at both early and advanced stages. Moreover, PSP patients shared many overlapping areas with abnormal metabolism in the same cortical and subcortical regions as in the PSPRP. With rigorous cross-validation, this study demonstrated highly comparable and reproducible PSP-related metabolic topographies at network and regional levels across different patient populations and PET scanners. Metabolic brain network activity may serve as a reliable and objective marker of PSP, although cross-validation applying recent diagnostic criteria and classification is warranted.
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Affiliation(s)
- Jingjie Ge
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Xuhui District, Shanghai, 200235, China
| | - Jianjun Wu
- Department of Neurology, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Shanghai, 200040, China
| | - Shichun Peng
- Center for Neurosciences, The Feinstein Institute for Medical Research, Northwell Health, 350 Community Drive, Manhasset, New York, 11030
| | - Ping Wu
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Xuhui District, Shanghai, 200235, China
| | - Jian Wang
- Department of Neurology, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Shanghai, 200040, China
| | - Huiwei Zhang
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Xuhui District, Shanghai, 200235, China
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Xuhui District, Shanghai, 200235, China
| | - David Eidelberg
- Center for Neurosciences, The Feinstein Institute for Medical Research, Northwell Health, 350 Community Drive, Manhasset, New York, 11030
| | - Chuantao Zuo
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Xuhui District, Shanghai, 200235, China
| | - Yilong Ma
- Center for Neurosciences, The Feinstein Institute for Medical Research, Northwell Health, 350 Community Drive, Manhasset, New York, 11030
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21
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Seki M, Seppi K, Mueller C, Potrusil T, Goebel G, Reiter E, Nocker M, Steiger R, Wildauer M, Gizewski ER, Wenning GK, Poewe W, Scherfler C. Diagnostic potential of dentatorubrothalamic tract analysis in progressive supranuclear palsy. Parkinsonism Relat Disord 2018; 49:81-87. [PMID: 29463454 DOI: 10.1016/j.parkreldis.2018.02.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 01/04/2018] [Accepted: 02/02/2018] [Indexed: 11/17/2022]
Abstract
BACKGROUND The differentiation of progressive supranuclear palsy-parkinsonism (PSP-P) from Parkinson's disease (PD) remains a major clinical challenge. OBJECTIVES To evaluate the diagnostic potential of observer-independent assessments of microstructural integrity within infratentorial brain regions to differentiate PSP-Richardson's syndrome (PSP-RS), PSP-P and PD. METHODS 3T MRI parameters of mean diffusivity, fractional anisotropy, grey and white matter volumes from patients with PSP-RS (n = 12), PSP-P (n = 12) and mean disease duration of 2.4 ± 1.7 years were compared with PD patients (n = 20) and healthy controls (n = 23) by using statistical parametric mapping and the spatially unbiased infratentorial template. Subsequently MRI measurements of the dentatorubrothalamic tract were determined observer-independently by a validated probabilistic infratentorial atlas. The impairment of gait and postural stability was evaluated by a sum-score derived from the Unified Parkinson Disease Rating Scale. RESULTS Significant mean diffusivity increases, fractional anisotropy decreases and corresponding volume loss were localized in mesencephalic tegmentum, superior cerebellar peduncle, decussation of superior cerebellar peduncle and dentate nucleus in PSP-RS and PSP-P compared to PD and healthy controls. Altered microstructural integrity of the dentatorubrothalamic tract in PSP-RS was significantly more pronounced compared to PSP-P and correlated significantly with the gait and postural stability sum-score. Linear discriminant analysis identified diffusion tensor imaging measures of the dentatorubrothalamic tract and the gait and postural stability sum-score to classify correctly 95.5% of PRP-RS, PSP-P and PD patients. CONCLUSIONS Observer-independent analysis of microstructural integrity within the dentatorubrothalamic tract in combination with assessments of gait and postural stability differentiate PSP-P from PSP-RS and PD in early to moderately advanced stages.
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Affiliation(s)
- Morinobu Seki
- Department of Neurology, Medical University of Innsbruck, Austria; Neuroimaging Research Core Facility, Medical University of Innsbruck, Austria.
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Austria; Neuroimaging Research Core Facility, Medical University of Innsbruck, Austria
| | | | - Thomas Potrusil
- Department of Neurology, Medical University of Innsbruck, Austria; Neuroimaging Research Core Facility, Medical University of Innsbruck, Austria
| | - Georg Goebel
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Austria
| | - Eva Reiter
- Department of Neurology, Medical University of Innsbruck, Austria
| | - Michael Nocker
- Department of Neurology, Medical University of Innsbruck, Austria
| | - Ruth Steiger
- Neuroimaging Research Core Facility, Medical University of Innsbruck, Austria; Department of Neuroradiology, Medical University of Innsbruck, Austria
| | - Matthias Wildauer
- Neuroimaging Research Core Facility, Medical University of Innsbruck, Austria; Department of Neuroradiology, Medical University of Innsbruck, Austria
| | - Elke R Gizewski
- Neuroimaging Research Core Facility, Medical University of Innsbruck, Austria; Department of Neuroradiology, Medical University of Innsbruck, Austria
| | - Gregor K Wenning
- Department of Neurology, Medical University of Innsbruck, Austria
| | - Werner Poewe
- Department of Neurology, Medical University of Innsbruck, Austria
| | - Christoph Scherfler
- Department of Neurology, Medical University of Innsbruck, Austria; Neuroimaging Research Core Facility, Medical University of Innsbruck, Austria
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22
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Huppertz HJ, Möller L, Südmeyer M, Hilker R, Hattingen E, Egger K, Amtage F, Respondek G, Stamelou M, Schnitzler A, Pinkhardt EH, Oertel WH, Knake S, Kassubek J, Höglinger GU. Differentiation of neurodegenerative parkinsonian syndromes by volumetric magnetic resonance imaging analysis and support vector machine classification. Mov Disord 2017; 31:1506-1517. [PMID: 27452874 DOI: 10.1002/mds.26715] [Citation(s) in RCA: 102] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Revised: 05/06/2016] [Accepted: 06/03/2016] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Clinical differentiation of parkinsonian syndromes is still challenging. OBJECTIVES A fully automated method for quantitative MRI analysis using atlas-based volumetry combined with support vector machine classification was evaluated for differentiation of parkinsonian syndromes in a multicenter study. METHODS Atlas-based volumetry was performed on MRI data of healthy controls (n = 73) and patients with PD (204), PSP with Richardson's syndrome phenotype (106), MSA of the cerebellar type (21), and MSA of the Parkinsonian type (60), acquired on different scanners. Volumetric results were used as input for support vector machine classification of single subjects with leave-one-out cross-validation. RESULTS The largest atrophy compared to controls was found for PSP with Richardson's syndrome phenotype patients in midbrain (-15%), midsagittal midbrain tegmentum plane (-20%), and superior cerebellar peduncles (-13%), for MSA of the cerebellar type in pons (-33%), cerebellum (-23%), and middle cerebellar peduncles (-36%), and for MSA of the parkinsonian type in the putamen (-23%). The majority of binary support vector machine classifications between the groups resulted in balanced accuracies of >80%. With MSA of the cerebellar and parkinsonian type combined in one group, support vector machine classification of PD, PSP and MSA achieved sensitivities of 79% to 87% and specificities of 87% to 96%. Extraction of weighting factors confirmed that midbrain, basal ganglia, and cerebellar peduncles had the largest relevance for classification. CONCLUSIONS Brain volumetry combined with support vector machine classification allowed for reliable automated differentiation of parkinsonian syndromes on single-patient level even for MRI acquired on different scanners. © 2016 International Parkinson and Movement Disorder Society.
