Distinct patterns of electrophysiologic-neuroimaging correlations between Parkinson's disease and multiple system atrophy.

Due to a high degree of symptom overlap in the early stages, with movement disorders predominating, Parkinson's disease (PD) and multiple system atrophy (MSA) may exhibit a similar decline in motor areas, yet they differ in their spread throughout the brain, ultimately resulting in two distinct diseases. Drawing upon neuroimaging analyses and altered motor cortex excitability, potential diffusion mechanisms were delved into, and comparisons of correlations across distinct disease groups were conducted in a bid to uncover significant pathological disparities. We recruited thirty-five PD, thirty-seven MSA, and twenty-eight matched controls to conduct clinical assessments, electromyographic recording, and magnetic resonance imaging scanning during the "on medication" state. Patients with neurodegeneration displayed a widespread decrease in electrophysiology in bilateral M1. Brain function in early PD was still in the self-compensatory phase and there was no significant change. MSA patients demonstrated an increase in intra-hemispheric function coupled with a decrease in diffusivity, indicating a reduction in the spread of neural signals. The level of resting motor threshold in healthy aged showed broad correlations with both clinical manifestations and brain circuits related to left M1, which was absent in disease states. Besides, ICF exhibited distinct correlations with functional connections between right M1 and left middle temporal gyrus in all groups. The present study identified subtle differences in the functioning of PD and MSA related to bilateral M1. By combining clinical information, cortical excitability, and neuroimaging intuitively, we attempt to bring light on the potential mechanisms that may underlie the development of neurodegenerative disease.

Spinal cord stimulation for postural abnormalities in Parkinson's disease: 1-year prospective pilot study.

BACKGROUND: Postural abnormalities (PA) are common in the advanced stages of Parkinson's disease (PD), but effective therapies are lacking. A few studies suggested that spinal cord stimulation (SCS) could be a potential therapy whereas its effect is still uncertain. We aimed to investigate whether SCS had potential for benefiting PD patients with PA. METHODS: T8-12 SCS was operated on six PD patients with PA and all patients were followed for one year. Evaluations were made before and after SCS. Moreover, three patients were tested separately with SCS on-state and off-state to confirm the efficacy of SCS. RESULTS: Improvements in lateral trunk flexion degree, anterior thoracolumbar flexion degree and motor function were found after SCS. The improvements diminished while SCS was turned off. CONCLUSIONS: Lower thoracic SCS may be effective for improving PA in PD patients, but further studies are needed to confirm this conclusion. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR1900024326, Registered on 6th July 2019; https://www.chictr.org.cn/showproj.aspx?proj=40835 .

Collaborative plasma biomarkers for Parkinson disease development and progression: A cross-sectional and longitudinal study.

BACKGROUND AND PURPOSE: Relying on a single biomarker for early diagnosis of Parkinson disease (PD) may not yield accurate results. We aimed to assess the combined diagnostic value of multiple biomarkers, including plasma CCL2, plasma CXCL12, and plasma neuronal exosomal α-synuclein (α-syn) for early stage PD diagnosis and their predictive value in PD progression. METHODS: This study included both cross-sectional and longitudinal designs. The CCL2, CXCL12, and neuronal exosomal α-syn levels were analyzed in 50 healthy controls (HCs) and 50 early stage PD patients. Then, a prospective follow-up of 30 early stage PD patients was performed. RESULTS: In early stage PD, we observed a significant increase in CCL2, CXCL12, and plasma neuronal exosomal α-syn compared to HCs (p < 0.05). Utilizing a combined diagnostic approach of CCL2, CXCL12, and α-syn significantly improved the area under the curve (AUC = 0.89, p < 0.001). Spearman correlation analysis revealed that CCL2 levels were correlated with PD clinical stage and autonomic symptoms (p < 0.05). CXCL12 levels were associated with nonmotor symptoms (p < 0.05). Plasma neuronal exosomal α-syn levels were connected to the clinical stage, motor symptoms, and nonmotor symptoms in early stage PD (p < 0.01). In the longitudinal cohort, the Cox regression analysis showed that high CCL2 levels were associated with motor progression after a mean follow-up of 24 months. CONCLUSIONS: Our study suggested that the combined measurement of plasma CCL2, CXCL12, and neuronal exosomal α-syn can improve early stage PD diagnosis, and CCL2 may serve as a prognostic marker for PD progression.

Parkinson's disease peripheral immune biomarker profile: a multicentre, cross-sectional and longitudinal study.

BACKGROUND: Inflammations play crucial role in the pathogenesis of Parkinson's disease (PD), however, their possible value in the diagnosis or tracking of the progress of PD is still limited, because of discordant results in the literature and a lack of information regarding its reproducibility. Thus, overall longitudinal and cross-sectional studies are needed. This multicentre study was designed to investigate the association between multiple peripheral immune biomarkers and the development and progression of PD. METHODS: This was a longitudinal and multicentre study. First, we measured the levels of five typical cytokines and five focused chemokines in 76 PD patients and 76 healthy controls (HCs) in a discovery cohort. Then, a validation cohort of 80 PD and 80 HC participants was recruited from four multicentre locations. In addition, a prospective follow-up of early-stage PD patients was performed with significant biomarkers. Finally, we performed further verification in an exploratory set of patients with idiopathic REM sleep behaviour disorder (iRBD). RESULTS: In the discovery set, CXCL12, CX3CL1 and IL-8 levels were significantly higher in PD patients than in HCs (p < 0.05). The receiver-operating characteristic (ROC) curve for a combination of these three biomarkers produced a high area under the curve (AUC) of 0.89 (p < 0.001). Moreover, four biomarkers (the previous three and CCL15) were significantly associated with PD in the discovery and validation cohorts. Furthermore, in the prospective follow-up cohort, CX3CL1 levels were associated with motor progression after a mean interval of 43 months. In addition, CX3CL1 and IL-8 levels were higher in iRBD patients than in HCs. CONCLUSION: We showed a correlation between a profile of four peripheral immune biomarkers and PD development and progression. Our findings may provide a basis whereby PD patients with abnormal inflammatory profiles can be identified and receive timely therapeutic interventions.

Impaired Ocular Tracking and Cortical Atrophy in Idiopathic Rapid Eye Movement Sleep Behavior Disorder.

BACKGROUND: Idiopathic rapid eye movement sleep behavior disorder (iRBD) is a prodromal stage of synucleinopathies. Patients with synucleinopathies frequently display eye movement abnormalities. However, whether patients with iRBD have eye movement abnormalities remains unknown. OBJECTIVE: The aim of this study was to assess eye movement abnormalities and related gray matter alterations and explore whether such abnormalities can serve as biomarkers to indicate phenoconversion to synucleinopathies in iRBD. METHODS: Forty patients with iRBD with early disease progression and 35 healthy control subjects participated in a 15-minute ocular-tracking task that evaluated their control of eye movement abilities. They also underwent clinical assessments for olfactory function, nonmotor symptoms, and autonomic symptoms, all of which are biomarkers to predict phenoconversion to synucleinopathies in iRBD. A subgroup of the participants (20 patients with iRBD and 20 healthy control subjects) also participated in structural magnetic resonance imaging. RESULTS: The ocular-tracking ability in patients with iRBD was inferior to that of healthy control subjects in two aspects: pursuit initiation and steady-state tracking. Cortical thinning in the right visual area V4 in patients with iRBD is coupled with impaired pursuit initiation. Furthermore, prolonged pursuit initiation in patients with iRBD exhibits a trend of correlation with olfactory loss, the earliest biomarker that develops prior to other prodromal biomarkers. CONCLUSIONS: We found ocular-tracking abnormalities in patients with iRBD even early in their disease progression that have not been reported before. These abnormalities are coupled with atrophy of brain areas involved in the perception of object motion and might indicate phenoconversion to synucleinopathies in iRBD. © 2022 International Parkinson and Movement Disorder Society.

Altered structure and functional connectivity of the central autonomic network in idiopathic rapid eye movement sleep behaviour disorder.

Evidence suggests peripheral autonomic structures may contribute to autonomic dysfunction in idiopathic rapid eye movement sleep behaviour disorder (iRBD). However, whether the central autonomic network (CAN) is affected in iRBD remains unclear. Magnetic resonance imaging data were acquired from 65 participants (32 patients with iRBD and 33 matched healthy controls). We investigated the CAN in patients with iRBD using a combined voxel-based morphometry and resting-state functional connectivity analysis and characterised the relationships between alterations of the CAN and autonomic symptoms. Patients with iRBD had significantly reduced grey matter volume in the brainstem, anterior cingulate and insula compared with healthy controls. Functional connectivity analysis revealed reduced functional connectivity between the brainstem and the cerebellum posterior lobe, temporal lobe and anterior cingulate in patients with iRBD. In patients with iRBD, both reduced grey matter volume and decreased functional connectivity of the CAN were negatively correlated with the Scales for Outcomes in Parkinson's Disease-Autonomic scores. The present study demonstrated that both the structure and the functional connectivity of the CAN were abnormal in patients with iRBD. In addition, correlation analysis suggested that CAN abnormalities may also play a role in the development of autonomic symptoms in iRBD.

SNPs in SNCA, MCCC1, DLG2, GBF1 and MBNL2 are associated with Parkinson's disease in southern Chinese population.

Numerous single nucleotide polymorphisms (SNPs), which have been identified as susceptibility factors for Parkinson's disease (PD) as per genome-wide association studies, have not been fully characterized for PD patients in China. This study aimed to replicate the relationship between 12 novel SNPs of 12 genes and PD risk in southern Chinese population. Twelve SNPs of 12 genes were detected in 231 PD patients and 249 controls, using the SNaPshot technique. Meta-analysis was used to assess heterogeneity of effect sizes between this study and published data. The impact of SNPs on gene expression was investigated by analysing the SNP-gene association in the expression quantitative trait loci (eQTL) data sets. rs8180209 of SNCA (allele model: P = .047, OR = 0.77; additive model: P = .047, OR = 0.77), rs2270968 of MCCC1 (dominant model: P = .024, OR = 1.52), rs7479949 of DLG2 (recessive model; P = .019, OR = 1.52), rs10748818 of GBF1 (additive model: P < .001, OR = 0.37), and rs4771268 of MBNL2 (recessive model: P = .003, OR = 0.48) were replicated to be significantly associated with the increased risk of PD. Noteworthy, a meta-analysis of previous studies suggested rs8180209, rs2270968, rs7479949 and rs4771268 were in line with those of our cohort. Our study replicated five novel functional SNPs in SNCA, MCCC1, DLG2, GBF1 and MBNL2 could be associated with increased risk of PD in southern Chinese population.

CXCL12 is involved in α-synuclein-triggered neuroinflammation of Parkinson's disease.

BACKGROUND: The mechanisms underlying the pathogenesis and progression of Parkinson's disease (PD) remain elusive, but recent opinions and perspectives have focused on whether the inflammation process induced by microglia contributes to α-synuclein-mediated toxicity. Migration of microglia to the substantia nigra (SN) could precede neurodegeneration in A53T mice. We hypothesized that CXCL12 could be a mediator in the α-synuclein-induced migration of microglia. METHODS: After establishing appropriate animal and cell culture models, we explored the relationship between α-synuclein and CXCL12 in A53T mice, primary microglia, and BV-2 cell lines. We also explored the mechanisms of these interactions and the signaling processes involved in neuroinflammation. RESULTS: We confirmed the positive correlation between α-synuclein and CXCL12 in the postmortem brain tissue of PD patients and the upregulated CXCR4 expression in SN microglia of A53T mice. In addition, as expected, α-synuclein increased the production of CXCL12 in microglia via TLR4/IκB-α/NF-κB signaling. Importantly, CXCL12/CXCR4/FAK/Src/Rac1 signaling was shown to be involved in α-synuclein-induced microglial accumulation. CONCLUSIONS: Our study suggests that CXCL12 could be a novel target for the prevention of α-synuclein-triggered ongoing microglial responses. Blocking CXCL12/CXCR4 may be a potential therapeutic approach for PD progression.

