Literature DB >> 24830839

Anticipatory processes in brain state switching - evidence from a novel cued-switching task implicating default mode and salience networks.

Justina Sidlauskaite1, Jan R Wiersema2, Herbert Roeyers2, Ruth M Krebs3, Eliana Vassena3, Wim Fias4, Marcel Brass3, Eric Achten5, Edmund Sonuga-Barke6.   

Abstract

The default mode network (DMN) is the core brain system supporting internally oriented cognition. The ability to attenuate the DMN when switching to externally oriented processing is a prerequisite for effective performance and adaptive self-regulation. Right anterior insula (rAI), a core hub of the salience network (SN), has been proposed to control the switching from DMN to task-relevant brain networks. Little is currently known about the extent of anticipatory processes subserved by DMN and SN during switching. We investigated anticipatory DMN and SN modulation using a novel cued-switching task of between-state (rest-to-task/task-to-rest) and within-state (task-to-task) transitions. Twenty healthy adults performed the task implemented in an event-related functional magnetic resonance imaging (fMRI) design. Increases in activity were observed in the DMN regions in response to cues signalling upcoming rest. DMN attenuation was observed for rest-to-task switch cues. Obversely, DMN was up-regulated by task-to-rest cues. The strongest rAI response was observed to rest-to-task switch cues. Task-to-task switch cues elicited smaller rAI activation, whereas no significant rAI activation occurred for task-to-rest switches. Our data provide the first evidence that DMN modulation occurs rapidly and can be elicited by short duration cues signalling rest- and task-related state switches. The role of rAI appears to be limited to certain switch types - those implicating transition from a resting state and to tasks involving active cognitive engagement.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Default mode network; Insula; Resting state; State-switching; Task-switching; fMRI

Mesh:

Year:  2014        PMID: 24830839     DOI: 10.1016/j.neuroimage.2014.05.010

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


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