Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations.

ABSTRACT: The activity of functional brain networks is responsible for the emergence of time-varying cognition and behaviour. Accordingly, time-varying correlations (Functional Connectivity) in resting fMRI have been shown to be predictive of behavioural traits, and psychiatric and neurological conditions. Typically, methods that measure time varying Functional Connectivity (FC), such as sliding windows approaches, do not separately model when changes occur in the mean activity levels from when changes occur in the FC, therefore conflating these two distinct types of modulation. We show that this can bias the estimation of time-varying FC to appear more stable over time than it actually is. Here, we propose an alternative approach that models changes in the mean brain activity and in the FC as being

SUBMITTER: Pervaiz U 

PROVIDER: S-EPMC8907871 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature