Effect of social isolation on anxiety-related behaviors, cortisol, and monoamines in adult zebrafish.
Bibliographic record
Abstract
Social isolation can be used to study behavioral, neural, and hormonal mechanisms that regulate interactions in social animals. Although isolation effects have been reported in social mammals and various fish species, systematic studies with isolated zebrafish are rare. Here, the authors examined behavior (social and nonsocial), physiological stress (whole-body cortisol levels), and neurochemicals (serotonin, dopamine, and their metabolites), following acute and chronic social isolation in adult zebrafish. To observe how isolated fish respond behaviorally to social stimuli, they exposed zebrafish to live conspecifics or animated images after acute (24 hr) or chronic (6 months) social isolation. The authors observed that isolation did not affect locomotor activity, but acute isolation had weak nonsignificant anxiogenic effects in adult zebrafish. They also found that all isolated fish responded to both live and animated social stimuli, and the stress hormone, cortisol was lower in chronically isolated fish. Finally, neurochemical analyses showed that serotonin levels increased when fish were exposed to social stimulus after acute isolation, but its metabolite 5HIAA decreased in response to social stimulus following both acute and chronic isolation. Levels of both dopamine and its metabolite DOPAC were also reduced in fish exposed to social stimulus after acute and chronic isolation. Overall, these results show that isolation in zebrafish is an effective tool to study fundamental mechanisms controlling social interaction at behavioral and physiological levels. (PsycINFO Database Record
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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) | 0.002 | 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".