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Outeiro TF, Alcalay RN, Antonini A, Attems J, Bonifati V, Cardoso F, Chesselet MF, Hardy J, Madeo G, McKeith I, Mollenhauer B, Moore DJ, Rascol O, Schlossmacher MG, Soreq H, Stefanis L, Ferreira JJ. Defining the Riddle in Order to Solve It: There Is More Than One "Parkinson's Disease". Mov Disord 2023. [PMID: 37156737 DOI: 10.1002/mds.29419] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/30/2023] [Accepted: 04/05/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND More than 200 years after James Parkinsondescribed a clinical syndrome based on his astute observations, Parkinson's disease (PD) has evolved into a complex entity, akin to the heterogeneity of other complex human syndromes of the central nervous system such as dementia, motor neuron disease, multiple sclerosis, and epilepsy. Clinicians, pathologists, and basic science researchers evolved arrange of concepts andcriteria for the clinical, genetic, mechanistic, and neuropathological characterization of what, in their best judgment, constitutes PD. However, these specialists have generated and used criteria that are not necessarily aligned between their different operational definitions, which may hinder progress in solving the riddle of the distinct forms of PD and ultimately how to treat them. OBJECTIVE This task force has identified current in consistencies between the definitions of PD and its diverse variants in different domains: clinical criteria, neuropathological classification, genetic subtyping, biomarker signatures, and mechanisms of disease. This initial effort for "defining the riddle" will lay the foundation for future attempts to better define the range of PD and its variants, as has been done and implemented for other heterogeneous neurological syndromes, such as stroke and peripheral neuropathy. We strongly advocate for a more systematic and evidence-based integration of our diverse disciplines by looking at well-defined variants of the syndrome of PD. CONCLUSION Accuracy in defining endophenotypes of "typical PD" across these different but interrelated disciplines will enable better definition of variants and their stratification in therapeutic trials, a prerequisite for breakthroughs in the era of precision medicine. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Tiago F Outeiro
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Goettingen, Goettingen, Germany
- Max Planck Institute for Multidisciplinary Sciences, Goettingen, Germany
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom
| | - Roy N Alcalay
- Neurological Institute, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel
- Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Angelo Antonini
- Department of Neurosciences (DNS), Padova University, Padova, Italy
| | - Johannes Attems
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom
| | - Vincenzo Bonifati
- Department of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Francisco Cardoso
- Movement Disorders Unit, Neurology Service, Internal Medicine Department, The Federal University of Minas Gerais, Belo Horizonte, Brazil
| | | | - John Hardy
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, United Kingdom
- UK Dementia Research Institute at UCL and Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, United Kingdom
- Reta Lila Weston Institute, UCL Queen Square Institute of Neurology, London, United Kingdom
- UCL Movement Disorders Centre, University College London, London, United Kingdom
- Institute for Advanced Study, The Hong Kong University of Science and Technology, Hong Kong, China
| | | | - Ian McKeith
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center, Göttingen, Germany
- Paracelsus-Elena-Klinik, Kassel, Germany
| | - Darren J Moore
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, Michigan, USA
| | - Olivier Rascol
- Department of Neurosciences, Clinical Investigation Center CIC 1436, Parkinson Toulouse Expert Centre, NS-Park/FCRIN Network and Neuro Toul COEN Centre, Toulouse University Hospital, INSERM, University of Toulouse 3, Toulouse, France
| | - Michael G Schlossmacher
- Program in Neuroscience and Division of Neurology, The Ottawa Hospital, Ottawa, Ontario, Canada
- University of Ottawa Brain and Mind Research Institute, Ottawa, Ontario, Canada
| | - Hermona Soreq
- The Institute of Life Sciences and The Edmond and Lily Safra Center of Brain Science, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Leonidas Stefanis
- First Department of Neurology, National and Kapodistrian University of Athens Medical School, Athens, Greece
- Biomedical Research Foundation of the Academy of Athens, Athens, Greece
- Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Joaquim J Ferreira
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
- CNS-Campus Neurológico, Torres Vedras, Portugal
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Gamma camera imaging in movement disorders. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00193-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Neuropathological correlation supports automated image-based differential diagnosis in parkinsonism. Eur J Nucl Med Mol Imaging 2021; 48:3522-3529. [PMID: 33839891 DOI: 10.1007/s00259-021-05302-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 03/07/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE Up to 25% of patients diagnosed as idiopathic Parkinson's disease (IPD) have an atypical parkinsonian syndrome (APS). We had previously validated an automated image-based algorithm to discriminate between IPD, multiple system atrophy (MSA), and progressive supranuclear palsy (PSP). While the algorithm was accurate with respect to the final clinical diagnosis after long-term expert follow-up, its relationship to the initial referral diagnosis and to the neuropathological gold standard is not known. METHODS Patients with an uncertain diagnosis of parkinsonism were referred for 18F-fluorodeoxyglucose (FDG) PET to classify patients as IPD or as APS based on the automated algorithm. Patients were followed by a movement disorder specialist and subsequently underwent neuropathological examination. The image-based classification was compared to the neuropathological diagnosis in 15 patients with parkinsonism. RESULTS At the time of referral to PET, the clinical impression was only 66.7% accurate. The algorithm correctly identified 80% of the cases as IPD or APS (p = 0.02) and 87.5% of the APS cases as MSA or PSP (p = 0.03). The final clinical diagnosis was 93.3% accurate (p < 0.001), but needed several years of expert follow-up. CONCLUSION The image-based classifications agreed well with autopsy and can help to improve diagnostic accuracy during the period of clinical uncertainty.
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Brooks DJ. Imaging Familial and Sporadic Neurodegenerative Disorders Associated with Parkinsonism. Neurotherapeutics 2021; 18:753-771. [PMID: 33432494 PMCID: PMC8423977 DOI: 10.1007/s13311-020-00994-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/16/2020] [Indexed: 11/24/2022] Open
Abstract
In this paper, the structural and functional imaging changes associated with sporadic and genetic Parkinson's disease and atypical Parkinsonian variants are reviewed. The role of imaging for supporting diagnosis and detecting subclinical disease is discussed, and the potential use and drawbacks of using imaging biomarkers for monitoring disease progression is debated. Imaging changes associated with nonmotor complications of PD are presented. The similarities and differences in imaging findings in Lewy body dementia, Parkinson's disease dementia, and Alzheimer's disease are discussed.
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Affiliation(s)
- David J Brooks
- Department of Nuclear Medicine, Aarhus University, Aarhus N, 8200, Denmark.
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK.
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Abstract
Positron emission tomography (PET) has revealed key insights into the pathophysiology of movement disorders. This paper will focus on how PET investigations of pathophysiology are particularly relevant to Parkinson disease, a neurodegenerative condition usually starting later in life marked by a varying combination of motor and nonmotor deficits. Various molecular imaging modalities help to determine what changes in brain herald the onset of pathology; can these changes be used to identify presymptomatic individuals who may be appropriate for to-be-developed treatments that may forestall onset of symptoms or slow disease progression; can PET act as a biomarker of disease progression; can molecular imaging help enrich homogenous cohorts for clinical studies; and what other pathophysiologic mechanisms relate to nonmotor manifestations. PET methods include measurements of regional cerebral glucose metabolism and blood flow, selected receptors, specific neurotransmitter systems, postsynaptic signal transducers, and abnormal protein deposition. We will review each of these methodologies and how they are relevant to important clinical issues pertaining to Parkinson disease.
