Gait variability is sensitive to detect Parkinson's disease patients at high fall risk.

BACKGROUND: Gait disturbance is an important risk factor for falls in Parkinson's disease (PD). Using wearable sensors, we can obtain the spatiotemporal parameters of gait and calculate the gait variability. This prospective study aims to objectively evaluate the gait characteristics of PD fallers, and further explore the relationship between spatiotemporal parameters of gait, gait variability and falls in PD patients followed for six months. METHODS: Fifty-one PD patients were enrolled in this study. A seven-meter timed up and go test was performed. Gait characteristics were determined by a gait analysis system. Patients were followed monthly by telephone until the occurrence of falls or till the end of six months. The patients were categorized into fallers and non-fallers based on whether fell during the follow-up period. Gait parameters were compared between two groups, and binary logistic regression was used to establish the falls prediction model. In the receiver-operating characteristic curve, area under the curve (AUC) was utilized to evaluate the prediction accuracy of each indicator. RESULTS: All subjects completed the follow-up, and 14 (27.5%) patients reported falls. PD fallers had greater gait variability. The range of motion of the trunk in sagittal plane variability was an independent risk factor for falls and achieved moderate prediction accuracy (AUC = 0.751), and the logistic regression model achieved a good accuracy of falls prediction (AUC = 0.838). CONCLUSIONS: Increased gait variability is a significant feature of PD fallers and is more sensitive to detect PD patients at high risk of falls than spatiotemporal parameters.

Validation of the MDS clinical diagnostic criteria for Parkinson's disease.

BACKGROUND: In 2015, the International Parkinson and Movement Disorder Society published clinical diagnostic criteria for Parkinson's disease. These criteria aimed to codify/reproduce the expert clinical diagnostic process and to help standardize diagnosis in research and clinical settings. Their accuracy compared with expert clinical diagnosis has not been tested. The objectives of this study were to validate the International Parkinson and Movement Disorder Society diagnostic criteria against a gold standard of expert clinical diagnosis, and to compare concordance/accuracy of the International Parkinson and Movement Disorder Society criteria to 1988 United Kingdom Brain Bank criteria. METHODS: From 8 centers, we recruited 626 parkinsonism patients (434 PD, 192 non-PD). An expert neurologist diagnosed each patient as having PD or non-PD, regardless of International Parkinson and Movement Disorder Society criteria (gold standard, clinical diagnosis). Then a second neurologist evaluated the presence/absence of each individual item from the International Parkinson and Movement Disorder Society criteria. The overall accuracy/concordance rate, sensitivity, and specificity of the International Parkinson and Movement Disorder Society criteria compared with the expert gold standard were calculated. RESULTS: Of 434 patients diagnosed with PD, 94.5% met the International Parkinson and Movement Disorder Society criteria for probable PD (5.5% false-negative rate). Of 192 non-PD patients, 88.5% were identified as non-PD by the criteria (11.5% false-positive rate). The overall accuracy for probable PD was 92.6%. In addition, 59.3% of PD patients and only 1.6% of non-PD patients met the International Parkinson and Movement Disorder Society criteria for clinically established PD. In comparison, United Kingdom Brain Bank criteria had lower sensitivity (89.2%, P = 0.008), specificity (79.2%, P = 0.018), and overall accuracy (86.4%, P < 0.001). Diagnostic accuracy did not differ according to age or sex. Specificity improved as disease duration increased. CONCLUSIONS: The International Parkinson and Movement Disorder Society criteria demonstrated high sensitivity and specificity compared with the gold standard, expert diagnosis, with sensitivity and specificity both higher than United Kingdom Brain Bank criteria. © 2018 International Parkinson and Movement Disorder Society.

Movement disorder society criteria for clinically established early Parkinson's disease.

