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Simulation-informed Modelling and Personalized Evaluation (SIMPLE) in Ageing Populations
Sponsor: Chinese University of Hong Kong
Summary
Multimodal magnetic resonance imaging (MRI), detecting brain structural and functional changes, has emerged as a powerful and promising technique to study individual's brain, as T1-weighted scans can detect morphometric features, diffusion tensor imaging (DTI) scans can quantify structural connectivity, and functional MRI can capture the features of functional connectivity. Notably, with the advances in quantitative methods, computational models of brain age and brain-predicted age difference (brain-PAD) detecting the ageing effects on individual's brain features are becoming increasingly popular in clinical studies, which might revolutionize the diagnostic and prognostic phonotypes of age-related brain diseases globally.
Official title: Simulation-informed Modelling and Personalized Evaluation (SIMPLE): A Computational Study of MRI-based Brain Age Matrices
Key Details
Gender
All
Age Range
50 Years - 90 Years
Study Type
OBSERVATIONAL
Enrollment
300
Start Date
2025-01-01
Completion Date
2026-12-31
Last Updated
2025-01-14
Healthy Volunteers
Yes
Locations (1)
Tai Po Hospital
Hong Kong, Hong Kong