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Affiliation(s)
| | - Leona Möller
- Department of Neurology, University Hospital Gießen and Marburg, Marburg, Germany
| | - Martin Südmeyer
- Department of Neurology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Rüdiger Hilker
- Department of Neurology, Johann Wolfgang Goethe University, Frankfurt, Germany
| | - Elke Hattingen
- Department of Neuroradiology, Johann Wolfgang Goethe University, Frankfurt, Germany
| | - Karl Egger
- Department of Neuroradiology, Medical University Center Freiburg, Freiburg, Germany
| | - Florian Amtage
- Department of Neurology, Medical University Center Freiburg, Freiburg, Germany
| | - Gesine Respondek
- Department of Neurology, University Hospital Gießen and Marburg, Marburg, Germany.,Department of Neurology, Technische Universität München, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Maria Stamelou
- Department of Neurology, University Hospital Gießen and Marburg, Marburg, Germany
| | - Alfons Schnitzler
- Department of Neurology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | | | - Wolfgang H Oertel
- Department of Neurology, University Hospital Gießen and Marburg, Marburg, Germany
| | - Susanne Knake
- Department of Neurology, University Hospital Gießen and Marburg, Marburg, Germany
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany.
| | - Günter U Höglinger
- Department of Neurology, University Hospital Gießen and Marburg, Marburg, Germany.,Department of Neurology, Technische Universität München, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
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23
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Pan P, Liu Y, Zhang Y, Zhao H, Ye X, Xu Y. Brain gray matter abnormalities in progressive supranuclear palsy revisited. Oncotarget 2017; 8:80941-80955. [PMID: 29113357 PMCID: PMC5655252 DOI: 10.18632/oncotarget.20895] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 08/26/2017] [Indexed: 12/11/2022] Open
Abstract
Whole-brain voxel-based morphometry (VBM) studies of progressive supranuclear palsy (PSP) have demonstrated heterogeneous findings regarding gray matter (GM) abnormalities. Here, we used Seed-based d Mapping, a coordinate-based meta-analytic approach to identify consistent regions of GM anomalies across studies of PSP. Totally, 18 original VBM studies, comprising 284 patients with PSP and 367 healthy controls were included. As compared to healthy controls, patients with PSP demonstrated significant GM reductions in both cortical and subcortical regions, including the frontal motor cortices, medial (including anterior cingulate cortex) and lateral frontal cortices, insula, superior temporal gyrus, striatum (putamen and caudate nucleus), thalamus, midbrain, and anterior cerebellum. Our study further suggests that many confounding factors, such as age, male ratio, motor severity, cognitive impairment severity, and illness duration of PSP patients, and scanner field-strength, could contribute to the heterogeneity of GM alterations in PSP across studies. Our comprehensive meta-analysis demonstrates a specific neuroanatomical pattern of GM atrophy in PSP with the involvement of the cortical-subcortical circuitries that mediate vertical supranuclear gaze palsy, motor disabilities (postural instability with falls and parkinsonism), and cognitive-behavioral disturbances. Confounding factors merit attention in future studies.
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Affiliation(s)
- PingLei Pan
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, PR China
- Department of Neurology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China
| | - Yi Liu
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, PR China
- The State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, PR China
- Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, PR China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, PR China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, PR China
| | - Yang Zhang
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, PR China
- The State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, PR China
- Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, PR China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, PR China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, PR China
| | - Hui Zhao
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, PR China
- The State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, PR China
- Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, PR China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, PR China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, PR China
| | - Xing Ye
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, PR China
- The State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, PR China
- Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, PR China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, PR China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, PR China
| | - Yun Xu
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, PR China
- The State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, PR China
- Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, PR China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, PR China
- Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, PR China
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24
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Heim B, Krismer F, De Marzi R, Seppi K. Magnetic resonance imaging for the diagnosis of Parkinson's disease. J Neural Transm (Vienna) 2017; 124:915-964. [PMID: 28378231 PMCID: PMC5514207 DOI: 10.1007/s00702-017-1717-8] [Citation(s) in RCA: 134] [Impact Index Per Article: 19.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 03/22/2017] [Indexed: 12/11/2022]
Abstract
The differential diagnosis of parkinsonian syndromes is considered one of the most challenging in neurology and error rates in the clinical diagnosis can be high even at specialized centres. Despite several limitations, magnetic resonance imaging (MRI) has undoubtedly enhanced the diagnostic accuracy in the differential diagnosis of neurodegenerative parkinsonism over the last three decades. This review aims to summarize research findings regarding the value of the different MRI techniques, including advanced sequences at high- and ultra-high-field MRI and modern image analysis algorithms, in the diagnostic work-up of Parkinson's disease. This includes not only the exclusion of alternative diagnoses for Parkinson's disease such as symptomatic parkinsonism and atypical parkinsonism, but also the diagnosis of early, new onset, and even prodromal Parkinson's disease.
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Affiliation(s)
- Beatrice Heim
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Florian Krismer
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
| | - Roberto De Marzi
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
- Neuroimaging Research Core Facility, Medical University Innsbruck, Innsbruck, Austria.
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Whitwell JL, Höglinger GU, Antonini A, Bordelon Y, Boxer AL, Colosimo C, van Eimeren T, Golbe LI, Kassubek J, Kurz C, Litvan I, Pantelyat A, Rabinovici G, Respondek G, Rominger A, Rowe JB, Stamelou M, Josephs KA. Radiological biomarkers for diagnosis in PSP: Where are we and where do we need to be? Mov Disord 2017; 32:955-971. [PMID: 28500751 PMCID: PMC5511762 DOI: 10.1002/mds.27038] [Citation(s) in RCA: 149] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Revised: 04/11/2017] [Accepted: 04/13/2017] [Indexed: 12/11/2022] Open
Abstract
PSP is a pathologically defined neurodegenerative tauopathy with a variety of clinical presentations including typical Richardson's syndrome and other variant PSP syndromes. A large body of neuroimaging research has been conducted over the past two decades, with many studies proposing different structural MRI and molecular PET/SPECT biomarkers for PSP. These include measures of brainstem, cortical and striatal atrophy, diffusion weighted and diffusion tensor imaging abnormalities, [18F] fluorodeoxyglucose PET hypometabolism, reductions in striatal dopamine imaging and, most recently, PET imaging with ligands that bind to tau. Our aim was to critically evaluate the degree to which structural and molecular neuroimaging metrics fulfill criteria for diagnostic biomarkers of PSP. We queried the PubMed, Cochrane, Medline, and PSYCInfo databases for original research articles published in English over the past 20 years using postmortem diagnosis or the NINDS-SPSP criteria as the diagnostic standard from 1996 to 2016. We define a five-level theoretical construct for the utility of neuroimaging biomarkers in PSP, with level 1 representing group-level findings, level 2 representing biomarkers with demonstrable individual-level diagnostic utility, level 3 representing biomarkers for early disease, level 4 representing surrogate biomarkers of PSP pathology, and level 5 representing definitive PSP biomarkers of PSP pathology. We discuss the degree to which each of the currently available biomarkers fit into this theoretical construct, consider the role of biomarkers in the diagnosis of Richardson's syndrome, variant PSP syndromes and autopsy confirmed PSP, and emphasize current shortfalls in the field. © 2017 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
