Opposing Alterations in Excitation and Inhibition of Layer 5 Medial Prefrontal Cortex Pyramidal Neurons Following Neonatal Ventral Hippocampal Lesion
Bibliographic record
Abstract
Cognitive abnormalities in schizophrenia reflect deficits in prefrontal cortical function, which could be related to attrition of dendritic structures of prefrontal cortical neurons. Schizophrenia-related prefrontal deficits have been modeled in postpubertal neonatal ventral hippocampal lesioned (NVHL) rats, which displayed a loss of dendritic complexity and spines in layer 3 pyramidal neurons in the medial prefrontal cortex (mPFC). The influence of dendritic attrition on synaptic function and neuronal excitability in the mPFC remains poorly understood. Here, we performed electrophysiological recordings of layer 5 mPFC pyramidal neurons from postpubertal (postnatal 40-60 days) NVHL rats and sham-operated controls. We found that the dendritic length, complexity, and spine density of neurobiotin-labeled layer 5 mPFC pyramidal neurons in NVHL rats were significantly lower than those in sham-operated rats. However, the excitability of layer 5 mPFC pyramidal neurons remained unchanged after NVHL. We found no significant changes in the expression of vesicular glutamate and γ-aminobutyric acid transporters after NVHL. Intriguingly, NVHL increased the amplitude of action potential-independent miniature excitatory postsynaptic currents and decreased the frequency of miniature inhibitory postsynaptic currents. These opposing alterations in excitatory and inhibitory synapses, possibly shifting basal synaptic activity toward increased excitation, could be cellular substrates for mPFC functional deficits reported in NVHL rats.
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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".