Flexible and Modular Brain Network Dynamics Characterize Flow Experiences During Media Use: A Functional Magnetic Resonance Imaging Study. (11th November 2021)

• Record Type: Journal Article
• Authors: Huskey, Richard; Keene, Justin Robert; Wilcox, Shelby; Gong, Xuanjun (Jason); Adams, Robyn; Najera, Christina J
• Is Part Of: Journal of communication. Volume 72:Number 1(2022)
• Page Start: 6
• Page End: 32
• Publication Date: 2021-11-11
• Subjects: Flow -- Synchronization Theory -- Media -- Network Neuroscience -- Open Science; Communication -- Periodicals; Communication and traffic -- Periodicals; Information theory -- Periodicals; Mass media -- Periodicals; 302.2
• DOI: 10.1093/joc/jqab044
• Languages: English
• ISSNs: 0021-9916

Abstract

Abstract: Flow is thought to occur when both task difficulty and individual ability are high. Flow experiences are highly rewarding and are associated with well-being. Importantly, media use can be a source of flow. Communication scholars have a long history of theoretical inquiry into how flow biases media selection, how different media content results in flow, and how flow influences media processing and effects. However, the neurobiological basis of flow during media use is not well understood, limiting our explanatory capacity to specify how media contribute to flow or well-being. Here, we show that flow is associated with a flexible and modular brain-network topology, which may offer an explanation for why flow is simultaneously perceived as high-control and effortless, even when the task difficulty is high. Our study tests core predictions derived from synchronization theory, and our results provide qualified support for the theory while also suggesting important theoretical updates.