Dongqiang Liu

This study evaluates seven dynamic functional connectivity methods using simulation data, finding that enhanced versions outperform originals based on spatiotemporal association.

The paper identifies four low-dimensional states of resting-state language networks, showing domain-separated dynamics and cognitive relevance.

This study uses hidden Markov models to analyze resting state fMRI data and shows age-related changes in brain network dynamics, including reduced anti-correlations and increased time spent in a baseline state.

The paper introduces PerAF, a new standardized metric for RS-fMRI that improves reliability and provides clearer insights into resting-state brain activity compared to existing methods like ALFF and fALFF.