Haruhisa Ohta

This study examines reduced multiscale entropy (MSE) in adults with autism spectrum disorder (ASD) and its association with social communication, using EEG data during rest and movie viewing conditions.

The paper examines intrinsic neural timescales in autism spectrum disorder and typically developed controls, finding preserved hierarchical organization but individual variability linked to sensory traits.

This study examines iron deposition and functional connectivity in the substantia nigra of adults with autism, finding increased iron and altered connectivity patterns associated with symptom severity.

The paper evaluates rs-fMRI analysis pipelines for MDD biomarkers using multi-site datasets, finding optimal combinations of parcellation, connectivity estimation, harmonization, and machine learning methods.

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.

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.