 |
 |
Hello everyone, in a recent paper by Kober et al. I read the following: “After preprocessing, we extracted the global time course from white matter in each volume, and removed “spikes” (e.g., volumes in which the global time course was above or below 3 SD from the mean, after accounting for low-frequency drifts).” How would I best go about doing the same? I think I could extract the global time course from white matter using the toolbox “Volumes” with a mask for white matter that I got from the segmentation process for each participant. Is this correct? But how would I then account for low-frequency drifts? I would be grateful for advice. Best, Vera Vera Ludwig, M.Sc. Forschungsbereich Mind and Brain Klinik für Psychiatrie und Psychotherapie Charité– Universitätsmedizin Berlin Charitéplatz 1 D-10117 Berlin Telefon.: +49 / 30 / 450 517235 http://mindandbrain.charite.de/