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Background: Recent studies using resting-state functional connectivity and machine-learning to distinguish patients with neurodegenerative diseases from other groups of subjects show promising results. This approach has not been tested to discriminate between Parkinson's disease (PD) and multiple system atrophy (MSA) patients., Objectives: Our first aim is to characterize possible abnormalities in resting-state functional connectivity between the cerebellum and a set of intrinsic-connectivity brain networks and between the cerebellum and different regions of the striatum in PD and MSA. The second objective of this study is to assess the potential of cerebellar connectivity measures to distinguish between PD and MSA patients at the single-patient level., Methods: Fifty-nine healthy controls, 62 PD patients, and 30 MSA patients underwent resting-state functional MRI with a 3T scanner. Independent component analysis and dual regression were used to define seven resting-state networks of interest. To assess striatal connectivity, a seed-to-voxel approach was used after dividing the striatum into six regions bilaterally. Measures of cerebellar-brain network and cerebellar-striatal connectivity were then used as features in a support vector machine to discriminate between PD and MSA patients., Results: MSA patients displayed reduced cerebellar connectivity with different brain networks and with the striatum compared with PD patients and with controls. The classification procedure achieved an overall accuracy of 77.17% with 83.33% of the MSA subjects and 74.19% of the PD patients correctly classified., Conclusion: Our findings suggest that measures of cerebellar functional connectivity have the potential to distinguish between PD and MSA patients., (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Multimodal MRI approach is based on a combination of MRI parameters sensitive to different tissue characteristics (eg, volume atrophy, iron deposition, and microstructural damage). The main objective of the present study was to use a multimodal MRI approach to identify brain differences that could discriminate between matched groups of patients with multiple system atrophy, Parkinson's disease, and healthy controls. We assessed the 2 different MSA variants, namely, MSA-P, with predominant parkinsonism, and MSA-C, with more prominent cerebellar symptoms., Methods: Twenty-six PD patients, 29 MSA patients (16 MSA-P, 13 MSA-C), and 26 controls underwent 3-T MRI comprising T2*-weighted, T1-weighted, and diffusion tensor imaging scans. Using whole-brain voxel-based MRI, we combined gray-matter density, T2* relaxation rates, and diffusion tensor imaging scalars to compare and discriminate PD, MSA-P, MSA-C, and healthy controls., Results: Our main results showed that this approach reveals multiparametric modifications within the cerebellum and putamen in both MSA-C and MSA-P patients, compared with PD patients. Furthermore, our findings revealed that specific single multimodal MRI markers were sufficient to discriminate MSA-P and MSA-C patients from PD patients. Moreover, the unsupervised analysis based on multimodal MRI data could regroup individuals according to their clinical diagnosis, in most cases., Conclusions: This study demonstrates that multimodal MRI is able to discriminate patients with PD from those with MSA with high accuracy. The combination of different MR biomarkers could be a great tool in early stage of disease to help diagnosis. © 2018 International Parkinson and Movement Disorder Society., (© 2018 International Parkinson and Movement Disorder Society.)

Objectives: Parkinson disease (PD), multiple system atrophy (MSA), and pure autonomic failure (PAF) involve cytoplasmic deposition of α-synuclein and are considered to be synucleinopathies. Approximately 40% of patients with PD, most patients with MSA, and all patients with PAF have neurogenic orthostatic hypotension (OH). This study compared long-term survival in these synucleinopathies., Methods: In this prospective cohort study, survival data were obtained for 97.6% of 206 referred patients evaluated between 1994 and 2014 (47 PD + OH, 54 PD no OH, 15 cerebellar MSA [MSA-C], 57 parkinsonian MSA [MSA-P], 28 PAF). Individual diagnoses were confirmed by clinical criteria and results of pharmacologic, neurochemical, and neuroimaging tests of sympathetic noradrenergic innervation. The Cox proportional hazard model was used to calculate hazard ratios (HRs) from symptom onset and from time of evaluation to death., Results: Patients with MSA-C or MSA-P had shorter survival from symptom onset than did patients with PD + OH (age- and sex-adjusted HR = 6.1, 5.6; p < 0.0001 each), PAF (HR = 10.8, 9.9; p < 0.0001 each) or PD no OH (HR = 14.9, 13.6; p < 0.0001 each). Among parkinsonian patients who died, median times from motor onset to death were 7.5 years in MSA-P, 11.6 years in PD + OH, and 15.8 years in PD no OH. Probabilities of survival for 10 years from onset of relevant symptoms were 0.39 in MSA-C, 0.33 in MSA-P, 0.74 in PD + OH, 0.87 in PAF, and 0.93 in PD no OH., Conclusions: In synucleinopathies, survival depends on the particular disease, with the risk of death greater in MSA-P than in PD + OH and in PD + OH than in PD no OH., (© 2015 American Academy of Neurology.)