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Affiliation(s)
- Baijayanta Maiti
- Department of Neurology, Washington University in St. Louis, St Louis, MO.
| | - Joel S Perlmutter
- Department of Neurology, Washington University in St. Louis, St Louis, MO; Department of Radiology, Washington University in St. Louis, St Louis, MO; Department of Neuroscience, Washington University in St. Louis, St Louis, MO; Department of Physical Therapy, Washington University in St. Louis, St Louis, MO; Department of Occupational Therapy, Washington University in St. Louis, St Louis, MO
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MEETING REPORTER. Curr Opin Neurol 2018; 30 Suppl 1:1-24. [DOI: 10.1097/wco.0000000000000521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Subramanian T, Marchionini D, Potter EM, Cornfeldt ML. Striatal Xenotransplantation of Human Retinal Pigment Epithelial Cells Attached to Microcarriers in Hemiparkinsonian Rats Ameliorates Behavioral Deficits without Provoking a Host Immune Response. Cell Transplant 2017. [DOI: 10.3727/096020198389979] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Attachment of donor cells to microcarriers has been reported to make them more tolerable for transplantation into the brain. Human retinal pigment epithelial (hRPE) cells have been previously reported to contain enzymes for the production of dopa. Therefore, we examined the host immune response and behavioral effects of xenotransplantation of hRPE cells attached to microcarriers (hRPE-M) into the striatum of unilateral dopamine-depleted rats. Thirty-four adult rats were lesioned with 6-OHDA injections into the medial forebrain bundle on the right side. After 5 weeks of testing for apomorphine-induced rotations (AIR), animals were randomized for right striatal surgery into the following four groups: hRPE-M (group 1), hRPE alone (group 2), microcarriers alone (group 3), or needle tract alone (group 4). Following surgery, animals were tested for AIR every 4 weeks for a period of 12–18 weeks and thereafter euthanized. There was a significant reduction in AIR scores posttransplantation in all groups of animals in the initial observation points at 4 weeks and 8 weeks. However, there was a gradual return to baseline scores in groups 2, 3, and 4 animals at 12 weeks and at 18 weeks only group 1 animals had statistically significant (p = 0.001, repeated measures ANOVA, means comparison, predetermined contrasts) reduction in AIR scores. Brain tissue from representative animals from each group was cut into 30-μm coronal sections, stained for cresyl violet, tyrosine hydroxylase (TH), and markers for host immune activation. Sections through the striatum from group 1 animals revealed microcarriers with attached cells resembling RPE cells. No evidence of transplanted hRPE cells could be detected in sections from group 2 animals while those from groups 3 and 4 animals showed microcarriers and a needle tract alone, respectively. There was no host TH-immunoreactive sprouting response in the striatum in any of the groups and the host immune response was minimal. These results suggest that intrastriatal hRPE-M xenotransplantation into rats is well tolerated without systemic immunosuppression and that such transplants may provide behavioral benefit for parkinsonism.
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A systematic review of lessons learned from PET molecular imaging research in atypical parkinsonism (Niccolini and Politis, 2016) : Reply to Jean-Claude Baron Letter to Editor. Eur J Nucl Med Mol Imaging 2016; 44:548-550. [PMID: 28025656 DOI: 10.1007/s00259-016-3597-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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9
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Kim JS, Park HE, Park IS, Oh YS, Ryu DW, Song IU, Jung YA, Yoo IR, Choi HS, Lee PH, Lee KS. Normal ‘heart’ in Parkinson's disease: is this a distinct clinical phenotype? Eur J Neurol 2016; 24:349-356. [DOI: 10.1111/ene.13206] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 10/25/2016] [Indexed: 12/16/2022]
Affiliation(s)
- J.-S. Kim
- Department of Neurology; College of Medicine; The Catholic University of Korea; Seoul Korea
| | - H.-E. Park
- Department of Neurology; College of Medicine; The Catholic University of Korea; Seoul Korea
| | - I.-S. Park
- Department of Neurology; College of Medicine; The Catholic University of Korea; Seoul Korea
| | - Y.-S. Oh
- Department of Neurology; College of Medicine; The Catholic University of Korea; Seoul Korea
| | - D.-W. Ryu
- Department of Neurology; College of Medicine; The Catholic University of Korea; Seoul Korea
| | - I.-U. Song
- Department of Neurology; College of Medicine; The Catholic University of Korea; Seoul Korea
| | - Y.-A. Jung
- Department of Nuclear Medicine; College of Medicine; The Catholic University of Korea; Seoul Korea
| | - I. R. Yoo
- Department of Nuclear Medicine; College of Medicine; The Catholic University of Korea; Seoul Korea
| | - H.-S. Choi
- Department of Radiology; College of Medicine; The Catholic University of Korea; Seoul Korea
| | - P. H. Lee
- Department of Neurology; Yonsei University School of Medicine; Seoul Korea
| | - K.-S. Lee
- Department of Neurology; College of Medicine; The Catholic University of Korea; Seoul Korea
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Fiorenzato E, Weis L, Seppi K, Onofrj M, Cortelli P, Zanigni S, Tonon C, Kaufmann H, Shepherd TM, Poewe W, Krismer F, Wenning G, Antonini A, Biundo R. Brain structural profile of multiple system atrophy patients with cognitive impairment. J Neural Transm (Vienna) 2016; 124:293-302. [PMID: 27778099 DOI: 10.1007/s00702-016-1636-0] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2016] [Accepted: 10/17/2016] [Indexed: 02/03/2023]
Abstract
Current consensus diagnostic criteria for multiple system atrophy (MSA) consider dementia a non-supporting feature, although cognitive impairment and even frank dementia are reported in clinical practice. Mini-Mental State Examination (MMSE) is a commonly used global cognitive scale, and in a previous study, we established an MSA-specific screening cut-off score <27 to identify cognitive impairment. Finally, MSA neuroimaging findings suggest the presence of structural alterations in patients with cognitive deficits, although the extent of the anatomical changes is unclear. The aim of our multicenter study is to better characterize anatomical changes associated with cognitive impairment in MSA and to further investigate cortical and subcortical structural differences versus healthy controls (HC). We examined retrospectively 72 probable MSA patients [50 with normal cognition (MSA-NC) and 22 cognitively impaired (MSA-CI) based on MMSE <27] and compared them to 36 HC using gray- and white-matter voxel-based morphometry and fully automated subcortical segmentation. Compared to HC, MSA patients showed widespread cortical (bilateral frontal, occipito-temporal, and parietal areas), subcortical, and white-matter alterations. However, MSA-CI showed only focal volume reduction in the left dorsolateral prefrontal cortex compared with MSA-NC. These results suggest only a marginal contribution of cortical pathology to cognitive deficits. We believe that cognitive dysfunction is driven by focal fronto-striatal degeneration in line with the concept of "subcortical cognitive impairment".
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Affiliation(s)
- Eleonora Fiorenzato
- Parkinson Disease and Movement Disorders Unit, IRCCS San Camillo Hospital Foundation, via Alberoni, 70, 30126, Venice-Lido, Italy. .,Department of General Psychology, University of Padua, via Venezia, 8, 35131, Padua, Italy.
| | - Luca Weis
- Parkinson Disease and Movement Disorders Unit, IRCCS San Camillo Hospital Foundation, via Alberoni, 70, 30126, Venice-Lido, Italy
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Anichstraße, 35, 6020, Innsbruck, Austria
| | - Marco Onofrj
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, via dei Vestini, 33, 66100, Chieti, Italy
| | - Pietro Cortelli
- IRCCS Institute of Neurological Sciences of Bologna, via Altura, 3, 40139, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, via Ugo Foscolo, 7, 40123, Bologna, Italy
| | - Stefano Zanigni
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, via Ugo Foscolo, 7, 40123, Bologna, Italy.,Functional MR Unit, S. Orsola-Malpighi Hospital, via Massarenti, 9, 40138, Bologna, Italy
| | - Caterina Tonon
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, via Ugo Foscolo, 7, 40123, Bologna, Italy.,Functional MR Unit, S. Orsola-Malpighi Hospital, via Massarenti, 9, 40138, Bologna, Italy
| | - Horacio Kaufmann
- Department of Neurology, Dysautonomia Center, New York University, 530 First Avenue, Suite 9Q, New York, NY, 10016, USA
| | - Timothy Michael Shepherd
- Department of Neurology, Dysautonomia Center, New York University, 530 First Avenue, Suite 9Q, New York, NY, 10016, USA
| | - Werner Poewe
- 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
| | - Gregor Wenning
- Department of Neurology, Medical University of Innsbruck, Anichstraße, 35, 6020, Innsbruck, Austria
| | - Angelo Antonini
- Parkinson Disease and Movement Disorders Unit, IRCCS San Camillo Hospital Foundation, via Alberoni, 70, 30126, Venice-Lido, Italy
| | - Roberta Biundo
- Parkinson Disease and Movement Disorders Unit, IRCCS San Camillo Hospital Foundation, via Alberoni, 70, 30126, Venice-Lido, Italy
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A systematic review of lessons learned from PET molecular imaging research in atypical parkinsonism. Eur J Nucl Med Mol Imaging 2016; 43:2244-2254. [PMID: 27470326 PMCID: PMC5047923 DOI: 10.1007/s00259-016-3464-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 07/11/2016] [Indexed: 12/27/2022]
Abstract
PURPOSE To systematically review the previous studies and current status of positron emission tomography (PET) molecular imaging research in atypical parkinsonism. METHODS MEDLINE, ISI Web of Science, Cochrane Library, and Scopus electronic databases were searched for articles published until 29th March 2016 and included brain PET studies in progressive supranuclear palsy (PSP), multiple system atrophy (MSA), and corticobasal syndrome (CBS). Only articles published in English and in peer-reviewed journals were included in this review. Case-reports, reviews, and non-human studies were excluded. RESULTS Seventy-seven PET studies investigating the dopaminergic system, glucose metabolism, microglial activation, hyperphosphorilated tau, opioid receptors, the cholinergic system, and GABAA receptors in PSP, MSA, and CBS patients were included in this review. Disease-specific patterns of reduced glucose metabolism have shown higher accuracy than dopaminergic imaging techniques to distinguish between parkinsonian syndromes. Microglial activation has been found in all forms of atypical parkinsonism and reflects the known distribution of neuropathologic changes in these disorders. Opioid receptors are decreased in the striatum of PSP and MSA patients. Subcortical cholinergic dysfunction was more severe in MSA and PSP than Parkinson's disease patients although no significant changes in cortical cholinergic receptors were seen in PSP with cognitive impairment. GABAA receptors were decreased in metabolically affected cortical and subcortical regions in PSP patients. CONCLUSIONS PET molecular imaging has provided valuable insight for understanding the mechanisms underlying atypical parkinsonism. Changes at a molecular level occur early in the course of these neurodegenerative diseases and PET imaging provides the means to aid differential diagnosis, monitor disease progression, identify of novel targets for pharmacotherapy, and monitor response to new treatments.
