The Effects of Chronic Lysergic Acid Diethylamide Exposure and Withdrawal in Zebrafish
Bibliographic record
Abstract
Zebrafish (Danio rerio) are an excellent model for neuroscience research due to the similarities in neurochemistry they share with humans. Zebrafish are a good model for anxiety research as they are highly anxious prey species. In addition, cortisol is the primary stress hormone in both humans and zebrafish. This enables researchers to study the relationship between neurotransmitter systems and hallucinogenic drugs. There has been little research into hallucinogens due to their reputation as drugs of abuse and focusing on their benefits is a recent development. The few studies conducted on acute lysergic acid diethylamide (LSD) exposure in zebrafish has shown a significant anxiolytic effects. The current study involves chronic exposure of zebrafish to LSD. Subjects will be randomly assigned to a low or high dose of either 100 μg/L or 250 μg/L for 11 days and behaviour in the open field test will be assessed on the 11th and 18th day. Based on past research, since fish have experienced a decrease in anxiety when exposed to LSD, the withdrawal will elicit a rebound effect. This research will increase understanding of hallucinogens and their potential therapeutic application in disorders such as anxiety. Future research should address the nature of chronic exposure of lower doses as well as the effect hallucinogens have on treating addiction disorders. Presented in absentia on April 27, 2020 at Student Research Day at MacEwan University in Edmonton, Alberta. (Conference cancelled) Faculty Mentor: Melike Schalomon Department: Psychology NOTE: This work is available to MacEwan users only at https://roam.macewan.ca/islandora/object/gm:2102
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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 | 0.001 |
| 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) | 0.003 | 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".