Xi Jiang

This paper introduces a method to quantify how brain structure constrains higher-order functional interactions and shows its relevance in Alzheimer's disease.

The paper uses sulcal pits to analyze cortical folding patterns across 90 mammalian species, revealing evolutionary trajectories linked to ecology and behavior, and identifying human-specific cortical regions.

This study identifies shared and unique gyral peaks in human and macaque brains and examines their spatial distribution, anatomical morphology, and functional connectivity.

This study uses multi-task deep learning to identify unique functional neuroanatomy fingerprints for seven mental processes, showing high classification accuracy and robustness across datasets.

This study uses graph attention networks on MRI data to analyze functional connectivity differences between brain gyri, sulci, and subcortical regions, finding task-specific connection importance.

This paper uses neuroimaging meta-analyses to identify the insular and midcingulate cortex as key regions of the central autonomic system, showing task-independent and task-specific roles in autonomic signal processing.

This study identifies common and distinct brain networks for core and social disgust using meta-analyses, showing shared and specialized regions.

This study finds reduced homotopic interhemispheric functional connectivity in children with ASD in specific brain networks, suggesting its potential as an early biomarker.

This study investigates how oxytocin modulates effective and dynamic connectivity in brain networks related to social-emotional behavior using resting-state fMRI data from 200 healthy subjects.