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Background: Functional movement disorders include a wide spectrum of clinically documented movement disorders without an apparent organic substrate. Objective: To explore the functional connectivity (FC) of the primary motor (M1) cortex in functional dystonia (FD) patients relative to healthy controls, with a focus on different clinical phenotypes. Methods: Forty FD patients (12 fixed [FixFD]; 28 mobile [MobFD]) and 43 healthy controls (14 young FixFD-age-matched [yHC]; 29 old MobFD-age-matched [oHC]) underwent resting state fMRI. A seed-based FC analysis was performed using bilateral M1 as regions of interest. Results: Compared to controls, FD patients showed reduced FC between left M1 and left dorsal anterior cingulate cortex, and between right M1 and left M1, premotor/supplementary motor area (SMA), dorsal posterior cingulate cortex (PCC), and bilateral precuneus. Relative to yHC, FixFD patients showed reduced FC between M1 and precuneus bilaterally. Compared to oHC, MobFD patients revealed reduced FC between right M1 and left M1, premotor/SMA, dorsal-PCC, bilateral primary sensory cortices and parieto-occipital areas, and increased FC of right M1 with right associative visual cortex and bilateral ventral-PCC. FixFD patients, relative to MobFD, showed lower FC between the right M1 and right associative visual area, and bilateral precuneus and ventral-PCC. Conclusions: This study suggests an altered brain FC of the motor circuit with areas involved in emotional processes and sense of agency in FD. FixFD patients showed FC abnormalities mainly in areas related to sense of agency, while MobFD in regions involved in sensorimotor functions (reduced FC) and emotional processing (increased FC).

This study investigated longitudinal clinical, structural and functional brain alterations in Parkinson’s disease patients with freezing of gait (PD-FoG) and in those developing (PD-FoG-converters) and not developing FoG (PD-non-converters) over two years. Moreover, this study explored if any clinical and/or MRI metric predicts FoG development. Thirty PD-FoG, 11 PD-FoG-converters and 11 PD-non-converters were followed for two years. Thirty healthy controls were included at baseline. Participants underwent clinical and MRI visits. Cortical thickness, basal ganglia volumes and functional network graph metrics were evaluated at baseline and over time. In PD groups, correlations between baseline MRI and clinical worsening were tested. A ROC curve analysis investigated if baseline clinical and MRI measures, selected using a stepwise model procedure, could differentiate PD-FoG-converters from PD-non-converters. At baseline, PD-FoG patients had widespread cortical/subcortical atrophy, while PD-FoG-converters and non-converters showed atrophy in sensorimotor areas and basal ganglia relative to controls. Over time, PD-non-converters accumulated cortical thinning of left temporal pole and pallidum without significant clinical changes. PD-FoG-converters showed worsening of disease severity, executive functions, and mood together with an accumulation of occipital atrophy, similarly to PD-FoG. At baseline, PD-FoG-converters relative to controls and PD-FoG showed higher global and parietal clustering coefficient and global local efficiency. Over time, PD-FoG-converters showed reduced parietal clustering coefficient and sensorimotor local efficiency, PD-non-converters showed increased sensorimotor path length, while PD-FoG patients showed stable graph metrics. Stepwise prediction model including dyskinesia, postural instability and gait disorders scores and parietal clustering coefficient was the best predictor of FoG conversion. Combining clinical and MRI data, ROC curves provided the highest classification power to predict the conversion (AUC = 0.95, 95%CI: 0.86–1). Structural MRI is a useful tool to monitor PD progression, while functional MRI together with clinical features may be helpful to identify FoG conversion early.

Parkinson’s disease (PD) guidelines lack clear criteria for genetic evaluation. We assessed the yield and rationale of genetic testing for PD in a routine clinical setting on a multicenter cohort of 149 early-onset and familial patients by exome sequencing and semi-quantitative multiplex ligation-dependent probe amplification of evidence-based PD-associated gene panel. We show that genetic testing for PD should be considered for both early-onset and familial patients alike, and a clinical yield of about 10% in the Caucasian population can be expected.

Background The THAP1 gene encodes a transcription factor, and pathogenic variants cause a form of autosomal dominant, isolated dystonia (DYT-THAP1) with reduced penetrance. Factors underlying both reduced penetrance and the disease mechanism of DYT-THAP1 are largely unknown. Methods We performed transcriptome analysis on 29 cortical neuronal precursors derived from human-induced pluripotent stem cell lines generated from manifesting and nonmanifesting THAP1 mutation carriers and control individuals. Results Whole transcriptome analysis showed a penetrance-linked signature with expressional changes more pronounced in the group of manifesting (MMCs) than in nonmanifesting mutation carriers (NMCs) when compared to controls. A direct comparison of the transcriptomes in MMCs versus NMCs showed significant upregulation of the DRD4 gene in MMCs. A gene set enrichment analysis demonstrated alterations in various neurotransmitter release cycle pathways, extracellular matrix organization, and deoxyribonucleic acid methylation between MMCs and NMCs. When specifically considering transcription factors, the expression of YY1 and SIX2 differed in MMCs versus NMCs. Further, THAP1 was upregulated in the group of MMCs. Conclusions To our knowledge, this is the first report systematically analyzing reduced penetrance in DYT-THAP1 in a human model using transcriptomes. Our findings indicate that transcriptional alterations during cortical development influence DYT-THAP1 pathogenesis and penetrance. We reinforce previously linked pathways including dopamine and eukaryotic translation initiation factor 2 alpha signaling in the pathogenesis of dystonia including DYT-THAP1 and suggest extracellular matrix organization and deoxyribonucleic acid methylation as mediators of disease protection. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Introduction: Although one of the most common monogenic late-onset neurodegenerative disorders, fragile-X-associated tremor/ataxia syndrome (FXTAS) is still underdiagnosed. The aim of the present s...

Parkinson’s disease (PD) patients can be classified in tremor-dominant (TD) and postural-instability-and-gait-disorder (PIGD) motor subtypes. PIGD represents a more aggressive form of the disease that TD patients have a potentiality of converting into. This study investigated functional alterations within the cerebro-cerebellar system in PD-TD and PD-PIGD patients using stepwise functional connectivity (SFC) analysis and identified neuroimaging features that predict TD to PIGD conversion. Thirty-two PD-TD, 26 PD-PIGD patients and 60 healthy controls performed clinical/cognitive evaluations and resting-state functional MRI (fMRI). Four-year clinical follow-up data were available for 28 PD-TD patients, who were classified in 10 converters (cTD-PD) and 18 non-converters (ncTD-PD) to PIGD. The cerebellar seed-region was identified using a fMRI motor task. SFC analysis, characterizing regions that connect brain areas to the cerebellar seed at different levels of link-step distances, evaluated similar and divergent alterations in PD-TD and PD-PIGD. The discriminatory power of clinical data and/or SFC in distinguishing cPD-TD from ncPD-TD patients was assessed using ROC curve analysis. Compared to PD-TD, PD-PIGD patients showed decreased SFC in temporal lobe and occipital lobes and increased SFC in cerebellar cortex and ponto-medullary junction. Considering the subtype-conversion analysis, cPD-TD patients were characterized by increased SFC in temporal and occipital lobes and in cerebellum and ponto-medullary junction relative to ncPD-TD group. Combining clinical and SFC data, ROC curves provided the highest classification power to identify conversion to PIGD. These findings provide novel insights into the pathophysiology underlying different PD motor phenotypes and a potential tool for early characterization of PD-TD patients at risk of conversion to PIGD.

