Dorsal raphe stimulation differentially modulates dopaminergic neurons in the ventral tegmental area and substantia nigra
Bibliographic record
Abstract
The serotoninergic (5-HT) input from the dorsal raphe nucleus (DRN) to midbrain dopamine (DA) neurons is one of the most prominent. In this study, using standard extracellular single cell recording techniques we investigated the effects of electrical stimulation of the DRN on the spontaneous activity of substantia nigra pars compacta (SNpc) and ventral tegmental area (VTA) DA neurons in anesthetized rats. Poststimulus time histograms (PSTH) revealed two different types of response in both SNpc and VTA. Some cells exhibited an inhibition-excitation response while in other DA neurons the initial response was an excitation followed by an inhibition. In SNpc, 56% of the DA cells recorded were initially inhibited and 31% of the DA cells were initially excited. In contrast, 63% of VTA DA cells were initially excited and 34% were initially inhibited. Depletion of endogenous 5-HT by the neurotoxin, 5,7-dihydroxytryptamine (5,7-DHT), and the 5-HT synthesis inhibitor para-chlorophenylalanine (PCPA), almost completely eliminated the inhibition-excitation response in both SNpc and VTA DA cells, without changing the percentage of DA cells initially excited. Consequently, the proportion of DA neurons that were not affected by DR stimulation increased after 5-HT depletion (from 13% to 60% in SNpc and from 6% to 31% in VTA). In several DA cells, DRN stimulation caused important changes in firing rate and firing pattern. These data strongly suggest that the 5-HT input from the DRN is mainly inhibitory. It also suggests that 5-HT afferences modulate SNpc and VTA DA neurons in an opposite manner. Our results also suggest that non-5-HT inputs from DR can also modulate mesencephalic DA neurons. A differential modulation of VTA and SNpc DA neurons by 5-HT afferences from the DRN could have important implications for the development of drugs to treat schizophrenia or other neurologic and psychiatric diseases in which DA neurons are involved.
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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".