Maternal Separation Exhibits a Sex Dimorphism in Memory Impairments in Adolescent Rats: Acute Methylphenidate Administration as a Treatment
Bibliographic record
Abstract
INTRODUCTION: Rodents are highly dependent on maternal care after birth. Disturbing mother and pup interactions leads to detrimental alternations for the rat and the mother. Maternal separation (MS) is an accepted model for investigating disruption of mother and pup relationship. In addition to other detrimental effects, MS is a model known to induce permanent changes in learning and memory. Methylphenidate has been effective in memory enhancement in individuals suffering from memory deficits, attention-deficit hyperactive disorder (ADHD), as well as healthy subjects for better performance in exams. MATERIAL AND METHODS: In this research, a 21-day separation for 3 h was implemented, and the effects of MS on spatial and passive avoidance learning, and memory were evaluated in the mid-adolescence period of rats, in both males and females. Also, a drug intervention of a high therapeutic dose of 5 mg per kg was used in a five-day period in different control and MS groups. Morris water maze was utilized for spatial learning and memory analysis, and a shuttle box paradigm was used for passive avoidance learning and memory. RESULTS: Through our behavioral tests, we have shown that MS can alter spatial learning and memory in males. On the other hand, females are protected from the detrimental effects of MS on spatial learning and memory. Furthermore, passive avoidance learning was not different among groups, be it male or female. However, in the case of memory evaluation in the passive avoidance test, the male did not exhibit a significant difference in step-through latency. However, maternally separated females had poor performance in the memory phase with shorter step-through latencies. CONCLUSION: Methylphenidate compensated for the deleterious effects of MS on learning and spatial memory for the male group and passive avoidance memory in the female group at the behavioral level.
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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) | 0.002 | 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".