Previous studies suggested that brain regions subtending affective‐cognitive processes can be implicated in the pathophysiology of functional dystonia (FD). In this study, the role of the affective‐cognitive network was explored in two phenotypes of FD: fixed (FixFD) and mobile dystonia (MobFD). We hypothesized that each of these phenotypes would show peculiar functional connectivity (FC) alterations in line with their divergent disease clinical expressions. Resting state fMRI (RS‐fMRI) was obtained in 40 FD patients (12 FixFD; 28 MobFD) and 43 controls (14 young FixFD‐age‐matched [yHC]; 29 old MobFD‐age‐matched [oHC]). FC of brain regions of interest, known to be involved in affective‐cognitive processes, and independent component analysis of RS‐fMRI data to explore brain networks were employed. Compared to HC, all FD patients showed reduced FC between the majority of affective‐cognitive seeds of interest and the fronto‐subcortical and limbic circuits; enhanced FC between the right affective‐cognitive part of the cerebellum and the bilateral associative parietal cortex; enhanced FC of the bilateral amygdala with the subcortical and posterior cortical brain regions; and altered FC between the left medial dorsal nucleus and the sensorimotor and associative brain regions (enhanced in MobFD and reduced in FixFD). Compared with yHC and MobFD patients, FixFD patients had an extensive pattern of reduced FC within the cerebellar network, and between the majority of affective‐cognitive seeds of interest and the sensorimotor and high‐order function (“cognitive”) areas with a unique involvement of dorsal anterior cingulate cortex connectivity. Brain FC within the affective‐cognitive network is altered in FD and presented specific features associated with each FD phenotype, suggesting an interaction between brain connectivity and clinical expression of the disease.

Highlights • In this study we characterized in vivo large-scale propagation pathways of α-synuclein pathology and identified different patterns of functional connectivity disruptions in PD patients at different stages of the disease. • Our results identified key genetic signatures of large-scale PD pathology, highlighting their contribution to focal neuronal vulnerability to disease progression. • Our results pave the way toward better accounting for the brain networks complexity and mechanisms underlying distinct spatial vulnerability to PD pathology, thus informing early diagnosis and future novel therapeutic strategies., The genetic traits that underlie vulnerability to neuronal damage across specific brain circuits in Parkinson’s disease (PD) remain to be elucidated. In this study, we characterized the brain topological intersection between propagating connectivity networks in controls and PD participants and gene expression patterns across the human cortex – such as the SNCA gene. We observed that brain connectivity originated from PD-related pathology epicenters in the brainstem recapitulated the anatomical distribution of alpha-synuclein histopathology in postmortem data. We also discovered that the gene set most related to cortical propagation patterns of PD-related pathology was primarily involved in microtubule cellular components. Thus, this study sheds light on new avenues for enhancing detection of PD neuronal vulnerability via an evaluation of in vivo connectivity trajectories across the human brain and successful integration of neuroimaging-genetic strategies.

Background White matter hyperintensities (WMHs) have a role in cognitive impairment in normal brain aging, while the effect on Parkinson's disease (PD) progression is still controversial. Objective To investigate the longitudinal evolution of micro- and macrostructural damage of cerebral white matter (WM) and its relationship with the clinical picture in PD. Methods A total of 154 PD patients underwent clinical, cognitive, and magnetic resonance imaging (MRI) assessment once a year for up to 4 years. Sixty healthy controls underwent the same protocol at baseline. WMHs were identified and total WMH volume was measured. WMHs were also used as exclusion masks to define normal-appearing white matter (NAWM). Using tract-based spatial statistics, diffusion tensor (DT) MRI metrics of whole-brain WM and NAWM were obtained. Linear mixed-effects models defined the longitudinal evolution and association between variables. WM alterations were tested as risk factors of disease progression using linear regression and Cox proportional hazards models. Results At baseline, PD patients showed alterations of all DT MRI measures compared to controls. Longitudinally, DT MRI measures did not vary significantly and no association with clinical variables was found. WMH volume changed over time and was associated with impairment in global cognition, executive functions, and language. Baseline WMH volume was a moderate risk factor for progression to mild cognitive impairment. Conclusions Our study suggests an association between WMHs and cognitive deterioration in PD, whereas WM microstructural damage is a negligible contributor to clinical deterioration. WMHs assessed by MRI can provide an important tool for monitoring the development of cognitive impairment in PD patients. © 2021 International Parkinson and Movement Disorder Society.

Clinical correlates of autonomic nervous system (ANS) dysfunction in early Parkinson's disease (PD) have been addressed mainly in a cross-sectional way.This is a combined cross-sectional and longitudinal prospective study of ANS dysfunction using the SCOPA-AUT in PD patients at the Hoehn and Yahr stage 1 with disease duration2 years. PD patients (n = 107) were compared to healthy controls (HC, n = 79), and then followed-up for over 3 years. The severity of PD, depression, anxiety, apathy and cognitive impairment were evaluated using rating scales.At least one symptom of ANS dysfunction was present in 71% of PD patients in comparison to 30.4% of HC, and in all PD patients after three years. The overall severity of dysautonomia symptoms was mild (SCOPA-AUT mean ± SD; 4.16 ± 5.0), but worsened by 23%, 86% and 0.3% during the 1st, 2nd and 3rd year respectively. Nighttime voiding (38.3%), constipation (30.8%) and straining for defecation (29%) were the most common symptoms. Prevalence and severity of urinary, gastrointestinal, and orthostatic symptoms increased, in contrast to thermoregulatory and pupillomotor symptoms. Frequency of symptoms suggestive of multi-domain ANS dysfunction rose from 49% to 79%. Psychiatric symptoms and age, but not motor impairment, were associated with dysautonomia symptoms.Symptoms of ANS dysfunction were frequent in the initial motor stage of PD and progressed, yet remaining mild, within 3 years. An independent progression of dysautonomia symptoms from motor disability and its associations with non-motor, mainly psychiatric symptoms and age support the non-motor clustering in PD.

