Neurosalience #S1E5 with Catie Chang - Pulling more from the resting state time series, focusing on vigilance

Peter Bandetti talks to Catie Chang, who walks us through her thought process regarding pulling information out of the fMRI time series. After discussing some of the ongoing issues in fMRI, such as whether or not to use global signal regression to remove noise, she leads us into a commonly overlooked effect in fMRI—that of changes in arousal and vigilance. In particular, this has measurable effects on the resting state fMRI signal. She discusses the perspective that one person’s artifact may be another’s useful signal, depending on the goal of the study.