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Brooks DJ, Tambasco N. Imaging synucleinopathies. Mov Disord 2016; 31:814-29. [PMID: 26879635 DOI: 10.1002/mds.26547] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 12/18/2015] [Accepted: 12/20/2015] [Indexed: 01/05/2023] Open
Abstract
In this review the structural and functional imaging changes associated with the synucleinopathies PD, MSA, and dementias associated with Lewy bodies are reviewed. The role of imaging for supporting differential diagnosis, detecting subclinical disease, and following disease progression is discussed and its potential use for monitoring disease progression is debated. © 2016 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- David J Brooks
- Dept of Nuclear Medicine, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark.,Dept of Medicine, Imperial College London, London, United Kingdom.,Division of Neurology, Newcastle University, Newcastle, United Kingdom
| | - Nicola Tambasco
- Dept of Neurology, Azienda Ospedaliera e Universitaria di Perugia, Perugia, Italy
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Algarni MA, Stoessl AJ. The role of biomarkers and imaging in Parkinson’s disease. Expert Rev Neurother 2016; 16:187-203. [DOI: 10.1586/14737175.2016.1135056] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Brooks DJ. Imaging of genetic and degenerative disorders primarily causing Parkinsonism. HANDBOOK OF CLINICAL NEUROLOGY 2016; 135:493-505. [PMID: 27432680 DOI: 10.1016/b978-0-444-53485-9.00024-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
In this chapter the structural and functional imaging changes associated with both genetic causes of Parkinson's disease and the sporadic condition are reviewed. The role of imaging for supporting diagnosis and detecting subclinical disease is discussed and the potential use and drawbacks of using imaging biomarkers for monitoring disease progression are debated. Additionally, the use of imaging for differentiating atypical parkinsonian syndromes from Parkinson's disease is presented.
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Affiliation(s)
- David J Brooks
- Department of Medicine, Imperial College London, London, UK.
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Terao Y, Fukuda H, Tokushige S, Inomata-Terada S, Yugeta A, Hamada M, Ichikawa Y, Hanajima R, Ugawa Y. Is multiple system atrophy with cerebellar ataxia (MSA-C) like spinocerebellar ataxia and multiple system atrophy with parkinsonism (MSA-P) like Parkinson's disease? - A saccade study on pathophysiology. Clin Neurophysiol 2015; 127:1491-1502. [PMID: 26350408 DOI: 10.1016/j.clinph.2015.07.035] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2015] [Revised: 07/07/2015] [Accepted: 07/10/2015] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Patients with multiple system atrophy (MSA) are classified into those mainly manifesting cerebellar ataxia (MSA-C) and those mainly manifesting parkinsonism (MSA-P). Pathophysiological bases of these subtypes remain unclear. We hypothesized that MSA-C patients would resemble spinocerebellar degeneration patients and MSA-P patients would resemble Parkinson's disease (PD) patients in saccade abnormalities. METHODS We recorded visually guided and memory guided saccades (MGS) in 27 MSA-C and 15 MSA-P patients, as well as 50 age-matched normal subjects, 14 spinocerebellar degeneration patients showing pure cerebellar symptoms (SCD) and 61 Parkinson's disease (PD) patients. RESULTS Saccade parameters of both tasks showed similar changes with progressing disease in SCD and MSA-C patients, as did those of MSA-C and MSA-P patients, although hypometria was slightly more pronounced in MSA-P. In both subtypes of MSA, latency and success rate of MGS were stable throughout disease stages, whereas they deteriorated progressively with progressing disease in PD. CONCLUSIONS Pathophysiology underlying MSA-C and MSA-P is similar as viewed from saccade performance. The MGS performance in MSA was preserved. However, MSA-P patients showed more marked hypometria, suggesting a mixture of basal ganglia pathophysiology. SIGNIFICANCE The similarity of saccade performance between MSA-C and MSA-P may reflect common olivopontocerebellar pathology, while the direct pathway of the basal ganglia is relatively spared compared with PD, even in MSA-P.
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Affiliation(s)
- Yasuo Terao
- Department of Neurology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
| | | | - Shinnichi Tokushige
- Department of Neurology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Satomi Inomata-Terada
- Department of Neurology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Akihiro Yugeta
- Department of Neurology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Masashi Hamada
- Department of Neurology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | | | - Ritsuko Hanajima
- Department of Neurology, School of Medicine, Kitasato University, Japan
| | - Yoshikazu Ugawa
- Department of Neurology, School of Medicine, Fukushima Medical University, Japan
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Abstract
AIM The aims in this study were to evaluate the role of brain F-FDG PET imaging in differential diagnosis of parkinsonism and to correlate brain metabolism findings with patients' clinical findings. METHODS Brain F-FDG PET images were evaluated both visually and quantitatively using the NeuroQ software in 21 parkinsonism patients in whom final clinical diagnoses were established. RESULTS Final clinical diagnoses were idiopathic Parkinson disease in 7, multisystem atrophy (MSA) in 7, progressive supranuclear palsy (PSP) in 4, corticobasal degeneration in 2, and Lewy body disease in 1 patient. Asymmetrical cortical hypometabolism was observed in most of the patients in frontal and parietotemporal regions. Fifteen of 21 patients had basal ganglia involvement, which was bilateral in patients with MSA and more frequently unilateral in patients with idiopathic Parkinson disease and PSP. Four patients with PSP and 1 patient with corticobasal degeneration had thalamic hypometabolism. Cerebellar hypometabolism was observed in 4 patients with MSA. The Unified Parkinson Disease Rating Scale motor and bradykinesia scores were higher in patients with basal ganglia involvement. CONCLUSIONS Brain F-FDG PET findings in subcortical nuclei and cerebellum were found to be useful in differential diagnosis of patients with parkinsonism. The extent of cerebral cortical and basal ganglia hypometabolism showed correlation with the presentation and severity of clinical findings.
