Non-invasive assessment of glymphatic dysfunction in middle cerebral artery stenosis based on DTI-ALPS and ro-ALPS

Yidi Zhu1, Luoyu Wang2, Liqing Zhang3

  • 1School of Medical Imaging, Hangzhou Medical College, Hangzhou, China.

Abstract

Insights

Middle cerebral artery stenosis (MCA-S) is linked to impaired perivascular clearance, as shown by lower diffusion tensor image analysis along the perivascular space (DTI-ALPS) and redirected ALPS (ro-ALPS) indices. These imaging biomarkers correlate with choroid plexus volume, indicating potential for disease monitoring.

Area of Science:

  • Neuroimaging
  • Cerebrovascular Diseases
  • Biomarkers

Background:

  • Middle cerebral artery stenosis (MCA-S) affects cerebral perfusion and cerebrospinal fluid dynamics.
  • Perivascular spaces play a crucial role in brain fluid exchange.
  • Investigating perivascular diffusivity offers insights into MCA-S pathophysiology.

Purpose of the Study:

  • To evaluate perivascular diffusivity in MCA-S using DTI-ALPS and ro-ALPS indices.
  • To assess the clinical correlations of these indices with cognitive function and biomarkers.
  • To determine the utility of ALPS indices as potential imaging biomarkers for MCA-S.

Main Methods:

  • Diffusion tensor image analysis along the perivascular space (DTI-ALPS) and redirected ALPS (ro-ALPS) indices were calculated.
  • MRI and cognitive function tests were performed on 37 MCA-S patients and 41 healthy controls.
  • Correlations were analyzed with cognitive scores, HDL, homocysteine, and choroid plexus (CP) volume.

Main Results:

  • Both DTI-ALPS and ro-ALPS indices were significantly lower in the MCA-S group compared to healthy controls (p < 0.001).
  • In MCA-S patients, DTI-ALPS showed a negative correlation with CP volume (r = -0.541, pFDR = 0.012).
  • The ro-ALPS index also demonstrated a negative correlation with CP volume (r = -0.568, pFDR < 0.001).

Conclusions:

  • Perivascular clearance is impaired in MCA-S, evidenced by reduced ALPS indices.
  • ALPS indices serve as imaging biomarkers associated with CP volume in MCA-S.
  • These findings suggest ALPS indices' potential for monitoring MCA-S progression.