Josh Neudorf

This study examines how physical activity influences white matter brain adaptations linked to fluid intelligence in aging, using longitudinal MRI data from the Human Connectome Project.

This study shows that acute sleep restriction affects functional connectivity networks differently in young and old adults, with older adults showing weakened connections and younger adults showing strengthened ones, supporting the compensation theory of aging.

This study examines how structural and functional brain network architecture, age, and attention skills develop in early childhood using graph theory and longitudinal neuroimaging data.

This study examines how structural and functional brain network dynamics relate to visual working memory across the lifespan, finding age-related changes in network states and transitions that support memory capacity.

The paper investigates how structural brain connectivity changes with age and cognitive ability, finding both detrimental and beneficial reorganizations in older adults.

The paper compares diffusion and shortest path routing models for information transfer in the brain's structural network and finds the diffusion model better explains functional connectivity.

This paper develops a graph neural network to predict functional connectivity and centrality from structural connectivity, achieving high variance explanation in both mean and individual-level measures.

The paper investigates how brain structural connectivity, measured by DTI-derived centrality, relates to functional complexity in fMRI signals, finding that degree centrality best predicts the Hurst exponent.