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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Published on: June 26, 2013

White matter hyperintensity spatial patterns: Risk factors and clinical correlates.

Frauke Beyer1,2, Ami Tsuchida3, Aicha Soumaré1

  • 1Bordeaux Population Health Research Center, Inserm UMR1219, University of Bordeaux, Bordeaux, France.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|April 7, 2025
PubMed
Summary
This summary is machine-generated.

White matter hyperintensities (WMHs) location matters. Frontoparietal WMHs link to blood pressure and dementia risk, while occipital WMHs associate with dementia and hemorrhage, not blood pressure.

Keywords:
dementiageneticsspatial patternsstrokevascular riskwhite matter hyperintensities

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Published on: May 19, 2015

Area of Science:

  • Neurology
  • Neuroimaging
  • Cerebrovascular Disease

Background:

  • White matter hyperintensities (WMHs) are key markers of cerebral small vessel disease (cSVD).
  • WMH pathology can vary based on their location within the brain.
  • Understanding these spatial variations is crucial for cSVD research.

Purpose of the Study:

  • To investigate the clinical and genetic factors associated with distinct spatial patterns of WMHs.
  • To explore the relationship between WMH distribution and cognitive decline, dementia, and stroke incidence.

Main Methods:

  • Utilized Bullseye segmentation to identify seven distinct WMH spatial patterns in 2878 participants (aged 65+).
  • Analyzed associations with vascular risk factors, genetic risk scores (GRS), cognitive performance, and incidence of dementia and stroke.

Main Results:

  • Frontoparietal and anterior periventricular WMHs correlated with blood pressure, WMH GRS, cognitive decline, dementia, and ischemic stroke.
  • Juxtacortical-deep occipital WMHs showed no association with vascular risk factors or WMH GRS.
  • Occipital WMHs were linked to increased risk of all-cause dementia and intracerebral hemorrhage.

Conclusions:

  • WMH spatial distribution is critical for understanding cSVD subtypes.
  • Differentiating WMH patterns aids in identifying specific underlying pathologies.
  • This approach is essential for developing personalized therapeutic strategies for cSVD.