Transient Early Postnatal Neuronal Hyperexcitation Results in Lasting Social Preference Deficits
Bibliographic record
Abstract
Abstract Perturbations during critical periods of neurodevelopment are implicated in the etiology of autism spectrum disorder (ASD), a condition marked by considerable heterogeneity and prevalent comorbidities. One such comorbidity is epilepsy, with approximately 30% of children with ASD experiencing seizures and a similar proportion of children with epilepsy displaying ASD-like symptoms. Both conditions have been associated with disruptions in the brain’s excitation-to-inhibition (E/I) balance. Although early-life seizures in rodents have been linked to social impairments, direct causal evidence connecting E/I imbalance, interneuron development, and social behavior remains limited. To address this gap, we induced transient, brain-wide hyperexcitation in neonatal mice using pentylenetetrazol (PTZ), a GABA_A receptor antagonist. We administered both convulsive and subconvulsive doses and assessed long-term effects on social behavior, cortical E/I balance, and parvalbumin (PV) interneuron development. PTZ-treated groups displayed impaired social preference as measured in the 3-chamber test and increased PV interneuron density within the medial prefrontal cortex. These findings highlight a critical developmental window during which E/I imbalance leads to social deficits characteristic of ASD and epilepsy. They also reveal dose-dependent neurobiological changes, underscoring the importance of early-life neural activity in shaping social circuitry.
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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) | 0.002 | 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".