Normal Chinese Lifespan Brain Charts Initiative (NCLBCI)
Establishment of Chinese Brain Charts for Individualized Diagnosis of Major Brain Diseases
1 other identifier
observational
10,000
1 country
1
Brief Summary
Major brain diseases (including neuroimmune diseases, neurodegenerative diseases, and cerebrovascular diseases) are leading causes of death and disability in humans. This research will gather brain imaging data from more than 10,000 participants across multiple age groups from multiple centers nationwide. Using standardized modeling methods, the investigators aim to establish normal brain imaging reference values for the Chinese population. (1) The study will reveal population-level patterns of brain structure changes and determine normal reference values for brain structure at different ages. (2) Non-invasive imaging methods will be applied to evaluate blood-brain barrier changes without the need for invasive procedures, establishing age-related permeability patterns and normal values in healthy populations. Additionally, functional magnetic resonance imaging (fMRI) will be combined to provide brain function indicators at various scales, creating comprehensive multi-dimensional function charts. (3) These brain structure and function charts will be applied to the individualized diagnosis and treatment of major brain diseases, including neuroimmune diseases (Multiple Sclerosis \[MS\], Neuromyelitis Optica Spectrum Disorders \[NMOSD\]), neurodegenerative diseases (Alzheimer's disease \[AD\], Parkinson's disease \[PD\]), and cerebrovascular diseases (Cerebral Small Vessel Diseases \[cSVD\]). This approach will facilitate early disease diagnosis and provide precise, individualized assessments of treatment efficacy and prognosis prediction. The established brain structure and function charts will be accessible via interactive websites or software, enabling real-time online data updates and individualized percentile outputs for brain structure and function. By inputting the target data, users can obtain individualized evaluation metrics for brain structure and function. The project's implementation and application hold great potential for broad use, promotion, and high translational potential.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Dec 2023
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2023
CompletedFirst Submitted
Initial submission to the registry
September 24, 2024
CompletedFirst Posted
Study publicly available on registry
October 16, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2026
ExpectedDecember 30, 2025
December 1, 2025
2.1 years
September 24, 2024
December 22, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (5)
Number of Brain Imaging Scans Collected and Processed Across Multiple Centers
The primary outcome will be the total number of brain imaging scans (including 3DT1WI, 3DFLAIR, DKI, ASL, VEXI, MRA, and resting-state fMRI) successfully collected and processed across multiple centers. These scans will be aggregated by type (e.g., 3DT1WI, 3DFLAIR) and by imaging modality. Standardized imaging processing methods will be applied to ensure consistency in data quality and preparation for constructing brain structure and function charts.
December 2023 - May 2025
Accuracy and Reliability of Structural Brain Chart Models
The primary outcome will be the accuracy and reliability of the structural brain chart models, assessed through metrics such as mean absolute error (MAE), R-squared (R²), and Z-scores across multiple centers. Model performance will be evaluated based on the deviation of predicted brain structure volumes (e.g., gray matter volume, white matter volume, total intracranial volume) from actual collected data. Validation will include testing the charts on retrospective and prospective datasets from the primary center and additional participating centers. The models will be optimized iteratively based on these evaluations.
December 2023 - November 2025
Accuracy and Reliability of Functional Brain Chart Models
The outcome will be the accuracy and reliability of the functional brain chart models, assessed using metrics such as correlation coefficients, Z-scores, and functional connectivity strength across multiple brain regions. The performance will be validated using longitudinal multimodal functional brain data (e.g., resting-state fMRI, cerebral blood flow, regional homogeneity). Model reliability will be evaluated by comparing predicted functional measures with observed data across longitudinal time points.
December 2024 - May 2026
User Access and Interaction Metrics on Brain Chart Online Platform
The outcome will measure the number of user interactions and successful use cases on the real-time interactive online platform. Key metrics will include the number of users, frequency of data input and retrieval, and the accuracy of the generated individualized brain structure and function parameters based on user-provided data. Platform reliability and performance will be validated through user feedback and system testing.
June 2025 - May 2026
Number of Brain Chart Products Released and Marketed
The outcome will measure the number of brain chart products that have been successfully productized and promoted for market application. This includes the completion of product development, official product launches, and market penetration metrics such as user adoption rates and commercial distribution.
June 2026 - November 2026
Secondary Outcomes (2)
Number of Peer-Reviewed Papers Published and Patents Filed
June 2024 - November 2026
Number of Multicenter Sites Using Brain Charts for Clinical and Research Purposes
December 2025 - November 2026
Study Arms (2)
Nationwide retrospective neuroimaging data collection (5,000 participants)
The primary imaging modalities include 3D T1-weighted imaging (3D T1WI) and 3D fluid-attenuated inversion recovery (3D FLAIR), along with basic demographic information, health status, and neuropsychological assessments.
Nationwide prospective neuroimaging cohort of the Chinese normal population (5,000 participants).
This cohort will include multimodal imaging sequences (3D T1-weighted imaging, 3D FLAIR, diffusion kurtosis imaging \[DKI\], arterial spin labeling \[ASL\], vascular water exchange imaging \[VEXI\], magnetic resonance angiography \[MRA\], and resting-state functional MRI \[rest-fMRI\]). Detailed demographic information, neuropsychological assessments, standardized questionnaires, and basic physical examinations will also be collected. Multimodal neuroimaging data and neuropsychological assessments will be followed up twice (at 1 year and 2 years).
Interventions
This study does not involve any interventions.
Eligibility Criteria
Healthy individuals aged 6 to 90 years are eligible to participate in the study.
You may qualify if:
- Healthy individuals with normal physical function who can lie supine without medical issues (e.g., no difficulty breathing, physical pain, nausea, or dizziness);
- No claustrophobia;
- No metal implants in the body (e.g., metal teeth, intrauterine devices, pacemakers, etc.).
You may not qualify if:
- Presence of metal implants in the body;
- Individuals who have undergone aneurysm surgery or have aneurysm clips in the brain;
- Contraindications to MRI examination;
- Prospective cohort participants who are unable to meet follow-up requirements.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Beijing Tiantan Hospitallead
- Peking University Shenzhen Hospitalcollaborator
Study Sites (1)
Beijing Tiantan Hospital, Capital Medical University
Beijing, Beijing Municipality, 100070, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Yaou Liu, Doctor
Beijing Tiantan Hospital
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- OTHER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
September 24, 2024
First Posted
October 16, 2024
Study Start
December 1, 2023
Primary Completion
December 31, 2025
Study Completion (Estimated)
December 1, 2026
Last Updated
December 30, 2025
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
- Time Frame
- Within 3 years after the end of the trial.
- Access Criteria
- The neurosurgeon and radiologist submitting the application to Professor Liu.
Clinical and MR data can be shared.