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

  • Jacob C. Tanner
  • , Joshua Faskowitz
  • , Lisa Byrge
  • , Daniel P. Kennedy
  • , Olaf Sporns
  • , Richard F. Betzel

Research output: Contribution to journalArticlepeer-review

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 events (Formula presented.) 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.

Original languageEnglish (US)
Pages (from-to)1-21
Number of pages21
JournalImaging Neuroscience
Volume1
DOIs
StatePublished - Nov 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Massachusetts Institute of Technology. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Keywords

  • edge time series
  • events
  • functional connectivity
  • movie-watching
  • synchronous
  • time-varying

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