Network neuroscience reveals distinct neuromarkers of flow during media use

Richard Huskey, Shelby Wilcox, René Weber

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Flow is characterized by a high level of intrinsic reward that results from a balance between task difficulty and individual ability. The Synchronization Theory of Flow offers an explanation for the neural basis of this process. It predicts an energetically-optimized, brain-network organization between cognitive control and reward regions when task difficulty and individual ability are balanced. While initial results provide support for structural predictions, the many-to-many connectivity and energetic optimality hypotheses remain untested. Our study addresses this gap. Subjects played a video game while undergoing functional magnetic resonance imaging. We experimentally manipulated task difficulty and individual ability. Using graph theoretical analyses, we show that the balanced-difficulty condition (compared to low- or high-difficulty) was associated with the highest average network degree in the fronto-parietal control network (implicated in cognitive control) and had the lowest global efficiency value, indicating low metabolic cost, and thereby testing Synchronization Theory’s core predictions.

Original languageEnglish
Pages (from-to)872-895
Number of pages24
JournalJournal of Communication
Volume68
Issue number5
DOIs
StatePublished - 1 Oct 2018

Keywords

  • Communication science
  • Flow theory
  • Functional magnetic resonance imaging
  • Graph theory
  • Media neuroscience
  • Open science
  • Synchronization theory

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