Kiyoto Kasai

This study shows that genetic and epigenetic regulation of SLC6A4 influences vulnerability to cognitive decline and depressive symptoms in older adults.

The paper examines the association between Alzheimer's disease polygenic risk scores and cognitive decline measured by MMSE in a Japanese cohort, finding stronger associations with scores derived from Japanese GWAS.

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 study shows chronic social defeat stress in mice causes metabolic dysregulation through cerebellar pathways, linking psychological stress to type II diabetes.

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 examines brain morphometric deviations in individuals at clinical high-risk for psychosis and finds they largely overlap with healthy variation and are not strongly associated with symptom severity or conversion to psychosis.

The paper shows that functional and structural brain network patterns are preserved from parents to children and identifies demographic and behavioral factors affecting brain similarity.

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

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 examines how paternal and maternal-child relationships affect brain connectivity and psychobehavioral problems in adolescents, finding sex-specific effects on aggression and internalizing issues.

The paper identifies hypermethylation of SLC6A4 in male schizophrenia patients and links it to reduced amygdala volume and 5-HTTLPR genotype.

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.