Search

Falls in patients with neurodegenerative diseases (NDDs) have enormous detrimental consequences. A better understanding of the interplay between physical activity (PA) and fall risk might help to reduce fall frequency. We aimed to investigate the association between sensor-based PA and fall risk in NDDs, using 'falls per individual PA exposure time' as a novel measure. Eighty-eight subjects (n = 31 degenerative ataxia (DA), n = 14 Parkinson's disease (PD), n = 12 progressive supranuclear palsy (PSP) and 31 healthy controls) were included in this pilot study. PA was recorded in free-living environments with three-axial accelerometers (activPAL™) over 7 days. Falls were prospectively assessed over 12 months. Fall incidence was calculated by (i) absolute number of falls per person years (py) and (ii) falls per exposure to individual PA. Absolute fall incidence was high in all three NDDs, with differing levels (DA, 9 falls/py; PD, 14 falls/py; PSP, 29 falls/py). Providing a more fine-grained view on fall risk, correction for individual exposure to PA revealed that measures of low walking PA were associated with higher fall incidence in all three NDDs. Additionally, higher fall incidence was associated with more sit-to-stand transfers in PD and longer walking bouts in PSP. Our results suggest that low walking PA is a risk factor for falls in DA, PD and PSP, indicating the potential benefit of increasing individual PA in these NDDs to reduce fall risk. Moreover, they show that correction for individual exposure to PA yields a more differentiated view on fall risk within and across NDDs.

Background A proportion of idiopathic Parkinson's disease patients (PDidiopathic) with dementia show altered CSF profiles of amyloid β (Aβ) and Tau. PD patients with Glucocerebrosidase (GBA) mutations (PDGBA) present with even more cognitive decline than seen in PDidiopathic. Objective The objective of this study was to evaluate whether CSF profiles of Aβ and tau are associated with the prominent cognitive impairment in PDGBA. Methods CSF levels of Aβ1-42, t-Tau, p-Tau, and total alpha-synuclein were assessed in 479 participants (50 PDGBA, 308 PDidiopathic, 121 healthy controls). Results Older age was associated with cognitive impairment in PDGBA and PDidiopathic. Despite prominent cognitive impairment, PDGBA showed similar CSF levels of Aβ1-42, t-Tau, and p-Tau as seen in healthy controls. In contrast, lower levels of Aβ1-42 and higher levels of t-Tau and p-Tau were associated with worse cognitive performance in PDidiopathic. Conclusions The prominent cognitive impairment in PDGBA seems not primarily associated with Aβ and Tau profiles in CSF. © 2017 International Parkinson and Movement Disorder Society

BACKGROUND Prevalence and time of occurrence of prodromal symptoms of Parkinson's disease (PD) in relation to the onset of classical motor manifestation varies between patients. Possible modifying factors might be different genetic architectures predisposing to varying burden of manifestations. OBJECTIVES To characterize the prodromal phase in PD patients with heterozygous mutations in the GBA gene compared to PD patients without GBA mutation. METHODS In a retrospective design, 151 participants [47 PD patients carrying a GBA mutation (PDGBA ), 52 idiopathic PD patients (PDidiopathic ), 52 healthy elderly (CON)] underwent a validated structured interview designed to assess prevalence and time of occurrence of prodromal symptoms. RESULTS PDGBA showed a higher prevalence of prodromal symptoms and almost simultaneous occurrence of non-motor and early motor symptoms shortly before PD diagnosis whereas PDidiopathic reported a longer prodromal phase starting with non-motor symptoms. CONCLUSION The short and severe prodromal phase in PDGBA might call for shorter assessment intervals in yet premanifest GBA mutation carriers.

Background and Purpose: Reduced ambulatory activity is a major burden in neurodegenerative disease (NDD), leading to severe restrictions in social participation and further deterioration of motor capacities. However, objective evidence on walking behavior patterns and components underlying this impairment and its decline with disease progression is scarce for many NDDs. We aimed to unravel the detailed metrics underlying the reduced ambulatory activity in selected NDDs, and their relation to disease duration. We hypothesized that progressively reduced ambulatory activity is a feature shared across different NDDs, characterized by changes in both common and distinct components. Methods: Sixty-five subjects with NDD (n = 34 degenerative ataxia; n = 15 progressive supranuclear palsy, and n = 16 Parkinson's disease) and 38 healthy older adults (total n = 103) wore a three-axial accelerometer (activPAL3™) for 7 consecutive days. Detailed metrics of ambulatory activity were calculated. Results: The average daily walking duration was significantly decreased in all three NDDs, yet characterized by a differential pattern of changes in number and length of walking bouts and sit-to-stand transfers. Decline in walking duration progressed with increased disease duration in all three NDDs, yet at a differing rate. This decline was associated with progressive reductions in walking bout length and walking behavior pattern diversity in all three NDDs. Conclusions: These findings provide objective evidence that reduced ambulatory activity is a shared feature across different NDDs. Moreover, they reveal that several underlying walking behavior components change with increasing disease duration, yet at a differing rate in different NDDs. This indicates that metric analysis of ambulatory activity might provide ecologically relevant and disease-specific progression and outcome markers in several NDDs.

Copyright: © 2017 Pham, Elshehabi, Haertner, Del Din, Srulijes, Heger, Synofzik, Hobert, Faber, Hansen, Salkovic, Ferreira, Berg, Sanchez-Ferro, van Dieën, Becker, Rochester, Schmidt and Maetzler. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms., Introduction: Inertial measurement units (IMUs) positioned on various body locations allow detailed gait analysis even under unconstrained conditions. From a medical perspective, the assessment of vulnerable populations is of particular relevance, especially in the daily-life environment. Gait analysis algorithms need thorough validation, as many chronic diseases show specific and even unique gait patterns. The aim of this study was therefore to validate an acceleration-based step detection algorithm for patients with Parkinson's disease (PD) and older adults in both a lab-based and home-like environment. Methods: In this prospective observational study, data were captured from a single 6-degrees of freedom IMU (APDM) (3DOF accelerometer and 3DOF gyroscope) worn on the lower back. Detection of heel strike (HS) and toe off (TO) on a treadmill was validated against an optoelectronic system (Vicon) (11 PD patients and 12 older adults). A second independent validation study in the home-like environment was performed against video observation (20 PD patients and 12 older adults) and included step counting during turning and non-turning, defined with a previously published algorithm. Results: A continuous wavelet transform (cwt)-based algorithm was developed for step detection with very high agreement with the optoelectronic system. HS detection in PD patients/older adults, respectively, reached 99/99% accuracy. Similar results were obtained for TO (99/100%). In HS detection, Bland-Altman plots showed a mean difference of 0.002 s [95% confidence interval (CI) -0.09 to 0.10] between the algorithm and the optoelectronic system. The Bland-Altman plot for TO detection showed mean differences of 0.00 s (95% CI -0.12 to 0.12). In the home-like assessment, the algorithm for detection of occurrence of steps during turning reached 90% (PD patients)/90% (older adults) sensitivity, 83/88% specificity, and 88/89% accuracy. The detection of steps during non-turning phases reached 91/91% sensitivity, 90/90% specificity, and 91/91% accuracy. Conclusion: This cwt-based algorithm for step detection measured at the lower back is in high agreement with the optoelectronic system in both PD patients and older adults. This approach and algorithm thus could provide a valuable tool for future research on home-based gait analysis in these vulnerable cohorts., The study was supported by the EU project FAIR-PARK II, funded under the Horizon2020 Program of the European commission (grant no. 633190, PHC13 2014–2015; NCT02655315) and by Lundbeck. The funding sources did not have any role in conception and design of the study, acquisition, analysis, and interpretation of data, and in writing of the manuscript. The authors acknowledge financial support by Land Schleswig-Holstein within the funding program Open Access Publikationsfonds. SD and LR are supported by the Newcastle Biomedical Research Centre (BRC) and Unit (BRU) based at Newcastle upon Tyne and Newcastle University. They are also supported by the NIHR/Wellcome Trust Clinical Research Facility (CRF) infrastructure at Newcastle upon Tyne Hospitals NHS Foundation Trust. KS and MS received financial support from the Forschungskolleg Geriatrie of the Robert Bosch Foundation, Stuttgart, Germany.

