Quantitative Diagnostics of Parkinsonian Syndromes Using Multi-modal Neuroimaging and Deep Learning
University of Texas Southwestern Medical Center
Summary
The goals of this study are: 1) to identify biomarkers using neuroimaging that are associated with progression rate using statistical methods, and 2) to identify biomarkers that are associated with the differential diagnosis of Parkinson's disease and atypical parkinsonism.
Description
Management of patients with parkinsonian symptoms has two critical gaps: (1) there are no clinically accepted biomarkers that may be used to inform disease progression rate in an individual with Parkinson disease (PD), and (2) no biomarkers exist to inform differential diagnosis of conditions that exhibit parkinsonian symptoms and signs. This 2-year study aims to develop a multi-modal neuroimaging biomarker that enables the prediction of disease progression rate in PD, and a biomarker that enables the differential diagnosis of PD, multiple systems atrophy (MSA), progressive supranuclear palsy…
Eligibility
- Age range
- Not specified
- Sex
- All
- Healthy volunteers
- Yes
Inclusion Criteria: For Aim 1: * Diagnosis of Parkinson disease * Existence of sufficient clinical data from previous UTS Southwestern longitudinal study to determine progression rate (categorized as fast or slow) * Availability of suitable matched participant in the alternate progression group (fast or slow) * Willingness to participate in the imaging studies required for this study and to provide written informed consent For Aim 2: PD subjects will be recruited in accordance with the MDS Clinical Diagnostic Criteria for PD. * Duration of PD (since diagnosis) is \< 5 years * Willing to pa…
Location
- UT Southwestern Medical CenterDallas, Texas