Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
504-02-002 ISMRM Abstract

Lifespan Normative Modeling of Diffusion MRI in 54,583 Participants and Deployment on Local Data

Accepted
Julio E Villalon Reina 1, Alyssa H Zhu2, Sebastian Benavidez3, Clara A Moreau4, Yixue Feng1, Tamoghna Chattopadhyay5,6, Leila Nabulsi1, Leila Kushan7, Carrie E Bearden7, John P John8, Himanshu Joshi8, Ganesan Venkatasubramanian8, Sophia Thomopoulos6, Katherine E Lawrence1, Talia M Nir1, Neda Jahanshad9, Seyed M Kia10, Andre Marquand11,12,13, Paul M Thompson6
1Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, United States of America
2Keck School of Medicine, University of Southern California, Los Angeles, United States of America
3Yale School of Medicine, New Haven, United States of America
4University of Montreal, Montreal, Canada
5USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, United States of America
6USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, United States of America
7David Geffen School of Medicine at UCLA, Los Angeles, United States of America
8Multimodal Brain Image Analysis Laboratory, Department of Psychiatry,, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
9University of Southern California, Los Angeles, United States of America
10Department of Cognitive Science and Artificial Intelligence, Tilburg School of Humanities and Digital Sciences, Tilburg University, Tilburg, Netherlands
11Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, Netherlands
12Department for Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
13Institute of Psychiatry, Psychology, & Neuroscience, King’s College London, London, United Kingdom
Presenting Author: Julio E Villalon Reina

Synopsis

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References

1. Rutherford, S. et al. The normative modeling framework for computational psychiatry. Nat. Protoc. 17, 1711–1734 (2022).
2. Bethlehem, R. A. I. et al. Brain charts for the human lifespan. Nature 604, 525–533 (2022).
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)
4. Villalón-Reina, J. E. et al. Altered white matter microstructure in 22q11.2 deletion syndrome: a multisite diffusion tensor imaging study. Mol. Psychiatry 25, 2818–2831 (2020).
5. Casey, B. J. et al. The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites. Dev. Cogn. Neurosci. 32, 43–54 (2018).
6. Snoek, L. et al. The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses. Sci Data 8, 85 (2021).
7. Taylor, J. R. et al. The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample. Neuroimage 144, 262–269 (2017).
8. Valdes-Sosa, P. A. et al. The Cuban Human Brain Mapping Project, a young and middle age population-based EEG, MRI, and cognition dataset. Sci Data 8, 45 (2021).
9. Ge, J. et al. Increasing diversity in connectomics with the Chinese Human Connectome Project. Nat. Neurosci. 26, 163–172 (2023).
10. Harms, M. P. et al. Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects. Neuroimage 183, 972–984 (2018).
11. Van Essen, D. C. et al. The Human Connectome Project: a data acquisition perspective. Neuroimage 62, 2222–2231 (2012).
12. Walker, L. et al. The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI). Neuroimage 124, 1125–1130 (2016).
13. Jernigan, T. L. et al. The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository. Neuroimage 124, 1149–1154 (2016).
14. Satterthwaite, T. D. et al. The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth. Neuroimage 124, 1115–1119 (2016).
15. Strike, L. T. et al. The Queensland Twin Adolescent Brain Project, a longitudinal study of adolescent brain development. Sci Data 10, 195 (2023).
16. de Zubicaray, G. I. et al. Meeting the Challenges of Neuroimaging Genetics. Brain Imaging Behav. 2, 258–263 (2008).
17. Liu, W. et al. Longitudinal test-retest neuroimaging data from healthy young adults in southwest China. Sci Data 4, 170017 (2017).
18. Miller, K. L. et al. Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nat. Neurosci. 19, 1523–1536 (2016).
19. Zavaliangos-Petropulu, A. et al. Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3. Front. Neuroinform. 13, 2 (2019).
20. Thomopoulos, S. I. et al. Diffusion MRI metrics and their relation to dementia severity: effects of harmonization approaches. in 17th International Symposium on Medical Information Processing and Analysis vol. 12088 166–179 (SPIE, 2021).
21. LaMontagne, P. J. et al. OASIS-3: Longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and Alzheimer disease. bioRxiv (2019) doi:10.1101/2019.12.13.19014902. [doi]
22. Parkinson Progression Marker Initiative. The Parkinson Progression Marker Initiative (PPMI). Prog. Neurobiol. 95, 629–635 (2011).
23. Alexander, L. M. et al. An open resource for transdiagnostic research in pediatric mental health and learning disorders. Sci Data 4, 170181 (2017).
24. Lee, J. et al. Deep phenotyping and genomic data from a nationally representative study on dementia in India. Sci Data 10, 45 (2023).
25. Jalbrzikowski, M. et al. Altered white matter microstructure is associated with social cognition and psychotic symptoms in 22q11.2 microdeletion syndrome. Front. Behav. Neurosci. 8, 393 (2014).
26. Kia, S. M. et al. Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression. PLoS One 17, e0278776 (2022).

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