[Dystonia Non-Motor Symptoms Questionnaire (DNMSQuest) for assessment of non-motor symptoms in dystonia : Intercultural adaptation in the German language].

Background: Non-motor symptoms (NMS) in patients with dystonia have a relevant impact on health-related quality of life; however, a comprehensive easy to use NMS assessment tool for clinical bedside use is currently not available.

Objective: The validated German version of the dystonia non-motor symptoms questionnaire (DNMSQuest) for assessing NMS in craniocervical dystonia is presented.

Methods: The DNMSQuest in the German language was developed based on internationally recognized standards for intercultural adaptation of self-completed patient questionnaires.

Drooling in Parkinson's Disease: Prevalence and Progression from the Non-motor International Longitudinal Study.

Sialorrhoea in Parkinson's disease (PD) is an often neglected yet key non-motor symptom with impact on patient quality of life. However, previous studies have shown a broad range of prevalence figures. To assess prevalence of drooling in PD and its relationship to quality of life, we performed a retrospective analysis of 728 consecutive PD patients who had a baseline and follow-up assessment as part of the Non-motor International Longitudinal Study (NILS), and for whom drooling presence and severity were available, assessed through the Non-Motor Symptoms Scale (NMSS).

Impulse control and related behaviors in Parkinson's disease with dementia.

Background And Purpose: The objective was to determine the frequency, demographic and clinical correlates [such as age, sex, Parkinson's disease (PD) severity and dopaminergic treatment] of impulse control disorder (ICD) symptoms and related behaviors in patients with PD with (PD-D) and without (PD-ND) dementia.

Methods: We analyzed historical data from a national, multi-center, cross-sectional database and assessed ICDs and related behaviors with the Scale for Evaluation of Neuropsychiatric Disorders in Parkinson's Disease administered as a semi-structured interview to patients with PD-D (n = 85) and PD-ND (n = 444) and their informants.

Results: Dopamine agonist therapy use was common and similar in the two groups (78.

Multiple-Instance Learning for In-The-Wild Parkinsonian Tremor Detection.

Parkinson's Disease (PD) is a neurodegenerative disorder that manifests through slowly progressing symptoms, such as tremor, voice degradation and bradykinesia. Automated detection of such symptoms has recently received much attention by the research community, owing to the clinical benefits associated with the early diagnosis of the disease. Unfortunately, most of the approaches proposed so far, operate under a strictly laboratory setting, thus limiting their potential applicability in real world conditions.

Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks.

Parkinson's Disease (PD) is the second most common neurodegenerative disorder worldwide, causing both motor and non-motor symptoms. In the early stages, symptoms are mild and patients may ignore their existence. As a result, they do not undergo any related clinical examination; hence delaying their PD diagnosis.

Dementia in long-term Parkinson's disease patients: a multicentre retrospective study.

While several studies have investigated the clinical progression of cognitive decline in Parkinson's disease (PD) patients, there has been a paucity of data on specifically evaluating PD patients with a disease duration of over 20 years. This study retrospectively investigated the frequency of dementia in PD (PDD) patients with a disease duration of over 20 years assessed in research clinics across the UK and Australia. Data from 2327 PD patients meeting the United Kingdom Parkinson's Disease Society Brain Bank Criteria was pooled.

Detecting Parkinsonian Tremor From IMU Data Collected in-the-Wild Using Deep Multiple-Instance Learning.

Parkinson's Disease (PD) is a slowly evolving neurological disease that affects about [Formula: see text] of the population above 60 years old, causing symptoms that are subtle at first, but whose intensity increases as the disease progresses. Automated detection of these symptoms could offer clues as to the early onset of the disease, thus improving the expected clinical outcomes of the patients via appropriately targeted interventions. This potential has led many researchers to develop methods that use widely available sensors to measure and quantify the presence of PD symptoms such as tremor, rigidity and braykinesia.

Applications of the European Parkinson's Disease Association sponsored Parkinson's Disease Composite Scale (PDCS).

This study was addressed to determine the presence of Parkinson disease (PD) manifestations, their distribution according to motor subtypes, and the relationships with health-related quality of life (QoL) using the recently validated European Parkinson's Disease Association sponsored Parkinson's Disease Composite Scale (PDCS). Frequency of symptoms was determined by the scores of items (present if >0). Using ROC analysis and Youden method, MDS-UPDRS motor subtypes were projected on the PDCS to achieve a comparable classification based on the PDCS scores.

Can therapeutic strategies prevent and manage dyskinesia in Parkinson's disease? An update.

: Dyskinesia is a motor complication of Parkinson's disease (PD) characterized by clinical heterogeneity and complex pathogenesis and associated with long-term levodopa therapy. Recent and controversial views on the management of PD patients have suggested that overall dyskinesia rates, and particularly troublesome dyskinesia, may be declining due to more conservative levodopa dosing regimens, widespread availability and early introduction of deep brain stimulation, and use of continuous drug delivery strategies. Nevertheless, anti-dyskinetic agents continue to be evaluated in clinical trials and recent efforts have focused on non-dopaminergic drugs.

Non-motor correlates of wrist-worn wearable sensor use in Parkinson's disease: an exploratory analysis.

