Misfolded protein deposits in Parkinson's disease and Parkinson's disease-related cognitive impairment, a [11C]PBB3 study.

Parkinson's disease (PD) is associated with aggregation of misfolded α-synuclein and other proteins, including tau. We designed a cross-sectional study to quantify the brain binding of [11C]PBB3 (a ligand known to bind to misfolded tau and possibly α-synuclein) as a proxy of misfolded protein aggregation in Parkinson's disease (PD) subjects with and without cognitive impairment and healthy controls (HC). In this cross-sectional study, nineteen cognitively normal PD subjects (CN-PD), thirteen cognitively impaired PD subjects (CI-PD) and ten HC underwent [11C]PBB3 PET. A subset of the PD subjects also underwent PET imaging with [11C](+)DTBZ to assess dopaminergic denervation and [11C]PBR28 to assess neuroinflammation. Compared to HC, PD subjects showed higher [11C]PBB3 binding in the posterior putamen but not the substantia nigra. There was no relationship across subjects between [11C]PBB3 and [11C]PBR28 binding in nigrostriatal regions. [11C]PBB3 binding was increased in the anterior cingulate in CI-PD compared to CN-PD and HC, and there was an inverse correlation between cognitive scores and [11C]PBB3 binding in this region across all PD subjects. Our results support a primary role of abnormal protein deposition localized to the posterior putamen in PD. This suggests that striatal axonal terminals are preferentially involved in the pathophysiology of PD. Furthermore, our findings suggest that anterior cingulate pathology might represent a significant in vivo marker of cognitive impairment in PD, in agreement with previous neuropathological studies.

Mitochondrial complex I deficiency stratifies idiopathic Parkinson's disease.

Idiopathic Parkinson's disease (iPD) is believed to have a heterogeneous pathophysiology, but molecular disease subtypes have not been identified. Here, we show that iPD can be stratified according to the severity of neuronal respiratory complex I (CI) deficiency, and identify two emerging disease subtypes with distinct molecular and clinical profiles. The CI deficient (CI-PD) subtype accounts for approximately a fourth of all cases, and is characterized by anatomically widespread neuronal CI deficiency, a distinct cell type-specific gene expression profile, increased load of neuronal mtDNA deletions, and a predilection for non-tremor dominant motor phenotypes. In contrast, the non-CI deficient (nCI-PD) subtype exhibits no evidence of mitochondrial impairment outside the dopaminergic substantia nigra and has a predilection for a tremor dominant phenotype. These findings constitute a step towards resolving the biological heterogeneity of iPD with implications for both mechanistic understanding and treatment strategies.

Cell-free mitochondrial DNA deletions in idiopathic, but not LRRK2, Parkinson's disease.

Mitochondrial dysfunction happens in both idiopathic (iPD) and LRRK2-related Parkinson's disease (LRRK2-PD). Nonetheless, previous studies suggested that a different type of mitochondrial pathology underlies the neurodegeneration in these two disorders. To further explore this hypothesis, we developed a novel multiplex digital PCR assay that allows the absolute quantification of cell-free mitochondrial DNA (cf-mtDNA) copy number and deletion ratio directly in cerebrospinal fluid (CSF) by simultaneously measuring two opposed regions of the mtDNA circular molecule, one of them in the commonly deleted major arc. The results confirmed that the content of cf-mtDNA in CSF was statistically significantly different between iPD and LRRK2-PD patients. Moreover, we found high cf-mtDNA deletion levels in CSF from patients with iPD, but not LRRK2-PD. The high cf-mtDNA deletion frequency in iPD was validated in an independent cohort. These results indicated that the content and deletion ratio of cf-mtDNA may differentiate iPD from LRRK2-PD, and provides further evidence of the different mitochondrial pathophysiology between these two forms of the disease.

Neurofilament light levels predict clinical progression and death in multiple system atrophy.