| | - Günter U. Höglinger
- Department of Neurology, Technische Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Germany
| | - Angelo Antonini
- Parkinson and Movement Disorder Unit, IRCCS Hospital San Camillo, Venice and Department of Neurosciences (DNS), Padova University, Padova, Italy
| | - Yvette Bordelon
- Department of Neurology, University of California, Los Angeles, CA, USA
| | - Adam L. Boxer
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Carlo Colosimo
- Department of Neurology, Santa Maria University Hospital, Terni, Italy
| | - Thilo van Eimeren
- German Center for Neurodegenerative Diseases (DZNE), Germany
- Department of Nuclear Medicine, University of Cologne, Cologne, Germany
| | - Lawrence I. Golbe
- Department of Neurology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Carolin Kurz
- Psychiatrische Klinik, Ludwigs-Maximilians-Universität, München, Germany
| | - Irene Litvan
- Department of Neurology, University of California, San Diego, CA, USA
| | | | - Gil Rabinovici
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Gesine Respondek
- Department of Neurology, Technische Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Germany
| | - Axel Rominger
- Deptartment of Nuclear Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - James B. Rowe
- Department of Clinical Neurosciences, Cambridge University, Cambridge, UK
| | - Maria Stamelou
- Second Department of Neurology, Attikon University Hospital, University of Athens, Greece; Philipps University, Marburg, Germany; Movement Disorders Dept., HYGEIA Hospital, Athens, Greece
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Sakurai K, Tokumaru AM, Shimoji K, Murayama S, Kanemaru K, Morimoto S, Aiba I, Nakagawa M, Ozawa Y, Shimohira M, Matsukawa N, Hashizume Y, Shibamoto Y. Beyond the midbrain atrophy: wide spectrum of structural MRI finding in cases of pathologically proven progressive supranuclear palsy. Neuroradiology 2017; 59:431-443. [DOI: 10.1007/s00234-017-1812-4] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 02/19/2017] [Indexed: 01/29/2023]
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Advanced structural neuroimaging in progressive supranuclear palsy: Where do we stand? Parkinsonism Relat Disord 2017; 36:19-32. [DOI: 10.1016/j.parkreldis.2016.12.023] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Revised: 12/01/2016] [Accepted: 12/23/2016] [Indexed: 12/11/2022]
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Nicoletti G, Caligiuri ME, Cherubini A, Morelli M, Novellino F, Arabia G, Salsone M, Quattrone A. A Fully Automated, Atlas-Based Approach for Superior Cerebellar Peduncle Evaluation in Progressive Supranuclear Palsy Phenotypes. AJNR Am J Neuroradiol 2016; 38:523-530. [PMID: 28034996 DOI: 10.3174/ajnr.a5048] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Accepted: 10/24/2016] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND PURPOSE The superior cerebellar peduncle is damaged in progressive supranuclear palsy. However, alterations differ between progressive supranuclear palsy with Richardson syndrome and progressive supranuclear palsy-parkinsonism. In this study, we propose an automated tool for superior cerebellar peduncle integrity assessment and test its performance in patients with progressive supranuclear palsy with Richardson syndrome, progressive supranuclear palsy-parkinsonism, Parkinson disease, and healthy controls. MATERIALS AND METHODS Structural and diffusion MRI was performed in 21 patients with progressive supranuclear palsy with Richardson syndrome, 9 with progressive supranuclear palsy-parkinsonism, 20 with Parkinson disease, and 30 healthy subjects. In a fully automated pipeline, the left and right superior cerebellar peduncles were first identified on MR imaging by using a tractography-based atlas of white matter tracts; subsequently, volume, mean diffusivity, and fractional anisotropy were extracted from superior cerebellar peduncles. These measures were compared across groups, and their discriminative power in differentiating patients was evaluated in a linear discriminant analysis. RESULTS Compared with those with Parkinson disease and controls, patients with progressive supranuclear palsy with Richardson syndrome showed alterations of all superior cerebellar peduncle metrics (decreased volume and fractional anisotropy, increased mean diffusivity). Patients with progressive supranuclear palsy-parkinsonism had smaller volumes than those with Parkinson disease and controls and lower fractional anisotropy than those with Parkinson disease. Patients with progressive supranuclear palsy with Richardson syndrome had significantly altered fractional anisotropy and mean diffusivity in the left superior cerebellar peduncle compared with those with progressive supranuclear palsy-parkinsonism. Discriminant analysis with the sole use of significant variables separated progressive supranuclear palsy-parkinsonism from progressive supranuclear palsy with Richardson syndrome with 70% accuracy and progressive supranuclear palsy-parkinsonism from Parkinson disease with 74% accuracy. CONCLUSIONS We demonstrate the feasibility of an automated approach for extracting multimodal MR imaging metrics from the superior cerebellar peduncle in healthy subjects and patients with parkinsonian. We provide evidence that structural and diffusion measures of the superior cerebellar peduncle might be valuable for computer-aided diagnosis of progressive supranuclear palsy subtypes and for differentiating patients with progressive supranuclear palsy-parkinsonism from with those with Parkinson disease.
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Affiliation(s)
- G Nicoletti
- From the Institute of Bioimaging and Molecular Physiology (G.N., M.E.C., A.C., F.N., M.S., A.Q.), National Research Council, Catanzaro, Italy
| | - M E Caligiuri
- From the Institute of Bioimaging and Molecular Physiology (G.N., M.E.C., A.C., F.N., M.S., A.Q.), National Research Council, Catanzaro, Italy
| | - A Cherubini
- From the Institute of Bioimaging and Molecular Physiology (G.N., M.E.C., A.C., F.N., M.S., A.Q.), National Research Council, Catanzaro, Italy
| | - M Morelli
- Institute of Neurology (M.M., G.A., A.Q.), University "Magna Graecia", Catanzaro, Italy
| | - F Novellino
- From the Institute of Bioimaging and Molecular Physiology (G.N., M.E.C., A.C., F.N., M.S., A.Q.), National Research Council, Catanzaro, Italy
| | - G Arabia
- Institute of Neurology (M.M., G.A., A.Q.), University "Magna Graecia", Catanzaro, Italy
| | - M Salsone
- From the Institute of Bioimaging and Molecular Physiology (G.N., M.E.C., A.C., F.N., M.S., A.Q.), National Research Council, Catanzaro, Italy
| | - A Quattrone
- From the Institute of Bioimaging and Molecular Physiology (G.N., M.E.C., A.C., F.N., M.S., A.Q.), National Research Council, Catanzaro, Italy.,Institute of Neurology (M.M., G.A., A.Q.), University "Magna Graecia", Catanzaro, Italy
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Diagnostic value of blink reflex in multisystem atrophy, progressive supranuclear palsy and Parkinson disease. Neurol Neurochir Pol 2016; 50:336-41. [PMID: 27591058 DOI: 10.1016/j.pjnns.2016.06.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 05/18/2016] [Accepted: 06/14/2016] [Indexed: 11/23/2022]
Abstract
UNLABELLED Abnormal blink reflex (BR) is a result of reticular brainstem pathways dysfunction and seems to be one of the features of brain degenerative disorders. The aim of the study was to estimate the diagnostic value of blink reflex in neurodegenerative diseases such as: multisystem atrophy (MSA), progressive supranuclear palsy (PSP) and Parkinson disease (PD). Material consisted of 99 patients with clinically probable MSA (51), PSP (28) and PD (20). MSA patients were divided into two subgroups, with dominant cerebellar (MSA-C) and parkinsonian signs (MSA-P). The mean age of patients was 64.9 years (47-79 years); males - 55.3%. Blink reflex was obtained in a typical way. RESULTS The significant differences in mean values of blink reflex latencies between PD and other subgroups (MSA-P, MSA-C, PSP) were found, but all of them were in normal range. In individual patients with PD and PSP (50% and 18%, respectively) delayed R2 latencies were recorded. CONCLUSIONS The most frequently abnormal blink reflexes, comparing the MSA, PSP and PD groups, were present in PD patients. We postulate that this may be explained by pathological influence of nigrostriatal pathway on the circuit linking the basal ganglia, cerebellum and brainstem.
