Brent Caleb McPherson

Nipoppy standardizes neuroimaging data workflows to enable reproducible and comparable multi-center data sharing.

The paper investigates how sample size and cohort composition affect the replicability of brain-behaviour associations using Canonical Correlation Analysis on UK Biobank data.

This paper reviews neuroimaging meta-analyses, finding that most follow PRISMA guidelines but have issues with pre-registration, search strategies, and study numbers.

This study replicates findings from Hanganu et al. (2014) on Parkinson's disease neuroimaging biomarkers using PPMI data, finding partial replication of cortical thinning and cognitive decline associations.

The paper identifies a single-axis association linking brain structure and behavior across the lifespan, showing strong predictive power for age.

The paper uses deep learning to analyze cerebellar morphology across species, finding sex and cannabinoid signaling influence folding patterns.

The paper compares white matter microstructure changes in glaucoma and monocular blindness, finding distinct patterns outside the visual system.

The paper shares a dataset of diffusion MRI data and derivatives from collegiate athletes and non-athletes to study the effects of long-term athletic exposure on brain structure.