Disease-modifying treatments are currently being trialled in multiple system atrophy. Approaches based solely on clinical measures are challenged by heterogeneity of phenotype and pathogenic complexity. Neurofilament light chain protein has been explored as a reliable biomarker in several neurodegenerative disorders but data on multiple system atrophy have been limited. Therefore, neurofilament light chain is not yet routinely used as an outcome measure in multiple system atrophy. We aimed to comprehensively investigate the role and dynamics of neurofilament light chain in multiple system atrophy combined with cross-sectional and longitudinal clinical and imaging scales and for subject trial selection. In this cohort study, we recruited cross-sectional and longitudinal cases in a multicentre European set-up. Plasma and CSF neurofilament light chain concentrations were measured at baseline from 212 multiple system atrophy cases, annually for a mean period of 2 years in 44 multiple system atrophy patients in conjunction with clinical, neuropsychological and MRI brain assessments. Baseline neurofilament light chain characteristics were compared between groups. Cox regression was used to assess survival; receiver operating characteristic analysis to assess the ability of neurofilament light chain to distinguish between multiple system atrophy patients and healthy controls. Multivariate linear mixed-effects models were used to analyse longitudinal neurofilament light chain changes and correlated with clinical and imaging parameters. Polynomial models were used to determine the differential trajectories of neurofilament light chain in multiple system atrophy. We estimated sample sizes for trials aiming to decrease neurofilament light chain levels. We show that in multiple system atrophy, baseline plasma neurofilament light chain levels were better predictors of clinical progression, survival and degree of brain atrophy than the neurofilament light chain rate of change. Comparative analysis of multiple system atrophy progression over the course of disease, using plasma neurofilament light chain and clinical rating scales, indicated that neurofilament light chain levels rise as the motor symptoms progress, followed by deceleration in advanced stages. Sample size prediction suggested that significantly lower trial participant numbers would be needed to demonstrate treatment effects when incorporating plasma neurofilament light chain values into multiple system atrophy clinical trials in comparison to clinical measures alone. In conclusion, neurofilament light chain correlates with clinical disease severity, progression and prognosis in multiple system atrophy. Combined with clinical and imaging analysis, neurofilament light chain can inform patient stratification and serve as a reliable biomarker of treatment response in future multiple system atrophy trials of putative disease-modifying agents.

Differentiation of multiple system atrophy subtypes by gray matter atrophy.

BACKGROUND AND PURPOSE: Multiple system atrophy(MSA) is a rare adult-onset synucleinopathy that can be divided in two subtypes depending on whether the prevalence of its symptoms is more parkinsonian or cerebellar (MSA-P and MSA-C, respectively). The aim of this work is to investigate the structural MRI changes able to discriminate MSA phenotypes. METHODS: The sample includes 31 MSA patients (15 MSA-C and 16 MSA-P) and 39 healthy controls. Participants underwent a comprehensive motor and neuropsychological battery. MRI data were acquired with a 3T scanner (MAGNETOM Trio, Siemens, Germany). FreeSurfer was used to obtain volumetric and cortical thickness measures. A Support Vector Machine (SVM) algorithm was used to assess the classification between patients' group using cortical and subcortical structural data. RESULTS: After correction for multiple comparisons, MSA-C patients had greater atrophy than MSA-P in the left cerebellum, whereas MSA-P showed reduced volume bilaterally in the pallidum and putamen. Using deep gray matter volume ratios and mean cortical thickness as features, the SVM algorithm provided a consistent classification between MSA-C and MSA-P patients (balanced accuracy 74.2%, specificity 75.0%, and sensitivity 73.3%). The cerebellum, putamen, thalamus, ventral diencephalon, pallidum, and caudate were the most contributing features to the classification decision (z > 3.28; p < .05 [false discovery rate]). CONCLUSIONS: MSA-C and MSA-P with similar disease severity and duration have a differential distribution of gray matter atrophy. Although cerebellar atrophy is a clear differentiator between groups, thalamic and basal ganglia structures are also relevant contributors to distinguishing MSA subtypes.

Association of PSP phenotypes with survival: A brain-bank study.

