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Functional architecture of executive control and associated event-related potentials in macaques

Author

Listed:
  • Amirsaman Sajad

    (Vanderbilt University)

  • Steven P. Errington

    (Vanderbilt University)

  • Jeffrey D. Schall

    (Vanderbilt University
    York University)

Abstract

The medial frontal cortex (MFC) enables executive control by monitoring relevant information and using it to adapt behavior. In macaques performing a saccade countermanding (stop-signal) task, we simultaneously recorded electrical potentials over MFC and neural spiking across all layers of the supplementary eye field (SEF). We report the laminar organization of neurons enabling executive control by monitoring the conflict between incompatible responses, the timing of events, and sustaining goal maintenance. These neurons were a mix of narrow-spiking and broad-spiking found in all layers, but those predicting the duration of control and sustaining the task goal until the release of operant control were more commonly narrow-spiking neurons confined to layers 2 and 3 (L2/3). We complement these results with evidence for a monkey homolog of the N2/P3 event-related potential (ERP) complex associated with response inhibition. N2 polarization varied with error-likelihood and P3 polarization varied with the duration of expected control. The amplitude of the N2 and P3 were predicted by the spike rate of different classes of neurons located in L2/3 but not L5/6. These findings reveal features of the cortical microcircuitry supporting executive control and producing associated ERPs.

Suggested Citation

  • Amirsaman Sajad & Steven P. Errington & Jeffrey D. Schall, 2022. "Functional architecture of executive control and associated event-related potentials in macaques," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33942-1
    DOI: 10.1038/s41467-022-33942-1
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    References listed on IDEAS

    as
    1. Seth W. Egger & Nhat M. Le & Mehrdad Jazayeri, 2020. "A neural circuit model for human sensorimotor timing," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
    2. Veit Stuphorn & Tracy L. Taylor & Jeffrey D. Schall, 2000. "Performance monitoring by the supplementary eye field," Nature, Nature, vol. 408(6814), pages 857-860, December.
    3. Mattia Rigotti & Omri Barak & Melissa R. Warden & Xiao-Jing Wang & Nathaniel D. Daw & Earl K. Miller & Stefano Fusi, 2013. "The importance of mixed selectivity in complex cognitive tasks," Nature, Nature, vol. 497(7451), pages 585-590, May.
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