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Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images
Published on: November 20, 2015
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.
Abstract:
Moyamoya disease (MMD) is a progressive cerebrovascular disorder, with an unknown pathogenesis and aetiology. MMD is characterized by steno-occlusive changes at the terminal portion of the internal carotid artery (ICA), which is accompanied by variable development of the basal collaterals, also known as moyamoya vessels. Patients with MMD show variable patterns of brain damage and may experience recurrent multiple transient ischaemic attacks, intracranial bleeding and cerebral infarction. In this study, we investigate the potential for structural T1 magnetic resonance imaging (MRI) to help characterize abnormal cortical development in MMD clinically, with an analysis of both average and variability of regional cortical thicknesses. This study also included a machine learning analysis to assess the predictive capacity of the cortical thickness abnormalities observed in this research. This study included 993 MRI examinations from neurotypical controls and 269 MRI examinations from MMD patients. Results demonstrate abnormal cortical presentation of the insula, caudate, postcentral, precuneus and cingulate regions, in agreement with previous literature cortical thickness findings as well as alternative methods such as functional MRI (fMRI) and digital angiography. To the best of our knowledge, this is the first manuscript to report cortical thickness abnormalities in the middle temporal visual area in MMD and the first study to report on cortical thickness variability abnormalities in MMD.
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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