Nan Xu

This paper introduces a method to analyze directional brain network organization using fMRI data, identifying strength and duration signatures of neural influence across species and conditions.

The paper investigates the neural origins of quasi-periodic patterns in resting-state fMRI using combined calcium imaging and fMRI, finding a time-locked correlation between neural activity and BOLD signals.

The paper introduces channel capacity as a measure of directed information transfer between brain regions and validates it across human and rodent neuroimaging datasets to assess its sensitivity, specificity, and temporal variability.

QPPLab detects, analyzes, and visualizes large-scale quasiperiodic spatiotemporal patterns in brain activity, offering customizable tools and automated workflows for diverse datasets.

The paper examines variations in large-scale spatiotemporal brain activity patterns across different brain states using resting-state fMRI data from humans and rats.

This study shows that time-varying functional connectivity between brain networks predicts fluctuations in sustained attention during a finger-tapping task.

This study investigates how optogenetic stimulation of the locus coeruleus affects global spatiotemporal patterns in rats using resting-state fMRI.

This paper investigates how systematic and random visual stimulation affects infraslow quasiperiodic spatiotemporal patterns (QPP) of whole-brain activity and finds distinct impacts on QPP waveform characteristics and frequency.

This study uses prediction correlation on resting-state fMRI data to analyze spatiotemporal functional interactions within and between large-scale brain networks, revealing distinct connectivity patterns.