Cited by 202Neural and Behavioral Psychology StudiesCognitive Abilities and TestingNeural dynamics and brain function

Prefrontal Cortical Mechanisms Underlying Individual Differences in Cognitive Flexibility and Stability

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Armbruster, Diana J. N., Ueltzhöffer, Kai, Basten, Ulrike, Fiebach, Christian J.·2012·Journal of Cognitive Neuroscience

Abstract

The pFC is critical for cognitive flexibility (i.e., our ability to flexibly adjust behavior to changing environmental demands), but also for cognitive stability (i.e., our ability to follow behavioral plans in the face of distraction). Behavioral research suggests that individuals differ in their cognitive flexibility and stability, and neurocomputational theories of working memory relate this variability to the concept of attractor stability in recurrently connected neural networks. We introduce a novel task paradigm to simultaneously assess flexible switching between task rules (cognitive flexibility) and task performance in the presence of irrelevant distractors (cognitive stability) and to furthermore assess the individual "spontaneous switching rate" in response to ambiguous stimuli to quantify the individual dispositional cognitive flexibility in a theoretically motivated way (i.e., as a proxy for attractor stability). Using fMRI in healthy human participants, a common network consisting of parietal and frontal areas was found for task switching and distractor inhibition. More flexible persons showed reduced activation and reduced functional coupling in frontal areas, including the inferior frontal junction, during task switching. Most importantly, the individual spontaneous switching rate antagonistically affected the functional coupling between inferior frontal junction and the superior frontal gyrus during task switching and distractor inhibition, respectively, indicating that individual differences in cognitive flexibility and stability are indeed related to a common prefrontal neural mechanism. We suggest that the concept of attractor stability of prefrontal working memory networks is a meaningful model for individual differences in cognitive stability versus flexibility.

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Authors
Armbruster, D. J. N., Ueltzhöffer, K., Basten, U., & Fiebach, C. J.
Affiliations
  • 1Goethe University Frankfurt am Main
  • Goethe University Frankfurt (DE)
Venue
Journal of Cognitive Neuroscience
Publisher
MIT Press
Published
2012-12-01
Volume
24
Issue
12
Pages
2385-2399
ISSN
  • 0898-929X (ISSN-L)
  • 1530-8898
OpenAlex
W2139146306
Cited by
202
References
86
Citations by year
2026: 11 · 2025: 28 · 2024: 29 · 2023: 20 · 2022: 17 · 2021: 19 · 2020: 15 · 2019: 21 · 2018: 10 · 2017: 8 · 2016: 7 · 2015: 9 · 2014: 5 · 2013: 1
FWCI
2.45
Type
journal article
Language
en
Open access
Locations
  • Journal of Cognitive Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
  • Radboud Repository (Radboud University) (submittedVersion, other-oa)
Funders
  • Deutsche Forschungsgemeinschaft (FI 848/3-1, DFG FI 848/3-1)
  • Bundesministerium für Bildung und Forschung (01GQ1003A)
  • Goethe-Universität Frankfurt am Main
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
cognitive flexibility, cognitive stability, individual differences, prefrontal cortex, task switching, distractor inhibition, attractor stability, working memory, inferior frontal junction, superior frontal gyrus, functional coupling, recurrent neural networks, neurocomputational model
MeSH terms
Adult, Analysis of Variance, Cognition, Cues, Female, Fixation, Ocular, Humans, Individuality, Magnetic Resonance Imaging, Male, Nerve Net, Neural Pathways, Psychomotor Performance, Reaction Time, Prefrontal Cortex, Young Adult

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