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Caso F, Agosta F, Volonté MA, Ferraro PM, Tiraboschi P, Copetti M, Valsasina P, Falautano M, Comi G, Falini A, Filippi M. Cognitive impairment in progressive supranuclear palsy-Richardson's syndrome is related to white matter damage. Parkinsonism Relat Disord 2016; 31:65-71. [PMID: 27453032 DOI: 10.1016/j.parkreldis.2016.07.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 06/27/2016] [Accepted: 07/16/2016] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Beside motor symptoms, patients with progressive supranuclear palsy syndrome (PSPs) commonly present cognitive and behavioral disorders. In this study we aimed to assess the structural brain correlates of cognitive impairment in PSPs. METHODS We enrolled 23 patients with probable PSP Richardson's syndrome and 15 matched healthy controls. Patients underwent an extensive clinical and neuropsychological evaluation. Cortical thickness measures and diffusion tensor metrics of white matter tracts were obtained. Random forest analysis was used to identify the strongest MRI predictors of cognitive impairment in PSPs at an individual patient level. RESULTS PSPs patients were in a moderate stage of the disease showing mild cognitive deficits with prominent executive dysfunction. Relative to controls, PSPs patients had a focal, bilateral cortical thinning mainly located in the prefrontal/precentral cortex and temporal pole. PSPs patients also showed a distributed white matter damage involving the main tracts including the superior cerebellar peduncle, corpus callosum, corticospinal tract, and extramotor tracts, such as the inferior fronto-occipital, superior longitudinal and uncinate fasciculi, and cingulum, bilaterally. Regional cortical thinning measures did not relate with cognitive features, while white matter damage showed a significant impact on cognitive impairment (r values ranging from -0.80 to 0.74). CONCLUSIONS PSPs patients show both focal cortical thinning in dorsolateral anterior regions and a distributed white matter damage involving the main motor and extramotor tracts. White matter measures are highly associated with cognitive deficits. Diffusion tensor MRI metrics are likely to be the most sensitive markers of extramotor deficits in PSPs.
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Affiliation(s)
- Francesca Caso
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Maria Antonietta Volonté
- Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Pilar M Ferraro
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Pietro Tiraboschi
- Division of Neurology V and Neuropathology, IRCCS Foundation, Carlo Besta Neurologic Institute, Milan, Italy
| | - Massimiliano Copetti
- Biostatistics Unit, IRCCS-Ospedale Casa Sollievo della Sofferenza, Foggia, Italy
| | - Paola Valsasina
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Monica Falautano
- Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Giancarlo Comi
- Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Andrea Falini
- Department of Neuroradiology and CERMAC, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
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Kassubek J, Müller HP. Computer-based magnetic resonance imaging as a tool in clinical diagnosis in neurodegenerative diseases. Expert Rev Neurother 2016; 16:295-306. [PMID: 26807776 DOI: 10.1586/14737175.2016.1146590] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Magnetic resonance imaging (MRI) is one of the core elements within the differential diagnostic work-up of patients with neurodegenerative diseases such as dementia syndromes, Parkinsonian syndromes, and motor neuron diseases. Currently, computerized MRI analyses are not routinely used for individual diagnosis; however, they have improved the anatomical understanding of pathomorphological alterations in various neurodegenerative diseases by quantitative comparisons between patients and controls at the group level. For multiparametric MRI protocols, including T1-weighted MRI, diffusion-weighted imaging, and intrinsic functional connectivity MRI, the potential as a surrogate marker is a subject of investigation. The additional value of MRI with respect to diagnosis at the individual level and for future disease-modifying multicentre trials remains to be defined. Here, we give an overview of recent applications of multiparametric MRI to patients with various neurodegenerative diseases. Starting from applications at the group level, continuous progress of a transfer to individual diagnostic classification is ongoing.
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Affiliation(s)
- Jan Kassubek
- a Department of Neurology , University of Ulm , Ulm , Germany
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Filippi M, Agosta F, Ferraro PM. Charting Frontotemporal Dementia: From Genes to Networks. J Neuroimaging 2015; 26:16-27. [PMID: 26617288 DOI: 10.1111/jon.12316] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Revised: 10/19/2015] [Accepted: 10/20/2015] [Indexed: 12/11/2022] Open
Abstract
Frontotemporal dementia (FTD) is a genetically and clinically heterogeneous syndrome that is characterized by overlapping clinical symptoms involving behavior, personality, language and/or motor functions and degeneration of the frontal and temporal lobes. The term frontotemporal lobar degeneration (FTLD) is used to describe the proteinopathies associated with clinical FTD. Emerging evidence from network-based neuroimaging studies, such as resting state functional MRI and diffusion tensor MRI studies, have implicated specific large-scale brain networks in the pathogenesis of FTD syndromes, suggesting a new paradigm for explaining the distributed and heterogeneous spreading patterns of pathological proteins in FTLD. In this review, we overview recent research on the study of FTD syndromes as connectivity disorders in symptomatic patients as well as genotype-specific changes in asymptomatic FTD-related gene mutation carriers. Characterizing brain network breakdown in these subjects using neuroimaging may help anticipate the diagnosis and perhaps prevent the devastating impact of FTD.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Pilar M Ferraro
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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Wang G, Wang J, Zhan J, Nie B, Li P, Fan L, Zhu H, Feng T, Shan B. Quantitative assessment of cerebral gray matter density change in progressive supranuclear palsy using voxel based morphometry analysis and cerebral MR T1-weighted FLAIR imaging. J Neurol Sci 2015; 359:367-72. [PMID: 26671144 DOI: 10.1016/j.jns.2015.11.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Revised: 10/21/2015] [Accepted: 11/04/2015] [Indexed: 11/27/2022]
Abstract
PURPOSE To investigate the gray matter (GM) atrophy in Progressive supranuclear palsy (PSP) using T1-weighted Fluid-Attenuated Inversion Recovery (FLAIR) images based on voxel based morphometry (VBM) method. MATERIALS AND METHODS In this study, we firstly modified the conventional VBM method to make it can process the T1-weighted FLAIR brain images. Then, we used this method on the 24 PSP patients and 23 healthy age- and sex-matched control subjects to find the local gray matter density changes of PSP patients. RESULTS Compared with healthy controls, GM reductions of PSP patients mainly located in the thalamus, basal ganglia, pons, midbrain, insular cortex, frontal cortex, temporal lobe, cerebellum, cingulate cortex and hippocampus. CONCLUSION We used the modified VBM technique into T1 FLAIR data to study the brain gray matter atrophy in PSP, and found some new atrophy areas, including pallidum, middle and posterior cingulum, lingual, fusiform gyrus and the post part of inferior temporal gyrus. These areas have not been described in the former VBM studies, but they revealed abnormity in the pathologic and other studies on PSP. Our results might be expected to provide significant underlining neurology information and diagnostic value for PSP.