Candidate biomarkers of EV-microRNA in detecting REM sleep behavior disorder and Parkinson's disease.

Parkinson's disease (PD) lacks reliable, non-invasive biomarker tests for early intervention and management. Thus, a minimally invasive test for the early detection and monitoring of PD and REM sleep behavior disorder (iRBD) is a highly unmet need for developing drugs and planning patient care. Extracellular vehicles (EVs) are found in a wide variety of biofluids, including plasma. EV-mediated functional transfer of microRNAs (miRNAs) may be viable candidates as biomarkers for PD and iRBD. Next-generation sequencing (NGS) of EV-derived small RNAs was performed in 60 normal controls, 56 iRBD patients and 53 PD patients to profile small non-coding RNAs (sncRNAs). Moreover, prospective follow-up was performed for these 56 iRBD patients for an average of 3.3 years. Full-scale miRNA profiles of plasma EVs were evaluated by machine-learning methods. After optimizing the library construction method for low RNA inputs (named EVsmall-seq), we built a machine learning algorithm that identified diagnostic miRNA signatures for distinguishing iRBD patients (AUC 0.969) and PD patients (AUC 0.916) from healthy individuals; and PD patients (AUC 0.929) from iRBD patients. We illustrated all the possible expression patterns across healthy-iRBD-PD hierarchy. We also showed 20 examples of miRNAs with consistently increasing or decreasing expression levels from controls to iRBD to PD. In addition, four miRNAs were found to be correlated with iRBD conversion. Distinct characteristics of the miRNA profiles among normal, iRBD and PD samples were discovered, which provides a panel of promising biomarkers for the identification of PD patients and those in the prodromal stage iRBD.

Relationships Between Rapid Eye Movement Sleep Behavior Disorder and Parkinson's Disease: Indication from Gut Microbiota Alterations.

Rapid eye movement sleep behavior disorder (RBD) has a close relationship with Parkinson's disease (PD) and was even regarded as the most reliable hallmark of prodromal PD. RBD might have similar changes in gut dysbiosis to PD, but the relationship between RBD and PD in gut microbial alterations is rarely studied. In this study, we aim to investigate whether there were consistent changes between RBD and PD in gut microbiota, and found some specific biomarkers in RBD that might indicate phenoconversion to PD. Alpha-diversity showed no remarkable difference and beta-diversity showed significant differences based on the unweighted (R = 0.035, P = 0.037) and weighted (R = 0.0045, P = 0.008) UniFrac analysis among idiopathic RBD (iRBD), PD with RBD, PD without RBD and normal controls (NC). Enterotype distribution indicated iRBD, PD with RBD and PD without RBD were Ruminococcus-dominant while NC were Bacteroides-dominant. 7 genera (4 increased: Aerococcus, Eubacterium, Gordonibacter and Stenotrophomonas, 3 decreased: Butyricicoccus, Faecalibacterium and Haemophilus) were consistently changed in iRBD and PD with RBD. Among them, 4 genera (Aerococcus, Eubacterium, Butyricicoccus, Faecalibacterium) remained distinctive in the comparison between PD with RBD and PD without RBD. Through clinical correlation analysis, Butyricicoccus and Faecalibacterium were found negatively correlated with the severity of RBD (RBD-HK). Functional analysis showed iRBD had similarly increased staurosporine biosynthesis to PD with RBD. Our study indicates that RBD had similar gut microbial changes to PD. Decreased Butyricicoccus and Faecalibacterium might be potential hallmarks of phenoconversion of RBD to PD.

Identification and Classification of Parkinsonian and Essential Tremors for Diagnosis Using Machine Learning Algorithms.