Background: Recent studies explored polymorphisms of multiple genes as contributing to genetic susceptibility to psychosis in Parkinson’s disease (PDP). Objective: We aimed to examine the association of seven selected polymorphisms of genes related to dopamine pathways with PDP development. At the same time, demographic and clinical correlates of PDP were assessed. Methods: PD patients (n = 234), treated with levodopa for at least two years, were genotyped for the rs4680 in COMT, rs6277, rs1076560, and rs2283265 in DRD2, and rs1800497 and rs2734849 polymorphisms in ANKK1 genes. Also, variable number of tandem repeats polymorphism in the DAT gene was examined. Each patient underwent comprehensive neurological examination, assessment of psychosis, as defined by the NINDS/NIMH criteria, as well as screening of depression, anxiety, and cognitive status. Results: Diagnostic criteria for PDP were met by 101 (43.2%) patients. They had longer disease duration, were taking higher doses of dopaminergic agents, and had higher scores of the motor and non-motor scales than the non-PDP group. Multivariate regression analysis revealed LEDD≥900 mg, Unified Parkinson’s Disease Rating Scale III part score, the Hamilton Depression Rating Scale score≥7, the Hamilton Anxiety Rating Scale score > 14,and GG homozygotes of rs2734849 ANKK1 as independent predictors of the onset of PDP. Conclusion: Besides previous exposure to dopaminergic drugs, impairment of motor status, depression and anxiety, as well-established clinical risk factors for the development of PDP, GG rs2734849 ANKK1 could also be a contributing factor, which requires addressing by future longitudinal studies.

This study aimed to identify functional neuroimaging patterns anticipating the clinical indication for deep brain stimulation (DBS) in patients with Parkinson’s disease (PD). A cohort of prospectively recruited patients with PD underwent neurological evaluations and resting-state functional MRI (RS-fMRI) at baseline and annually for 4 years. Patients were divided into two groups: 19 patients eligible for DBS over the follow-up and 41 patients who did not meet the criteria to undergo DBS. Patients selected as candidates for DBS did not undergo surgery at this stage. Sixty age- and sex-matched healthy controls performed baseline evaluations. Graph analysis and connectomics assessed global and local topological network properties and regional functional connectivity at baseline and at each time point. At baseline, network analysis showed a higher mean nodal strength, local efficiency, and clustering coefficient of the occipital areas in candidates for DBS over time relative to controls and patients not eligible for DBS. The occipital hyperconnectivity pattern was confirmed by regional analysis. At baseline, a decreased functional connectivity between basal ganglia and sensorimotor/frontal networks was found in candidates for DBS compared to patients not eligible for surgery. In the longitudinal analysis, patient candidate for DBS showed a progressively decreased topological brain organization and functional connectivity, mainly in the posterior brain networks, and a progressively increased connectivity of basal ganglia network compared to non-candidates for DBS. RS-fMRI may support the clinical indication to DBS and could be useful in predicting which patients would be eligible for DBS in the earlier stages of PD.

Objective: To study the longitudinal disease course of Parkinson’s disease (PD) patients with glucocerebrosidase (GBA) mutation (GBA-positive) compared to PD non-carriers (GBA-negative) along a 5-year follow-up, evaluating changes in clinical and cognitive outcomes, cortical thickness, and gray-matter (GM) volumes. Methods: Ten GBA-positive and 20 GBA-negative PD patients underwent clinical, neuropsychological, and MRI assessments (cortical thickness and subcortical, hippocampal, and amygdala volumes) at study entry and once a year for 5 years. At baseline and at the last visit, each group of patients was compared with 22 age-matched healthy controls. Clinical, cognitive, and MRI features were compared between groups at baseline and over time. Results: At baseline, GBA-positive and GBA-negative PD patients had similar clinical and cognitive profiles. Compared to GBA-negative and controls, GBA-positive patients showed cortical thinning of left temporal, parietal, and occipital gyri. Over time, compared to GBA-negative, GBA-positive PD patients progressed significantly in motor and cognitive symptoms, and showed a greater pattern of cortical thinning of posterior regions, and frontal and orbito-frontal cortices. After 5 years, compared to controls, GBA-negative PD patients showed a pattern of cortical thinning similar to that showed by GBA-positive cases at baseline. The two groups of patients showed similar patterns of subcortical, hippocampal, and amygdala volume loss over time. Conclusions: Compared to GBA-negative PD, GBA-positive patients experienced a more rapid motor and cognitive decline together with a greater, earlier and faster cortical thinning. Cortical thickness measures may be a useful tool for monitoring and predicting PD progression in accordance with the genetic background.

Objectives Wilson disease (WD) is an autosomal recessive disorder that leads to copper accumulation and deposition in different organs, frequently affecting visual pathways. Recent studies have detected morphological changes of the retina in patients with WD using optical coherence tomography (OCT). Measuring the thickness of the retinal nerve fibre layer (RNFL) with OCT provides an objective assessment of integrity and morphological abnormalities of the retina. The aim of this study was to evaluate the relationship between OCT parameters and form of the disease, therapy and symptoms duration, as well as severity of neurological impairment. Methods The study comprised of 52 patients with WD and 52 healthy controls (HC). All the patients were on a regular and stable chelation therapy and/or zinc salts. Patients were divided into two groups, with neurological (NWD) or hepatic form of the disease (HWD). OCT was performed to assess the RNFL thickness. Results The WD patients had significantly lower intraocular pressure in both eyes and lower RNFL thickness than the HC. There were no differences between NWD and HWD in any of the ophthalmologically tested parameters. No significant correlations were found between clinical features and retinal thickness parameters. Stratification of the cohort according to the disease duration showed that disease duration did not influence the RNFL thickness. Conclusion We found that involvement of the retina represented a subclinical finding in neurologically intact patients in the HWD group. Nevertheless, the value of OCT as a biomarker for the assessment of the clinical course and progression of WD still remains uncertain.

