Perivascular Spaces, Diffusivity Along Perivascular Spaces, and Free Water in Cerebral Small Vessel Disease

Hao Li1, Mina A Jacob1, Mengfei Cai1

  • 1From the Department of Neurology (H.L., M.A.J., M.C., F.-E.D.L., A.M.T.), Radboud University Medical Center, Donders Center for Medical Neurosciences, Nijmegen, the Netherlands; Department of Neurology (M.C.), Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China; Donders Institute for Brain (R.P.C.K.), Cognition and Behaviour, Radboud University, Nijmegen; Vincent van Gogh Institute for Psychiatry (R.P.C.K.), Venray; Department of Medical Psychology and Radboudumc Alzheimer Center (R.P.C.K.), Radboud University Medical Center; Donders Institute for Brain (D.G.N.), Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands; Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (M.D.), University of Basel, Switzerland; and Institute for Stroke and Dementia Research (ISD) (M.D.), University Hospital, LMU Munich, Germany.

Neurology
|April 16, 2024
PubMed
Abstract

Insights

Cerebral small vessel disease (SVD) progression is linked to increased perivascular spaces (PVS) and free water (FW), and decreased diffusivity along the perivascular spaces (DTI-ALPS). These MRI markers predict cognitive decline in SVD patients over time.

Area of Science:

  • Neuroimaging
  • Cerebrovascular Diseases
  • Cognitive Neurology

Background:

  • Cerebral small vessel disease (SVD) is associated with cognitive impairments.
  • MRI measures like perivascular spaces (PVS), diffusivity along the perivascular spaces (DTI-ALPS), and free water (FW) are linked to SVD.
  • Longitudinal studies on these MRI markers, SVD progression, and cognitive decline are limited.

Purpose of the Study:

  • To investigate the longitudinal associations between PVS, DTI-ALPS, and FW.
  • To determine how these MRI markers contribute to SVD progression.
  • To explore their impact on cognitive decline in SVD patients.

Main Methods:

  • A cohort study of 289 SVD participants with baseline and follow-up neuroimaging and cognitive assessments (MMSE, cognitive index, processing speed).
  • Quantification of basal ganglia PVS (BG-PVS) volumes, FW fraction, and DTI-ALPS.
  • Latent change score and linear regression mixed models were used to analyze inter-relations and longitudinal associations.

Main Results:

  • Increased BG-PVS, FW fraction, and decreased DTI-ALPS were associated with progression of SVD MRI markers (WMH, lacunes, brain volume).
  • Baseline FW fraction correlated with MMSE score decline.
  • Both FW fraction and DTI-ALPS predicted changes in cognitive index and processing speed over time.

Conclusions:

  • Elevated BG-PVS, increased FW, and reduced DTI-ALPS are associated with SVD progression and cognitive decline.
  • These findings suggest a role for glymphatic dysfunction in SVD progression.
  • Further research is warranted to confirm these associations and explore therapeutic implications.

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