Choline-mediated depression of hippocampal synaptic transmission
Bibliographic record
Abstract
Choline is a micronutrient essential for the structural integrity of cellular membranes, and its presence at synapses follows either depolarization-induced pre-synaptic release or degradation of acetylcholine. Previous studies using whole-cell recording have shown that choline can modulate inhibitory input to hippocampal pyramidal neurons by acting upon nicotinic acetylcholine receptors (nAChRs) found on interneurons. However, little is known about how choline affects neuronal activity at the population level; therefore, we used extracellular recordings to assess its influence upon synaptic transmission in acutely prepared hippocampal slices. Choline caused a reversible depression of evoked field excitatory post-synaptic potentials (fEPSPs) in a concentration-dependent manner (10, 500, and 1000 µM). When applied after the induction of long-term potentiation, choline-mediated depression (CMD) was still observed, and potentiation returned on wash-out. Complete blockade of CMD could not be achieved with antagonists for the α7 nAChR, to which choline is a full agonist, but was possible with a general nAChR antagonist. The ability of choline to increase paired-pulse facilitation, and the inability of applied gamma-aminobutyric acid (GABA) to mediate further depression of fEPSPs, suggests that the principal mechanism of choline's action was on the facilitation of neurotransmitter release. Our study provides evidence that choline can depress population-level activity, quite likely by facilitating the release of GABA from interneurons, and may thereby influence hippocampal function.
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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) | 0.001 | 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 | 0.001 |
| 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".