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Specialized coding patterns among dorsomedial prefrontal neuronal ensembles predict conditioned reward seeking.
Grant, Roger I; Doncheck, Elizabeth M; Vollmer, Kelsey M; Winston, Kion T; Romanova, Elizaveta V; Siegler, Preston N; Holman, Heather; Bowen, Christopher W; Otis, James M.
Affiliation
  • Grant RI; Department of Neuroscience, Medical University of South Carolina, Charleston, United States.
  • Doncheck EM; Department of Neuroscience, Medical University of South Carolina, Charleston, United States.
  • Vollmer KM; Department of Neuroscience, Medical University of South Carolina, Charleston, United States.
  • Winston KT; Department of Neuroscience, Medical University of South Carolina, Charleston, United States.
  • Romanova EV; Department of Neuroscience, Medical University of South Carolina, Charleston, United States.
  • Siegler PN; Department of Neuroscience, Medical University of South Carolina, Charleston, United States.
  • Holman H; Department of Neuroscience, Medical University of South Carolina, Charleston, United States.
  • Bowen CW; Department of Neuroscience, Medical University of South Carolina, Charleston, United States.
  • Otis JM; Department of Neuroscience, Medical University of South Carolina, Charleston, United States.
Elife ; 102021 06 29.
Article in En | MEDLINE | ID: mdl-34184635
ABSTRACT
Non-overlapping cell populations within dorsomedial prefrontal cortex (dmPFC), defined by gene expression or projection target, control dissociable aspects of reward seeking through unique activity patterns. However, even within these defined cell populations, considerable cell-to-cell variability is found, suggesting that greater resolution is needed to understand information processing in dmPFC. Here, we use two-photon calcium imaging in awake, behaving mice to monitor the activity of dmPFC excitatory neurons throughout Pavlovian reward conditioning. We characterize five unique neuronal ensembles that each encodes specialized information related to a sucrose reward, reward-predictive cues, and behavioral responses to those cues. The ensembles differentially emerge across daily training sessions - and stabilize after learning - in a manner that improves the predictive validity of dmPFC activity dynamics for deciphering variables related to behavioral conditioning. Our results characterize the complex dmPFC neuronal ensemble dynamics that stably predict reward availability and initiation of conditioned reward seeking following cue-reward learning.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Glucose / Mitochondria / Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Elife Year: 2021 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Glucose / Mitochondria / Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Elife Year: 2021 Document type: Article Affiliation country: United States
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