Research of Biomarkers in Parkinson Disease
Parkinson DiseaseMultiple System Atrophy4 moreThe main goal of the GENEPARK consortium is to employ innovative haemogenomic approaches to determine gene expression profiles specific for genetic and idiopathic Parkinson's disease (PD) patients. These gene expression signatures will be utilised clinically as non-invasive diagnostic tests for PD. The sensitivity of the newly developed diagnostic test will be determined by extensive validations on an independent cohort of PD patients, whereas the specificity will be assessed by testing patients with atypical parkinsonisms, including multiple system atrophy, progressive supranuclear palsy and diffuse Lewy body disease. In order to test the specificity of the diagnostic set in other disorders that affect basal ganglia, Huntington's disease and dopa responsive dystonia patients will be analysed. The second objective of the proposal is to determine correlations between gene expression signatures and different stages of PD and thus provide the basis for early diagnosis and monitoring of disease progression. These changes in blood gene expression will be correlated with alterations detected by neuroimaging in the brain of PD patients. Such combinations of molecular and morphological markers of disease may ultimately facilitate the selection and monitoring of neuroprotective therapies for PD. Finally, GENEPARK aims to develop new bioinformatic software tools for selection of genomic biomarkers using microarray data. A set of established computational tools will be applied and novel methods, some of them based on mechanistic modelling of the neurodegenerative diseases, will be developed in order to study the advantages and limitations of the different methodologies. With special emphasis on the careful clinical selection of patients and sufficient power regarding patient numbers, as well as extensive quality control and validation of the data, GENEPARK aims to develop a standardised approach to development and validation of haemogenomic biomarkers of disease.
Quality of Life of Caregivers and Patients Suffering From Multiple System Atrophy
Multiple System AtrophyMultiple system atrophy (MSA) is a rare and fatal neurodegenerative disorder that cause as other neurodegenerative diseases profound declines in functioning and thus, require caregiving for assistance with daily living. The aim of the study is to evaluate the effect of a multimodal intervention as proposed by the NYU Caregiver Counseling and Support Intervention (NYUCI) on the quality of life of patients and their caregivers.
Cognitive Impairement In Frontotemporal Dementia
Frontotemporal DegenerationProgressive Supranuclear Palsy1 moreThis is an observational study that aims to better understand the genetic causes of frontotemporal degeneration (FTD), Multiple Systems Atrophy (MSA), and Progressive Supranuclear Palsy (PSP). It is hoped the information gathered in this study will help lead to better diagnostics and future treatments.
Complex Eye Movements in Parkinson's Disease and Related Movement Disorders
Parkinson DiseaseParkinson's Disease and Parkinsonism9 moreDiagnosing Parkinson's disease (PD) depends on the clinical history of the patient and the patient's response to specific treatments such as levodopa. Unfortunately, a definitive diagnosis of PD is still limited to post-mortem evaluation of brain tissues. Furthermore, diagnosis of idiopathic PD is even more challenging because symptoms of PD overlap with symptoms of other conditions such as essential tremor (ET) or Parkinsonian syndromes (PSs) such as progressive supranuclear palsy (PSP), multiple system atrophy (MSA), corticobasal degeneration (CBD), or vascular Parkinsonism (VaP). Based on the principle that PD and PSs affect brain areas involved in eye movement control, this trial will utilize a platform that records complex eye movements and use a proprietary algorithm to characterize PSs. Preliminary data demonstrate that by monitoring oculomotor alterations, the process can assign PD-specific oculomotor patterns, which have the potential to serve as a diagnostic tool for PD. This study will evaluate capabilities of the process and its ability to differentiate PD from other PSs with statistical significance. The specific aims of this proposal are: To optimize the detection and analysis algorithms, and then to evaluate the process against neurological diagnoses of PD patients in a clinical study.
Defining Phenotypes of Movement Disorders :Parkinson's Plus Disorders (PD), Essential Tremor (ET),...
Essential TremorMultiple System Atrophy4 moreInvestigators hypothesize that there are specific characteristic of each cognitive and motor condition that can be defined using brains scans.
Identifying Biomarkers of Parkinson's Disease Using Magnetic Resonance Imaging (MRI)
Parkinson's Disease (PD)Parkinsonism2 moreThis study is designed to determine if magnetic resonance imaging (MRI) measures can be used to diagnose and monitor the progression of Parkinson's disease (PD) while distinguishing between PD and parkinsonisms [conditions that are PD look-a-like diseases such as progressive supranuclear palsy (PSP) or multiple system atrophy (MSA)] when combined with changes in certain proteins in body fluids that are related to iron (Fe).
Autonomic Failure Patients for RNA Blood Sampling
Pure Autonomic FailureMultiple System Atrophy1 moreThe purpose of this study is to identify 15 patients with autonomic failure and obtain blood samples for RNA from those participants and 15 control subjects within the same age range. The stabilized blood samples, along with a limited data set, will be shipped to Western Michigan University where the actual laboratory analysis (a separate study) of the samples will take place. Unique genetic inscriptions, called gene expression signatures, are currently being identified for many diseases, including neurological diseases. The secondary goal of this study is to support the research being done at WMU and they try to look for MSA-specific signs are present in whole blood samples of MSA patients at late-stages of the disease. This is a pilot study that has a long term goal (through additional studies) a MSA-specific gene expression signature for the development of a diagnostic test for this disease that can be used in the future. Other patient groups with autonomic failure, characterized by significant drop in blood pressure on standing, will also be included in this study, to look for similar genetic inscriptions. This pilot study is expected to last for 2 years. The investigators at WMU will need some de-identified health Information about the subjects, including their age at diagnosis, age (when sample drawn) and list of their medications
Cognitive and Behavioral Dysexecutive Syndrome in Multiple System Atrophy
Multiple System AtrophyThe main objective of the study is to compare the score to the Behavioral Dysexecutive Syndrome Inventory (BDSI) between Parkinsonian Multiple system Atrophy MSA-P patients and cerebellar Multiple System Atrophy (MSA-C) patients matched on disease duration, age (± 7 years) and sex .
Transcranial Duplex Scanning and Single Photon Emission Computer Tomography (SPECT) in Parkinsonian...
Parkinson's DiseaseParkinsonian Syndrome6 moreThe purpose of the study is to determine the sensitivity and specificity of transcranial duplex scanning (TCD) and single photon emission computer tomography (SPECT) in patients suspected of having Idiopathic Parkinson Disease (PD) or Atypical Parkinson Syndromes (APS) with as golden standard the clinical diagnosis after 2-year follow-up.
Application of Machine Learning Method in Validation of Screening Cognitive Test for Parkinsonisms...
Primary ParkinsonismSecondary Vascular Parkinson Disease3 moreBased on a prospectively collected data analysis, a new tool, namely CoMDA (Cognition in Movement Disorders Assessment) is developed by merging each item of Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and Frontal Assessment Battery (FAB). A machine learning, able to classify the cognitive profile and predict patients' at risk of dementia, is created.