BOLD cofluctuation 'events' are predicted from static functional connectivity.

ABSTRACT: Recent work identified single time points ("events") of high regional cofluctuation in functional Magnetic Resonance Imaging (fMRI) which contain more large-scale brain network information than other, low cofluctuation time points. This suggested that events might be a discrete, temporally sparse signal which drives functional connectivity (FC) over the timeseries. However, a different, not yet explored possibility is that network information differences between time points are driven by sampling variability on a constant, static, noisy signal. Using a combination of real and simulated data, we examined the relationship between cofluctuation and network structure and asked if this relationship was unique, or if it could arise from sampling variability alone. First, we show that events are

SUBMITTER: Ladwig Z 

PROVIDER: S-EPMC9428936 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature