Tracking Dynamic Resting-State Networks with High Temporal Resolution fMRI

Hsu-Lei Lee¹, Benjamin Zahneisen¹, Thimo Grotz¹, Pierre LeVan¹, Jrgen Hennig¹

Most resting-state network analysis methods assume the networks are stationary during the course of the scan session, usually ranged from 5 to 15 minutes. However it might not be the case. We propose to use a highly under-sampled fast acquisition scheme (shell trajectory) to record images at a 10 Hz sampling rate and use sliding window to track the dynamic change in those coherent networks with a temporal resolution of 20 seconds.