Active clinical trials for "Parkinson Disease"

The diagnosis and management of movement disorders, such as Parkinson's disease (PD), parkinson-plus syndromes (PPS), dystonia, essential tremor (ET), normal pressure hydrocephalus (NPH) and others is challenging given the lack of objective diagnostic and monitoring tools with high sensitivity and specificity. A cornerstone in research of neurological disorders manifesting as MDi is the investigation of neurophysiological changes as potential biomarkers that could help in diagnosis, monitoring disease progression and response to therapies. Such a neuro-marker that would overcome the major disadvantages of clinical questionnaires and rating scales (such as the Unified Parkinson's disease rating scale -UPDRS, for PD, The Essential Tremor Rating Assessment Scale -TETRAS, for ET and others), including low test-retest repeatability and subjective judgment of different raters, would have real impact on disease diagnosis and choice of interventions and monitoring of effects of novel therapeutics, including disease modifying therapies. To address this, ElMindA has developed over the last decade a non-invasive, low-cost technology named Brain Network Activation (BNA), which is a new imaging approach that can detect changes in brain activity and functional connectivity. Results from proof-of concept studies on PD patients have demonstrated that: 1) PD patients exhibited a significant decrease in BNA scores relatively to healthy controls; 2) notable changes in functional network activity in correlation with different dopamine-agonist doses; 3) significant correlation between BNA score and the UPDRS). 4) BNA could also differentiate early PD from healthy controls

The aim of the study is to evaluate if patients' personality could be considerate as predictive factor of quality of life after the establishment of continuous infusion of dopaminergic treatments to observe if there are predictive personality's profiles of specific therapeutic response (Deep Brain Stimulation (DBS) of the subthalamic nucleus (STN) or continuous infusion).

The goal of the study is to compare the impact of different actigraphy procedures on the healthcare organization of Parkinson's disease (PK) patients using an apomorphine pump. To do so, the study design includes a patients' randomisation in two groups that will be followed during 6 months.

This study compares the validity and usability of smartphone software for home monitoring of symptoms and signs in Parkinson's disease as compared to the current clinical gold standard - the Unified Parkinsons Disease Rating Scale.

Given the emerging evidence on LRRK2-related biomarkers, this project will focus on identifying leucocyte and urine biomarkers that are altered by the LRRK2 G2385R variant, and investigating the effects of LRRK2 kinase inhibitor (MLi-2) on these biomarkers, using immunoblotting and mass spectrometry.

Parkinson's disease (PD) is a progressive and disabling neurodegenerative disease, clinically characterized by motor and non-motor symptoms. The potential of the "Transcranial direct current stimulation" (tDCS) for symptomatic improvement in these patients has been demonstrated, but the factors associated with the best therapeutic response are not known. The electroencephalogram (EEG) is considered as a diagnostic and prognostic biomarker of PD, and has been used in recent studies associated with machine-learning methods to identify predictors of responses in neurological and psychiatric conditions. Using connectivity-based prediction and machine-learning, the investigators intend to identify and compare characteristics related to baseline resting EEG between PD responders and non-responders to tDCS treatment. The recruited participants will be randomized to treatment with active tDCS associated with dual-task motor therapy or motor therapy with visual cues. A resting-state electroencephalography (EEG) will be recorded prior to the start of the treatment. The investigators will determine clinical improvement labels used for machine learning classification, in baseline and posttreatment assessments and will use three different methods to categorize the data into two classes (low or high improvement): Support Vector Machine (SVM), Linear Discriminant Analysis (LDA) and Extreme Learning Machine (ELM). The functional label will be based on the Timed Up and Go Test recorded at baseline and posttreament of tDCS treatment.

The first goal of the study is to investigate whether an algorithm can reliably detect Freezing of Gait (FOG) in Parkinson patients based on participant gait data generated by a pressure insole. The second goal is to investigate whether Auditive Cueing (AC) based on such a detection reduces the frequency and length of FOG episodes in those participants. The study will be conducted per Good Clinical Practice principles.

This study evaluates an educational brochure tailored to caregivers of people with Alzheimer's disease, Parkinson's disease dementia, Lewy body disease, frontotemporal dementia, and vascular disease dementia. The goal of the brochure is educating caregivers about the decreased ability to detect emotion and decreased empathy that can be seen in dementia, increasing caregiver competence in providing care, and teaching caregivers ways to manage over time that lessens burden and improves quality of life.

This project aims to gain a deep understanding of the available lay/professional community resources and systems of support for people with, and family carers of people with Parkinson's Disease (PD), healthcare professionals and organisations and community groups, and discuss strategies that could approximate interests of voluntary groups, and patients and families. This will constitute a starting point to propose a transformative framework that incorporates dialogue between sectors and levels of care for better living with PD.

Impulse control disorders are frequent and troublesome in patients with Parkinson's disease. However, the cerebral functional alterations related to impulse control disorders in Parkinson's disease are poorly understood and may involve the serotoninergic system besides alterations in the dopaminergic system. The primary objective of this study is to investigate the cerebral functional alterations in the serotoninergic system in patients with Parkinson's disease and impulse control disorders using Positron Emission Tomography with highly specific radiotracers of serotonin transporter (SERT) using [11 Carbon]-3-amino-4-(2-dimethylaminomethylphenylsulfanyl)-benzonitrile ([11C]-DASB) and of serotonin 5-Hydroxytryptamine 2A (5-HT2A) receptor using [18 Fluorine]-altanserin ([18F]-altanserin), in comparison to patients with Parkinson's disease without impulse control disorders and healthy volunteers.