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The Stroop effect involves an excitatory–inhibitory fronto-cerebellar loop

Author

Listed:
  • Moe Okayasu

    (Keio University)

  • Tensei Inukai

    (Keio University)

  • Daiki Tanaka

    (Keio University)

  • Kaho Tsumura

    (Keio University)

  • Reiko Shintaki

    (Keio University)

  • Masaki Takeda

    (Kochi University of Technology)

  • Kiyoshi Nakahara

    (Kochi University of Technology)

  • Koji Jimura

    (Keio University
    Kochi University of Technology
    Gunma University)

Abstract

The Stroop effect is a classical, well-known behavioral phenomenon in humans that refers to robust interference between language and color information. It remains unclear, however, when the interference occurs and how it is resolved in the brain. Here we show that the Stroop effect occurs during perception of color–word stimuli and involves a cross-hemispheric, excitatory–inhibitory loop functionally connecting the lateral prefrontal cortex and cerebellum. Participants performed a Stroop task and a non-verbal control task (which we term the Swimmy task), and made a response vocally or manually. The Stroop effect involved the lateral prefrontal cortex in the left hemisphere and the cerebellum in the right hemisphere, independently of the response type; such lateralization was absent during the Swimmy task, however. Moreover, the prefrontal cortex amplified cerebellar activity, whereas the cerebellum suppressed prefrontal activity. This fronto–cerebellar loop may implement language and cognitive systems that enable goal-directed behavior during perceptual conflicts.

Suggested Citation

  • Moe Okayasu & Tensei Inukai & Daiki Tanaka & Kaho Tsumura & Reiko Shintaki & Masaki Takeda & Kiyoshi Nakahara & Koji Jimura, 2023. "The Stroop effect involves an excitatory–inhibitory fronto-cerebellar loop," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-022-35397-w
    DOI: 10.1038/s41467-022-35397-w
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    References listed on IDEAS

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    1. Will D Penny & Klaas E Stephan & Jean Daunizeau & Maria J Rosa & Karl J Friston & Thomas M Schofield & Alex P Leff, 2010. "Comparing Families of Dynamic Causal Models," PLOS Computational Biology, Public Library of Science, vol. 6(3), pages 1-14, March.
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