There is a rapidly growing interest in the quantitative assessment of Parkinson's disease (PD)-associated signs and disability using wearable technology. Both persons with PD and their clinicians see advantages in such developments. Specifically, quantitative assessments using wearable technology may allow for continuous, unobtrusive, objective, and ecologically valid data collection. Also, this approach may improve patient-doctor interaction, influence therapeutic decisions, and ultimately ameliorate patients' global health status. In addition, such measures have the potential to be used as outcome parameters in clinical trials, allowing for frequent assessments; eg, in the home setting. This review discusses promising wearable technology, addresses which parameters should be prioritized in such assessment strategies, and reports about studies that have already investigated daily life issues in PD using this new technology.

Background: Heterozygous mutations in the glucocer-ebrosidase gene lead to an increased risk for and tomore severe alpha-synuclein-associated pathology inParkinson’s disease. As both glucocerebrosidase andalpha-synuclein interact with fatty acids, we hypothe-sized that cerebrospinal fluid fatty acid levelsare altered in these Parkinson’s disease patients.Methods: Cerebrospinal fluid levels of 13 fatty acids in8 Parkinson’s disease patients with a heterozygousglucocerebrosidase mutation were compared withthose of 41 idiopathic Parkinson’s disease patients and ------------------------------------------------------------ Additional Supporting Information may be found in the online version ofthis article.Stefan P. Schmid and Erwin D. Schleicher contributed equally to thisarticle.*Correspondence to: Walter Maetzler, Department ofNeurodegeneration, University of Tuebingen, Germany, OtfriedMu¨ller-Strasse 27, 72076 Tuebingen, Germany; walter.maetzler@uni-tuebingen.deRelevant conflicts of interest/financial disclosures: Stefan Schmid issupported by a German National Genome Network Grant (NGFNplus01GS08134). Walter Maetzler is supported by a ForschungskollegGeriatrie Grant from the Robert Bosch Foundation, Stuttgart, Germany(Nr. 32.5.1141.0019.0).Full financial disclosures and author roles may be found in the onlineversion of this article.Received: 7 April 2011; Revised: 15 August 2011; Accepted: 25August 2011Published online 21 October 2011 in Wiley Online Library(wileyonlinelibrary.com). DOI: 10.1002/mds.23984SCHMID ET AL.

Objective: To evaluate whether there exists distinct characteristics in glucocerebrosidase ( GBA )–associated Parkinson disease (PD) with regard to motor and nonmotor symptoms as well as imaging characteristics assessed by transcranial sonography (TCS). Methods: Twenty patients with PD with heterozygous GBA mutations (N370S, L444P) (GBA-PD) in comparison to 20 patients with sporadic PD negative for GBA mutations (sPD) were included. We assessed motor impairment with the Unified Parkinson’s Disease Rating Scale–III. Nonmotor symptoms were evaluated using the Montreal Cognitive Assessment, Neuropsychiatric Inventory, revised form of the Beck Depression Inventory, Parkinson Disease Sleep Scale, Sniffin’ Sticks, and Unified Multiple System Atrophy Rating Scale items 9–12. TCS imaging was used to detect morphologic characteristics. Results: Patients with GBA-PD more often had a variety of nonmotor symptoms, namely dementia, neuropsychiatric disturbances, and autonomic dysfunction, and had more severe cases, than patients with sPD. They also demonstrated a higher prevalence of a reduced echogenicity of the brainstem raphe assessed by TCS. Conclusions: Especially nonmotor symptoms seem to be very common in GBA-PD. Further studies are needed to validate these observations in order to better understand the pathogenesis of GBA-PD and develop specific therapeutic concepts.

Background and purpose To date the role of GBA mutations beyond α-synucleinopathies in the parkinsonism−dementia spectrum is still unclear. The aim of the study was to screen for GBA mutations in progressive supranuclear palsy (PSP), corticobasal syndrome (CBS), primary progressive aphasia (PPA) and the behavioural variant of frontotemporal dementia (bvFTD). Methods In all, 303 patients with a clinical diagnosis of PSP (n = 157), CBS (n = 39), PPA (n = 35) and bvFTD (n = 72) and 587 neurologically healthy controls were screened for the most common GBA mutations. Results GBA mutations were detected in one healthy control and four patients with a clinical diagnosis of PSP (n = 1), probable CBS (n = 2) and PPA (n = 1, with concomitant C9orf72 expansion). Overall the prevalence of GBA mutations was low in non-α-synucleinopathies but significantly higher in the CBS subgroup compared to controls. Conclusion Although numbers are small, our findings indicate that the clinical phenotype of GBA-associated neurodegenerative disease is more heterogeneous than previously assumed, including phenotypes not usually associated with underlying α-synucleinopathies. This may be of relevance, once causal therapeutic strategies for GBA-associated neurodegenerative disease are developed.

In a previous study, retinal nerve fiber layer thickness (RNFLT) loss was shown as part of the neurodegenerative process in multiple system atrophy (MSA). Here, we investigate in a larger cohort of MSA patients whether the RNFLT loss translates into respective visual field defects. Spectral domain optical coherence tomography was performed in 20 MSA patients (parkinsonian subtype = 12, cerebellar subtype = 8) to quantify peripapillary RNFLT. Visual field (90°) was analyzed by automated static perimetry to investigate retinal structure/function relationship. Eight data sets did not meet stringent quality criteria, and only 12 data sets were further analyzed. Compared to healthy controls, MSA patients demonstrated a significant reduction of RNFLT in the nasal sectors (p nasal-superior = 0.02, p nasal = 0.03, p nasal-inferior

Parkinson’s disease is characterized by a substantial cognitive heterogeneity, which is apparent in different profiles and levels of severity. To date, a distinct clinical profile for patients with a potential risk of developing dementia still has to be identified. We introduce a data-driven approach to detect different cognitive profiles and stages. Comprehensive neuropsychological data sets from a cohort of 121 Parkinson’s disease patients with and without dementia were explored by a factor analysis to characterize different cognitive domains. Based on the factor scores that represent individual performance in each domain, hierarchical cluster analyses determined whether subgroups of Parkinson’s disease patients show varying cognitive profiles. A six-factor solution accounting for 65.2% of total variance fitted best to our data and revealed high internal consistencies (Cronbach’s alpha coefficients>0.6). The cluster analyses suggested two independent patient clusters with different cognitive profiles. They differed only in severity of cognitive impairment and self-reported limitation of activities of daily living function but not in motor performance, disease duration, or dopaminergic medication. Based on a data-driven approach, divers cognitive profiles were identified, which separated early and more advanced stages of cognitive impairment in Parkinson’s disease without dementia. Importantly, these profiles were independent of motor progression.

