Lisa Klingelhoefer
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View article: Serum glial fibrillary protein reflects early brain injury dynamics and cognitive changes after deep brain stimulation surgery
Serum glial fibrillary protein reflects early brain injury dynamics and cognitive changes after deep brain stimulation surgery Open
View article: Serum neurofilament indicates accelerated neurodegeneration and predicts mortality in late-stage Parkinson’s disease
Serum neurofilament indicates accelerated neurodegeneration and predicts mortality in late-stage Parkinson’s disease Open
Different stages of Parkinson’s disease (PD) are defined by clinical criteria, while late-stage PD is marked by the onset of morbidity milestones and rapid clinical deterioration. Based on neuropathological evidence, degeneration in the do…
View article: Serum Neurofilament Predicts Mortality and Indicates Accelerated Neurodegeneration in Late-Stage Parkinson’s Disease
Serum Neurofilament Predicts Mortality and Indicates Accelerated Neurodegeneration in Late-Stage Parkinson’s Disease Open
Background A high percentage of dopaminergic axons are already lost at the time of diagnosis, current studies on neuroprotective agents focus mainly on the early stages of Parkinson’s disease (PD). Nevertheless, PD progresses slowly during…
View article: Issue Information
Issue Information Open
Movement Disorders Clinical Practice-is an online-only journal committed to publishing high quality peer reviewed articles related to clinical aspects of movement disorders which broadly include phenomenology (interesting case/case series/…
View article: The Gut Dysmotility Questionnaire for Parkinson's disease: Insights into development and pretest studies
The Gut Dysmotility Questionnaire for Parkinson's disease: Insights into development and pretest studies Open
Objective A total of 48% of patients with Parkinson's disease (PD) present symptoms of gastrointestinal dysfunction, particularly constipation. Furthermore, gastrointestinal tract (GIT)-related non-motor symptoms (NMSs) appear at all stage…
View article: Morbidity Milestones Demonstrate Long Disability‐Free Survival in Parkinson's Disease Patients with Deep Brain Stimulation of the Subthalamic Nucleus
Morbidity Milestones Demonstrate Long Disability‐Free Survival in Parkinson's Disease Patients with Deep Brain Stimulation of the Subthalamic Nucleus Open
Background Deep brain stimulation of the subthalamic nucleus (STN‐DBS) is an effective treatment for Parkinson's disease (PD). The long‐term benefit in PD patients with STN‐DBS in comparison to medical treatment (MT) alone has not yet been…
View article: Gastrointestinal barriers to levodopa transport and absorption in Parkinson's disease
Gastrointestinal barriers to levodopa transport and absorption in Parkinson's disease Open
Levodopa is the gold standard for the symptomatic treatment of Parkinson's disease (PD). There are well documented motor and non‐motor fluctuations, however, that occur almost inevitably once levodopa is started after a variable period in …
View article: The use of wearables for the diagnosis and treatment of Parkinson’s disease
The use of wearables for the diagnosis and treatment of Parkinson’s disease Open
View article: Education Research: Impact of Burnout on Neurology Residents and Research Fellows in Europe
Education Research: Impact of Burnout on Neurology Residents and Research Fellows in Europe Open
Burnout experience is highly prevalent among neurology residents, junior neurologists, and research fellows in Europe. The profile-based approach in this survey captures the multifaceted nature of burnout experience, therefore highlighting…
View article: Serum neurofilament indicates that DBS surgery can cause neuronal damage whereas stimulation itself does not
Serum neurofilament indicates that DBS surgery can cause neuronal damage whereas stimulation itself does not Open
View article: Predictors of short-term impulsive and compulsive behaviour after subthalamic stimulation in Parkinson disease
Predictors of short-term impulsive and compulsive behaviour after subthalamic stimulation in Parkinson disease Open
Background The effects of subthalamic stimulation (subthalamic nucleus-deep brain stimulation, STN-DBS) on impulsive and compulsive behaviours (ICB) in Parkinson’s disease (PD) are understudied. Objective To investigate clinical predictors…
View article: Rotigotine Transdermal Patch for Motor and Non-motor Parkinson’s Disease: A Review of 12 Years’ Clinical Experience
Rotigotine Transdermal Patch for Motor and Non-motor Parkinson’s Disease: A Review of 12 Years’ Clinical Experience Open
View article: Assessment of real life eating difficulties in Parkinson’s disease patients by measuring plate to mouth movement elongation with inertial sensors
Assessment of real life eating difficulties in Parkinson’s disease patients by measuring plate to mouth movement elongation with inertial sensors Open
View article: Assistive HCI-Serious Games Co-design Insights: The Case Study of i-PROGNOSIS Personalized Game Suite for Parkinson’s Disease
Assistive HCI-Serious Games Co-design Insights: The Case Study of i-PROGNOSIS Personalized Game Suite for Parkinson’s Disease Open
Human-Computer Interaction (HCI) and games set a new domain in understanding people’s motivations in gaming, behavioral implications of game play, game adaptation to player preferences and needs for increased engaging experiences in the co…
View article: Smartphone sensor data (accelerometer, virtual keyboard) collected in-the-wild by Parkinson's Disease patients and Healthy Controls
Smartphone sensor data (accelerometer, virtual keyboard) collected in-the-wild by Parkinson's Disease patients and Healthy Controls Open
For detailed description of the dataset see the relevant journal article. Python code for model inference and training is available here. DESCRIPTION The dataset contains accelerometer recodings and keyboard typing data co…
View article: Smartphone sensor data (accelerometer, virtual keyboard) collected in-the-wild by Parkinson's Disease patients and Healthy Controls