INTRODUCTION: The MDS-PSP criteria expand the phenotypic spectrum of PSP by adding to Richardson's syndrome (PSP-RS) other presentations such as PSP-parkinsonism (PSP-P), PSP-pure-gait-freezing (PSP-PGF), PSP-speech-language (PSP-SL), PSP-frontal (PSP-F), PSP-postural-instability (PSP-PI) and PSP-corticobasal-syndrome (PSP-CBS). Evidence about the prognostic differences between PSP phenotypes is scarce and focused on PSP-RS vs. non-PSP-RS. Using a brain-bank cohort we assessed PSP survival not only in PSP-RS vs. non-PSP-RS, but also in PSP-RS + cortical vs. subcortical phenotypes. Besides, we assessed sensitivity and specificity of the MDS-PSP criteria in of PSP and other degenerative parkinsonisms. METHODS: We retrospectively applied the MDS-PSP diagnostic criteria to 32 definite PSP cases and 30 cases with other degenerative parkinsonian syndromes (Parkinson's disease [PD; n = 11], multiple system atrophy [MSA; n = 11], corticobasal degeneration [CBD; n = 8]). We conducted survival statistics in neuropathologically confirmed PSP cases considering PSP-RS vs. non-PSP-RS and PSP-RS + PSP-cortical (PSP-F + PSP-SL + PSP-CBS) vs. PSP-subcortical (PSP-P + PSP-PGF) phenotypes. We also adjusted survival analyses for PSP tau scores. RESULTS: Diagnostic sensitivity was 100% and specificity ranged from 47% to 87% when excluding cases that met the "suggestive of PSP" definition early in their disease course but with other clinical features better matching with a non-PSP pathological diagnosis. Survival was significantly shorter in PSP-RS vs. non-PSP-RS cases, but it was more markedly shorter in PSP-RS + PSP-cortical vs. PSP-subcortical, independently of PSP tau scores, which were not associated with survival. CONCLUSIONS: PSP-subcortical phenotypes appear to have longer survival than PSP-RS and cortical phenotypes. This might be of prognostic relevance when informing patients upon clinical diagnosis.

Progression of Motor and Non-Motor Symptoms in Multiple System Atrophy: A Prospective Study from the Catalan-MSA Registry.

BACKGROUND/OBJECTIVE: Multiple system atrophy (MSA) is a highly debilitating, rare neurodegenerative disorder with two clinical motor variants (parkinsonian or MSA-P and cerebellar or MSA-C). There is a wide span of motor and non-motor symptoms (NMS) that progress over time. We studied the cohort from the Catalan Multiple System Atrophy Registry (CMSAR) to determine which symptoms are most likely to progress throughout a 2-year follow-up. METHODS: We analyzed baseline, 12-month, and 24-month follow-up evaluations from the 80 cases recruited by the CMSAR. Evaluations included the UMSARS assessment, cognitive and neuropsychiatric evaluations, and a non-motor scale (NMSS-PD). Statistical analysis was done using a Generalized Estimated Equations (GEE) model. RESULTS: Both UMSARS I and II sub-scores significantly increased at 12- and 24-month follow-ups (p < 0.001), with a median total score increase of 11 and 12.5 points, respectively. Items on UMSARS I that significantly worsened were mostly motor affecting daily activities. NMS, including urinary and sexual dysfunction, as well as sleep difficulties showed a significant progression on the NMSS-PD; however, other NMS such as postural hypotension, gastrointestinal, and mood dysfunction, although prevalent, did not show a clear progression on clinical scales. CONCLUSION: Within 24 months and as early as 12 months, MSA cases may experience significant motor worsening, affecting basic daily activities. NMS are prevalent; however, not all clinical scales register a clear progression of symptoms, perhaps suggesting that they are not sensitive enough for non-motor evaluation.

Mini-Review: The MSA transcriptome.

