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. 2008 Aug 26;105(34):12569-74.
doi: 10.1073/pnas.0800005105. Epub 2008 Aug 22.

A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks

Affiliations

A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks

Devarajan Sridharan et al. Proc Natl Acad Sci U S A. .

Abstract

Cognitively demanding tasks that evoke activation in the brain's central-executive network (CEN) have been consistently shown to evoke decreased activation (deactivation) in the default-mode network (DMN). The neural mechanisms underlying this switch between activation and deactivation of large-scale brain networks remain completely unknown. Here, we use functional magnetic resonance imaging (fMRI) to investigate the mechanisms underlying switching of brain networks in three different experiments. We first examined this switching process in an auditory event segmentation task. We observed significant activation of the CEN and deactivation of the DMN, along with activation of a third network comprising the right fronto-insular cortex (rFIC) and anterior cingulate cortex (ACC), when participants perceived salient auditory event boundaries. Using chronometric techniques and Granger causality analysis, we show that the rFIC-ACC network, and the rFIC, in particular, plays a critical and causal role in switching between the CEN and the DMN. We replicated this causal connectivity pattern in two additional experiments: (i) a visual attention "oddball" task and (ii) a task-free resting state. These results indicate that the rFIC is likely to play a major role in switching between distinct brain networks across task paradigms and stimulus modalities. Our findings have important implications for a unified view of network mechanisms underlying both exogenous and endogenous cognitive control.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Activations in the Central-Executive and Salience Networks and deactivations in the Default-Mode Network during auditory event transitions. (A) Analysis with the General Linear Model (GLM) revealed regional activations (Left) in the right hemispheric FIC and ACC (blue circles); DLPFC and PPC (green circles) (coronal sections at y = +22, +12 and −52 mm) and deactivations (Right) in the VMPFC and PCC (sagittal section at x = +4 mm and axial sections at z = +26 and −8 mm, yellow circles) during event transitions. The scale for t-scores is shown along side. Activations height and extent thresholded at the P < 0.01 level (corrected). (B) Independent Component Analysis (ICA, a model-free analysis technique) provided converging evidence for spatially independent and distinct networks. From left to right: Salience Network (rFIC and ACC), Central-Executive Network (rDLPFC and rPPC), and Default-Mode Network (VMPFC and PCC). Activations height and extent thresholded at the P < 0.001 level (uncorrected). The ICA prunes out extraneous activation and deactivation clusters visible in the GLM analysis to reveal brain regions that constitute independent and tightly coupled networks.
Fig. 2.
Fig. 2.
Onset latencies of the event-related responses in the six key nodes of the SN (blue bars), CEN (green bars) and DMN (yellow bars) in the auditory event segmentation task. The rFIC onset significantly earlier than each of the nodes in the CEN and DMN (two-sample t-test, q <0.05, indicated by (*), FDR corrected for multiple comparisons). Error bars denote standard error of the mean (SEM) across subjects.
Fig. 3.
Fig. 3.
Granger causality analysis (GCA) of the six key nodes of the Salience (blue nodes), Central-Executive (green nodes) and Default-Mode (yellow nodes) networks during (A) auditory event segmentation, (B) visual oddball attention task, and (C) task-free resting state. GCA revealed significant causal outflow from the rFIC across tasks and stimulus modalities. In each subfigure, the thickness of the connecting arrows between two regions corresponds to the strength of directed connection (F-value) normalized by the maximum F-value between any pair of regions for that task (“raw” F-values reported in Table S4). Only links that showed significant directed connectivity at the group-level (Mann-Whitney U test, P < 0.01; Bonferroni corrected for multiple comparisons) are shown (gray arrows); a subset of these links that showed a dominant directional influence (difference of influence term) are highlighted in red (Mann-Whitney U test, P < 0.05).
Fig. 4.
Fig. 4.
Net Granger causal outflow (out-in degree) of the key nodes of the Salience, Central-Executive, and Default-Mode Networks in the three experiments. Comparison of the net causal outflow (out-in degree) for the six key nodes of the Salience, Central-Executive, and Default-Mode networks as assessed by Granger causality analysis revealed that the rFIC has a significantly higher net causal outflow than the CEN and DMN regions across tasks (conventions as in Fig. 2). Specifically, the rFIC had a significantly higher net causal outflow than almost all of the other CEN and DMN regions for the auditory segmentation and resting-state tasks, and the rDLPFC for the visual oddball task (two-sample t-test, q < 0.05, indicated by (*), FDR corrected for multiple comparisons).

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