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Related Experiment Video

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3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

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Published on: May 19, 2015

Lifespan normative modeling of brain microstructure.

Julio E Villalón-Reina¹, Alyssa H Zhu², Leila Nabulsi³

¹Imaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. julio.villalon@ini.usc.edu.

Nature Communications

|May 27, 2026

Summary

This study introduces the first large-scale normative model of white matter (WM) microstructure using diffusion MRI from over 54,000 individuals. This model aids in detecting brain abnormalities across various neurological and psychiatric disorders.

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Last Updated: May 29, 2026

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Published on: May 19, 2015

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Published on: October 13, 2023

Area of Science:

Neuroimaging
Brain Microstructure Analysis
Population Neuroscience

Background:

Normative models for brain metrics are crucial for identifying abnormalities in various disorders.
Existing models do not cover white matter (WM) microstructure.
A large-scale, lifespan-spanning model for WM microstructure is needed.

Purpose of the Study:

To develop a large-scale normative model of brain white matter (WM) microstructure.
To establish age- and sex-specific centile curves for WM metrics.
To demonstrate the model's utility in identifying WM deviations in neurological and psychiatric conditions.

Main Methods:

Utilized 19 international diffusion MRI datasets (N=54,583, age 4-91).
Extracted regional diffusion tensor imaging (DTI) metrics using standardized protocols.
Employed hierarchical Bayesian regression (HBR) to model WM metrics against age and sex.

Main Results:

Generated average lifespan trajectories and centile curves for WM microstructure across regions.
Successfully detected and visualized WM microstructural deviations in mild cognitive impairment, Alzheimer's disease, and 22q11.2 deletion syndrome.
The model provides a reference for identifying disease effects on brain microstructure.

Conclusions:

The developed large-scale normative model is a valuable, publicly available resource for neuroscience research.
The model facilitates the identification and comparison of WM abnormalities across disorders.
It serves as a foundation for future extensions and integration with new datasets.