80 Chapter 4 Table S.4.9.1. Secondary analysis to test WMH volume-dependency of the associations with the WMH shape markers. Memory (n=2340) Executive function (n=2356) Processing speed (n=2443) Periventricular/confluent WMH Solidity -0.03 (-0.06—0.00) -0.00 (-0.03—0.03) -0.03 (-0.06—-0.01)** Convexity -0.05 (-0.08—-0.01)* -0.03 (-0.06—-0.01) -0.05 (-0.07—-0.02)** Concavity index -0.07 (-0.11—-0.03)*** -0.03 (-0.07—0.01) -0.07 (-0.10—-0.04)*** Fractal dimension -0.05 (-0.08—-0.01)* -0.02 (-0.06—-0.01) -0.05 (-0.08—-0.02)** Deep WMH Eccentricity -0.04 (-0.07—-0.01)* -0.02 (-0.05—-0.01) -0.02 (-0.05-0.00) Fractal dimension 0.03 (0.00—0.06) 0.02 (-0.01—0.05) -0.04 (0.00—0.05) Sensitivity analyses were performed to test the WMH volume-dependency of WMH shape markers. Linear regression models for the association between WMH shape and cognitive change were performed for each cognitive domain with follow-up domain score as dependent variable and WMH shape as independent variable, controlled for age, sex, education, time to follow-up, baseline domain score, and baseline WMH volume as percentage of intracranial volume. The sample size varies per domain due to missing data in the cognitive domain scores. Solidity and convexity were inverted to aid in the comparability of the direction of effect. *<0.05; **<0.01; ***<0.001. Table S.4.9.2. Sensitivity analyses for baseline WMH shape markers and decline in cognitive domain scores after 5.2 years. Memory (n=2340) Executive function (n=2356) Processing speed (n=2443) Periventricular/confluent WMH Solidity -0.04 (-0.07—-0.01) ** -0.01 (-0.04—0.02) -0.04 (-0.07—-0.02)*** Convexity -0.07 (-0.10—-0.04)*** -0.04 (-0.07—-0.01)** -0.06 (-0.08—-0.03)*** Concavity index -0.09 (-0.12—-0.06)*** -0.04 (-0.07—-0.01)** -0.08 (-0.10—-0.05)*** Fractal dimension -0.07 (-0.10—-0.04)*** -0.04 (-0.07—-0.01)** -0.06 (-0.09—-0.04)*** Deep WMH Eccentricity -0.01 (-0.04—0.02) -0.01 (-0.04—0.02) -0.01 (-0.04—0.01) Fractal dimension 0.01 (-0.02—0.04) 0.02 (-0.01—0.05) 0.02 (-0.01—0.04) Sensitivity analyses were performed to test the robustness of our results for a different method to analyse cognitive change. Linear regression models for the association between WMH shape and cognitive change were performed for each cognitive domain with follow-up domain score as dependent variable and WMH shape as independent variable, controlled for age, sex, education, time to follow-up, and baseline domain score. The sample size varies per domain due to missing data in the cognitive domain scores. Solidity and convexity were inverted to aid in the comparability of the direction of effect. In the executive function domain, however, there was a slight attenuation in the results and significance was lost for the association between periventricular/confluent WMH and change in executive function. *<0.05; **<0.01; ***<0.001.
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