Alison M. Rigby

The paper simulates field potentials to disentangle neural mechanisms of human temporal attention, identifying signatures of attentional bias and anticipatory activity that predict perceptual accuracy.

This study examines how BMI relates to brain microstructure across adolescence, finding nonlinear associations that intensify at higher BMI percentiles.

The paper examines longitudinal changes in aperiodic EEG activity and links them to age-related declines in sustained attention but not executive function.

FEMA-Long enables efficient modeling of time-dependent effects in longitudinal data, discovering genetic variants with time-dependent effects on infant growth traits.

The paper uses an extended mixed-effects model to analyze age-related changes in brain structure across a large adolescent cohort, finding distinct developmental patterns in cortical and subcortical regions.