Ryan Andrew Stevenson

The paper compares neural responses to real and virtual faces expressing different emotions, finding distinct brain activity patterns for face type and emotional expression.

The paper examines age-related changes in functional connectivity and clinical outcomes in neurodivergent and neurotypical youth, finding divergence in connectivity patterns during adolescence that precedes clinical differences.

This study identifies unique functional connectivity patterns in autism associated with five sensory processing phenotypes using machine learning.

The paper examines how socioeconomic status and adversity affect the maturation rates of functional brain networks in children and adolescents, finding distinct associations with the default mode and hippocampal networks.

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

This study examines auditory brainstem development in Autistic individuals, finding hypo-responsivity in childhood and hyper-reactivity in adulthood, with sex-specific differences and correlation patterns.

The paper uses machine learning on fMRI data to predict cognitive abilities in children and adolescents with ADHD, finding distinct neural mechanisms in different age groups.

This study investigates how multisensory associative learning influences multisensory integration using EEG and behavioral measures, finding significant neural and behavioral correlations.

This study examines neural synchrony during movie watching in children with and without autism, finding reduced synchrony in ASD-diagnosed children in social cognition-related brain areas.