Due to overlapping tremor features, the medical diagnosis of Parkinson's disease (PD) and essential tremor (ET) mainly relies on the clinical experience of doctors, which often leads to misdiagnosis. Seven predictive models using machine learning algorithms including random forest (RF), eXtreme Gradient Boosting (XGBoost), support vector machine (SVM), logistic regression (LR), ridge classification (Ridge), backpropagation neural network (BP), and convolutional neural network (CNN) were evaluated and compared aiming to better differentiate between PD and ET by using accessible demographics and tremor information of the upper limbs. The tremor information including tremor acceleration and surface electromyogram (sEMG) signals were collected from 398 patients (PD = 257, ET = 141) and then were used to train the established models to separate PD and ET. The performance of the models was evaluated by indices of accuracy and area under the curve (AUC), which indicated the ensemble learning models including RF and XGBoost showed the best overall predictive ability with accuracy above 0.84 and AUC above 0.90. Furthermore, the relative importance of sex, age, four postures, and five tremor features was analyzed and ranked showing that the dominant frequency of sEMG of flexors, the average amplitude of sEMG of flexors, resting posture, and winging posture had a greater impact on the diagnosis of PD, whereas sex and age were less important. These results provide a reference for the intelligent diagnosis of PD and show promise for use in wearable tremor suppression devices.

Efficacy of idebenone in the Treatment of iRBD into Synucleinopathies (EITRS): rationale, design, and methodology of a randomized, double-blind, multi-center clinical study.

Background: As the strongest prodromal marker of α-synuclein-specific neurodegeneration, idiopathic REM sleep behavior disorder (iRBD) is becoming a focus of interest in disease-modifying therapy. Idebenone has been widely portrayed as a potent antioxidant targeting mitochondrial dysfunction. Previous study has identified the effect of idebenone on Parkinson's disease with promising outcomes by regulating mitophagy. A novel indication of idebenone should be highlighted in iRBD population. Methods: The EITRS study is a randomized, double-blind, multi-center clinical study assessing the efficacy and safety of idebenone in the treatment of iRBD into synucleinopathies. One hundred forty-two patients (aged 40-75 years old) with clinically diagnosed iRBD are planned to be recruited with 80% statistical power and randomly assigned to idebenone (30 mg each time, three times a day) or matching placebo orally for 5 years. The assessment of rating scales, blood testing and neuroimaging examinations will be conducted at baseline, the 1st, 3rd and 5th year of follow-up. The primary efficacy endpoint is the 5-year conversion rate in patients with iRBD. The secondary endpoint is the safety and tolerability of idebenone in the treatment of iRBD. The study has been launched in July 2020. Discussion: This is the first prospective study designed to identify the efficacy and safety of idebenone on the treatment of iRBD into synucleinopathies. The current results are expected to promote the development of evidence-based recommendations for the management of patients with iRBD. Furthermore, we hope to provide insights on a possible disease-modifying approach with robust evidence. Trial Registration: Clinicaltrials.gov, identifier: NCT04534023.

Neuroprotective Effects of Intermittent Theta Burst Stimulation in Parkinson's Disease (NET-PD): A Study Protocol for a Delayed-Start Randomized Double-Blind Sham-Controlled Trial.

BACKGROUND: As a typical high-disability neurodegenerative disease, Parkinson's disease (PD) progresses variably, and patients who are clinically insensitive to dopaminergic therapy and whose symptoms fail to improve are commonly observed. As a result, achieving early neuron protection is critical. METHODS/DESIGN: The NET-PD study is a 2-year prospective single-center, double-blind, multi-arm, delayed-start, sham-controlled clinical trial assessing the long-term neuroprotective effect of intermittent theta burst stimulation (iTBS) in PD patients. Patients diagnosed with PD, aged 50-80, Hoehn-Yahr stage ≤4, and who maintain medication stability during the study will be enrolled. Clinical assessment and multi-modal markers are used to clarify the clinical improvement and dynamic neuronal changes in PD patients. With a standard deviation of 2, a test level of 0.05, a dropout rate of 10%, and a degree of certainty of 0.9, 60 PD patients are required for this study. RESULTS: The NET-PD project was funded in March 2022, data collection began in July 2022, and is currently in the recruitment phase with two PD patients already enrolled. Data collection is expected to be completed in June 2024. The results are expected for publication in December 2024. DISCUSSION: Previous research has demonstrated a rudimentary method for assessing and delaying PD progression in clinical medication trials. The NET-PD study adopts a rigorous methodology and specific disease-modifying designs to demonstrate the neuroprotective effect of iTBS on PD and investigate the potential mechanism of iTBS in regulating brain and motor functions. We hope to provide supposition for the subsequent exploration of diverse neuroprotection methods.

Dynamic functional connectivity impairments in idiopathic rapid eye movement sleep behavior disorder.

INTRODUCTION: Previous functional magnetic resonance imaging (fMRI) studies typically analyzed static functional connectivity (sFC) to reveal the pathophysiology of iRBD and overlooked the dynamic nature of brain activity. Thus, we aimed to explore whether iRBD showed abnormalities of brain network dynamics using the dynamic functional connectivity (dFC) approach. METHODS: Resting-state fMRI data from 33 iRBD patients and 38 matched healthy controls were analyzed using an independent component analysis, sliding window correlation and k-means clustering. Relationships between clinical symptoms and abnormal dFC were evaluated using Spearman's correlation analysis. RESULTS: Four distinct connectivity states were identified to characterize and compare dFC patterns. We demonstrated that iRBD had fewer occurrences and a shorter dwell time in the infrequent and strongly connected State 1, but with more occurrences and a longer dwell time in the frequent and sparsely connected State 2. In addition, iRBD patients showed significantly decreased FC in certain dFC states compared to healthy controls. More importantly, the impairments in the temporal properties of State 2 were found to be associated RBDSQ scores in the patient group. CONCLUSIONS: This study detected dFC impairments in iRBD patients and provided new insights into the pathophysiology of iRBD, which might contribute to the development of disease-modifying drugs in future clinical trials.

Abnormal intrinsic brain activity of the putamen is correlated with dopamine deficiency in idiopathic rapid eye movement sleep behavior disorder.

OBJECTIVES: To investigate the changes in spontaneous neuronal activity of the striatum in idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) patients using regional homogeneity (ReHo) and amplitude of low-frequency fluctuation (ALFF) analysis. Furthermore, we tested the association between abnormal spontaneous brain activity and dopamine deficit in patients with iRBD. METHODS: Fifteen iRBD patients and 15 matched healthy controls received resting state magnetic resonance imaging (MRI) and neuropsychological assessments. ReHo and ALFF in subregions of the striatum were calculated and compared between groups in a voxel-by-voxel manner. In addition, 15 iRBD patients and seven healthy controls underwent dopamine transporter single photon computed emission tomography (DAT-SPECT) imaging. Correlation analysis was also performed to investigate whether the altered spontaneous brain activity could be correlated with dopamine deficiency in iRBD patients. RESULTS: We found that iRBD patients, compared with healthy controls, exhibited significantly reduced ReHo in the bilateral putamen. Patients also had significantly decreased tracer uptake in the bilateral putamen and left caudate. In addition, a significantly positive correlation was observed between the mean ReHo value and the tracer uptake ratio in the left putamen of iRBD patients. CONCLUSIONS: We detected abnormal spontaneous brain activity of the bilateral putamen in iRBD patients. These findings could be complementary to the Braak staging model and could help to clarify the pathophysiology of iRBD.

SNCA Hypomethylation in Rapid Eye Movement Sleep Behavior Disorder Is a Potential Biomarker for Parkinson's Disease.