GCH1 gene encodes the guanosine-5'-triphosphate (GTP) cyclohydrolase 1 (GTP-CH1), which is the enzyme involved in the first and rate-limiting step of the de novo biosynthesis of tetrahydrobiopterin and an essential cofactor for the synthesis of dopamine in nigrostriatal neurons. GCH1 mutation is the most common cause of the DOPA-responsive dystonia (DRD).1 This rare autosomal-dominant movement disorder is characterised predominantly by limb dystonia during childhood, although parkinsonian features may also be present.1 The hallmark of the disease is an excellent and sustained response to small doses of levodopa, generally without the occurrence of motor complications.1 Lack of changes in neuropathological and in majority of dopaminergic imaging studies in patients with GCH1 -related DRD suggest that this is a neurotransmitter rather than a neurodegenerative disorder.1 However, case reports showed a nigrostriatal dopaminergic denervation (abnormal DaTSCAN) in some individuals carrying GCH1 mutation with adult-onset dystonia-parkinsonism.2 Residual symptoms might partially result from a lack of timely therapy, possibly suggesting underlying neurodegeneration. It has been hypothesised that, after a period of compensation, chronic reduction of dopamine levels resulting from GTP-CH1 deficiency could predispose to nigral cell damage by making them more vulnerable to environmental or other genetic factors.2 To the best of our knowledge, no MRI studies have been performed to assess the presence of structural damage supporting the possible neurodegenerative process underlying DRD. In order to fill the gap in line with previous suggestions, in this study we used structural MRI (1.5 T) to evaluate patterns of cortical thickness, basal ganglia volumes, and white matter (WM) microstructural alterations …

Background The neural basis of task specificity in dystonia is still poorly understood. This study investigated gray and white matter (WM) brain alterations in patients with task-specific dystonia (TSD) and non-task-specific dystonia (NTSD). Methods Thirty-six patients with TSD (spasmodic dysphonia, writer's cramp), 61 patients with NTSD (blepharospasm, cervical dystonia), and 83 healthy controls underwent 3D T1-weighted and diffusion tensor magnetic resonance imaging (MRI). Whole brain cortical thickness and voxel-based morphometry; volumes of basal ganglia, thalamus, nucleus accumbens, amygdala, and hippocampus; and WM damage were assessed. Analysis of variance models were used to compare MRI measures between groups, adjusting for age and botulinum toxin (BoNT) treatment. Results The comparison between focal dystonia patients showed cortical thickness and gray matter (GM) volume differences (ie, decreased in NTSD, increased in TSD) in frontal, parietal, temporal, and occipital cortical regions; basal ganglia; thalamus; hippocampus; and amygdala. Cerebellar atrophy was found in NTSD patients relative to controls. WM damage was more severe and widespread in task-specific relative to NTSD patients. TSD patients receiving BoNT, relative to nontreated patients, had cortical thickening and increased GM volume in frontoparietal, temporal, and occipital regions. NTSD patients experiencing pain showed cortical thickening of areas involved in pain-inhibitory mechanisms. Conclusions TSD and NTSD are characterized by opposite alterations of the main cortical and subcortical sensorimotor and cognitive-controlling brain structures, suggesting the possible presence of different pathophysiological and/or compensatory mechanisms underlying the complexity of the two clinical phenotypes of focal dystonia. © 2020 International Parkinson and Movement Disorder Society.

Recent research shows that patients with multiple system atrophy (MSA) have significant cognitive and neuropsychiatric comorbidities that can color the clinical presentation of the disease and affect their quality of life. The aims of this study were to determine the neuropsychiatric profile in a cohort of patients with the parkinsonian type of MSA (MSA-P) and their dynamic changes over a 1-year follow-up period and to compare rates of neuropsychiatric symptoms (NPSs) reported by caregivers and the patients themselves.Forty-seven patients were assessed at baseline; of these, 25 were assessed again after 1 year. NPS assessment tools included the Neuropsychiatric Inventory (NPI), the Beck Depression Inventory, the Hamilton Depression Rating Scale, the Hamilton Anxiety Rating Scale, and the Apathy Evaluation Scale.The prevalence of NPSs in patients with MSA-P was very high, with depression, sleep disturbances, apathy, and anxiety being the most frequently occurring features. The evolution of NPSs was found to be independent of motor, autonomic, and cognitive symptoms. None of the scales measuring NPSs, including the NPI, were capable of detecting changes over the 1-year follow-up period. Although the overall prevalence of depression, apathy, and anxiety obtained from caregivers and the patients themselves was similar, reports from these two sources cannot be considered interchangeable.The progression of neuropsychiatric symptoms was not a subject of rapid change in MSA-P, in contrast to the observed motor, autonomic, and cognitive deterioration. These findings suggest the need to investigate the utility of available instruments in capturing the evolution of NPSs in MSA over time.

BACKGROUND: Little information is available on the official postgraduate and subspecialty training programs in movement disorders (MD) in Europe and North Africa.OBJECTIVE: To survey the accessible MD clinical training in these regions.METHODS: We designed a survey on clinical training in MD in different medical fields, at postgraduate and specialized levels. We assessed the characteristics of the participants and the facilities for MD care in their respective countries. We examined whether there are structured, or even accredited postgraduate, or subspecialty MD training programs in neurology, neurosurgery, internal medicine, geriatrics, neuroradiology, neuropediatrics, and general practice. Participants also shared their suggestions and needs.RESULTS: The survey was completed in 31/49 countries. Structured postgraduate MD programs in neurology exist in 20 countries; structured neurology subspecialty training exists in 14 countries and is being developed in two additional countries. Certified neurology subspecialty training was reported to exist in 7 countries. Recommended reading lists, printed books, and other materials are the most popular educational tools, while courses, lectures, webinars, and case presentations are the most popular learning formats. Mandatory activities and skills to be certified were not defined in 15/31 countries. Most participants expressed their need for a mandatory postgraduate MD program and for certified MD sub-specialization programs in neurology.CONCLUSION: Certified postgraduate and subspecialty training exists only in a minority of European countries and was not found in the surveyed Egypt and Tunisia. MD training should be improved in many countries.

Background The objectives of this study were to investigate progressive cortical thinning and volume loss in Parkinson's disease (PD) patients with different longitudinal patterns of cognitive decline: with stable normal cognition, with stable mild cognitive impairment, with conversion to mild cognitive impairment, and with conversion to dementia. Methods We recruited 112 patients (37 Parkinson's disease with stable normal cognition, 20 Parkinson's disease with stable mild cognitive impairment, 36 Parkinson's disease with conversion to mild cognitive impairment, 19 Parkinson's disease with conversion to dementia) and 38 healthy controls. All patients underwent at least 2 visits within 4 years including clinical/cognitive assessments and structural MRI (total visits, 393). Baseline cortical thickness and gray matter volumetry were compared between groups. In PD, gray matter changes over time were investigated and compared between groups. Results At baseline, compared with Parkinson's disease with stable normal cognition cases, Parkinson's disease with conversion to mild cognitive impairment patients showed cortical atrophy of the parietal and occipital lobes, similar to Parkinson's disease with stable mild cognitive impairment and Parkinson's disease with conversion to dementia patients. The latter groups (ie, patients with cognitive impairment from the study entry) showed additional involvement of the frontotemporal cortices. No baseline volumetric differences among groups were detected. The longitudinal analysis (group-by-time interaction) showed that, versus the other patient groups, Parkinson's disease with stable mild cognitive impairment and Parkinson's disease with conversion to dementia cases accumulated the least cortical damage, with Parkinson's disease with conversion to dementia showing unique progression of right thalamic and hippocampal volume loss; Parkinson's disease with conversion to mild cognitive impairment patients showing specific cortical thinning accumulation in the medial and superior frontal gyri, inferior temporal, precuneus, posterior cingulum, and supramarginal gyri bilaterally; and Parkinson's disease with stable normal cognition patients showing cortical thinning progression, mainly in the occipital and parietal regions bilaterally. Conclusions Cortical thinning progression is more prominent in the initial stages of PD cognitive decline. The involvement of frontotemporoparietal regions, the hippocampus, and the thalamus is associated with conversion to a more severe stage of cognitive impairment. In PD, gray matter alterations of critical brain regions may be an MRI signature for the identification of patients at risk of developing dementia. © 2020 International Parkinson and Movement Disorder Society.

