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Fluid Intelligence Predicts Novel Rule Implementation in a Distributed Frontoparietal Control Network

Fluid intelligence has been associated with a distributed cognitive control or multiple-demand (MD) network, comprising regions of lateral frontal, insular, dorsomedial frontal, and parietal cortex. Human fluid intelligence is also intimately linked to task complexity, and the process of solving com...

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Detalles Bibliográficos
Autores principales: Tschentscher, Nadja, Mitchell, Daniel, Duncan, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5426573/
https://www.ncbi.nlm.nih.gov/pubmed/28408412
http://dx.doi.org/10.1523/JNEUROSCI.2478-16.2017
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author Tschentscher, Nadja
Mitchell, Daniel
Duncan, John
author_facet Tschentscher, Nadja
Mitchell, Daniel
Duncan, John
author_sort Tschentscher, Nadja
collection PubMed
description Fluid intelligence has been associated with a distributed cognitive control or multiple-demand (MD) network, comprising regions of lateral frontal, insular, dorsomedial frontal, and parietal cortex. Human fluid intelligence is also intimately linked to task complexity, and the process of solving complex problems in a sequence of simpler, more focused parts. Here, a complex target detection task included multiple independent rules, applied one at a time in successive task epochs. Although only one rule was applied at a time, increasing task complexity (i.e., the number of rules) impaired performance in participants of lower fluid intelligence. Accompanying this loss of performance was reduced response to rule-critical events across the distributed MD network. The results link fluid intelligence and MD function to a process of attentional focus on the successive parts of complex behavior. SIGNIFICANCE STATEMENT Fluid intelligence is intimately linked to the ability to structure complex problems in a sequence of simpler, more focused parts. We examine the basis for this link in the functions of a distributed frontoparietal or multiple-demand (MD) network. With increased task complexity, participants of lower fluid intelligence showed reduced responses to task-critical events. Reduced responses in the MD system were accompanied by impaired behavioral performance. Low fluid intelligence is linked to poor foregrounding of task-critical information across a distributed MD system.
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spelling pubmed-54265732017-05-16 Fluid Intelligence Predicts Novel Rule Implementation in a Distributed Frontoparietal Control Network Tschentscher, Nadja Mitchell, Daniel Duncan, John J Neurosci Research Articles Fluid intelligence has been associated with a distributed cognitive control or multiple-demand (MD) network, comprising regions of lateral frontal, insular, dorsomedial frontal, and parietal cortex. Human fluid intelligence is also intimately linked to task complexity, and the process of solving complex problems in a sequence of simpler, more focused parts. Here, a complex target detection task included multiple independent rules, applied one at a time in successive task epochs. Although only one rule was applied at a time, increasing task complexity (i.e., the number of rules) impaired performance in participants of lower fluid intelligence. Accompanying this loss of performance was reduced response to rule-critical events across the distributed MD network. The results link fluid intelligence and MD function to a process of attentional focus on the successive parts of complex behavior. SIGNIFICANCE STATEMENT Fluid intelligence is intimately linked to the ability to structure complex problems in a sequence of simpler, more focused parts. We examine the basis for this link in the functions of a distributed frontoparietal or multiple-demand (MD) network. With increased task complexity, participants of lower fluid intelligence showed reduced responses to task-critical events. Reduced responses in the MD system were accompanied by impaired behavioral performance. Low fluid intelligence is linked to poor foregrounding of task-critical information across a distributed MD system. Society for Neuroscience 2017-05-03 /pmc/articles/PMC5426573/ /pubmed/28408412 http://dx.doi.org/10.1523/JNEUROSCI.2478-16.2017 Text en Copyright © 2017 Tschentscher et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Research Articles
Tschentscher, Nadja
Mitchell, Daniel
Duncan, John
Fluid Intelligence Predicts Novel Rule Implementation in a Distributed Frontoparietal Control Network
title Fluid Intelligence Predicts Novel Rule Implementation in a Distributed Frontoparietal Control Network
title_full Fluid Intelligence Predicts Novel Rule Implementation in a Distributed Frontoparietal Control Network
title_fullStr Fluid Intelligence Predicts Novel Rule Implementation in a Distributed Frontoparietal Control Network
title_full_unstemmed Fluid Intelligence Predicts Novel Rule Implementation in a Distributed Frontoparietal Control Network
title_short Fluid Intelligence Predicts Novel Rule Implementation in a Distributed Frontoparietal Control Network
title_sort fluid intelligence predicts novel rule implementation in a distributed frontoparietal control network
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5426573/
https://www.ncbi.nlm.nih.gov/pubmed/28408412
http://dx.doi.org/10.1523/JNEUROSCI.2478-16.2017
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