Observing Resting-State Networks at Higher Frequencies with MR-Encephalography and Independent Component Analysis

Hsu-Lei Lee¹, Benjamin Zahneisen¹, Thimo Hugger¹, Pierre LeVan¹, Jrgen Hennig¹

MR-Encephalography allows the acquisition of whole brain volume image within 100 msec. With this high sampling rate, we looked at resting-state fMRI BOLD signal at 0.5~0.8 Hz. Independent component analysis revealed several resting-state networks that are similar to the ones observed under 0.1 Hz. These networks at higher frequencies are more stable as we shorten the signal length, therefore can provide the possibility to shorten total scan time and to assess resting-state network dynamics over a period of time.