Simon Duchesne

The paper provides resting-state functional MRI derivatives from the COMPASS-ND study to aid in neurodegenerative disease research.

This paper evaluates automated methods for hippocampal segmentation and HVR calculation, finding that a CNN-based method outperforms others in accuracy and reliability.

This paper reviews mathematical models of Alzheimer's disease progression, finding most models are limited in validity and reporting quality.

This paper develops an automated microbleed segmentation tool using transfer learning on MRI data, achieving high sensitivity and specificity.

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.

The paper shows that white matter hyperintensities (WMHs) cause systematic errors in grey matter (GM) volume estimates, affecting clinical associations like age and Alzheimer's disease.

This study investigates how amyloid β affects future freezing of gait in Parkinson's Disease through white matter hyperintensities, independent of other factors.

NOMIS quantifies morphometric deviations from normality in adult human brains using MRI data, providing Z-scores adjusted for age, sex, and image quality across 6,909 individuals.

The paper evaluates six tissue classification pipelines for their reliability across multi-center and multi-scanner MRI data, finding BISON has the lowest variability and smallest sample size requirements.

This paper demonstrates that perfusion-based in situ fixation of ex vivo brains preserves structural integrity and antigenicity, enabling accurate MRI and histological analysis up to 10 months post-mortem.

The paper examines the temporal relationships between white matter hyperintensities, neurodegeneration, amyloid β, and cognition using longitudinal data from Alzheimer's Disease Neuroimaging Initiative participants.

The paper examines the relationship between grey and white matter pathology and cognitive/motor deficits in Parkinson's disease using MRI data and clinical scores.

This paper assesses the long-term consistency of resting-state fMRI connectivity maps across multiple sites and vendors over 2.5 years, finding good stability but significant site and vendor effects.

This study compares hippocampal volume and SNIPE score to predict dementia onset in cognitively normal individuals, finding SNIPE score has a larger effect size in distinguishing progressors.