Regulation of the expression of the cholinergic receptors in the visual cortex following long-term enhancement of visual cortical activity by cholinergic stimulation
Bibliographic record
Abstract
The muscarinic and nicotinic transmissions in the primary visual cortex (V1) are involved in the enhancement of specific visual stimuli as well as long-term modifications of the neuronal processing, in regards to perceptual learning. We investigated the involvement of the different cholinergic receptors subtypes underlying this long-term functional plasticity using RT-PCR and recording of visual evoked potentials (VEPs). Perceptual learning-like test was performed by exposing awaken rats to a visual stimulation (VS) - a sinusoidal grating (30°, 0.12cpd) - for 10min/day during 14days. This VS was provided alone or coupled to an electrical stimulation of the basal forebrain which sends cholinergic projections to V1 (HDB/VS) or paired with a cholinesterase inhibitor (donepezil, 1mg/kg injected 30min prior to visual exposure) to enhance cholinergic transmission in V1 (DONEP/VS). One week after the last training session, VEPs were recorded and the cortices encompassing V1 were collected to determine the expression level of mRNA of muscarinic (M1-5) and nicotinic (α/β) receptors sub-units by RT-PCR. VS coupled to pharmacological or electrical stimulation of the cholinergic system produced a significant enhancement of the cortical response, as shown by VEP recordings. Two weeks of VS treatment alone caused an increase of the expression of M3 and M5 mRNA suggesting an increase of their production and activity during long-term visual stimulation. In the HDB/VS group, α3 sub-unit was decreased suggesting its involvement in phasic cholinergic stimulation. The DONEP/VS treatment presented a decrease in the expression of M2, suggesting a down regulation of mRNA synthesis. This could indicate an increased cortico-cortical inhibition, as M2 receptors are located massively on the GABAergic neurons. Therefore, even with similar functional enhancement, the cholinergic receptors regulation differs between an electrical and a pharmacological treatment. These results are crucial for determining which receptors are the most involved in the pharmacological cholinergic stimulation to enhance visual perception. Meeting abstract presented at VSS 2015
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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 | 0.001 |
| 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".