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Garraux G, Phillips C, Schrouff J, Kreisler A, Lemaire C, Degueldre C, Delcour C, Hustinx R, Luxen A, Destée A, Salmon E. Multiclass classification of FDG PET scans for the distinction between Parkinson's disease and atypical parkinsonian syndromes. NEUROIMAGE-CLINICAL 2013; 2:883-93. [PMID: 24179839 PMCID: PMC3778264 DOI: 10.1016/j.nicl.2013.06.004] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2012] [Revised: 06/06/2013] [Accepted: 06/07/2013] [Indexed: 01/21/2023]
Abstract
Most available pattern recognition methods in neuroimaging address binary classification problems. Here, we used relevance vector machine (RVM) in combination with booststrap resampling (‘bagging’) for non-hierarchical multiclass classification. The method was tested on 120 cerebral 18fluorodeoxyglucose (FDG) positron emission tomography (PET) scans performed in patients who exhibited parkinsonian clinical features for 3.5 years on average but that were outside the prevailing perception for Parkinson's disease (PD). A radiological diagnosis of PD was suggested for 30 patients at the time of PET imaging. However, at follow-up several years after PET imaging, 42 of them finally received a clinical diagnosis of PD. The remaining 78 APS patients were diagnosed with multiple system atrophy (MSA, N = 31), progressive supranuclear palsy (PSP, N = 26) and corticobasal syndrome (CBS, N = 21), respectively. With respect to this standard of truth, classification sensitivity, specificity, positive and negative predictive values for PD were 93% 83% 75% and 96%, respectively using binary RVM (PD vs. APS) and 90%, 87%, 79% and 94%, respectively, using multiclass RVM (PD vs. MSA vs. PSP vs. CBS). Multiclass RVM achieved 45%, 55% and 62% classification accuracy for, MSA, PSP and CBS, respectively. Finally, a majority confidence ratio was computed for each scan on the basis of class pairs that were the most frequently assigned by RVM. Altogether, the results suggest that automatic multiclass RVM classification of FDG PET scans achieves adequate performance for the early differentiation between PD and APS on the basis of cerebral FDG uptake patterns when the clinical diagnosis is felt uncertain. This approach cannot be recommended yet as an aid for distinction between the three APS classes under consideration. Multiclass classification is one of the challenges of computer-aided diagnosis. This was addressed here using relevance vector machine and bootstrap aggregation. Performance was tested on FDG-PET scans from 120 parkinsonian patients. Four diagnostic classes under consideration as defined on average 3.5 years after PET. Confusion matrices, majority confidence ratio and discriminant maps were computed.
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Affiliation(s)
- Gaëtan Garraux
- Cyclotron Research Centre, Sart Tilman B30, University of Liège, 4000 Liège, Belgium ; Department of Neurology, University Hospital Centre, Sart Tilman B35, 4000 Liège, Belgium
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Differential diagnosis of parkinsonian syndromes using F-18 fluorodeoxyglucose positron emission tomography. Neuroradiology 2013; 55:483-92. [DOI: 10.1007/s00234-012-1132-7] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2012] [Accepted: 12/14/2012] [Indexed: 10/27/2022]
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Agarwal PA, Stoessl AJ. Biomarkers for trials of neuroprotection in Parkinson's disease. Mov Disord 2012; 28:71-85. [DOI: 10.1002/mds.25065] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2012] [Revised: 04/19/2012] [Accepted: 04/23/2012] [Indexed: 02/06/2023] Open
Affiliation(s)
- Pankaj A. Agarwal
- Pacific Parkinson's Research Centre; University of British Columbia; Vancouver; British Columbia; Canada
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Poston KL, Tang CC, Eckert T, Dhawan V, Frucht S, Vonsattel JP, Fahn S, Eidelberg D. Network correlates of disease severity in multiple system atrophy. Neurology 2012; 78:1237-44. [PMID: 22491861 DOI: 10.1212/wnl.0b013e318250d7fd] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Multiple system atrophy (MSA), the most common of the atypical parkinsonian disorders, is characterized by the presence of an abnormal spatial covariance pattern in resting state metabolic brain images from patients with this disease. Nonetheless, the potential utility of this pattern as a MSA biomarker is contingent upon its specificity for this disorder and its relationship to clinical disability in individual patients. METHODS We used [(18)F]fluorodeoxyglucose PET to study 33 patients with MSA, 20 age- and severity-matched patients with idiopathic Parkinson disease (PD), and 15 healthy volunteers. For each subject, we computed the expression of the previously characterized metabolic covariance patterns for MSA and PD (termed MSARP and PDRP, respectively) on a prospective single-case basis. The resulting network values for the individual patients were correlated with clinical motor ratings and disease duration. RESULTS In the MSA group, disease-related pattern (MSARP) values were elevated relative to the control and PD groups (p < 0.001 for both comparisons). In this group, MSARP values correlated with clinical ratings of motor disability (r = 0.57, p = 0.0008) and with disease duration (r = -0.376, p = 0.03). By contrast, MSARP expression in the PD group did not differ from control values (p = 1.0). In this group, motor ratings correlated with PDRP (r = 0.60, p = 0.006) but not with MSARP values (p = 0.88). CONCLUSIONS MSA is associated with elevated expression of a specific disease-related metabolic pattern. Moreover, differences in the expression of this pattern in patients with MSA correlate with clinical disability. The findings suggest that the MSARP may be a useful biomarker in trials of new therapies for this disorder.
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Affiliation(s)
- K L Poston
- Stanford University Medical Center, Stanford, CA, USA
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Cumming P, Borghammer P. Molecular imaging and the neuropathologies of Parkinson's disease. Curr Top Behav Neurosci 2011; 11:117-48. [PMID: 22034053 DOI: 10.1007/7854_2011_165] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The main motor symptoms of Parkinson's disease (PD) are linked to degeneration of the nigrostriatal dopamine (DA) fibers, especially those innervating the putamen. This degeneration can be assessed in molecular imaging studies with presynaptic tracers such as [(18)F]-fluoro-L-DOPA (FDOPA) and ligands for DA transporter ligands. However, the pathologies of PD are by no means limited to nigrostriatal loss. Results of post mortem and molecular imaging studies reveal parallel degenerations of cortical noradrenaline (NA) and serotonin (5-HT) innervations, which may contribute to affective and cognitive changes of PD. Especially in advanced PD, cognitive impairment can come to resemble that seen in Alzheimer's dementia, as can the degeneration of acetylcholine innervations arising in the basal forebrain. The density of striatal DA D(2) receptors increases in early untreated PD, consistent with denervation upregulation, but there is an accelerated rate of DA receptor loss as the disease advances. Animal studies and post mortem investigations reveal changes in brain opioid peptide systems, but these are poorly documented in imaging studies of PD. Relatively minor changes in the binding sites for GABA are reported in cortex and striatum of PD patients. There remains some controversy about the expression of the 18 kDa translocator protein (TSPO) in activated microglia as an indicator of an active inflammatory component of neurodegeneration in PD. A wide variety of autonomic disturbances contribute to the clinical syndrome of PD; the degeneration of myocardial sympathetic innervation can be revealed in SPECT studies of PD patients with autonomic failure. Considerable emphasis has been placed on investigations of cerebral blood flow and energy metabolism in PD. Due to the high variance of these physiological estimates, researchers have often employed normalization procedures for the sensitive detection of perturbations in relatively small patient groups. However, a widely used normalization to the global mean must be used with caution, as it can result in spurious findings of relative hypermetabolic changes in subcortical structures. A meta-analysis of the quantitative studies to date shows that there is in fact widespread hypometabolism and cerebral blood flow in the cerebral cortex, especially in frontal cortex and parietal association areas. These changes can bias the use of global mean normalization, and probably represent the pathophysiological basis of the cognitive impairment of PD.
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Affiliation(s)
- Paul Cumming
- Department of Nuclear Medicine, Ludwig-Maximilian's University of Munich, Munich, Germany,
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Hirano S, Eckert T, Flanagan T, Eidelberg D. Metabolic networks for assessment of therapy and diagnosis in Parkinson's disease. Mov Disord 2010; 24 Suppl 2:S725-31. [PMID: 19877247 DOI: 10.1002/mds.22541] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Neuroimaging and modern computational techniques like spatial covariance analysis have contributed greatly to the understanding of neural system abnormalities in neurodegenerative disorders such as Parkinson's disease (PD). The application of network analysis to metabolic PET data obtained from patients with PD has led to the identification and validation of two distinct spatial covariance patterns associated with the motor and cognitive manifestations of the disease. Quantifying the activity of these patterns in individual subjects has provided an objective tool for the assessment of treatment efficacy and differential diagnosis. We have found that activity of the PD motor-related network is modulated by antiparkinsonian treatments such as dopaminergic therapy, deep brain stimulation (DBS), and subthalamic nucleus (STN) gene therapy. By contrast, the cognitive-related network is not altered by these interventions for PD motor symptoms. This pattern may however change in response to therapies targeting the cognitive symptoms of this disorder. Recent work has focused on the identification of specific network biomarkers for atypical parkinsonian conditions such as multiple system atrophy (MSA) and progressive supranuclear palsy (PSP). These disease-related patterns can potentially be used in an automated imaging-based algorithm to classify patients with these disorders.
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Affiliation(s)
- Shigeki Hirano
- Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York 11030, USA
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Kuriakose R, Stoessl AJ. Imaging the nigrostriatal system to monitor disease progression and treatment-induced complications. PROGRESS IN BRAIN RESEARCH 2010; 184:177-92. [PMID: 20887875 DOI: 10.1016/s0079-6123(10)84009-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Radiotracer imaging (RTI) techniques such as positron emission tomography (PET) allow the in vivo assessment of nigrostriatal DA function in Parkinson's disease and have provided valuable insights into the mechanisms of nigrostriatal degeneration and the consequent compensatory changes. Moreover, functional imaging serves as an excellent tool in the assessment of the progression of PD and the evolution of treatment-related complications. However, various studies have shown discordance between clinical progression of PD and nigrostriatal degeneration estimated by PET or SPECT, and no RTI technique can be reliably used as a biomarker for progression of PD. Presynaptic dopaminergic imaging has consistently demonstrated an anterior-posterior gradient of dopaminergic dysfunction predominantly affecting the putamen, with side-to-side asymmetry in tracer binding. Dopaminergic hypofunction in the striatum follows a negative exponential pattern with the fastest rate of decline in early disease. Evaluation of central pharmacokinetics of levodopa action by PET has demonstrated the role of increased synaptic dopamine turnover and downregulation of the dopamine transporter in the pathophysiology of levodopa-induced dyskinesias. In PD with behavioral complications such as impulse control disorders, increased levels of dopamine release have been observed in the ventral striatum during performance of a positive reward task, as well as loss of deactivation in orbitofrontal cortex in response to negative reward prediction errors. This suggests that there is a pathologically heightened "reward" response in the ventral striatum together with loss of the capacity to respond to negative outcomes. Overall, functional imaging with PET is an excellent tool for understanding the disease and its complications; however, caution must be applied in interpretation of the results.
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Affiliation(s)
- Renju Kuriakose
- Pacific Parkinson’s Research Centre, University of British Columbia and Vancouver Coastal Health, Vancouver, BC, Canada
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Afección del sistema nervioso central en el síndrome de Sjögren primario. Med Clin (Barc) 2009; 133:349-59. [PMID: 19376547 DOI: 10.1016/j.medcli.2008.12.027] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2008] [Accepted: 12/10/2008] [Indexed: 11/23/2022]
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Spetsieris PG, Ma Y, Dhawan V, Eidelberg D. Differential diagnosis of parkinsonian syndromes using PCA-based functional imaging features. Neuroimage 2009; 45:1241-52. [PMID: 19349238 DOI: 10.1016/j.neuroimage.2008.12.063] [Citation(s) in RCA: 60] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2008] [Revised: 12/19/2008] [Accepted: 12/23/2008] [Indexed: 10/21/2022] Open
Abstract
In the current paper, we describe methodologies for single subject differential diagnosis of degenerative brain disorders using multivariate principal component analysis (PCA) of functional imaging scans. An automated routine utilizing these methods is applied to positron emission tomography (PET) brain data to distinguish several discrete parkinsonian movement disorders with similar clinical manifestations. Disease specific expressions of voxel-based spatial covariance patterns are predetermined using the Scaled Subprofile Model (SSM/PCA) and a scalar measure of the manifestation of each pattern in prospective subject images is subsequently derived. Scores are automatically compared to reference values generated for each pathological condition in a corresponding set of patient and control scans. Diagnostic outcome is optimized using strategies such as the derivation of patterns in a voxel subspace that reflects contrasting image characteristics between conditions, or by using an independent patient population as controls. The prediction models for two, three and four way classification problems using direct scalar comparison as well as classical discriminant analysis are assessed in a composite training population comprised of three different patient classes and normal controls, and validated in a similar independent test population. Results illustrate that highly accurate diagnosis can often be achieved by simple comparison of scores utilizing optimized patterns.
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Affiliation(s)
- Phoebe G Spetsieris
- Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore-LIJ Health System, 350 Community Drive, Manhasset, NY 11030, USA
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Abstract
This short review focuses on practical, present day, clinical application of FDG PET, a technology available to practicing neurologists for managing their patients. Indications in the disease states of dementia, neuro-oncology, epilepsy, parkinsonism, and other less common settings are reviewed. Many third-party payers currently make reimbursements based on these indications. By measuring an aspect of brain function, PET provides information that often is unobtainable from other sources, thus facilitating more rationale and cost-effective management, which can only benefit the patient, the referring physician, and the health care system as a whole.
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Affiliation(s)
- Robert S Miletich
- Department of Nuclear Medicine, School of Medicine and Biomedical Sciences, State University of New York at Buffalo, NY 14214, USA.
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Abstract
BACKGROUND It has been almost 4 decades since the descriptions of the 3 parts of multiple system atrophy (MSA) have taken place, characterized clinically by dysautonomia, parkinsonism, and cerebellar dysfunction. The discovery of a distinctive pathologic maker has finally provided the conceptual synthesis of these 3 entities into the universal designation of MSA as a distinct disease process with a complex combination of clinical presentations. Although advances have been made in terms of awareness and knowledge concerning the clinical features and pathophysiology of MSA, it remains challenging for neurologists who treat these patients to differentiate MSA from its mimics as well as providing them with effective treatment. REVIEW SUMMARY The aim of this review is to provide an overview of the advances in the knowledge of the disease, to highlight typical features useful for the recognition of its entity, and to enlist different treatment options. CONCLUSION Despite the fact that there is still no treatment modality that can alter the disease progression, a number of useful symptomatic treatment measures are available and should be offered to patients to ameliorate the nonmotor features of MSA and even the motor features that may at least transiently respond to treatment.
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Feng T, Wang Y, Ouyang Q, Duan Z, Li W, Lu L, Xiang W. Comparison of cerebral glucose metabolism between multiple system atrophy Parkinsonian type and Parkinson's disease. Neurol Res 2008; 30:377-82. [PMID: 18544255 DOI: 10.1179/174313208x300396] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
Abstract
OBJECTIVE To investigate the difference in the regional cerebral glucose metabolism between multiple system atrophy Parkinsonian type (MSA-P) and Parkinson's disease (PD). MATERIAL AND METHODS Fifteen patients with MSA-P, 32 patients with PD and eight cases of healthy control underwent positron emission tomography (PET) with (18)F-fluorodeoxyglucose ((18)F-FDG) showing glucose metabolism. Glucose metabolism ratios of various cerebral regions were compared as an indicator of regional cerebral glucose metabolic patterns. RESULTS The metabolism ratios of frontal lobe/occipital lobe, parietal lobe/occipital lobe, temporal lobe/occipital lobe and corpus striatum/occipital lobe in patients with MSA-P were lower than those in patients with PD and control, respectively (p<0.01). For patients with MSAP, the metabolism ratio in thalamus was higher than those in lenticular nucleus and anterior cortical brain, respectively (p<0.01) and the changes of metabolism ratio in cortex, corpus striatum and thalamus were symmetric. For patients with PD, the metabolism ratio in corpus striatum was higher than that in thalamus and two side of the basal ganglia show asymmetric change of metabolism (p<0.01). CONCLUSION This study suggests that significant differences exist in the patterns of regional cerebral glucose metabolism between MSA-P and PD. (18)F-FDG PET might be a useful adjunctive method for differential diagnosis between MSA-P and PD.
