Gareth Robert Barnes

The paper investigates transient beta bursts in motor cortex and finds they predict movement onset and delay after errors, suggesting roles in goal specification and error monitoring.

This paper demonstrates that optically-pumped magnetometers improve cerebellar MEG signal detection by reducing sensor distance and increasing SNR, revealing evoked and induced responses to sensory stimuli.

This study investigates neural dynamics during novel scene imagery and finds similar hippocampus-vmPFC interactions as seen in episodic memory retrieval.

This study investigates how the brain plans motor sequences by analyzing MEG data, finding that competitive queuing of sequential representations predicts performance accuracy.

The paper evaluates MEG source reconstruction methods using resting state data, finding that the Empirical Bayesian Beamformer provides the best anatomical discrimination.

This paper compares MEG source inversion algorithms and fit metrics to determine the laminar origin of neural activity, finding that sparsity-constrained methods and specific fit metrics improve discrimination accuracy.

The paper uses MEG to show laminar-specific frequency activity in human visual and sensorimotor cortices, with distinct roles for alpha/beta and gamma bands.