Spatial and signal features of white matter integrity and associations with clinical factors: A CARDIA brain MRI

Faezeh Vedaei1, Dhivya Srinivasan1, Drew Parker2

  • 1AI(2)D, Center for AI and Data Science for Integrated Diagnostics, and Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA.

Neuroimage. Clinical
|March 18, 2025
PubMed

Insights

Diffusion tensor imaging (DTI) can predict white matter hyperintensities (WMH) growth by detecting subtle white matter (WM) alterations. These changes in normal appearing white matter (NAWM) are linked to cognitive decline years before WMH develop.

Area of Science:

  • Neuroimaging
  • Cerebrovascular Health
  • Aging Brain

Background:

  • White matter hyperintensities (WMH) are linked to cognitive decline and aging.
  • Normal appearing white matter (NAWM) near WMH, known as the penumbra, is vulnerable to future pathology.
  • Magnetic resonance imaging (MRI) can assess white matter integrity.

Purpose of the Study:

  • To identify MRI features predicting WMH growth.
  • To compare predictive features based on spatial proximity versus signal characteristics in NAWM.
  • To investigate the association between WM integrity, WMH growth, and cognitive decline.

Main Methods:

  • Utilized multimodal MRI (FLAIR, DTI, CBF) from baseline and 5-year follow-up scans of 485 middle-aged adults (CARDIA study).
  • Analyzed WM regions including baseline WMH, new WMH, and penumbra.
  • Assessed fractional anisotropy (FA), median diffusivity (MD), FLAIR, and cerebral blood flow (CBF) in NAWM.

Main Results:

  • 80% of new WMH developed within the baseline penumbra.
  • Lower FA, CBF, and higher FLAIR, MD in NAWM predicted WMH growth.
  • Subthreshold FA and suprathreshold MD/FLAIR abnormalities in NAWM were robust predictors.
  • Baseline systolic blood pressure correlated with NAWM abnormalities and cognitive decline.

Conclusions:

  • Diffusion tensor imaging (DTI) effectively predicts WMH growth by detecting adverse white matter alterations.
  • These subtle WM changes precede WMH development and are associated with cognitive function.
  • Findings support DTI's role in identifying individuals at risk for WMH and cognitive decline.