Activity: Participating in or organising an eventParticipation in conference


Resting State fMRI in the moving fetus: a robust algorithm for motion correction. Resting State Networks (RSNs) are coherent and spatially well located fluctuations of the BOLD signal, that appear whenever the brain undergoes a resting state condition. RSNs have been extensively mapped out in adults, where the amount of exhibited motion is relatively small. The presence of RSNs in infants and preterm babies has also been proved, suggesting that this phenomenon starts to affect the functional development of the human brain from the first stages of life. In most of the previous studies of Resting State Networks in fetuses, however, as much as 50% (or even more) of the data was excluded because of motion. Motion corrupts severely slow imaging techniques like MRI, rendering data acquisition and analysis challenging. In this work, we developed and tested a processing framework for fetal Resting State fMRI, capable of correcting gross motion. The method comprises slice to volume registration and target volume estimation. A simple way to cope with non uniform temporal sampling of fetal fMRI data is also discussed.
Period3 Oct 2013
Event typeConference
LocationToulouse, United KingdomShow on map