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Quantifying the Reconfiguration of Intrinsic Networks during Working Memory
Rapid, flexible reconfiguration of connections across brain regions is thought to underlie successful cognitive control. Two intrinsic networks in particular, the cingulo-opercular (CO) and fronto-parietal (FP), are thought to underlie two operations critical for cognitive control: task-set maintena...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156328/ https://www.ncbi.nlm.nih.gov/pubmed/25191704 http://dx.doi.org/10.1371/journal.pone.0106636 |
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author | Cohen, Jessica R. Gallen, Courtney L. Jacobs, Emily G. Lee, Taraz G. D'Esposito, Mark |
author_facet | Cohen, Jessica R. Gallen, Courtney L. Jacobs, Emily G. Lee, Taraz G. D'Esposito, Mark |
author_sort | Cohen, Jessica R. |
collection | PubMed |
description | Rapid, flexible reconfiguration of connections across brain regions is thought to underlie successful cognitive control. Two intrinsic networks in particular, the cingulo-opercular (CO) and fronto-parietal (FP), are thought to underlie two operations critical for cognitive control: task-set maintenance/tonic alertness and adaptive, trial-by-trial updating. Using functional magnetic resonance imaging, we directly tested whether the functional connectivity of the CO and FP networks was related to cognitive demands and behavior. We focused on working memory because of evidence that during working memory tasks the entire brain becomes more integrated. When specifically probing the CO and FP cognitive control networks, we found that individual regions of both intrinsic networks were active during working memory and, as expected, integration across the two networks increased during task blocks that required cognitive control. Crucially, increased integration between each of the cognitive control networks and a task-related, non-cognitive control network (the hand somatosensory-motor network; SM) was related to increased accuracy. This implies that dynamic reconfiguration of the CO and FP networks so as to increase their inter-network communication underlies successful working memory. |
format | Online Article Text |
id | pubmed-4156328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41563282014-09-09 Quantifying the Reconfiguration of Intrinsic Networks during Working Memory Cohen, Jessica R. Gallen, Courtney L. Jacobs, Emily G. Lee, Taraz G. D'Esposito, Mark PLoS One Research Article Rapid, flexible reconfiguration of connections across brain regions is thought to underlie successful cognitive control. Two intrinsic networks in particular, the cingulo-opercular (CO) and fronto-parietal (FP), are thought to underlie two operations critical for cognitive control: task-set maintenance/tonic alertness and adaptive, trial-by-trial updating. Using functional magnetic resonance imaging, we directly tested whether the functional connectivity of the CO and FP networks was related to cognitive demands and behavior. We focused on working memory because of evidence that during working memory tasks the entire brain becomes more integrated. When specifically probing the CO and FP cognitive control networks, we found that individual regions of both intrinsic networks were active during working memory and, as expected, integration across the two networks increased during task blocks that required cognitive control. Crucially, increased integration between each of the cognitive control networks and a task-related, non-cognitive control network (the hand somatosensory-motor network; SM) was related to increased accuracy. This implies that dynamic reconfiguration of the CO and FP networks so as to increase their inter-network communication underlies successful working memory. Public Library of Science 2014-09-05 /pmc/articles/PMC4156328/ /pubmed/25191704 http://dx.doi.org/10.1371/journal.pone.0106636 Text en © 2014 Cohen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Cohen, Jessica R. Gallen, Courtney L. Jacobs, Emily G. Lee, Taraz G. D'Esposito, Mark Quantifying the Reconfiguration of Intrinsic Networks during Working Memory |
title | Quantifying the Reconfiguration of Intrinsic Networks during Working Memory |
title_full | Quantifying the Reconfiguration of Intrinsic Networks during Working Memory |
title_fullStr | Quantifying the Reconfiguration of Intrinsic Networks during Working Memory |
title_full_unstemmed | Quantifying the Reconfiguration of Intrinsic Networks during Working Memory |
title_short | Quantifying the Reconfiguration of Intrinsic Networks during Working Memory |
title_sort | quantifying the reconfiguration of intrinsic networks during working memory |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156328/ https://www.ncbi.nlm.nih.gov/pubmed/25191704 http://dx.doi.org/10.1371/journal.pone.0106636 |
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