Activity-dependent organization of prefrontal hub-networks for associative learning and signal transformation.

ABSTRACT: Associative learning is crucial for adapting to environmental changes. Interactions among neuronal populations involving the dorso-medial prefrontal cortex (dmPFC) are proposed to regulate associative learning, but how these neuronal populations store and process information about the association remains unclear. Here we developed a pipeline for longitudinal two-photon imaging and computational dissection of neural population activities in male mouse dmPFC during fear-conditioning procedures, enabling us to detect learning-dependent changes in the dmPFC network topology. Using regularized regression methods and graphical modeling, we found that fear conditioning drove dmPFC reorganization to generate a neuronal ensemble encoding conditioned responses (CR) characterized by enhanced internal

SUBMITTER: Agetsuma M 

PROVIDER: S-EPMC10558457 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature