LAUSR

Highlights • MAGE is multi-dynamic in that it models temporal fluctuations in FC independently from fluctuations in the mean of the activity.• MAGE reveals stronger changes in FC over time than single-dynamic approaches, such as sliding window correlations.• Multi-dynamic modelling provides an explanation and a solution as to why resting fMRI FC has previously looked so stable.• MAGE models fMRI data as a set of reoccurring brain states, and importantly, these states do not have to be binary and mutually exclusive (e.g., multiple states can be active at one time-point).• MAGE estimated time-varying FC is a better predictor of behavioural variability in the resting-state fMRI data than established methods.