Scientific article
Open access

Integration and segregation of large-scale brain networks during short-term task automatization

Published inNature communications, vol. 7, 13217
Publication date2016

The human brain is organized into large-scale functional networks that can flexibly reconfigure their connectivity patterns, supporting both rapid adaptive control and long-term learning processes. However, it has remained unclear how short-term network dynamics support the rapid transformation of instructions into fluent behaviour. Comparing fMRI data of a learning sample (N = 70) with a control sample (N = 67), we find that increasingly efficient task processing during short-term practice is associated with a reorganization of large-scale network interactions. Practice-related efficiency gains are facilitated by enhanced coupling between the cingulo-opercular network and the dorsal attention network. Simultaneously, short-term task automatization is accompanied by decreasing activation of the fronto-parietal network, indicating a release of high-level cognitive control, and a segregation of the default mode network from task-related networks. These findings suggest that short-term task automatization is enabled by the brain's ability to rapidly reconfigure its large-scale network organization involving complementary integration and segregation processes.

Citation (ISO format)
MOHR, Holger et al. Integration and segregation of large-scale brain networks during short-term task automatization. In: Nature communications, 2016, vol. 7, p. 13217. doi: 10.1038/ncomms13217
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Article (Published version)
ISSN of the journal2041-1723

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