BACKGROUND: In 2015, the International Parkinson and Movement Disorder Society published clinical diagnostic criteria for Parkinson's disease (PD). Although recent validation studies suggest high accuracy, one unmet need is for highly specific criteria for clinical trials in early/de novo PD. OBJECTIVES: The objective of this study was to generate and test a PD diagnostic criteria termed "clinically established early PD." METHODS: We modified the Movement Disorder Society criteria to increase specificity for early PD by removing all disease duration components and changing red flags to absolute exclusions. We then estimated the sensitivity/specificity of clinically established early PD criteria in patients with disease duration <5 years, selected from a 626-patient validation study. RESULTS: After documentation of parkinsonism, 18 individual exclusion criteria are assessed that preclude the diagnosis of "clinically established early PD." Among 212 PD and 152 non-PD patients, the estimated specificity was 95.4%, with 69.8% sensitivity. CONCLUSIONS: We describe high-specificity criteria for de novo PD, which are freely available for use in clinical trials. © 2018 International Parkinson and Movement Disorder Society.

Primary familial brain calcifications linked with a novel SLC20A2 gene mutation in a Chinese family.

It has been recently reported that mutations in SLC20A2 gene are a major cause of primary familial brain calcifications, a rare neurodegenerative disorder characterized by symmetrical and bilateral intracranial calcification. We conducted a pedigree study by performing next Generation Sequencing in a Chinese family with three generations. Three members in this family developed Parkinsonism in their sixth decade, also, the proband presented with schizophrenia for 40 years. Next Generation Sequencing identified a novel nonsense heterozygous substitution c.1158C > A (p.Thr 386*) of SLC20A2 gene, introducing a stop codon in exon 10. The mutation was present in symptomatic and asymptomatic individuals with intracranial calcification, but absent in the individual without calcification, suggesting the mutation segregates with brain calcification. mRNA expression was decreased by 35% in the proband. We are the first to demonstrate a novel c.1158C > A mutation of SLC20A2 gene in a Chinese family with primary familial brain calcifications.

The Interventional Effect of Remote Ischemic Preconditioning on Cerebral Small Vessel Disease: A Pilot Randomized Clinical Trial.

BACKGROUND: Remote ischemic preconditioning (RIPC) of the limb has been shown to induce ischemic tolerance in basic and clinical studies that focused on sustained large artery occlusion rather than small vessel disease (SVD). This study aimed to evaluate the protective effects of brief repetitive limb RIPC on patients with cerebral SVD. METHODS: Seventeen patients with cerebral SVD were enrolled. Patients underwent 5 ischemia-reperfusion cycles of preconditioning/sham preconditioning on both upper limbs twice a day for 1 year. Cerebral hemodynamic indexes, brain lesions, cognitive functions and assessment outcomes of dizziness handicap inventory (DHI) were analyzed. RESULTS: In the RIPC group, the mean flow velocity (MFV) of the left middle cerebral artery (MCA) was accelerated (57.33 (52.33-61.34) vs. 51.33 (48.83-58.33), respectively; p = 0.038), and the post-treatment DHI score was reduced (18 (13-19) vs. 34 (21-45), respectively; p = 0.043). The post-treatment volume of the white matter lesions (WMLs) was also reduced (4.19 (2.96-7.25) vs. 6.06 (4.67-10.95), respectively; p = 0.050). There was no remarkable difference between the 2 groups either before or after treatment. CONCLUSION: The present study indicates that RIPC has potential beneficial effects on cerebral SVD by increasing the MFV of MCA, decreasing the DHI score as well as the volume of WMLs in patients with SVD.

Homogeneous-Multiset-CCA-Based Brain Covariation and Contravariance Connectivity Network Modeling.

Brain connectivity networks based on functional magnetic resonance imaging (fMRI) have expanded our understanding of brain functions in both healthy and diseased states. However, most current studies construct connectivity networks using averaged regional time courses with the strong assumption that the activities of voxels contained in each brain region are similar, ignoring their possible variations. Additionally, pairwise correlation analysis is often adopted with more attention to positive relationships, while joint interactions at the network level as well as anti-correlations are less investigated. In this paper, to provide a new strategy for regional activity representation and brain connectivity modeling, a novel homogeneous multiset canonical correlation analysis (HMCCA) model is proposed, which enforces sign constraints on the weights of voxels to guarantee homogeneity within each brain region. It is capable of obtaining regional representative signals and constructing covariation and contravariance networks simultaneously, at both group and subject levels. Validations on two sessions of fMRI data verified its reproducibility and reliability when dealing with brain connectivity networks. Further experiments on subjects with and without Parkinson's disease (PD) revealed significant alterations in brain connectivity patterns, which were further associated with clinical scores and demonstrated superior prediction ability, indicating its potential in clinical practice.

Impaired Formation and Expression of Goal-Directed and Habitual Control in Parkinson's Disease.

Selective depletion of dopaminergic neurotransmission in the caudal sensorimotor striatum, a subdivision implicated in habitual control, is a major pathological feature in Parkinson's disease (PD). Here, we evaluated the effects of PD on the formation of goal-directed and habitual control during learning, and for the first time investigated the conflict between these two strategies in the expression of acquired learning. Twenty PD patients and 20 healthy individuals participated in a set of tasks designed to assess relative goal-directed versus habitual behavioral control. In the instrumental training phase, participants first learned by trial and error to respond to different pictured stimuli in order to gain rewarding outcomes. Three associations were trained, with standard and congruent associations mediated predominantly by goal-directed action, and incongruent association regulated predominantly by habitual control. In a subsequent "slips-of-action" test, participants were assessed to determine whether they can flexibly adjust their behavior to changes in the desirability of the outcomes. A baseline test was then administered to rule out the possibility of general inhibitory deficit, and a questionnaire was finally adopted to test the explicit knowledge of the relationships between stimuli, responses, and outcomes. Our results showed that during the instrumental training phase, PD patients had impaired learning not only of the standard and congruent associations (mediated by goal-directed system), but also the incongruent association (mediated by habitual control system). In the slips-of-action test, PD patients responded less for valuable outcomes and more often to stimuli that were associated with devalued outcomes, with poor performance predicted by symptom severity. No significant difference was found between PD and healthy subjects for the baseline test and questionnaire performance. These results collectively demonstrate that the formation of both goal-directed and habitual control are impaired in PD patients. Furthermore, PD patients are more prone to slips of action, suggesting PD patients exhibit an impairment in engaging the goal-directed system with a relatively excessive reliance on habitual control in the expression of acquired learning.

Altered Functional Segregated Sensorimotor, Associative, and Limbic Cortical-Striatal Connections in Parkinson's Disease: An fMRI Investigation.

Multiple studies have identified segregated functional territories in the basal ganglia for the control of goal-directed and habitual actions. It has been suggested that in PD, preferential loss of dopamine in the posterior putamen may cause a major deficit in habitual control (mediated by the sensorimotor cortical-striatal loop), and the patients may therefore be forced into a progressive reliance on the goal-directed behavior (regulated by the associative cortical-striatal loop). Functional evidence supporting this point is scarce at present. This study aims to verify the functional connectivity changes within the sensorimotor, associative, and limbic cortical-striatal loops in PD. Resting-state fMRI of 70 PD patients and 30 controls were collected. Bilateral tripartite functional territories of basal ganglia and their associated cortical structures were chosen as regions of interest, including ventral striatum and ventromedial prefrontal cortex for limbic loop; dorsomedial striatum and dorsolateral prefrontal cortex for associative loop; dorsolateral striatum and sensorimotor cortex for sensorimotor loop. Pearson's correlation coefficients for each seed pair were calculated to obtain the functional connectivity. The relationships between functional connectivity and disease severity were further investigated. Functional connectivity between dorsolateral striatum and sensorimotor cortex is decreased in PD patients, and negatively correlated with disease duration; whereas functional connectivity between dorsomedial striatum and dorsolateral prefrontal cortex is also decreased but postitively correlated with disease duration. The functional connectivity within the sensorimotor loop is pathologically decreased in PD, while the altered connectivity within the associative loop may indicate a failed attempt to compensate for the loss of connectivity within the sensorimotor loop.

High-Frequency Repetitive Transcranial Magnetic Stimulation Over the Left Dorsolateral Prefrontal Cortex Shortly Alleviates Fatigue in Patients With Multiple System Atrophy: A Randomized Controlled Trial.

