Xiaodi Zhang

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.

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

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

This study uses a convolutional variational autoencoder to model spatiotemporal trajectories in resting-state fMRI data, revealing a small number of orthogonal patterns that capture key features of brain activity.