Neurodegenerative DiseasesNCT06572332
Simulation-informed Modelling and Personalized Evaluation (SIMPLE) in Ageing Populations
An observational study of Neurodegenerative Diseases and Aging, run by Chinese University of Hong Kong at 1 site in Hong Kong.
Trial 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… Read more about this study
- Who is it for?
- Ages 50 to 90 yearsHealthy volunteers can take part
- Conditions the study is for
- Neurodegenerative Diseases, Aging, Brain
- How many people
- 300 participants
- Where
- 1 siteHong Kong
- Study dates
- 1 Jan 2025to 31 Dec 2026
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 50 to 90 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Ageing adults and adults with sleep disturbances.
Who may be able to join
- 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.
Who cannot join
- 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.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
About this study
Official title: Simulation-informed Modelling and Personalized Evaluation (SIMPLE): A Computational Study of MRI-based Brain Age Matrices
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.
Read the detailed description
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
- Neurodegenerative Diseases, Aging, Brain, Cognitive Dysfunction
- Keywords
- MRI, Brain age, Deep learning, Healthy longevity, Resilence, Cognitive maintenance, Simulation, Imaging phenotypes
- Medical subject headings
- Neurodegenerative Diseases, Cognitive Dysfunction
What is being measured
The primary outcome is the main question the study is designed to answer.
Estimated brain age
Using the structural and functional connectivity, individual's brain age is calculated based on the connectivity features of core brain networks.
Measured: Baseline
Cognitive maintenance
The dynamic change of cognitive status is used to evaluate cognitive maintenance. The performance of global cognition is used to determine the cognitive status, including mild neurocognitive disorder (NCD) and major NCD. The global cognition is measured by mini-mental state examination (MMSE).
Measured: Baseline
Plasma β-amyloid
The levels of Aβ42 and Aβ40 in the plasma samples will be quantified by enzyme-linked immunosorbent assay.
Measured: Baseline
Secondary outcomes (4)
Brain-predicted age difference (brain-PAD)
The brain-PAD score is computed as the difference between estimated brain age and chronological age (brain age minus chronological age).
Measured: Baseline
Complex attention
Attention network test (ANT) is an individually administered computerized task designed to evaluate three attentional components.
Measured: Baseline
Memory and learning
Word list learning test consisting of fifteen semantically non-associated words that is presented consecutively over three trials of immediate recall and a 20-min delayed recall.
Measured: Baseline
Executive function
Executive function is measured by the category verbal fluency test (CVFT).
Measured: Baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Aug 2024
- Study start1 Jan 2025
- Primary completion31 Aug 2026 (estimated)
- Study completion31 Dec 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Neurodegenerative DiseasesStudies of the same condition, open and under way.
- More trials run by Chinese University of Hong KongThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 300 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Chinese University of Hong Kong
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, LU Hanna, Chinese University of Hong Kong
- Investigators
- Hanna Lu, PhD, Principal investigator, Chinese University of Hong Kong
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06572332
- Sponsor's protocol ID
- 2023.171
- Status last verified
- Jan 2025
- First submitted
- 25 Aug 2024
- Last updated
- 14 Jan 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 14 Jan 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Simulation-informed Modelling and Personalized Evaluation (SIMPLE): A Computational Study of MRI-based Brain Age Matrices
- ClinicalTrials.gov ID
- NCT06572332
- Acronym / sponsor ID
- 2023.171
- Conditions
- Neurodegenerative Diseases, Aging, Brain, Cognitive Dysfunction
- Keywords
- MRI, Brain age, Deep learning, Healthy longevity, Resilence, Cognitive maintenance, Simulation, Imaging phenotypes
- Study type
- Observational
- Recruitment status
- Enrolling by invitation
- Enrolment
- 300 participants (estimated)
- Lead sponsor
- Chinese University of Hong KongUniversity, hospital or other
- Study start
- 1 Jan 2025 (actual)
- Primary completion
- 31 Aug 2026 (estimated)
- Study completion
- 31 Dec 2026 (estimated)
- First posted
- 27 Aug 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
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
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 50 to 90 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Ageing adults and adults with sleep disturbances.
Key inclusion criteria (2 listed)
- 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.
Key exclusion criteria (3 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Estimated brain age
Time frame: Baseline
Using the structural and functional connectivity, individual's brain age is calculated based on the connectivity features of core brain networks.
Cognitive maintenance
Time frame: Baseline
The dynamic change of cognitive status is used to evaluate cognitive maintenance. The performance of global cognition is used to determine the cognitive status, including mild neurocognitive disorder (NCD) and major NCD. The global cognition is measured by mini-mental state examination (MMSE).
Plasma β-amyloid
Time frame: Baseline
The levels of Aβ42 and Aβ40 in the plasma samples will be quantified by enzyme-linked immunosorbent assay.
4 secondary outcomes
Brain-predicted age difference (brain-PAD)
Time frame: Baseline
Complex attention
Time frame: Baseline
Memory and learning
Time frame: Baseline
Executive function
Time frame: Baseline
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 Jan 2025.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Hanna Lu, PhD principal investigator
Chinese University of Hong Kong
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Neurodegenerative Diseases and Aging, run by Chinese University of Hong Kong at 1 site in Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: enrolling by invitation, as of the sponsor's last update on 14 Jan 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Hong Kong. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Estimated brain age (time frame: Baseline). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 14 Jan 2025.