Mark Henry Johnson

This study shows that caregiver-infant interactions influence functional connectivity in the neonatal brain during the first postnatal month, with specific effects on short- and long-range connectivity.

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.

This paper conducts a genome-wide association meta-analysis of age at onset of walking, identifying 11 loci and showing genetic correlations with ADHD, BMI, intelligence, and brain structure.

The paper measures functional specialisation in the infant brain using multimodal imaging, showing increased coupling between neural activity and vascular supply during social processing.

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

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.