Yuta Y. Aoki

This study develops a generalizable neuromarker for ASD across multiple sites and developmental stages, showing significant performance in adults, children, and adolescents.

This study evaluates the impact of MRI acquisition upgrades and harmonization methods on brain parameters, showing that harmonization reduces protocol effects but requires sufficient participants.

This study examines white matter abnormalities in ASD and ADHD using DTI and finds shared and distinct relationships between white matter and sensory profiles.

This study uses functional magnetic resonance imaging to predict aspects of subjective well-being from social relationships, finding distinct functional connectomes for different well-being dimensions.

The paper identifies cortical sulcal depth as an ASD endophenotype and shows neural correlates for clinical diagnosis differ from this endophenotype when accounting for TD sibling differences.

The paper uses machine learning to identify a resting-state functional connectivity pattern associated with autism spectrum disorder endophenotypes and links it to communication impairment severity.