Dongya Wu

Connectome-based individual prediction of cognitive behaviors via the graph propagation network reveals directed brain network topology

This study introduces a graph propagation network to predict cognitive behaviors from brain connectomes, finding it outperforms traditional methods by leveraging directed network topology.

Multi-hops functional connectivity improves individual prediction of fusiform face activation via a graph neural network

The paper uses a multi-hops graph neural network to predict individual fusiform face activation, showing improved performance over previous methods.

Hierarchy of connectivity-function relationship of the human cortex revealed through predicting activity across functional domains

The paper predicts functional activity from anatomical connectivity across the human cortex, revealing a hierarchy of connectivity-function relationships correlated with functional and anatomical hierarchies.

Consistency in predicting functions from anatomical and functional connectivity profiles across the cortical cortex

The paper compares anatomical and functional connectivity in predicting cortical functions and finds anatomical connectivity is generally comparable but less variable across individuals.