Jin Liu

This study examines cognitive learning and brain plasticity in children with autism, finding that learning strategies and neural plasticity differ and are influenced by insistence on sameness.

The paper identifies two neurophysiological subtypes of MDD using normative models of functional connectivity in a large multisite fMRI dataset.

The paper investigates how structural and functional brain connectome variability are structurally constrained and finds a hierarchical relationship between primary and heteromodal brain regions.

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 identifies altered brain network dynamics and associated transcriptomic signatures in autism spectrum disorder using resting-state fMRI and postmortem gene expression data from the ABIDE dataset.

This study identifies dysfunction in the principal connectome gradient in MDD and links it to gene expression profiles related to transsynaptic signaling and calcium ion binding.

This study identifies transcriptional signatures associated with the hierarchical organization of dynamic brain networks using fMRI and gene expression data.