Examining changes in rodent temperament following repetitive mild traumatic brain injury in adolescence.
Bibliographic record
Abstract
Mild traumatic brain injuries are known to cause a host of symptoms, including headaches, nausea, and depression, that when persistent, are known as postconcussive syndrome. In addition to these overt symptomologies, individuals may experience changes in day-to-day behavior or temperament, which although not meeting criteria for postconcussive diagnosis, does cause distress to the individual. The aim of this study was to determine whether we could measure temperament in a rat and, if so, determine whether temperament is altered in response to repetitive mild traumatic brain injuries (RmTBI). Forty male and female adolescent Sprague-Dawley rats were same-sex pair housed and subjected to RmTBIs or sham injuries. The rats were recorded at 6 different time points throughout the study for the temperament assessment protocol, a measure of the complex behavioral profile of each rat within its dyadic home cage environment. The temperaments were quantified via a novel behavioral scoring algorithm. The rats were also tested on a battery of tests that were designed to measure symptoms of postconcussion syndrome. We determined that rodent temperament is quantifiable, is sex dependent, changes with age, and is modifiable in response to experiential factors such as RmTBI. Rats that received the RmTBIs were significantly less active and showed decreased levels of social interaction compared with their sham-injury counterparts. Moreover, both task switching and recovery patterns for RmTBI rats were dependent on the injury status of their cage mates. Future studies are now required to determine the mechanisms underlying these important changes in temperament. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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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) | 0.001 | 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".