Keywords: White Matter, Relaxometry
Hypertension is a major risk factor for a myriad of neurodegenerative diseases. However, the effect of hypertension on cerebral microstructure, especially myelination, remains poorly understood. We employed multicomponent MR relaxometry and DTI to investigate the association between hypertension and cerebral microstructural integrity, with a focus on myelin content, in a cohort of cognitively unimpaired adults. Our results indicate that adults with hypertension exhibit significantly lower cerebral microstructural integrity and axonal myelination as compared to controls across, several white matter structures.
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Figure 1. Examples of MWF, R1 and R2 parameter maps averaged across participants who are either hypertensive or non-hypertensive (control) drawn from a limited age range (70-94 yrs.) to mitigate the effect of age. Results are shown for a representative slice. Visual inspection indicates that overall, hypertensive patients exhibit lower regional MWF, R1 and R2 values, as compared to controls.
Figure 2. Examples of FA, AxD, MD, and RD parameter maps averaged across participants who are either hypertensive or non-hypertensive (control) drawn from a limited age range (70-94 yrs.) to mitigate the effect of age. Results are shown for a representative slice. Visual inspection indicates that, overall, hypertensive participants exhibit higher AxD, MD and RD values or lower values of FA as compared to controls.
Table 1. Regression coefficients, β, (standard errors, SE), and significance, p-values, of our relaxometry metrics (R1, R2 and MWF) vs. hypertension across the 14 WM ROIs investigated. The multiple regression model is given by: MRI ~ β0 + βHypertension × Hypertension + βage × age + βSmoking × Smoking + βsex × sex + βDiabetes × Diabetes+ βCholesterol × Cholesterol, where MRI corresponds to R1, R2 or MWF. Bolded p-values indicate significance (p < 0.05) or close-to-significance (p < 0.1).
Table 2. Regression coefficients, β, (standard errors, SE), and significance, p-values, of our DTI metrics (FA, AxD, MD and RD) vs. hypertension across the 14 WM ROIs studied. The multiple regression model is given by: MRI ~ β0 + βHypertension × Hypertension + βage × age + βSmoking × Smoking + βsex × sex + βDiabetes × Diabetes+ βCholesterol × Cholesterol, where MRI corresponds to FA, AxD, MD and RD. Bolded p-values indicate significance (p < 0.05) or close-to-significance (p < 0.1).