Early‐Life Ventral Hippocampal Lesion and Circadian Disruption Result in Altered Behavior in Adult Mice in a Sex‐Dependent Manner
Bibliographic record
Abstract
Schizophrenia is believed to arise because of the interaction of early abnormal neurodevelopment with environmental insults during key developmental stages later in life. Furthermore, disrupted circadian rhythms are reported in patients, and circadian disruption is associated with increased symptom severity, hinting at its role as a risk factor. Using the neonatal ventral hippocampal lesion mouse model, we aimed to assess the interaction between disrupted ventral hippocampal development with circadian disruption during adolescence in affecting behavior in male and female C57BL/6N mice. After conducting a series of behavioral tests, we found that the neonatal ventral hippocampal lesion and chronic jet lag during adolescence synergistically led to increased anxiety-like behavior in males. In females, the lesion prevented increased social preference caused by chronic jet lag and led to increased anxiety-like behavior. Mice were then moved to running wheel cages to measure their locomotor activity rhythms. We found that the lesioned male mice exposed to chronic jet lag exhibited fragmented rhythms under constant darkness. Moreover, lesioned male and female mice, especially those exposed to chronic jet lag, had reduced activity counts under constant light. These findings highlight that the interaction of abnormal neurodevelopment in areas relevant to schizophrenia with circadian disruption during adolescence results in lasting behavioral changes in a sex-dependent manner in mice.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".