Multiple system atrophy (MSA) is an atypical parkinsonism that rapidly affects motor ability and autonomic function, leaving patients wheelchair-bound and dependent for daily activities in 3-5 years. Differential diagnosis is challenging as cases may resemble Parkinson's disease or other ataxic syndromes depending on the clinical variant (MSA-P or MSA-C), especially in early stages. There are limited symptomatic treatments and no disease-modifying therapies. Pathologically, alpha-synuclein aggregates are found in glial cytoplasmic inclusions, among other proteins, as well as in neurons. The molecular pathogenesis of the disease, however, is widely unknown. Transcriptomic studies in MSA have tried to unravel the pathological mechanisms involved in the disease. Several biological and molecular processes have been described in the literature that associate disease pathogenesis with inflammation, mitochondrial, and autophagy related dysfunctions, as well as prion disease and Alzheimer disease associated pathways. These reports have also registered several differential diagnostic biomarker candidates. However, cross-validation between studies, in general, is poor, making clinical applicability and data reliability very challenging. This review will go over the main transcriptomic studies done in MSA, reporting on the most significant transcriptive and post-transcriptive changes described, and focusing on the main consensual findings.

MicroRNA Deregulation in Blood Serum Identifies Multiple System Atrophy Altered Pathways.

BACKGROUND AND OBJECTIVES: MicroRNA (miRNA) changes are observed in PD but remain poorly explored in other α-synucleinopathies such as MSA. METHODS: By genome-wide analysis we profiled microRNA expression in serum from 20 MSA cases compared to 40 controls. By qPCR we validated top differentially expressed microRNAs in another sample of 20 MSA and 20 controls. We also assessed the expression of MSA differentially expressed microRNAs in two consecutive sets of 19 and 18 PD patients. RESULTS: In the discovery set we identified 25 differentially expressed microRNAs associated with MSA, which are related to prion disease, fatty acid metabolism, and Notch signaling. Among these, we selected nine differentially expressed microRNAs and by qPCR confirmed array findings in a second MSA sample. MicroRNA-7641 and microRNA-191 consistently differentiated between MSA and PD. CONCLUSIONS: Serum microRNA changes occur in MSA and may reflect disease-associated mechanisms. We identified two microRNAs which may differentiate MSA from PD. © 2020 International Parkinson and Movement Disorder Society.

Transcriptomic differences in MSA clinical variants.

BACKGROUND: Multiple system atrophy (MSA) is a rare oligodendroglial synucleinopathy of unknown etiopathogenesis including two major clinical variants with predominant parkinsonism (MSA-P) or cerebellar dysfunction (MSA-C). OBJECTIVE: To identify novel disease mechanisms we performed a blood transcriptomic study investigating differential gene expression changes and biological process alterations in MSA and its clinical subtypes. METHODS: We compared the transcriptome from rigorously gender and age-balanced groups of 10 probable MSA-P, 10 probable MSA-C cases, 10 controls from the Catalan MSA Registry (CMSAR), and 10 Parkinson Disease (PD) patients. RESULTS: Gene set enrichment analyses showed prominent positive enrichment in processes related to immunity and inflammation in all groups, and a negative enrichment in cell differentiation and development of the nervous system in both MSA-P and PD, in contrast to protein translation and processing in MSA-C. Gene set enrichment analysis using expression patterns in different brain regions as a reference also showed distinct results between the different synucleinopathies. CONCLUSIONS: In line with the two major phenotypes described in the clinic, our data suggest that gene expression and biological processes might be differentially affected in MSA-P and MSA-C. Future studies using larger sample sizes are warranted to confirm these results.

Differentiation of multiple system atrophy from Parkinson's disease by structural connectivity derived from probabilistic tractography.

Recent studies combining diffusion tensor-derived metrics and machine learning have shown promising results in the discrimination of multiple system atrophy (MSA) and Parkinson's disease (PD) patients. This approach has not been tested using more complex methodologies such as probabilistic tractography. The aim of this work is assessing whether the strength of structural connectivity between subcortical structures, measured as the number of streamlines (NOS) derived from tractography, can be used to classify MSA and PD patients at the single-patient level. The classification performance of subcortical FA and MD was also evaluated to compare the discriminant ability between diffusion tensor-derived metrics and NOS. Using diffusion-weighted images acquired in a 3 T MRI scanner and probabilistic tractography, we reconstructed the white matter tracts between 18 subcortical structures from a sample of 54 healthy controls, 31 MSA patients and 65 PD patients. NOS between subcortical structures were compared between groups and entered as features into a machine learning algorithm. Reduced NOS in MSA compared with controls and PD were found in connections between the putamen, pallidum, ventral diencephalon, thalamus, and cerebellum, in both right and left hemispheres. The classification procedure achieved an overall accuracy of 78%, with 71% of the MSA subjects and 86% of the PD patients correctly classified. NOS features outperformed the discrimination performance obtained with FA and MD. Our findings suggest that structural connectivity derived from tractography has the potential to correctly distinguish between MSA and PD patients. Furthermore, NOS measures obtained from tractography might be more useful than diffusion tensor-derived metrics for the detection of MSA.

