Using advanced MRI modeling, this study found distinct spatial and pathophysiological signatures in vascular- and neurodegeneration-related white matter hyperintensities, clarifying their interpretati...

20/03/2026

Wezel, Parent et al. investigated white matter hyperintensity volumes across the menopausal transition in the UK Biobank using strict age-matching procedur

Numerous research groups worldwide have focused on postmortem imaging to bridge the resolution gap b

Introduction: Postmortem MRI provides insight into location of pathology within tissue blocks, enabl

In cognitively normal older adults at risk for Alzheimer’s dementia, physical inactivity was associated with faster tau protein buildup and cognitive decline.

Synucleinopathies, like Parkinson's disease (PD) are characterized by progressive accumulation and spread of misfolded alpha-synuclein (aSyn) throughout the brain. To improve understanding of disease ...

White matter hyperintensities (WMHs) are neuroimaging markers widely interpreted as caused by cerebral small vessel disease, yet emerging evidence suggests that a subset may have a neurodegenerative e...

In the CRHCP-3 cluster-randomized trial, blood pressure reduction lowered the risk of all-cause dementia by 15% in 33,995 individuals with hypertension.

Enables a diverse approach to sharing and communicating high quality, community-based, open neuroscience research.

Tools for using marginal structural models (MSMs) to answer causal questions in developmental science. - GitHub - istallworthy/devMSMs: Tools for using marginal structural models (MSMs) to answer ...

Faculty of Medicine and Health Sciences – Department of Pharmacology and Therapeutics, Toxicology (L000054

MRI acquisition and reconstruction research has transformed into a computation-driven field. As methods become more sophisticated, compute-heavy, and data-hungry, efforts to reproduce them become more...

This meta-analysis examines whether sex is associated with rate of tau accumulation in the setting of β-amyloid (as measured with positron emission tomography [PET]) and the moderating influence of se...

Metz et al. report that machine learning can effectively differentiate frontotemporal dementia subtypes, combining brain atrophy patterns and cognitive per

Objective Accurate personalized survival prediction in amyotrophic lateral sclerosis is essential for effective patient care planning. This study investigates whether grey and white matter changes m.....