Highlights • Cortical and subcortical atrophy is accelerated early after the onset of PD. • Brain atrophy in PD progressed with cognitive, non-motor and mood deficits. • Structural MRI may be useful for predicting disease progression in PD., Clinical manifestations and evolution are very heterogeneous among individuals with Parkinson’s disease (PD). The aims of this study were to investigate the pattern of progressive brain atrophy in PD according to disease stage and to elucidate to what extent cortical thinning and subcortical atrophy are related to clinical motor and non-motor evolution. 154 patients at different PD stages were assessed over time using motor, non-motor and structural MRI evaluations for a maximum of 4 years. Cluster analysis defined clinical subtypes. Cortical thinning and subcortical atrophy were assessed at baseline in patients relative to 60 healthy controls. Longitudinal trends of brain atrophy progression were compared between PD clusters. The contribution of brain atrophy in predicting motor, non-motor, cognitive and mood deterioration was explored. Two main PD clusters were defined: mild (N = 87) and moderate-to-severe (N = 67). Two mild subtypes were further identified: mild motor-predominant (N = 43) and mild-diffuse (N = 44), with the latter group being older and having more severe non-motor and cognitive symptoms. The initial pattern of brain atrophy was more severe in patients with moderate-to-severe PD. Over time, mild-diffuse PD patients had the greatest brain atrophy accumulation in the cortex and the left hippocampus, while less distributed atrophy progression was observed in moderate-to-severe and mild motor-predominant patients. Baseline and 1-year cortical thinning was associated with long-term progression of motor, cognitive, non-motor and mood symptoms. Cortical and subcortical atrophy is accelerated early after the onset of PD and becomes prominent in later stages of disease according to the development of cognitive, non-motor and mood dysfunctions. Structural MRI may be useful for monitoring and predicting disease progression in PD.

Introduction Impulsive compulsive behaviors (ICBs) in Parkinson's disease (PD) are debilitating disorders of repetitive, excessive, and compulsive nature affecting up to one third of PD patients. Objectives are to address clinical, psychiatric, and cognitive characteristics of ICBs and to define risk factors in PD patients in the initial motor stage, followed up for 5 years. Methods We analyzed 106 consecutive PD outpatients at Hoehn and Yahr disease stage 1 and 125 healthy controls. The participants were assessed for the presence of any ICB using the current clinical criteria and underwent comprehensive clinical, psychiatric, and neuropsychological evaluations. The patients completed the same protocol at Years 1, 2, 3, and 5. Results ICBs were present in 21 (19.8%) PD patients and 13 (10.4%) healthy controls at baseline. Prevalence of ICBs increased to 29.2% at Year 5, significantly after Year 2. Multiple ICBs were present in 4,7% and 61.9% of PD-ICBs at the baseline and Year 5, respectively. ICBs resolved in 30% of cases (most often compulsive eating). Dopamine agonist treatment at the baseline carried five times higher risk of having or developing ICB(s) anytime during follow-up. We identified risk factors for compulsive eating (dopamine agonist treatment at baseline), hypersexuality (males), compulsive buying (depression and younger age), and punding (younger age and higher levodopa dose at baseline). Significant interaction of rate of motor progression and ICB diagnosis was shown. Conclusions PD patients showed increasing frequency of most ICBs during the 5-year follow-up. Specific risk factors were identified for different types of ICBs.

In this multiparametric, cross-sectional study, we aimed to investigate cognitive impairment and brain structural changes in patients with multiple system atrophy (MSA)-parkinsonian variant (MSA-p). Twenty-six MSA-p patients and 19 controls underwent clinical and neuropsychological evaluation and 1.5T brain MRI scan. Cortical thickness measures and volumes of deep grey matter structures were obtained. A regression analysis correlated MRI metrics with clinical features in MSA-p patients. Almost 46% of MSA-p patients showed a mild cognitive impairment involving mainly attentive-executive and memory domains. Apathy and depression were found in half of MSA-p patients. MSA-p patients showed significant cortical thinning of fronto-temporal-parietal regions and atrophy of periaqueductal grey matter, left cerebellar hemisphere, left pallidum and bilateral putamen, compared to controls. Cortical thinning in temporal regions correlated with global cognitive status and memory impairment. Grey matter cerebellar atrophy correlated with motor deficits. MSA-p patients showed a multidomain cognitive impairment with a prominent cortical damage in anterior more than posterior brain regions and grey matter volume reduction in subcortical structures. Cortical and subcortical structural changes might lead to cognitive dysfunction in MSA-p.

The aim of this study was to identify the main contributors to the health-related quality of life (HRQoL) in multiple system atrophy with predominant parkinsonism (MSA-P) and to determine the usefulness of SF-36 in capturing the HRQoL changes over 1-year follow-up. A total of 45 MSA-P and 150 Parkinson’s disease (PD) patients were studied. The hierarchical multiple regression analysis was conducted to identify predictors of the SF-36 total score. The magnitude of any change for the HRQoL over 1-year of follow-up, was calculated as an effect size. The average scores for each SF-36 domains, except for the bodily pain, were lower in MSA-P than in PD patients (p

This study identified structural and functional brain connectivity alterations in two independent samples of patients along the posterior cortical atrophy (PCA) disease course. Twenty-one PCA patients and 44 controls were recruited from two expert centres. Microstructural damage of white matter (WM) tracts was assessed using probabilistic tractography; resting state (RS) functional connectivity of brain networks was explored using a model free approach; grey matter (GM) atrophy was investigated using voxel-based morphometry. Compared with controls, common patterns of damage across PCA patients included: GM atrophy in the occipital-temporal-parietal regions; diffusion tensor (DT) MRI alterations of the corpus callosum and superior (SLF) and inferior longitudinal fasciculi (ILF) bilaterally; and decreased functional connectivity of the occipital gyri within the visual network and the precuneus and posterior cingulum within the default mode network (DMN). In PCA patients with longer disease duration and greater disease severity, WM damage extended to the cingulum and RS functional connectivity alterations spread within the frontal, dorsal attentive and salience networks. In PCA, reduced DMN functional connectivity was associated with SLF and ILF structural alterations. PCA patients showed distributed WM damage. Altered RS functional connectivity extends with disease worsening from occipital to temporo-parietal and frontostriatal regions, and this is likely to occur through WM connections. Future longitudinal studies are needed to establish trajectories of damage spreading in PCA and whether a combined DT MRI/RS functional MRI approach is promising in monitoring the disease progression., Highlights • PCA patients showed distributed WM damage. • In PCA, WM damage is associated with longer disease duration ad greater severity. • In PCA, altered RS functional connectivity extends with disease worsening.

