Will Woods

The paper uses MEG data to infer neural connectivity and dynamics during altered states of consciousness, finding correlations between consciousness levels and specific brain regions and dynamics.

The paper analyzes fMRI data to identify brain networks involved in radio speech listening and hallucination experiences in schizophrenia, finding speech-duration-dependent responses but not hallucination-duration-dependent ones.

The paper identifies double dissociations in prediction-error signals for face identity and head orientation violations in dorsal and ventral visual streams using MEG.

The paper investigates how excitation-inhibition ratios in the brain mediate the link between auditory processing deficits and psychosocial difficulties in autism and schizophrenia spectrum disorders.

This study investigates the effects of NMDA-antagonist anesthetics Xe and N2O on cortical power changes using MEG and EEG source imaging, finding distinct frequency-specific patterns.