AI Article Synopsis

  • The study investigates how white matter (WM) microstructure develops and declines with age, creating reference curves to track these changes throughout the human lifespan using data from 40,898 subjects aged 3 to 95.
  • They employed diffusion MRI (dMRI) techniques and found that the ComBat-GAM method harmonized data most effectively, aligning with known WM maturation patterns.
  • The research also revealed that the ApoE4 gene, linked to dementia risk, affects WM microstructure even in healthy individuals, highlighting significant interactions between age and genetic factors across different brain regions.

Article Abstract

Age-related white matter (WM) microstructure maturation and decline occur throughout the human lifespan, complementing the process of gray matter development and degeneration. Here, we create normative lifespan reference curves for global and regional WM microstructure by harmonizing diffusion MRI (dMRI)-derived data from ten public datasets (N = 40,898 subjects; age: 3-95 years; 47.6% male). We tested three harmonization methods on regional diffusion tensor imaging (DTI) based fractional anisotropy (FA), a metric of WM microstructure, extracted using the ENIGMA-DTI pipeline. ComBat-GAM harmonization provided multi-study trajectories most consistent with known WM maturation peaks. Lifespan FA reference curves were validated with test-retest data and used to assess the effect of the ApoE4 risk factor for dementia in WM across the lifespan. We found significant associations between ApoE4 and FA in WM regions associated with neurodegenerative disease even in healthy individuals across the lifespan, with regional age-by-genotype interactions. Our lifespan reference curves and tools to harmonize new dMRI data to the curves are publicly available as eHarmonize (https://github.com/ahzhu/eharmonize).

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10925090PMC
http://dx.doi.org/10.1101/2024.02.22.581646DOI Listing

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