Ryan M. Hill

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 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 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 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.