Matthew J. Brookes

This study explores neural fingerprinting using MEG data, showing that brain network dynamics captured by a canonical hidden Markov model can support individual identification across different MEG technologies.

This study investigates the development of visual phase-amplitude coupling (PAC) using MEG in children and adults, finding that PAC increases with age in adults but is absent in children.

This paper develops a stochastic neural mass model to simulate cortical beta bursts in Parkinson's disease, showing that reduced background drive and enhanced synaptic coupling can reproduce and counteract altered burst dynamics.

This study investigates beta burst dynamics during voluntary movements in Tourette Syndrome, finding increased beta burst duration and altered functional connectivity in TS individuals.

This study uses OPM-MEG to examine beta-band dynamics during a naturalistic motor task of playing a musical instrument, showing changes in beta amplitude before and after a violin lesson.

This paper establishes a method to non-invasively study alpha oscillations using simultaneous EEG and layer-fMRI, showing depth-dependent correlations between alpha power and BOLD signals.

This paper combines video telemetry with wearable MEG to analyze naturalistic movement and neural activity during dance.

This paper demonstrates that source-localized OPM-MEG data can be modeled with or without individual MRI scans, showing high similarity in key metrics.

The paper uses OPM-MEG to measure visual gamma oscillations in children and adults, showing age-related changes in excitatory-inhibitory balance in visual cortex.

This study uses OPM-MEG to analyze beta band oscillations across childhood, showing age-related changes in beta modulation and whole-brain connectivity.

This paper introduces a new OPM-MEG system with improved portability and dynamic range, showing comparable performance to existing systems in measuring brain activity.

This study evaluates the test-retest reliability of OPM-MEG for whole-brain functional connectivity, showing high group-level repeatability and individual robustness across theta, alpha, and beta frequency ranges.

This paper introduces wearable magnetoencephalography for hyperscanning, enabling naturalistic social interaction studies with high-fidelity data.

This study compares OPM-MEG systems in contrasting magnetic environments, showing comparable noise floors and brain activity detection despite significant differences in background field and interference.

This study shows that rhythmic median nerve stimulation at 20Hz can entrain brain oscillations in the contralateral somatosensory cortex, while 12Hz stimulation primarily reflects sensory evoked potentials.

This study investigates how visual flicker stimulation affects induced gamma-oscillations and their relationship with behavior during MEG recordings.

This paper models and corrects magnetic field variations in moving OP-MEG data to reduce movement artefacts.

This study demonstrates that a wearable OPM-MEG system can accurately characterize brain networks, showing high similarity to data from a cryogenic MEG system.

This paper investigates the optimal number and placement of sensors in wearable MEG systems, showing that few sensors at coarse sampling can achieve adequate spatial discrimination under high SNR.

This paper investigates the use of mouth-based sensors in magnetoencephalography (MEG) to study the human hippocampus, finding that mouth sensors show unique task-related activity and anti-correlation with temporal lobe sensors.

The paper constructs and evaluates a 49-channel whole-head OPM-MEG system, showing comparable performance to cryogenic MEG with a rigid helmet design.

The paper investigates how attention divides between modalities and spatial locations, revealing two distinct alpha sources with different functional roles in attention.

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.

The paper uses intraneural microstimulation combined with MEG to study cortical responses to touch afferents, finding consistent beta rhythm modulation in primary somatosensory cortex.

The paper identifies frequency-specific phase-coupling networks in resting-state magnetoencephalography data, revealing distinct brain states associated with sensory, motor, and higher-order cognitive networks.

The paper shows that even advanced MEG/EEG connectivity measures can produce false positive 'ghost' interactions due to signal mixing, and quantifies this effect through simulations.

This paper models theta-band connectivity between occipital and frontal lobes using MEG data from schizophrenia patients and healthy controls, finding differences in wave speed modulation by task condition.