Donghui Song

This paper identifies a tripartite organization of the human ventromedial prefrontal cortex using multimodal analyses and shows its reproducibility and cross-species correspondence.

This study examines how intranasal oxytocin affects brain entropy in young and old adults using fMRI-based mapping and finds age-dependent changes in brain activity.

This study replicates prior findings on brain entropy (BEN) and examines whether controlling for gray matter volume (GMV) alters the BEN-task activation relationship, finding BEN captures unique variance beyond GMV.

The paper analyzes brain entropy (BEN) during movie watching in children aged 3-12 using fMRI data to identify developmental changes in the action-mode network.

This study investigates the relationship between resting-state brain entropy (BEN), ovarian hormones, and behavioral inhibition and activation systems (BIS/BAS) using fMRI data.

This study examines how different intensities of iTBS affect brain entropy in healthy participants using resting-state fMRI data.

This study constructs structural and functional brain networks from regional brain profiles and shows that BENN provides better prediction of cognitive and emotional scores than traditional networks.

This study uses Brain Entropy (BEN) to analyze fMRI data and identifies distinct neural patterns associated with rumination compared to other mental states.

This study correlates regional brain entropy with cell-type data, finding positive and negative associations with specific cell types across different brain regions.

This study examines the relationship between brain entropy and structural-functional coupling in the human brain, revealing complex correlations with network efficiency and the sensorimotor-association axis.

This study introduces BEN-Based Predictive Modeling (BPM) to predict phenotypes using brain entropy (BEN) and gray matter volume (GMV), showing it outperforms GMV-based models and matches connectome-based predictive modeling (CPM) accuracy.

This study investigates how neurotransmitters contribute to structural-functional coupling in the brain using gray matter volume and brain entropy metrics from fMRI data.

The paper investigates how rTMS affects brain entropy (BEN) in different brain regions, finding that both excitatory and inhibitory rTMS protocols alter BEN in specific areas.

This study examines regional brain entropy during movie-watching, finding it more reliable than resting state and showing distinct patterns in sensory and association cortices.