Jianzhong Chen

The paper identifies multimodal brain network patterns associated with dimensions of psychopathology using the Adolescent Brain Cognitive Development dataset.

The paper introduces multilayer meta-matching to improve phenotypic prediction in small datasets by translating models from multiple large datasets, outperforming classical methods and transfer learning.

The paper shows that brain network features predicting internalizing and externalizing traits differ between children and adults, with more similarity within categories in children and distinct features in adults.

The paper identifies shared and unique brain network features that predict cognition, personality, and mental health in children using resting and task-state functional connectivity.