View clinical trials related to Parkinsonian Syndrome.
Filter by:Bradykinesia is a key parkinsonian feature yet subjectively assessed by the MDS-UPDRS score, making reproducible measurements and follow-up challenging. In a Movement Disorder Unit, the investigators acquired a large database of videos showing parkinsonian patients performing Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III protocols. Using a Deep Learning approach on these videos, the investigators aimed to develop a tool to compute an objective score of bradykinesia from the three upper limb tests described in the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III.
Diagnosing 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.
This is a multicenter, open-label, non-controlled, non-randomized, phase 3 clinical study to compare the SPECT findings after a single IV administration of DaTSCAN™ ioflupane (123I) injection for patients with a clinical diagnosis of Parkinsonian syndrome (PS) involving striatal dopaminergic deficit (SDD; specifically, Parkinson's disease [PD] [SDD], multiple system atrophy [MSA] [SDD] or or progressive supranuclear palsy [PSP] [SDD]) as compared with patients with a clinical diagnosis of essential tremor (ET) (no SDD) and age-matched healthy controls.
The 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.
The overall goal of the study is to evaluate how research participants in Parkinson Disease studies that include brain imaging with a dopamine transporter ligand choose to receive the imaging data and what is the impact of the imaging data information on the management of their symptoms.
We propose to build on preliminary data evaluating non-dopaminergic/non-motor clinical biomarkers to more fully assess these markers at the threshold of Parkinson disease (PD). Development of reliable biomarkers for both dopaminergic and non-dopaminergic manifestations of Parkinson disease (PD) and related disorders may dramatically accelerate research on PD etiology, pathophysiology, and therapeutics. Biomarkers are broadly defined as characteristics that are objectively measured and evaluated as indicators of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. Specific biomarkers may be useful at the onset of neurodegeneration, the onset of disease, and/or to mark disease progression.
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by rigidity, bradykinesia, postural instability, and tremor. Clinical decline reflects ongoing degeneration of dopamine-containing neurons. A critical unmet need for clinical research is to improve early detection of these diseases by developing tools to assist with earlier diagnosis. Biomarkers are broadly defined as characteristics that are objectively measured and evaluated as indicators of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention (Biomarkers Defintions Working Group 2001). Development of reliable biomarkers for PD would dramatically accelerate research on PD etiology, pathophysiology, disease progression and therapeutics. Specific biomarkers may be useful at the onset of neurodegeneration, the onset of disease, and/or to mark disease progression. The biomarkers in this study include brain imaging with a radioactively labelled drug (Beta-CIT), computerized testing of memory, attention, motor speed, judgment and handwriting, and assessments of speech and smell. Subjects may also be asked to provide a blood sample for genetic and biochemical testing.
This study assesses dopamine transporter density using single photon emission computed tomography (SPECT) brain imaging with an investigational radiopharmaceutical, [123I]ß-CIT, in research participants with Parkinson's disease.
The overall goal of this study is to evaluate the use of dopamine transporter (DAT) imaging as a diagnostic tool in subjects with early parkinsonian symptoms, in whom Parkinson's disease (PD) or parkinsonian syndrome (PS) is suspected, but the diagnosis remains unclear from a clinical standpoint.
This study investigates whether there is a change in 123iodine-2ß- carbomethoxy-3ß-(4-iodophenyl) tropane ([123I]ß-CIT) uptake after short-term treatment with levodopa compared to either dopamine agonist or placebo.