Nobumasa Kato

Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study

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

Effects of upgrading acquisition-techniques and harmonization methods: A multi-modal MRI study with implications for longitudinal designs

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.

Common brain networks between major depressive disorder and symptoms of depression that are validated for independent cohorts

The paper identifies common brain networks between major depressive disorder and depression symptoms that generalize across independent imaging sites.

White matter alterations in autism spectrum disorder and attention-deficit/hyperactivity disorder in relation to sensory profile

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

Overlapping but asymmetrical relationships between schizophrenia and autism revealed by brain connectivity

The paper uses brain connectivity data to show overlapping but asymmetrical relationships between schizophrenia and autism.

Cortical surface architecture endophenotype and correlates of clinical diagnosis of autism spectrum disorder

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.

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

The paper develops a harmonization method for resting-state fMRI data across sites by separating site differences into sampling and measurement biases, reducing measurement bias by 29% and improving signal-to-noise ratios by 40%.

A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity

The paper builds a working memory prediction model from whole-brain functional connectivity in healthy individuals and applies it to psychiatric disorders, finding correlations between connectivity patterns and working memory performance.

Machine learning approach to identify resting-state functional connectivity pattern serving as an endophenotype of autism spectrum disorder

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.

Aberrant cerebellar-default-mode functional connectivity underlying auditory verbal hallucinations in schizophrenia revealed by multi-voxel pattern analysis of resting-state functional connectivity MRI data

The paper uses multi-voxel pattern analysis to identify altered functional connectivity in schizophrenia patients, finding a link between cerebellar and default-mode network connectivity and auditory verbal hallucination severity.