Different Types of White Matter Hyperintensities in CADASIL
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Updated: Feb 7, 2026

A Versatile Murine Model of Subcortical White Matter Stroke for the Study of Axonal Degeneration and White Matter Neurobiology
Published on: March 17, 2016
Edouard Duchesnay1, Fouad Hadj Selem2, François De Guio3
1NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Insights
In CADASIL, white matter hyperintensities (WMH) are not uniform. Different regional WMH populations exist, impacting clinical outcomes differently, challenging the hypoperfusion theory.
Area of Science:
- Neurology
- Neuroimaging
- Genetics
Background:
- Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) is characterized by white matter hyperintensities (WMH).
- WMH in CADASIL are traditionally attributed to hypoperfusion.
- The heterogeneity of WMH distribution and clinical impact suggests diverse underlying mechanisms.
Purpose of the Study:
- To investigate the hypothesis that WMH burden in CADASIL results from a combination of regional WMH populations with distinct mechanisms.
- To identify and characterize these potential regional WMH populations.
- To correlate these populations with disease markers and clinical outcomes.
Main Methods:
- Utilized an unsupervised principal component algorithm to identify spatial variations in WMH.
- Assessed relationships between identified WMH patterns, MRI markers, and clinical severity (Mattis Dementia Rating scale, modified Rankin's score).
- Interpreted spatial patterns and clinical correlations to define distinct regional WMH populations.
Main Results:
- Identified three principal sources of variation in WMH patterns, showing significant associations with MRI markers and clinical scores.
- Models predicting clinical severity using these sources outperformed models based solely on WMH volume.
- Demonstrated that WMH in different brain regions (e.g., anterior temporal poles vs. pyramidal tracts) have differential associations with clinical outcomes, supporting distinct pathomechanisms.
Conclusions:
- The overall WMH burden in CADASIL is likely a composite of distinct regional WMH populations.
- These regional WMH populations exhibit varying associations with clinical severity and disability.
- Further research is needed to elucidate the specific mechanisms driving these regional WMH differences and their clinical consequences.
Abstract:
Objective: In CADASIL (Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy), white matter hyperintensities (WMH) are considered to result from hypoperfusion. We hypothesized that in fact the burden of WMH results from the combination of several regional populations of WMH with different mechanisms and clinical consequences. Methods: To identify regional WMH populations, we used a 4-step approach. First, we used an unsupervised principal component algorithm to determine, without a priori knowledge, the main sources of variation of the global spatial pattern of WMH. Thereafter, to determine whether these sources are likely to include relevant information regarding regional populations of WMH, we tested their relationships with: (1) MRI markers of the disease; (2) the clinical severity assessed by the Mattis Dementia Rating scale (MDRS) (cognitive outcome) and the modified Rankin's score (disability outcome). Finally, through careful interpretation of all the results, we tried to identify different regional populations of WMH. Results: The unsupervised principal component algorithm identified 3 main sources of variation of the global spatial pattern of WMH, which showed significant and sometime inverse relationships with MRI markers and clinical scores. The models predicting clinical severity based on these sources outperformed those evaluating WMH by their volume (MDRS, coefficient of determination of 39.0 vs. 35.3%, p = 0.01; modified Rankin's score, 43.7 vs. 38.1%, p = 0.001). By carefully interpreting the visual aspect of these sources as well as their relationships with MRI markers and clinical severity, we found strong arguments supporting the existence of different regional populations of WMH. For instance, in multivariate analyses, larger extents of WMH in anterior temporal poles and superior frontal gyri were associated with better outcomes, while larger extents of WMH in pyramidal tracts were associated with worse outcomes, which could not be explained if WMH in these different areas shared the same mechanisms. Conclusion: The results of the present study support the hypothesis that the whole extent of WMH results from a combination of different regional populations of WMH, some of which are associated, for yet undetermined reasons, with milder forms of the disease.
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