Background GTP cyclohydrolase 1-deficient DOPA-responsive dystonia, caused by autosomal dominant mutation in the gene coding for GTP cyclohydrolase 1, is a rare disorder with a reported prevalence of 0.5 per million. A correct diagnosis of DRD is crucial, given that this is an exquisitely treatable neurogenetic disorder. Although genetic testing is now widely available, we hypothesize that DRD is still underdiagnosed and its prevalence underestimated. Methods Molecular genetic analysis of the GCH1 gene was performed in a representative cohort of 47 Serbian patients with clinical features of DRD and in their 16 available relatives. The DRD prevalence rate in Serbia was estimated based on population size, catchment area, and the centralized Serbian referral system for rare diseases. Results We identified 9 different GCH1 mutations in 23 individuals from 11 families, 5 of which are novel. Patients displayed a broad range of clinical phenotypes. The estimated prevalence of GCH1 -related DOPA-responsive dystonia in Serbia was 2.96 per million individuals and there was no evidence for a common founder. Conclusions Our data expand the genotypic spectrum of GCH1 and confirm the broad phenotypic spectrum of DRD in the Serbian population. The number of detected mutation carriers in this sample implies that the frequency of DRD in the Serbian population is considerably higher than expected based on published prevalence rates, suggesting that the prevalence of this treatable disease should be revisited also in other populations.

The fixed dystonia phenotype was originally established as a prototype of functional dystonia. Nevertheless, in recent reports different functional dystonia phenotypes have been recognized with dystonic movement comprising phasic instead of tonic contraction. To examine clinical characteristic in all patients with dystonia who fulfilled the criteria for functional movement disorders irrespective of phenotype in an attempt to determine parameters of clinical presentations that might impact the disease progression pattern and outcome. Patients presented with dystonia features incompatible with organic disease without other features required for the diagnosis of functional movement disorders were analyzed and prospectively followed-up. The two-step cluster analysis was performed to obtain the subgroups of dystonia phenotypes. The two-step cluster analysis extracted two subgroup of patients. Patients of the first cluster (68.8%) presented with “mobile” dystonia (84.9%), of cranial/neck/trunk localization (90.9%), fluctuated clinical course (69.7%), with frequent additional movement or other functional neurological disorders (63.6%) during follow-up. In the second cluster (31.2%) all of the patients presented with “fixed” dystonia of extremities, and the clinical course was characterized by either the disease progression (60%), or continuous without improvement (26.7%), and rare occurrence of additional functional neurological disorders (13.3%). In terms of clinical and demographic features as well as pattern of disease progression there are two clinical phenotypes in patients with functional dystonia. Distinctive features of incongruence and inconstancy are characteristic for “mobile” functional dystonia subgroup of patients.

Objectives To describe circumstances of near-falls among persons with Parkinson's disease (PD), assess factors associated with near-falling and assess whether near-falls in the first 6 months are associated with falling in the latter 6 months over one year of follow-up. Materials and methods In the period August 2011-December 2012, 120 consecutive persons with PD, who denied having fallen in the past 6 months, were recruited at Clinical center of Serbia in Belgrade. Occurrence of falling and near-falls was followed for one year. Results A total of 31 persons with PD (25.8%) experienced near-falls, but did not fall. Of 42 fallers, 32 (76.2%) experienced near-falls. Tripping was the most common cause of near-falls among fallers, whereas postural instability was the most common in non-fallers. Regardless of falling experience, the most common manner to avoid fall was holding onto furniture or wall. After adjustment for multiple motor and non-motor PD features, more severe freezing of gait was associated with occurrence of near-falls over one year of follow-up (odds ratio [OR] = 1.08, 95% confidence interval [CI] 1.01–1.16; p = 0.043). Adjusted regression analysis did not show associations between near-falling in the first 6 months and falling in the latter 6 months of follow-up. Conclusion Near-falls commonly occur in persons with PD. More severe freezing of gait appears to predispose near-falling. Fall prevention programs focusing on balance maintenance when experiencing freezing of gait could potentially be useful in reduction of near-falls.

Symptoms of Parkinson's disease (PD) progress over time causing significant disability. Yet, change in disability over shorter time periods has not been entirely understood. The purpose of this study was to assess the Self-Assessment Disability Scale (SADS) in persons with Parkinson's disease (PD) after 2 years of follow-up and compare it with the score observed at baseline. Additionally, we aimed at evaluating association of motor and non-motor PD features at baseline with a higher disability after 2 years of follow-up. A total of 120 consecutive persons with PD, who denied falling in the past 6 months, were initially recruited. After 2 years of follow-up, 88 (73.3%) persons with PD were evaluated for SADS. The total disability (SADS) score did not change after follow-up (p = 0.529). We observed increase in difficulty at "Getting out of bed" (p = 0.006), "Getting up out of armchair" (p = 0.013), "Walking about house/flat" (p = 0.003), "Walking outside" (p = 0.010), and "Traveling by public transport" (p = 0.014). After adjusting for several potential confounding factors, falls in the past year (β = 8.32, 95% confidence interval (CI) 1.04-15.59) and higher Unified Parkinson's Disease Rating Scale part 3 at baseline (β = 0.26, 95%CI 0.01-0.51) remained associated with higher PD-related disability. This finding suggests that accumulation of overall PD-related disability tends to occur over a longer time span. Further studies are needed to gradually assess long-term evolution of disability in PD.

