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

Authors
Mohr, Holger
Wolfensteller, Uta
Betzel, Richard F.
Mišić, Bratislav
Sporns, Olaf
Ruge, Hannes
Published in Nature Communications. 2016, vol. 7, p. 13217
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.
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PMID: 27808095
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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. https://archive-ouverte.unige.ch/unige:96176

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Deposited on : 2017-08-15

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