Luke Mason

The paper investigates crossmodal attention development in infants, finding that 8-month-olds show tactile-to-visual spatial cuing effects, while 5-month-olds do not.

The paper investigates how cortical excitability during fixations relates to frequency-specific neural activity in children and adults, finding developmental differences in oscillatory patterns.

The paper performs an epigenome-wide analysis of DNA methylation in infants to identify associations with the pupillary light reflex, finding novel methylation signatures linked to PLR latency and amplitude.

This study shows that including zero-phase-delay connectivity improves the reliability and prognostic ability of functional connectivity metrics in neural populations.

The paper examines EEG abnormalities in ASD and controls, finding reduced fE/I in both groups with abnormalities, suggesting inhibition-dominated networks in sensory regions.

This study assesses visual attention in toddlers using eye-tracking data from 350 participants and introduces a shared data resource for research.

The paper investigates the relationship between glutamate and GABA gene-sets, autism symptoms, and cortical thickness using data from the EU-AIMS LEAP cohort.

The paper identifies patterns of neural variability in autism using fMRI across tasks, finding greater global connectivity deviations and similar spatial patterns in autistic individuals compared to controls.

The paper identifies a multimodal brain pattern associated with autism by integrating gray and white matter morphology data and linking it to clinical symptoms.

The paper identifies atypical brain asymmetry in autism as a potential neurophenotype for stratification, showing individualized patterns linked to symptom severity and language delay.

This study investigates reward processing in autism spectrum disorder (ASD) and finds generalized hypoactivity in the ventral striatum during anticipation of both social and monetary rewards.

The paper develops a phenotypic stratification model to predict autism subtypes based on SC-RRB balance and applies it to fMRI data, identifying subtype-specific neural circuitry and gene expression patterns.