Edge-centric analysis of time-varying functional brain networks with applications in autism spectrum disorder.

ABSTRACT: The interaction between brain regions changes over time, which can be characterized using time-varying functional connectivity (tvFC). The common approach to estimate tvFC uses sliding windows and offers limited temporal resolution. An alternative method is to use the recently proposed edge-centric approach, which enables the tracking of moment-to-moment changes in co-fluctuation patterns between pairs of brain regions. Here, we first examined the dynamic features of edge time series and compared them to those in the sliding window tvFC (sw-tvFC). Then, we used edge time series to compare subjects with autism spectrum disorder (ASD) and healthy controls (CN). Our results indicate that relative to sw-tvFC, edge time series captured rapid and bursty network-level fluctuations that synchroniz

SUBMITTER: Zamani Esfahlani F 

PROVIDER: S-EPMC12403185 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature