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...

Full description

Bibliographic Details
Main Authors: 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
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