Objective:To assess whether a functional dysregulation of the habenula and amygdala, as modulators of the reward brain circuit, contributes to Parkinson disease (PD) punding.Methods:Structural and resting-state functional MRI were obtained from 22 patients with PD punding, 30 patients with PD without any impulsive-compulsive behavior (ICB) matched for disease stage and duration, motor impairment, and cognitive status, and 30 healthy controls. Resting-state functional connectivity of the habenula and amygdala bilaterally was assessed using a seed-based approach. Habenula and amygdala volumes and cortical thickness measures were obtained.Results:Compared to both healthy controls and PD cases without any ICB (PD–no ICB), PD-punding patients showed higher functional connectivity of habenula and amygdala with thalamus and striatum bilaterally, and lower connectivity between bilateral habenula and left frontal and precentral cortices. In PD-punding relative to PD–no ICB patients, a lower functional connectivity between right amygdala and hippocampus was also observed. Habenula and amygdala volumes were not different among groups. PD-punding patients showed a cortical thinning of the left superior frontal and precentral gyri and right middle temporal gyrus and isthmus cingulate compared to healthy controls, and of the right inferior frontal gyrus compared to both controls and PD–no ICB patients.Conclusions:A breakdown of the connectivity among the crucial nodes of the reward circuit (i.e., habenula, amygdala, basal ganglia, frontal cortex) might be a contributory factor to punding in PD. This study provides potential instruments to detect and monitor punding in patients with PD.

Pantothenate kinase-associated neurodegeneration (PKAN) is a rare autosomal recessive disorder with a progressive clinical course. In addition to symptomatic therapy, DBS has been increasingly recognized as a potential therapeutic strategy, especially in severe cases. Therefore, we wanted to report our experience regarding benefits of DBS in five PKAN cases in 3-year follow-up study.Five genetically confirmed PKAN patients from Serbia underwent GPi-DBS. To assess clinical outcome, we reviewed medical charts and applied: Schwab and England Activities of Daily Living Scale (SE), EQ-5D questionnaire for quality of life, Patient Global Impression of Improvement (GPI-I), Functional Independence Measure (FIM), Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS), Barry Albright Dystonia Scale (BAD). Patients were evaluated in five visits: at the disease onset, 5 years after the onset, before surgery, 6 months and 14-36 months after the surgery. Improvement of 20% was accepted as significant.Overall, dystonia significantly improved after GPi-DBS at 6 and 14-36 months postoperatively, when assessed by the BFMDRS and BAD. However, two patients failed to improve considerably. Four patients reported improvement on GPI-I, while one remained unchanged. Three patients reported significant improvement, when assessed with SE and FIM. EQ-5D showed the most prominent improvement in the domains of mobility and pain/discomfort.Three out of our five patients experienced beneficial effects of the GPi-DBS, in up to 36 months follow-up. Two patients who had not reached significant improvement had longer disease duration; therefore, it might be reasonable to recommend GPi-DBS as soon as dystonia became disabling.

We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around the world to jointly analyze 10,000+ existing MRI connectivity datasets during a 3-day workshop. In this report, we describe the motivation and principles of 10Kin1day, together with a public release of 8,000+ MRI connectome maps of the human brain. Ongoing grand-scale projects like the European Human Brain Project (1), the US Brain Initiative (2), the Human Connectome Project (3), the Chinese Brainnetome (4) and exciting world-wide neuroimaging collaborations such as ENIGMA (5) herald the new era of big neuroscience. In conjunction with these major undertakings, there is an emerging trend for bottom-up initiatives, starting with small-scale projects built upon existing collaborations and infrastructures. As described by Mainen et al. (6), these initiatives are centralized around self-organized groups of researchers working on the same challenges and sharing interests and specialized expertise. These projects could scale and open up to a larger audience and other disciplines over time, eventually lining up and merging their findings with other programs to make the bigger picture., The 10Kin1day workshop was generously sponsored by the Neuroscience and Cognition program Utrecht (NCU) of the Utrecht University (https://www.uu.nl/en/research/ neuroscience-and-cognition-utrecht), the ENIGMA consortium (http://enigma.ini.usc.edu), and personal grants: MvdH: NWOVIDI (452-16-015), MQ Fellowship; SB-C: the Wellcome Trust; Medical Research Council UK; NIHR CLAHRC for Cambridgeshire and Peterborough Foundation National Health Services Trust; Autism Research Trust; LB: New Investigator Award, Canadian Institutes of Health Research; Dara Cannon: Health Research Board (HRB), Ireland (grant code HRA-POR2013-324); SC: Research Grant Council (Hong Kong)-GRF 14101714; Eveline Crone: ERC-2010-StG-263234; UD: DFG, grant FOR2107 DA1151/5-1, DA1151/5-2, SFB-TRR58, Project C09, IZKF, grant Dan3/012/17; SD: MRC-RFA-UFSP-012013 (Shared Roots MRC Flagship grant); TF: Marie Curie Programme, International Training Programme, r’Birth; DG: National Science Centre (UMO-2011/02/A/NZ5/00329); BG: National Science Centre (UMO-2011/02/A/NZ5/00329); JH: Western Sydney University Postgraduate Research Award; LH: Science Foundation Ireland, ERC; HH: Research Grant Council (Hong Kong)-GRF 14101714; LJ: Velux Stiftung, grant 369 & UZH University Research Priority Program Dynamics of Healthy Aging; AJ: DFG, grant FOR2107 JA 1890/7-1; KJ: National Science Centre (UMO-2013/09/N/HS6/02634); VK: The Russian Foundation for Basic Research (grant code 15-06-05758A); TK: DFG, grant FOR2107 KI 588/14-1, DFG, grant FOR2107 KI 588/15-1; AK: DFG, grant FOR2107 KO 4291/4-1, DFG, grant FOR2107 KO 4291/3-1; IL: The Russian Foundation for Basic Research (grant code 15-06-05758A); EL: Health and Medical Research Fund - 11121271; SiL: NHMRC-ARC Dementia Fellowship 1110414, NHMRC Dementia Research Team Grant 1095127, NHMRC Project Grant 1062319; CL-J: 537-2011, 2014849; AM: Wellcome Trust Strategic Award (104036/Z/14/Z), MRC Grant MC_PC_17209; CM: Heisenberg-Grant, German Research Foundation, DFG MO 2363/3-2; PM: Foundation for Science and Technology, Portugal - PDE/BDE/113601/2015; KN: National Science Centre (UMO-2011/02/A/NZ5/00329); PN: National Science Centre (UMO-2013/09/N/HS6/02634); JiP: NWO-Veni 451-10-007; PaR: PER and US would like to thank the Schizophrenia Research Institute and the Chief-Investigators of the Australian Schizophrenia Research Bank V. Carr, U. Schall, R. Scott, A. Jablensky, B. Mowry, P. Michie, S. Catts, F. Henskens, and C. Pantelis; AS: National Science Centre (UMO-2011/02/A/NZ5/00329); SS: European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 707730; CS-M: Carlos III Health Institute (PI13/01958), Carlos III Health Institute (PI16/00889), Carlos III Health Institute (CPII16/00048); ES: National Science Centre (UMO-2011/02/A/NZ5/00329); AT: The Russian Foundation for Basic Research (grant code 1506-05758A); DT-G: PI14/00918, PI14/00639; Leonardo Tozzi: Marie Curie Programme, International Training Programme, r’Birth; SV: IMPRS Neurocom stipend; TvE: National Center for Research Resources at the National Institutes of Health (grant numbers: NIH 1 U24 RR021992 (Function Biomedical Informatics Research Network), NIH 1 U24 RR025736-01 (Biomedical Informatics Research Network Coordinating Center; http://www.birncommunity.org) and the NIH Big Data to Knowledge (BD2K) award (U54 EB020403 to Paul Thompson). NvH: NWO-VIDI (452-11-014); MW: National Science Centre (UMO-2011/02/A/NZ5/00329); Veronica O’Keane: Meath Foundation; AV and AW: CRC Obesity Mechanism (SFB 1052) Project A1 funded by DFG. The funding sources had no role in the study design, data collection, analysis, and interpretation of the data.

