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Human stereoEEG recordings reveal network dynamics of decision-making in a rule-switching task

Author

Listed:
  • Marije ter Wal

    (Donders Institute, Radboud University
    University of Birmingham)

  • Artem Platonov

    (University of Parma)

  • Pasquale Cardellicchio

    (University of Parma)

  • Veronica Pelliccia

    (Claudio Munari Center for Epilepsy Surgery, Niguarda Hospital, Ospedale Ca’Granda Niguarda)

  • Giorgio LoRusso

    (Claudio Munari Center for Epilepsy Surgery, Niguarda Hospital, Ospedale Ca’Granda Niguarda)

  • Ivana Sartori

    (Claudio Munari Center for Epilepsy Surgery, Niguarda Hospital, Ospedale Ca’Granda Niguarda)

  • Pietro Avanzini

    (Institute of Neuroscience, CNR)

  • Guy A. Orban

    (University of Parma)

  • Paul H. E. Tiesinga

    (Donders Institute, Radboud University)

Abstract

The processing steps that lead up to a decision, i.e., the transformation of sensory evidence into motor output, are not fully understood. Here, we combine stereoEEG recordings from the human cortex, with single-lead and time-resolved decoding, using a wide range of temporal frequencies, to characterize decision processing during a rule-switching task. Our data reveal the contribution of rostral inferior parietal lobule (IPL) regions, in particular PFt, and the parietal opercular regions in decision processing and demonstrate that the network representing the decision is common to both task rules. We reconstruct the sequence in which regions engage in decision processing on single trials, thereby providing a detailed picture of the network dynamics involved in decision-making. The reconstructed timeline suggests that the supramarginal gyrus in IPL links decision regions in prefrontal cortex with premotor regions, where the motor plan for the response is elaborated.

Suggested Citation

  • Marije ter Wal & Artem Platonov & Pasquale Cardellicchio & Veronica Pelliccia & Giorgio LoRusso & Ivana Sartori & Pietro Avanzini & Guy A. Orban & Paul H. E. Tiesinga, 2020. "Human stereoEEG recordings reveal network dynamics of decision-making in a rule-switching task," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16854-w
    DOI: 10.1038/s41467-020-16854-w
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    Cited by:

    1. Tao Xie & Markus Adamek & Hohyun Cho & Matthew A. Adamo & Anthony L. Ritaccio & Jon T. Willie & Peter Brunner & Jan Kubanek, 2024. "Graded decisions in the human brain," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Maëva Laquitaine & Mircea Polosan & Philippe Kahane & Stephan Chabardes & Jérôme Yelnik & Sara Fernandez-Vidal & Philippe Domenech & Julien Bastin, 2024. "Optimal level of human intracranial theta activity for behavioral switching in the subthalamo-medio-prefrontal circuit," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    3. Jan Weber & Anne-Kristin Solbakk & Alejandro O. Blenkmann & Anais Llorens & Ingrid Funderud & Sabine Leske & Pål Gunnar Larsson & Jugoslav Ivanovic & Robert T. Knight & Tor Endestad & Randolph F. Helf, 2024. "Ramping dynamics and theta oscillations reflect dissociable signatures during rule-guided human behavior," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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