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Published on: April 23, 2021
Microstructural white matter damage on MRI is associated with disease severity in Dutch-type cerebral amyloid
Ingeborg Rasing1, Naomi Vlegels2, Manon R Schipper3
1Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Abstract:
Peak width of skeletonized mean diffusivity (PSMD) is an emerging diffusion-MRI based marker to study subtle early alterations to white matter microstructure. We assessed PSMD over the clinical continuum in Dutch-type hereditary CAA (D-CAA) and its association with other CAA-related MRI-markers and cognitive symptoms. We included (pre)symptomatic D-CAA mutation-carriers and calculated PSMD from diffusion-MRI data. Associations between PSMD-levels, cognitive performance and CAA-related MRI-markers were assessed with linear regression models. We included 59 participants (25/34 presymptomatic/symptomatic; mean age 39/58 y). PSMD-levels increased with disease severity and were higher in symptomatic D-CAA mutation-carriers (median [range] 4.90 [2.77-9.50]mm2/s × 10-4) compared with presymptomatic mutation-carriers (2.62 [1.96-3.43]mm2/s × 10-4) p = <0.001. PSMD was positively correlated with age, CAA-SVD burden on MRI (adj.B [confidence interval] = 0.42 [0.16-0.67], p = 0.002), with number of cerebral microbleeds (adj.B = 0.30 [0.08-0.53], p = 0.009), and with both deep (adj.B = 0.46 [0.22-0.69], p = <0.001) and periventricular (adj.B = 0.38 [0.13-0.62], p = 0.004) white matter hyperintensities. Increasing PSMD was associated with decreasing Trail Making Test (TMT)-A performance (B = -0.42 [-0.69-0.14], p = 0.04. In D-CAA mutation-carriers microstructural white matter damage is associated with disease phase, CAA burden on MRI and cognitive impairment as reflected by a decrease in information processing speed. PSMD, as a global measure of alterations to the white matter microstructure, may be a useful tool to monitor disease progression in CAA.
Insights
Peak width of skeletonized mean diffusivity (PSMD) increases with disease severity in Dutch-type hereditary cerebral amyloid angiopathy (D-CAA). This diffusion-MRI marker correlates with MRI-detected CAA burden and cognitive decline, suggesting its utility in monitoring D-CAA progression.
Area of Science:
- Neuroimaging
- Neurology
- Biomarkers
Background:
- Cerebral amyloid angiopathy (CAA) involves amyloid-beta deposition in cerebral vasculature, leading to microstructural white matter damage.
- Early detection of white matter alterations is crucial for understanding CAA progression and developing interventions.
- Peak width of skeletonized mean diffusivity (PSMD) is an emerging diffusion-MRI marker for assessing white matter microstructure.
Purpose of the Study:
- To evaluate PSMD across the clinical spectrum of Dutch-type hereditary CAA (D-CAA).
- To investigate the association of PSMD with other CAA-related MRI markers and cognitive symptoms.
- To determine PSMD's potential as a tool for monitoring D-CAA progression.
Main Methods:
- Diffusion-MRI data were acquired from 59 D-CAA mutation carriers (presymptomatic and symptomatic).
- PSMD was calculated and analyzed in relation to disease severity, cognitive performance (Trail Making Test A), and MRI markers (white matter hyperintensities, microbleeds, SVD burden).
- Linear regression models were used to assess associations.
Main Results:
- PSMD levels were significantly higher in symptomatic D-CAA mutation carriers compared to presymptomatic carriers (p < 0.001).
- PSMD positively correlated with age, CAA-SVD burden (adj.B=0.42, p=0.002), cerebral microbleeds (adj.B=0.30, p=0.009), and white matter hyperintensities (deep: adj.B=0.46, p<0.001; periventricular: adj.B=0.38, p=0.004).
- Increased PSMD was associated with poorer performance on the TMT-A (B=-0.42, p=0.04), indicating impaired information processing speed.
Conclusions:
- Microstructural white matter damage in D-CAA is linked to disease phase, CAA burden on MRI, and cognitive impairment.
- PSMD serves as a global measure of white matter microstructural alterations.
- PSMD may be a valuable tool for monitoring disease progression in CAA.
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