Brain-wide activity-identity mapping of neural networks associated with prosocial motivation in rats
Bibliographic record
Abstract
Summary A prosocial response to others in distress is an important driver of behavior across social species. To investigate the neurobiological mechanism leading to prosocial behavior, we use a helping behavior test wherein rats may release a trapped conspecific by opening a restrainer door. To ensure rats were not acting for social interaction, a separation divider prevented post-release contact (“ separated ” test). Despite the divider, most rats consistently opened the restrainer, demonstrating prosocial motivation. Brain-wide c-Fos analysis conducted via our opensource software "Brainways", revealed activity in empathy-related regions, including the anterior cingulate and insular cortices. Nucleus accumbens activity, previously recorded during helping, was not significant in the “separated” test . Chemogenetic manipulations of the accumbens did not prevent helping, suggesting that its activity reflects contact seeking. Mapping of oxytocin and dopamine receptors on active cells revealed region-specific recruitment of these subpopulations, depending on the social context. Network connectivity analysis highlights context-dependent functional subcircuits.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".