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Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review.

ABSTRACT: White matter hyperintensities (WMH) are commonly seen in the brain of healthy elderly subjects and patients with several neurological and vascular disorders. A truly reliable and fully automated method for quantitative assessment of WMH on magnetic resonance imaging (MRI) has not yet been identified. In this paper, we review and compare the large number of automated approaches proposed for segmentation of WMH in the elderly and in patients with vascular risk factors. We conclude that, in order to avoid artifacts and exclude the several sources of bias that may influence the analysis, an optimal method should comprise a careful preprocessing of the images, be based on multimodal, complementary data, take into account spatial information about the lesions and correct for false positives. All these features should not exclude computational leanness and adaptability to available data.

SUBMITTER: Caligiuri ME

PROVIDER: S-EPMC4468799 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature

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Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review.

Caligiuri Maria Eugenia ME Perrotta Paolo P Augimeri Antonio A Rocca Federico F Quattrone Aldo A Cherubini Andrea A

Neuroinformatics 20150701 3

White matter hyperintensities (WMH) are commonly seen in the brain of healthy elderly subjects and patients with several neurological and vascular disorders. A truly reliable and fully automated method for quantitative assessment of WMH on magnetic resonance imaging (MRI) has not yet been identified. In this paper, we review and compare the large number of automated approaches proposed for segmentation of WMH in the elderly and in patients with vascular risk factors. We conclude that, in order t ...[more]

PMID: 25649877

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Project description:ImportanceProgressive parkinsonism is common in older adults without a diagnosis of Parkinson disease and is associated with adverse health outcomes, but its pathologic basis is controversial.ObjectiveTo examine if the burden of cerebral white matter hyperintensity (WMH), a common manifestation of cerebrovascular disease pathologies, is associated with the rate of progressive parkinsonism.Design, setting, and participantsThis community-based cohort study included participants recruited in 3 ongoing cohorts that began enrollment in 1994, 1997, and 2004. Prior to death, participants were observed for a mean of 7.5 years, with annual clinical assessments. From 4427 participants enrolled in the 3 cohorts, 2134 died. Postmortem autopsy was performed in 1725 decedents, and 598 also had ex vivo brain magnetic resonance imaging. Participants were excluded if they were missing any of the 9 postmortem pathology indices (n = 22) or repeated parkinsonism assessment (n = 41) or had received a clinical diagnosis of Parkinson disease at any point before or during the study (n = 19). Data were analyzed from April 2020 to August 2021.ExposuresWMH burden was assessed using a modified Fazekas rating scale.Main outcomes and measuresParkinsonism was assessed annually using 26 items of a modified motor portion of the Unified Parkinson's Disease Rating Scale. A summary score was developed from the item scores, with higher scores indicating more severe parkinsonism.ResultsOf 516 included decedents, 364 (70.5%) were female, and the mean (SD) age at death was 90.2 (6.4) years. Higher WMH was associated with faster progressive parkinsonism (estimate, 0.024; SE, 0.008; P = .002). The attenuation of this association was greater when controlling for indices of cerebrovascular disease pathologies than when controlling for neurodegenerative pathologies (cerebrovascular disease: estimate, 0.019; SE, 0.008; P = .02; neurodegenerative: estimate, 0.022; SE, 0.008; P = .003), but both remained significant.Conclusions and relevanceIn this cohort study, higher levels of both WMH and indices of cerebrovascular disease pathologies in aging brains were associated with more rapid progressive parkinsonism. Further studies are needed to determine if in vivo brain imaging of older adults for evidence of WMH and aggressive medical treatment of vascular risk factors and diseases can reduce the occurrence or severity of late-life parkinsonism.

Project description:Background and Purpose- White matter hyperintensities (WMH) on brain magnetic resonance imaging are typical signs of cerebral small vessel disease and may indicate various preclinical, age-related neurological disorders, such as stroke. Though WMH are highly heritable, known common variants explain a small proportion of the WMH variance. The contribution of low-frequency/rare coding variants to WMH burden has not been explored. Methods- In the discovery sample we recruited 20 719 stroke/dementia-free adults from 13 population-based cohort studies within the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, among which 17 790 were of European ancestry and 2929 of African ancestry. We genotyped these participants at ≈250 000 mostly exonic variants with Illumina HumanExome BeadChip arrays. We performed ethnicity-specific linear regression on rank-normalized WMH in each study separately, which were then combined in meta-analyses to test for association with single variants and genes aggregating the effects of putatively functional low-frequency/rare variants. We then sought replication of the top findings in 1192 adults (European ancestry) with whole exome/genome sequencing data from 2 independent studies. Results- At 17q25, we confirmed the association of multiple common variants in TRIM65, FBF1, and ACOX1 ( P<6×10-7). We also identified a novel association with 2 low-frequency nonsynonymous variants in MRPL38 (lead, rs34136221; PEA=4.5×10-8) partially independent of known common signal ( PEA(conditional)=1.4×10-3). We further identified a locus at 2q33 containing common variants in NBEAL1, CARF, and WDR12 (lead, rs2351524; Pall=1.9×10-10). Although our novel findings were not replicated because of limited power and possible differences in study design, meta-analysis of the discovery and replication samples yielded stronger association for the 2 low-frequency MRPL38 variants ( Prs34136221=2.8×10-8). Conclusions- Both common and low-frequency/rare functional variants influence WMH. Larger replication and experimental follow-up are essential to confirm our findings and uncover the biological causal mechanisms of age-related WMH.

Project description:White matter hyperintensities (WMHs) have a heterogeneous aetiology, associated with both vascular risk factors and amyloidosis due to Alzheimer's disease. While spatial distribution of both amyloid and WM lesions carry important information for the underlying pathogenic mechanisms, the regional relationship between these two pathologies and their joint contribution to early cognitive deterioration remains largely unexplored. We included 662 non-demented participants from three Amyloid Imaging to Prevent Alzheimer's disease (AMYPAD)-affiliated cohorts: EPAD-LCS (N = 176), ALFA+ (N = 310), and EMIF-AD PreclinAD Twin60++ (N = 176). Using PET imaging, cortical amyloid burden was assessed regionally within early accumulating regions (medial orbitofrontal, precuneus, and cuneus) and globally, using the Centiloid method. Regional WMH volume was computed using Bayesian Model Selection. Global associations between WMH, amyloid, and cardiovascular risk scores (Framingham and CAIDE) were assessed using linear models. Partial least square (PLS) regression was used to identify regional associations. Models were adjusted for age, sex, and APOE-e4 status. Individual PLS scores were then related to cognitive performance in 4 domains (attention, memory, executive functioning, and language). While no significant global association was found, the PLS model yielded two components of interest. In the first PLS component, a fronto-parietal WMH pattern was associated with medial orbitofrontal-precuneal amyloid, vascular risk, and age. Component 2 showed a posterior WMH pattern associated with precuneus-cuneus amyloid, less related to age or vascular risk. Component 1 was associated with lower performance in all cognitive domains, while component 2 only with worse memory. In a large pre-dementia population, we observed two distinct patterns of regional associations between WMH and amyloid burden, and demonstrated their joint influence on cognitive processes. These two components could reflect the existence of vascular-dependent and -independent manifestations of WMH-amyloid regional association that might be related to distinct primary pathophysiology.

Dataset Information

Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review.

Publications

Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review.

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