Li Wang

This study links gut microbiome features to brain development in infants using multimodal neuroimaging and metagenomics.

This paper develops a fine-grained whole-brain functional parcellation framework for early human development and identifies a shared functional scaffold with division-specific organization.

The paper explores hippocampal surface expansion patterns in early development using MRI scans, identifying two distinct developmental patterns along different axes.

This paper introduces a method using local gradients of functional connectivity to identify infant brains with high accuracy, achieving 99% individual identification rates across ages.

This study maps cerebellocortical functional connectivity in children from birth to 60 months, revealing hierarchical organization and age-related changes in cerebellar network gradients.

This study creates the first infant-specific, fine-grained cortical functional parcellation maps using longitudinal fMRI data and advanced processing tools, revealing dynamic developmental patterns.

This paper introduces month-specific brain atlases for infants aged two weeks to two years, integrating surface and volumetric data to capture early brain development in a unified coordinate system.

This paper introduces 3D-MASNet, a 3D mixed-scale asymmetric convolutional network for segmenting infant brain MR images, achieving high Dice coefficients in GM, WM, and CSF.