Background: Previous research has indicated that corpus callosum atrophy is associated with global cognitive decline in neurodegenerative diseases, but few studies have investigated specific cognitive functions. Objective: To investigate the role of regional corpus callosum atrophy in mental speed, attention and executive functions in subjects with age-related white matter hyperintensities (WMH). Methods: In the Leukoaraiosis and Disability Study, 567 subjects with age-related WMH were examined with a detailed neuropsychological assessment and quantitative magnetic resonance imaging. The relationships of the total corpus callosum area and its subregions with cognitive performance were analysed using multiple linear regression, controlling for volume of WMH and other confounding factors. Results: Atrophy of the total corpus callosum area was associated with poor performance in tests assessing speed of mental processing-namely, trail making A and Stroop test parts I and II. Anterior, but not posterior, corpus callosum atrophy was associated with deficits of attention and executive functions as reflected by the symbol digit modalities and digit cancellation tests, as well as by the subtraction scores in the trail making and Stroop tests. Furthermore, semantic verbal fluency was related to the total corpus callosum area and the isthmus subregion. Conclusions: Corpus callosum atrophy seems to contribute to cognitive decline independently of age, education, coexisting WMH and stroke. Anterior corpus callosum atrophy is related to the frontal-lobemediated executive functions and attention, whereas overall corpus callosum atrophy is associated with the slowing of processing speed.
Background: Investigating associations between the change of white matter hyperintensities (WMH) and clinical symptoms over time is crucial for establishing a causal relationship. However, the most suitable method for measuring WMH progression has not been established yet. We compared the reliability and sensitivity of cross-sectional and longitudinal visual scales with volumetry for measuring WMH progression. Methods: Twenty MRI scan pairs (interval 2 years) were included from the Amsterdam center of the LADIS study. Semi-automated volumetry of WMH was performed twice by one rater. Three cross-sectional scales (Fazekas Scale, Age-Related White Matter Changes Scale, Scheltens Scale) and two progression scales (Rotterdam Progression Scale, Schmidt Progression Scale) were scored by 4 and repeated by 2 raters. Results: Mean WMH volume (24.6 ± 27.9 ml at baseline) increased by 4.6 ± 5.1 ml [median volume change (range) = 2.7 (–0.6 to 15.7) ml]. Measuring volumetric change in WMH was reliable (intraobserver:intraclass coefficient = 0.88). All visual scales showed significant change of WMH over time, although the sensitivity was highest for both of the progression scales. Proportional volumetric change of WMH correlated best with the Rotterdam Progression Scale (Spearman’s r = 0.80, p < 0.001) and the Schmidt Progression Scale (Spearman’s r = 0.64, p < 0.01). Although all scales were reliable for assessment of WMH cross-sectionally, WMH progression assessment using visual scales was less reliable, except for the Rotterdam Progression scale which had moderate to good reliability [weighted Cohen’s ĸ = 0.63 (intraobserver), 0.59 (interobserver)]. Conclusion: To determine change in WMH, dedicated progression scales are more sensitive and/or reliable and correlate better with volumetric volume change than cross-sectional scales.
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