Cortical thickness in clinical moyamoya disease: A magnetic resonance imaging study

Grace Tompkins1, Jacob Levman2, Prahar Ijner2

  • 1Department of Mathematics and Statistics, St. Francis Xavier University, Antigonish, Nova Scotia, Canada.

Insights

Moyamoya disease (MMD) shows abnormal cortical thickness in several brain regions, including the middle temporal visual area. This study used MRI and machine learning to identify these changes, offering new insights into MMD

Area of Science:

  • Neuroimaging
  • Cerebrovascular Disorders
  • Neurology

Background:

  • Moyamoya disease (MMD) is a progressive cerebrovascular disorder with unknown causes.
  • It involves internal carotid artery stenosis and abnormal collateral vessels (moyamoya vessels).
  • MMD patients experience diverse neurological deficits, including transient ischemic attacks and stroke.

Purpose of the Study:

  • To investigate structural T1 magnetic resonance imaging (MRI) for characterizing abnormal cortical development in MMD.
  • To analyze regional cortical thickness and its variability in MMD patients.
  • To assess the predictive capacity of cortical thickness abnormalities using machine learning.

Main Methods:

  • Analysis of regional cortical thickness and variability from 993 neurotypical control MRI scans and 269 MMD patient MRI scans.
  • Utilized structural T1 MRI for detailed brain imaging.
  • Employed machine learning algorithms to evaluate predictive capabilities of identified cortical abnormalities.

Main Results:

  • Demonstrated abnormal cortical thickness in the insula, caudate, postcentral, precuneus, and cingulate regions.
  • Identified novel cortical thickness abnormalities in the middle temporal visual area in MMD patients.
  • Reported, for the first time, abnormal cortical thickness variability in MMD.

Conclusions:

  • Structural T1 MRI can characterize abnormal cortical development in MMD.
  • Cortical thickness and variability analysis provides valuable insights into MMD pathophysiology.
  • Findings align with previous studies and offer new targets for MMD research and diagnosis.

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