Cerebral perivascular spaces as predictors of dementia risk and accelerated brain atrophy

Giuseppe Barisano1, Michael Iv2,

  • 1Department of Neurosurgery, Stanford University, Stanford, CA, USA.

Insights

New MRI methods can assess perivascular spaces (PVS) to predict dementia risk. Fewer PVS and larger PVS size indicate higher risk and faster brain atrophy, aiding clinical trial design.

Area of Science:

  • Neuroimaging
  • Vascular Neurology
  • Geriatric Medicine

Background:

  • Cerebral small vessel disease is a key dementia risk factor, but lacks reliable in vivo measurement tools.
  • Perivascular spaces (PVS) on MRI may reflect small vessel health and the perivascular compartment.
  • Existing PVS assessment methods are not robust for large-scale studies.

Conclusions:

  • Automated PVS assessment using novel MRI algorithms provides robust, in vivo biomarkers for cerebrovascular health.
  • PVS count and size are significant predictors of dementia risk and brain atrophy.
  • These radiographic markers can enhance individual risk stratification for dementia.
  • Incorporating PVS markers into clinical trial design can improve efficiency and reduce costs in dementia research.