Cerebrovascular and genetic disorders

Superficial white matter microstructure affects processing speed in cerebral small vessel disease

This study investigates the role of superficial white matter microstructure in processing speed in cerebral small vessel disease, finding that free-water measures in SWM strongly correlate with cognitive decline.

White Matter Hyperintensity Distribution Differences in Aging and Neurodegenerative Disease Cohorts

The paper compares white matter hyperintensity (WMH) volumes across neurodegenerative disease groups and sexes, finding greater WMH burden in cognitively impaired groups and vascular disease subgroups.

An intrinsic endothelial dysfunction causes cerebral small vessel disease

This study identifies intrinsic endothelial dysfunction as a cause of cerebral small vessel disease in a normotensive rat model, independent of hypertension.

Relationship between Regional White Matter Hyperintensities and Alpha Oscillations in Older Adults

The paper investigates the relationship between white matter hyperintensities and alpha oscillations in older adults, finding that WMHs are associated with elevated alpha power but not with peak frequency or long-range temporal correlations.

Whole-exome sequencing in 16,511 individuals reveals a role of the HTRA1 protease and its substrate EGFL8 in brain white matter hyperintensities

The paper identifies rare variants in HTRA1 and its substrate EGFL8 associated with increased white matter hyperintensities using whole-exome sequencing data from 16,511 UK Biobank individuals.

Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets

This paper harmonises white matter hyperintensity measurements across two neuroimaging datasets by standardising preprocessing and modelling demographic and physiological differences.

Automatic Spatial Estimation of White Matter Hyperintensities Evolution in Brain MRI using Disease Evolution Predictor Deep Neural Networks

This paper introduces DEP models to predict white matter hyperintensity evolution in brain MRI, showing that semi-supervised models with Gaussian noise inputs perform best.

Spatial distribution and cognitive impact of cerebrovascular risk-related white matter hyperintensities

This study investigates the spatial distribution of white matter hyperintensities (WMHs) related to cerebrovascular risk factors and their impact on cognitive function in a large cohort.

Automated quantification of small vessel disease brain changes on MRI predicts cognitive and functional decline

The paper uses automated MRI segmentation to quantify SVD brain changes and shows they predict cognitive and functional decline.

Common genetic variation indicates separate etiologies for periventricular and deep white matter hyperintensities

This study identifies genetic loci specific to periventricular and deep white matter hyperintensities, revealing distinct genetic architectures and potential biological mechanisms.

Spatial signature of white matter hyperintensities in stroke patients

The paper investigates spatial variation in white matter hyperintensity burden across vascular territories in stroke patients and identifies risk factors associated with specific territories.

Intracranial functional haemodynamic relationships in patients with cerebral small vessel disease

This study examines how cerebral blood flow and vascular pulsatility relate to cerebral small vessel disease features in patients with minor ischaemic stroke.

White matter regions with low microstructure in young adults are associated with white matter hyperintensities in late life

The paper investigates how low white matter microstructure in young adults correlates with white matter hyperintensities in older adults, finding that normatively low fractional anisotropy regions are more prone to damage.

Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map

This paper introduces DEP-GAN, a GAN model that predicts WMH evolution in small vessel disease using irregularity maps and two discriminators, achieving 72.01% accuracy in predicting WMH evolution.

Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference

This paper develops a Bayesian spline method to model the spatio-temporal distribution of white matter hyperintensities with respect to age and validates it on simulated and real datasets.

Risk factor profile of different clinical manifestations of cerebral small vessel disease - data from SHEF-CSVD Study

Risk of vascular events or death in different manifestations of cerebral small vessel disease: a 2-year follow-up study with a control group

This study follows patients with different manifestations of cerebral small vessel disease for 2 years and finds they have a fourfold increased risk of vascular events or death compared to controls.