Background: Fatigue is a common symptom in patients with Multiple system atrophy (MSA), but effective treatments remain elusive. The present study aims to investigate whether high-frequency repetitive transcranial magnetic stimulation (rTMS) over the left dorsolateral prefrontal cortex (DLPFC) could relieve fatigue in patients with MSA. Methods: This is a single-center, randomized and double-blind trial. Twenty-two patients with MSA and fatigue were randomly allocated to receive 10 sessions of either active (N = 11) or sham (N = 11) 10 Hz rTMS over the left DLPFC. The participants were assessed at baseline (T0), after the last session of treatment (T1), and at 2-week (T2), and 4-week (T3) follow-up timepoints. The primary outcomes were Fatigue Severity Scale-9 (FSS-9) scores, with Unified Multiple System Atrophy Rating Scale (UMSARS), 17-item Hamilton Depression Scale (HAMD-17), and Hamilton Anxiety Scale (HAMA) as secondary outcomes. Results: Two-way repeated ANOVAs revealed significant group × time interactions for FSS-9 scores (p < 0.001), HAMD-17 scores (p = 0.01), HAMA scores (p = 0.01), and UMRSA part II (p = 0.05). Post-hoc analyses showed that compared to T0, the active group exhibited remarkable improvements in FSS-9 and UMRSA part II scores at T1 and T2, but not at T3, and also in HAMD-17 and HAMA scores at T1, T2, and T3. No significant improvement was found in the sham group. Conclusion: High-frequency rTMS over the left DLPFC could provide short-term improvements for alleviating fatigue in patients with MSA, but the beneficial effects last no more than 4 weeks.

Striatal Subdivisions Estimated via Deep Embedded Clustering With Application to Parkinson's Disease.

Recent fMRI connectivity-based parcellation (CBP) methods have been developed to obtain homogeneous and functionally coherent brain parcels. However, most of these studies utilize traditional clustering methods that neglect hidden nonlinear features. To enhance parcellation performance, here we propose a deep embedded connectivity-based parcellation (DECBP) framework and apply it to determine functional subdivisions of the striatum in public resting state fMRI data sets. This framework integrates fMRI connectivity features into deep embedded clustering (DEC), a deep neural network based on a stacked autoencoder. Compared to three prevalent clustering methods and their combinations with principal component analysis (PCA), the DECBP exhibited a significantly higher similarity between scans, individuals, and groups, indicating enhanced reproducibility. The generated reliable parcellations were also largely consistent with other public atlases. We further explored the functional subunits in the striatum in a data set from 23 Parkinson's disease (PD) subjects and 27 age-matched healthy controls (HC). All putaminal subregions of PD demonstrated lower interhemispheric connectivity than those of HC, which might reflect imbalance in the pathological progression of PD. Such hypo-connectivity was also observed between putaminal subregions and other brain regions, reflecting neuroimaging manifestations of the altered cortico-striato-thalamo-cortical circuit. These observed weaker couplings were associated with PD severity and duration. Our results support the utilization of the DECBP framework and suggest that abnormal connectivity in putaminal subregions may be a potential indicator of PD.

Galvanic Vestibular Stimulation Improves Subnetwork Interactions in Parkinson's Disease.

Background: Activating vestibular afferents via galvanic vestibular stimulation (GVS) has been recently shown to have a number of complex motor effects in Parkinson's disease (PD), but the basis of these improvements is unclear. The evaluation of network-level connectivity changes may provide us with greater insights into the mechanisms of GVS efficacy. Objective: To test the effects of different GVS stimuli on brain subnetwork interactions in both health control (HC) and PD groups using fMRI. Methods: FMRI data were collected for all participants at baseline (resting state) and under noisy, 1 Hz sinusoidal, and 70-200 Hz multisine GVS. All stimuli were given below sensory threshold, blinding subjects to stimulation. The subnetworks of 15 healthy controls and 27 PD subjects (on medication) were identified in their native space, and their subnetwork interactions were estimated by nonnegative canonical correlation analysis. We then determined if the inferred subnetwork interaction changes were affected by disease and stimulus type and if the stimulus-dependent GVS effects were influenced by demographic features. Results: At baseline, interactions with the visual-cerebellar network were significantly decreased in the PD group. Sinusoidal and multisine GVS improved (i.e., made values approaching those seen in HC) subnetwork interactions more effectively than noisy GVS stimuli overall. Worsening disease severity, apathy, depression, impaired cognitive function, and increasing age all limited the beneficial effects of GVS. Conclusions: Vestibular stimulation has widespread system-level brain influences and can improve subnetwork interactions in PD in a stimulus-dependent manner, with the magnitude of such effects associating with demographics and disease status.

