Contribution of white matter hyperintensities to ventricular enlargement in older adults

Jochems, Angela C. C.; Maniega, Susana Muñoz; Hernández, María del C. Valdés; Barclay, G. Robin; Anblagan, Devasuda; Ballerini, Lucia; Meijboom, Rozanna; Wiseman, Stewart; Taylor, Adele M.; Corley, Janie; Chappell, Francesca M; Backhouse, Ellen V.; Stringer, Michael; Dickie, David Alexander; Deary, Ian J.; Cox, Simon R.; Wardlaw, Joanna M.

doi:10.1016/j.nicl.2022.103019

Cited by 5 publications

(6 citation statements)

References 29 publications

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“…We found no associations with worsening ventricle grade, although a previous CHS study found a borderline association between greater neighborhood greenspace and lower ventricle grade score 21 . Development of WMH and ventricular expansion were only moderately associated in prior work, suggesting that mechanisms leading to their development do not completely overlap 51 . Causal mechanisms relating greenspace and neighborhood income to worsening white matter need elucidation but could relate to factors previously associated with neighborhood factors and WMH, including hypertension.…”

Section: Discussioncontrasting

confidence: 70%

“… 21 Development of WMH and ventricular expansion were only moderately associated in prior work, suggesting that mechanisms leading to their development do not completely overlap. 51 Causal mechanisms relating greenspace and neighborhood income to worsening white matter need elucidation but could relate to factors previously associated with neighborhood factors and WMH, including hypertension. If higher greenspace–higher income neighborhoods protect against future worsening of WMH, the benefit may eventually extend to reduce stroke and dementia risk, given prior associations between WMH and greater risk of these conditions.…”

Section: Discussionmentioning

confidence: 99%

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Neighborhood greenspace and neighborhood income associated with white matter grade worsening: Cardiovascular Health Study

Besser,

Lovasi,

Zambrano

et al. 2023

Alz & Dem Diag Ass & Dis Mo

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INTRODUCTIONWe examined whether a combined measure of neighborhood greenspace and neighborhood median income was associated with white matter hyperintensity (WMH) and ventricle size changes.METHODSThe sample included 1260 cognitively normal ≥ 65‐year‐olds with two magnetic resonance images (MRI; ≈ 5 years apart). WMH and ventricular size were graded from 0 (least) to 9 (most) abnormal (worsening = increase of ≥1 grade from initial to follow‐up MRI scans). The four‐category neighborhood greenspace–income measure was based on median neighborhood greenspace and income values at initial MRI. Multivariable logistic regression tested associations between neighborhood greenspace–income and MRI measures (worsening vs. not).RESULTSWhite matter grade worsening was more likely for those in lower greenspace–lower income neighborhoods than higher greenspace–higher income neighborhoods (odds ratio = 1.73; 95% confidence interval = 1.19–2.51).DISCUSSIONThe combination of lower neighborhood income and lower greenspace may be a risk factor for worsening white matter grade on MRI. However, findings need to be replicated in more diverse cohorts.HIGHLIGHTS Population‐based cohort of older adults (≥ 65 years) with greenspace and MRI data Combined measure of neighborhood greenspace and neighborhood income at initial MRI MRI outcomes included white matter hyperintensities (WMH) and ventricular size Longitudinal change in MRI outcomes measured approximately 5 years apart Worsening WMH over time more likely for lower greenspace‐lower income neighborhoods

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Section: Discussioncontrasting

confidence: 70%

Section: Discussionmentioning

confidence: 99%

Neighborhood greenspace and neighborhood income associated with white matter grade worsening: Cardiovascular Health Study

Besser,

Lovasi,

Zambrano

et al. 2023

Alz & Dem Diag Ass & Dis Mo

View full text Add to dashboard Cite

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“…In this study, as stroke lesions appear on the same T2-FLAIR MRI sequence as WMH, we performed joint segmentation of DEM for WMH and stroke lesions. However, previous clinical studies have shown that there are other non-image risk factors and brain features that have been commonly associated with the progression and evolution of WMH, like age 8 , ventricular enlargement 52,53 , and brain atrophy 54 . Thus, more (image and non-image) factors could be incorporated in future studies to further improve the quality of predicted DEM of WMH, although the best way to incorporate non-image factors to the prediction model remains to be found.…”

Section: Resultsmentioning

confidence: 99%

Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information

Rachmadi

Valdés-Hernández²,

Makin³

et al. 2022

Preprint

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Predicting the evolution of white matter hyperintensities (WMH) (i.e., whether WMH will grow, remain stable, or shrink with time) is important for personalised therapeutic interventions. However, this task is difficult mainly due to the myriad of vascular risk factors (VRF) and comorbidities that influence the evolution of WMH, and the low specificity and sensitivity of the intensities and textures alone for predicting WMH evolution. Given the predominantly vascular nature of WMH, in this study, we evaluate the impact of incorporating stroke information to a probabilistic deep learning model to predict the evolution of WMH 1-year after the baseline image acquisition using brain T2-FLAIR MRI. The Probabilistic U-Net was chosen for this study due to its capability of simulating and quantifying uncertainties involved in the prediction of WMH evolution. We propose to use an additional loss called volume loss to train our model, and incorporate an influential factor of WMH evolution, namely, stroke lesions information. Our experiments showed that jointly segmenting the disease evolution map (DEM) of WMH and stroke lesions, improved the accuracy of the DEM representing WMH evolution. The combination of introducing the volume loss and joint segmentation of DEM of WMH and stroke lesions outperformed other model configurations with mean volumetric absolute error of 0.0092 ml (down from 1.7739 ml) and 0.47% improvement on average in shrinking, growing and stable WMH using Dice similarity coefficient.

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“…Comparison of our FLAIR images from subjects F/M20/40 with F/M60/80 provides a realistic representation of this transition to a very different ventricle shape with time. Even though age may not be a unique marker for ventricular shape, it is typically assumed that ventricular enlargement is a manifestation of advanced biological age and the result of atrophy and neurodegeneration [ 18 , 53 , 55 ].…”

Section: Discussionmentioning

confidence: 99%

A multiphysics model to predict periventricular white matter hyperintensity growth during healthy brain aging

et al. 2023

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Contribution of white matter hyperintensities to ventricular enlargement in older adults

Cited by 5 publications

References 29 publications

Neighborhood greenspace and neighborhood income associated with white matter grade worsening: Cardiovascular Health Study

Neighborhood greenspace and neighborhood income associated with white matter grade worsening: Cardiovascular Health Study

Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information

A multiphysics model to predict periventricular white matter hyperintensity growth during healthy brain aging

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