Synchronous high-amplitude co-fluctuations of functional brain networks during movie-watching

Author:

Tanner Jacob C.12,Faskowitz Joshua34,Byrge Lisa3,Kennedy Daniel P.134,Sporns Olaf1345,Betzel Richard F.1345

Affiliation:

1. Cognitive Science Program, Indiana University, Bloomington, IN, United States

2. School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, United States

3. Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States

4. Program in Neuroscience, Indiana University, Bloomington, IN, United States

5. Network Science Institute, Indiana University, Bloomington, IN, United States

Abstract

Abstract Recent studies have shown that functional connectivity can be decomposed into its exact frame-wise contributions, revealing short-lived, infrequent, and high-amplitude time points referred to as “events.” Events contribute disproportionately to the time-averaged connectivity pattern, improve identifiability and brain-behavior associations, and differences in their expression have been linked to endogenous hormonal fluctuations and autism. Here, we explore the characteristics of events while subjects watch movies. Using two independently-acquired imaging datasets in which participants passively watched movies, we find that events synchronize across individuals and based on the level of synchronization, can be categorized into three distinct classes: those that synchronize at the boundaries between movies, those that synchronize during movies, and those that do not synchronize at all. We find that boundary events, compared to the other categories, exhibit greater amplitude, distinct co-fluctuation patterns, and temporal propagation. We show that underlying boundary events1 is a specific mode of co-fluctuation involving the activation of control and salience systems alongside the deactivation of visual systems. Events that synchronize during the movie, on the other hand, display a pattern of co-fluctuation that is time-locked to the movie stimulus. Finally, we found that subjects’ time-varying brain networks are most similar to one another during these synchronous events.

Publisher

MIT Press

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