Cerebrovascular and genetic disorders

White Matter Microstructure Fingerprint of Cerebral Small Vessel Disease

The paper analyzes white matter microstructure in cerebral small vessel disease using multimodal imaging metrics and identifies associations with cardiovascular risk factors.

Multiomic profiling reveals pericyte and smooth muscle cell contributions to CADASIL pathology in cell-specific Notch3 mutant mice

This study uses mouse models to show that Notch3 mutations in pericytes and smooth muscle cells cause distinct vascular and neuroinflammatory changes in CADASIL.

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

This paper predicts one-year WMH evolution post-stroke using MRI and stroke lesion data with a probabilistic deep learning model, achieving improved accuracy through joint segmentation and a new loss function.

Genome-wide association study of enlarged perivascular spaces: results from two large population-based cohorts

This study identifies 54 genome-wide significant loci for enlarged perivascular spaces using GWAS across two cohorts, highlighting vascular and inflammatory pathways.

Epigenetic age acceleration predicts subject-specific white matter degeneration in the human brain.

This study links accelerated epigenetic age (GrimAge) to white matter degeneration in the human brain using diffusion MRI and longitudinal data.

Assessment of white matter hyperintensity severity using multimodal MRI in Alzheimer's Disease

This study assesses white matter hyperintensity severity using multimodal MRI in Alzheimer's Disease by analyzing signal measures from different MRI contrasts and their associations with clinical variables.

NOTCH3 active immunotherapy reduces NOTCH3 deposition in brain capillaries in a CADASIL mouse model

This study shows active immunotherapy reduces NOTCH3 deposition in brain capillaries of CADASIL mice, with no adverse effects on behavior or vascular cells.

Frequency and phenotype associations of rare variants in five monogenic cerebral small vessel disease genes in 200,000 UK Biobank participants with whole exome sequencing data

The paper examines rare variants in monogenic cerebral small vessel disease genes in UK Biobank participants, finding limited phenotype associations and suggesting issues with previous gene-phenotype links.

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.

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.

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.

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.