White Matter Hyperintensities in the Forties: Their prevalence and topography in an epidemiological sample aged 44-48

dc.contributor.authorWen, Wei
dc.contributor.authorSachdev, Perminder Singh
dc.contributor.authorLi, Jason
dc.contributor.authorChen, Xiaohua
dc.contributor.authorAnstey, Kaarin
dc.date.accessioned2015-12-08T22:41:50Z
dc.date.available2015-12-08T22:41:50Z
dc.date.issued2009
dc.date.updated2016-02-24T10:37:20Z
dc.description.abstractWhite matter hyperintensities (WMHs) are a frequent finding on T2-weighted MRI of the brain in elderly individuals, but their prevalence and severity in younger asymptomatic populations is less well studied. We report the topography of WMHs on T2-weighted fluid inversion recovery (FLAIR) MRI in 428 individuals aged 44-48 years recruited randomly from a healthy community sample. WMHs were delineated from FLAIR and T1-weighted scans by using a computer algorithm, further verified and then classified using k-nearest neighbor (kNN) algorithm into deep WMH (DWMH), and periventricular WMH (PVWMH), which included extended periventricular "rims" and frontal and occipital "caps". Small caps and pencil-thin rims were not taken as WMHs for this analysis. The new computer algorithm was validated and compared with the scores of visual rating, and the correspondence between the two methods was high. We found that 218 (50.9%) subjects had WMHs. 146 of the 218 (34.1% of whole sample population of 428) subjects had deep white matter hyperintensities (DWMHs). The average number of WMH clusters (occurrences) per brain was 1.37 (0.94 for DWMH and 0.43 for pathological PVWMH) and the mean WMH tissue volume was 0.278 ml. There was no significant sex difference in the severity and distribution of WMHs. The study suggests that small punctate or focal WMHs are common in the brains of individuals in their 40s, and may represent an early stage of development of these lesions.
dc.identifier.issn1097-0193
dc.identifier.urihttp://hdl.handle.net/1885/36822
dc.publisherJohn Wiley & Sons Inc
dc.sourceHuman Brain Mapping
dc.subjectKeywords: adult; age distribution; algorithm; article; automation; computer analysis; diffusion weighted imaging; disease severity; epidemiological data; female; human; human experiment; image processing; male; neuroimaging; normal human; nuclear magnetic resonance Automated detection; MRI; Prevalence; Topography; White matter hyperintensity
dc.titleWhite Matter Hyperintensities in the Forties: Their prevalence and topography in an epidemiological sample aged 44-48
dc.typeJournal article
local.bibliographicCitation.issue30
local.bibliographicCitation.lastpage1167
local.bibliographicCitation.startpage1155
local.contributor.affiliationWen, Wei, University of New South Wales (Prince of Wales Hospital)
local.contributor.affiliationSachdev, Perminder Singh, University of New South Wales (Prince of Wales Hospital)
local.contributor.affiliationLi, Jason, University of New South Wales
local.contributor.affiliationChen, Xiaohua, University of New South Wales (& Prince of Wales Hosp)
local.contributor.affiliationAnstey, Kaarin, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidAnstey, Kaarin, u4038535
local.description.notesImported from ARIES
local.identifier.absfor111714 - Mental Health
local.identifier.ariespublicationU4146231xPUB141
local.identifier.citationvolumeOn Line version claimed
local.identifier.doi10.1002/hbm.20586
local.identifier.scopusID2-s2.0-63849278563
local.identifier.thomsonID000264696300011
local.type.statusPublished Version

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