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Affiliation(s)
- Guihong Wang
- Center for Neurodegenerative Diseases, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, 6 Tiantan Xili, Dongcheng District, Beijing 100050, China
| | - Jingjuan Wang
- Division of Nuclear Technology and Applications, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China; Beijing Engineering Research Center of Radiographic Techniques and Equipment, Beijing 100049, China
| | - Jiong Zhan
- Neuroscience Imaging Center, Beijing Tiantan Hospital, 6 Tiantan Xili, Dongcheng District, Beijing 100050, China
| | - Binbin Nie
- Division of Nuclear Technology and Applications, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China; Beijing Engineering Research Center of Radiographic Techniques and Equipment, Beijing 100049, China
| | - Panlong Li
- Division of Nuclear Technology and Applications, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China; Beijing Engineering Research Center of Radiographic Techniques and Equipment, Beijing 100049, China; Physical Science and Technology College, Zhengzhou University, Zhengzhou 450052, China
| | - Lidan Fan
- Division of Nuclear Technology and Applications, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China; Beijing Engineering Research Center of Radiographic Techniques and Equipment, Beijing 100049, China; Physical Science and Technology College, Zhengzhou University, Zhengzhou 450052, China
| | - Haitao Zhu
- Division of Nuclear Technology and Applications, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China; Beijing Engineering Research Center of Radiographic Techniques and Equipment, Beijing 100049, China
| | - Tao Feng
- Center for Neurodegenerative Diseases, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, 6 Tiantan Xili, Dongcheng District, Beijing 100050, China; China National Clinical Research Center for Neurological Diseases, Beijing, China; Parkinson's Disease Center, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China.
| | - Baoci Shan
- Division of Nuclear Technology and Applications, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China; Beijing Engineering Research Center of Radiographic Techniques and Equipment, Beijing 100049, China.
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Neuroimaging evidence of gray and white matter damage and clinical correlates in progressive supranuclear palsy. J Neurol 2015; 262:1850-8. [PMID: 25980906 DOI: 10.1007/s00415-015-7779-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Revised: 05/06/2015] [Accepted: 05/07/2015] [Indexed: 12/31/2022]
Abstract
To evaluate gray matter (GM) and white matter (WM) abnormalities and their clinical correlates in patients with progressive supranuclear palsy (PSP). Sixteen PSP patients and sixteen age-matched healthy subjects underwent a clinical evaluation and multimodal magnetic resonance imaging, including three-dimensional T1-weighted imaging and diffusion tensor imaging (DTI). Volumetric and DTI analyses were computed using SPM and FSL tools. PSP patients showed GM volume decrease, involving the frontal cortex, putamen, pallidum, thalamus and accumbens nucleus, cerebellum, and brainstem. Additionally, they had widespread changes in WM bundles, mainly affecting cerebellar peduncles, thalamic radiations, corticospinal tracts, corpus callosum, and longitudinal fasciculi. GM volumes did not correlate with WM abnormalities. DTI indices of WM damage, but not GM volumes, correlated with clinical scores of disease severity and cognitive impairment. The neurodegenerative changes that occur in PSP involve both GM and WM structures and develop concurrently though independently. WM damage in PSP correlates with clinical scores of disease severity and cognitive impairment, thus providing further insight into the pathophysiology of the disease.
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Rosskopf J, Müller HP, Huppertz HJ, Ludolph AC, Pinkhardt EH, Kassubek J. Frontal corpus callosum alterations in progressive supranuclear palsy but not in Parkinson's disease. NEURODEGENER DIS 2014; 14:184-93. [PMID: 25377379 DOI: 10.1159/000367693] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2014] [Accepted: 08/19/2014] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Frontal lobe involvement is considered a clinical and magnetic resonance imaging (MRI) feature in later stages of progressive supranuclear palsy (PSP). OBJECTIVE Diffusion tensor imaging (DTI) was used to investigate the integrity of frontal pathways in PSP and Parkinson's disease (PD) patients. METHODS DTI and 3-D MRI were performed in 15 PSP patients (parkinsonism subtype: n = 8; Richardson subtype: n = 7), 15 PD patients, and 18 matched controls. DTI analysis was performed in order to identify differences along frontal white matter structures including the corpus callosum (CC) and was complemented by atlas-based volumetry and planimetry. RESULTS Significantly reduced regional fractional anisotropy was observed for PSP patients versus controls and PSP versus PD patients, respectively, in frontal areas including the area II of the CC and bilaterally in the callosal radiation. The DTI findings correlated with frontal lobe volumes. These differences were not observed between PD patients and controls. CONCLUSION DTI identified a PSP-associated microstructural alteration pattern in the frontal lobes and in the CC area II including the corresponding bilateral callosal radiation tracts that could not be identified in both control samples, supporting the prominent PSP-associated frontal involvement as a potential neuroimaging marker.
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36
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Colloby SJ, O׳Brien JT, Taylor JP. Patterns of cerebellar volume loss in dementia with Lewy bodies and Alzheimer׳s disease: A VBM-DARTEL study. Psychiatry Res 2014; 223:187-91. [PMID: 25037902 PMCID: PMC4333903 DOI: 10.1016/j.pscychresns.2014.06.006] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2014] [Revised: 05/27/2014] [Accepted: 06/19/2014] [Indexed: 12/20/2022]
Abstract
Evidence suggests that the cerebellum contributes to cognition as well as motor function. We investigated cerebellar grey matter (GM) and white matter (WM) changes from magnetic resonance images in dementia with Lewy bodies (DLB), Alzheimer׳s disease (AD) and healthy older subjects using voxel-based morphometry (VBM). Subjects (39 controls, 41 DLB, and 48 AD) underwent magnetic resonance imaging as well as clinical and cognitive assessments. VBM used SPM8 with a cerebellar brain mask to define the subspace for voxel analysis. Statistical analyses were conducted using the general linear model. Relative to findings in controls, VBM analysis revealed cerebellar GM loss in lobule VI bilaterally in AD and in left Crus I and right Crus II regions in DLB. WM deficits were confined to AD in the bilateral middle cerebellar peduncles. DLB demonstrates a different pattern of cerebellar GM loss which, although not significantly different from that in AD, could be an important feature in understanding the neurobiology of DLB and warrants further investigation.
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Affiliation(s)
- Sean. J. Colloby
- Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK,Corresponding author. Tel.: +44 191 208 1321; fax: +44 191 208 1301.
| | - John. T. O׳Brien
- Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK,Department of Psychiatry, University of Cambridge, Cambridge CB2 0QC, UK
| | - John-Paul Taylor
- Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
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Jecmenica-Lukic M, Petrovic IN, Pekmezovic T, Kostic VS. Clinical outcomes of two main variants of progressive supranuclear palsy and multiple system atrophy: a prospective natural history study. J Neurol 2014; 261:1575-83. [PMID: 24888315 DOI: 10.1007/s00415-014-7384-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2014] [Revised: 04/22/2014] [Accepted: 05/15/2014] [Indexed: 01/31/2023]
Abstract
Progressive supranuclear palsy (PSP) and parkinsonian subtype of multiple system atrophy (MSA-P) are, after Parkinson's disease (PD), the most common forms of neurodegenerative parkinsonism. Clinical heterogeneity of PSP includes two main variants, Richardson syndrome (PSP-RS) and PSP-parkinsonism (PSP-P). Clinical differentiation between them may be impossible at least during the first 2 years of the disease. Little is known about the differences in natural course of PSP-RS and PSP-P and, therefore, in this study we prospectively followed the clinical outcomes of consecutive, pathologically unconfirmed patients with the clinical diagnoses of PSP-RS (51 patients), PSP-P (21 patients) and MSA-P (49 patients). Estimated mean survival time was 11.2 years for PSP-P, 6.8 years for PSP-RS, and 7.9 years for MSA-P, where a 5-year survival probabilities were 90, 66 and 78 %, respectively. More disabling course of PSP-RS compared to PSP-P was also highlighted through the higher number of milestones reached in the first 3 years of the disease, as well as in the trend to reach all clinical milestones earlier. We found that PSP-P variant had a more favorable course with longer survival, not only when compared to PSP-RS, but also when compared to another form of atypical parkinsonism, MSA-P.
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Affiliation(s)
- Milica Jecmenica-Lukic
- Clinic of Neurology, School of Medicine, University of Belgrade, Ul. Dr Subotića 6, 11000, Belgrade, Serbia,
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Tessitore A, Giordano A, Caiazzo G, Corbo D, De Micco R, Russo A, Liguori S, Cirillo M, Esposito F, Tedeschi G. Clinical correlations of microstructural changes in progressive supranuclear palsy. Neurobiol Aging 2014; 35:2404-10. [PMID: 24786632 DOI: 10.1016/j.neurobiolaging.2014.03.028] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Revised: 03/11/2014] [Accepted: 03/23/2014] [Indexed: 11/16/2022]
Abstract
In patients with progressive supranuclear palsy (PSP), previous reports have shown a severe white matter (WM) damage involving supra and infratentorial regions including cerebellum. In the present study, we investigated potential correlations between WM integrity loss and clinical-cognitive features of patients with PSP. By using magnetic resonance imaging and diffusion tensor imaging with tract based spatial statistic analysis, we analyzed WM volume in 18 patients with PSP and 18 healthy controls (HCs). All patients and HCs underwent a detailed clinical and neuropsychological evaluation. Relative to HCs, patients with PSP showed WM changes encompassing supra and infratentorial areas such as corpus callosum, fornix, midbrain, inferior fronto-occipital fasciculus, anterior thalamic radiation, superior cerebellar peduncle, superior longitudinal fasciculus, uncinate fasciculus, cingulate gyrus, and cortico-spinal tract bilaterally. Among different correlations between motor-cognitive features and WM structural abnormalities, we detected a significant association between fronto-cerebellar WM loss and executive cognitive impairment in patients with PSP. Our findings, therefore, corroborate the hypothesis that cognitive impairment in PSP may result from both "intrinsic" and "extrinsic" frontal lobe dysfunction, likely related to cerebellar disconnection.
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Affiliation(s)
| | - Alfonso Giordano
- Department of Neurology, Second University of Naples, Naples, Italy; IDC Hermitage Capodimonte, Naples, Italy
| | - Giuseppina Caiazzo
- MRI Research Center SUN-FISM, Second University of Naples, Naples, Italy
| | - Daniele Corbo
- MRI Research Center SUN-FISM, Second University of Naples, Naples, Italy
| | - Rosa De Micco
- Department of Neurology, Second University of Naples, Naples, Italy
| | - Antonio Russo
- Department of Neurology, Second University of Naples, Naples, Italy; IDC Hermitage Capodimonte, Naples, Italy
| | - Sara Liguori
- Department of Neurology, Second University of Naples, Naples, Italy
| | - Mario Cirillo
- Neuroradiology Service, Second University of Naples, Naples, Italy
| | - Fabrizio Esposito
- Department of Medicine and Surgery, University of Salerno, Baronissi, Italy; Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
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Sakurai K, Imabayashi E, Tokumaru AM, Hasebe S, Murayama S, Morimoto S, Kanemaru K, Takao M, Shibamoto Y, Matsukawa N. The feasibility of white matter volume reduction analysis using SPM8 plus DARTEL for the diagnosis of patients with clinically diagnosed corticobasal syndrome and Richardson's syndrome. NEUROIMAGE-CLINICAL 2014; 7:605-10. [PMID: 26082887 PMCID: PMC4459051 DOI: 10.1016/j.nicl.2014.02.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Revised: 02/17/2014] [Accepted: 02/19/2014] [Indexed: 11/29/2022]
Abstract
Purpose Diagnosing corticobasal degeneration (CBD) and progressive supranuclear palsy (PSP) is often difficult due to the wide variety of symptoms and overlaps in the similar clinical courses and neurological findings. The purpose of this study was to evaluate the utility of white matter (WM) atrophy for the diagnosis of patients with clinically diagnosed CBD (corticobasal syndrome, CBS) and PSP (Richardson’s syndrome, RS). Methods We randomly divided the 3D T1-weighted MR images of 18 CBS patients, 33 RS patients, and 32 age-matched controls into two groups. We obtained segmented WM images in the first group using Voxel-based specific regional analysis system for Alzheimer’s disease (VSRAD) based on statistical parametric mapping (SPM) 8 plus diffeomorphic anatomical registration through exponentiated Lie algebra. A target volume of interest (VOI) for disease-specific atrophy was subsequently determined in this group using SPM8 group analyses of WM atrophy between patients groups and controls. We then evaluated the utility of these VOIs for diagnosing CBS and RS patients in the second group. Z score values in these VOIs were used as the determinant in receiver operating characteristic (ROC) analyses. Results Specific target VOIs were determined in the bilateral frontal subcortical WM for CBS and in the midbrain tegmentum for RS. In ROC analyses, the target VOIs of CBS and RS compared to those of controls exhibited an area under curve (AUC) of 0.99 and 0.84, respectively, which indicated an adequate diagnostic power. The VOI of CBS revealed a higher AUC than that of RS for differentiating between CBS and RS (AUC, 0.75 vs 0.53). Conclusions Bilateral frontal WM volume reduction demonstrated a higher power for differentiating CBS from RS. This VOI analysis is useful for clinically diagnosing CBS and RS. ・We evaluate the utility of white matter (WM) atrophy for the diagnosis of patients with corticobasal syndrome (CBS) and Richardson’s syndrome (RS). ・We obtained segmented WM images using Voxel-based specific regional analysis system for Alzheimer’ s disease based on statistical parametric mapping 8 plus diffeomorphic anatomical registration through exponentiated Lie algebra. ・The most significant areas of atrophy observed in CBS patients compared to the controls were in the bilateral frontal subcortical WM. ・The most significant areas of atrophy observed in RS patients compared to the controls were in the midbrain. ・The volume of interest analysis using bilateral frontal WM volume reduction demonstrated a higher power for differentiating CBS from RS.
