Electrophysiological analysis of suprachiasmatic nucleus projections to the ventrolateral preoptic area in the rat
Bibliographic record
Abstract
The circadian pacemaker housed in the suprachiasmatic nucleus (SCN) synchronizes daily sleep-wake cycles, presumably by modulating the sleep-wake regulatory system, including ventrolateral preoptic area (VLPO) neurons. We used whole-cell patch-clamp recording to study the projections from the SCN to the VLPO in horizontal slices of rat hypothalamus. Single-pulse stimulation of the SCN region elicited postsynaptic currents (PSCs) in 20 of 66 neurons (30%) recorded within the VLPO region as verified by intracellular biocytin labelling. At a holding potential of -60 mV, the evoked PSCs had an amplitude of 17.6 +/- 3.2 pA (SEM) and a latency of 6.3 +/- 0.5 ms (n = 10). There was a trend for simple excitatory postsynaptic currents (EPSCs) to be evoked in the VLPO cluster, simple inhibitory postsynaptic currents (IPSCs) in the extended VLPO, and a combination of EPSCs and IPSCs in both regions. IPSCs were blocked reversibly by bicuculline (10 microm, n = 11). In both the presence and absence of bicuculline, EPSCs had fast and slow components that were blocked by 6,7-dinitroquinoxaline-2,3-dione (DNQX; 10 microm; n = 7), and (+/-)3-(2-carboxypiperazin-4-yl)-propyl-1-phosphonic acid (CPP; 10 microm, n = 6), respectively. Reversal potentials for the evoked IPSCs and EPSCs were consistent with mediation via GABAA and ionotropic glutamate receptors, respectively. These results suggest that the SCN region provides both inhibitory and excitatory inputs to single VLPO neurons, which are mediated, respectively, by GABAA receptors and by both non-NMDA and NMDA glutamate receptors. These projections may play important roles in conveying circadian input to systems in the preoptic area that regulate sleep and waking.
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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".