Toshiya Murai

This study uses fMRI to investigate neural differences between identity-states in DID without trauma provocation, finding distinct brain activity patterns during state switching.

This study identifies dual neural processes underlying olfactory dysfunction in Parkinson's and Alzheimer's diseases by analyzing brain atrophy patterns in a cohort with cognitive and movement disorders.

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 applies a 3D convolutional autoencoder to structural brain MRI data from schizophrenia and healthy subjects to extract disease-related features without diagnostic labels.

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