Wen‐Ju Pan

This paper introduces a platform combining wide-field optical imaging and fMRI to study neuronal infraslow dynamics underlying functional connectivity.

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.

This study examines the relationship between neural and hemodynamic functional connectomes across time scales using simultaneous wide-field optical imaging and resting-state functional MRI.

This study evaluates how scan duration, TR, and frequency bands affect the reliability of functional connectivity patterns derived from rs-fMRI using QPPs and cPCA.

This study uses QPP and cPCA to analyze spatiotemporal network changes in AD progression, identifying early disruptions in specific brain networks and showing their potential as biomarkers.

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

The paper shows that resting brain fluctuations in mice are intrinsically linked to visual response dynamics through quasiperiodic patterns.

The paper examines the relationship between BOLD and neural activity using simultaneous rs-fMRI and LFP recordings in rats, finding that high-amplitude LFP events drive BOLD signals and co-activation patterns.

The paper maps whole-brain dynamics into a continuous state space using scale transformations and identifies stimulus-dependent brain states from resting and task data.