Derek Beaton

This study examines the relationship between white matter hyperintensities, cortical thickness, and empathy in neurodegenerative and cerebrovascular diseases, finding associations with specific brain regions and demographic factors.

This study improves FreeSurfer's cortical thickness estimation in patients with cerebral small vessel disease and stroke by applying correction procedures, leading to better segmentation and cognitive association results.

This paper describes the neuroimaging pipeline methods used in the ONDRI study to generate regional brain tissue volumes and neurovascular markers from structural MRI data.

The paper introduces PLS-CA-R, a method that generalizes partial least squares regression to handle categorical and mixed data, and applies it to ADNI data.

The paper shows that different analysis workflows by 70 teams on the same fMRI dataset led to varied results, but meta-analysis found consensus in activated regions.

This paper generalizes the MCD algorithm for categorical and mixed data using correspondence analysis, demonstrating its application on neuroimaging and genetics data.

The paper uses PLS-CA to identify specific genotypes associated with AD and control groups, revealing both known and novel genetic effects.

This paper constructs a semantic space of functional neuroimaging literature to identify primary domains and their associated brain regions, revealing trends and terminology variations across domains.