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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ENROLLING_BY_INVITATION

Total Enrollment

300 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-01-01

Study Completion Date

2026-12-31

Brief Summary

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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.

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Detailed Description

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The score of brain-PAD has threefold explanations: a. negative score representing decelerated brain ageing (brain age\<chronological age); b. positive score representing accelerated brain ageing (brain age\>chronological age); c. score equal to zero, representing normal brain ageing (brain age=chronological age). The score of brain-PAD indicates the brain ageing pattern with the interaction of lifestyle and cognitive status at individual level. For example, based on structural MRI scans, a younger brain age or a negative score of brain-PAD was found to be associated with better cognition, which indicates the potential utilities of brain age matrices in predicting individual's cognitive maintenance and healthy longevity

Conditions

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Neurodegenerative Diseases Aging Brain Cognitive Dysfunction

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Chinese old adults are the ones who are over 60 years of chronological age.
* Sleep disturbance: individual's subjective sleep quality is assessed using the Pittsburgh Sleep Quality Index (PSQI) with a total score \>5.

Exclusion Criteria

* History of bipolar disorders or psychosis.
* History of major neurological deﬁcits, including stroke, transient ischemic attack or brain tumor.
* Unable to participant magnetic resonance imaging (MRI) scanning.

Minimum Eligible Age

50 Years

Maximum Eligible Age

90 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes