Memory and cognitive coordination impairment in rat models of neuropsychiatric diseases
Bibliographic record
Abstract
The memory and spatial navigation are extremely important brain functions for humans, but they are often the question of life and death for animals. In humans, memory can be disrupted by various neuropsychiatric disorders. The patients suffering from Alzheimer's dementia (AD) have impaired working and long-term memory, spatial navigation, higher cognitive functions and social memory. The deficit of cognitive coordination (the skill to recognize the relevancy of incoming information) and disorientation belong to the symptomatology of schizophrenia. Intelectual disability appears in some patients with autism spectrum disorder. Unfortunately, it is not possible to cure these disorders efficiently because the etiology is not known in the majority of patients. The causes leading to development of these disorders could be revealed using animal models. This thesis contributes to the characterization of the cognitive skills disruptions - as well as other behavioral alterations - in selected rat models of AD (transgenic McGill rat, non-transgenic Samaritan rat) and schizophrenia (lipopolysaccharide model of early postnatal, or prenatal, bacterial infection). The thesis also discusses the validity and limitations of these models. Our results showed a severe deficit of spatial navigation, learning and...
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".