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Abstract #0634

Tracking Dynamic Resting-State Networks with High Temporal Resolution fMRI

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

1Medical Physics, University Medical Center Freiburg, Freiburg, Germany

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.