Topology of functional connectivity and hub dynamics in the beta band as temporal prior for natural vision in the human brain

Viviana Betti, Maurizio Corbetta, Francesco de Pasquale, Vincent Wens, Stefania Della Penna

Research output: Contribution to journalArticle

Abstract

Networks hubs represent points of convergence for the integration of information across many different nodes and systems. Although a great deal is known on the topology of hub regions in the human brain, little is known about their temporal dynamics. Here, we examine the static and dynamic centrality of hub regions when measured in the absence of a task (rest) or during the observation of natural or synthetic visual stimuli. We used Magnetoencephalography (MEG) in humans (both sexes) to measure static and transient regional and network-level interaction in α- and β-band limited power (BLP) in three conditions: visual fixation (rest), viewing of movie clips (natural vision), and time-scrambled versions of the same clips (scrambled vision). Compared with rest, we observed in both movie conditions a robust decrement of α-BLP connectivity. Moreover, both movie conditions caused a significant reorganization of connections in the α band, especially between networks. In contrast, β-BLP connectivity was remarkably similar between rest and natural vision. Not only the topology did not change, but the joint dynamics of hubs in a core network during natural vision was predicted by similar fluctuations in the resting state. We interpret these findings by suggesting that slow-varying fluctuations of integration occurring in higher-order regions in the β band may be a mechanism to anticipate and predict slow-varying temporal patterns of the visual environment.

Original languageEnglish
Pages (from-to)3858-3871
Number of pages14
JournalJournal of Neuroscience
Volume38
Issue number15
DOIs
Publication statusPublished - Jan 1 2018

Keywords

  • Brain rhythms
  • Centrality
  • Functional connectivity
  • Magnetoencephalography
  • Natural stimulation
  • Resting-state networks

ASJC Scopus subject areas

  • Neuroscience(all)

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