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Affiliation(s)
- Tao Feng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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Borghammer P, Jonsdottir KY, Cumming P, Ostergaard K, Vang K, Ashkanian M, Vafaee M, Iversen P, Gjedde A. Normalization in PET group comparison studies--the importance of a valid reference region. Neuroimage 2008; 40:529-540. [PMID: 18258457 DOI: 10.1016/j.neuroimage.2007.12.057] [Citation(s) in RCA: 73] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2007] [Revised: 11/28/2007] [Accepted: 12/20/2007] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION In positron emission tomography (PET) studies of cerebral blood flow (CBF) and metabolism, the large interindividual variation commonly is minimized by normalization to the global mean prior to statistical analysis. This approach requires that no between-group or between-state differences exist in the normalization region. Given the variability typical of global CBF and the practical limit on sample size, small group differences in global mean easily elude detection, but still bias the comparison, with profound consequences for the physiological interpretation of the results. MATERIALS AND METHODS Quantitative [15O]H2O PET recordings of CBF were obtained in 45 healthy subjects (21-81 years) and 14 patients with hepatic encephalopathy (HE). With volume-of-interest (VOI) and voxel-based statistics, we conducted regression analyses of CBF as function of age in the healthy group, and compared the HE group to a subset of the controls. We compared absolute CBF values, and CBF normalized to the gray matter (GM) and white matter (WM) means. In additional simulation experiments, we manipulated the cortical values of 12 healthy subjects and compared these to unaltered control data. RESULTS In healthy aging, CBF was shown to be unchanged in WM and central regions. In contrast, with normalization to the GM mean, CBF displayed positive correlation with age in the central regions. Very similar artifactual increases were seen in the HE comparison and also in the simulation experiment. CONCLUSION Ratio normalization to the global mean readily elevates CBF in unchanged regions when a systematic between-group difference exists in gCBF, also when this difference is below the detection threshold. We suggest that the routine normalization to the global mean in earlier studies resulted in spurious interpretations of perturbed CBF. Normalization to central WM yields less biased results in aging and HE and could potentially serve as a normalization reference region in other disorders as well.
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Affiliation(s)
- Per Borghammer
- PET center, Aarhus University Hospitals, Denmark; Center of Functionally Integrative Neuroscience (CFIN), Aarhus University, Denmark.
| | | | - Paul Cumming
- Center of Functionally Integrative Neuroscience (CFIN), Aarhus University, Denmark
| | | | - Kim Vang
- PET center, Aarhus University Hospitals, Denmark
| | - Mahmoud Ashkanian
- Center of Functionally Integrative Neuroscience (CFIN), Aarhus University, Denmark
| | - Manoucher Vafaee
- Center of Functionally Integrative Neuroscience (CFIN), Aarhus University, Denmark
| | - Peter Iversen
- PET center, Aarhus University Hospitals, Denmark; Department of Internal Medicine (V), Aarhus University Hospitals, Denmark
| | - Albert Gjedde
- PET center, Aarhus University Hospitals, Denmark; Center of Functionally Integrative Neuroscience (CFIN), Aarhus University, Denmark
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Eckert T, Tang C, Ma Y, Brown N, Lin T, Frucht S, Feigin A, Eidelberg D. Abnormal metabolic networks in atypical parkinsonism. Mov Disord 2008; 23:727-33. [PMID: 18186116 DOI: 10.1002/mds.21933] [Citation(s) in RCA: 126] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Thomas Eckert
- Department of Neurology II, University of Magdeburg, Germany
- Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore‐Long Island Jewish Health System, Manhasset, New York, USA
| | - Chengke Tang
- Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore‐Long Island Jewish Health System, Manhasset, New York, USA
| | - Yilong Ma
- Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore‐Long Island Jewish Health System, Manhasset, New York, USA
- Departments of Neurology and Medicine, New York University School of Medicine, New York, New York, USA
| | - Nathaniel Brown
- Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore‐Long Island Jewish Health System, Manhasset, New York, USA
| | - Tanya Lin
- Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore‐Long Island Jewish Health System, Manhasset, New York, USA
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Steven Frucht
- Movement Disorders Center, Neurologic Institute, Columbia University, New York, New York, USA
| | - Andrew Feigin
- Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore‐Long Island Jewish Health System, Manhasset, New York, USA
- Departments of Neurology and Medicine, New York University School of Medicine, New York, New York, USA
| | - David Eidelberg
- Center for Neurosciences, The Feinstein Institute for Medical Research, North Shore‐Long Island Jewish Health System, Manhasset, New York, USA
- Departments of Neurology and Medicine, New York University School of Medicine, New York, New York, USA
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Ma Y, Eidelberg D. Functional imaging of cerebral blood flow and glucose metabolism in Parkinson's disease and Huntington's disease. Mol Imaging Biol 2007; 9:223-33. [PMID: 17334854 PMCID: PMC4455550 DOI: 10.1007/s11307-007-0085-4] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Brain imaging of cerebral blood flow and glucose metabolism has been playing key roles in describing pathophysiology of Parkinson's disease (PD) and Huntington's disease (HD), respectively. Many biomarkers have been developed in recent years to investigate the abnormality in molecular substrate, track the time course of disease progression, and evaluate the efficacy of novel experimental therapeutics. A growing body of literature has emerged on neurobiology of these two movement disorders in resting states and in response to brain activation tasks. In this paper, we review the latest applications of these approaches in patients and normal volunteers at rest conditions. The discussions focus on brain mapping studies with univariate and multivariate statistical analyses on a voxel basis. In particular, we present data to validate the reproducibility and reliability of unique spatial covariance patterns related with PD and HD.
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Affiliation(s)
- Yilong Ma
- Center for Neurosciences, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, New York University School of Medicine, Manhasset, NY, USA.
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Early detection of Parkinson's disease. ACTA ACUST UNITED AC 2007. [DOI: 10.1016/s0072-9752(07)83021-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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Van Heertum RL, Ichise M. Brain. Clin Nucl Med 2007. [DOI: 10.1007/978-3-540-28026-2_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Sarikaya I, Apaydin H, Topal U, Karaoglan O. Cyanide-induced parkinsonism and F-18 FDG PET/CT findings. Clin Nucl Med 2006; 31:363-4. [PMID: 16714905 DOI: 10.1097/01.rlu.0000219168.92370.77] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- I Sarikaya
- PET/CT Unit, DiagnaMed Imaging Center, Istanbul, Turkey.
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Cilia R, Marotta G, Benti R, Pezzoli G, Antonini A. Brain SPECT imaging in multiple system atrophy. J Neural Transm (Vienna) 2006; 112:1635-45. [PMID: 16284908 DOI: 10.1007/s00702-005-0382-5] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2005] [Accepted: 09/13/2005] [Indexed: 12/30/2022]
Abstract
Clinical diagnosis of multiple system atrophy (MSA) relays on signs and symptoms that are often difficult to identify particularly at early stage. Indeed neuropathological studies have demonstrated that MSA is the first cause of misdiagnosis in a cohort of patients presenting with parkinsonian features. Dopamine transporter imaging (DAT) shows striatal decrements in both MSA and Parkinson's disease (PD) making it not sensitive for differential diagnosis. Studies of dopamine D2 receptors with IBZM may help revealing striatal degeneration but a large overlap exist particularly if PD patients with advanced disease are included. We have measured brain flow with technetium-99m ethyl cysteinate dimer (ECD-SPECT) in 36 MSA patients and compared it with 43 PD and 39 age-matched controls. Using Statistical Parametric Mapping (SPM99) we found areas of significant reduced perfusion in the striatum, brain stem and cerebellum in MSA compared to the other groups. We believe that ECD-SPECT imaging may offer significant advantages compared to other imaging techniques in the assessment of neuronal degeneration in MSA and may help the clinician in the diagnostic characterization of patients presenting with atypical parkinsonism.
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Affiliation(s)
- R Cilia
- Parkinson Institute, Instituti Clinici di Perfezionamento, Milan, Italy
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Suchowersky O, Reich S, Perlmutter J, Zesiewicz T, Gronseth G, Weiner WJ. Practice Parameter: diagnosis and prognosis of new onset Parkinson disease (an evidence-based review): report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology 2006; 66:968-75. [PMID: 16606907 DOI: 10.1212/01.wnl.0000215437.80053.d0] [Citation(s) in RCA: 161] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To define key issues in the diagnosis of Parkinson disease (PD), to define features influencing progression, and to make evidence-based recommendations. Two clinical questions were identified: 1) Which clinical features and diagnostic modalities distinguish PD from other parkinsonian syndromes? 2) Which clinical features predict rate of disease progression? METHODS Systematic review of the literature was completed. Articles were classified according to a four-tiered level of evidence scheme. Recommendations were based on the evidence. RESULTS AND CONCLUSIONS 1. Early falls, poor response to levodopa, symmetry of motor manifestations, lack of tremor, and early autonomic dysfunction are probably useful in distinguishing other parkinsonian syndromes from Parkinson disease (PD). 2. Levodopa or apomorphine challenge and olfactory testing are probably useful in distinguishing PD from other parkinsonian syndromes. 3. Predictive factors for more rapid motor progression, nursing home placement, and shorter survival time include older age at onset of PD, associated comorbidities, presentation with rigidity and bradykinesia, and decreased dopamine responsiveness. Future research into methods for earlier and more accurate diagnosis of the disease and identification and clarification of predictive factors of rapid disease progression is warranted.
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Abstract
The correct diagnosis of Parkinson's disease is important for prognostic and therapeutic reasons and is essential for clinical research. Investigations of the diagnostic accuracy for the disease and other forms of parkinsonism in community-based samples of patients taking antiparkinsonian medication confirmed a diagnosis of parkinsonism in only 74% of patients and clinically probable Parkinson's disease in 53% of patients. Clinicopathological studies based on brain bank material from the UK and Canada have shown that clinicians diagnose the disease incorrectly in about 25% of patients. In these studies, the most common reasons for misdiagnosis were presence of essential tremor, vascular parkinsonism, and atypical parkinsonian syndromes. Infrequent diagnostic errors included Alzheimer's disease, dementia with Lewy bodies, and drug-induced parkinsonism. Increasing knowledge of the heterogeneous clinical presentation of the various parkinsonisms has resulted in improved diagnostic accuracy of the various parkinsonian syndromes in specialised movement-disorder units. Also genetic testing and various other ancillary tests, such as olfactory testing, MRI, and dopamine-transporter single-photon-emission computed-tomography imaging, help with clinical diagnostic decisions.
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Affiliation(s)
- Eduardo Tolosa
- Neurology Service, Hospital Clinic, University of Barcelona, Barcelona, Spain.
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41
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Abstract
In this review, we discuss the role of neuroimaging in assessing treatment options for movement disorders, particularly Parkinson's disease (PD). Imaging methods to assess dopaminergic function have recently been applied in trials of potential neuroprotective agents. Other imaging methods using regional metabolism and/or cerebral perfusion have been recently introduced to quantify the modulation of network activity as an objective marker of the treatment response. Both imaging strategies have provided novel insights into the mechanisms underlying a variety of pharmacological and stereotaxic surgical treatment strategies for PD and other movement disorders.
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Affiliation(s)
- Thomas Eckert
- Department of Neurology II and Psychiatry, University of Magdeburg, Germany
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42
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Eckert T, Barnes A, Dhawan V, Frucht S, Gordon MF, Feigin AS, Eidelberg D. FDG PET in the differential diagnosis of parkinsonian disorders. Neuroimage 2005; 26:912-21. [PMID: 15955501 DOI: 10.1016/j.neuroimage.2005.03.012] [Citation(s) in RCA: 255] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2004] [Revised: 02/03/2005] [Accepted: 03/02/2005] [Indexed: 11/15/2022] Open
Abstract
The differential diagnosis of parkinsonian disorders can be challenging, especially early in the disease course. PET imaging with [(18)F]-fluorodeoxyglucose (FDG) has been used to identify characteristic patterns of regional glucose metabolism in patient cohorts with idiopathic Parkinson's disease (PD), as well as variant forms of parkinsonism such as multiple system atrophy (MSA), progressive supranuclear palsy (PSP), and corticobasal degeneration (CBGD). In this study, we assessed the utility of FDG PET in the differential diagnosis of individual patients with clinical parkinsonism. 135 parkinsonian patients were referred for FDG PET to determine whether their diagnosis could be made accurately based upon their scans. Imaging-based diagnosis was obtained by visual assessment of the individual scans and also by computer-assisted interpretation. The results were compared with 2-year follow-up clinical assessments made by independent movement disorders specialists who were blinded to the original PET findings. We found that blinded computer assessment agreed with clinical diagnosis in 92.4% of all subjects (97.7% early PD, 91.6% late PD, 96% MSA, 85% PSP, 90.1% CBGD, 86.5% healthy control subjects). Concordance of visual inspection with clinical diagnosis was achieved in 85.4% of the patients scanned (88.4% early PD, 97.2% late PD, 76% MSA, 60% PSP, 90.9% CBGD, 90.9% healthy control subjects). This study demonstrates that FDG PET performed at the time of initial referral for parkinsonism accurately predicted the clinical diagnosis of individual patients made at subsequent follow-up. Computer-assisted methodologies may be particularly helpful in situations where experienced readers of FDG PET images are not readily available.
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Affiliation(s)
- Thomas Eckert
- Center for Neurosciences, Institute for Medical Research, North Shore Long-Island Jewish Health System, Manhasset, NY 11030, USA
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43
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Lee PH, Lee JS, Shin DH, Kim BM, Huh K. Parkinsonism as an initial manifestation of dural arteriovenous fistula. Eur J Neurol 2005; 12:403-6. [PMID: 15804274 DOI: 10.1111/j.1468-1331.2004.00955.x] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Parkinsonism associated with dural arteriovenous fistula (DAVF) has been described rarely; however, isolated parkinsonism as the presenting symptom of DAVF has not been reported. Here, we describe a patient with DAVF showing reversible isolated parkinsonism after embolization, which was well correlated with perfusion status of basal ganglia, suggesting that a perfusion defect was responsible for the pathogenesis of the parkinsonism in our DAVF patient.
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Affiliation(s)
- P H Lee
- Department of Neurology, College of Medicine, Ajou University, Wonchon-dong, Suwon, South Korea.
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44
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Zgaljardic DJ, Feigin A. Neuroimaging of Parkinson's disease and atypical parkinsonism. Curr Neurol Neurosci Rep 2004; 4:284-9. [PMID: 15217542 DOI: 10.1007/s11910-004-0053-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The basal ganglia and its associated circuitry can be assessed with a variety of neuroimaging methods that can provide information regarding specific neurotransmitter systems, the functional activity of brain regions, and the structural integrity of these regions. In Parkinson's disease (PD) and related atypical parkinsonian syndromes (APS), these imaging methods may be useful for many reasons, including aiding in differential diagnosis and measuring the efficacy of new therapies. This paper reviews recent developments in the application of neuroimaging to the assessment of PD and related APS.
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Affiliation(s)
- Dennis J Zgaljardic
- Center for Neurosciences, North Shore-Long Island Jewish Research Institute, 350 Community Drive, Manhasset, NY 11030, USA.
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45
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Zonenshayn M, Sterio D, Kelly PJ, Rezai AR, Beric A. Location of the active contact within the subthalamic nucleus (STN) in the treatment of idiopathic Parkinson's disease. ACTA ACUST UNITED AC 2004; 62:216-25; discussion 225-6. [PMID: 15336862 DOI: 10.1016/j.surneu.2003.09.039] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2003] [Accepted: 09/22/2003] [Indexed: 11/21/2022]
Abstract
BACKGROUND Chronic electrical stimulation of the subthalamic nucleus (STN) has been shown to be safe and effective in the treatment of medically refractory idiopathic Parkinson's disease. The clinically most relevant location of stimulation within the physiologically defined STN has not been confirmed. We reviewed the locations of active electrical contacts in 33 patients who underwent simultaneous bilateral STN deep brain stimulator (DBS) implantation. METHODS The location of the microelectrode-defined dorsal STN border was compared to the location of the center of the active contact(s) employed in achieving optimal clinical results 6 to 18 months postoperatively. Furthermore, the location of this optimal contact was determined with respect to each individual patient's midcommissural point. Bilateral monopolar stimulation was employed in 30 patients using quadripolar DBS electrodes. RESULTS After a minimum follow-up period of 6 months, the motor subscores (UPDRS Part III) in the postoperative on-stimulation/off-medication state were 64 +/- 18% (mean +/- SD) improved as compared to the preoperative off-medication state (p < 0.01). Additionally, an improvement of 53 +/- 38% was noted when comparing the postoperative on-stimulation/on-medication state to the preoperative on-medication state (p < 0.01). On average, the center of the optimal contact was 13.3 mm lateral, 0.5 mm posterior, 0.1 mm inferior to the mid-commissural point and was 0.1 +/- 2.1 mm dorsal to the physiologically defined dorsal STN border. CONCLUSIONS While the achieved clinical results are comparable to those published in the literature, it appears that monopolar electrical stimulation at the anterior dorsolateral border of the STN yields optimal clinical results. Further studies are crucial in determining the precise mechanism of various modes of DBS in an effort to maximize clinical outcome.
