Naho Ichikawa

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

The paper replicates a brain age gap in depression using a large-scale multisite study, finding a similar effect size to a prior study.

This study identifies resting-state brain connectivity patterns that predict individual aptitude in fMRI-neurofeedback training, independent of targeted brain regions.

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

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

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%.

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.