Approved Data Access Requests

First Name	Last Name	Institution/Company	Proposed Analysis	Date Approved
Feruza	Sultamuratova	Al-Farabi Kazakh National University	Research objectives: This study aims to investigate clinical, imaging, and biomarker factors associated with Parkinson's disease progression using the AMP PD dataset. The findings will complement an ongoing PhD project evaluating motor and non-motor manifestations of Parkinson's disease and support a better understanding of disease heterogeneity and patient stratification for advanced therapies, including deep brain stimulation (DBS). Study design: A retrospective observational study will be conducted using de-identified longitudinal data available within the AMP PD platform. Demographic, clinical, neuroimaging, biospecimen, and genetic variables will be analyzed where available. Analysis plan: Descriptive statistics will summarize baseline characteristics. Associations between disease severity, motor and non-motor symptoms, cognitive function, and available biomarkers will be evaluated using appropriate univariate and multivariable statistical methods. Longitudinal analyses will assess factors associated with disease progression over time. Findings will be compared with data from our institutional cohort to identify similarities and differences in clinical trajectories. Research use alignment with data use limitations: The AMP PD data will be used exclusively for non-commercial academic research. All analyses will comply with AMP PD Data Use Agreements and institutional ethical requirements. Only de-identified participant data will be accessed, no attempts will be made to re-identify individuals, and results will be reported only in aggregate form.	11/03/2026