Gareth Robert Barnes

Modular Arrays for High Precision Wearable MEG

This paper introduces a modular, cap-based design for wearable OPM-based MEG that improves accessibility and participant throughput while maintaining high signal quality and mobility.

Intracranial Validation of Magnetoencephalography Across Oscillatory Frequency and Depth

This study validates MEG's ability to measure neural activity across frequency and depth using intracranial EEG data from epileptic patients, showing strong agreement for lower frequencies and superficial sources, and sensitivity to deep structures like the hippocampus.

Magnetoencephalography Without a Shielded Room

This paper presents a lightweight, low-cost MEG system that enables brain imaging without a magnetically shielded room, achieving comparable signal-to-noise ratios to conventional systems.

Forward Modelling for Magnetospinography: Systematic Comparison of Boundary Element and Finite Element Methods

This study compares boundary element and finite element methods for forward modelling in magnetospinography, finding consistent results between methods but significant differences based on bone geometry representations.

An integrated virtual reality platform for naturalistic neuroimaging with magnetoencephalography

This paper presents a VR system integrated with wearable MEG to enable whole-brain recordings during naturalistic behaviors.

Distorting anatomy to test MEG models and metrics

The paper uses deformable cortical surfaces to evaluate MEG source reconstruction algorithms and fit metrics.

The Cerebellum Implements an Oscillatory Forward Model for Accurate Motor Timing

The paper investigates cerebellar oscillatory activity during motor tasks and finds that cerebellar rhythms adjust their influence based on cue predictability.

Volume conductor models for magnetospinography

This study compares volume conductor models to determine their impact on magnetic field predictions from spinal cord current flow.

Multilayer MEG source modelling enables depth-resolved laminar inference in humans

This paper introduces a multilayer MEG source modelling framework to enable depth-resolved laminar inference in humans, showing it aligns with known neural circuit motifs.

Wearable MEG data recorded during human stepping

The paper presents a multimodal dataset of wearable MEG and EMG recordings during human stepping, validated with beta band desynchronization in the primary motor cortex.

Essential Tremor Disrupts Rhythmic Brain Networks During Naturalistic Movement

This study identifies disruptions in rhythmic brain networks in essential tremor patients during naturalistic movement, linking altered network engagement to motor deficits and tremor severity.

Combining video telemetry and wearable MEG for naturalistic imaging

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

Non-invasive evidence for rhythmic interactions between the human brain, spinal cord, and muscle

The paper demonstrates non-invasive imaging of brain, spinal cord, and muscle interactions during movement using optically-pumped magnetometers.

Concurrent spinal and brain imaging with optically pumped magnetometers

This paper introduces a system for concurrent non-invasive imaging of brain and spinal cord electrophysiology using wearable optically pumped magnetometers.

Adaptive multipole models of OPM data.

This paper adapts multipole models for OPM data to improve interference rejection and signal stability across different sensor designs.

Is high-frequency activity evidence of an anterior temporal lobe network or micro-saccades?

The paper investigates high-frequency brain activity in the temporal lobes using MEG data, finding a bilateral network but uncertainty about its origin.

Neural activity in human eyeblink conditioning: an optically pumped magnetometer-based MEG study

This study uses OP-MEG to detect cerebellar activity during human eyeblink conditioning, finding evoked responses that diminish with learning and occur before conditioned blinks.

Spherical harmonic based noise rejection and neuronal sampling with multi-axis OPMs

This paper evaluates noise rejection and spatial sampling in multi-axis OPMs using spherical harmonics and eigenspectra, finding triaxial configurations offer superior performance.

Using OPMs to measure neural activity in standing, mobile participants

This study demonstrates that OP-MEG can measure neural activity during significant head movements, including standing and large natural movements, with consistent auditory evoked fields.

Testing covariance models for MEG source reconstruction of hippocampal activity

The paper tests covariance models for MEG source reconstruction, finding that incorporating a correlated hippocampal source model improves model evidence.

Laminar dynamics of beta bursts in human motor cortex

This study identifies laminar dynamics of beta bursts in human motor cortex using high precision MEG and a neocortical circuit model, showing distinct excitatory inputs to deep and superficial layers.

Magnetic Field Mapping and Correction for Moving OP-MEG

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

Pragmatic spatial sampling for wearable MEG arrays

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.

Modelling optically pumped magnetometerinterference as a mean (magnetic) field

The paper models magnetic interference in optically pumped magnetometers as a mean field to improve statistical power and reduce sensor variability.

The effect of object type on building scene imagery - an MEG study

This study uses MEG to show that space-defining objects elicit distinct neural responses in vmPFC and STG during scene construction compared to space-ambiguous objects.

Mouth magnetoencephalography: A unique perspective on the human hippocampus

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.

Dynamic causal modeling of layered magnetoencephalographic event-related responses

This paper presents a dynamic causal model of a two-layered cortical microcircuit using magnetoencephalography to study non-invasive layered computations.

vmPFC drives hippocampal processing during autobiographical memory recall regardless of remoteness

This study investigates the interaction between the hippocampus and vmPFC during autobiographical memory recall, finding that vmPFC drives hippocampal activity regardless of memory remoteness.

The role of hippocampal-vmPFC neural dynamics in building mental representations

This study investigates how hippocampal and vmPFC neural dynamics contribute to the construction of mental representations, finding distinct theta power modulation during scene versus array imagery.

Estimates of cortical column orientation improveMEG source inversion

This study improves MEG source inversion by using white matter surface locations and correspondence-based orientation estimation, showing better performance in evoked response fitting.