Yunman Xia

The paper links heart rate dynamics to brain functional organization and cognitive traits using multi-modal data and statistical analysis.

The paper develops a digital twin brain model that simulates and manipulates functional brain networks to predict mental illness symptoms and responses to interventions.

The paper introduces DeepTaskGen, a deep learning method that generates synthetic task-based contrast maps from resting-state fMRI data, outperforming benchmarks and enabling biomarker development for cognitive tasks.

This study investigates how overlapping functional modules in the developing human brain change with age and their structural correlates using multimodal MRI data.

This paper identifies a dual long-axis organization in the human hippocampus during youth, showing its role in cortical hierarchy maturation and functional reorganization.

The paper shows that a sensorimotor-to-visual connectome gradient present at birth predicts cognitive outcomes at 2 years of age in preterm and term babies.

This study tracks the development of a primary-to-transmodal gradient in the brain from childhood to adolescence, linking it to cognitive functions and gene expression.

This study maps the structural and functional connectome of mentalizing in humans using multimodal neuroimaging data, revealing its distinct architecture and relationship with the default mode network.

This study examines age-related changes in dynamic functional network connectivity across the adult lifespan, finding reduced variability and specific topological features associated with cognitive aging.