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Association of imaging-defined brain age with disease severity and adverse outcomes in CADASIL
Shao-Lun Hsu1,2, Pei-Lin Lee3, Kun-Hsien Chou3,4
1Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Insights
Accelerated brain aging is evident in Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL). The brain age gap (BAG) reflects disease severity and cumulative microvascular injury, impacting cognitive performance.
Area of Science:
- Neurology
- Neuroimaging
- Genetics
Background:
- Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) is a genetic disorder caused by NOTCH3 variants.
- CADASIL leads to progressive neurological deficits, including cognitive impairment and stroke.
Purpose of the Study:
- To investigate whether brain age is altered in CADASIL patients.
- To determine the association between brain age gap (BAG) and disease severity, neuroimaging markers, and clinical outcomes in CADASIL.
Main Methods:
- A brain-age prediction model was developed using MRI data from healthy individuals.
- The model was applied to individuals with NOTCH3 variants (CADASIL) and controls to calculate BAG.
- Associations between BAG, imaging markers (e.g., skeletonized mean diffusivity), and clinical performance were analyzed.
Main Results:
- Individuals with CADASIL showed a significantly higher BAG compared to controls.
- Higher BAG correlated with increased disease severity and specific neuroimaging markers.
- BAG was associated with poorer cognitive performance and partially mediated the link between disease stage and cognition.
Conclusions:
- Accelerated brain aging, indicated by BAG, is a feature of CADASIL.
- BAG serves as a marker for cumulative microvascular injury burden in CADASIL.
- BAG may play a role in the pathophysiology linking disease progression to cognitive decline.
Introduction:
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is caused by cysteine-altering NOTCH3 variants. We examined whether neuroimaging-defined brain age is altered in CADASIL and its association with disease severity and outcomes.
Methods:
A brain-age prediction model was constructed using magnetic resonance imaging from 1482 healthy individuals and applied to 153 individuals with NOTCH3 variants and 30 controls. Brain age gap (BAG) was calculated as predicted minus chronological age. Associations between BAG, imaging markers, and clinical outcomes were analyzed.
Results:
Individuals with NOTCH3 variants exhibited significantly higher BAG than controls. Higher BAG was associated with greater disease severity, neuroimaging markers - most prominently peak width of skeletonized mean diffusivity - and poorer clinical performance. In addition, BAG showed a partial mediation effect in the association between disease stage and cognitive performance.
Discussion:
Accelerated brain aging is evident in CADASIL, and the BAG reflects the cumulative microvascular injury burden and may be involved in the pathophysiological pathway linking disease progression to cognitive impairment.
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