Cirstian, Ramona;
Forde, Natalie J;
Zhang, Gary;
Hellemann, Gerhard S;
Beckmann, Christian F;
Kraguljac, Nina V;
Marquand, Andre F;
(2025)
Lifespan Normative Models of White Matter Fractional Anisotropy: Applications to Early Psychosis.
Biological Psychiatry
10.1016/j.biopsych.2025.07.021.
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Abstract
BACKGROUND: This study presents large-scale normative models of white matter (WM) organization across the lifespan, using diffusion MRI data from over 25,000 healthy individuals aged 0-100 years. These models capture lifespan trajectories and inter-individual variation in fractional anisotropy (FA), a marker of white matter integrity. METHODS: By addressing non-Gaussian data distributions, self-reported race, and site effects, the models offer reference baselines across diverse ages, and scanning conditions. We applied these FA models to the HCP Early Psychosis cohort and performed a multivariate analysis to map symptoms onto deviations from multimodal normative models using multi-view sparse canonical correlation analysis (msCCA). RESULTS: Our results reveal extensive white matter heterogeneity in psychosis, which is not captured by group-level analyses, with key regions identified, including the right uncinate fasciculus and thalami. CONCLUSION: These normative models offer valuable tools for individualized WM deviation identification, improving precision in psychiatric assessments. All models are publicly available for community use.
| Type: | Article |
|---|---|
| Title: | Lifespan Normative Models of White Matter Fractional Anisotropy: Applications to Early Psychosis |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.biopsych.2025.07.021 |
| Publisher version: | https://doi.org/10.1016/j.biopsych.2025.07.021 |
| Language: | English |
| Additional information: | Under a Creative Commons license https://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Diffusion MRI, Lifespan trajectories, Normative models, Precision medicine, Psychosis, White matter integrity |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10214139 |
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