Tomohisa Okada

This paper presents a novel monkey model with impaired DISC1 gene to study adolescent prodromal phenotypes of psychiatric disorders, finding altered social behavior and disrupted brain connectivity.

The paper develops a method to profile resting-state fMRI connectivity variations to improve the reliability and generalizability of psychiatric disorder biomarkers across multiple centers.

This study compares unsupervised feature selection with supervised methods to identify robust resting-state functional connectivity patterns associated with psychiatric disorders.

This paper outlines a multi-site MRI study aiming to establish harmonized imaging biomarkers for brain disorders across the lifespan using standardized protocols and data from healthy and patient subjects.

The paper shows that high b-value diffusion tensor imaging (DTI) metrics are strongly associated with NODDI metrics in cortical gray matter, but low b-value DTI does not accurately reflect microstructure.