ANI inactivation: Unconditioned anxiolytic effects of anisomycin in the ventral hippocampus
Bibliographic record
Abstract
Although hippocampal function is typically described in terms of memory, recent evidence suggests a differentiation along its dorsal/ventral axis, with dorsal regions serving memory and ventral regions serving emotion. While long-term memory is thought to be dependent on de novo protein synthesis because it is blocked by translational inhibitors such as anisomycin (ANI), online (moment-to-moment) functions of the hippocampus (such as unconditioned emotional responding) should not be sensitive to such manipulations since they are unlikely to involve neuroplasticity. However, ANI has recently been shown to suppress neural activity which suggests (1) that protein synthesis is critical for neural function and (2) that paradigms using ANI are confounded by its inactivating effects. We tested this idea using a neurobehavioral assay which compared the influence of intrahippocampal infusions of ANI at dorsal and ventral sites on unconditioned emotional behavior of rats. We show that ANI infusions in ventral, but not dorsal, hippocampus produced a suppression of anxiety-related responses in two well-established rodent tests: the elevated plus maze and shock-probe burying tests. These results are similar to those previously observed when ventral hippocampal activity is directly suppressed (e.g., by using sodium channel blockers). The present study offers compelling behavioral evidence for the proposal that ANI adversely affects ongoing neural function and therefore its influence is not simply limited to impairing the consolidation of long-term memories
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".