Ye He

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

This paper identifies amplitude-dependent co-fluctuation transitions along the sensorimotor-association axis using resting-state fMRI data across developmental stages and external stimuli.

The paper introduces a longitudinal dataset of school-age children and adolescents in China, detailing its design, sampling, and neuroimaging measurements.

The paper benchmarks ifNN methods to improve test-retest reliability of individual differences in spontaneous brain activity using the Human Connectome Project.

This study shows video-evoked fMRI BOLD responses are consistent across different data acquisition sites, both for matched and unmatched datasets.

This study compares manual and automatic amygdala segmentation methods in children and adolescents, finding systematic volume differences and method-specific growth patterns.

The paper develops a pipeline to generate age-specific MRI brain templates and growth charts for children and adolescents, revealing neurodevelopmental differences between Chinese and US populations.

The paper investigates the replicability of functional connectivity differences in ASD across sites and denoising strategies, finding low cross-site consistency despite consistent group-average connectomes.

The paper shows that the right auditory cortex is more integrated in the brain network, enabling more efficient communication, with this asymmetry explained by diffusive communication mechanisms.