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Dynamical prefrontal population coding during defensive behaviours

Author

Listed:
  • Daniel Jercog

    (Neurocentre Magendie
    INSERM, Neurocentre Magendie)

  • Nanci Winke

    (Neurocentre Magendie
    INSERM, Neurocentre Magendie)

  • Kibong Sung

    (Neurocentre Magendie
    INSERM, Neurocentre Magendie
    Pohang University of Science and Technology (POSTECH))

  • Mario Martin Fernandez

    (Neurocentre Magendie
    INSERM, Neurocentre Magendie)

  • Claire Francioni

    (Neurocentre Magendie
    INSERM, Neurocentre Magendie)

  • Domitille Rajot

    (Neurocentre Magendie
    INSERM, Neurocentre Magendie)

  • Julien Courtin

    (Neurocentre Magendie
    INSERM, Neurocentre Magendie
    Friedrich Miescher Institute for Biomedical Research)

  • Fabrice Chaudun

    (Neurocentre Magendie
    INSERM, Neurocentre Magendie
    University of Geneva)

  • Pablo E. Jercog

    (Universitat de Barcelona)

  • Stephane Valerio

    (Neurocentre Magendie
    INSERM, Neurocentre Magendie
    Aquineuro SAS)

  • Cyril Herry

    (Neurocentre Magendie
    INSERM, Neurocentre Magendie)

Abstract

Coping with threatening situations requires both identifying stimuli that predict danger and selecting adaptive behavioural responses to survive1. The dorsomedial prefrontal cortex (dmPFC) is a critical structure that is involved in the regulation of threat-related behaviour2–4. However, it is unclear how threat-predicting stimuli and defensive behaviours are associated within prefrontal networks to successfully drive adaptive responses. Here we used a combination of extracellular recordings, neuronal decoding approaches, pharmacological and optogenetic manipulations to show that, in mice, threat representations and the initiation of avoidance behaviour are dynamically encoded in the overall population activity of dmPFC neurons. Our data indicate that although dmPFC population activity at stimulus onset encodes sustained threat representations driven by the amygdala, it does not predict action outcome. By contrast, transient dmPFC population activity before the initiation of action reliably predicts avoided from non-avoided trials. Accordingly, optogenetic inhibition of prefrontal activity constrained the selection of adaptive defensive responses in a time-dependent manner. These results reveal that the adaptive selection of defensive responses relies on a dynamic process of information linking threats with defensive actions, unfolding within prefrontal networks.

Suggested Citation

  • Daniel Jercog & Nanci Winke & Kibong Sung & Mario Martin Fernandez & Claire Francioni & Domitille Rajot & Julien Courtin & Fabrice Chaudun & Pablo E. Jercog & Stephane Valerio & Cyril Herry, 2021. "Dynamical prefrontal population coding during defensive behaviours," Nature, Nature, vol. 595(7869), pages 690-694, July.
  • Handle: RePEc:nat:nature:v:595:y:2021:i:7869:d:10.1038_s41586-021-03726-6
    DOI: 10.1038/s41586-021-03726-6
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    Cited by:

    1. Masakazu Agetsuma & Issei Sato & Yasuhiro R. Tanaka & Luis Carrillo-Reid & Atsushi Kasai & Atsushi Noritake & Yoshiyuki Arai & Miki Yoshitomo & Takashi Inagaki & Hiroshi Yukawa & Hitoshi Hashimoto & J, 2023. "Activity-dependent organization of prefrontal hub-networks for associative learning and signal transformation," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    2. Joao Barbosa & Rémi Proville & Chris C. Rodgers & Michael R. DeWeese & Srdjan Ostojic & Yves Boubenec, 2023. "Early selection of task-relevant features through population gating," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    3. Ziyan Huang & Myung Chung & Kentaro Tao & Akiyuki Watarai & Mu-Yun Wang & Hiroh Ito & Teruhiro Okuyama, 2023. "Ventromedial prefrontal neurons represent self-states shaped by vicarious fear in male mice," Nature Communications, Nature, vol. 14(1), pages 1-16, December.

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