Robert G. Lyday

The paper assesses spatial entropy in brain network landscapes of older adults and finds higher entropy in specific regions correlates with worse physical function and higher BMI.

This paper introduces a method to quantify spatial entropy in brain network community structure and shows it decreases in specific brain regions during cognitive tasks.

This study investigates the feasibility of identifying participant identity and task-related neural patterns from single-frame functional brain connectivity data.

This study uses dynamic functional connectivity to compare brain state dynamics during mindfulness and control conditions after stress in moderate to heavy drinkers, finding differences in salience and default mode network activity.

This study examines how peripheral and neuronal insulin resistance relate to executive function and brain network topology in older adults with obesity, finding that peripheral IR negatively affects executive function and hippocampal network topology.

This study uses brain network dynamics to predict future alcohol consumption in adolescents, finding sex-specific associations between network states and drinking behavior.

The paper examines how resting-state brain networks modify the relationship between amyloid beta and cognitive/physical function in older adults, suggesting brain networks as a buffer against amyloid's negative effects.

The paper compares synchronous and asynchronous functional brain networks using fMRI data, finding differences in global and local efficiency and age-related interactions.

The paper identifies increased connectivity between sensorimotor cortex and anterior cingulate cortex as a marker of physical resilience in older adults with high white matter hyperintensity volumes.

The paper introduces a regression framework to relate brain network distances to phenotypic traits and controls for confounding variables using simulation and HCP data.