GABAergic neurons in medial prefrontal cortex and ventral hippocampus encode information about reward history in male mice

Prevailing views of reward encoding focus on excitatory neurons with GABAergic interneurons relegated to a supporting role, overlooking their potential to independently encode information. Here we simultaneously examine reward encoding in GABAergic interneurons in medial prefrontal cortex (mPFC) and ventral hippocampus (vHip) in male mice, regions in which glutamatergic neurons integrate outcomes to modulate task engagement. We find a common state-sensitive encoding motif in GABAergic neurons whereby relative suppression of neural activity maps onto outcome history. Decomposing behavior into bouts of exploration and exploitation, we find that exploration gates encoding of outcome history in both mPFC and vHip GABAergic neurons. Globally, interneuron activity in both regions predicted engagement independent of state, but choice prediction was state-dependent and distributed between mPFC and vHip. Overall, these findings indicate that GABAergic neurons also participate in outcome encoding, with behavioral state shaping their role in reward-processing circuits guiding reward-motivated behavior.

Authors

Institutions

Publication Details

Journal
Cell Reports
Published
2026-06-29
DOI
https://doi.org/10.1016/j.celrep.2026.117617
Primary Topic
Memory and Neural Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GABAergic neurons in medial prefrontal cortex and ventral hippocampus encode information about reward history in male mice

R. Becket Ebitz, Vedrana Cvetkovska, Eshaan S Iyer, Joëlle Lopez et al.
Cell Reports
Memory and Neural Mechanisms
article

GABAergic neurons in medial prefrontal cortex and ventral hippocampus encode information about reward history in male mice

R. Becket Ebitz, Vedrana Cvetkovska, Eshaan S Iyer, Joëlle Lopez, Rosemary C. Bagot
article en

Abstract

Prevailing views of reward encoding focus on excitatory neurons with GABAergic interneurons relegated to a supporting role, overlooking their potential to independently encode information. Here we simultaneously examine reward encoding in GABAergic interneurons in medial prefrontal cortex (mPFC) and ventral hippocampus (vHip) in male mice, regions in which glutamatergic neurons integrate outcomes to modulate task engagement. We find a common state-sensitive encoding motif in GABAergic neurons whereby relative suppression of neural activity maps onto outcome history. Decomposing behavior into bouts of exploration and exploitation, we find that exploration gates encoding of outcome history in both mPFC and vHip GABAergic neurons. Globally, interneuron activity in both regions predicted engagement independent of state, but choice prediction was state-dependent and distributed between mPFC and vHip. Overall, these findings indicate that GABAergic neurons also participate in outcome encoding, with behavioral state shaping their role in reward-processing circuits guiding reward-motivated behavior.

Cell ReportsVol. 45(7)
McGill University Health Centre (CA), McGill University (CA), Université de Montréal (CA)
Ludmer Centre for Neuroinformatics and Mental Health, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 7%
Memory and Neural Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

GABAergic neurons in medial prefrontal cortex and ventral hippocampus encode information about reward history in male mice — R. Becket Ebitz, Vedrana Cvetkovska, et al. · Cell Reports (2026) | TGRS Research Map | TGRS