Guowei Wu

The paper identifies a connectional axis of functional connectivity variability across the human connectome, showing its structural correlates, developmental changes, and link to cognitive performance.

This study uses an ontology-guided machine learning approach to identify core functional brain networks for cognition, finding superior predictive performance for cognitive tasks compared to traditional methods.

The paper shows that the frontoparietal control network's topographic organization supports flexible behavior by switching between unified and segregated functional states based on memory needs.

This study compares how older musicians and non-musicians maintain speech perception in noise through functional lateralization preservation or compensation.

This study compares dynamic resting-state functional connectivity patterns in schizophrenia, bipolar disorder, and healthy controls, finding increased variability in specific brain regions and networks in both disorders, with schizophrenia showing more widespread changes.