Victoria Leong

This study examines how linear and nonlinear brain connectivity changes with age during social interactions, finding that nonlinear measures better capture developmental differences in neural processing.

This paper introduces a denoising diffusion model for EEG signals that uses pose coordinates to improve denoising performance and maintain spatial dependencies.

This paper examines optimal window size selection for EEG connectivity analysis in infants, adults, and dyadic pairs, finding that optimal sizes vary depending on the metric and dataset.

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 examines whether neural, autonomic, and behavioral synchrony in mother-child dyads are distinct, finding that neural synchrony differs from other systems and is linked to social affiliation.

This study examines how emotional valence affects parent-infant inter-brain network topology using dual-EEG data during social interactions.

This study examines how parental neural responsivity to infants' visual attention influences infant attention during solo and joint play.

The paper introduces a neuropsychological coding framework to analyze adult-infant play patterns across sensorimotor, cognitive, and socio-emotional dimensions, demonstrating its ability to distinguish playful from non-playful interactions.

This study shows that direct gaze between adults and infants enhances bidirectional neural coupling during communication, improving information transfer.

The paper compares neural oscillatory entrainment to speech in infants and adults, finding infants show better phase-locking at Theta and Alpha rates but less accuracy at slow phrasal patterns.