Marked dissociation between high noradrenaline versus low noradrenaline transporter levels in human nucleus accumbens
Bibliographic record
Abstract
We recently identified a noradrenaline-rich caudomedial subdivision of the human nucleus accumbens (NACS), implying a special function for noradrenaline in this basal forebrain area involved in motivation and reward. To establish whether the NACS, as would be expected, contains similarly high levels of other noradrenergic markers, we measured dopamine-beta-hydroxylase (DBH) and noradrenaline transporter in the accumbens and, for comparison, in 23 other brain regions in autopsied human brains by immunoblotting. Although the caudomedial NACS had high DBH levels similar to those in other noradrenaline-rich areas, the noradrenaline transporter concentration was low (only 11% of that in hypothalamus). Within the accumbens, transporter concentration in the caudal portion was only slightly (by 30%) higher than that in the rostral subdivisions despite sharply increasing rostrocaudal gradients of noradrenaline (15-fold) and DBH. In contrast, the rostrocaudal gradient in the accumbens for the serotonin transporter and serotonin were similar (2-fold increase). The caudomedial NACS thus appears to represent the only instance in human brain having a striking mismatch in high levels of a monoamine neurotransmitter versus low levels of its uptake transporter. This suggests that noradrenaline signalling is much less spatially and temporally restricted in the caudomedial accumbens than in other noradrenaline-rich brain areas.
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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".