Human stereoEEG recordings reveal network dynamics of decision-making in a rule-switching task
Marije ter Wal (),
Artem Platonov,
Pasquale Cardellicchio,
Veronica Pelliccia,
Giorgio LoRusso,
Ivana Sartori,
Pietro Avanzini,
Guy A. Orban and
Paul H. E. Tiesinga
Additional contact information
Marije ter Wal: Donders Institute, Radboud University
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
Nature Communications, 2020, vol. 11, issue 1, 1-12
Abstract:
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.
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16854-w
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DOI: 10.1038/s41467-020-16854-w
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