Pallidal prototypic neuron and astrocyte activities regulate flexible reward-seeking behaviors
Kang, S.; Yang, M. A.; Bennett, A.; Kang, S.; Lee, S. W.; Choi, D.-S.
Show abstract
Behavioral flexibility allows animals to adjust actions to changing environments. While the basal ganglia are critical for adaptation, the specific role of the external globus pallidus (GPe) is unclear. This study examined the contributions of two major GPe cell types--prototypic neurons projecting to the subthalamic nucleus (ProtoGPe[->]STN neurons) and astrocytes--to behavioral flexibility. Using longitudinal operant conditioning with context reversals, we found that ProtoGPe[->]STN neurons dynamically represent contextual information correlating with behavioral optimality. In contrast, GPe astrocytes exhibited gradual contextual encoding independent of performance. Deleting ProtoGPe[->]STN neurons impaired adaptive responses to changing action-outcome contingencies without altering initial reward-seeking acquisition, highlighting their specific role in enabling behavioral flexibility. Furthermore, we discovered that ProtoGPe[->]STN neurons integrate inhibitory striatal and excitatory subthalamic inputs, modulating downstream basal ganglia circuits to support flexible behavior. This research elucidates the complementary roles of ProtoGPe[->]STN neurons and astrocytes in cellular mechanisms of flexible reward-seeking behavior.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Mixed representations of choice direction and outcome by GABA/glutamate cotransmitting neurons in the entopeduncular nucleus 98%
- Response outcome gates the effect of spontaneous cortical state fluctuations on perceptual decisions 98%
- Role of Posterior Medial Thalamus in the Modulation of Striatal Circuitry and Choice Behavior 98%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.