Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults
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...
Main Authors: | , , , , , , , , , , , , , |
---|---|
Format: | Journal article |
Published: |
Elsevier
2017
|
_version_ | 1826279222773022720 |
---|---|
author | Griffanti, L Jenkinson, M Suri, S Zsoldos, E Mahmood, A Filippini, N Sexton, C Topiwala, A Allan, C Kimimäki, M Singh-Manoux, A Ebmeier, K Mackay, C Zamboni, G |
author_facet | Griffanti, L Jenkinson, M Suri, S Zsoldos, E Mahmood, A Filippini, N Sexton, C Topiwala, A Allan, C Kimimäki, M Singh-Manoux, A Ebmeier, K Mackay, C Zamboni, G |
author_sort | Griffanti, L |
collection | OXFORD |
description | 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 ambiguous. 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, analyzing 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. |
first_indexed | 2024-03-06T23:55:32Z |
format | Journal article |
id | oxford-uuid:741569d7-1bc9-4385-90cd-a70f8fc475a5 |
institution | University of Oxford |
last_indexed | 2024-03-06T23:55:32Z |
publishDate | 2017 |
publisher | Elsevier |
record_format | dspace |
spelling | oxford-uuid:741569d7-1bc9-4385-90cd-a70f8fc475a52022-03-26T20:00:32ZClassification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adultsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:741569d7-1bc9-4385-90cd-a70f8fc475a5Symplectic Elements at OxfordElsevier2017Griffanti, LJenkinson, MSuri, SZsoldos, EMahmood, AFilippini, NSexton, CTopiwala, AAllan, CKimimäki, MSingh-Manoux, AEbmeier, KMackay, CZamboni, GWhite 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 ambiguous. 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, analyzing 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. |
spellingShingle | Griffanti, L Jenkinson, M Suri, S Zsoldos, E Mahmood, A Filippini, N Sexton, C Topiwala, A Allan, C Kimimäki, M Singh-Manoux, A Ebmeier, K Mackay, C Zamboni, G Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults |
title | Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults |
title_full | Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults |
title_fullStr | Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults |
title_full_unstemmed | Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults |
title_short | Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults |
title_sort | classification and characterization of periventricular and deep white matter hyperintensities on mri a study in older adults |
work_keys_str_mv | AT griffantil classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT jenkinsonm classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT suris classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT zsoldose classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT mahmooda classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT filippinin classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT sextonc classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT topiwalaa classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT allanc classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT kimimakim classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT singhmanouxa classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT ebmeierk classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT mackayc classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults AT zambonig classificationandcharacterizationofperiventricularanddeepwhitematterhyperintensitiesonmriastudyinolderadults |