Yuto Kashiwagi

This paper identifies a thalamo-somatomotor functional connectivity biomarker that stratifies MDD patients into subtypes with distinct antidepressant treatment responses, demonstrating generalizability across independent datasets.

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.

The paper investigates ACC connectivity in rats with chronic pain and finds it correlates with reduced burrowing behavior, indicating a role in motivational suppression.