White matter hyperintensities (WMH) are frequently divided into periventricular (PWMH) and deep (DWMH), and the two classes have been associated with different cognitive, microstructural, and clinical correlates. However, although this distinction is widely used in visual ratings scales, how to best anatomically define the two classes is still disputed. In fact, the methods used to define PWMH and DWMH vary significantly between studies, making results difficult to compare. The purpose of this study was twofold: first, to compare four current criteria used to define PWMH and DWMH in a cohort of healthy older adults (mean age: 69.58 ± 5.33 years) by quantifying possible differences in terms of estimated volumes; second, to explore associations between the two WMH sub-classes with cognition, tissue microstructure and cardiovascular risk factors, analysing the impact of different criteria on the specific associations. Our results suggest that the classification criterion used for the definition of PWMH and DWMH should not be considered a major obstacle for the comparison of different studies. We observed that higher PWMH load is associated with reduced cognitive function, higher mean arterial pressure and age. Higher DWMH load is associated with higher body mass index. PWMH have lower fractional anisotropy than DWMH, which also have more heterogeneous microstructure. These findings support the hypothesis that PWMH and DWMH are different entities and that their distinction can provide useful information about healthy and pathological aging processes.

Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults / Griffanti, Ludovica; Jenkinson, Mark; Suri, Sana; X, X; Mahmood, Abda; Filippini, Nicola; Sexton, Claire E; Topiwala, Anya; Allan, Charlotte; Kivimäki, Mika; Singh Manoux, Archana; Ebmeier, Klaus P; Mackay, Clare E; Zamboni, Giovanna. - In: NEUROIMAGE. - ISSN 1053-8119. - 170:(2018), pp. 174-181. [10.1016/j.neuroimage.2017.03.024]

Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults

ZAMBONI, Giovanna
2018

Abstract

White matter hyperintensities (WMH) are frequently divided into periventricular (PWMH) and deep (DWMH), and the two classes have been associated with different cognitive, microstructural, and clinical correlates. However, although this distinction is widely used in visual ratings scales, how to best anatomically define the two classes is still disputed. In fact, the methods used to define PWMH and DWMH vary significantly between studies, making results difficult to compare. The purpose of this study was twofold: first, to compare four current criteria used to define PWMH and DWMH in a cohort of healthy older adults (mean age: 69.58 ± 5.33 years) by quantifying possible differences in terms of estimated volumes; second, to explore associations between the two WMH sub-classes with cognition, tissue microstructure and cardiovascular risk factors, analysing the impact of different criteria on the specific associations. Our results suggest that the classification criterion used for the definition of PWMH and DWMH should not be considered a major obstacle for the comparison of different studies. We observed that higher PWMH load is associated with reduced cognitive function, higher mean arterial pressure and age. Higher DWMH load is associated with higher body mass index. PWMH have lower fractional anisotropy than DWMH, which also have more heterogeneous microstructure. These findings support the hypothesis that PWMH and DWMH are different entities and that their distinction can provide useful information about healthy and pathological aging processes.
15-mar-2017
170
174
181
Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults / Griffanti, Ludovica; Jenkinson, Mark; Suri, Sana; X, X; Mahmood, Abda; Filippini, Nicola; Sexton, Claire E; Topiwala, Anya; Allan, Charlotte; Kivimäki, Mika; Singh Manoux, Archana; Ebmeier, Klaus P; Mackay, Clare E; Zamboni, Giovanna. - In: NEUROIMAGE. - ISSN 1053-8119. - 170:(2018), pp. 174-181. [10.1016/j.neuroimage.2017.03.024]
Griffanti, Ludovica; Jenkinson, Mark; Suri, Sana; X, X; Mahmood, Abda; Filippini, Nicola; Sexton, Claire E; Topiwala, Anya; Allan, Charlotte; Kivimäki, Mika; Singh Manoux, Archana; Ebmeier, Klaus P; Mackay, Clare E; Zamboni, Giovanna
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1129206
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