Mutations in the mitochondrial DNA polymerase gamma (POLG) cause a highly pleomorphic disease spectrum, and reports about their frequencies in ataxia populations yield equivocal results. This leads to uncertainties about the role of POLG genetics in the workup of patients with unexplained ataxia. A comprehensive characterization of POLG-associated ataxia (POLG-A) will help guide genetic diagnostics and advance our understanding of the disease processes underlying POLG-A. Thirteen patients with POLG-A were assessed by standardized clinical investigation, nerve conduction studies, motor-evoked potentials, magnetic resonance imaging (MRI) and transcranial sonography (TCS). The findings were compared with 13 matched patients with Friedreich's ataxia (FA). In addition to the well-known POLG-associated features of chronic external ophthalmoplegia (100 %), areflexia to the lower extremity (100 %), impaired vibration sense (100 %), bilateral ptosis (69 %) and epilepsy (38 %), also hyperkinetic movement disorders were frequent in POLG-A patients, including chorea (31 %), dystonia (31 %) and myoclonus (23 %). Similar to FA, polyneuropathy was of sensory axonal type (100 %). In contrast to FA, none of the POLG-A patients showed impaired central motor conduction. TCS demonstrated less enlargement of the fourth ventricle and more diffuse cerebellar hyperechogenicity in POLG-A. Corresponding to TCS, MRI revealed no or only mild cerebellar atrophy in most POLG-A patients (85 %). POLG ataxia presents with the clinical characteristics of both afferent and cerebellar ataxia. Cerebellar alterations diffusely involve various parts of the cerebellum, yet cerebellar atrophy is generally mild. POLG-A presents with a high load of distinct non-ataxia features, namely, sensory neuropathy, external ophthalmoplegia, ptosis, epilepsy and/or hyperkinetic movement disorders. Involvement of the corticospinal tract, however, is rare.

Essential tremor (ET) and Parkinson's disease (PD) are the most common movement disorders and show clinical, genetic, and pathophysiological overlap. Single-nucleotide polymorphisms (SNPs) in the leucine-rich repeat (LRR) and immunoglobulin (Ig) domain-containing, Nogo receptor-interacting protein gene (LINGO1) are associated with ET. LINGO1 is overexpressed in the substantia nigra (SN) of PD patients and inhibition of LINGO1 confers neuroprotection in a rodent model of PD. In this study we test the hypothesis whether SNPs in the LINGO1 gene that are associated with ET are also associated with PD. Three large German case–control samples from Kiel, Lubeck, and Tubingen (total: 1,798 cases and 1,482 controls) were genotyped for the three LINGO1 SNPs associated with ET. Association was assessed using allele- and genotype-based tests in each of the three samples separately, in the combined sample, and in subsets of patients with early-onset PD (

Phosphorylated α-synuclein (PS-129), a protein implicated in the pathogenesis of Parkinson's disease (PD), was identified by mass spectrometry in human cerebrospinal fluid (CSF). A highly sensitive and specific assay was established and used to measure PS-129 together with total α-synuclein in the CSF of patients with PD, other parkinsonian disorders such as multiple system atrophy (MSA) and progressive supranuclear palsy (PSP), and healthy individuals (a total of ~600 samples). PS-129 CSF concentrations correlated weakly with PD severity and, when combined with total α-synuclein concentrations in CSF, contributed to distinguishing PD from MSA and PSP. Further rigorous validation in independent cohorts of patients, especially those where samples have been collected longitudinally, will determine whether the concentration of PS-129 in CSF will be useful for diagnosing PD and for monitoring PD severity and progression.

Objective To evaluate whether enlarged substantia nigra hyperechogenicity (SN+) is associated with an increased risk for Parkinson disease (PD) in a healthy elderly population. Design Longitudinal 3-center observational study with 37 months of prospective follow-up. Setting Individuals 50 years or older without evidence of PD or any other neurodegenerative disease. Participants Of 1847 participants who underwent a full medical history, neurological assessment, and transcranial sonography at baseline, 1535 could undergo reassessment. Main Outcome Measure Incidence of new-onset PD in relation to baseline transcranial sonography status. Results There were 11 cases of incident PD during the follow-up period. In participants with SN+ at baseline, the relative risk for incident PD was 17.37 (95% confidence interval, 3.71-81.34) times higher compared with normoechogenic participants. Conclusions In this prospective study, we demonstrate for the first time a highly increased risk for PD in elderly individuals with SN+. Transcranial sonography of the midbrain may therefore be a promising primary screening procedure to define a risk population for imminent PD.