Emily J. H. Jones

The paper examines altered visual cortical functional connectivity in 5-month-old infants linked to autism symptoms and motion processing.

The paper introduces a multiscale resource integrating genetics, brain imaging, and clinical data from autistic individuals and their relatives to explore genetic and neurobiological patterns in autism.

The paper uses kriging to show that task-induced brain activity increases can be predicted from activity decreases, revealing topographically determined antagonistic relationships.

This study investigates whether cognitive empathy emerges before affective empathy in toddlers using fNIRS and heart rate monitoring, finding stronger cognitive empathy activation in younger children.

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.

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

The paper uses variograms to show that function changes more rapidly in association cortex than in sensory and motor cortex, linked to intracortical myelin levels.

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

The paper examines how mutual gaze onsets during infant-caregiver interactions affect neural responses and inter-brain synchrony, finding sender-specific effects without increased synchrony.

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 adapts an adult ICA component classifier for infant EEG data, showing improved performance in artifact removal and classification accuracy compared to both the original adult classifier and manual methods.

The paper introduces an active learning approach to efficiently approximate multiverse analyses in neuroimaging, demonstrating its ability to identify optimal analysis pipelines for predicting participant ages.

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.