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Affiliation(s)
- Keita Sakurai
- Department of Diagnostic Radiology, Tokyo Metropolitan Medical Center of Gerontology
| | - Etsuko Imabayashi
- Department of Diagnostic Radiology, Tokyo Metropolitan Medical Center of Gerontology
| | - Aya M Tokumaru
- Department of Diagnostic Radiology, Tokyo Metropolitan Medical Center of Gerontology
| | - Shin Hasebe
- Department of Diagnostic Radiology, Tokyo Metropolitan Medical Center of Gerontology
| | - Shigeo Murayama
- Department of Neurology, Tokyo Metropolitan Geriatric Hospital
| | - Satoru Morimoto
- Department of Neurology, Tokyo Metropolitan Geriatric Hospital
| | | | - Masaki Takao
- Department of Neuropathology (the Brain Bank for Aging Research), Tokyo Metropolitan Geriatric Hospital, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology
| | - Yuta Shibamoto
- Department of Radiology, Nagoya City University Graduate School of Medical Sciences
| | - Noriyuki Matsukawa
- Department of Neurology and Neuroscience, Nagoya City University Graduate School of Medical Sciences
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Shao N, Yang J, Li J, Shang HF. Voxelwise meta-analysis of gray matter anomalies in progressive supranuclear palsy and Parkinson's disease using anatomic likelihood estimation. Front Hum Neurosci 2014; 8:63. [PMID: 24600372 PMCID: PMC3927227 DOI: 10.3389/fnhum.2014.00063] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2013] [Accepted: 01/26/2014] [Indexed: 02/05/2023] Open
Abstract
Numerous voxel-based morphometry (VBM) studies on gray matter (GM) of patients with progressive supranuclear palsy (PSP) and Parkinson's disease (PD) have been conducted separately. Identifying the different neuroanatomical changes in GM resulting from PSP and PD through meta-analysis will aid the differential diagnosis of PSP and PD. In this study, a systematic review of VBM studies of patients with PSP and PD relative to healthy control (HC) in the Embase and PubMed databases from January 1995 to April 2013 was conducted. The anatomical distribution of the coordinates of GM differences was meta-analyzed using anatomical likelihood estimation. Separate maps of GM changes were constructed and subtraction meta-analysis was performed to explore the differences in GM abnormalities between PSP and PD. Nine PSP studies and 24 PD studies were included. GM reductions were present in the bilateral thalamus, basal ganglia, midbrain, insular cortex and inferior frontal gyrus, and left precentral gyrus and anterior cingulate gyrus in PSP. Atrophy of GM was concentrated in the bilateral middle and inferior frontal gyrus, precuneus, left precentral gyrus, middle temporal gyrus, right superior parietal lobule, and right cuneus in PD. Subtraction meta-analysis indicated that GM volume was lesser in the bilateral midbrain, thalamus, and insula in PSP compared with that in PD. Our meta-analysis indicated that PSP and PD shared a similar distribution of neuroanatomical changes in the frontal lobe, including inferior frontal gyrus and precentral gyrus, and that atrophy of the midbrain, thalamus, and insula are neuroanatomical markers for differentiating PSP from PD.
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Affiliation(s)
- Na Shao
- Department of Neurology, West China Hospital, Sichuan University Chengdu, China
| | - Jing Yang
- Department of Neurology, West China Hospital, Sichuan University Chengdu, China
| | - Jianpeng Li
- Department of Neurology, West China Hospital, Sichuan University Chengdu, China
| | - Hui-Fang Shang
- Department of Neurology, West China Hospital, Sichuan University Chengdu, China
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Yang J, Shao N, Li J, Shang H. Voxelwise meta-analysis of white matter abnormalities in progressive supranuclear palsy. Neurol Sci 2013; 35:7-14. [DOI: 10.1007/s10072-013-1512-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2013] [Accepted: 07/24/2013] [Indexed: 11/24/2022]
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Lin CH, Chen CM, Lu MK, Tsai CH, Chiou JC, Liao JR, Duann JR. VBM Reveals Brain Volume Differences between Parkinson's Disease and Essential Tremor Patients. Front Hum Neurosci 2013; 7:247. [PMID: 23785322 PMCID: PMC3682128 DOI: 10.3389/fnhum.2013.00247] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2013] [Accepted: 05/19/2013] [Indexed: 01/18/2023] Open
Abstract
Symptoms of essential tremor (ET) are similar to those of Parkinson’s disease (PD) during their initial stages. Presently, there are few stable biomarkers available on a neuroanatomical level for distinguishing between these two diseases. However, few investigations have directly compared the changes in brain volume and assessed the compensatory effects of a change in the parts of the brain associated with PD and with ET. To determine the compensatory and/or degenerative anatomical changes in the brains of PD and ET patients, the present study tested, via two voxel-based morphometry (VBM) approaches (Basic vs. DARTEL VBM processing), the anatomical brain images of 10 PD and 10 ET patients, as well as of 13 age-matched normal controls, obtained through a 3T magnetic resonance scanner. These findings indicate that PD and ET caused specific patterns of brain volume alterations in the brains examined. In addition, our observations also revealed compensatory effects, or self-reorganization, occurring in the thalamus and the middle temporal gyrus in the PD and ET patients, due perhaps in part to the enhanced thalamocortical sensorimotor interaction and the head-eye position readjustment, respectively, in these PD and ET patients. Such a distinction may lend itself to use as a biomarker for differentiating between these two diseases.
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Affiliation(s)
- Ching-Hung Lin
- Biomedical Engineering R&D Center, China Medical University , Taichung , Taiwan ; Biomedical Electronics Translational Research Center, National Chiao Tung University , Hsinchu , Taiwan ; Department of Psychology, Soochow University , Taipei , Taiwan
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Chang Y, Jin SU, Kim Y, Shin KM, Lee HJ, Kim SH, Ahn JH, Park SJ, Jeong KS, Weon YC, Lee H. Decreased brain volumes in manganese-exposed welders. Neurotoxicology 2013; 37:182-9. [PMID: 23685157 DOI: 10.1016/j.neuro.2013.05.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2013] [Revised: 04/26/2013] [Accepted: 05/04/2013] [Indexed: 01/09/2023]
Abstract
BACKGROUND A great deal of research has been devoted to identifying subclinical functional brain abnormalities in manganese (Mn)-exposed welders. However, no previous study has investigated morphological brain abnormalities, such as changes in brain volume, in welders. This study evaluates morphological changes in brain volume among welders, and investigates the relationship between structural brain abnormalities and subclinical dysfunction in this population. METHODS We used voxel-based morphometry (VBM) to assess differences in gray and white matter brain volumes between 40 welders with chronic Mn exposure and 26 age-matched control subjects. Correlation analyses were used to investigate the relationship between brain volume changes and decreased performance on neurobehavioral tests. RESULTS Brain volumes in the globus pallidus and cerebellar regions were significantly diminished in welders with chronic Mn exposure compared to controls (FDR-corrected P<0.05). These changes in brain volume were negatively correlated with cognitive performance and grooved pegboard scores. CONCLUSION There are measurable brain volume reductions in the globus pallidus and cerebellum of welders chronically exposed to Mn, and these volume reductions correlate with cognitive and motor neurobehavioral deficits. Our findings therefore indicate that volumetric measurement could be a useful subclinical marker among welders that show no signs of manganism.
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Affiliation(s)
- Yongmin Chang
- Department of Molecular Medicine, Kyungpook National University College of Medicine, Kyungpook National University Hospital, Daegu, South Korea
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Kamiya K, Sato N, Ota M, Nakata Y, Ito K, Kimura Y, Murata M, Mori H, Kunimatsu A, Ohtomo K. Diffusion tensor tract-specific analysis of the uncinate fasciculus in patients with progressive supranuclear palsy. J Neuroradiol 2013; 40:121-9. [DOI: 10.1016/j.neurad.2012.06.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2012] [Revised: 05/29/2012] [Accepted: 06/23/2012] [Indexed: 12/14/2022]
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Josephs KA, Xia R, Mandrekar J, Gunter JL, Senjem ML, Jack CR, Whitwell JL. Modeling trajectories of regional volume loss in progressive supranuclear palsy. Mov Disord 2013; 28:1117-24. [PMID: 23568852 DOI: 10.1002/mds.25437] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2012] [Revised: 01/31/2013] [Accepted: 02/11/2013] [Indexed: 11/10/2022] Open
Abstract
Progressive supranuclear palsy is a neurodegenerative disease with progressive brain atrophy over time. It is unknown which specific brain regions decline over time, whether regional volume loss occurs in a linear fashion, and whether regional atrophy correlates with clinical decline over time in progressive supranuclear palsy. Twenty-eight subjects meeting probable progressive supranuclear palsy criteria were prospectively recruited and completed 96 MRI scans over 2 years. Mixed-effect models were utilized to determine which regions had significant atrophy over time and whether decline was linear or nonlinear. We assessed 13 regions across the brain, as well as whole-brain and ventricular volume. Regional trajectories were also correlated with change in clinical measures of executive function and gait and ocular motor impairment. A linear decline was observed in all frontal and temporal regions, the superior parietal lobe, the thalamus, the caudate nuclei, and the midbrain, as well as in the whole brain. Ventricular expansion was also linear. Nonlinear decline was observed for the caudal middle frontal lobe and globus pallidus. Rates of change in the superior frontal lobe, thalamus, and midbrain were beyond those expected in normal aging. Decline in frontal lobe volume and the midbrain area correlated best to decline in clinical measures. In progressive supranuclear palsy, atrophy is occurring in multiple brain regions, particularly in those that have previously been implicated in the disease. Decline is mainly linear but can be nonlinear for some regions. The frontal lobe and midbrain seem to be playing the most significant roles in the progressive worsening of clinical signs in progressive supranuclear palsy.