Smartphone sensor data (accelerometer, virtual keyboard) collected in-the-wild by Parkinson's Disease patients and Healthy Controls Open
For detailed description of the dataset see the relevant journal article. Python code for model inference and training is available here. DESCRIPTION The dataset contains accelerometer recodings and keyboard typing data co…
View article: Unobtrusive detection of Parkinson’s disease from multi-modal and in-the-wild sensor data using deep learning techniques
Unobtrusive detection of Parkinson’s disease from multi-modal and in-the-wild sensor data using deep learning techniques Open
View article: Emotional well-being and pain could be a greater determinant of quality of life compared to motor severity in cervical dystonia
Emotional well-being and pain could be a greater determinant of quality of life compared to motor severity in cervical dystonia Open
View article: Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learning
Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learning Open
Fine-motor impairment (FMI) is progressively expressed in early Parkinson’s Disease (PD) patients and is now known to be evident in the immediate prodromal stage of the condition. The clinical techniques for detecting FMI may not be robust…
View article: Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm
Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm Open
Being the second most common neurodegenerative disease, Parkinson's disease (PD) can be symptomatically treated, although, unfortunately, it cannot be cured yet. Moreover, diagnosing and assessing PD patients is a complex process, requirin…
View article: Lower Energy Intake among Advanced vs. Early Parkinson’s Disease Patients and Healthy Controls in a Clinical Lunch Setting: A Cross-Sectional Study
Lower Energy Intake among Advanced vs. Early Parkinson’s Disease Patients and Healthy Controls in a Clinical Lunch Setting: A Cross-Sectional Study Open
Unintentional weight loss has been observed among Parkinson’s disease (PD) patients. Changes in energy intake (EI) and eating behavior, potentially caused by fine motor dysfunction and eating-related symptoms, might contribute to this. The…
View article: Innovative interventions for Parkinson's disease patients using iPrognosis games
Innovative interventions for Parkinson's disease patients using iPrognosis games Open
Parkinson's disease (PD) is a chronic and progressive neurodegenerative disease that affects â¼7 million people worldwide, without any cure to date; however, it can be symptomatically treated. In this vein, innovative technologies can be u…
View article: Upper Extremity Motor Symptoms’ Severity Estimation with Ecologically Valid Data Arising from Smartphone Touchscreen (1291)
Upper Extremity Motor Symptoms’ Severity Estimation with Ecologically Valid Data Arising from Smartphone Touchscreen (1291) Open
The study aims to provide an objective passive monitoring tool for the fine-motor impairment as reflected by the clinical evaluation of UPDRS Part III Single item scores, by analyzing touchscreen typing data of healthy and early Parkinson'…
View article: Differences in neurology residency training programmes across Europe – a survey among the Residents and Research Fellow Section of the European Academy of Neurology national representatives
Differences in neurology residency training programmes across Europe – a survey among the Residents and Research Fellow Section of the European Academy of Neurology national representatives Open
Background and purpose Neurology is rapidly evolving as a result of continuous diagnostic and therapeutic progress, which influences the daily work of neurologists. Therefore, updating residency training programmes is crucial for the futur…
View article: Dystonia Non-Motor Symptoms Questionnaire (DNMSQuest) zur Erhebung nichtmotorischer Symptome bei Dystonie
Dystonia Non-Motor Symptoms Questionnaire (DNMSQuest) zur Erhebung nichtmotorischer Symptome bei Dystonie Open
View article: iPrognosis – frühe Erkennung der Parkinsonerkrankung mittels Smartphone App
iPrognosis – frühe Erkennung der Parkinsonerkrankung mittels Smartphone App Open
Mittels moderner Technologien wie Smartphones können große Mengen an Daten kontinuierlich über einen längeren Zeitraum, objektiv und ohne aktives Zutun der Nutzer im alltäglichen Leben erhoben werden. Zur frühen Diagnosestellung des idiopa…
View article: Medical evaluation as gold standard to control iPrognosis application derived data for early Parkinson's disease detection
Medical evaluation as gold standard to control iPrognosis application derived data for early Parkinson's disease detection Open
Smartphones have the ability of longitudinal, unobtrusive, remote real-life recognition and monitoring of people's behavior and of specific behavioral pattern. The i-PROGNOSIS approach is promosing as both, the iPrognosis App derived behav…
View article: Advanced Parkinson's Disease Patients Eat Less Food in Comparison to Early Parkinson's Patients and Healthy Controls in a Controlled Lunch Setting
Advanced Parkinson's Disease Patients Eat Less Food in Comparison to Early Parkinson's Patients and Healthy Controls in a Controlled Lunch Setting Open
Weight loss and malnutrition among advanced PD patients might be explained by lower food intake, mediated by fewer mouthfuls per meal and more severe tremor symptoms. Our results indicate that interventions to reduce tremor symptoms and to…
View article: Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning
Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning Open
Parkinson’s Disease (PD) is a slowly evolving neurological disease that affects about 1% of the population above 60 years old, causing symptoms that are subtle at first, but whose intensity increases as the disease progresses. Automated de…
View article: Detecting Parkinsonian Tremor From IMU Data Collected in-the-Wild Using Deep Multiple-Instance Learning
Detecting Parkinsonian Tremor From IMU Data Collected in-the-Wild Using Deep Multiple-Instance Learning Open
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 progres…