Social Interaction in Zebrafish: Effects of Social Isolation on Behaviour, Neurochemistry, and Stress
Bibliographic record
Abstract
Characterization and detailed analysis of social behaviour are necessary to further establish zebrafish as a model for developmental disorders such as Autism Spectrum Disorders and Fetal Alcohol Syndrome Disorder. Social isolation has been used as a tool to study regulation of social behaviour in various species before. The purpose of this thesis was to investigate how social isolation (during development or in adulthood) affects subsequent social and non-social behaviours. I also examined neurotransmitter systems associated with social interaction, namely dopamine and serotonin, and stress hormone cortisol, as isolated fish responded to novelty or to social stimuli. I found that life-long developmental isolation increased locomotor activity, and altered responses to social stimuli and dopaminergic metabolite levels. On the other hand, locomotor activity and social responses of socially raised zebrafish remained unchanged after chronic isolation in adulthood, but a reduction in serotonin metabolite levels was found in response to novelty and social interaction. Behavioural and physiological responses of fish isolated in adulthood were also affected by social stimulus type and prior social hierarchy status. Both developmental and chronic adult isolation reduced anxiety-related behaviour, and cortisol levels indicated that long-term social isolation is not stressful in zebrafish. Findings from zebrafish experiments are discussed in light of isolation literature in other social animals. These analyses help establish translationally relevant zebrafish research as a tool to simplify, explore, and understand behaviour and disorders involving social abnormalities in social vertebrates.
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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".