High-frequency repetitive transcranial magnetic stimulation over the primary motor cortex relieves musculoskeletal pain in patients with Parkinson's disease: A randomized controlled trial.

BACKGROUND: Pain is common in Parkinson's disease, and there is no effective treatment. We conducted a clinical trial to determine whether high-frequency repetitive transcranial magnetic stimulation over the primary motor cortex alleviates musculoskeletal pain in patients with Parkinson's disease. METHODS: In this single-center and double-blind trial, 52 patients with Parkinson's disease and musculoskeletal pain were randomly allocated to 26-member groups receiving 5 sessions of either 20-Hz repetitive transcranial magnetic stimulation or sham stimulation over the primary motor cortex. The participants underwent assessments in the "ON" medication state at baseline, after the fifth session, and at 2- and 4-week follow-up timepoints. The primary outcomes were pain scores on a numeric rating scale. The secondary outcomes were scores on clinical scales assessing motor symptoms, depression, anxiety, autonomic symptoms, sleep quality, and the overall severity of Parkinson's disease. RESULTS: Analyses revealed significant group × time interactions for numeric rating scale pain scores (p < 0.001), motor symptom scores (p < 0.001), depression scores (p = 0.009), anxiety scores (p = 0.013), and overall disease severity scores (p < 0.001). Post hoc analyses confirmed that the repetitive transcranial magnetic stimulation group, but not the sham stimulation group, exhibited significant improvements in numeric rating scale pain scores, motor symptom scores, depression scores, anxiety scores, and overall disease severity scores. CONCLUSION: High-frequency repetitive transcranial magnetic stimulation over the primary motor cortex may be an effective adjunct therapy for alleviating musculoskeletal pain in patients with Parkinson's disease.

Repetitive transcranial magnetic stimulation improves Parkinson's freezing of gait via normalizing brain connectivity.

Robust, effective treatments for Parkinson's freezing of gait remain elusive. Our previous study revealed beneficial effects of high-frequency rTMS over the supplementary motor area. The present study aims to explore the neural mechanisms of rTMS treatments utilizing novel exploratory multivariate approaches. We first conducted a resting-state functional MRI study with a group of 40 Parkinson's disease patients with freezing of gait, 31 without freezing of gait, and 30 normal controls. A subset of 30 patients with freezing of gait (verum group: N = 20; sham group: N = 10) who participated the aforementioned rTMS study underwent another scan after the treatments. Using the baseline scans, the imaging biomarkers for freezing of gait and Parkinson's disease were developed by contrasting the connectivity profiles of patients with freezing of gait to those without freezing of gait and normal controls, respectively. These two biomarkers were then interrogated to assess the rTMS effects on connectivity patterns. Results showed that the freezing of gait biomarker was negatively correlated with Freezing of Gait Questionnaire score (r = -0.6723, p < 0.0001); while the Parkinson's disease biomarker was negatively correlated with MDS-UPDRS motor score (r = -0.7281, p < 0.0001). After the rTMS treatment, both the freezing of gait biomarker (0.326 ± 0.125 vs. 0.486 ± 0.193, p = 0.0071) and Parkinson's disease biomarker (0.313 ± 0.126 vs. 0.379 ± 0.155, p = 0.0378) were significantly improved in the verum group; whereas no significant biomarker changes were found in the sham group. Our findings indicate that high-frequency rTMS over the supplementary motor area confers the beneficial effect jointly through normalizing abnormal brain functional connectivity patterns specifically associated with freezing of gait, in addition to normalizing overall disrupted connectivity patterns seen in Parkinson's disease.

Repetitive Transcranial Magnetic Stimulation Does Not Improve the Sequence Effect in Freezing of Gait.