BACKGROUND: α-Synuclein has been related to the pathogenesis of Parkinson's disease (PD), but it has not thoroughly been investigated in idiopathic rapid eye movement sleep behavior disorder (iRBD). OBJECTIVE: We aimed to explore whether there were different distributions of α-synuclein at a genetic and/or protein level in patients with iRBD. METHODS: We included 30 patients with iRBD, 30 patients with PD, and 30 age- and sex-matched healthy controls (HCs) in this study. The SNCA methylation and mRNA levels were determined using bisulfite sequencing and quantitative reverse transcription polymerase chain reaction. The plasma levels of exosome α-synuclein were measured using Meso Scale Discovery. RESULTS: SNCA methylation showed different distribution among HC, iRBD and PD groups (HC vs RBD: p = 0.011; HC vs PD: p < 0.001; RBD vs PD: p = 0.027). However, plasma exosomal α-synuclein levels were only elevated in patients with PD compared to those in HCs (p = 0.027), and were associated with the SNCA methylation only in the PD group (p = 0.030, r = -0.397). CONCLUSION: SNCA hypomethylation in leukocytes existed both in patients with iRBD and those with PD, indicating that SNCA methylation could be a potential biomarker for early PD diagnosis.

Gait Characteristics and Brain Activity in Parkinson's Disease with Concomitant Postural Abnormalities.

To explore the underlying pathogenic mechanism of Parkinson's disease (PD) with concomitant postural abnormalities (PDPA) through the relationship between its gait and brain function characteristics. PD patients from the neurology outpatient clinic at Ruijin Hospital were recruited and grouped according to whether postural abnormalities (including camptocormia and Pisa syndrome) were present. PD-related scale assessments, three-dimensional gait tests and brain resting-state functional magnetic imaging were performed and analyzed. The gait characteristics independently associated with PDPA were decreased pelvic obliquity angle and progressive downward movement of the center of mass during walking. PDPA features included decreased functional connectivity between the left insula and bilateral supplementary motor area, which was significantly correlated with reduced Berg Balance Scale scores. Functional connectivity between the right insula and bilateral middle frontal gyrus was decreased and significantly correlated with a decreased pelvic obliquity angle and poor performance on the Timed Up and Go test. Moreover, through diffusion tensor imaging analysis, the average fractional anisotropy value of the fibers connecting the left insula and left supplementary motor area was shown to be decreased in PDPA. There is decreased functional connectivity among the insula, supplementary motor area and middle frontal gyrus with structural abnormalities between the left insula and the left supplementary motor area; these changes in brain connectivity are probably among the causes of gait dysfunction in PDPA and provide some clues regarding the pathogenic mechanisms of PDPA.

Variants in the SNCA Locus Are Associated With the Progression of Parkinson's Disease.

Background: Genetic factors have a well-known influence on Parkinson's disease (PD) susceptibility; however, no previous studies have investigated the influence of SNCA mutations on the natural history of PD using a prospective follow-up study. The aim of this study was to assess the risk factors of variation of SNCA on the prognosis symptoms of PD patients. Methods: Fifty PD patients were recruited with 38 v-PSG confirmed PD+RBD patients, and the median follow-up period was 30 months. All patients underwent a comprehensive clinical evaluation at baseline and follow-up, and six SNPs of SNCA (rs356165, rs3857053, rs1045722, rs894278, rs356186, and rs356219) were analyzed. Cox proportional hazards regression models and Kaplan-Meier plot analysis were used to assess the associations between the SNCA variation and the primary and secondary progression outcomes. Results: Based on the clinical assessment, we found that hyposmia was substantially easier to aggravate. Regression analysis showed that patients with the T allele of rs1045722 and the G allele of rs356219 presented a 34 and 20% decreased risk of progression to the H-Y stage, respectively (p = 0.022; p = 0.005). While for rs894278, G allele patients showed a 47% decreased risk of olfactory dysfunction (p = 0.029). Further subgroup analysis showed that PD+RBD patients with rs356219/G exhibited a 30% and 20% decreased risk of progression on the H-Y stage and MoCA score (p = 0.038; p = 0.045). Conclusions: Our results indicated that genetic variation in SNCA may contribute to variability natural progression of PD and could possibly be used as a prognostic marker.