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


ABSTRACT: 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.

SUBMITTER: Mohr H 

PROVIDER: S-EPMC5097148 | biostudies-other | 2016 Nov

REPOSITORIES: biostudies-other

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

Mohr Holger H   Wolfensteller Uta U   Betzel Richard F RF   Mišić Bratislav B   Sporns Olaf O   Richiardi Jonas J   Ruge Hannes H  

Nature communications 20161103


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 assoc  ...[more]

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