Soo‐Eun Chang

This study uses fixel-based analysis to examine white matter differences in children who stutter compared to controls, finding significant group and age-related effects in fiber-bundle cross-section.

This study identifies four neural subtypes in children who stutter based on structural brain atypicalities, revealing distinct patterns associated with severity and recovery.

This study examines neural oscillatory activity and connectivity in children who stutter during a non-speech motor task, finding reduced left hemisphere modulation and altered interhemispheric connectivity.

This study uses large neuroimaging datasets to develop a predictive model classifying children who stutter from fluent peers, achieving 72% accuracy.

The paper investigates the relationship between genetic factors and brain structure in children with persistent stuttering, finding spatial correlations between gene expression and gray matter volume differences.