Cerebrospinal fluid cytokines in multiple system atrophy: A cross-sectional Catalan MSA registry study.

INTRODUCTION: Neuroinflammation is a potential player in neurodegenerative conditions, particularly the aggressive ones, such as multiple system atrophy (MSA). Previous reports on cytokine levels in MSA using serum or cerebrospinal fluid (CSF) have been inconsistent, including small samples and a limited number of cytokines, often without comparison to Parkinson's disease (PD), a main MSA differential diagnosis. METHODS: Cross-sectional study of CSF levels of 38 cytokines using a multiplex assay in 73 participants: 39 MSA patients (19 with parkinsonian type [MSAp], 20 with cerebellar type [MSAc]; 31 probable, 8 possible), 19 PD patients and 15 neurologically unimpaired controls. None of the participants was under non-steroidal anti-inflammatory drugs at the time of the lumbar puncture. RESULTS: There were not significant differences in sex and age among participants. In global non-parametric comparisons FDR-corrected for multiple comparisons, CSF levels of 5 cytokines (FGF-2, IL-10, MCP-3, IL-12p40, MDC) differed among the three groups. In pair-wise FDR-corrected non-parametric comparisons 12 cytokines (FGF-2, eotaxin, fractalkine, IFN-α2, IL-10, MCP-3, IL-12p40, MDC, IL-17, IL-7, MIP-1ß, TNF-α) were significantly higher in MSA vs. non-MSA cases (PD + controls pooled together). Of these, MCP-3 and MDC were the most significant ones, also differed in MSA vs. PD, and were significant MSA-predictors in binary logistic regression models and ROC curves adjusted for age. CSF levels of fractalkine and MIP-1α showed a strong and significant positive correlation with UMSARS-2 scores. CONCLUSION: Increased CSF levels of cytokines such as MCP-3, MDC, fractalkine and MIP-1α deserve consideration as potential diagnostic or severity biomarkers of MSA.

Cerebellar resting-state functional connectivity in Parkinson's disease and multiple system atrophy: Characterization of abnormalities and potential for differential diagnosis at the single-patient level.

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.

The effect of LRRK2 mutations on the cholinergic system in manifest and premanifest stages of Parkinson's disease: a cross-sectional PET study.

BACKGROUND: Markers of neuroinflammation are increased in some patients with LRRK2 Parkinson's disease compared with individuals with idiopathic Parkinson's disease, suggesting possible differences in disease pathogenesis. Previous PET studies have suggested amplified dopamine turnover and preserved serotonergic innervation in LRRK2 mutation carriers. We postulated that patients with LRRK2 mutations might show abnormalities of central cholinergic activity, even before the diagnosis of Parkinson's disease. METHODS: Between June, 2009, and December, 2015, we recruited participants from four movement disorder clinics in Canada, Norway, and the USA. Patients with Parkinson's disease were diagnosed by movement disorder neurologists on the basis of the UK Parkinson's Disease Society Brain Bank criteria. LRRK2 carrier status was confirmed by bidirectional Sanger sequencing. We used the PET tracer N-11C-methyl-piperidin-4-yl propionate to scan for acetylcholinesterase activity. The primary outcome measure was rate of acetylcholinesterase hydrolysis, calculated using the striatal input method. We compared acetylcholinesterase hydrolysis rates between groups using ANCOVA, with adjustment for age based on the results of linear regression analysis. FINDINGS: We recruited 14 patients with LRRK2 Parkinson's disease, 16 LRRK2 mutation carriers without Parkinson's disease, eight patients with idiopathic Parkinson's disease, and 11 healthy controls. We noted significant between-group differences in rates of acetylcholinesterase hydrolysis in cortical regions (average cortex p=0·009, default mode network-related regions p=0·006, limbic network-related regions p=0·020) and the thalamus (p=0·008). LRRK2 mutation carriers without Parkinson's disease had increased acetylcholinesterase hydrolysis rates compared with healthy controls in the cortex (average cortex, p=0·046). Patients with LRRK2 Parkinson's disease had significantly higher acetylcholinesterase activity in some cortical regions (average cortex p=0·043, default mode network-related regions p=0·021) and the thalamus (thalamus p=0·004) compared with individuals with idiopathic disease. Acetylcholinesterase hydrolysis rates in healthy controls were correlated inversely with age. INTERPRETATION: LRRK2 mutations are associated with significantly increased cholinergic activity in the brain in mutation carriers without Parkinson's disease compared with healthy controls and in LRRK2 mutation carriers with Parkinson's disease compared with individuals with idiopathic disease. Changes in cholinergic activity might represent early and sustained attempts to compensate for LRRK2-related dysfunction, or alteration of acetylcholinesterase in non-neuronal cells. FUNDING: Michael J Fox Foundation, National Institutes of Health, and Pacific Alzheimer Research Foundation.

Dyskinesias and levodopa therapy: why wait?

Throughout the years there has been a longstanding discussion on whether levodopa therapy in Parkinson's disease should be started in early vs. later stages, in order to prevent or delay motor complications such as fluctuations and dyskinesias. This controversial topic has been extensively debated for decades, and the prevailing view today is that levodopa should not be postponed. However, there is still fear associated with its use in early stages, especially in younger patients, who are more prone to develop dyskinesias. Even though dyskinesias are linked to levodopa use in Parkinson's disease, it has been shown that starting with a different medication (such as dopamine agonists) will not significantly delay their onset once levodopa is introduced. Since levodopa provides better symptomatic control, and other drugs may be associated with notable side effects, it is our view that there is insufficient evidence to justify levodopa-sparing strategies. The physician should try to assess each patient individually, taking into account motor and non-motor demands, as well as risk factors for potential complications, finding the optimum treatment strategy for each one. The following article provides an historical narrative perspective, as well as a literature review of those intrinsic and modifiable risk factors that have been associated with levodopa-induced dyskinesias, which should be taken into consideration when choosing the therapeutic strategy in individual Parkinson's disease patients.

PBB3 imaging in Parkinsonian disorders: Evidence for binding to tau and other proteins.

BACKGROUND AND OBJECTIVES: To study selective regional binding for tau pathology in vivo, using PET with [11 C]PBB3 in PSP patients, and other conditions not typically associated with tauopathy. METHODS: Dynamic PET scans were obtained for 70 minutes after the bolus injection of [11 C]PBB3 in 5 PSP subjects, 1 subject with DCTN1 mutation and PSP phenotype, 3 asymptomatic SNCA duplication carriers, 1 MSA subject, and 6 healthy controls of similar age. Tissue reference Logan analysis was applied to each region of interest using a cerebellar white matter reference region. RESULTS: In comparison to the control group, PSP subjects showed specific uptake of [11 C]PBB3 in putamen, midbrain, GP, and SN. Longer disease duration and more advanced clinical severity were generally associated with higher tracer retention. A DCTN1/PSP phenotype case showed increased binding in putamen, parietal lobe, and GP. In SNCA duplication carriers, there was a significant increase of [11 C] PBB3 binding in GP, putamen, thalamus, ventral striatum, SN, and pedunculopontine nucleus. The MSA case showed increased binding in frontal lobe, GP, midbrain, parietal lobe, putamen, temporal lobe, SN, thalamus, and ventral striatum. CONCLUSIONS: All PSP patients showed increased retention of the tracer in the basal ganglia, as expected. Binding was also present in asymptomatic SNCA duplication carriers and in an MSA case, which are not typically associated with pathological tau deposition. This suggests the possibility that [11 C]PBB3 binds to alpha-synuclein. © 2017 International Parkinson and Movement Disorder Society.