bioRxivNeurosciencePreprint
Diffusion MRI microstructure markers of changes in the human brain across the lifespan
Benjamin T. NewmaniD, John D. Van HorniD, T. Jason DruzgaliD
Abstract
Understanding how the brain develops, matures, ages, and declines is one of the fundamental questions facing neuroscience. Recent advances in diffusion MRI microstructure analysis have allowed for detailed descriptions of neuronal change in humans. However, it is essential that findings from these studies are appropriately contextualized to general age-related changes in the brain. This study uses 3-tissue constrained spherical deconvolution (3T-CSD) to examine the relationship between brain diffusion microstructure and chronological age. 3T-CSD is able to quantify signal fraction measurements at the voxel-wise level from three different tissue microenvironments found in the brain: extracellular free water, intracellular isotropic, and intracellular anisotropic. This study applies 3T-CSD analysis to the Nathanial Kline Institutes Rockland cohort, a large-scale community sample of brain MRI data across the lifespan. Microstructural measurements were taken in a number of structures throughout the white matter, subcortical gray matter, and lobar cortical regions while additionally evaluating lateral differences in microstructural measurements. The general trajectory of signal fraction measurements was a positive relationship with age and extracellular signal fraction, a negative relationship between age and intracellular isotropic signal fraction, and an inverted U-shaped trajectory for the intracellular anisotropic signal fraction. In individual sub-areas these trends tended to still be present, with some notable exceptions. However there were large differences in 3T-CSD microstructure measurements between individual structures, including significant lateral differences between hemispheres for each of the subcortical gray matter structures and for each of the cortical regions. These results demonstrate that 3T-CSD is able to describe age-related change across the brain and lifespan. By using a healthy population cohort this study can be used as a point of comparison for 3T-CSD analysis of microstructure changes in the presence of pathology. Finally, the detailed analysis of lateralized ROI results can inform diffusion microstructure studies examining cortical and subcortical regions.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Age and Sex Effects on Advanced White Matter Microstructure Measures in 15,628 Older Adults: A UK Biobank Study
Katherine E. Lawrence, Leila Nabulsi, … Paul M. Thompson·Brain Imaging and BehaviorPeer-reviewed·Sep 18, 2021
- Age differences in brain white matter microstructure in UK Biobank (N = 3,513)
Simon R Cox, Stuart J Ritchie, … Ian J Deary·bioRxiv·May 4, 2016
- Multidimensional MRI reveals cellular-scale microstructural phenotypes in human brain aging
Joon Sik Park, Eppu Manninen, … Dan Benjamini·bioRxiv·Mar 31, 2026
- White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction
Dani Beck, Ann‐Marie G. de Lange, … Lars Tjelta Westlye·NeuroImagePeer-reviewed·Oct 9, 2020
- Age-trajectories of higher-order diffusion properties of major brain metabolites in cerebral and cerebellar grey matter using in vivo diffusion-weighted MR spectroscopy at 3T
Kadir Şimşek, Cécile Galléa, … Marco Palombo·Aging CellPeer-reviewed·Jan 16, 2025
- Aging and white matter microstructure and macrostructure: a longitudinal multi-site diffusion MRI study of 1,184 participants
Kurt G. Schilling, Derek B. Archer, … Bennett A. Landman·bioRxiv·Feb 10, 2022