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Affiliation(s)
- Martin Zonenshayn
- New York University Center for Functional and Restorative Neurosurgery, New York, New York, USA
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46
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Abstract
Factors that place constraints on radio-chemists who are seeking to design and develop radiopharmaceuticals for PET imaging studies include the short half-lives of 11C and 18F, minimum radiochemical yield and specific activity requirements, and high radiation fields that are associated with multi-Curie quantities of PET radionuclides. Nevertheless, during the past 20 years, considerable progress has been made in the development and application of a variety of PET radiotracers for a range of imaging studies in human subjects. We have highlighted a few areas of radiochemistry that focused on PET radiotracers that are described in this issue. Although the number of PET radiotracers synthesized is in the hundreds [6], much work remains to develop specific and useful PET radiotracers for a host of new and exciting noninvasive imaging applications.
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Affiliation(s)
- N Scott Mason
- Positron Emission Tomography Facility, Department of Radiology, University of Pittsburgh, B-938, UPMC Presbyterian, 200 Lothrop Street, Pittsburgh, PA 15213-2582, USA.
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47
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Eckert T, Sailer M, Kaufmann J, Schrader C, Peschel T, Bodammer N, Heinze HJ, Schoenfeld MA. Differentiation of idiopathic Parkinson's disease, multiple system atrophy, progressive supranuclear palsy, and healthy controls using magnetization transfer imaging. Neuroimage 2004; 21:229-35. [PMID: 14741660 DOI: 10.1016/j.neuroimage.2003.08.028] [Citation(s) in RCA: 122] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The differentiation of multiple system atrophy (MSA) and progressive supranuclear palsy (PSP) from idiopathic Parkinson's disease (IPD) is difficult. Magnetization transfer imaging (MTI), a measure that correlates with myelination and axonal density, was employed in this study in the attempt to distinguish between these disorders. Measurements were carried out in 15 patients with IPD, 12 patients with MSA, 10 patients with PSP, and in 20 aged-matched healthy control subjects. The main finding was a change in the magnetization transfer ratio in the globus pallidus, putamen, caudate nucleus, substantia nigra, and white matter in IPD, MSA, and PSP patients, matching the pathological features of the underlying disorder. Furthermore, stepwise linear discriminant analysis provided a good classification of the individual patients into the different disease groups. All IPD patients and control subjects were correctly separated from the MSA and PSP cohort, and all PSP patients and 11 of 12 MSA patients were correctly separated from the IPD and control cohort. There was also a fairly good discrimination of IPD patients from control subjects and of MSA from PSP patients. In conclusion, MTI revealed degenerative changes in patients with different parkinsonian syndromes matching the underlying pathological features of the different diseases, underlining the high potential of this method in distinguishing MSA and PSP from IPD.
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Affiliation(s)
- Thomas Eckert
- Department of Neurology II, University of Magdeburg, 39120, Magdeburg, Germany.
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48
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Abstract
Multiple system atrophy (MSA) is a sporadic neurodegenerative disorder characterised clinically by any combination of parkinsonian, autonomic, cerebellar, or pyramidal signs and pathologically by cell loss, gliosis, and glial cytoplasmic inclusions in several CNS structures. Owing to the recent advances in its molecular pathogenesis, MSA has been firmly established as an alpha-synucleinopathy along with other neurodegenerative diseases. In parallel, the clinical recognition of MSA has improved and the recent consensus diagnostic criteria have been widely established in the research community as well as movement disorders clinics. Although the diagnosis of this disorder is largely based on clinical expertise, several investigations have been proposed in the past decade to assist in early differential diagnosis. Symptomatic therapeutic strategies are still limited; however, several candidate neuroprotective agents have entered phase II and phase III clinical trials.
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Affiliation(s)
- Gregor K Wenning
- Department of Neurology, University Hospital, A-6020 Innsbruck, Austria
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49
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Brownell AL, Canales K, Chen YI, Jenkins BG, Owen C, Livni E, Yu M, Cicchetti F, Sanchez-Pernaute R, Isacson O. Mapping of brain function after MPTP-induced neurotoxicity in a primate Parkinson's disease model. Neuroimage 2003; 20:1064-75. [PMID: 14568476 DOI: 10.1016/s1053-8119(03)00348-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2002] [Revised: 06/01/2003] [Accepted: 06/03/2003] [Indexed: 01/28/2023] Open
Abstract
Neurophysiological studies of the brain in normal and Parkinson's disease (PD) patients have indicated intricate connections for basal ganglia-induced control of signaling into the motor cortex. To investigate if similar mechanisms are controlling function in the primate brain (Macaca fascicularis) after MPTP-induced neurotoxicity, we conducted PET studies of cerebral blood flow, oxygen and glucose metabolism, dopamine transporter, and D2 receptor function. Our observations after MPTP-induced dopamine terminal degeneration of the caudate and putamen revealed increased blood flow (15%) in the globus pallidus (GP), while blood flow was moderately decreased (15-25%) in the caudate, putamen, and thalamus and 40 % in the primary motor cortex (PMC). Oxygen extraction fraction was moderately increased (10-20%) in other brain areas but the thalamus, where no change was observable. Oxygen metabolism was increased in the GP and SMA (supplementary motor area including premotor cortex, Fig. 3) by a range of 20-40% and decreased in the putamen and caudate and in the PMC. Glucose metabolism was decreased in the caudate, putamen, thalamus, and PMC (range 35-50%) and enhanced in the GP by 15%. No change was observed in the SMA. In the parkinsonian primate, [(11)C]CFT (2beta-carbomethoxy-3beta-(4-fluorophenyltropane) dopamine transporter binding was significantly decreased in the putamen and caudate (range 60-65%). [(11)C]Raclopride binding of dopamine D(2) receptors did not show any significant changes. These experimental results obtained in primate studies of striato-thalamo-cortico circuitry show a similar trend as hypothetized in Parkinson's disease-type degeneration.
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Affiliation(s)
- Anna Liisa Brownell
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
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50
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Brenneis C, Seppi K, Schocke MF, Müller J, Luginger E, Bösch S, Löscher WN, Büchel C, Poewe W, Wenning GK. Voxel-based morphometry detects cortical atrophy in the Parkinson variant of multiple system atrophy. Mov Disord 2003; 18:1132-8. [PMID: 14534916 DOI: 10.1002/mds.10502] [Citation(s) in RCA: 135] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
To determine magnetic resonance imaging (MRI) patterns of brain atrophy in parkinsonian syndromes, we applied voxel-based morphometry (VBM) to segmented gray matter, white matter, and cerebrospinal fluid compartments of T(1)-weighted brain volumes of 12 patients with probable multiple system atrophy-parkinson variant (MSA-P) and 12 Parkinson's disease patients, comparing them with 12 normal controls matched for age. In comparison to controls, a cortical atrophy pattern was observed in MSA-P patients with significant clusters of volume loss in primary sensorimotor cortices bilateral, supplementary motor areas bilateral, right premotor cortex, prefrontal cortex bilateral (middle frontal gyri) and insular cortices bilateral; subcortical atrophy occurred bilaterally in caudate nuclei and putamen as well as in the midbrain. Furthermore, an enlargement of the cerebrospinal fluid compartment was found in the lateral ventricles, third ventricle, perimesencephalic and cerebellomedullar cavities. In PD patients, significant atrophy only occurred in left caudate head with enlargement of left lateral ventricle. Comparing MSA-P to PD patients, MSA-P showed a similar cortical pattern of atrophy as compared to controls. We conclude that VBM reveals selective cortical atrophy in patients with MSA-P affecting primary and higher order motor areas as well as prefrontal and insular cortices. Further studies are required to determine clinical and/or subclinical correlates of cortical atrophy in MSA-P.
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