The average does not represent the individual: White matter variability across the brain, across the population, and across the lifespan

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Authors: Kurt Schilling, Lilit Dulyan, Eva Guzmán Chacón, Matthew Amandola, Michael Kim, Bennett Landman, Stephanie Fokel
Cited by: 2

Abstract

Abstract Inter-individual differences in brain anatomy are often treated as noise, yet may encode meaningful principles of organisation. Using >2,800 diffusion MRI scans spanning 0–100 years, we quantified spatial, microstructural and macrostructural variability across 64 major white-matter pathways. Variability is not random: spatial organisation follows a deep-to-superficial gradient, and variability across individuals shows a convergence–divergence profile, decreasing in early development and increasing in ageing. Microstructural and macrostructural features exhibit distinct trajectories and hemispheric asymmetries. Importantly, tract variability relates to individual differences in behaviour, most strongly during development. These results redefine white-matter variability as a structured, developmentally dynamic, lifespan-dependent feature of brain organisation and provide a foundation for normative modelling and precision neuroscience.

Fields of Study & Subjects

Advanced Neuroimaging Techniques and Applications Functional Brain Connectivity Studies Fetal and Pediatric Neurological Disorders

Publication details

Journal / source
Research Square
Publisher
Springer Science and Business Media LLC
Publication date
29 January 2026
Language
EN
Document type
Preprint