Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
666-04-003 ISMRM Abstract

Population-specific brain charts reveal Chinese-Western differences in neurodevelopmental trajectories

Primary: Neuro - Development
Secondary: Pediatrics - Normal Development
666-04-003 · Neuroimaging of Brain Development from Fetal Life Through Adolescence: Structure, Function, and Prediction · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row G
Keywords: Normal development Structural Magnetic Resonance Lifespan Brain chart Chinese population
Accepted
Lianglong Sun 1, Wen Qin2, Xinyuan Liang1, Caihong Wang3, Weiwei Men4, Yunyun Duan5, Xue-Ru Fan6, Qing Cai7, Shijun Qiu8, Meiyun Wang9, Qiyong Gong10, Yanghua Tian11, Peipeng Liang12, Zeyu Liu13, Longjiang Zhang14, Jiang Qiu15, Yongqiang Yu11, Ching-Po Lin16, Feng Feng13, Kuncheng Li5, Chunshui Yu2, Yong He1
1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
2Tianjin Medical University General Hospital, Tianjin, China
3The Fifth Affiliated Hospital of Zhengzhou University, China
4Peking University, Beijing, China
5Beijing Tiantan Hospital, Capital Medical University, Beijing, China
6Beijing Normal University, Beijing, China
7East China Normal University, Shanghai, China
8The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
9Henan Provincial People's Hospital, Zhengzhou, China
10Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
11Department of Radiology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
12Capital Normal University, Beijing, China
13Peking Union Medical College Hospital, Beijing, China
14Affiliated Hospital of Medical School, Nanjing University, China
15Southwest University, Chongqing, China
16National Yang Ming Chiao Tung University, Taipei, Taiwan
Presenting Author: Lianglong Sun

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Bethlehem, R.A.I., et al. Brain charts for the human lifespan. Nature 604, 525–533 (2022). doi: 10.1038/s41586-022-04554-y [doi]
2. Rutherford, S. Charting brain growth and aging at high spatial precision. eLife 11, e72904 (2022). doi: 10.7554/eLife.72904 [doi]
3. Ge, R., et al. Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation. Lancet Digit Health 6, e211-e221 (2024). doi: 10.1016/S2589-7500(23)00250-9 [doi]
4. Liang, X., et al. Dissecting human cortical similarity networks across the lifespan. Neuron 113 (19), 3275-3295.e11 (2025). doi: 10.1016/j.neuron.2025.06.018 [doi]
5. Dorfschmidt, L., et al. Charting structural brain asymmetry across the human lifespan. bioRxiv (2025). doi: 10.1101/2025.07.21.665924 [doi]
6. Sun, L., et al. Human lifespan changes in the brain’s functional connectome. Nat Neurosci 28, 891–901 (2025). doi: 10.1038/s41593-025-01907-4 [doi]
7. Rutherford, S., et al. Evidence for embracing normative modeling. eLife 12, e85082 (2023). doi: 10.7554/eLife.85082 [doi]
8. Iyer, K.K., et al. A growth chart of brain function from infancy to adolescence based on EEG. eBioMedicine 102 (2024). doi: 10.1016/j.ebiom.2024.105061 [doi]
9. Taylor, H.P., et al. Functional Hierarchy of the Human Neocortex from Cradle to Grave. bioRxiv (2024). doi: 10.1101/2024.06.14.599109 [doi]
10. Marquand, A.F., et al. Conceptualizing mental disorders as deviations from normative functioning. Mol Psychiatry 24, 1415-1424 (2019). doi: 10.1038/s41380-019-0441-1 [doi]
11. Segal, A., et al. Embracing variability in the search for biological mechanisms of psychiatric illness. Trends Cogn Sci 29, 85-99 (2025). doi: 10.1016/j.tics.2024.09.010 [doi]
12. Ge, J., et al. Increasing diversity in connectomics with the Chinese Human Connectome Project. Nat Neurosci 26, 163-172 (2023). doi: 10.1038/s41593-022-01215-1 [doi]
13. Fan, X.R., et al. A longitudinal resource for population neuroscience of school-age children and adolescents in China. Sci Data 10, 545 (2023). doi: 10.1038/s41597-023-02377-8 [doi]
14. Fu, J., et al. Cross-ancestry genome-wide association studies of brain imaging phenotypes. Nat Genet 56, 1110-1120 (2024). doi: 10.1038/s41588-024-01766-y [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/666-04-003