Orthostatic hypotension (OH) is a cardinal feature of autonomic failure in multiple system atrophy (MSA); however, there are few comparative data on OH in the motor subtypes of MSA. In the present retrospective study, postural blood pressure drop after 3 min of standing was determined in 16 patients with the cerebellar variant of MSA (MSA-C) and in 17 patients with the Parkinson variant (MSA-P). Twenty idiopathic Parkinson's disease (IPD) patients matched for age, sex, disease duration and dopaminergic therapy served as control group. OH frequency and severity were more pronounced in MSA-C followed by MSA-P and IPD. Differences in brainstem pathology are likely to account for the tight association of MSA-C and OH. A simple standing test should be obligatory in the work-up of patients with sporadic late-onset ataxias.

The clinical diagnosis of multiple system atrophy (MSA) is fraught with difficulty and there are no pathognomonic features to discriminate the parkinsonian variant (MSA-P) from Parkinson's disease (PD). Besides the poor response to levodopa, and the additional presence of pyramidal or cerebellar signs (ataxia) or autonomic failure as major diagnostic criteria, certain other clinical features known as "red flags" or warning signs may raise the clinical suspicion of MSA. To study the diagnostic role of these features in MSA-P versus PD patients, a standardized red flag check list (RFCL) developed by the European MSA Study Group (EMSA-SG) was administered to 57 patients with probable MSA-P and 116 patients with probable PD diagnosed according to established criteria. Those red flags with a specifity over 95% were selected for further analysis. Factor analysis was applied to reduce the number of red flags. The resulting set was then applied to 17 patients with possible MSA-P who on follow-up fulfilled criteria of probable MSA-P. Red flags were grouped into related categories. With two or more of six red flag categories present specificity was 98.3% and sensitivity was 84.2% in our cohort. When applying these criteria to patients with possible MSA-P, 76.5% of them would have been correctly diagnosed as probable MSA-P 15.9 (+/-7.0) months earlier than with the Consensus criteria alone. We propose a combination of two out of six red flag categories as additional diagnostic criteria for probable MSA-P., ((c) 2008 Movement Disorder Society)

Unlabelled: Using (99m)Tc-TRODAT-1 ((99m)Tc-[2[[2-[[[3-(4-chlorophenyl)-8-methyl-8-azabicyclo[3,2,1]-oct-2-yl]-methyl](2-mercaptoethyl) amino]ethyl]amino]ethane-thiolato(3-)-N2,N2',S2,S2]oxo-[1R-(exo-exo)])) brain SPECT imaging, we measured striatal dopamine transporters (DATs) activity in multiple system atrophy (MSA) to investigate the possibility of differentiating it from Parkinson's disease (PD) and to correlate the findings with the parkinsonian (MSA-P) and cerebellar (MSA-C) subtypes of MSA., Methods: Forty-nine patients with probable MSA (30 MSA-P, 19 MSA-C), a disease control group of 36 age- and disease duration-matched patients with probable PD, and a healthy control group of 33 age-matched healthy volunteers participated in a SPECT study. The ratios of specific striatal binding-to-nonspecific occipital binding, including the striatum-to-occipital ratio (S/O), putamen-to-occipital ratio (P/O), caudate nucleus-to-occipital ratio (C/O), and putamen-to-caudate nucleus ratio (P/C), were calculated. The statistical analyses of uptakes among 4 groups used ANOVA followed by Games-Howell's multiple comparisons. The Spearman correlation coefficient between the motor scores of Unified Parkinson's Disease Rating Scale (UPDRS-III) and those binding ratios of the MSA-P and MSA-C groups and the PD group was also performed., Results: The striatal binding was more symmetrically reduced in the MSA-P (asymmetric index, 14.2) and MSA-C (asymmetric index, 8.1) groups, in contrast to the greater asymmetric reduction in the PD group (asymmetric index, 28.6). Overall striatal binding was significantly reduced in the MSA-P (-59.8%), MSA-C (-29.9%), and PD (-58.0%) groups with no overlap between these values and those of the control group. Like the PD group, bilateral P/O, C/O, and S/O ratio values were significantly reduced in the MSA-P and MSA-C groups. Nevertheless, the reduction of bilateral P/O and S/O ratios was more for the MSA-P group than for the MSA-C group. P/C ratios showed that the MSA-P and PD groups had similar patterns of nigral impairment, but the MSA-C group had a different pattern. No correlation between the UPDRS-III scores and (99m)Tc-TRODAT-1 bindings was found in both MSA-P and MSA-C groups; in contrast, a significant negative correlation was noted in the PD group., Conclusion: (99m)Tc-TRODAT-1 brain SPECT is capable of scientifically differentiating between the MSA-P and MSA-C subtypes, and MSA-P has more symmetric nigrostriatal damage than that in PD. (99m)Tc-TRODAT-1 brain SPECT imaging probably could provide important information to differentiate MSA from PD.