Benjamin Thomas Dunkley

The paper introduces the Brain Stability Index (BSI) to quantify within-subject neural changes over time using MEG data and validates its robustness against measurement noise.

The paper uses MEG data and a PLS approach to link poor sleep quality and cognitive performance to electrophysiological signatures, independent of age effects.

This study uses MEG to identify frequency-specific functional connectivity differences in adult ADHD, finding hypo-connectivity in high-gamma bands and altered integration in key networks.

The paper assesses brain network energy during cognitive control tasks and finds it increases compared to rest, with selective allocation to functional networks.

This study examines the neurophysiological effects of elevated BMI in youth, finding dysregulated neural markers of excitation and inhibition, and reduced functional connectivity in brain networks.

This paper predicts brain age using resting-state MEG data, finding age-related changes in neural oscillations and functional connectivity, with prediction biases in younger and older age groups.

This study investigates the role of posterior parietal cortex in transsaccadic memory of spatial frequency using fMRI, finding distinct neural networks for different visual features.

The paper investigates neural correlates of transsaccadic orientation comparison across different spatial reference frames using fMRIa, finding distinct cortical activation patterns for each condition.

This study examines how concussion affects functional brain networks using MEG, finding increased connectivity in the default mode and motor networks associated with symptoms.