Artificial intelligence, specifically machine learning, has found numerous applications in computer-aided diagnostics, monitoring and management of neurodegenerative movement disorders of parkinsonian type. These tasks are not trivial due to high inter-subject variability and similarity of clinical presentations of different neurodegenerative disorders in the early stages. This paper aims to give a comprehensive, high-level overview of applications of artificial intelligence through machine learning algorithms in kinematic analysis of movement disorders, specifically Parkinson's disease (PD). We surveyed papers published between January 2007 and January 2019, within online databases, including PubMed and Science Direct, with a focus on the most recently published studies. The search encompassed papers dealing with the implementation of machine learning algorithms for diagnosis and assessment of PD using data describing motion of upper and lower extremities. This systematic review presents an overview of 48 relevant studies published in the abovementioned period, which investigate the use of artificial intelligence for diagnostics, therapy assessment and progress prediction in PD based on body kinematics. Different machine learning algorithms showed promising results, particularly for early PD diagnostics. The investigated publications demonstrated the potentials of collecting data from affordable and globally available devices. However, to fully exploit artificial intelligence technologies in the future, more widespread collaboration is advised among medical institutions, clinicians and researchers, to facilitate aligning of data collection protocols, sharing and merging of data sets.

© 2019 International Parkinson and Movement Disorder Society, Multiple system atrophy (MSA) is an adult-onset progressive neurodegenerative disorder that manifests clinically with autonomic failure, parkinsonism, and ataxia in any combination. Oligodendroglial cytoplasmatic inclusions consisting of misfolded α-synuclein are a pathological hallmark of disease. The clinical diagnosis of MSA is typically delayed as a result of incomplete or nonspecific manifestations during early disease stages. Quinn first published diagnostic criteria for MSA in 1989. Since then, the first consensus criteria in 1998 and their revision in 2008 have been widely accepted as diagnostic guidelines for MSA.

The system of assigning locus symbols to specify chromosomal regions that are associated with a familial disorder has a number of problems when used as a reference list of genetically determined disorders,including (I) erroneously assigned loci, (II) duplicated loci, (III) missing symbols or loci, (IV) unconfirmed loci and genes, (V) a combination of causative genes and risk factor genes in the same list, and (VI) discordance between phenotype and list assignment. In this article, we report on the recommendations of the International Parkinson and Movement Disorder Society Task Force for Nomenclature of Genetic Movement Disorders and present a system for naming genetically determined movement disorders that addresses these problems. We demonstrate how the system would be applied to currently known genetically determined parkinsonism, dystonia, dominantly inherited ataxia, spastic paraparesis, chorea, paroxysmal movement disorders, neurodegeneration with brain iron accumulation, and primary familial brain calcifications. This system provides a resource for clinicians and researchers that, unlike the previous system, can be considered an accurate and criterion-based list of confirmed genetically determined movement disorders at the time it was last updated.

Background Fatigue is 1 of the most common and most disabling symptoms among patients with Parkinson's disease (PD) and has a significant impact on their quality of life. Yet the pathophysiology of fatigue is poorly understood, while its treatment is “limited to an empirical approach based on plausible hypotheses.” Methods PubMed was searched for articles with the key words “Parkinson's disease” or “parkinsonism” and “fatigue” that were published by or before August 2015. The analysis of articles, which were selected on subjective grounds, was used to review the current knowledge of pathophysiology and treatment outcomes in studies focused on fatigue in PD. Conclusions Clinical and experimental findings support the view that fatigue is a primary manifestation of PD. The main hypothesized pathophysiological mechanisms include abnormal basal ganglia (BG)-cortical mechanisms, particularly frontal loops, and an imbalance between neurotransmitters (e.g., dopamine [DA] and serotonin), along with an altered hypothalamus-pituitary-adrenal axis, neuroinflammation, cardiac sympathetic denervation, etc. Pragmatic treatment of fatigue in patients with PD includes various pharmacological (dopaminergic and psychostimulant drugs, antidepressants) and nonpharmacological strategies, although current knowledge suffers from insufficient evidence to support the use of any drug or nondrug therapy.

Objectives In dystonia the formulation of a clinical syndrome is paramount to refine the list of etiologies. We here describe the rare association of dystonia with anarthria/aphonia, by examining a large cohort of patients, to provide a narrow field of underlying conditions and a practical algorithmic approach to reach diagnosis. Methods We retrospectively reviewed cases, which were evaluated between 2005 and 2014, to identify those with dystonia combined with marked anarthria and/or aphonia. We reviewed demographic information, clinical characteristics, as well as clinico-genetic investigations. We evaluated video material where available. Results From 860 cases with dystonia as the predominant motor feature, we identified 32 cases (3.7%) with anarthria/aphonia. Age at neurological symptom onset was variable, but the majority of cases (n = 20) developed symptoms within their first eight years of life. A conclusive diagnosis was reached in 27 cases. Monoamine neurotransmitter disorders, neurodegeneration with brain iron accumulation syndromes, hypomyelination with atrophy of the basal ganglia and cerebellum, and syndromes with inborn errors of metabolism were the most common diagnoses. Brain MRI was crucial for reaching a diagnosis by examining the structural integrity of the basal ganglia, the cerebral cortex, brain myelination and whether there was abnormal metal deposition. Pathophysiological mechanisms underlying anarthria/aphonia included dystonia, corticobulbar involvement, apraxia and abnormalities of brain development. Conclusions The spectrum of conditions that may present with the syndrome of dystonia with anarthria/aphonia is broad. Various causes may account for the profound speech disturbance. A practical brain MRI-based algorithm is provided to aid the diagnostic procedure.