English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Stimulus-driven reorienting impairs executive control of attention: Evidence for a common bottleneck in anterior insula

MPS-Authors
/persons/resource/persons73211

Trautwein,  Fynn-Mathis
Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons20000

Singer,  Tania
Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons19764

Kanske,  Philipp
Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Locator
There are no locators available
Fulltext (public)

Trautwein_2016.pdf
(Publisher version), 869KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Trautwein, F.-M., Singer, T., & Kanske, P. (2016). Stimulus-driven reorienting impairs executive control of attention: Evidence for a common bottleneck in anterior insula. Cerebral Cortex, 26(11), 4136-4147. doi:10.1093/cercor/bhw225.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002A-F75E-7
Abstract
A classical model of human attention holds that independent neural networks realize stimulus-driven reorienting and executive control of attention. Questioning full independence, the two functions do, however, engage overlapping networks with activations in cingulo-opercular regions such as anterior insula (AI) and a reverse pattern of activation (stimulus-driven reorienting), and deactivation (executive control) in temporoparietal junction (TPJ). To test for independent versus shared neural mechanisms underlying stimulus-driven and executive control of attention, we used fMRI and a task that isolates individual from concurrent demands in both functions. Results revealed super-additive increases of left AI activity and behavioral response costs under concurrent demands, suggesting a common bottleneck for stimulus-driven reorienting and executive control of attention. These increases were mirrored by non-additive decreases of activity in the default mode network (DMN), including posterior TPJ, regions where activity increased with off-task processes. The deactivations in posterior TPJ were spatially separated from stimulus-driven reorienting related activation in anterior TPJ, a differentiation that replicated in task-free resting state. Furthermore, functional connectivity indicated inhibitory coupling between posterior TPJ and AI during concurrent attention demands. These results demonstrate a role of AI in stimulus-driven and executive control of attention that involves down-regulation of internally directed processes in DMN.