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Attention control ability is associated with frontoparietal control network interactions.

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Title: Attention control ability is associated with frontoparietal control network interactions.
Authors: Seeburger, Dolly T.1 dseeburger3@gatech.edu, Tsukahara, Jason S.2, Xu, Nan3, Ahluwalia, Vishwadeep4, Keilholz, Shella D.5, Engle, Randall W.1 randall.engle@gatech.edu
Source: Proceedings of the National Academy of Sciences of the United States of America. 5/12/2026, Vol. 123 Issue 19, p1-8. 8p.
Subjects: Frontoparietal network, Large-scale brain networks, Control (Psychology), Cognitive flexibility, Functional magnetic resonance imaging, Cognitive load, Default mode network, Short-term memory
Abstract: Attention control predicts academic achievement, professional success, and health outcomes. However, the neural basis of stable, individual differences in attention control remains unclear. Prior research has emphasized momentary fluctuations in attentional engagement, often overlooking enduring individual differences. Here, we applied the quasi-periodic pattern analysis of infraslow functional magnetic resonance imaging (fMRI) dynamics in a large sample (N = 196) to test whether trait attention control is reflected in network-level brain activity as well as the locus coeruleus (LC). Using latent-variable measures of attention control, working memory capacity, and fluid intelligence, we isolated the unique contribution of attention control across rest, 1-back, and 3-back conditions. As cognitive demand increased, individuals with higher attention control exhibited more coordinated activity of the frontoparietal control network (FPCN): they showed enhanced coupling with the dorsal attention network (DAN), and greater engagement with the LC and stronger decoupling from the default mode network (DMN). Even at rest, high attention individuals demonstrated stronger FPCN–DAN coupling and little to no correlation between FPCN–DMN, indicating that attentional capacity is reflected in both task-evoked reconfiguration and baseline network architecture. These findings reveal how attention control, as an ability, is instantiated in the brain’s dynamic architecture. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Attention control ability is associated with frontoparietal control network interactions.
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  Data: <searchLink fieldCode="AR" term="%22Seeburger%2C+Dolly+T%2E%22">Seeburger, Dolly T.</searchLink><relatesTo>1</relatesTo><i> dseeburger3@gatech.edu</i><br /><searchLink fieldCode="AR" term="%22Tsukahara%2C+Jason+S%2E%22">Tsukahara, Jason S.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Xu%2C+Nan%22">Xu, Nan</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Ahluwalia%2C+Vishwadeep%22">Ahluwalia, Vishwadeep</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Keilholz%2C+Shella+D%2E%22">Keilholz, Shella D.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Engle%2C+Randall+W%2E%22">Engle, Randall W.</searchLink><relatesTo>1</relatesTo><i> randall.engle@gatech.edu</i>
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  Data: <searchLink fieldCode="DE" term="%22Frontoparietal+network%22">Frontoparietal network</searchLink><br /><searchLink fieldCode="DE" term="%22Large-scale+brain+networks%22">Large-scale brain networks</searchLink><br /><searchLink fieldCode="DE" term="%22Control+%28Psychology%29%22">Control (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+flexibility%22">Cognitive flexibility</searchLink><br /><searchLink fieldCode="DE" term="%22Functional+magnetic+resonance+imaging%22">Functional magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+load%22">Cognitive load</searchLink><br /><searchLink fieldCode="DE" term="%22Default+mode+network%22">Default mode network</searchLink><br /><searchLink fieldCode="DE" term="%22Short-term+memory%22">Short-term memory</searchLink>
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  Data: Attention control predicts academic achievement, professional success, and health outcomes. However, the neural basis of stable, individual differences in attention control remains unclear. Prior research has emphasized momentary fluctuations in attentional engagement, often overlooking enduring individual differences. Here, we applied the quasi-periodic pattern analysis of infraslow functional magnetic resonance imaging (fMRI) dynamics in a large sample (N = 196) to test whether trait attention control is reflected in network-level brain activity as well as the locus coeruleus (LC). Using latent-variable measures of attention control, working memory capacity, and fluid intelligence, we isolated the unique contribution of attention control across rest, 1-back, and 3-back conditions. As cognitive demand increased, individuals with higher attention control exhibited more coordinated activity of the frontoparietal control network (FPCN): they showed enhanced coupling with the dorsal attention network (DAN), and greater engagement with the LC and stronger decoupling from the default mode network (DMN). Even at rest, high attention individuals demonstrated stronger FPCN–DAN coupling and little to no correlation between FPCN–DMN, indicating that attentional capacity is reflected in both task-evoked reconfiguration and baseline network architecture. These findings reveal how attention control, as an ability, is instantiated in the brain’s dynamic architecture. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1073/pnas.2526828123
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        Text: English
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        Type: general
      – SubjectFull: Large-scale brain networks
        Type: general
      – SubjectFull: Control (Psychology)
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      – SubjectFull: Cognitive flexibility
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      – SubjectFull: Functional magnetic resonance imaging
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      – SubjectFull: Cognitive load
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      – SubjectFull: Short-term memory
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      – TitleFull: Attention control ability is associated with frontoparietal control network interactions.
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              Text: 5/12/2026
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              Y: 2026
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