Claustral Neurons Projecting to Frontal Cortex Mediate Contextual Association of Reward
Bibliographic record
Abstract
The claustrum is a small nucleus, exhibiting vast reciprocal connectivity with cortical, subcortical, and midbrain regions. Recent studies, including ours, implicate the claustrum in salience detection and attention. In the current study, we develop an iterative functional investigation of the claustrum, guided by quantitative spatial transcriptional analysis. Using this approach, we identify a circuit involving dopamine-receptor expressing claustral neurons projecting to frontal cortex necessary for context association of reward. We describe the recruitment of claustral neurons by cocaine and their role in drug sensitization. In order to characterize the circuit within which these neurons are embedded, we apply chemo- and opto-genetic manipulation of increasingly specified claustral subpopulations. This strategy resolves the role of a defined network of claustrum neurons expressing dopamine D1 receptors and projecting to frontal cortex in the acquisition of cocaine conditioned-place preference and real-time optogenetic conditioned-place preference. In sum, our results suggest a role for a claustrum-to-frontal cortex circuit in the attribution of incentive salience, allocating attention to reward-related contextual cues.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".