Diffusion <scp>MRI</scp> Microstructure Markers of Changes in the Human Brain Across the Lifespan Using Constrained Spherical Deconvolution and Fixel‐Based Techniques

Understanding how the brain develops, matures, ages, and declines is one of the fundamental questions facing neuroscience. This study uses 3-tissue constrained spherical deconvolution (3T-CSD) and more recently developed fixel-based derivatives to examine the relationship between brain diffusion microstructure and chronological age. These metrics are able to quantify signal fraction measurements at the voxel-wise level from six different tissue microenvironments found in the brain: extracellular free water, intracellular isotropic, intracellular anisotropic, fiber density and cross-section, the g-ratio, and aggregate conduction velocity. This study analyzes the Nathanial Kline Institute's Rockland cohort, a large-scale community sample of brain MRI data across the lifespan (409 subjects, ages 5-85 years). 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 and g-ratio, a negative relationship between age and intracellular isotropic signal fraction, fiber density and cross-section, and conduction velocity, 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 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 and fixel-based metrics are 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 analysis of microstructure changes in the presence of pathology or with behavior. Finally, the detailed analysis of lateralized ROI results can inform diffusion microstructure studies examining cortical and subcortical regions.

Authors

Institutions

Publication Details

Journal
Human Brain Mapping
Published
2025-11-01
DOI
https://doi.org/10.1002/hbm.70403
Citations
1
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diffusion MRI Microstructure Markers of Changes in the Human Brain Across the Lifespan Using Constrained Spherical Deconvolution and Fixel‐Based Techniques

Benjamin T. Newman, John D. Van Horn, T. Jason Druzgal
1 citations
Human Brain Mapping
Advanced Neuroimaging Techniques and Applications
1.36
article

Diffusion MRI Microstructure Markers of Changes in the Human Brain Across the Lifespan Using Constrained Spherical Deconvolution and Fixel‐Based Techniques

Benjamin T. Newman, John D. Van Horn, T. Jason Druzgal
article en
1 citations

Abstract

Understanding how the brain develops, matures, ages, and declines is one of the fundamental questions facing neuroscience. This study uses 3-tissue constrained spherical deconvolution (3T-CSD) and more recently developed fixel-based derivatives to examine the relationship between brain diffusion microstructure and chronological age. These metrics are able to quantify signal fraction measurements at the voxel-wise level from six different tissue microenvironments found in the brain: extracellular free water, intracellular isotropic, intracellular anisotropic, fiber density and cross-section, the g-ratio, and aggregate conduction velocity. This study analyzes the Nathanial Kline Institute's Rockland cohort, a large-scale community sample of brain MRI data across the lifespan (409 subjects, ages 5-85 years). 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 and g-ratio, a negative relationship between age and intracellular isotropic signal fraction, fiber density and cross-section, and conduction velocity, 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 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 and fixel-based metrics are 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 analysis of microstructure changes in the presence of pathology or with behavior. Finally, the detailed analysis of lateralized ROI results can inform diffusion microstructure studies examining cortical and subcortical regions.

Human Brain MappingVol. 46(16)
University of Virginia (US)
Openalex Percentile: Top 14%
Advanced Neuroimaging Techniques and Applications
1.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.