INTRODUCTION: The sequence effect (SE) is a reason contributing to freezing of gait (FOG) in Parkinson's disease (PD) patients. There is no effective treatment for the SE. The objective of the current study is to investigate the effect of repetitive transcranial magnetic stimulation (rTMS) on the SE in PD patients with FOG. METHODS: 28 PD patients with FOG received either real or sham 10-Hz rTMS over the supplementary motor area (SMA). The effects of rTMS on the SE, FOG, and some gait parameters were evaluated. RESULTS: rTMS did not improve the SE. Real rTMS had beneficial effects on FOG and some gait parameters, and this effect lasted for at least four weeks. CONCLUSIONS: High-frequency rTMS over the SMA cannot alleviate the SE in PD patients with FOG. rTMS has a long-lasting beneficial effect on FOG; however, this effect is not achieved by improving the SE but may be through improving some other gait parameters.

Dynamic Graph Theoretical Analysis of Functional Connectivity in Parkinson's Disease: The Importance of Fiedler Value.

Graph theoretical analysis is a powerful tool for quantitatively evaluating brain connectivity networks. Conventionally, brain connectivity is assumed to be temporally stationary, whereas increasing evidence suggests that functional connectivity exhibits temporal variations during dynamic brain activity. Although a number of methods have been developed to estimate time-dependent brain connectivity, there is a paucity of studies examining the utility of brain dynamics for assessing brain disease states. Therefore, this paper aims to assess brain connectivity dynamics in Parkinson's disease (PD) and determine the utility of such dynamic graph measures as potential components to an imaging biomarker. Resting-state functional magnetic resonance imaging data were collected from 29 healthy controls and 69 PD subjects. Time-varying functional connectivity was first estimated using a sliding windowed sparse inverse covariance matrix. Then, a collection of graph measures, including the Fiedler value, were computed and the dynamics of the graph measures were investigated. The results demonstrated that PD subjects had a lower variability in the Fiedler value, modularity, and global efficiency, indicating both abnormal dynamic global integration and local segregation of brain networks in PD. Autoregressive models fitted to the dynamic graph measures suggested that Fiedler value, characteristic path length, global efficiency, and modularity were all less deterministic in PD. With canonical correlation analysis, the altered dynamics of functional connectivity networks, and particularly dynamic Fiedler value, were shown to be related with disease severity and other clinical variables including age. Similarly, Fiedler value was the most important feature for classification. Collectively, our findings demonstrate altered dynamic graph properties, and in particular the Fiedler value, provide an additional dimension upon which to non-invasively and quantitatively assess PD.

Validation of the utility of the Brief Smell Identification Test in Chinese patients with Parkinson's disease.

INTRODUCTION: Hyposmia is a common non-motor symptom occurring in Parkinson's disease (PD), and has been included in the diagnostic criteria. Although a version of the Brief Smell Identification Test (B-SIT) has been developed specifically for Chinese populations, there have been no reports of the utility of this test in the diagnosis of PD in China. OBJECTIVE: Considering the influence of cultural factors on olfactory test findings, we sought to investigate the utility and efficiency of the B-SIT in Chinese PD patients. METHODS: PD patients were recruited from the Movement Disorder Clinic of Xuanwu Hospital, and healthy controls were recruited from the Beijing Longitudinal Study on Aging Cohort II, between 2015 and 2016. The B-SIT was used for olfactory function testing in all subjects, and the familiarity of 59 odors questionnaire was performed for the investigation of familiarity of odors. RESULTS: A sample of 275 subjects participated in the study, including 112 healthy controls and 163 PD patients. The sensitivity (64.1%), specificity (83.9%), positive predictive value (83.5%) and negative predictive value (64.8%) for identifying PD were measured with the B-SIT. The consistency values between the results of self-reported smell loss and hyposmia identified by B-SIT in control and PD groups were 74.8% and 64.2%, respectively. Most of the odors in the B-SIT were familiar to people in the Chinese population, based on a survey of 3356 subjects using a familiarity questionnaire. CONCLUSIONS: It is recommended to use the B-SIT olfactory test instead of self-reported smell loss for PD diagnosis for Chinese.

