Xiaoping Philip Hu

Dynamic fingerprinting of the human functional connectome

This study develops dynamic brain fingerprinting using state-specific functional connectivity, showing improved individual identification and cognitive prediction compared to static methods.

Connectome-based predictive modelling predicts frailty levels in older adults

This study uses connectome-based predictive modeling to show that task-based brain functional connectivity can predict grip strength, a marker of frailty, with subcortical regions like the caudate nucleus playing a key role.

Characterization of MEK1/2 Degraders Uncovers a Kinase-Independent Role for MEK1/2 in the Stabilization and Maturation of CRAF

The paper identifies a kinase-independent role of MEK1/2 in stabilizing and maturing CRAF through direct binding, independent of catalytic activity.

Locus Coeruleus Contrast and Diffusivity: Effects of Age and Relations to Memory

This study compares MRI metrics of locus coeruleus structure in younger and older adults, finding maximum magnetization transfer contrast as the best predictor of age group and sex-related differences.

Locus coeruleus neuromelanin predicts ease of attaining and maintaining neural states of high attentiveness

The paper uses a hidden Markov model to analyze functional neuroimaging data and shows that locus coeruleus neuromelanin levels correlate with individual differences in maintaining attention-related neural states.

A novel hidden Markov approach to studying dynamic functional connectivity states in human neuroimaging

This paper introduces a novel hidden Markov model for analyzing dynamic functional connectivity states in neuroimaging data and shows it outperforms existing methods.