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Affiliation(s)
- Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, Minnesota 55905, USA.
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Gray matter atrophy in progressive supranuclear palsy: meta-analysis of voxel-based morphometry studies. Neurol Sci 2013; 34:1049-55. [DOI: 10.1007/s10072-013-1406-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2012] [Accepted: 03/14/2013] [Indexed: 10/27/2022]
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Giordano A, Tessitore A, Corbo D, Cirillo G, de Micco R, Russo A, Liguori S, Cirillo M, Esposito F, Tedeschi G. Clinical and cognitive correlations of regional gray matter atrophy in progressive supranuclear palsy. Parkinsonism Relat Disord 2013; 19:590-4. [PMID: 23477861 DOI: 10.1016/j.parkreldis.2013.02.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2012] [Revised: 12/21/2012] [Accepted: 02/06/2013] [Indexed: 10/27/2022]
Abstract
BACKGROUND Progressive supranuclear palsy is the most common neurodegenerative bradykinetic-rigid syndrome after Parkinson's disease. Several volumetric studies have revealed a widespread cortical and subcortical gray matter atrophy, however the correlations between the pattern of gray matter loss and clinical-cognitive features have been poorly investigated. METHODS By using 3-T magnetic-resonance imaging and voxel-based morphometry we compared gray matter volume in 15 patients with progressive supranuclear palsy, 15 patients with Parkinson's disease and 15 healthy controls. All patients underwent a clinical and neuropsychological evaluation. RESULTS In agreement with previous studies, patients with progressive supranuclear palsy, compared to patients with Parkinson's disease and healthy controls, showed a reduced gray matter volume in several cortical and subcortical areas including cerebellum, frontal, temporal and parahippocampal cortical structures. We did not find any significant gray matter volume changes when comparing patients with Parkinson's disease vs healthy controls. Among different significant correlations between motor-cognitive features and gray matter loss, we detected a significant correlation between fronto-cerebellar gray matter atrophy and executive cognitive impairment in patients with progressive supranuclear palsy. CONCLUSIONS Our findings confirm that gray matter loss in patients with progressive supranuclear palsy involves several brain areas and suggest that cerebellar atrophy may play a role in the pathogenesis of cognitive dysfunction in patients with progressive supranuclear palsy due to a disruption of its modulation on executive functions.
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Affiliation(s)
- Alfonso Giordano
- Department of Neurology, Second University of Naples, Piazza Miraglia, 2, 80100 Naples, Italy
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Kostić VS, Mijajlović M, Smajlović D, Lukić MJ, Tomić A, Svetel M. Transcranial brain sonography findings in two main variants of progressive supranuclear palsy. Eur J Neurol 2012; 20:552-557. [DOI: 10.1111/ene.12034] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2012] [Accepted: 10/10/2012] [Indexed: 11/30/2022]
Affiliation(s)
- V. S. Kostić
- Department of Neurology School of Medicine University of Belgrade Belgrade Serbia
| | - M. Mijajlović
- Department of Neurology School of Medicine University of Belgrade Belgrade Serbia
| | - D. Smajlović
- Neurology Clinic University Clinical Center Tuzla Tuzla Bosnia and Herzegovina
| | - M. J. Lukić
- Department of Neurology School of Medicine University of Belgrade Belgrade Serbia
| | - A. Tomić
- Department of Neurology School of Medicine University of Belgrade Belgrade Serbia
| | - M. Svetel
- Department of Neurology School of Medicine University of Belgrade Belgrade Serbia
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Whitwell JL, Duffy JR, Strand EA, Machulda MM, Senjem ML, Gunter JL, Kantarci K, Eggers SD, Jack CR, Josephs KA. Neuroimaging comparison of primary progressive apraxia of speech and progressive supranuclear palsy. Eur J Neurol 2012; 20:629-37. [PMID: 23078273 DOI: 10.1111/ene.12004] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2012] [Accepted: 09/10/2012] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE Primary progressive apraxia of speech, a motor speech disorder of planning and programming, is a tauopathy that has overlapping histological features with progressive supranuclear palsy. We aimed to compare, for the first time, atrophy patterns, as well as white matter tract degeneration, between these two syndromes. METHODS Sixteen primary progressive apraxia of speech subjects were age- and gender-matched to 16 progressive supranuclear palsy subjects and 20 controls. All subjects were prospectively recruited, underwent neurological and speech evaluations and 3.0-Tesla magnetic resonance imaging. Grey and white matter atrophy was assessed using voxel-based morphometry and atlas-based parcellation, and white matter tract degeneration was assessed using diffusion tensor imaging. RESULTS All progressive supranuclear palsy subjects had typical oculomotor/gait impairments, but none had speech apraxia. Both syndromes showed grey matter loss in supplementary motor area, white matter loss in posterior frontal lobes and degeneration of the body of the corpus callosum. Whilst lateral grey matter loss was focal, involving superior premotor cortex, in primary progressive apraxia of speech, loss was less focal extending into prefrontal cortex in progressive supranuclear palsy. Caudate volume loss and tract degeneration of superior cerebellar peduncles were also observed in progressive supranuclear palsy. Interestingly, area of the midbrain was reduced in both syndromes compared to controls, although this was greater in progressive supranuclear palsy. CONCLUSIONS Although neuroanatomical differences were identified between these distinctive clinical syndromes, substantial overlap was also observed, including midbrain atrophy, suggesting these two syndromes may have common pathophysiological underpinnings.
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Affiliation(s)
- J L Whitwell
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
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Saini J, Bagepally BS, Sandhya M, Pasha SA, Yadav R, Thennarasu K, Pal PK. Subcortical structures in progressive supranuclear palsy: vertex‐based analysis. Eur J Neurol 2012; 20:493-501. [DOI: 10.1111/j.1468-1331.2012.03884.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2012] [Accepted: 08/21/2012] [Indexed: 10/27/2022]
Affiliation(s)
- J. Saini
- Department of Neuroimaging and Interventional Radiology National Institute of Mental Health & Neurosciences Bangalore KarnatakaIndia
| | - B. S. Bagepally
- Department of Neuroimaging and Interventional Radiology National Institute of Mental Health & Neurosciences Bangalore KarnatakaIndia
| | - M. Sandhya
- Department of Neuroimaging and Interventional Radiology National Institute of Mental Health & Neurosciences Bangalore KarnatakaIndia
| | - S. A. Pasha
- Department of Neurology National Institute of Mental Health & Neurosciences Bangalore KarnatakaIndia
| | - R. Yadav
- Department of Neurology National Institute of Mental Health & Neurosciences Bangalore KarnatakaIndia
| | - K. Thennarasu
- Department of Biostatistics National Institute of Mental Health & Neurosciences Bangalore Karnataka India
| | - P. K. Pal
- Department of Neurology National Institute of Mental Health & Neurosciences Bangalore KarnatakaIndia
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