Wearable sensors are becoming increasingly more available in Parkinson's disease and are used to measure motor function. Whether non-motor symptoms (NMS) can also be measured with these wearable sensors remains unclear. We therefore performed a retrospective, exploratory, analysis of 108 patients with a diagnosis of idiopathic Parkinson's disease enroled in the Non-motor Longitudinal International Study (UKCRN No.

The movement disorder society nonmotor rating scale: Initial validation study.

Background: The Movement Disorder Society-sponsored Nonmotor Rating Scale is an update of the existing Parkinson's disease Nonmotor Symptoms Scale modified to address some limitations in Nonmotor Symptoms Scale scoring, structure, and symptom coverage.

Methods: PD patients were recruited from movement disorder centers in an international, multicenter study. The Movement Disorder Society Nonmotor Rating Scale, consisting of 13 domains plus a subscale for nonmotor fluctuations, was rater administered, along with the Nonmotor Symptoms Scale and other clinical assessments.

Non-motor outcomes depend on location of neurostimulation in Parkinson's disease.

Deep brain stimulation of the subthalamic nucleus is an effective and established therapy for patients with advanced Parkinson's disease improving quality of life, motor symptoms and non-motor symptoms. However, there is a considerable degree of interindividual variability for these outcomes, likely due to variability in electrode placement and stimulation settings. Here, we present probabilistic mapping data from a prospective, open-label, multicentre, international study to investigate the influence of the location of subthalamic nucleus deep brain stimulation on non-motor symptoms in patients with Parkinson's disease.

Restless legs syndrome - the under-recognised non-motor burden: a questionnaire-based cohort study.

: Non-motor symptoms (NMS) range from neuropsychiatric to pain and are an important but underexplored feature of restless legs syndrome (RLS). There are currently no tools available which enable the holistic assessment of NMS in RLS in clinical practice. The primary aim of this study was to systematically assess NMS prevalence and burden in patients with RLS using the NMS Questionnaire (NMSQuest) validated for Parkinson's disease.

RIF1 promotes replication fork protection and efficient restart to maintain genome stability.

Homologous recombination (HR) and Fanconi Anemia (FA) pathway proteins in addition to their DNA repair functions, limit nuclease-mediated processing of stalled replication forks. However, the mechanism by which replication fork degradation results in genome instability is poorly understood. Here, we identify RIF1, a non-homologous end joining (NHEJ) factor, to be enriched at stalled replication forks.

The ocular surface after simple limbal epithelial transplant (SLET): A high-resolution OCT study of the early postoperative period.

Simple limbal epithelial transplantation (SLET) is an emerging technique for treating unilateral limbal stem cell deficiency. We report the high-resolution, anterior segment optical coherence tomography (OCT) features of the first 2 weeks of a patient undergoing SLET for an old acid injury of the right eye, repeatedly from postoperative day 1 through day 14. Three out of 11 explants with the subjacent human amniotic membrane (hAM) and the overlaid bandage contact lens were imaged.

Pain in Parkinson's disease: new concepts in pathogenesis and treatment.

Purpose Of Review: In this review, we discuss the most recent evidence on mechanisms underlying pathological nociceptive processing in Parkinson's disease patients, as well as novel treatment strategies.

Recent Findings: In Parkinson's disease, specific neurodegenerative changes may cause alterations in nociceptive processing at multiple levels. Optimization of dopaminergic therapies should always be the first step in the management of Parkinson's disease pain.

Contractile dysfunction and nitrergic dysregulation in small intestine of a primate model of Parkinson's disease.

Bowel dysfunction is a common non-motor symptom in Parkinson's disease (PD). The main contractile neurotransmitter in the GI tract is acetylcholine (ACh), while nitric oxide (NO) causes the relaxation of smooth muscle in addition to modulating ACh release. The aim of this study was to characterise functional and neurochemical changes in the isolated ileum of the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-treated marmoset, an established model of PD motor dysfunction.

Barriers to reporting non-motor symptoms to health-care providers in people with Parkinson's.

Background: Non-motor symptoms (NMS) are common in Parkinson's disease (PD) and cause significant distress. A high rate of non-declaration of NMS by patients to healthcare providers (HCP) means that many NMS remain untreated. Current understanding of the factors preventing disclosure of NMS to HCPs is limited.

Extensive validation study of the Parkinson's Disease Composite Scale.

Background And Purpose: A composite instrument able to rapidly and reliably assess the most relevant motor and non-motor afflictions suffered by Parkinson's disease (PD) patients in a real world clinic setting is an unmet need. The recently validated PD Composite Scale (PDCS) was designed to fulfil this gap as a quick, comprehensive PD assessment. The objective of this study was extensive evaluation of the PDCS's clinimetric properties using a large international sample.

Exploring hyperhidrosis and related thermoregulatory symptoms as a possible clinical identifier for the dysautonomic subtype of Parkinson's disease.

Objective: To identify associated (non-)motor profiles of Parkinson's disease (PD) patients with hyperhidrosis as a dominant problem.

Methods: This is a cross-sectional, exploratory, analysis of participants enrolled in the Non-motor Longitudinal International Study (NILS; UKCRN No: 10084) at the Parkinson's Centre at King's College Hospital (London, UK). Hyperhidrosis scores (yes/no) on question 28 of the Non-Motor Symptom Questionnaire were used to classify patients with normal sweat function (n = 172) and excessive sweating (n = 56) (Analysis 1; n = 228).