Margot J. Taylor

OPM-MEG reveals protracted maturation of visual phase-amplitude coupling from early childhood to adulthood

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.

Charting developmental trajectories of dynamic brain networks during emotional face processing

The paper uses DyNeMo to analyze MEG data from children and adults during emotional face processing, revealing distinct developmental trajectories in brain network activation and connectivity.

The Lifespan Evolution of Individualized Neurophysiological Traits

The study examines how neurophysiological traits evolve across the lifespan using MEG data from 1,000 individuals, finding age-related shifts in brain regions associated with individuality and genetic influences.

Using deep learning to predict internalizing problems from brain structure in youth

This study uses deep learning to predict internalizing problems from brain structure in youth, finding good performance in neurodevelopmental conditions but sub-optimal in the general population.

Functional organization of multisensory integration network in children and youth with neurodevelopmental disorders predicts clinical sensory issues

The paper examines multisensory integration network (MSN) functional connectivity in neurodevelopmental disorders and finds that sensory characteristics, not diagnoses, drive the observed neural patterns.

Measuring the neurodevelopmental trajectory of excitatory-inhibitory balance via visual gamma oscillations

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.

Dataset factors associated with age-related changes in brain structure and function in neurodevelopmental conditions

The paper examines age-related changes in brain structure and function across two neurodiverse datasets, finding differences linked to demographic and clinical factors.

The development of aperiodic and periodic resting-state power between early childhood and adulthood: new insights from optically pumped magnetometers

This study examines age-related changes in periodic and aperiodic brain activity using optically pumped magnetometers across different age groups.

The neurodevelopmental trajectory of beta band oscillations: an OPM-MEG study

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

Using OPM-MEG in contrasting magnetic environments

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.

Subtly altered topological asymmetry of brain structural covariance networks in autism spectrum disorder across 43 datasets from the ENIGMA consortium

The paper examines hemispheric asymmetry in structural covariance networks in ASD across 43 datasets, finding altered topological features in specific brain regions.

The developing relations between networks of cortical myelin and neurophysiological connectivity

This study examines how structural and functional brain connectivity change with age, showing nonlinear developmental patterns and frequency-dependent relationships.

Examining the boundary sharpness coefficient as an index of cortical microstructure and its relationship to age and sex in autism spectrum disorder

This study examines the boundary sharpness coefficient (BSC) as a measure of cortical microstructure in ASD, finding age, sex, and regional differences in BSC that correlate with clinical measures.

Altered structural brain asymmetry in autism spectrum disorder: large-scale analysis via the ENIGMA Consortium

This study identifies altered structural brain asymmetry in autism spectrum disorder using a large-scale meta-analysis of MRI data from 1,774 ASD cases and 1,809 controls.

Oscillatory Default Mode Network Coupling In Concussion

This study examines how concussion affects functional brain networks using MEG, finding increased connectivity in the default mode and motor networks associated with symptoms.