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Simulation-informed Modelling and Personalized Evaluation (SIMPLE) in Ageing Populations

NCT06572332 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2025-01-14

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Chinese University of Hong Kong

    lead OTHER

Principal Investigators

  • Hanna Lu, PhD · Chinese University of Hong Kong

Eligibility

Min Age
50 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-01-01
Primary Completion
2026-08-31
Completion
2026-12-31

Countries

  • Hong Kong

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06572332 on ClinicalTrials.gov