High-frequency rTMS over the supplementary motor area improves freezing of gait in Parkinson's disease: a randomized controlled trial.

INTRODUCTION: Freezing of gait (FOG) contributes to falls in Parkinson's disease (PD), but robust, effective treatments remain elusive. There is evidence indicating that the supplementary motor area (SMA) plays an important role in the pathogenesis of FOG and may therefore be a potential neuromodulation target. The present study explored the clinical efficacy of high-frequency repetitive transcranial magnetic stimulation (rTMS) over the SMA on FOG in PD patients. METHODS: A group of 30 PD patients with FOG were enrolled in a randomized, double-blind, sham-controlled trial. Patients were randomly allocated 2:1 to receive ten sessions of either real (N = 20) or sham (N = 10) 10 Hz rTMS over SMA. The patients were assessed at baseline (T0), after the 5th (T1) and 10th (T2) sessions, and then 2 weeks (T3) and 4 weeks (T4) after the last session. The primary clinical outcome was the Freezing of Gait Questionnaire score (FOGQ), with the Movement Disorder Society-Unified Parkinson's Disease Rating Scale motor scores (MDS-UPDRS III) and Timed Up and Go test as secondary clinical outcomes. All the assessments were carried out at the "ON" state. RESULTS: With a four week's follow-up, there were significant interaction effects in the FOGQ (effect of group*time, p = 0.04), MDS-UPDRS III (p = 0.02) and several gait variables (total duration, p < 0.01; cadence, p = 0.04; turn duration, p = 0.01; and turn to sit duration, p = 0.02). Post-hoc analyses revealed a significantly decreased FOGQ score at T2 and T4, and significant improvements of MDS-UPDRS III and gait variables at T1, T2, T3 and T4 in the rTMS group. No significant improvements were found in the sham group. CONCLUSION: High-frequency rTMS over SMA may ultimately serve as an add-on therapy for alleviating FOG in PD patients.

Decreased subregional specificity of the putamen in Parkinson's Disease revealed by dynamic connectivity-derived parcellation.

Parkinson's Disease (PD) is associated with decreased ability to perform habitual tasks, relying instead on goal-directed behaviour subserved by different cortical/subcortical circuits, including parts of the putamen. We explored the functional subunits in the putamen in PD using novel dynamic connectivity features derived from resting state fMRI recorded from thirty PD subjects and twenty-eight age-matched healthy controls (HC). Dynamic functional segmentation of the putamina was obtained by determining the correlation between each voxel in each putamen along a moving window and applying a joint temporal clustering algorithm to establish cluster membership of each voxel at each window. Contiguous voxels that had consistent cluster membership across all windows were then considered to be part of a homogeneous functional subunit. As PD subjects robustly had two homogenous clusters in the putamina, we also segmented the putamina in HC into two dynamic clusters for a fair comparison. We then estimated the dynamic connectivity using sliding windowed correlation between the mean signal from the identified homogenous subunits and 56 other predefined cortical and subcortical ROIs. Specifically, the mean dynamic connectivity strength and connectivity deviation were then compared to evaluate subregional differences. HC subjects had significant differences in mean dynamic connectivity and connectivity deviation between the two putaminal subunits. The posterior subunit connected strongly to sensorimotor areas, the cerebellum, as well as the middle frontal gyrus. The anterior subunit had strong mean dynamic connectivity to the nucleus accumbens, hippocampus, amygdala, caudate and cingulate. In contrast, PD subjects had fewer differences in mean dynamic connectivity between subunits, indicating a degradation of subregional specificity. Overall UPDRS III and MoCA scores could be predicted using mean dynamic connectivity strength and connectivity deviation. Side of onset of the disease was also jointly related with functional connectivity features. Our results suggest a robust loss of specificity of mean dynamic connectivity and connectivity deviation in putaminal subunits in PD that is sensitive to disease severity. In addition, altered mean dynamic connectivity and connectivity deviation features in PD suggest that looking at connectivity dynamics offers an additional dimension for assessment of neurodegenerative disorders.

Author Correction: Altered resting-state brain activity in Parkinson's disease patients with freezing of gait.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.